<filename>pognlp/vader_lexicon.py
"""The VADER default lexicon as a string

VADER doesn't seem to import its default lexicon in a way that PyInstaller
# can package. This is a cheap hack so we can pass it to our custom lexicon
# loader.
"""

VADER_LEXICON = """$:	-1.5	0.80623	[-1, -1, -1, -1, -3, -1, -3, -1, -2, -1]
%)	-0.4	1.0198	[-1, 0, -1, 0, 0, -2, -1, 2, -1, 0]
%-)	-1.5	1.43178	[-2, 0, -2, -2, -1, 2, -2, -3, -2, -3]
&-:	-0.4	1.42829	[-3, -1, 0, 0, -1, -1, -1, 2, -1, 2]
&:	-0.7	0.64031	[0, -1, -1, -1, 1, -1, -1, -1, -1, -1]
( '}{' )	1.6	0.66332	[1, 2, 2, 1, 1, 2, 2, 1, 3, 1]
(%	-0.9	0.9434	[0, 0, 1, -1, -1, -1, -2, -2, -1, -2]
('-:	2.2	1.16619	[4, 1, 4, 3, 1, 2, 3, 1, 2, 1]
(':	2.3	0.9	[1, 3, 3, 2, 2, 4, 2, 3, 1, 2]
((-:	2.1	0.53852	[2, 2, 2, 1, 2, 3, 2, 2, 3, 2]
(*	1.1	1.13578	[2, 1, 1, -1, 1, 2, 2, -1, 2, 2]
(-%	-0.7	1.26886	[-1, 2, 0, -1, -1, -2, 0, 0, -3, -1]
(-*	1.3	1.26886	[4, 1, 2, 0, 2, -1, 1, 2, 1, 1]
(-:	1.6	0.8	[2, 2, 1, 3, 1, 1, 1, 3, 1, 1]
(-:0	2.8	0.87178	[3, 2, 3, 4, 3, 2, 3, 1, 4, 3]
(-:<	-0.4	2.15407	[-3, 3, -1, -1, 2, -1, -2, 3, -3, -1]
(-:o	1.5	0.67082	[3, 1, 1, 2, 2, 2, 1, 1, 1, 1]
(-:O	1.5	0.67082	[3, 1, 1, 2, 2, 2, 1, 1, 1, 1]
(-:{	-0.1	1.57797	[-2, -3, 1, -2, 1, 1, 0, 0, 2, 1]
(-:|>*	1.9	0.83066	[3, 2, 2, 1, 0, 2, 3, 2, 2, 2]
(-;	1.3	1.18743	[3, 2, 3, 0, 1, -1, 1, 2, 1, 1]
(-;|	2.1	1.13578	[3, 2, 2, 4, 1, 1, 1, 4, 2, 1]
(8	2.6	1.0198	[4, 2, 1, 3, 3, 3, 3, 1, 2, 4]
(:	2.2	1.16619	[3, 1, 1, 2, 1, 2, 4, 3, 4, 1]
(:0	2.4	1.11355	[0, 2, 3, 4, 3, 2, 3, 3, 1, 3]
(:<	-0.2	2.03961	[-2, -3, 1, 1, 2, -1, 2, 1, -4, 1]
(:o	2.5	0.92195	[3, 3, 1, 3, 3, 1, 2, 2, 4, 3]
(:O	2.5	0.92195	[3, 3, 1, 3, 3, 1, 2, 2, 4, 3]
(;	1.1	1.22066	[3, 1, 1, -1, 1, 2, 2, -1, 1, 2]
(;<	0.3	1.00499	[1, 2, -1, -1, 0, 0, 1, -1, 1, 1]
(=	2.2	1.16619	[3, 1, 2, 2, 1, 1, 4, 3, 4, 1]
(?:	2.1	0.83066	[2, 2, 1, 3, 2, 2, 4, 1, 2, 2]
(^:	1.5	0.67082	[1, 2, 2, 1, 3, 2, 1, 1, 1, 1]
(^;	1.5	0.5	[1, 2, 2, 1, 2, 1, 2, 1, 1, 2]
(^;0	2.0	0.7746	[2, 2, 1, 2, 1, 4, 2, 2, 2, 2]
(^;o	1.9	0.83066	[2, 2, 1, 2, 1, 4, 2, 1, 2, 2]
(o:	1.6	0.8	[2, 1, 3, 1, 1, 1, 2, 3, 1, 1]
)':	-2.0	0.44721	[-2, -2, -2, -2, -1, -3, -2, -2, -2, -2]
)-':	-2.1	0.53852	[-2, -2, -3, -2, -1, -2, -3, -2, -2, -2]
)-:	-2.1	0.9434	[-3, -2, -4, -1, -3, -2, -2, -2, -1, -1]
)-:<	-2.2	0.4	[-2, -2, -2, -2, -2, -2, -3, -3, -2, -2]
)-:{	-2.1	0.9434	[-1, -3, -2, -1, -2, -2, -3, -4, -1, -2]
):	-1.8	0.87178	[-1, -3, -1, -2, -1, -3, -1, -3, -1, -2]
):<	-1.9	0.53852	[-1, -3, -2, -2, -2, -1, -2, -2, -2, -2]
):{	-2.3	0.78102	[-1, -2, -3, -3, -2, -2, -4, -2, -2, -2]
);<	-2.6	0.8	[-2, -2, -2, -3, -2, -3, -2, -2, -4, -4]
*)	0.6	1.42829	[1, -1, 1, -3, 1, 1, 2, 1, 1, 2]
*-)	0.3	1.61555	[1, -3, -2, 2, 1, 1, -1, 2, 1, 1]
*-:	2.1	1.51327	[2, 2, 4, 4, 2, 1, -1, 4, 1, 2]
*-;	2.4	1.62481	[2, 3, 4, 4, 2, 1, -1, 4, 1, 4]
*:	1.9	1.04403	[2, 1, 1, 3, 1, 2, 4, 3, 1, 1]
*<|:-)	1.6	1.28062	[0, 1, 3, 1, 1, 2, 3, 0, 4, 1]
*\0/*	2.3	1.00499	[2, 0, 3, 1, 3, 3, 2, 3, 3, 3]
*^:	1.6	1.42829	[2, 2, 1, 3, 2, 2, 3, 3, -1, -1]
,-:	1.2	0.4	[1, 1, 2, 1, 1, 1, 1, 1, 2, 1]
---'-;-{@	2.3	1.18743	[0, 1, 3, 4, 2, 3, 2, 2, 2, 4]
--<--<@	2.2	1.249	[0, 1, 2, 4, 2, 1, 3, 2, 3, 4]
.-:	-1.2	0.4	[-1, -1, -1, -1, -1, -1, -2, -1, -2, -1]
..###-:	-1.7	0.78102	[-2, -3, -3, -2, -1, -1, -1, -1, -1, -2]
..###:	-1.9	1.04403	[-4, -1, -3, -1, -2, -2, -1, -3, -1, -1]
/-:	-1.3	0.64031	[-1, -1, -1, -1, -1, -1, -1, -2, -3, -1]
/:	-1.3	0.45826	[-2, -1, -1, -1, -2, -1, -1, -2, -1, -1]
/:<	-1.4	0.4899	[-1, -2, -2, -1, -1, -1, -1, -1, -2, -2]
/=	-0.9	0.53852	[-1, -1, -1, 0, -1, -2, -1, -1, -1, 0]
/^:	-1.0	0.7746	[-2, -1, -2, 1, -1, -1, -1, -1, -1, -1]
/o:	-1.4	0.66332	[0, -2, -1, -1, -2, -2, -1, -2, -1, -2]
0-8	0.1	1.44568	[2, -1, -2, 0, 2, 0, 2, 0, -2, 0]
0-|	-1.2	0.4	[-2, -1, -1, -1, -1, -1, -1, -1, -2, -1]
0:)	1.9	1.04403	[2, 2, 2, 1, 0, 2, 4, 1, 3, 2]
0:-)	1.4	0.91652	[2, 1, 0, 1, 2, 3, 2, 1, 2, 0]
0:-3	1.5	0.92195	[2, 1, 0, 2, 2, 3, 2, 1, 2, 0]
0:03	1.9	1.22066	[2, 3, 2, 0, 0, 1, 4, 2, 3, 2]
0;^)	1.6	0.91652	[0, 1, 3, 1, 2, 1, 2, 1, 2, 3]
0_o	-0.3	0.78102	[0, -2, 0, 1, 0, 0, -1, 0, -1, 0]
10q	2.1	1.22066	[1, 3, 1, 2, 1, 4, 3, 4, 1, 1]
1337	2.1	1.13578	[3, 1, 4, 0, 2, 3, 1, 2, 2, 3]
143	3.2	0.74833	[4, 4, 2, 3, 2, 3, 4, 3, 4, 3]
1432	2.6	0.8	[4, 3, 3, 2, 2, 4, 2, 2, 2, 2]
14aa41	2.4	0.91652	[3, 2, 2, 4, 2, 2, 1, 2, 4, 2]
182	-2.9	1.3	[-4, 0, -3, -3, -1, -3, -4, -4, -4, -3]
187	-3.1	1.22066	[-4, 0, -4, -3, -2, -4, -3, -3, -4, -4]
2g2b4g	2.8	0.6	[4, 2, 3, 2, 3, 3, 3, 3, 2, 3]
2g2bt	-0.1	1.57797	[-1, 2, -1, 1, 0, 2, 0, -3, -2, 1]
2qt	2.1	0.83066	[3, 3, 3, 3, 2, 1, 2, 1, 2, 1]
3:(	-2.2	0.87178	[-4, -3, -2, -3, -2, -1, -1, -2, -2, -2]
3:)	0.5	1.28452	[-2, 1, -2, 1, 1, 1, 1, 2, 1, 1]
3:-(	-2.3	0.78102	[-2, -3, -2, -2, -2, -2, -4, -1, -3, -2]
3:-)	-1.4	1.35647	[-1, -2, 1, 1, -2, -2, -3, -1, -3, -2]
4col	-2.2	1.16619	[-2, -3, -1, -3, -4, -1, -2, -1, -4, -1]
4q	-3.1	1.51327	[-3, -3, -4, -2, -4, -4, -4, 1, -4, -4]
5fs	1.5	1.11803	[1, 2, 1, 1, 2, 3, 2, 3, -1, 1]
8)	1.9	0.7	[2, 2, 2, 1, 1, 2, 2, 3, 3, 1]
8-d	1.7	0.64031	[1, 2, 0, 2, 2, 2, 2, 2, 2, 2]
8-o	-0.3	0.78102	[1, -1, 0, 0, 0, -1, 0, -2, 0, 0]
86	-1.6	1.0198	[-1, -1, -1, -1, -1, -4, -1, -2, -1, -3]
8d	2.9	0.53852	[3, 3, 4, 2, 3, 3, 3, 3, 2, 3]
:###..	-2.4	0.91652	[-3, -2, -4, -3, -1, -2, -2, -3, -1, -3]
:$	-0.2	1.83303	[-2, -1, 0, 0, -1, 1, 4, -3, 1, -1]
:&	-0.6	1.0198	[-2, -1, 0, 0, -1, -1, 1, -2, 1, -1]
:'(	-2.2	0.74833	[-2, -1, -2, -2, -2, -2, -4, -3, -2, -2]
:')	2.3	0.78102	[3, 1, 3, 2, 2, 2, 2, 4, 2, 2]
:'-(	-2.4	0.66332	[-2, -1, -2, -3, -2, -3, -3, -3, -2, -3]
:'-)	2.7	0.64031	[2, 1, 3, 3, 3, 3, 3, 3, 3, 3]
:(	-1.9	1.13578	[-2, -3, -2, 0, -1, -1, -2, -3, -1, -4]
:)	2.0	1.18322	[2, 2, 1, 1, 1, 1, 4, 3, 4, 1]
:*	2.5	1.0247	[3, 2, 1, 1, 2, 3, 4, 3, 4, 2]
:-###..	-2.5	0.92195	[-3, -2, -3, -2, -4, -3, -1, -3, -1, -3]
:-&	-0.5	0.92195	[-1, -1, 0, -1, -1, -1, -1, 0, 2, -1]
:-(	-1.5	0.5	[-2, -1, -1, -1, -2, -2, -2, -1, -2, -1]
:-)	1.3	0.45826	[1, 1, 1, 1, 2, 1, 2, 1, 2, 1]
:-))	2.8	1.07703	[3, 4, 4, 1, 2, 2, 4, 2, 4, 2]
:-*	1.7	0.64031	[1, 2, 1, 1, 1, 3, 2, 2, 2, 2]
:-,	1.1	0.53852	[1, 1, 1, 0, 1, 1, 1, 1, 2, 2]
:-.	-0.9	0.53852	[-1, -1, 0, -1, 0, -1, -1, -1, -2, -1]
:-/	-1.2	0.6	[0, -1, -1, -1, -1, -2, -2, -1, -1, -2]
:-<	-1.5	0.5	[-2, -1, -1, -2, -1, -2, -2, -1, -2, -1]
:-d	2.3	0.45826	[2, 2, 3, 3, 2, 3, 2, 2, 2, 2]
:-D	2.3	0.45826	[2, 2, 3, 3, 2, 3, 2, 2, 2, 2]
:-o	0.1	1.3	[2, -1, -2, 0, 1, 1, 2, 0, -1, -1]
:-p	1.2	0.4	[1, 2, 1, 1, 1, 1, 2, 1, 1, 1]
:-[	-1.6	0.4899	[-1, -2, -1, -2, -2, -1, -2, -1, -2, -2]
:-\	-0.9	0.3	[-1, -1, -1, -1, -1, -1, -1, 0, -1, -1]
:-c	-1.3	0.45826	[-1, -1, -1, -2, -2, -1, -2, -1, -1, -1]
:-p	1.5	0.5	[1, 1, 1, 1, 1, 2, 2, 2, 2, 2]
:-|	-0.7	0.64031	[-1, -1, 0, 0, 0, -1, -1, -2, 0, -1]
:-||	-2.5	0.67082	[-2, -2, -2, -3, -2, -3, -3, -2, -2, -4]
:-Þ	0.9	1.04403	[1, -1, 1, 2, 1, -1, 1, 2, 2, 1]
:/	-1.4	0.66332	[-1, -1, -1, -1, -1, -1, -3, -2, -2, -1]
:3	2.3	1.26886	[4, 1, 1, 1, 2, 2, 4, 3, 4, 1]
:<	-2.1	0.7	[-3, -1, -2, -2, -2, -2, -3, -3, -2, -1]
:>	2.1	1.22066	[3, 1, 1, 1, 1, 2, 4, 3, 4, 1]
:?)	1.3	0.64031	[3, 1, 1, 1, 1, 2, 1, 1, 1, 1]
:?c	-1.6	0.4899	[-1, -2, -1, -1, -2, -2, -1, -2, -2, -2]
:@	-2.5	0.80623	[-1, -3, -3, -2, -1, -3, -3, -3, -3, -3]
:d	2.3	1.1	[4, 2, 2, 1, 2, 1, 4, 3, 3, 1]
:D	2.3	1.1	[4, 2, 2, 1, 2, 1, 4, 3, 3, 1]
:l	-1.7	0.9	[-1, -3, -1, -1, -1, -3, -2, -3, -1, -1]
:o	-0.4	1.35647	[2, -1, -2, 0, 1, 0, -3, 0, -1, 0]
:p	1.0	0.7746	[-1, 1, 1, 1, 1, 1, 2, 1, 2, 1]
:s	-1.2	0.9798	[-2, -2, -1, -1, -1, 1, -3, -1, -1, -1]
:[	-2.0	0.63246	[-2, -2, -1, -2, -2, -3, -3, -2, -1, -2]
:\	-1.3	0.45826	[-2, -1, -1, -1, -1, -1, -2, -1, -1, -2]
:]	2.2	1.16619	[3, 1, 1, 1, 3, 1, 4, 2, 2, 4]
:^)	2.1	1.13578	[3, 2, 4, 1, 1, 1, 1, 2, 4, 2]
:^*	2.6	0.91652	[2, 1, 2, 3, 4, 4, 3, 2, 3, 2]
:^/	-1.2	0.6	[-2, -1, -2, 0, -1, -1, -1, -1, -2, -1]
:^\	-1.0	0.44721	[-1, -1, -1, -1, -1, -2, 0, -1, -1, -1]
:^|	-1.0	0.0	[-1, -1, -1, -1, -1, -1, -1, -1, -1, -1]
:c	-2.1	0.83066	[-3, -2, -1, -2, -2, -1, -3, -3, -3, -1]
:c)	2.0	1.18322	[2, 1, 1, 1, 1, 2, 3, 4, 4, 1]
:o)	2.1	0.9434	[1, 3, 3, 1, 1, 3, 2, 3, 1, 3]
:o/	-1.4	0.4899	[-1, -1, -1, -2, -1, -1, -2, -2, -1, -2]
:o\	-1.1	0.3	[-1, -1, -1, -2, -1, -1, -1, -1, -1, -1]
:o|	-0.6	1.0198	[0, 0, 0, 0, -1, 0, 0, -3, 0, -2]
:P	1.4	0.8	[3, 1, 0, 2, 1, 1, 2, 2, 1, 1]
:{	-1.9	0.83066	[-2, -1, -1, -2, -2, -1, -3, -3, -3, -1]
:|	-0.4	1.11355	[-1, -1, 0, -1, -1, -1, 1, -2, 2, 0]
:}	2.1	1.22066	[3, 1, 1, 1, 2, 1, 4, 3, 4, 1]
:Þ	1.1	0.53852	[1, 1, 1, 1, 0, 1, 1, 2, 2, 1]
;)	0.9	1.04403	[2, -1, 1, 1, 1, 1, -1, 2, 2, 1]
;-)	1.0	1.73205	[1, -2, 1, -2, 1, 4, 2, 1, 2, 2]
;-*	2.2	0.74833	[2, 2, 1, 3, 4, 2, 2, 2, 2, 2]
;-]	0.7	1.67631	[1, -2, 1, -3, 1, 2, 2, 1, 2, 2]
;d	0.8	1.249	[2, -1, 2, 1, 1, 1, -2, 2, 1, 1]
;D	0.8	1.249	[2, -1, 2, 1, 1, 1, -2, 2, 1, 1]
;]	0.6	1.11355	[1, -1, 1, 1, 1, 1, -2, 2, 1, 1]
;^)	1.4	0.91652	[2, 2, 1, 2, 1, 2, -1, 1, 2, 2]
</3	-3.0	1.0	[-3, -3, -4, -3, -4, -1, -2, -2, -4, -4]
<3	1.9	1.13578	[3, 2, 1, 3, 1, 4, 2, 0, 1, 2]
<:	2.1	1.13578	[3, 2, 4, 1, 1, 1, 1, 2, 4, 2]
<:-|	-1.4	0.66332	[-1, -1, -1, -2, -2, -1, -3, -1, -1, -1]
=)	2.2	1.16619	[4, 2, 3, 3, 2, 1, 1, 4, 1, 1]
=-3	2.0	0.63246	[2, 2, 2, 3, 1, 3, 1, 2, 2, 2]
=-d	2.4	0.91652	[2, 2, 1, 3, 2, 4, 2, 4, 2, 2]
=-D	2.4	0.91652	[2, 2, 1, 3, 2, 4, 2, 4, 2, 2]
=/	-1.4	0.91652	[-1, -1, -1, -1, -1, -2, -1, -1, -4, -1]
=3	2.1	0.7	[3, 1, 2, 1, 2, 3, 2, 2, 3, 2]
=d	2.3	0.45826	[3, 2, 2, 2, 2, 3, 2, 2, 2, 3]
=D	2.3	0.45826	[3, 2, 2, 2, 2, 3, 2, 2, 2, 3]
=l	-1.2	0.6	[-2, -1, -1, 0, -2, -1, -2, -1, -1, -1]
=\	-1.2	0.6	[-2, -1, -1, 0, -2, -1, -2, -1, -1, -1]
=]	1.6	0.8	[2, 1, 3, 1, 1, 1, 2, 3, 1, 1]
=p	1.3	0.9	[2, 1, 2, 1, 2, -1, 1, 2, 2, 1]
=|	-0.8	0.87178	[-2, -1, -2, 1, 0, -1, 0, -1, -1, -1]
>-:	-2.0	0.89443	[-2, -3, -2, -4, -1, -1, -1, -2, -2, -2]
>.<	-1.3	0.45826	[-1, -2, -1, -2, -2, -1, -1, -1, -1, -1]
>:	-2.1	1.13578	[-4, -1, -1, -4, -2, -3, -1, -1, -2, -2]
>:(	-2.7	0.64031	[-2, -3, -2, -3, -3, -2, -4, -2, -3, -3]
>:)	0.4	1.42829	[1, 1, 2, 1, -1, -2, 1, 2, -2, 1]
>:-(	-2.7	0.78102	[-3, -2, -3, -2, -4, -2, -3, -2, -2, -4]
>:-)	-0.4	1.68523	[1, 2, 1, -2, -2, -1, -1, -3, -1, 2]
>:/	-1.6	0.8	[-1, -2, -1, -3, -1, -1, -1, -1, -2, -3]
>:o	-1.2	1.16619	[-3, -1, -2, 0, -2, -2, 0, -1, 1, -2]
>:p	1.0	0.7746	[-1, 1, 1, 2, 1, 2, 1, 1, 1, 1]
>:[	-2.1	0.53852	[-2, -2, -2, -2, -3, -3, -2, -1, -2, -2]
>:\	-1.7	0.64031	[-1, -2, -1, -2, -2, -3, -1, -1, -2, -2]
>;(	-2.9	0.7	[-3, -4, -3, -2, -2, -3, -3, -3, -2, -4]
>;)	0.1	1.04403	[-1, 1, 0, -1, 2, 0, -1, 1, 1, -1]
>_>^	2.1	0.9434	[2, 2, 1, 4, 3, 2, 1, 3, 1, 2]
@:	-2.1	0.9434	[-3, -2, -3, -1, -2, -4, -1, -2, -1, -2]
@>-->--	2.1	1.22066	[1, 1, 0, 2, 4, 2, 4, 2, 3, 2]
@}-;-'---	2.2	1.32665	[0, 1, 3, 2, 1, 4, 4, 1, 3, 3]
aas	2.5	0.80623	[2, 3, 3, 4, 1, 2, 3, 2, 2, 3]
aayf	2.7	0.78102	[2, 3, 2, 4, 3, 2, 2, 3, 4, 2]
afu	-2.9	0.83066	[-3, -3, -3, -3, -3, -1, -4, -4, -2, -3]
alol	2.8	0.74833	[2, 2, 2, 3, 3, 2, 3, 4, 4, 3]
ambw	2.9	0.7	[2, 3, 4, 2, 3, 2, 3, 3, 4, 3]
aml	3.4	0.66332	[4, 3, 2, 4, 3, 3, 4, 4, 3, 4]
atab	-1.9	1.22066	[-2, 0, -1, -2, -1, -1, -2, -4, -4, -2]
awol	-1.3	0.78102	[0, -1, -1, -1, -1, -1, -2, -2, -3, -1]
ayc	0.2	0.9798	[0, 1, -1, 1, 0, 1, 0, -1, 2, -1]
ayor	-1.2	0.6	[-1, -1, -2, -2, -1, -1, -1, 0, -2, -1]
aug-00	0.3	1.18743	[2, 0, -2, 0, 0, 1, -1, 2, 1, 0]
bfd	-2.7	0.78102	[-3, -2, -4, -2, -3, -2, -3, -2, -4, -2]
bfe	-2.6	1.35647	[-3, -3, -4, -2, -3, -2, 1, -3, -4, -3]
bff	2.9	0.83066	[3, 3, 4, 2, 4, 2, 2, 3, 4, 2]
bffn	1.0	0.89443	[2, 1, -1, 1, 0, 1, 2, 1, 2, 1]
bl	2.3	1.1	[2, 1, 4, 1, 2, 2, 4, 3, 1, 3]
bsod	-2.2	1.07703	[-1, -4, -3, -3, 0, -2, -3, -2, -2, -2]
btd	-2.1	0.83066	[-1, -2, -3, -3, -3, -1, -3, -2, -1, -2]
btdt	-0.1	1.22066	[0, -1, 0, -1, 0, 3, 1, -1, -1, -1]
bz	0.4	1.35647	[-1, 0, 0, 0, 4, 1, -1, 1, 0, 0]
b^d	2.6	0.8	[3, 2, 2, 4, 3, 1, 3, 3, 3, 2]
cwot	-2.3	0.45826	[-3, -2, -2, -2, -2, -3, -2, -3, -2, -2]
d-':	-2.5	0.67082	[-3, -3, -2, -2, -2, -4, -2, -3, -2, -2]
d8	-3.2	0.6	[-3, -3, -3, -3, -4, -4, -2, -3, -3, -4]
d:	-2.9	0.83066	[-3, -3, -3, -3, -2, -4, -1, -3, -3, -4]
d:<	-3.2	0.9798	[-4, -4, -4, -1, -3, -3, -4, -2, -3, -4]
d;	-2.9	0.83066	[-1, -3, -3, -3, -3, -4, -2, -3, -3, -4]
d=	-3.0	0.89443	[-4, -3, -3, -3, -2, -4, -1, -3, -3, -4]
doa	-2.3	1.00499	[-2, -3, -3, -2, -2, -2, -4, 0, -2, -3]
dx	-3.0	0.63246	[-3, -2, -3, -3, -4, -3, -4, -2, -3, -3]
ez	1.5	0.67082	[3, 2, 2, 1, 1, 1, 2, 1, 1, 1]
fav	2.4	0.91652	[3, 1, 3, 2, 2, 3, 1, 2, 3, 4]
fcol	-1.8	0.74833	[-2, -2, -1, -2, -1, -2, -1, -3, -3, -1]
ff	1.8	1.249	[4, 2, 1, 2, 1, 3, 3, 0, 2, 0]
ffs	-2.8	0.9798	[-2, -2, -3, -3, -2, -4, -4, -4, -1, -3]
fkm	-2.4	1.35647	[-4, -1, -4, -2, -2, -3, -1, 0, -3, -4]
foaf	1.8	1.249	[2, 1, 2, 0, 4, 1, 1, 1, 2, 4]
ftw	2.0	0.7746	[2, 1, 1, 2, 2, 2, 3, 3, 1, 3]
fu	-3.7	0.45826	[-3, -4, -4, -3, -3, -4, -4, -4, -4, -4]
fubar	-3.0	1.09545	[-4, -3, -3, -4, -3, -3, -3, -4, 0, -3]
fwb	2.5	1.43178	[2, 3, 4, 0, 1, 2, 4, 1, 4, 4]
fyi	0.8	1.66132	[0, 1, 0, -1, 0, 0, 4, 4, 0, 0]
fysa	0.4	0.91652	[0, 0, 0, 1, 0, 3, 0, 0, 0, 0]
g1	1.4	0.4899	[2, 1, 1, 1, 2, 1, 2, 1, 1, 2]
gg	1.2	0.74833	[0, 2, 2, 1, 0, 1, 2, 2, 1, 1]
gga	1.7	0.45826	[2, 2, 1, 2, 2, 1, 2, 2, 1, 2]
gigo	-0.6	1.11355	[-2, -1, 1, 0, 0, 0, -1, -2, -2, 1]
gj	2.0	1.0	[2, 1, 2, 1, 1, 3, 4, 2, 3, 1]
gl	1.3	0.64031	[1, 1, 1, 1, 3, 1, 1, 2, 1, 1]
gla	2.5	0.92195	[1, 2, 2, 4, 2, 4, 2, 3, 3, 2]
gn	1.2	0.74833	[1, 1, 1, 1, 3, 1, 1, 2, 1, 0]
gr8	2.7	0.78102	[1, 3, 3, 4, 3, 2, 3, 2, 3, 3]
grrr	-0.4	1.42829	[-2, -1, 0, 1, -2, -1, -1, 3, 0, -1]
gt	1.1	0.53852	[1, 1, 1, 1, 1, 1, 2, 1, 0, 2]
h&k	2.3	0.78102	[2, 2, 2, 3, 4, 2, 3, 2, 1, 2]
hagd	2.2	0.87178	[2, 2, 3, 2, 1, 3, 4, 1, 2, 2]
hagn	2.2	0.87178	[2, 2, 3, 2, 1, 3, 4, 1, 2, 2]
hago	1.2	0.4	[1, 2, 1, 1, 1, 2, 1, 1, 1, 1]
hak	1.9	0.7	[3, 1, 2, 2, 1, 2, 3, 2, 1, 2]
hand	2.2	0.87178	[2, 2, 1, 3, 2, 3, 4, 1, 2, 2]
heart	3.2	0.63246	[3, 3, 4, 3, 4, 2, 3, 4, 3, 3]
hearts	3.3	0.48305	[4, 3, 3, 3, 4, 3, 3, 3, 4, 3]
hho1/2k	1.4	1.11355	[1, -1, 2, 3, 1, 1, 1, 2, 3, 1]
hhoj	2.0	1.09545	[4, 2, 1, 1, 2, 1, 1, 4, 2, 2]
hhok	0.9	0.9434	[1, 2, 1, 0, -1, 0, 2, 1, 1, 2]
hugz	2.0	0.7746	[2, 3, 1, 3, 1, 3, 1, 2, 2, 2]
hi5	1.9	0.53852	[2, 2, 2, 1, 3, 2, 1, 2, 2, 2]
idk	-0.4	0.66332	[0, 0, 0, 0, -1, -2, 0, 0, 0, -1]
ijs	0.7	1.84662	[0, -1, 0, -1, 0, 4, 0, 4, -1, 2]
ilu	3.4	0.66332	[3, 4, 3, 4, 2, 3, 4, 3, 4, 4]
iluaaf	2.7	1.1	[3, 3, 3, 2, 3, 0, 4, 3, 2, 4]
ily	3.4	0.66332	[3, 4, 3, 4, 2, 3, 4, 3, 4, 4]
ily2	2.6	0.66332	[3, 2, 3, 2, 3, 2, 3, 4, 2, 2]
iou	0.7	1.34536	[0, 0, -1, 2, 0, 0, 0, 4, 1, 1]
iyq	2.3	1.18743	[3, 3, 1, 1, 2, 1, 4, 4, 3, 1]
j/j	2.0	1.34164	[4, 1, 1, 1, 1, 4, 4, 1, 2, 1]
j/k	1.6	1.2	[1, 2, 1, 3, 0, 0, 2, 2, 1, 4]
j/p	1.4	0.66332	[1, 1, 0, 2, 1, 2, 2, 2, 1, 2]
j/t	-0.2	1.46969	[1, -1, -1, -2, 1, 1, 2, -2, 1, -2]
j/w	1.0	1.0	[1, 1, 1, 3, 0, 0, 0, 2, 0, 2]
j4f	1.4	0.8	[2, 1, 1, 0, 3, 1, 1, 1, 2, 2]
j4g	1.7	1.18743	[1, 4, 1, 1, 3, 1, 3, 0, 2, 1]
jho	0.8	0.4	[1, 1, 1, 1, 0, 1, 1, 1, 0, 1]
jhomf	1.0	0.63246	[1, 1, 1, 0, 1, 0, 2, 2, 1, 1]
jj	1.0	0.63246	[1, 1, 1, 1, 2, 0, 2, 1, 1, 0]
jk	0.9	1.22066	[1, 0, 0, 1, 0, 0, 2, 1, 4, 0]
jp	0.8	0.74833	[1, 1, 1, 0, 2, 0, 2, 0, 1, 0]
jt	0.9	0.83066	[1, 1, 0, 2, 2, 0, 2, 0, 1, 0]
jw	1.6	1.68523	[3, 0, 0, 0, 0, 0, 3, 4, 2, 4]
jealz	-1.2	0.9798	[-1, -1, -1, 1, -2, -2, -1, -3, -1, -1]
k4y	2.3	1.00499	[2, 1, 1, 2, 4, 2, 3, 4, 2, 2]
kfy	2.3	0.64031	[2, 2, 2, 1, 3, 2, 3, 3, 2, 3]
kia	-3.2	0.6	[-3, -3, -3, -4, -3, -2, -3, -3, -4, -4]
kk	1.5	1.0247	[2, 1, 0, 0, 1, 2, 3, 3, 2, 1]
kmuf	2.2	1.4	[2, 2, 2, 3, 4, 3, -1, 1, 4, 2]
l	2.0	0.7746	[2, 1, 2, 3, 2, 3, 1, 3, 2, 1]
l&r	2.2	0.74833	[3, 2, 2, 3, 1, 3, 1, 3, 2, 2]
laoj	1.3	1.73494	[1, -2, -1, 3, 3, 2, 4, 1, 1, 1]
lmao	2.0	1.18322	[3, 0, 3, 0, 3, 1, 3, 2, 3, 2]
lmbao	1.8	1.77764	[3, 2, 2, 2, 1, 3, -3, 2, 4, 2]
lmfao	2.5	1.28452	[3, 2, 3, 3, 3, -1, 4, 2, 3, 2]
lmso	2.7	0.78102	[3, 3, 4, 3, 3, 1, 3, 3, 2, 2]
lol	2.9	0.83066	[4, 2, 2, 2, 4, 2, 3, 3, 4, 3]
lolz	2.7	0.78102	[2, 3, 3, 2, 2, 4, 4, 3, 2, 2]
lts	1.6	0.66332	[1, 1, 2, 2, 1, 3, 1, 1, 2, 2]
ly	2.6	0.91652	[2, 2, 1, 3, 4, 4, 3, 2, 2, 3]
ly4e	2.7	0.78102	[3, 3, 3, 2, 1, 3, 3, 4, 2, 3]
lya	3.3	0.78102	[3, 4, 4, 4, 2, 2, 3, 4, 3, 4]
lyb	3.0	0.63246	[3, 3, 4, 3, 2, 3, 2, 4, 3, 3]
lyl	3.1	0.7	[4, 3, 4, 3, 2, 3, 3, 2, 4, 3]
lylab	2.7	0.78102	[3, 3, 3, 1, 3, 4, 2, 2, 3, 3]
lylas	2.6	0.8	[3, 3, 3, 1, 3, 4, 2, 2, 2, 3]
lylb	1.6	1.56205	[2, 2, 3, -2, 4, 1, 3, 1, 1, 1]
m8	1.4	1.0198	[3, 0, 1, 0, 1, 3, 2, 2, 1, 1]
mia	-1.2	0.4	[-2, -1, -1, -2, -1, -1, -1, -1, -1, -1]
mml	2.0	1.0	[1, 1, 2, 3, 3, 2, 1, 2, 4, 1]
mofo	-2.4	2.2	[-4, -4, -4, 0, -3, -2, -2, -4, 3, -4]
muah	2.8	1.07703	[1, 2, 4, 4, 4, 2, 4, 2, 2, 3]
mubar	-1.0	2.36643	[-4, -2, -3, -2, -2, -2, 1, 4, 2, -2]
musm	0.9	2.07123	[-1, 1, 1, 1, 4, 3, 1, -4, 1, 2]
mwah	2.5	0.80623	[2, 2, 2, 4, 2, 3, 2, 2, 4, 2]
n1	1.9	1.04403	[1, 1, 3, 2, 2, 3, 4, 1, 1, 1]
nbd	1.3	1.34536	[2, 1, 0, 0, 0, 4, 2, 0, 3, 1]
nbif	-0.5	0.67082	[-1, -2, 0, 0, 0, 0, -1, -1, 0, 0]
nfc	-2.7	0.9	[-3, -2, -2, -3, -1, -2, -4, -3, -4, -3]
nfw	-2.4	1.0198	[-2, -2, -1, -3, -1, -2, -4, -3, -4, -2]
nh	2.2	0.6	[2, 2, 2, 2, 1, 3, 3, 3, 2, 2]
nimby	-0.8	0.6	[0, 0, -1, 0, -1, -2, -1, -1, -1, -1]
nimjd	-0.7	0.78102	[0, -2, -1, -2, 0, -1, 0, 0, 0, -1]
nimq	-0.2	0.6	[0, 0, 0, 0, 0, 0, 0, 0, -2, 0]
nimy	-1.4	1.68523	[-1, -2, -3, -2, -1, 2, -3, 0, 0, -4]
nitl	-1.5	0.92195	[-1, -1, -2, -3, -1, -3, -1, -2, 0, -1]
nme	-2.1	1.13578	[-1, -2, -2, -1, -4, -2, -3, -3, 0, -3]
noyb	-0.7	1.67631	[-1, -2, 0, -1, -1, -2, -2, -1, 4, -1]
np	1.4	1.0198	[0, 1, 1, 1, 1, 2, 2, 4, 1, 1]
ntmu	1.4	0.66332	[1, 1, 0, 1, 2, 2, 2, 2, 2, 1]
o-8	-0.5	1.5	[2, -1, 0, 0, -2, -2, 0, -2, 2, -2]
o-:	-0.3	1.18743	[2, -1, 0, 0, -1, -2, 0, -2, 1, 0]
o-|	-1.1	0.53852	[-1, -1, -1, 0, -1, -1, -1, -2, -2, -1]
o.o	-0.6	0.8	[-1, -1, -2, 0, 1, 0, -1, 0, -1, -1]
O.o	-0.6	0.8	[-1, -1, -2, 0, 1, 0, -1, 0, -1, -1]
o.O	-0.6	0.8	[-1, -1, -2, 0, 1, 0, -1, 0, -1, -1]
o:	-0.2	0.87178	[-1, 0, -1, -2, 0, 1, 0, 1, 0, 0]
o:)	1.5	0.67082	[3, 1, 1, 2, 2, 2, 1, 1, 1, 1]
o:-)	2.0	1.18322	[1, 4, 1, 2, 4, 1, 1, 2, 3, 1]
o:-3	2.2	0.9798	[1, 4, 2, 3, 3, 2, 1, 2, 3, 1]
o:3	2.3	0.78102	[3, 3, 2, 2, 1, 2, 4, 2, 2, 2]
o:<	-0.3	1.1	[-1, -1, -2, 0, -1, 0, 1, 2, 0, -1]
o;^)	1.6	0.8	[1, 2, 1, 2, 1, 2, 2, 0, 3, 2]
ok	1.6	1.42829	[0, 0, 1, 1, 1, 4, 3, 4, 1, 1]
o_o	-0.5	0.92195	[0, -1, 0, -2, -2, 0, -1, 1, 0, 0]
O_o	-0.5	0.92195	[0, -1, 0, -2, -2, 0, -1, 1, 0, 0]
o_O	-0.5	0.92195	[0, -1, 0, -2, -2, 0, -1, 1, 0, 0]
pita	-2.4	1.2	[-2, -1, -1, -4, -4, -2, -4, -2, -3, -1]
pls	0.3	0.45826	[0, 1, 1, 1, 0, 0, 0, 0, 0, 0]
plz	0.3	0.45826	[0, 1, 1, 1, 0, 0, 0, 0, 0, 0]
pmbi	0.8	1.32665	[3, 0, 0, 1, 1, -2, 2, 2, 0, 1]
pmfji	0.3	0.78102	[0, 0, 1, 0, 2, -1, 0, 1, 0, 0]
pmji	0.7	1.00499	[1, 2, 0, -1, 0, 0, 2, 2, 1, 0]
po	-2.6	0.91652	[-2, -3, -4, -3, -3, -3, -1, -3, -1, -3]
ptl	2.6	1.11355	[3, 4, 2, 4, 1, 2, 3, 1, 4, 2]
pu	-1.1	1.3	[-3, -1, -3, -2, -1, -1, -1, -1, 1, 1]
qq	-2.2	0.6	[-2, -2, -1, -3, -3, -2, -2, -3, -2, -2]
qt	1.8	0.6	[2, 2, 1, 2, 1, 3, 2, 1, 2, 2]
r&r	2.4	1.0198	[2, 4, 2, 3, 1, 4, 2, 2, 1, 3]
rofl	2.7	0.78102	[3, 2, 2, 2, 4, 4, 2, 3, 3, 2]
roflmao	2.5	1.11803	[4, 2, 2, 4, 1, 1, 2, 4, 3, 2]
rotfl	2.6	0.66332	[3, 2, 3, 3, 1, 3, 3, 3, 2, 3]
rotflmao	2.8	1.07703	[4, 3, 2, 4, 1, 1, 4, 3, 3, 3]
rotflmfao	2.5	1.11803	[3, 4, 1, 3, 3, 3, 0, 3, 2, 3]
rotflol	3.0	1.09545	[1, 4, 4, 4, 2, 2, 2, 3, 4, 4]
rotgl	2.9	0.7	[4, 3, 2, 2, 3, 3, 3, 2, 4, 3]
rotglmao	1.8	2.4	[3, 3, 4, 3, -1, 1, 4, -4, 2, 3]
s:	-1.1	0.83066	[-1, -1, -2, -2, -1, -1, -2, -1, 1, -1]
sapfu	-1.1	1.57797	[-2, 0, -3, -1, -1, 1, -2, 2, -2, -3]
sete	2.8	0.87178	[3, 3, 3, 2, 3, 3, 4, 4, 1, 2]
sfete	2.7	0.78102	[4, 3, 3, 3, 2, 4, 2, 2, 2, 2]
sgtm	2.4	1.0198	[2, 1, 1, 2, 3, 3, 2, 2, 4, 4]
slap	0.6	2.15407	[2, -1, 1, -1, 0, 4, -3, 4, 1, -1]
slaw	2.1	1.04403	[3, 2, 0, 2, 2, 2, 3, 1, 4, 2]
smh	-1.3	0.64031	[-2, -1, 0, -1, -1, -2, -2, -1, -2, -1]
snafu	-2.5	1.11803	[-3, -4, -3, -3, -1, 0, -2, -3, -3, -3]
sob	-2.8	0.9798	[-3, -4, -3, -2, -2, -1, -2, -4, -4, -3]
swak	2.3	1.00499	[2, 2, 2, 1, 4, 2, 3, 2, 1, 4]
tgif	2.3	1.34536	[1, 3, 3, 3, -1, 2, 4, 2, 3, 3]
thks	1.4	0.4899	[1, 2, 1, 2, 1, 2, 1, 1, 2, 1]
thx	1.5	0.92195	[0, 1, 3, 2, 1, 2, 1, 1, 3, 1]
tia	2.3	0.9	[3, 1, 2, 1, 4, 3, 2, 3, 2, 2]
tmi	-0.3	1.61555	[-1, -1, 2, -1, 1, -2, -2, -1, 3, -1]
tnx	1.1	0.53852	[2, 1, 1, 0, 1, 1, 2, 1, 1, 1]
true	1.8	1.32665	[2, 1, 1, 0, 1, 4, 3, 1, 4, 1]
tx	1.5	0.92195	[3, 2, 1, 0, 2, 1, 3, 1, 1, 1]
txs	1.1	0.7	[1, 2, 0, 1, 2, 0, 1, 2, 1, 1]
ty	1.6	0.66332	[1, 2, 3, 1, 2, 2, 1, 2, 1, 1]
tyvm	2.5	1.11803	[2, 2, 1, 3, 1, 4, 2, 4, 2, 4]
urw	1.9	1.13578	[1, 2, 1, 2, 4, 2, 4, 1, 1, 1]
vbg	2.1	1.75784	[2, 3, 3, 3, 3, -3, 3, 2, 2, 3]
vbs	3.1	0.53852	[2, 3, 3, 3, 4, 4, 3, 3, 3, 3]
vip	2.3	1.00499	[2, 1, 1, 3, 4, 2, 2, 4, 2, 2]
vwd	2.6	0.91652	[4, 2, 4, 2, 1, 3, 3, 2, 3, 2]
vwp	2.1	0.7	[3, 1, 2, 2, 3, 2, 2, 3, 1, 2]
wag	-0.2	0.74833	[-1, 0, 0, 0, 0, 0, -2, 1, 0, 0]
wd	2.7	1.1	[3, 1, 4, 3, 4, 2, 1, 3, 2, 4]
wilco	0.9	0.9434	[1, 3, 1, 0, 1, 0, 2, 1, 0, 0]
wp	1.0	0.0	[1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
wtf	-2.8	0.74833	[-4, -3, -2, -3, -2, -2, -2, -4, -3, -3]
wtg	2.1	0.7	[1, 3, 2, 3, 2, 2, 2, 1, 2, 3]
wth	-2.4	0.4899	[-2, -3, -2, -3, -2, -2, -2, -3, -3, -2]
x-d	2.7	0.78102	[1, 3, 4, 2, 3, 3, 3, 2, 3, 3]
x-p	1.8	0.87178	[2, 1, 3, 1, 3, 1, 3, 1, 2, 1]
xd	2.7	0.9	[1, 4, 4, 3, 2, 2, 3, 3, 2, 3]
xlnt	3.0	0.89443	[4, 3, 3, 1, 4, 4, 3, 3, 3, 2]
xoxo	3.0	0.7746	[2, 2, 4, 2, 3, 3, 4, 3, 3, 4]
xoxozzz	2.3	0.78102	[3, 1, 2, 2, 2, 2, 3, 2, 4, 2]
xp	1.2	0.4	[1, 1, 1, 1, 2, 1, 2, 1, 1, 1]
xqzt	1.6	1.42829	[0, 2, 1, 2, 4, -1, 3, 1, 1, 3]
xtc	0.8	1.93907	[2, 0, -3, 3, 3, -1, 3, 1, -1, 1]
yolo	1.1	0.83066	[0, 1, 1, 2, 1, 1, 1, 3, 0, 1]
yoyo	0.4	1.85472	[-1, 0, -1, -1, 4, 2, -2, 2, 2, -1]
yvw	1.6	0.4899	[1, 2, 1, 1, 2, 2, 2, 1, 2, 2]
yw	1.8	1.32665	[1, 1, 1, 4, 1, 1, 4, 0, 3, 2]
ywia	2.5	1.11803	[3, 2, 3, 4, 1, 1, 1, 3, 3, 4]
zzz	-1.2	0.87178	[0, -1, 0, -1, -3, -1, -1, -2, -2, -1]
[-;	0.5	1.28452	[1, -1, -1, 1, 1, 1, 2, -2, 2, 1]
[:	1.3	0.45826	[1, 1, 2, 1, 2, 2, 1, 1, 1, 1]
[;	1.0	1.34164	[2, 1, 2, 2, 1, 2, 2, -2, -1, 1]
[=	1.7	0.64031	[2, 2, 1, 1, 1, 2, 2, 3, 2, 1]
\-:	-1.0	1.18322	[-3, -1, -1, -1, -1, -1, 2, -2, -1, -1]
\:	-1.0	0.0	[-1, -1, -1, -1, -1, -1, -1, -1, -1, -1]
\:<	-1.7	1.18743	[-1, -3, -2, -2, -3, -3, -2, -1, 1, -1]
\=	-1.1	0.3	[-1, -1, -1, -1, -1, -1, -1, -2, -1, -1]
\^:	-1.3	0.45826	[-1, -1, -1, -2, -1, -1, -1, -2, -2, -1]
\o/	2.2	0.9798	[2, 1, 1, 2, 4, 2, 2, 4, 2, 2]
\o:	-1.2	0.4	[-1, -1, -1, -1, -2, -1, -1, -2, -1, -1]
]-:	-2.1	0.53852	[-2, -3, -3, -2, -2, -2, -1, -2, -2, -2]
]:	-1.6	0.66332	[-1, -2, -1, -2, -3, -2, -1, -1, -1, -2]
]:<	-2.5	0.80623	[-2, -2, -2, -3, -4, -2, -2, -2, -2, -4]
^<_<	1.4	1.11355	[3, 1, 3, 2, 1, 1, 1, -1, 2, 1]
^urs	-2.8	0.6	[-2, -3, -3, -2, -3, -3, -2, -3, -4, -3]
abandon	-1.9	0.53852	[-1, -2, -2, -2, -2, -3, -2, -2, -1, -2]
abandoned	-2.0	1.09545	[-1, -1, -3, -2, -1, -4, -1, -3, -3, -1]
abandoner	-1.9	0.83066	[-1, -1, -3, -2, -1, -3, -1, -2, -3, -2]
abandoners	-1.9	0.83066	[-2, -3, -2, -3, -2, -1, -2, -2, 0, -2]
abandoning	-1.6	0.8	[-3, -2, -3, -2, -1, -1, -1, -1, -1, -1]
abandonment	-2.4	1.0198	[-4, -2, -1, -4, -2, -1, -2, -3, -3, -2]
abandonments	-1.7	0.45826	[-2, -1, -2, -2, -1, -2, -1, -2, -2, -2]
abandons	-1.3	0.9	[-2, -1, -1, -2, -1, -2, -1, -2, 1, -2]
abducted	-2.3	1.18743	[-3, -1, 0, -3, -1, -3, -4, -2, -3, -3]
abduction	-2.8	0.87178	[-4, -3, -3, -4, -1, -3, -2, -2, -3, -3]
abductions	-2.0	1.41421	[-3, -4, -1, -3, -1, -3, 1, -2, -1, -3]
abhor	-2.0	1.09545	[-3, -3, -1, -1, -2, -1, -3, -3, 0, -3]
abhorred	-2.4	1.49666	[-4, -4, 0, -3, -2, -1, -4, -3, -3, 0]
abhorrent	-3.1	1.3	[-4, -4, -4, -2, 0, -4, -2, -3, -4, -4]
abhors	-2.9	1.51327	[0, -4, -3, -3, -4, -4, 0, -4, -3, -4]
abilities	1.0	0.63246	[1, 2, 0, 1, 0, 1, 1, 1, 1, 2]
ability	1.3	0.64031	[1, 1, 1, 0, 1, 2, 2, 2, 2, 1]
aboard	0.1	0.3	[0, 0, 0, 0, 1, 0, 0, 0, 0, 0]
absentee	-1.1	0.53852	[-1, -1, 0, -2, -1, -1, -2, -1, -1, -1]
absentees	-0.8	0.6	[-1, 0, 0, -1, -1, 0, -2, -1, -1, -1]
absolve	1.2	1.46969	[2, -3, 2, 2, 1, 1, 2, 1, 2, 2]
absolved	1.5	0.92195	[3, 1, 2, 1, 0, 2, 3, 1, 1, 1]
absolves	1.3	1.00499	[3, 1, 1, 0, 0, 2, 3, 1, 1, 1]
absolving	1.6	0.8	[3, 1, 2, 1, 1, 2, 3, 1, 1, 1]
abuse	-3.2	0.6	[-4, -2, -3, -4, -3, -4, -3, -3, -3, -3]
abused	-2.3	0.64031	[-2, -2, -3, -2, -2, -4, -2, -2, -2, -2]
abuser	-2.6	0.4899	[-3, -2, -3, -3, -2, -3, -2, -2, -3, -3]
abusers	-2.6	1.0198	[-2, -3, -3, -3, -3, -2, -3, -4, -3, 0]
abuses	-2.6	0.66332	[-3, -2, -3, -3, -3, -3, -1, -2, -3, -3]
abusing	-2.0	1.41421	[-1, -2, -2, -4, -4, -2, -3, -1, 1, -2]
abusive	-3.2	0.74833	[-4, -3, -3, -4, -4, -3, -4, -2, -3, -2]
abusively	-2.8	0.6	[-3, -4, -3, -2, -3, -2, -2, -3, -3, -3]
abusiveness	-2.5	0.92195	[-2, -4, -2, -3, -2, -3, -4, -2, -1, -2]
abusivenesses	-3.0	0.63246	[-3, -3, -4, -3, -4, -2, -2, -3, -3, -3]
accept	1.6	0.91652	[2, 1, 2, 1, 1, 2, 4, 1, 1, 1]
acceptabilities	1.6	0.66332	[0, 2, 2, 2, 1, 2, 2, 2, 1, 2]
acceptability	1.1	0.53852	[1, 0, 1, 2, 1, 2, 1, 1, 1, 1]
acceptable	1.3	0.45826	[1, 2, 1, 1, 1, 2, 1, 1, 2, 1]
acceptableness	1.3	0.9	[1, 0, 2, 1, 2, 1, 1, 0, 2, 3]
acceptably	1.5	0.67082	[3, 2, 1, 1, 1, 2, 1, 1, 2, 1]
acceptance	2.0	0.63246	[3, 1, 3, 2, 1, 2, 2, 2, 2, 2]
acceptances	1.7	0.78102	[3, 1, 1, 1, 2, 2, 1, 2, 3, 1]
acceptant	1.6	0.8	[0, 1, 2, 2, 2, 1, 2, 1, 3, 2]
acceptation	1.3	0.78102	[0, 1, 2, 1, 1, 1, 1, 3, 2, 1]
acceptations	0.9	0.83066	[1, 2, 0, 2, 0, 1, 0, 2, 1, 0]
accepted	1.1	0.3	[1, 1, 1, 1, 1, 2, 1, 1, 1, 1]
accepting	1.6	0.66332	[2, 2, 2, 1, 1, 2, 1, 3, 1, 1]
accepts	1.3	0.45826	[1, 2, 1, 1, 1, 2, 2, 1, 1, 1]
accident	-2.1	0.83066	[-2, -2, -1, -3, -4, -2, -2, -1, -2, -2]
accidental	-0.3	0.45826	[-1, -1, 0, 0, 0, 0, 0, 0, -1, 0]
accidentally	-1.4	0.91652	[-2, 0, -2, 0, -3, -1, -1, -1, -2, -2]
accidents	-1.3	0.78102	[-1, -1, -1, -1, -2, 0, -3, -1, -2, -1]
accomplish	1.8	0.6	[1, 2, 3, 2, 2, 2, 1, 1, 2, 2]
accomplished	1.9	0.53852	[2, 2, 2, 1, 2, 2, 3, 1, 2, 2]
accomplishes	1.7	0.9	[2, 2, 1, 0, 2, 3, 3, 1, 1, 2]
accusation	-1.0	1.09545	[-1, -1, -2, -2, -2, -1, -1, -1, 2, -1]
accusations	-1.3	1.26886	[-2, -2, -1, -3, -2, -1, -1, 2, -2, -1]
accuse	-0.8	1.53623	[-3, -1, -1, -2, 1, -2, 1, -2, 2, -1]
accused	-1.2	1.46969	[-2, -1, -2, 2, -2, -3, -2, -2, -1, 1]
accuses	-1.4	1.0198	[-2, -1, -2, 1, -2, -3, -1, -2, -1, -1]
accusing	-0.7	1.34536	[-2, -1, -1, 1, -3, -1, -1, 2, -1, 0]
ache	-1.6	1.2	[-1, -2, -2, -2, -1, -4, -1, 1, -2, -2]
ached	-1.6	0.8	[-2, -2, -1, -2, -1, -2, -3, 0, -1, -2]
aches	-1.0	0.7746	[-1, -2, -1, -1, -1, 1, -2, -1, -1, -1]
achievable	1.3	0.45826	[2, 1, 1, 1, 1, 1, 1, 2, 2, 1]
aching	-2.2	0.74833	[-2, -3, -2, -1, -3, -3, -2, -3, -1, -2]
acquit	0.8	1.72047	[-3, 3, -1, 3, 2, 1, 1, 1, 0, 1]
acquits	0.1	1.37477	[1, -3, -1, 0, 2, 0, -1, 1, 1, 1]
acquitted	1.0	0.89443	[2, 2, 1, 1, 2, 0, 1, 1, -1, 1]
acquitting	1.3	0.78102	[3, 2, 0, 1, 1, 1, 2, 1, 1, 1]
acrimonious	-1.7	1.73494	[-1, -3, -2, -3, 3, -3, -1, -2, -2, -3]
active	1.7	1.26886	[1, 2, 1, 1, 1, 4, 2, 4, 0, 1]
actively	1.3	0.78102	[0, 1, 0, 2, 2, 1, 1, 2, 2, 2]
activeness	0.6	0.8	[0, 2, 0, 0, 1, 0, 1, 0, 2, 0]
activenesses	0.8	0.74833	[2, 0, 1, 0, 0, 0, 1, 2, 1, 1]
actives	1.1	0.7	[2, 1, 0, 1, 1, 0, 1, 1, 2, 2]
adequate	0.9	0.7	[0, 0, 1, 1, 0, 2, 1, 1, 2, 1]
admirability	2.4	0.4899	[2, 3, 3, 3, 3, 2, 2, 2, 2, 2]
admirable	2.6	0.66332	[2, 3, 3, 3, 4, 3, 2, 2, 2, 2]
admirableness	2.2	0.87178	[2, 2, 3, 3, 3, 1, 3, 1, 3, 1]
admirably	2.5	0.67082	[2, 3, 3, 3, 4, 2, 2, 2, 2, 2]
admiral	1.3	1.18743	[0, 0, 1, 3, 3, 2, 2, 0, 2, 0]
admirals	1.5	0.80623	[2, 2, 0, 2, 2, 0, 1, 2, 2, 2]
admiralties	1.6	0.66332	[2, 2, 2, 1, 0, 2, 2, 2, 1, 2]
admiralty	1.2	1.53623	[0, 4, 0, 0, 0, 2, 2, 3, 2, -1]
admiration	2.5	0.80623	[3, 1, 1, 3, 3, 2, 3, 3, 3, 3]
admirations	1.6	0.66332	[2, 2, 1, 1, 2, 2, 2, 2, 2, 0]
admire	2.1	0.83066	[3, 3, 1, 3, 3, 2, 1, 2, 1, 2]
admired	2.3	0.78102	[4, 2, 2, 2, 2, 2, 3, 3, 1, 2]
admirer	1.8	0.74833	[2, 1, 1, 2, 3, 2, 3, 1, 1, 2]
admirers	1.7	1.00499	[2, 3, 2, 2, 2, 1, -1, 2, 2, 2]
admires	1.5	0.67082	[3, 1, 1, 2, 1, 2, 2, 1, 1, 1]
admiring	1.6	0.8	[1, 2, 1, 1, 3, 3, 2, 1, 1, 1]
admiringly	2.3	0.64031	[1, 3, 3, 2, 2, 2, 2, 3, 3, 2]
admit	0.8	1.07703	[0, 0, 0, 0, 0, 1, 3, 2, 2, 0]
admits	1.2	0.87178	[1, 2, 2, 2, 0, 0, 1, 2, 0, 2]
admitted	0.4	0.66332	[0, 1, 0, 1, 0, 0, 2, 0, 0, 0]
admonished	-1.9	0.9434	[-2, -2, -2, -1, -2, -3, -1, -1, -1, -4]
adopt	0.7	0.64031	[0, 0, 1, 1, 1, 0, 1, 0, 1, 2]
adopts	0.7	0.64031	[0, 0, 1, 2, 1, 0, 1, 1, 0, 1]
adorability	2.2	0.74833	[2, 2, 2, 2, 1, 2, 3, 2, 4, 2]
adorable	2.2	0.6	[3, 2, 2, 3, 2, 2, 1, 3, 2, 2]
adorableness	2.5	0.67082	[2, 3, 3, 2, 3, 2, 1, 3, 3, 3]
adorably	2.1	0.7	[3, 1, 2, 3, 2, 2, 1, 3, 2, 2]
adoration	2.9	0.7	[3, 3, 3, 2, 3, 3, 4, 2, 4, 2]
adorations	2.2	0.87178	[2, 2, 3, 1, 3, 1, 3, 3, 1, 3]
adore	2.6	0.91652	[3, 3, 1, 2, 3, 3, 3, 4, 1, 3]
adored	1.8	0.87178	[2, 3, 3, 2, 2, 1, 1, 0, 2, 2]
adorer	1.7	1.1	[2, 4, 3, 1, 2, 1, 1, 0, 2, 1]
adorers	2.1	0.7	[3, 2, 1, 2, 2, 2, 3, 2, 3, 1]
adores	1.6	0.66332	[2, 1, 3, 2, 2, 1, 1, 1, 2, 1]
adoring	2.6	0.66332	[2, 3, 3, 3, 1, 3, 3, 2, 3, 3]
adoringly	2.4	0.8	[2, 3, 2, 3, 3, 3, 3, 1, 1, 3]
adorn	0.9	0.53852	[1, 1, 1, 0, 2, 1, 1, 0, 1, 1]
adorned	0.8	1.249	[1, 1, 0, 2, -1, 3, -1, 2, 1, 0]
adorner	1.3	0.78102	[1, 1, 1, 2, 1, 3, 1, 2, 1, 0]
adorners	0.9	0.9434	[2, 2, 0, 1, -1, 2, 1, 1, 0, 1]
adorning	1.0	0.7746	[0, 0, 1, 1, 1, 2, 2, 1, 0, 2]
adornment	1.3	0.78102	[1, 3, 1, 0, 2, 2, 1, 1, 1, 1]
adornments	0.8	1.16619	[2, -1, 0, 0, 2, 1, 2, -1, 1, 2]
adorns	0.5	1.56525	[3, -1, 1, 0, 2, -1, 3, -1, 0, -1]
advanced	1.0	0.63246	[1, 0, 1, 1, 1, 0, 1, 2, 1, 2]
advantage	1.0	0.63246	[1, 2, 1, 1, 2, 0, 1, 0, 1, 1]
advantaged	1.4	0.91652	[1, 0, 3, 0, 1, 1, 2, 2, 2, 2]
advantageous	1.5	0.67082	[2, 0, 2, 2, 2, 1, 1, 1, 2, 2]
advantageously	1.9	0.53852	[2, 2, 2, 3, 2, 2, 2, 1, 1, 2]
advantageousness	1.6	1.28062	[-2, 2, 3, 1, 2, 2, 2, 2, 2, 2]
advantages	1.5	0.80623	[1, 0, 3, 1, 1, 1, 2, 2, 2, 2]
advantaging	1.6	0.66332	[3, 1, 1, 2, 1, 1, 2, 2, 2, 1]
adventure	1.3	0.45826	[1, 2, 1, 1, 2, 1, 1, 1, 1, 2]
adventured	1.3	0.45826	[1, 2, 1, 2, 1, 2, 1, 1, 1, 1]
adventurer	1.2	0.6	[1, 2, 0, 2, 1, 2, 1, 1, 1, 1]
adventurers	0.9	0.9434	[0, 1, 0, 1, 0, 1, 0, 1, 3, 2]
adventures	1.4	1.2	[2, 2, 1, 2, -2, 2, 2, 1, 2, 2]
adventuresome	1.7	1.1	[0, 3, 0, 1, 2, 2, 3, 1, 2, 3]
adventuresomeness	1.3	1.00499	[1, 0, 0, 2, 3, 2, 2, 0, 1, 2]
adventuress	0.8	1.72047	[3, -1, 2, 2, 0, 0, 1, 2, -3, 2]
adventuresses	1.4	1.11355	[1, 0, 0, 3, 2, 2, 3, 0, 1, 2]
adventuring	2.3	0.78102	[2, 3, 2, 3, 1, 3, 3, 1, 2, 3]
adventurism	1.5	0.67082	[1, 0, 2, 2, 2, 2, 1, 1, 2, 2]
adventurist	1.4	0.4899	[1, 1, 2, 1, 2, 2, 2, 1, 1, 1]
adventuristic	1.7	0.64031	[2, 1, 1, 2, 2, 1, 3, 2, 2, 1]
adventurists	1.2	0.9798	[3, 1, 0, 0, 1, 2, 1, 0, 2, 2]
adventurous	1.4	1.11355	[0, 1, 2, 1, 2, 0, 3, 2, 3, 0]
adventurously	1.3	0.9	[0, 1, 2, 2, 1, 2, 1, 1, 0, 3]
adventurousness	1.8	0.87178	[0, 1, 3, 2, 1, 3, 2, 2, 2, 2]
adversarial	-1.5	0.92195	[-2, 0, -1, -3, -2, -2, 0, -1, -2, -2]
adversaries	-1.0	0.63246	[-1, -1, -1, -1, 0, -2, -2, -1, -1, 0]
adversary	-0.8	1.72047	[-3, -1, -2, -2, -2, 2, 1, -1, 2, -2]
adversative	-1.2	0.74833	[-1, -1, -2, -1, -1, -1, -3, -1, 0, -1]
adversatively	-0.1	1.37477	[0, -2, -1, 0, -1, -1, 1, 1, 3, -1]
adversatives	-1.0	0.7746	[-1, -1, -2, -1, -2, 1, -1, -1, -1, -1]
adverse	-1.5	0.80623	[-2, -2, -2, -1, -1, 0, -1, -3, -1, -2]
adversely	-0.8	1.6	[-2, -2, 0, -2, -2, 2, -2, 2, -2, 0]
adverseness	-0.6	1.35647	[-1, -2, -1, 2, -1, -2, -1, 2, -1, -1]
adversities	-1.5	0.67082	[-2, -2, -1, -1, -2, 0, -2, -1, -2, -2]
adversity	-1.8	0.6	[-3, -2, -1, -2, -2, -2, -1, -1, -2, -2]
affected	-0.6	1.35647	[-1, -2, 0, -2, 0, 0, 2, -2, 1, -2]
affection	2.4	0.8	[3, 2, 2, 3, 4, 1, 3, 2, 2, 2]
affectional	1.9	1.04403	[3, 3, 2, 0, 2, 2, 2, 3, 2, 0]
affectionally	1.5	0.92195	[1, 1, 3, 1, 1, 0, 2, 2, 3, 1]
affectionate	1.9	1.13578	[1, 0, 3, 1, 3, 2, 2, 1, 2, 4]
affectionately	2.2	0.87178	[4, 1, 1, 2, 2, 2, 3, 3, 2, 2]
affectioned	1.8	0.4	[2, 2, 1, 2, 2, 1, 2, 2, 2, 2]
affectionless	-2.0	0.44721	[-2, -1, -2, -2, -2, -2, -2, -2, -2, -3]
affections	1.5	1.11803	[-1, 3, 2, 2, 1, 1, 2, 1, 3, 1]
afflicted	-1.5	1.0247	[-1, -2, -3, -2, 1, -1, -1, -2, -2, -2]
affronted	0.2	2.03961	[1, -2, 2, -2, -2, 4, 0, 2, 1, -2]
aggravate	-2.5	0.80623	[-3, -3, -2, -3, -2, -4, -3, -2, -2, -1]
aggravated	-1.9	1.04403	[-4, -3, -3, -1, -1, -1, -1, -2, -2, -1]
aggravates	-1.9	0.83066	[-3, -2, -2, -2, -3, -1, -2, -2, 0, -2]
aggravating	-1.2	0.9798	[-2, -2, -1, -2, -2, -1, 0, 1, -1, -2]
aggress	-1.3	1.55242	[-2, -2, 2, -2, -1, -3, -3, -1, 1, -2]
aggressed	-1.4	0.4899	[-1, -1, -1, -1, -2, -1, -2, -2, -2, -1]
aggresses	-0.5	1.43178	[-1, -2, -1, -1, -3, 0, -1, 1, 2, 1]
aggressing	-0.6	1.28062	[-1, -2, -1, 0, -1, -2, 2, -2, 1, 0]
aggression	-1.2	1.77764	[-2, -2, 1, 1, -4, 2, -2, -2, -2, -2]
aggressions	-1.3	1.48661	[-1, -2, -2, -2, -2, -3, 1, -2, 2, -2]
aggressive	-0.6	1.28062	[-2, 1, -2, -2, 0, -2, -1, 1, 1, 0]
aggressively	-1.3	1.55242	[-1, -2, 3, -2, -3, -2, -1, -1, -2, -2]
aggressiveness	-1.8	0.74833	[-1, -2, -1, -2, -2, -1, -3, -1, -3, -2]
aggressivities	-1.4	1.28062	[-1, -1, -1, -2, 2, -2, -2, -2, -3, -2]
aggressivity	-0.6	1.35647	[-3, -1, 1, 0, 0, 0, -3, -1, 1, 0]
aggressor	-0.8	1.32665	[-2, 0, -1, 2, -2, -2, -1, -1, -2, 1]
aggressors	-0.9	1.13578	[-2, -2, -1, -1, -1, 1, 1, 0, -2, -2]
aghast	-1.9	1.04403	[-2, -3, -1, 0, -2, -1, -4, -2, -2, -2]
agitate	-1.7	0.64031	[-2, -2, -3, -1, -1, -1, -2, -1, -2, -2]
agitated	-2.0	0.63246	[-2, -2, -2, -2, -1, -3, -3, -2, -2, -1]
agitatedly	-1.6	0.8	[-1, -2, -1, -3, -1, -3, -1, -1, -2, -1]
agitates	-1.4	0.8	[-2, 0, -1, -2, -1, -1, -3, -1, -2, -1]
agitating	-1.8	0.87178	[-2, -1, -1, -1, -2, -3, -1, -3, -3, -1]
agitation	-1.0	1.09545	[-2, -1, 1, -1, -2, -1, -2, -1, 1, -2]
agitational	-1.2	1.66132	[-3, -3, -2, 1, -1, -2, 0, 2, -1, -3]
agitations	-1.3	1.18743	[-1, -2, -1, -3, -2, -3, 0, -1, 1, -1]
agitative	-1.3	1.26886	[-2, -2, -1, -2, -1, -3, 1, -2, 1, -2]
agitato	-0.1	1.13578	[1, 2, 0, 0, 0, 0, -2, 0, -2, 0]
agitator	-1.4	0.8	[-1, -1, -1, -2, -1, -1, -2, -3, -2, 0]
agitators	-2.1	0.9434	[-2, -3, -3, -2, -2, -1, -3, -2, 0, -3]
agog	1.9	0.7	[2, 1, 3, 3, 2, 1, 2, 2, 1, 2]
agonise	-2.1	0.9434	[-3, -3, -2, -3, -1, -3, -1, -3, -1, -1]
agonised	-2.3	0.64031	[-2, -3, -3, -2, -2, -2, -2, -3, -1, -3]
agonises	-2.4	0.91652	[-1, -4, -3, -3, -2, -2, -2, -3, -1, -3]
agonising	-1.5	1.43178	[-3, -2, -3, -3, -1, 1, 0, 0, -1, -3]
agonize	-2.3	0.9	[-2, -3, -1, -2, -2, -2, -4, -1, -3, -3]
agonized	-2.2	1.249	[-2, -3, -3, -3, -3, -2, -1, -3, 1, -3]
agonizes	-2.3	1.18743	[-1, -3, -4, -3, -3, -2, -1, -3, 0, -3]
agonizing	-2.7	0.78102	[-3, -2, -2, -2, -4, -3, -3, -2, -4, -2]
agonizingly	-2.3	1.48661	[-3, -1, -3, -4, -4, -2, -3, 1, -1, -3]
agony	-1.8	1.16619	[-3, -1, -2, -4, -2, -1, 0, -3, -1, -1]
agree	1.5	1.11803	[1, 0, 3, 1, 2, 1, 4, 1, 1, 1]
agreeability	1.9	1.04403	[1, 1, 1, 3, 3, 2, 1, 2, 4, 1]
agreeable	1.8	0.4	[2, 1, 2, 1, 2, 2, 2, 2, 2, 2]
agreeableness	1.8	0.9798	[2, 3, 2, 1, 1, 1, 4, 1, 2, 1]
agreeablenesses	1.3	0.45826	[2, 1, 1, 2, 1, 2, 1, 1, 1, 1]
agreeably	1.6	0.4899	[1, 1, 2, 1, 1, 2, 2, 2, 2, 2]
agreed	1.1	0.53852	[1, 1, 2, 1, 1, 2, 1, 0, 1, 1]
agreeing	1.4	0.4899	[1, 1, 1, 1, 2, 1, 1, 2, 2, 2]
agreement	2.2	0.74833	[2, 1, 1, 3, 3, 3, 2, 2, 2, 3]
agreements	1.1	1.13578	[0, 1, 0, 1, 1, 2, 1, 0, 4, 1]
agrees	0.8	1.4	[1, 1, 1, 1, 3, 1, -3, 1, 1, 1]
alarm	-1.4	0.91652	[-1, -1, -2, -2, -2, -2, -1, 1, -2, -2]
alarmed	-1.4	0.4899	[-2, -1, -2, -2, -1, -1, -1, -2, -1, -1]
alarming	-0.5	1.62788	[-1, 1, -1, 1, -3, 1, -2, -3, 1, 1]
alarmingly	-2.6	0.91652	[-3, -3, -4, -3, -2, -1, -3, -3, -1, -3]
alarmism	-0.3	1.26886	[-2, 0, -2, -1, 0, 1, 1, -1, 2, -1]
alarmists	-1.1	1.3	[-1, -2, -3, -2, -1, -2, 1, 1, 0, -2]
alarms	-1.1	1.04403	[-2, 0, -2, -1, 0, 0, 0, -1, -2, -3]
alas	-1.1	1.22066	[-1, -2, -1, 0, -1, 0, 1, -3, -1, -3]
alert	1.2	0.87178	[1, 2, 0, 1, 0, 2, 2, 0, 2, 2]
alienation	-1.1	1.51327	[-3, -2, -3, -1, -2, -1, 2, -1, 1, -1]
alive	1.6	0.8	[1, 1, 2, 3, 3, 2, 1, 1, 1, 1]
allergic	-1.2	0.4	[-1, -2, -1, -2, -1, -1, -1, -1, -1, -1]
allow	0.9	0.83066	[0, 0, 0, 1, 2, 2, 1, 1, 2, 0]
alone	-1.0	0.63246	[-2, -1, -1, -1, -2, -1, 0, -1, -1, 0]
alright	1.0	0.7746	[0, 1, 0, 3, 1, 1, 1, 1, 1, 1]
amaze	2.5	1.0247	[3, 2, 3, 4, 2, 3, 1, 4, 2, 1]
amazed	2.2	1.07703	[1, 0, 3, 2, 2, 4, 3, 3, 2, 2]
amazedly	2.1	0.53852	[2, 2, 2, 2, 3, 2, 2, 3, 1, 2]
amazement	2.5	0.80623	[3, 3, 2, 4, 1, 2, 2, 3, 2, 3]
amazements	2.2	0.87178	[3, 1, 1, 3, 3, 2, 1, 2, 3, 3]
amazes	2.2	0.9798	[1, 0, 3, 2, 2, 3, 3, 3, 2, 3]
amazing	2.8	0.87178	[1, 4, 3, 2, 4, 2, 3, 3, 3, 3]
amazon	0.7	0.64031	[0, 1, 1, 0, 1, 0, 1, 0, 1, 2]
amazonite	0.2	0.6	[0, 0, 2, 0, 0, 0, 0, 0, 0, 0]
amazons	-0.1	0.3	[0, 0, 0, 0, 0, 0, 0, 0, -1, 0]
amazonstone	1.0	1.61245	[0, 0, 0, 0, 4, 4, 2, 0, 0, 0]
amazonstones	0.2	0.6	[0, 0, 0, 0, 0, 0, 0, 0, 2, 0]
ambitious	2.1	0.53852	[2, 3, 2, 2, 2, 2, 2, 2, 3, 1]
ambivalent	0.5	0.92195	[0, 0, -1, 2, 1, 1, 1, -1, 1, 1]
amor	3.0	0.63246	[3, 3, 2, 4, 3, 2, 4, 3, 3, 3]
amoral	-1.6	0.66332	[-1, -2, 0, -2, -2, -2, -2, -2, -1, -2]
amoralism	-0.7	1.34536	[-2, -1, -2, 0, 0, -3, 2, 0, -1, 0]
amoralisms	-0.7	1.00499	[-2, 0, 1, -1, -2, -1, -1, 1, -1, -1]
amoralities	-1.2	1.6	[-3, 0, 0, -2, 1, -1, 0, -4, -3, 0]
amorality	-1.5	0.92195	[0, -1, -1, -2, -1, -3, -1, -3, -2, -1]
amorally	-1.0	1.61245	[-2, 0, 1, -4, -1, 1, 1, -2, -2, -2]
amoretti	0.2	0.4	[0, 0, 0, 1, 0, 0, 0, 0, 0, 1]
amoretto	0.6	0.8	[0, 1, 0, 1, 0, 0, 2, 0, 0, 2]
amorettos	0.3	0.64031	[0, 1, 0, 1, 0, 0, 0, 1, 1, -1]
amorino	1.2	0.87178	[2, 1, 1, 0, 3, 1, 1, 0, 1, 2]
amorist	1.6	1.0198	[3, 0, 0, 2, 2, 1, 3, 1, 2, 2]
amoristic	1.0	1.67332	[1, 0, 2, 3, -1, 3, 1, 3, 0, -2]
amorists	0.1	0.9434	[0, 2, 0, 0, 1, 0, -2, 0, 0, 0]
amoroso	2.3	0.78102	[3, 1, 1, 2, 3, 3, 3, 3, 2, 2]
amorous	1.8	0.9798	[3, 1, 2, 2, 1, 1, 3, 0, 2, 3]
amorously	2.3	0.78102	[1, 1, 3, 2, 3, 3, 2, 3, 2, 3]
amorousness	2.0	0.89443	[2, 3, 1, 2, 0, 2, 2, 3, 3, 2]
amorphous	-0.2	0.4	[0, 0, 0, 0, 0, 0, -1, 0, 0, -1]
amorphously	0.1	0.7	[-1, 0, 0, 0, 0, 0, 2, 0, 0, 0]
amorphousness	0.3	0.45826	[0, 0, 0, 0, 0, 1, 1, 1, 0, 0]
amort	-2.1	0.83066	[-3, -1, -2, -2, -2, -2, -2, -4, -1, -2]
amortise	0.5	1.43178	[0, 1, 1, 0, -3, 2, 0, 0, 2, 2]
amortised	-0.2	1.16619	[-1, -3, 0, 0, 0, 2, 0, 0, 0, 0]
amortises	0.1	0.83066	[-1, -1, 0, 0, 0, 2, 1, 0, 0, 0]
amortizable	0.5	1.0247	[2, 0, 1, 0, 1, 1, -2, 1, 0, 1]
amortization	0.6	1.0198	[0, 0, 0, 0, 1, 0, 0, 0, 3, 2]
amortizations	0.2	1.07703	[-1, 1, 0, 0, 1, 0, 2, 1, -2, 0]
amortize	-0.1	1.04403	[0, 0, 0, 0, 2, -2, -1, 1, -1, 0]
amortized	0.8	0.74833	[0, 2, 0, 0, 1, 1, 1, 0, 1, 2]
amortizes	0.6	0.8	[0, 2, 0, 0, 1, 1, 0, 0, 0, 2]
amortizing	0.8	1.249	[0, 3, 0, 0, 0, 0, 0, 0, 3, 2]
amusable	0.7	1.18743	[2, 1, 1, 1, 1, 1, 2, -2, -1, 1]
amuse	1.7	0.78102	[1, 2, 1, 1, 2, 1, 1, 3, 3, 2]
amused	1.8	0.6	[1, 2, 2, 2, 2, 2, 1, 2, 3, 1]
amusedly	2.2	0.74833	[3, 3, 2, 2, 3, 2, 2, 3, 1, 1]
amusement	1.5	1.11803	[3, 2, 3, 1, 2, 2, -1, 1, 1, 1]
amusements	1.5	1.0247	[2, 1, 2, 1, 2, 2, 3, -1, 2, 1]
amuser	1.1	1.7	[2, 1, -3, 2, 2, 3, -1, 1, 2, 2]
amusers	1.3	0.45826	[1, 1, 2, 1, 2, 1, 2, 1, 1, 1]
amuses	1.7	0.64031	[1, 2, 1, 2, 2, 2, 1, 2, 3, 1]
amusia	0.3	1.48661	[0, -1, 1, -1, 2, 2, -1, -1, -1, 3]
amusias	-0.4	0.66332	[-1, 0, 0, 1, 0, 0, -1, -1, -1, -1]
amusing	1.6	0.91652	[2, 2, 2, -1, 2, 2, 1, 2, 2, 2]
amusingly	0.8	1.249	[1, 2, 1, 1, 1, 2, 2, -2, -1, 1]
amusingness	1.8	0.6	[1, 2, 3, 2, 1, 2, 2, 1, 2, 2]
amusive	1.7	1.1	[3, 1, 3, 1, 2, 2, 2, 2, -1, 2]
anger	-2.7	1.18743	[-1, -2, -3, -2, -4, -4, -2, -1, -4, -4]
angered	-2.3	0.78102	[-2, -3, -2, -4, -2, -2, -3, -2, -2, -1]
angering	-2.2	0.6	[-3, -2, -1, -3, -2, -2, -3, -2, -2, -2]
angerly	-1.9	0.53852	[-2, -2, -1, -1, -3, -2, -2, -2, -2, -2]
angers	-2.3	0.9	[-3, -1, -2, -3, -2, -2, -4, -1, -3, -2]
angrier	-2.3	0.64031	[-2, -3, -2, -3, -1, -3, -2, -3, -2, -2]
angriest	-3.1	0.83066	[-4, -3, -2, -2, -2, -4, -3, -4, -4, -3]
angrily	-1.8	0.4	[-2, -1, -2, -2, -2, -1, -2, -2, -2, -2]
angriness	-1.7	0.64031	[-2, 0, -2, -2, -1, -2, -2, -2, -2, -2]
angry	-2.3	0.9	[-2, -2, -1, -3, -1, -2, -4, -2, -3, -3]
anguish	-2.9	0.83066	[-3, -3, -2, -3, -4, -1, -3, -3, -4, -3]
anguished	-1.8	1.4	[-3, -4, -1, -3, -2, -1, -1, 1, -1, -3]
anguishes	-2.1	1.44568	[-4, -4, -2, -3, 1, -2, -1, -1, -2, -3]
anguishing	-2.7	0.9	[-2, -2, -1, -3, -2, -4, -4, -3, -3, -3]
animosity	-1.9	1.75784	[-2, -3, -3, -3, -2, 2, 1, -3, -3, -3]
annoy	-1.9	0.53852	[-2, -2, -1, -2, -2, -1, -2, -2, -2, -3]
annoyance	-1.3	1.55242	[-2, -3, -2, -2, -1, 1, -3, -2, 2, -1]
annoyances	-1.8	0.6	[-2, -2, -2, -1, -1, -2, -3, -1, -2, -2]
annoyed	-1.6	1.11355	[-3, -1, 1, -3, -1, -1, -2, -2, -2, -2]
annoyer	-2.2	0.87178	[-3, -2, -1, -3, -2, -4, -2, -1, -2, -2]
annoyers	-1.5	1.0247	[-2, -1, -2, -3, -2, -1, -1, -2, 1, -2]
annoying	-1.7	0.64031	[-1, -2, -1, -2, -1, -1, -2, -2, -3, -2]
annoys	-1.8	0.6	[-1, -2, -3, -2, -2, -2, -1, -2, -1, -2]
antagonism	-1.9	1.04403	[-1, -1, -3, -2, -4, -2, -2, 0, -2, -2]
antagonisms	-1.2	1.53623	[0, -2, -2, -2, -2, -2, 3, -2, -1, -2]
antagonist	-1.9	0.7	[-3, -1, -2, -3, -2, -2, -1, -2, -2, -1]
antagonistic	-1.7	0.9	[-2, -2, -2, 1, -2, -2, -2, -2, -2, -2]
antagonistically	-2.2	0.87178	[-2, -3, -4, -2, -2, -3, -2, -2, -1, -1]
antagonists	-1.7	0.64031	[-2, -1, -1, -2, -1, -2, -2, -3, -1, -2]
antagonize	-2.0	0.44721	[-2, -2, -2, -3, -2, -1, -2, -2, -2, -2]
antagonized	-1.4	0.66332	[-2, -1, -2, -2, -1, 0, -2, -1, -1, -2]
antagonizes	-0.5	1.9105	[-2, 4, -2, -2, 1, 0, -2, 1, -1, -2]
antagonizing	-2.7	0.64031	[-4, -2, -2, -3, -2, -3, -3, -2, -3, -3]
anti	-1.3	0.78102	[0, -2, -3, -1, -1, -2, -1, -1, -1, -1]
anticipation	0.4	1.28062	[1, 1, -1, 0, -1, 1, 1, 2, -2, 2]
anxieties	-0.6	1.85472	[-2, -3, -3, -2, -1, 2, -1, 1, 1, 2]
anxiety	-0.7	2.1	[-2, -2, -2, -3, 3, -1, -3, 2, 2, -1]
anxious	-1.0	0.44721	[-1, -2, -1, -1, 0, -1, -1, -1, -1, -1]
anxiously	-0.9	0.83066	[-1, -1, -2, -1, -1, -1, -1, 0, 1, -2]
anxiousness	-1.0	1.48324	[-2, -1, -1, -1, -1, -2, 3, -3, -1, -1]
aok	2.0	0.89443	[2, 3, 2, 1, 2, 1, 1, 4, 2, 2]
apathetic	-1.2	0.87178	[-1, -1, 0, -2, -2, -1, -1, 0, -3, -1]
apathetically	-0.4	1.28062	[-1, -1, 0, -1, -2, 2, -1, -1, 2, -1]
apathies	-0.6	1.0198	[-1, -1, -1, -2, 0, 1, -1, -2, 1, 0]
apathy	-1.2	1.32665	[-2, -2, -1, 1, -1, -3, -1, 1, -1, -3]
apeshit	-0.9	2.21133	[-4, -3, 2, -3, -2, -3, 1, 0, 2, 1]
apocalyptic	-3.4	0.66332	[-4, -2, -3, -4, -3, -4, -4, -3, -3, -4]
apologise	1.6	0.66332	[2, 3, 2, 2, 1, 1, 2, 1, 1, 1]
apologised	0.4	0.91652	[-1, 0, 2, 0, 0, 1, 0, 2, 0, 0]
apologises	0.8	1.07703	[2, 0, 2, 0, 0, 1, 0, 3, 0, 0]
apologising	0.2	1.6	[0, -1, -1, 2, 2, 1, -2, -1, 3, -1]
apologize	0.4	0.8	[1, -1, 0, 1, 1, 1, -1, 1, 0, 1]
apologized	1.3	0.64031	[1, 1, 1, 2, 0, 2, 1, 2, 2, 1]
apologizes	1.5	0.80623	[2, 1, 1, 2, 0, 2, 1, 2, 3, 1]
apologizing	-0.3	1.34536	[1, 2, -1, 1, -1, 0, -3, 0, -1, -1]
apology	0.2	1.249	[1, 1, 1, 1, -1, 1, -1, -1, -2, 2]
appall	-2.4	0.66332	[-3, -2, -2, -3, -2, -3, -1, -3, -2, -3]
appalled	-2.0	0.63246	[-3, -2, -3, -2, -2, -1, -1, -2, -2, -2]
appalling	-1.5	1.5	[-2, -4, 1, -1, 1, -1, -2, -3, -2, -2]
appallingly	-2.0	1.67332	[-3, -2, 0, -2, 2, -3, -4, -3, -2, -3]
appalls	-1.9	1.37477	[0, -3, -2, -3, -3, -2, -1, -3, 1, -3]
appease	1.1	0.9434	[1, 1, 1, -1, 2, 0, 1, 2, 2, 2]
appeased	0.9	0.53852	[0, 1, 1, 1, 1, 1, 0, 1, 2, 1]
appeases	0.9	0.53852	[0, 1, 1, 1, 1, 1, 0, 1, 2, 1]
appeasing	1.0	1.09545	[1, 2, -1, 1, 2, 1, 2, 2, 1, -1]
applaud	2.0	0.63246	[3, 2, 2, 2, 1, 2, 3, 1, 2, 2]
applauded	1.5	0.5	[2, 2, 1, 2, 2, 2, 1, 1, 1, 1]
applauding	2.1	0.83066	[2, 2, 4, 1, 2, 2, 2, 1, 2, 3]
applauds	1.4	0.66332	[1, 1, 2, 1, 3, 1, 1, 1, 2, 1]
applause	1.8	0.6	[2, 1, 1, 2, 3, 2, 1, 2, 2, 2]
appreciate	1.7	0.78102	[2, 1, 2, 1, 1, 3, 1, 2, 3, 1]
appreciated	2.3	0.78102	[2, 1, 3, 2, 3, 4, 2, 2, 2, 2]
appreciates	2.3	0.9	[3, 1, 3, 1, 2, 4, 2, 3, 2, 2]
appreciating	1.9	0.7	[1, 1, 2, 2, 2, 2, 1, 3, 2, 3]
appreciation	2.3	0.9	[3, 3, 2, 1, 1, 3, 3, 1, 3, 3]
appreciations	1.7	0.78102	[3, 2, 1, 2, 2, 1, 3, 1, 1, 1]
appreciative	2.6	0.8	[3, 3, 3, 2, 1, 3, 4, 2, 2, 3]
appreciatively	1.8	0.6	[2, 2, 2, 2, 2, 1, 3, 2, 1, 1]
appreciativeness	1.6	0.8	[2, 1, 1, 2, 1, 1, 3, 3, 1, 1]
appreciator	2.6	0.8	[2, 3, 2, 3, 3, 2, 1, 3, 4, 3]
appreciators	1.5	0.80623	[1, 3, 1, 3, 1, 1, 2, 1, 1, 1]
appreciatory	1.7	0.78102	[1, 2, 1, 3, 1, 3, 2, 2, 1, 1]
apprehensible	1.1	1.04403	[2, 0, -1, 3, 1, 2, 1, 1, 1, 1]
apprehensibly	-0.2	1.16619	[0, 0, -1, 2, -1, 2, -1, -1, -1, -1]
apprehension	-2.1	0.83066	[-1, -2, -2, -1, -2, -3, -3, -3, -1, -3]
apprehensions	-0.9	1.04403	[-1, -1, -1, -1, -2, -2, -1, -1, -1, 2]
apprehensively	-0.3	1.18743	[-1, -1, -1, 0, 1, -2, -1, 1, -1, 2]
apprehensiveness	-0.7	0.9	[-1, 1, -1, -1, 1, -1, -2, -1, -1, -1]
approval	2.1	0.53852	[2, 2, 2, 2, 2, 1, 3, 3, 2, 2]
approved	1.8	0.6	[1, 1, 1, 2, 3, 2, 2, 2, 2, 2]
approves	1.7	0.64031	[1, 1, 1, 2, 3, 2, 2, 2, 2, 1]
ardent	2.1	0.7	[3, 3, 2, 2, 3, 1, 2, 2, 1, 2]
arguable	-1.0	0.63246	[-1, -1, -2, -1, -1, -2, 0, 0, -1, -1]
arguably	-1.0	1.09545	[0, -2, 0, -2, 0, 1, -1, -2, -2, -2]
argue	-1.4	0.66332	[-1, -2, -1, -3, -2, -1, -1, -1, -1, -1]
argued	-1.5	0.5	[-2, -2, -1, -1, -1, -1, -2, -2, -2, -1]
arguer	-1.6	0.4899	[-2, -2, -1, -2, -1, -1, -2, -2, -2, -1]
arguers	-1.4	0.4899	[-2, -1, -1, -2, -1, -1, -2, -2, -1, -1]
argues	-1.6	0.4899	[-2, -2, -1, -2, -1, -1, -2, -2, -2, -1]
arguing	-2.0	0.63246	[-3, -3, -1, -1, -2, -2, -2, -2, -2, -2]
argument	-1.5	0.80623	[-3, -1, -1, -1, -1, -2, 0, -2, -2, -2]
argumentative	-1.5	0.67082	[-3, -2, -1, -1, -1, -1, -1, -2, -2, -1]
argumentatively	-1.8	0.9798	[-4, -2, -1, -1, -3, -1, -2, -2, -1, -1]
argumentive	-1.5	0.80623	[-3, -2, -2, -1, 0, -1, -1, -1, -2, -2]
arguments	-1.7	0.64031	[-1, -1, -2, -2, -2, -3, -2, -1, -1, -2]
arrest	-1.4	1.42829	[-1, 0, -1, 0, -2, -3, 0, -4, -3, 0]
arrested	-2.1	1.04403	[-2, -2, -2, -1, -1, -4, -1, -4, -2, -2]
arrests	-1.9	0.83066	[-4, -2, -1, -1, -1, -2, -2, -2, -2, -2]
arrogance	-2.4	0.66332	[-3, -2, -2, -3, -1, -2, -3, -3, -2, -3]
arrogances	-1.9	0.53852	[-1, -2, -3, -2, -2, -2, -2, -1, -2, -2]
arrogant	-2.2	0.6	[-2, -2, -2, -3, -2, -3, -3, -2, -1, -2]
arrogantly	-1.8	1.4	[-3, -2, 2, -3, -1, -3, -2, -2, -2, -2]
ashamed	-2.1	1.3	[-3, -3, -3, -2, -2, 1, -2, -4, -1, -2]
ashamedly	-1.7	0.64031	[-2, -2, -2, -1, -2, -3, -1, -2, -1, -1]
ass	-2.5	1.43178	[-4, -1, -2, -1, -3, 0, -2, -4, -4, -4]
assassination	-2.9	0.9434	[-2, -4, -4, -3, -3, -4, -2, -3, -3, -1]
assassinations	-2.7	1.34536	[-4, -2, -3, -2, -3, -1, -4, -4, 0, -4]
assault	-2.8	0.9798	[-3, -4, -2, -2, -4, -3, -1, -3, -2, -4]
assaulted	-2.4	1.28062	[-3, -3, 1, -3, -3, -3, -1, -3, -3, -3]
assaulting	-2.3	1.1	[-4, -3, -2, -1, -2, -1, -1, -4, -3, -2]
assaultive	-2.8	0.87178	[-3, -4, -2, -4, -3, -2, -3, -1, -3, -3]
assaults	-2.5	0.92195	[-1, -3, -3, -3, -4, -3, -1, -2, -2, -3]
asset	1.5	0.80623	[2, 1, 1, 3, 2, 0, 2, 2, 1, 1]
assets	0.7	1.00499	[0, 0, 1, 3, 0, 1, 0, 0, 2, 0]
assfucking	-2.5	1.43178	[-3, -3, 0, -3, 0, -2, -4, -4, -4, -2]
assholes	-2.8	0.74833	[-3, -3, -3, -3, -4, -3, -2, -3, -1, -3]
assurance	1.4	0.4899	[1, 1, 2, 2, 1, 1, 1, 2, 2, 1]
assurances	1.4	0.4899	[2, 2, 1, 1, 1, 2, 2, 1, 1, 1]
assure	1.4	0.4899	[1, 1, 1, 1, 2, 1, 1, 2, 2, 2]
assured	1.5	0.67082	[1, 1, 2, 1, 1, 3, 2, 1, 2, 1]
assuredly	1.6	0.66332	[1, 1, 1, 3, 2, 2, 2, 1, 2, 1]
assuredness	1.4	0.8	[2, 2, 2, 1, 1, 0, 2, 0, 2, 2]
assurer	0.9	1.13578	[2, 1, 0, 1, -2, 2, 2, 1, 1, 1]
assurers	1.1	0.9434	[2, 0, 0, 1, 3, 2, 0, 1, 1, 1]
assures	1.3	0.45826	[2, 1, 1, 1, 2, 1, 2, 1, 1, 1]
assurgent	1.3	0.9	[2, 1, 0, 0, 1, 2, 1, 2, 3, 1]
assuring	1.6	0.66332	[1, 2, 2, 3, 1, 1, 1, 1, 2, 2]
assuror	0.5	0.67082	[0, 1, 0, 1, 2, 0, 0, 1, 0, 0]
assurors	0.7	1.34536	[2, -1, 0, 2, 0, -2, 2, 1, 1, 2]
astonished	1.6	0.8	[3, 1, 0, 2, 2, 1, 2, 2, 1, 2]
astound	1.7	1.26886	[2, 2, 2, 2, 0, 3, 4, 0, 0, 2]
astounded	1.8	0.9798	[1, 3, 0, 1, 2, 2, 3, 2, 1, 3]
astounding	1.8	1.4	[3, 4, 2, 0, 1, 2, -1, 3, 2, 2]
astoundingly	2.1	1.44568	[3, 0, 4, 1, 4, 3, 1, 3, 0, 2]
astounds	2.1	1.22066	[3, 3, 1, 0, 3, 2, 3, 3, 0, 3]
attachment	1.2	0.9798	[2, 0, 1, 2, 3, 1, 1, 2, 0, 0]
attachments	1.1	0.7	[1, 1, 2, 0, 2, 1, 2, 0, 1, 1]
attack	-2.1	0.83066	[-1, -3, -2, -3, -3, -1, -2, -1, -2, -3]
attacked	-2.0	1.78885	[-2, 3, -2, -2, -3, -3, -3, -4, -2, -2]
attacker	-2.7	0.9	[-2, -3, -2, -1, -3, -3, -4, -4, -2, -3]
attackers	-2.7	0.64031	[-3, -3, -3, -2, -3, -3, -4, -2, -2, -2]
attacking	-2.0	0.89443	[-3, -1, -1, -3, -3, -1, -3, -1, -2, -2]
attacks	-1.9	0.9434	[-2, -2, 0, -2, -2, -2, -1, -4, -2, -2]
attract	1.5	0.92195	[1, 3, 1, 1, 3, 1, 1, 2, 0, 2]
attractancy	0.9	0.7	[1, 0, 2, 1, 0, 2, 1, 1, 0, 1]
attractant	1.3	0.9	[0, 1, 0, 1, 1, 2, 3, 2, 1, 2]
attractants	1.4	0.8	[1, 1, 0, 2, 2, 2, 3, 1, 1, 1]
attracted	1.8	0.6	[1, 3, 1, 2, 2, 2, 2, 2, 2, 1]
attracting	2.1	0.83066	[3, 1, 2, 2, 3, 1, 1, 3, 2, 3]
attraction	2.0	0.7746	[2, 2, 1, 1, 2, 3, 3, 2, 3, 1]
attractions	1.8	0.87178	[1, 3, 0, 2, 2, 2, 2, 3, 1, 2]
attractive	1.9	0.53852	[2, 2, 2, 1, 3, 2, 1, 2, 2, 2]
attractively	2.2	0.6	[3, 2, 2, 3, 2, 2, 2, 3, 1, 2]
attractiveness	1.8	1.16619	[3, 2, 2, 1, 4, 2, 0, 0, 2, 2]
attractivenesses	2.1	0.7	[2, 1, 2, 3, 2, 3, 3, 1, 2, 2]
attractor	1.2	1.16619	[1, 1, 2, 2, 2, -2, 2, 1, 2, 1]
attractors	1.2	0.87178	[1, 1, 2, 2, 0, 1, 3, 1, 0, 1]
attracts	1.7	1.00499	[2, 1, 2, 0, 2, 4, 2, 1, 1, 2]
audacious	0.9	2.02237	[3, -1, -2, 2, 1, 2, -3, 2, 2, 3]
authority	0.3	0.64031	[0, 0, 0, 1, 0, 0, 2, 0, 0, 0]
aversion	-1.9	1.04403	[-3, -3, -1, -2, 0, -3, -1, -2, -1, -3]
aversions	-1.1	1.13578	[-2, -1, -2, -2, -2, 1, -1, -2, 1, -1]
aversive	-1.6	0.66332	[-2, -1, -1, -1, -2, -2, -1, -2, -3, -1]
aversively	-0.8	1.53623	[-3, -1, -2, -1, 1, -2, 2, -2, 1, -1]
avert	-0.7	0.78102	[-1, 0, -2, -1, -1, 1, -1, 0, -1, -1]
averted	-0.3	1.00499	[-1, 1, 0, 0, 1, 0, -2, 0, 0, -2]
averts	-0.4	1.0198	[-2, -2, -1, -1, 0, 0, 1, 0, 1, 0]
avid	1.2	0.87178	[-1, 2, 2, 1, 1, 1, 2, 2, 1, 1]
avoid	-1.2	0.6	[-1, -1, -1, -1, -2, -2, -1, -2, 0, -1]
avoidance	-1.7	0.45826	[-2, -2, -1, -1, -1, -2, -2, -2, -2, -2]
avoidances	-1.1	0.53852	[-1, -1, -1, -1, -2, 0, -1, -2, -1, -1]
avoided	-1.4	0.4899	[-2, -1, -2, -1, -1, -1, -2, -1, -2, -1]
avoider	-1.8	0.6	[-2, -1, -3, -1, -2, -2, -2, -1, -2, -2]
avoiders	-1.4	0.66332	[-2, -2, -1, -2, -1, -1, 0, -1, -2, -2]
avoiding	-1.4	0.91652	[-2, 1, -2, -2, -1, -2, -1, -1, -2, -2]
avoids	-0.7	0.45826	[-1, -1, -1, -1, -1, -1, 0, 0, 0, -1]
await	0.4	0.4899	[0, 0, 0, 1, 0, 1, 0, 1, 1, 0]
awaited	-0.1	0.83066	[1, 0, 0, 0, 1, -1, 0, 0, -2, 0]
awaits	0.3	0.78102	[0, 0, 0, 1, 2, 1, 0, 0, -1, 0]
award	2.5	0.92195	[2, 1, 1, 3, 3, 2, 4, 3, 3, 3]
awardable	2.4	0.8	[3, 3, 3, 1, 3, 1, 2, 3, 2, 3]
awarded	1.7	0.78102	[2, 0, 1, 3, 2, 2, 2, 1, 2, 2]
awardee	1.8	0.6	[2, 2, 1, 3, 2, 2, 1, 1, 2, 2]
awardees	1.2	0.74833	[1, 1, 1, 1, 0, 1, 1, 1, 3, 2]
awarder	0.9	1.04403	[2, 0, 1, 3, 0, 2, 1, 0, 0, 0]
awarders	1.3	1.18743	[2, 1, 0, 2, 2, 0, 0, 4, 1, 1]
awarding	1.9	0.7	[3, 2, 1, 2, 1, 2, 3, 1, 2, 2]
awards	2.0	0.44721	[2, 2, 2, 2, 1, 2, 2, 3, 2, 2]
awesome	3.1	0.83066	[3, 4, 2, 3, 2, 2, 4, 4, 4, 3]
awful	-2.0	2.04939	[-2, -2, -3, -3, -2, -3, 4, -3, -3, -3]
awkward	-0.6	1.56205	[-2, -1, -1, -1, -1, -1, -1, -1, 4, -1]
awkwardly	-1.3	0.45826	[-1, -1, -2, -1, -1, -1, -1, -2, -2, -1]
awkwardness	-0.7	1.41774	[-1, -2, -2, -1, -2, 2, -1, -1, 2, -1]
axe	-0.4	0.8	[-2, 0, 0, 0, 0, 0, -1, -1, -1, 1]
axed	-1.3	0.78102	[-1, -2, 0, -3, -1, -2, -1, -1, -1, -1]
backed	0.1	0.3	[0, 0, 1, 0, 0, 0, 0, 0, 0, 0]
backing	0.1	0.83066	[1, 1, -1, 0, 0, 0, -1, 1, -1, 1]
backs	-0.2	0.4	[0, 0, -1, 0, 0, 0, 0, -1, 0, 0]
bad	-2.5	0.67082	[-3, -2, -4, -3, -2, -2, -3, -2, -2, -2]
badass	1.4	1.26491	[1, 3, 2, 0, -1, 1, 3, 2, 1, 2]
badly	-2.1	0.7	[-2, -3, -2, -1, -3, -2, -3, -2, -1, -2]
bailout	-0.4	1.35647	[-1, 0, 0, 2, -2, -1, -2, 2, -1, -1]
bamboozle	-1.5	1.0247	[-3, -2, -2, -1, -2, -2, 1, -1, -1, -2]
bamboozled	-1.5	1.11803	[-1, 0, -2, -4, -2, -1, -2, -1, 0, -2]
bamboozles	-1.5	1.0247	[-1, 0, -2, -4, -2, -1, -2, -1, -1, -1]
ban	-2.6	1.0198	[-4, -3, -4, -3, -2, -1, -3, -2, -1, -3]
banish	-1.9	0.9434	[-2, -2, -2, -2, -1, -3, -1, -1, -1, -4]
bankrupt	-2.6	1.0198	[-4, -4, -2, -2, -4, -3, -2, -2, -1, -2]
bankster	-2.1	0.53852	[-3, -1, -2, -2, -2, -2, -2, -3, -2, -2]
banned	-2.0	1.0	[-2, -1, -1, -1, -2, -2, -4, -3, -3, -1]
bargain	0.8	1.16619	[1, 1, 1, 1, 0, 1, 2, 3, -1, -1]
barrier	-0.5	0.92195	[-2, 0, 0, -2, -1, -1, 1, 0, 0, 0]
bashful	-0.1	1.13578	[-1, 2, -1, 0, -1, 2, 0, 0, -1, -1]
bashfully	0.2	0.9798	[0, 0, 0, -1, 1, 1, 1, 1, -2, 1]
bashfulness	-0.8	0.9798	[-2, -1, 1, 1, -1, -2, -1, -1, -1, -1]
bastard	-2.5	0.67082	[-2, -4, -2, -3, -2, -2, -3, -3, -2, -2]
bastardies	-1.8	0.87178	[-2, -1, -3, -2, -2, -2, -1, 0, -2, -3]
bastardise	-2.1	0.83066	[-2, -1, -4, -2, -2, -3, -2, -2, -2, -1]
bastardised	-2.3	0.9	[-3, -2, -3, -1, -2, -3, -4, -1, -2, -2]
bastardises	-2.3	1.18743	[-1, -4, -2, -3, -3, 0, -2, -4, -2, -2]
bastardising	-2.6	0.8	[-3, -2, -3, -2, -2, -1, -3, -4, -3, -3]
bastardization	-2.4	1.28062	[-1, -3, -4, -4, -2, -2, -2, 0, -2, -4]
bastardizations	-2.1	0.7	[-2, -1, -3, -3, -2, -2, -3, -1, -2, -2]
bastardize	-2.4	0.66332	[-2, -2, -3, -2, -2, -3, -4, -2, -2, -2]
bastardized	-2.0	0.7746	[-2, -1, -1, -2, -3, -2, -3, -2, -1, -3]
bastardizes	-1.8	0.87178	[-2, -1, -1, -2, -2, -2, -3, -3, 0, -2]
bastardizing	-2.3	0.9	[-2, -2, -1, -4, -3, -2, -1, -2, -3, -3]
bastardly	-2.7	0.64031	[-3, -3, -2, -2, -3, -2, -2, -4, -3, -3]
bastards	-3.0	0.63246	[-4, -2, -3, -3, -4, -3, -3, -3, -3, -2]
bastardy	-2.7	1.1	[-4, -3, -2, -2, -4, -3, -3, -3, -3, 0]
battle	-1.6	1.28062	[-1, -3, 0, -3, -2, -3, -2, -2, 1, -1]
battled	-1.2	0.87178	[0, 0, -2, 0, -2, -1, -2, -1, -2, -2]
battlefield	-1.6	0.8	[-2, -2, 0, -1, -2, -1, -3, -2, -1, -2]
battlefields	-0.9	1.22066	[-1, -1, 0, 0, -4, -1, 0, 0, 0, -2]
battlefront	-1.2	0.87178	[-1, 0, -2, -1, 0, -3, -1, -2, -1, -1]
battlefronts	-0.8	1.16619	[0, 0, -2, -1, 0, -3, -1, 1, -2, 0]
battleground	-1.7	0.78102	[-2, 0, -2, -2, -1, -2, -2, -3, -1, -2]
battlegrounds	-0.6	1.35647	[2, -2, 0, -1, 0, -2, -2, -2, 0, 1]
battlement	-0.4	0.8	[0, -1, 0, -1, 0, -2, 0, 1, 0, -1]
battlements	-0.4	0.66332	[0, 0, 0, 0, 0, -1, -2, 0, -1, 0]
battler	-0.8	1.4	[2, 0, -2, 0, -2, 1, -2, -1, -2, -2]
battlers	-0.2	0.9798	[-1, 0, 2, -2, 0, 0, 0, -1, 0, 0]
battles	-1.6	0.4899	[-1, -1, -2, -1, -2, -2, -2, -1, -2, -2]
battleship	-0.1	1.3	[2, -3, -1, -1, 0, 0, 1, 1, 0, 0]
battleships	-0.5	0.80623	[-2, 0, 0, 0, 0, -1, -2, 0, 0, 0]
battlewagon	-0.3	0.64031	[0, 0, -1, -2, 0, 0, 0, 0, 0, 0]
battlewagons	-0.5	0.67082	[0, 0, 0, -1, -2, -1, 0, -1, 0, 0]
battling	-1.1	1.04403	[0, -1, -2, -2, -1, 1, -2, 0, -2, -2]
beaten	-1.8	0.6	[-1, -2, -2, -2, -3, -2, -2, -2, -1, -1]
beatific	1.8	1.6	[3, 0, 2, 4, -2, 2, 2, 2, 2, 3]
beating	-2.0	0.63246	[-2, -3, -2, -2, -1, -1, -2, -3, -2, -2]
beaut	1.6	1.2	[2, 2, 2, 0, 1, -1, 2, 3, 3, 2]
beauteous	2.5	1.0247	[2, 1, 4, 3, 3, 2, 1, 4, 2, 3]
beauteously	2.6	0.8	[2, 3, 3, 3, 2, 1, 3, 4, 2, 3]
beauteousness	2.7	1.00499	[1, 3, 4, 3, 4, 1, 2, 3, 3, 3]
beautician	1.2	0.9798	[0, 0, 3, 2, 2, 0, 1, 1, 1, 2]
beauticians	0.4	0.66332	[0, 1, 0, 0, 0, 0, 1, 0, 2, 0]
beauties	2.4	0.8	[2, 3, 3, 3, 3, 1, 2, 1, 3, 3]
beautification	1.9	0.7	[2, 2, 2, 1, 2, 1, 3, 1, 2, 3]
beautifications	2.4	0.8	[3, 2, 3, 3, 1, 3, 2, 3, 1, 3]
beautified	2.1	0.7	[2, 2, 3, 1, 2, 2, 3, 1, 2, 3]
beautifier	1.7	0.64031	[2, 1, 2, 1, 2, 1, 3, 1, 2, 2]
beautifiers	1.7	0.78102	[3, 3, 1, 2, 1, 2, 2, 1, 1, 1]
beautifies	1.8	0.74833	[2, 1, 2, 1, 2, 1, 3, 1, 2, 3]
beautiful	2.9	0.7	[2, 3, 2, 3, 2, 3, 4, 4, 3, 3]
beautifuler	2.1	0.83066	[2, 0, 2, 2, 3, 2, 2, 2, 3, 3]
beautifulest	2.6	0.8	[3, 3, 3, 3, 2, 2, 4, 2, 1, 3]
beautifully	2.7	0.64031	[3, 3, 2, 2, 3, 3, 2, 2, 4, 3]
beautifulness	2.6	0.8	[3, 3, 3, 2, 3, 4, 3, 2, 2, 1]
beautify	2.3	0.45826	[2, 3, 3, 2, 2, 3, 2, 2, 2, 2]
beautifying	2.3	0.78102	[1, 2, 1, 3, 2, 2, 3, 3, 3, 3]
beauts	1.7	0.78102	[1, 2, 0, 3, 1, 2, 2, 2, 2, 2]
beauty	2.8	0.74833	[3, 3, 2, 3, 4, 4, 2, 2, 3, 2]
belittle	-1.9	0.53852	[-2, -2, -2, -1, -2, -2, -1, -2, -3, -2]
belittled	-2.0	1.0	[-3, -2, -3, -3, -2, -3, -1, -1, -2, 0]
beloved	2.3	0.45826	[2, 2, 3, 2, 2, 2, 2, 3, 3, 2]
benefic	1.4	0.4899	[2, 2, 1, 1, 1, 2, 2, 1, 1, 1]
benefice	0.4	0.66332	[0, 2, 0, 1, 0, 0, 1, 0, 0, 0]
beneficed	1.1	0.7	[1, 1, 1, 0, 2, 0, 1, 1, 2, 2]
beneficence	2.8	0.87178	[1, 4, 3, 4, 2, 2, 3, 3, 3, 3]
beneficences	1.5	0.67082	[1, 1, 2, 2, 1, 1, 1, 3, 2, 1]
beneficent	2.3	0.45826	[3, 2, 3, 2, 2, 2, 2, 3, 2, 2]
beneficently	2.2	0.6	[3, 2, 3, 3, 2, 2, 1, 2, 2, 2]
benefices	1.1	0.83066	[1, 1, 1, 0, 1, 0, 1, 1, 2, 3]
beneficial	1.9	0.53852	[2, 2, 1, 2, 2, 1, 3, 2, 2, 2]
beneficially	2.4	0.8	[3, 3, 2, 2, 2, 1, 3, 4, 2, 2]
beneficialness	1.7	0.64031	[2, 1, 2, 2, 1, 1, 2, 2, 1, 3]
beneficiaries	1.8	1.16619	[0, 1, 2, 1, 3, 4, 3, 1, 2, 1]
beneficiary	2.1	0.83066	[1, 3, 2, 2, 2, 1, 3, 3, 1, 3]
beneficiate	1.0	1.18322	[0, 0, 1, 3, 1, 0, 2, 0, 3, 0]
beneficiation	0.4	1.0198	[2, 2, 0, -1, 1, 0, -1, 0, 0, 1]
benefit	2.0	0.63246	[2, 3, 1, 2, 2, 3, 2, 1, 2, 2]
benefits	1.6	0.4899	[2, 2, 2, 1, 2, 1, 2, 2, 1, 1]
benefitted	1.7	0.64031	[2, 2, 1, 2, 2, 2, 2, 2, 0, 2]
benefitting	1.9	0.7	[1, 2, 2, 3, 1, 1, 2, 3, 2, 2]
benevolence	1.7	1.1	[2, 1, 3, 2, 2, 1, 2, 2, -1, 3]
benevolences	1.9	1.64012	[3, 2, -1, -1, 3, 1, 3, 4, 2, 3]
benevolent	2.7	0.78102	[2, 2, 3, 2, 4, 2, 3, 2, 4, 3]
benevolently	1.4	1.11355	[2, 1, 2, 2, 1, -1, 2, 3, 0, 2]
benevolentness	1.2	1.249	[2, 2, 1, -1, 2, 2, 3, -1, 1, 1]
benign	1.3	0.9	[1, 3, 2, 2, 1, 1, 2, 0, 0, 1]
benignancy	0.6	1.2	[2, -1, -2, 1, 0, 1, 1, 2, 1, 1]
benignant	2.2	0.9798	[2, 2, 2, 2, 2, 2, 4, 0, 3, 3]
benignantly	1.1	1.3	[3, 2, 3, 0, 1, 1, -1, 2, 0, 0]
benignities	0.9	0.9434	[-1, 2, 1, 0, 1, 1, 2, 2, 1, 0]
benignity	1.3	1.18743	[2, -2, 2, 2, 2, 1, 2, 1, 1, 2]
benignly	0.2	1.07703	[0, -1, 1, 1, 1, 0, 2, 0, -2, 0]
bereave	-2.1	1.13578	[0, -2, -2, -3, -3, -4, -3, -2, -1, -1]
bereaved	-2.1	0.9434	[-2, -2, -2, -1, -2, -1, -4, -1, -3, -3]
bereaves	-1.9	1.22066	[0, -3, 0, -1, -3, -2, -3, -1, -3, -3]
bereaving	-1.3	1.84662	[-3, -4, -3, 1, -2, 0, -3, -1, 1, 1]
best	3.2	0.6	[2, 4, 4, 3, 4, 3, 3, 3, 3, 3]
betray	-3.2	0.6	[-3, -4, -4, -3, -2, -3, -4, -3, -3, -3]
betrayal	-2.8	0.74833	[-3, -4, -4, -2, -3, -2, -3, -3, -2, -2]
betrayed	-3.0	0.63246	[-2, -3, -3, -3, -4, -4, -3, -3, -2, -3]
betraying	-2.5	0.67082	[-2, -2, -3, -2, -3, -2, -4, -2, -2, -3]
betrays	-2.5	0.67082	[-2, -3, -3, -2, -2, -2, -4, -2, -3, -2]
better	1.9	0.7	[2, 1, 2, 1, 1, 3, 2, 2, 3, 2]
bias	-0.4	1.11355	[-1, -2, 0, -2, -1, 1, -1, 1, 0, 1]
biased	-1.1	0.83066	[-2, -2, -1, -1, -1, -1, -1, 1, -2, -1]
bitch	-2.8	0.87178	[-1, -4, -2, -4, -3, -2, -3, -3, -3, -3]
bitched	-2.6	1.0198	[-1, -3, -2, -3, -2, -1, -4, -3, -3, -4]
bitcheries	-2.3	0.78102	[-2, -2, -2, -4, -2, -2, -3, -1, -3, -2]
bitchery	-2.7	1.18743	[-2, -2, -4, -2, -4, -4, -1, -1, -3, -4]
bitches	-2.9	0.9434	[-2, -1, -3, -3, -2, -4, -4, -3, -3, -4]
bitchier	-2.0	0.63246	[-2, -3, -1, -2, -3, -1, -2, -2, -2, -2]
bitchiest	-3.0	0.7746	[-2, -4, -2, -3, -4, -3, -3, -4, -2, -3]
bitchily	-2.6	1.11355	[-4, -4, -2, -2, -1, -4, -1, -2, -3, -3]
bitchiness	-2.6	0.66332	[-3, -3, -2, -2, -3, -3, -1, -3, -3, -3]
bitching	-1.1	1.64012	[-2, 2, -2, -1, 2, -1, -2, -2, -3, -2]
bitchy	-2.3	1.00499	[-4, -1, -2, -3, -3, -2, -1, -1, -3, -3]
bitter	-1.8	0.4	[-2, -2, -2, -1, -2, -2, -1, -2, -2, -2]
bitterbrush	-0.2	0.74833	[0, 0, 0, 0, -2, 1, 0, 0, -1, 0]
bitterbrushes	-0.6	0.8	[-1, 0, -2, -1, -2, 0, 0, 0, 0, 0]
bittered	-1.8	1.07703	[-1, -1, -3, -1, -2, -4, -2, 0, -2, -2]
bitterer	-1.9	1.04403	[-1, -2, -3, -1, -1, -4, -3, -1, -2, -1]
bitterest	-2.3	1.41774	[-4, -4, -2, -1, 1, -2, -3, -3, -2, -3]
bittering	-1.2	0.87178	[0, 0, -1, -2, 0, -2, -1, -2, -2, -2]
bitterish	-1.6	0.8	[0, -2, -1, -1, -2, -2, -2, -1, -3, -2]
bitterly	-2.0	0.63246	[-2, -2, -1, -1, -2, -2, -3, -2, -2, -3]
bittern	-0.2	0.6	[0, 0, -2, 0, 0, 0, 0, 0, 0, 0]
bitterness	-1.7	0.45826	[-2, -2, -1, -2, -1, -2, -1, -2, -2, -2]
bitterns	-0.4	1.11355	[0, 0, 0, -3, 0, 0, 0, 1, 0, -2]
bitterroots	-0.2	0.4	[0, 0, 0, -1, -1, 0, 0, 0, 0, 0]
bitters	-0.4	0.4899	[-1, -1, -1, 0, 0, 0, 0, -1, 0, 0]
bittersweet	-0.3	0.64031	[0, -1, 0, 0, 0, 0, 0, 0, -2, 0]
bittersweetness	-0.6	0.91652	[0, 0, 0, -2, 0, -2, 0, 0, -2, 0]
bittersweets	-0.2	0.9798	[-2, 1, 0, 0, 0, -2, 0, 0, 0, 1]
bitterweeds	-0.5	0.67082	[0, -2, 0, -1, -1, 0, 0, -1, 0, 0]
bizarre	-1.3	1.00499	[-2, 0, 0, -2, 0, -1, -3, -2, -1, -2]
blah	-0.4	1.49666	[-2, -1, -1, -1, -1, -1, -1, 3, 2, -1]
blam	-0.2	1.16619	[-1, 0, 0, -1, -1, -2, -1, 1, 2, 1]
blamable	-1.8	0.4	[-2, -2, -2, -2, -1, -1, -2, -2, -2, -2]
blamably	-1.8	0.4	[-2, -2, -2, -2, -1, -1, -2, -2, -2, -2]
blame	-1.4	1.42829	[-4, -2, -2, -1, -1, -1, -2, 2, -2, -1]
blamed	-2.1	0.53852	[-2, -2, -2, -2, -3, -2, -2, -2, -3, -1]
blameful	-1.7	0.45826	[-2, -2, -2, -2, -2, -2, -1, -1, -2, -1]
blamefully	-1.6	0.66332	[-1, -2, -1, -1, -2, -1, -1, -2, -2, -3]
blameless	0.7	1.73494	[3, 1, 2, 3, -2, 1, -1, 1, 1, -2]
blamelessly	0.9	1.37477	[2, 0, 2, 0, 1, -1, 1, 4, 0, 0]
blamelessness	0.6	1.35647	[0, 2, 1, 2, 1, 0, 1, -3, 1, 1]
blamer	-2.1	0.83066	[-2, -2, -1, -2, -3, -3, -3, -1, -1, -3]
blamers	-2.0	0.63246	[-3, -2, -2, -3, -1, -2, -2, -1, -2, -2]
blames	-1.7	0.45826	[-2, -2, -1, -2, -2, -2, -2, -1, -1, -2]
blameworthiness	-1.6	0.66332	[-2, -2, -1, -2, -2, -1, -3, -1, -1, -1]
blameworthy	-2.3	0.78102	[-3, -3, -2, -2, -2, -1, -1, -3, -3, -3]
blaming	-2.2	0.6	[-2, -3, -1, -3, -2, -2, -3, -2, -2, -2]
bless	1.8	0.6	[3, 2, 2, 1, 2, 2, 1, 2, 2, 1]
blessed	2.9	0.3	[2, 3, 3, 3, 3, 3, 3, 3, 3, 3]
blesseder	2.0	0.63246	[3, 3, 2, 2, 1, 1, 2, 2, 2, 2]
blessedest	2.8	0.87178	[2, 4, 1, 4, 3, 3, 2, 3, 3, 3]
blessedly	1.7	1.1	[2, 2, 1, -1, 3, 2, 3, 1, 2, 2]
blessedness	1.6	1.35647	[2, 2, 2, 2, 2, 3, 3, -1, -1, 2]
blesser	2.6	0.66332	[1, 3, 2, 3, 3, 3, 2, 3, 3, 3]
blessers	1.9	0.7	[2, 2, 1, 2, 2, 2, 3, 1, 3, 1]
blesses	2.6	0.66332	[1, 3, 3, 3, 3, 3, 2, 3, 2, 3]
blessing	2.2	1.07703	[3, 1, 0, 3, 1, 3, 2, 3, 3, 3]
blessings	2.5	0.92195	[3, 3, 3, 2, 1, 3, 2, 3, 4, 1]
blind	-1.7	1.00499	[-4, -1, -1, -2, -1, -1, -3, -2, -1, -1]
bliss	2.7	0.78102	[3, 3, 3, 2, 1, 2, 4, 3, 3, 3]
blissful	2.9	0.83066	[4, 4, 2, 3, 3, 3, 1, 3, 3, 3]
blithe	1.2	1.16619	[2, 2, -1, 1, 1, 2, 2, 2, -1, 2]
block	-1.9	1.13578	[-3, -2, -1, -2, 0, 0, -3, -2, -3, -3]
blockbuster	2.9	0.9434	[3, 4, 3, 2, 3, 4, 3, 2, 1, 4]
blocked	-1.1	1.13578	[-1, 0, 0, -1, -2, -1, -1, -4, -1, 0]
blocking	-1.6	0.91652	[-1, -1, -1, -1, -2, -2, -4, -1, -2, -1]
blocks	-0.9	1.13578	[-1, 0, -1, -2, -2, -2, -1, -1, 2, -1]
bloody	-1.9	0.7	[-2, -2, -2, 0, -2, -2, -3, -2, -2, -2]
blurry	-0.4	1.28062	[-1, -1, -1, -1, 2, -2, -1, 2, 0, -1]
bold	1.6	0.66332	[2, 2, 2, 2, 1, 2, 0, 2, 1, 2]
bolder	1.2	0.6	[2, 1, 1, 1, 1, 2, 1, 2, 0, 1]
boldest	1.6	1.11355	[1, 3, 2, 3, 0, 0, 2, 3, 1, 1]
boldface	0.3	0.64031	[1, 0, 0, 0, 0, 0, 0, 2, 0, 0]
boldfaced	-0.1	1.22066	[0, 0, 0, 2, -1, -2, 2, -1, -1, 0]
boldfaces	0.1	1.3	[0, 0, 0, 2, -2, -2, 2, 1, 0, 0]
boldfacing	0.1	0.7	[0, 0, -1, 2, 0, 0, 0, 0, 0, 0]
boldly	1.5	1.62788	[3, -2, -1, 1, 2, 3, 2, 3, 2, 2]
boldness	1.5	1.0247	[0, 1, 3, 1, 2, 0, 3, 1, 2, 2]
boldnesses	0.9	0.83066	[0, 0, 1, 0, 2, 1, 1, 2, 0, 2]
bolds	1.3	0.78102	[2, 2, 1, 1, 0, 2, 0, 2, 1, 2]
bomb	-2.2	0.87178	[-2, -2, -1, -3, -4, -3, -2, -1, -2, -2]
bonus	2.5	0.67082	[2, 2, 2, 3, 4, 3, 2, 2, 3, 2]
bonuses	2.6	0.91652	[2, 2, 3, 4, 3, 4, 3, 1, 2, 2]
boost	1.7	0.64031	[1, 1, 2, 2, 2, 3, 1, 1, 2, 2]
boosted	1.5	1.5	[-1, 1, 0, 2, 1, 2, 3, 3, 4, 0]
boosting	1.4	0.91652	[1, 1, 3, 0, 2, 2, 0, 2, 1, 2]
boosts	1.3	0.9	[1, 1, 1, 1, 3, 0, 1, 1, 3, 1]
bore	-1.0	0.44721	[-1, -2, 0, -1, -1, -1, -1, -1, -1, -1]
boreal	-0.3	0.9	[0, 0, 0, 0, 1, -2, 0, 0, -2, 0]
borecole	-0.2	0.74833	[1, 0, 0, 0, -1, -2, 0, 0, 0, 0]
borecoles	-0.3	0.45826	[-1, 0, 0, 0, 0, 0, -1, 0, -1, 0]
bored	-1.1	0.9434	[-2, -1, -2, -1, 0, 0, -3, 0, -1, -1]
boredom	-1.3	0.45826	[-1, -1, -1, -1, -2, -1, -1, -2, -2, -1]
boredoms	-1.1	0.83066	[-1, -1, -1, -2, 1, -1, -2, -1, -1, -2]
boreen	0.1	0.3	[0, 0, 0, 0, 0, 1, 0, 0, 0, 0]
boreens	0.2	0.6	[0, 0, 0, 2, 0, 0, 0, 0, 0, 0]
boreholes	-0.2	0.74833	[0, 0, 0, 0, 0, 1, -1, 0, -2, 0]
borer	-0.4	0.4899	[0, -1, 0, 0, -1, -1, 0, 0, 0, -1]
borers	-1.2	0.9798	[-1, 0, -2, -1, -1, -3, -2, 0, -2, 0]
bores	-1.3	0.78102	[-2, -1, -2, -1, -1, -1, -3, 0, -1, -1]
borescopes	-0.1	0.83066	[-1, 0, -1, 2, 0, 0, 0, 0, -1, 0]
boresome	-1.3	0.45826	[-2, -1, -1, -1, -1, -1, -2, -1, -2, -1]
boring	-1.3	0.45826	[-1, -1, -1, -1, -1, -2, -1, -1, -2, -2]
bother	-1.4	0.91652	[-1, -1, -1, -2, -3, -3, -1, -1, -1, 0]
botheration	-1.7	0.64031	[-1, -1, -1, -2, -2, -1, -2, -2, -2, -3]
botherations	-1.3	0.64031	[-2, -2, -2, -1, -2, 0, -1, -1, -1, -1]
bothered	-1.3	0.45826	[-1, -1, -2, -1, -2, -1, -1, -1, -1, -2]
bothering	-1.6	0.4899	[-2, -1, -2, -2, -1, -1, -1, -2, -2, -2]
bothers	-0.8	0.9798	[-1, -2, -1, -1, 2, -1, -1, -1, -1, -1]
bothersome	-1.3	0.45826	[-2, -1, -1, -1, -1, -1, -2, -2, -1, -1]
boycott	-1.3	0.45826	[-2, -1, -1, -1, -1, -2, -1, -1, -2, -1]
boycotted	-1.7	0.64031	[-1, -2, -2, -3, -1, -1, -2, -2, -2, -1]
boycotting	-1.7	0.64031	[-2, -2, -2, 0, -2, -1, -2, -2, -2, -2]
boycotts	-1.4	0.91652	[-2, -2, -2, -2, -1, -2, -1, 1, -1, -2]
brainwashing	-1.5	1.28452	[-2, -2, -2, -3, -1, -2, 2, -1, -2, -2]
brave	2.4	0.8	[2, 3, 4, 3, 1, 3, 2, 2, 2, 2]
braved	1.9	0.83066	[3, 1, 3, 1, 1, 2, 3, 2, 2, 1]
bravely	2.3	0.78102	[1, 3, 2, 2, 2, 4, 2, 2, 2, 3]
braver	2.4	0.8	[3, 2, 2, 1, 4, 2, 3, 3, 2, 2]
braveries	2.0	1.0	[2, 4, 2, 3, 1, 1, 2, 3, 1, 1]
bravery	2.2	0.74833	[1, 2, 2, 2, 3, 2, 3, 3, 1, 3]
braves	1.9	0.83066	[3, 1, 3, 1, 2, 2, 3, 2, 1, 1]
bravest	2.3	0.64031	[1, 3, 3, 2, 3, 2, 3, 2, 2, 2]
breathtaking	2.0	1.26491	[3, 1, 3, 2, -1, 1, 2, 3, 3, 3]
bribe	-0.8	1.98997	[-3, 0, -1, -2, -1, -2, -4, 1, 3, 1]
bright	1.9	0.7	[2, 2, 1, 2, 1, 2, 1, 3, 3, 2]
brighten	1.9	0.7	[2, 1, 1, 2, 3, 2, 1, 2, 2, 3]
brightened	2.1	0.83066	[2, 3, 1, 1, 2, 2, 3, 1, 3, 3]
brightener	1.0	1.18322	[0, 0, 0, 1, 0, 1, 2, 0, 3, 3]
brighteners	1.0	0.89443	[0, 1, 0, 1, 1, 3, 0, 1, 2, 1]
brightening	2.5	0.92195	[2, 3, 2, 1, 2, 3, 4, 4, 2, 2]
brightens	1.5	0.5	[2, 1, 1, 2, 2, 1, 2, 2, 1, 1]
brighter	1.6	0.66332	[1, 1, 1, 2, 2, 2, 1, 2, 1, 3]
brightest	3.0	0.63246	[3, 3, 2, 3, 4, 3, 2, 3, 4, 3]
brightly	1.5	0.67082	[2, 3, 1, 2, 1, 1, 2, 1, 1, 1]
brightness	1.6	0.91652	[2, 2, 1, 1, 1, 3, 3, 0, 2, 1]
brightnesses	1.4	0.91652	[2, 3, 1, 2, 1, 1, 0, 0, 2, 2]
brights	0.4	0.66332	[0, 0, 2, 0, 0, 1, 0, 0, 1, 0]
brightwork	1.1	0.83066	[1, 0, 1, 2, 1, 0, 3, 1, 1, 1]
brilliance	2.9	0.83066	[4, 3, 2, 4, 4, 3, 2, 3, 2, 2]
brilliances	2.9	0.83066	[3, 4, 3, 4, 4, 2, 3, 2, 2, 2]
brilliancies	2.3	1.18743	[1, 4, 1, 3, 3, 2, 1, 3, 4, 1]
brilliancy	2.6	1.0198	[4, 3, 2, 4, 2, 3, 1, 3, 1, 3]
brilliant	2.8	0.6	[2, 3, 3, 2, 3, 3, 4, 2, 3, 3]
brilliantine	0.8	1.16619	[-1, 3, 1, 0, 1, 0, 2, 0, 2, 0]
brilliantines	2.0	1.34164	[0, 1, 4, 2, 3, 1, 3, 0, 3, 3]
brilliantly	3.0	0.44721	[3, 2, 3, 3, 3, 3, 3, 3, 4, 3]
brilliants	1.9	0.83066	[3, 1, 2, 1, 2, 1, 3, 2, 1, 3]
brisk	0.6	0.8	[0, 0, 0, 0, 1, 1, 0, 2, 0, 2]
broke	-1.8	0.4	[-2, -2, -2, -2, -1, -2, -2, -1, -2, -2]
broken	-2.1	0.53852	[-2, -2, -2, -2, -3, -2, -1, -3, -2, -2]
brooding	0.1	1.3	[3, 0, -1, -1, -1, 1, 1, -1, 1, -1]
brutal	-3.1	0.7	[-3, -3, -4, -2, -3, -4, -3, -4, -3, -2]
brutalise	-2.7	1.1	[-4, -3, -3, -4, -3, -2, -2, -3, 0, -3]
brutalised	-2.9	0.83066	[-3, -3, -2, -3, -3, -4, -4, -1, -3, -3]
brutalises	-3.2	0.4	[-3, -3, -3, -3, -3, -4, -4, -3, -3, -3]
brutalising	-2.8	0.74833	[-3, -3, -4, -3, -2, -3, -3, -3, -1, -3]
brutalities	-2.6	1.0198	[-4, -2, -2, -4, -2, -4, -2, -3, -1, -2]
brutality	-3.0	0.63246	[-2, -3, -4, -2, -3, -3, -3, -4, -3, -3]
brutalization	-2.1	2.16564	[-3, -2, -4, -2, -4, -4, 2, -3, 2, -3]
brutalizations	-2.3	0.64031	[-2, -2, -3, -2, -1, -3, -3, -2, -2, -3]
brutalize	-2.9	0.7	[-3, -4, -3, -3, -2, -2, -3, -4, -2, -3]
brutalized	-2.4	0.4899	[-3, -2, -2, -3, -2, -2, -3, -3, -2, -2]
brutalizes	-3.2	0.6	[-4, -4, -3, -2, -3, -4, -3, -3, -3, -3]
brutalizing	-3.4	0.66332	[-4, -3, -4, -3, -4, -4, -3, -4, -2, -3]
brutally	-3.0	0.44721	[-3, -3, -3, -3, -3, -3, -3, -2, -3, -4]
bullied	-3.1	0.9434	[-4, -4, -4, -2, -2, -4, -4, -3, -2, -2]
bullshit	-2.8	0.6	[-3, -3, -3, -3, -3, -4, -2, -3, -2, -2]
bully	-2.2	1.6	[-2, -3, -3, -4, -2, -1, 2, -3, -3, -3]
bullying	-2.9	0.7	[-3, -2, -3, -2, -4, -2, -3, -3, -4, -3]
bummer	-1.6	0.8	[-3, -1, -1, -1, -3, -1, -1, -2, -2, -1]
buoyant	0.9	0.83066	[0, 1, 1, 2, 1, 0, 0, 2, 0, 2]
burden	-1.9	0.53852	[-2, -2, -1, -2, -3, -2, -1, -2, -2, -2]
burdened	-1.7	0.45826	[-2, -2, -2, -2, -1, -2, -1, -2, -2, -1]
burdener	-1.3	0.45826	[-1, -1, -2, -1, -1, -1, -2, -1, -2, -1]
burdeners	-1.7	1.00499	[-2, -2, -2, -1, -3, -2, 0, 0, -2, -3]
burdening	-1.4	0.66332	[-2, -1, -2, -2, -1, -1, -1, 0, -2, -2]
burdens	-1.5	0.5	[-2, -2, -1, -1, -2, -1, -1, -1, -2, -2]
burdensome	-1.8	0.9798	[-1, -1, -3, -2, -1, -2, -2, -1, -4, -1]
bwahaha	0.4	1.0198	[0, 1, 0, 1, 0, 2, -1, -1, 2, 0]
bwahahah	2.5	0.92195	[3, 4, 2, 2, 2, 3, 1, 2, 2, 4]
calm	1.3	0.78102	[1, 1, 0, 1, 2, 3, 2, 1, 1, 1]
calmative	1.1	0.9434	[3, 2, -1, 1, 1, 1, 1, 1, 1, 1]
calmatives	0.5	0.80623	[-1, 1, 0, 1, 0, 0, 1, 2, 0, 1]
calmed	1.6	0.4899	[2, 2, 2, 1, 1, 1, 2, 1, 2, 2]
calmer	1.5	0.67082	[1, 2, 3, 1, 1, 1, 2, 1, 2, 1]
calmest	1.6	0.8	[3, 2, 2, 2, 1, 1, 0, 2, 1, 2]
calming	1.7	0.78102	[2, 1, 3, 2, 2, 1, 3, 1, 1, 1]
calmly	1.3	0.9	[0, 0, 1, 3, 2, 2, 1, 1, 2, 1]
calmness	1.7	0.9	[1, 1, 1, 2, 2, 2, 1, 4, 1, 2]
calmnesses	1.6	0.4899	[1, 2, 1, 2, 1, 2, 2, 2, 1, 2]
calmodulin	0.2	0.4	[0, 0, 0, 0, 0, 0, 1, 0, 0, 1]
calms	1.3	0.64031	[2, 1, 1, 2, 0, 1, 1, 2, 2, 1]
can't stand	-2.0	0.63246	[-2, -2, -2, -1, -1, -2, -3, -2, -2, -3]
cancel	-1.0	0.63246	[-2, -1, -1, -1, -1, 0, -1, 0, -2, -1]
cancelled	-1.0	0.44721	[-1, -1, -1, -1, 0, -1, -1, -2, -1, -1]
cancelling	-0.8	0.74833	[0, 0, -1, 0, -1, -1, 0, -2, -1, -2]
cancels	-0.9	0.53852	[0, -1, 0, -1, -1, -1, -1, -1, -2, -1]
cancer	-3.4	0.8	[-2, -4, -3, -4, -4, -2, -3, -4, -4, -4]
capable	1.6	0.4899	[1, 2, 2, 2, 1, 1, 2, 2, 1, 2]
captivated	1.6	0.4899	[2, 1, 2, 2, 2, 2, 1, 2, 1, 1]
care	2.2	0.74833	[2, 1, 2, 1, 2, 2, 3, 3, 3, 3]
cared	1.8	0.74833	[1, 2, 1, 3, 1, 2, 2, 2, 3, 1]
carefree	1.7	0.64031	[1, 1, 2, 2, 2, 2, 1, 1, 2, 3]
careful	0.6	1.11355	[3, 0, 0, 0, 1, 0, -1, 2, 1, 0]
carefully	0.5	0.67082	[1, 0, 1, 1, 0, 1, 0, 1, 1, -1]
carefulness	2.0	0.44721	[3, 2, 2, 1, 2, 2, 2, 2, 2, 2]
careless	-1.5	0.5	[-2, -1, -1, -2, -2, -1, -2, -2, -1, -1]
carelessly	-1.0	0.44721	[-1, -1, -1, -2, -1, 0, -1, -1, -1, -1]
carelessness	-1.4	0.4899	[-2, -1, -1, -2, -1, -2, -1, -1, -2, -1]
carelessnesses	-1.6	1.11355	[-4, -2, -2, -3, -1, 0, -1, -1, -1, -1]
cares	2.0	0.7746	[2, 3, 1, 3, 1, 2, 2, 2, 3, 1]
caring	2.2	0.4	[2, 3, 2, 2, 2, 2, 2, 3, 2, 2]
casual	0.8	0.74833	[1, 1, 0, 1, 0, 2, 0, 1, 2, 0]
casually	0.7	1.00499	[1, 0, 0, 0, 1, 0, 0, 3, 2, 0]
casualty	-2.4	0.91652	[-4, -3, -3, -2, -1, -2, -3, -1, -2, -3]
catastrophe	-3.4	0.4899	[-3, -3, -3, -4, -4, -3, -3, -3, -4, -4]
catastrophic	-2.2	2.22711	[-3, -2, -4, -4, -4, -3, -2, -4, 2, 2]
cautious	-0.4	0.66332	[0, 1, -1, 0, 0, 0, -1, -1, -1, -1]
celebrate	2.7	1.00499	[4, 4, 3, 2, 4, 2, 2, 2, 3, 1]
celebrated	2.7	0.78102	[2, 3, 3, 2, 3, 4, 3, 3, 1, 3]
celebrates	2.7	0.64031	[2, 3, 3, 2, 2, 3, 3, 3, 4, 2]
celebrating	2.7	0.64031	[3, 3, 4, 2, 2, 2, 3, 3, 2, 3]
censor	-2.0	1.34164	[0, -3, -2, -3, -3, 0, -4, -1, -1, -3]
censored	-0.6	1.68523	[-1, -1, -1, 2, -3, -2, -1, -1, -1, 3]
censors	-1.2	1.07703	[-1, 0, -3, 0, -1, 0, -1, -2, -1, -3]
certain	1.1	0.7	[1, 0, 2, 0, 2, 2, 1, 1, 1, 1]
certainly	1.4	1.0198	[3, 2, 0, 1, 3, 1, 0, 1, 1, 2]
certainties	0.9	1.44568	[0, -2, 4, 0, 1, 1, 1, 1, 2, 1]
certainty	1.0	0.89443	[2, 1, 0, 1, 0, 0, 2, 2, 2, 0]
chagrin	-1.9	0.53852	[-1, -2, -3, -2, -1, -2, -2, -2, -2, -2]
chagrined	-1.4	1.2	[-1, -2, 2, -1, -2, -2, -2, -2, -2, -2]
challenge	0.3	1.00499	[1, 0, -1, 1, 1, -1, 1, 0, 2, -1]
challenged	-0.4	1.62481	[0, -2, 1, -1, -3, -1, 3, -1, 1, -1]
challenger	0.5	1.43178	[0, 0, 2, -1, -2, 1, 3, 0, 2, 0]
challengers	0.4	1.56205	[0, -2, -1, 1, 1, 2, 3, 2, -1, -1]
challenges	0.3	1.48661	[0, -1, 2, -1, -2, 0, 3, 0, 2, 0]
challenging	0.6	0.91652	[0, 0, 0, 1, 1, -1, 0, 2, 2, 1]
challengingly	-0.6	1.68523	[0, -1, -2, 1, -3, 2, -2, -1, 2, -2]
champ	2.1	0.83066	[2, 2, 2, 3, 2, 3, 2, 0, 3, 2]
champac	-0.2	0.6	[0, 0, -2, 0, 0, 0, 0, 0, 0, 0]
champagne	1.2	1.07703	[1, 2, 2, 3, 0, 2, 0, 0, 2, 0]
champagnes	0.5	0.92195	[0, 0, 0, 0, 0, 1, 1, 3, 0, 0]
champaign	0.2	0.6	[0, 0, 0, 0, 2, 0, 0, 0, 0, 0]
champaigns	0.5	0.67082	[1, 0, 0, 0, 0, 0, 0, 1, 2, 1]
champaks	-0.2	0.6	[0, 0, 0, 0, 0, 0, -2, 0, 0, 0]
champed	1.0	0.63246	[1, 1, 2, 1, 1, 2, 1, 0, 0, 1]
champer	-0.1	0.53852	[0, -1, 1, 0, 0, 0, 0, -1, 0, 0]
champers	0.5	0.67082	[1, 0, 0, 0, 0, 0, 0, 1, 1, 2]
champerties	-0.1	0.83066	[0, -1, 1, 1, 0, 0, 0, 0, -2, 0]
champertous	0.3	0.78102	[0, 0, 0, 1, -1, 2, 1, 0, 0, 0]
champerty	-0.2	1.32665	[-2, -1, 0, -1, 0, 0, 0, -2, 2, 2]
champignon	0.4	0.8	[0, 0, 0, 0, 0, 2, 0, 2, 0, 0]
champignons	0.2	0.6	[0, 2, 0, 0, 0, 0, 0, 0, 0, 0]
champing	0.7	1.34536	[0, 2, 0, 3, 1, 1, 2, 0, -2, 0]
champion	2.9	0.83066	[3, 2, 3, 4, 4, 3, 2, 2, 4, 2]
championed	1.2	1.53623	[2, 1, 3, 1, 1, -3, 2, 2, 1, 2]
championing	1.8	0.9798	[1, 3, 2, 0, 3, 1, 2, 2, 1, 3]
champions	2.4	1.42829	[4, 0, 0, 3, 1, 3, 4, 3, 3, 3]
championship	1.9	1.04403	[3, 1, 1, 3, 2, 1, 3, 3, 0, 2]
championships	2.2	0.74833	[2, 2, 1, 2, 3, 2, 4, 2, 2, 2]
champs	1.8	0.4	[2, 2, 2, 2, 1, 2, 1, 2, 2, 2]
champy	1.0	1.0	[3, 0, 0, 0, 0, 2, 1, 2, 1, 1]
chance	1.0	0.7746	[1, 1, 0, 0, 0, 2, 1, 2, 1, 2]
chances	0.8	0.4	[0, 1, 1, 0, 1, 1, 1, 1, 1, 1]
chaos	-2.7	0.9	[-2, -2, -3, -1, -4, -3, -3, -2, -3, -4]
chaotic	-2.2	1.4	[-3, -2, -1, -2, -3, 1, -2, -2, -4, -4]
charged	-0.8	0.87178	[-1, -2, -2, -1, -1, 0, -1, 1, 0, -1]
charges	-1.1	0.7	[-2, -2, -2, -1, -1, 0, -1, -1, 0, -1]
charitable	1.7	0.64031	[1, 2, 1, 2, 2, 1, 2, 1, 3, 2]
charitableness	1.9	0.9434	[3, 1, 1, 3, 1, 3, 3, 2, 1, 1]
charitablenesses	1.6	1.74356	[2, 2, 3, 4, 1, -1, -2, 3, 2, 2]
charitably	1.4	0.66332	[1, 2, 1, 2, 2, 1, 0, 1, 2, 2]
charities	2.2	0.6	[3, 3, 2, 2, 1, 2, 2, 3, 2, 2]
charity	1.8	0.87178	[1, 3, 2, 2, 2, 1, 2, 0, 2, 3]
charm	1.7	0.78102	[3, 1, 1, 3, 2, 2, 1, 1, 1, 2]
charmed	2.0	0.63246	[3, 1, 2, 2, 2, 3, 1, 2, 2, 2]
charmer	1.9	0.53852	[3, 2, 2, 2, 2, 2, 1, 1, 2, 2]
charmers	2.1	0.83066	[2, 1, 2, 2, 4, 3, 2, 1, 2, 2]
charmeuse	0.3	0.78102	[0, 0, 0, 1, 0, 2, 1, 0, -1, 0]
charmeuses	0.4	0.66332	[0, 0, 1, 0, 1, 0, 0, 0, 0, 2]
charming	2.8	0.4	[3, 3, 3, 3, 3, 3, 2, 3, 2, 3]
charminger	1.5	0.67082	[2, 3, 1, 2, 1, 1, 2, 1, 1, 1]
charmingest	2.4	0.66332	[2, 3, 3, 1, 3, 2, 3, 3, 2, 2]
charmingly	2.2	0.87178	[2, 2, 2, 1, 2, 2, 3, 3, 4, 1]
charmless	-1.8	0.87178	[-3, -1, -3, -1, -1, -1, -2, -1, -3, -2]
charms	1.9	0.7	[1, 2, 3, 2, 1, 2, 3, 1, 2, 2]
chastise	-2.5	0.92195	[-4, -3, -2, -1, -4, -3, -2, -2, -2, -2]
chastised	-2.2	1.16619	[-2, -3, -2, -4, -1, -1, -3, 0, -3, -3]
chastises	-1.7	1.61555	[-3, -3, -3, -1, 1, -2, 1, -1, -2, -4]
chastising	-1.7	0.78102	[-2, -3, -2, -2, -2, 0, -1, -1, -2, -2]
cheat	-2.0	0.7746	[-2, -3, -3, -2, -2, -1, -1, -1, -2, -3]
cheated	-2.3	0.64031	[-2, -4, -2, -2, -2, -2, -3, -2, -2, -2]
cheater	-2.5	0.67082	[-2, -4, -2, -3, -2, -2, -3, -2, -3, -2]
cheaters	-1.9	0.83066	[-2, -2, -2, -1, -1, -4, -2, -1, -2, -2]
cheating	-2.6	0.91652	[-2, -3, -3, -2, -4, -4, -3, -2, -1, -2]
cheats	-1.8	0.6	[-3, -1, -2, -1, -2, -1, -2, -2, -2, -2]
cheer	2.3	0.64031	[2, 1, 2, 2, 2, 3, 3, 3, 2, 3]
cheered	2.3	0.78102	[2, 3, 3, 4, 2, 1, 2, 2, 2, 2]
cheerer	1.7	0.45826	[1, 2, 2, 2, 1, 1, 2, 2, 2, 2]
cheerers	1.8	0.87178	[2, 2, 3, 2, 1, 2, 0, 1, 3, 2]
cheerful	2.5	0.67082	[3, 2, 3, 2, 2, 2, 4, 2, 3, 2]
cheerfuller	1.9	0.83066	[3, 3, 2, 3, 2, 1, 1, 2, 1, 1]
cheerfullest	3.2	0.87178	[4, 4, 4, 4, 3, 2, 2, 3, 2, 4]
cheerfully	2.1	0.83066	[3, 2, 2, 2, 1, 3, 1, 3, 1, 3]
cheerfulness	2.1	0.9434	[3, 2, 1, 2, 3, 4, 1, 2, 1, 2]
cheerier	2.6	0.4899	[2, 2, 3, 3, 2, 3, 3, 2, 3, 3]
cheeriest	2.2	0.6	[3, 2, 3, 1, 2, 2, 3, 2, 2, 2]
cheerily	2.5	0.67082	[3, 3, 2, 3, 2, 4, 2, 2, 2, 2]
cheeriness	2.5	0.67082	[3, 2, 4, 2, 3, 2, 3, 2, 2, 2]
cheering	2.3	0.64031	[3, 3, 2, 1, 3, 2, 2, 2, 3, 2]
cheerio	1.2	0.6	[2, 1, 1, 1, 2, 1, 1, 1, 2, 0]
cheerlead	1.7	0.78102	[1, 2, 0, 2, 2, 2, 2, 3, 1, 2]
cheerleader	0.9	0.9434	[1, 1, 0, 2, 1, 0, 0, 1, 0, 3]
cheerleaders	1.2	1.07703	[2, 0, 0, 1, 1, 0, 3, 3, 1, 1]
cheerleading	1.2	1.07703	[2, 2, 0, 0, 1, 0, 3, 2, 0, 2]
cheerleads	1.2	1.07703	[2, 3, 0, 3, 1, 0, 0, 1, 1, 1]
cheerled	1.5	1.11803	[0, 2, 1, 4, 2, 2, 2, 1, 1, 0]
cheerless	-1.7	1.1	[-2, -3, -2, -2, -3, -2, -1, -1, 1, -2]
cheerlessly	-0.8	1.98997	[-2, 4, -1, -2, -1, -2, -2, -2, 2, -2]
cheerlessness	-1.7	1.48661	[-2, -1, -2, -3, -2, -4, -1, 2, -2, -2]
cheerly	2.4	0.66332	[2, 2, 3, 2, 2, 3, 4, 2, 2, 2]
cheers	2.1	1.3	[2, 2, 1, 3, 2, 3, 3, 4, -1, 2]
cheery	2.6	0.66332	[3, 2, 2, 3, 2, 3, 4, 2, 3, 2]
cherish	1.6	1.49666	[0, 3, 3, 3, 2, 2, 2, 1, -2, 2]
cherishable	2.0	1.41421	[-2, 2, 2, 2, 3, 2, 3, 3, 2, 3]
cherished	2.3	0.64031	[3, 2, 2, 3, 2, 2, 1, 3, 2, 3]
cherisher	2.2	0.4	[2, 2, 3, 2, 2, 2, 2, 3, 2, 2]
cherishers	1.9	0.7	[3, 3, 2, 2, 1, 1, 2, 2, 2, 1]
cherishes	2.2	0.74833	[2, 2, 3, 2, 2, 2, 2, 4, 2, 1]
cherishing	2.0	0.7746	[3, 3, 2, 2, 1, 2, 1, 3, 2, 1]
chic	1.1	1.3	[1, 2, 2, -2, 2, 0, 1, 1, 3, 1]
childish	-1.2	0.74833	[-1, -1, -2, -3, -1, 0, -1, -1, -1, -1]
chilling	-0.1	1.92094	[3, -2, 0, 1, -2, -2, -1, -2, 1, 3]
choke	-2.5	0.92195	[-1, -2, -3, -3, -2, -4, -2, -4, -2, -2]
choked	-2.1	1.3	[-4, -3, 0, -2, -1, -3, -3, -2, 0, -3]
chokes	-2.0	0.89443	[-4, -3, -1, -2, -1, -2, -2, -2, -1, -2]
choking	-2.0	1.26491	[-4, -2, -2, -3, -2, -2, -3, -1, 1, -2]
chuckle	1.7	0.45826	[2, 1, 2, 2, 2, 2, 1, 1, 2, 2]
chuckled	1.2	0.9798	[2, 2, 1, 1, 2, 0, 1, 2, -1, 2]
chucklehead	-1.9	0.53852	[-2, -2, -1, -3, -2, -2, -2, -2, -1, -2]
chuckleheaded	-1.3	1.84662	[-3, -4, -2, 0, 3, -1, -2, 0, -2, -2]
chuckleheads	-1.1	0.9434	[-1, -2, 0, -1, -1, -3, 0, 0, -2, -1]
chuckler	0.8	1.07703	[2, 1, -1, 0, 2, 1, 1, 2, -1, 1]
chucklers	1.2	0.87178	[1, 1, 2, 3, 1, 0, 1, 0, 2, 1]
chuckles	1.1	1.13578	[2, 2, -1, 1, 2, 1, 1, 2, -1, 2]
chucklesome	1.1	0.53852	[1, 1, 2, 1, 1, 1, 0, 2, 1, 1]
chuckling	1.4	0.4899	[1, 2, 1, 2, 1, 1, 2, 2, 1, 1]
chucklingly	1.2	0.4	[1, 1, 1, 1, 2, 1, 1, 1, 2, 1]
clarifies	0.9	1.13578	[-2, 1, 0, 2, 1, 2, 2, 1, 1, 1]
clarity	1.7	0.78102	[2, 1, 2, 3, 3, 1, 1, 2, 1, 1]
classy	1.9	0.53852	[1, 2, 2, 1, 3, 2, 2, 2, 2, 2]
clean	1.7	0.78102	[3, 1, 2, 1, 2, 1, 3, 2, 1, 1]
cleaner	0.7	0.78102	[1, 0, 1, 0, 0, 0, 2, 1, 2, 0]
clear	1.6	1.2	[2, 1, 1, 0, 3, 1, 2, 4, 2, 0]
cleared	0.4	0.4899	[0, 0, 1, 1, 0, 0, 0, 0, 1, 1]
clearly	1.7	0.78102	[2, 2, 2, 2, 1, 2, 0, 2, 1, 3]
clears	0.3	0.78102	[0, 1, 0, 0, 0, -1, 1, 2, 0, 0]
clever	2.0	0.7746	[2, 1, 2, 2, 2, 1, 3, 1, 3, 3]
cleverer	2.0	0.44721	[2, 2, 2, 3, 2, 2, 1, 2, 2, 2]
cleverest	2.6	0.91652	[4, 3, 2, 2, 4, 3, 2, 1, 2, 3]
cleverish	1.0	1.18322	[1, 1, 1, 1, 1, 1, 2, 1, -2, 3]
cleverly	2.3	0.45826	[2, 3, 2, 2, 2, 3, 2, 2, 3, 2]
cleverness	2.3	0.9	[2, 4, 2, 2, 1, 3, 3, 3, 1, 2]
clevernesses	1.4	0.66332	[1, 1, 1, 2, 2, 2, 2, 0, 2, 1]
clouded	-0.2	0.9798	[-2, 0, 2, 0, 0, -1, 0, -1, 0, 0]
clueless	-1.5	0.5	[-1, -2, -1, -2, -2, -1, -1, -1, -2, -2]
cock	-0.6	1.49666	[0, 0, -4, 0, 0, 1, 0, -3, 0, 0]
cocksucker	-3.1	0.83066	[-3, -4, -2, -2, -4, -4, -4, -2, -3, -3]
cocksuckers	-2.6	1.42829	[-4, -3, -4, -3, -3, 1, -3, -1, -3, -3]
cocky	-0.5	1.0247	[2, 0, -1, 0, -1, -2, 0, -1, -1, -1]
coerced	-1.5	0.67082	[-1, -2, -2, -2, -1, 0, -1, -2, -2, -2]
collapse	-2.2	0.87178	[-3, -1, -2, -4, -3, -2, -2, -2, -1, -2]
collapsed	-1.1	1.64012	[-1, -2, -2, -1, -2, -2, 2, 2, -3, -2]
collapses	-1.2	0.87178	[-2, -1, -2, 0, -2, 0, 0, -2, -1, -2]
collapsing	-1.2	0.6	[-1, -1, -2, -2, -2, -1, 0, -1, -1, -1]
collide	-0.3	1.61555	[-3, 0, -1, 3, 0, -1, -1, 2, -1, -1]
collides	-1.1	1.22066	[-2, -2, -1, -1, 0, -2, 2, -2, -1, -2]
colliding	-0.5	1.36015	[-2, 2, -1, -1, 0, -1, -2, 2, -1, -1]
collision	-1.5	0.67082	[-1, -1, -2, -1, -2, -1, -1, -3, -2, -1]
collisions	-1.1	0.7	[0, -2, -1, 0, -1, -1, -2, -2, -1, -1]
colluding	-1.2	1.32665	[-1, -1, -2, -2, 0, -3, 2, -2, -1, -2]
combat	-1.4	1.0198	[0, -2, 0, -2, -2, -2, -1, -3, 0, -2]
combats	-0.8	1.16619	[0, -2, -3, -1, 0, 0, 0, -1, 1, -2]
comedian	1.6	1.0198	[1, 0, 2, 3, 2, 0, 3, 1, 2, 2]
comedians	1.2	1.16619	[0, 0, 0, 2, 3, 1, 3, 2, 0, 1]
comedic	1.7	0.64031	[2, 1, 1, 3, 1, 2, 2, 2, 1, 2]
comedically	2.1	0.7	[3, 2, 2, 1, 2, 3, 3, 2, 1, 2]
comedienne	0.6	0.66332	[0, 2, 1, 0, 1, 1, 0, 1, 0, 0]
comediennes	1.6	1.11355	[2, 1, 3, 0, 0, 3, 1, 1, 2, 3]
comedies	1.7	1.00499	[0, 2, 1, 3, 3, 3, 1, 1, 2, 1]
comedo	0.3	0.9	[0, 0, 0, 0, -1, 0, 2, 0, 2, 0]
comedones	-0.8	0.9798	[0, 0, 0, -1, 0, -3, 0, -1, -1, -2]
comedown	-0.8	1.07703	[-1, -1, -1, 0, -2, -1, 2, -1, -2, -1]
comedowns	-0.9	0.53852	[-1, -1, -1, -1, 0, -2, 0, -1, -1, -1]
comedy	1.5	0.67082	[1, 1, 2, 1, 3, 2, 1, 1, 2, 1]
comfort	1.5	0.67082	[1, 3, 1, 2, 1, 1, 2, 1, 1, 2]
comfortable	2.3	0.64031	[1, 2, 3, 2, 2, 3, 3, 3, 2, 2]
comfortableness	1.3	1.48661	[4, 2, 2, 3, 1, 1, 1, -1, -1, 1]
comfortably	1.8	0.74833	[1, 2, 2, 1, 3, 3, 1, 2, 1, 2]
comforted	1.8	0.6	[2, 2, 2, 0, 2, 2, 2, 2, 2, 2]
comforter	1.9	0.53852	[2, 3, 2, 2, 2, 1, 2, 2, 2, 1]
comforters	1.2	0.6	[2, 1, 0, 2, 1, 1, 2, 1, 1, 1]
comforting	1.7	0.64031	[1, 2, 1, 1, 2, 2, 2, 3, 2, 1]
comfortingly	1.7	0.45826	[1, 2, 1, 2, 2, 1, 2, 2, 2, 2]
comfortless	-1.8	0.6	[-3, -2, -1, -2, -1, -2, -1, -2, -2, -2]
comforts	2.1	0.7	[3, 1, 3, 1, 2, 2, 3, 2, 2, 2]
commend	1.9	0.7	[1, 2, 2, 1, 2, 1, 2, 3, 2, 3]
commended	1.9	0.9434	[1, 3, 2, 3, 2, 2, 0, 1, 3, 2]
commit	1.2	0.87178	[1, 0, 2, 2, 0, 0, 2, 2, 1, 2]
commitment	1.6	0.91652	[3, 1, 2, 0, 3, 1, 2, 1, 2, 1]
commitments	0.5	0.92195	[1, 3, 0, 0, 0, 0, 0, 0, 0, 1]
commits	0.1	1.13578	[0, -1, 0, 2, 1, -1, 1, 1, -2, 0]
committed	1.1	0.7	[0, 1, 1, 2, 0, 2, 1, 1, 2, 1]
committing	0.3	1.18743	[0, 1, 0, 3, 0, -2, 1, 0, 0, 0]
compassion	2.0	0.7746	[3, 2, 1, 1, 2, 1, 3, 2, 2, 3]
compassionate	2.2	0.87178	[0, 3, 3, 2, 2, 3, 3, 2, 2, 2]
compassionated	1.6	0.66332	[3, 1, 2, 2, 1, 2, 2, 1, 1, 1]
compassionately	1.7	1.41774	[1, 3, 3, 2, 1, 2, 3, 2, -2, 2]
compassionateness	0.9	1.37477	[-3, 2, 2, 1, 1, 1, 2, 1, 1, 1]
compassionates	1.6	0.4899	[2, 1, 2, 2, 1, 2, 2, 1, 1, 2]
compassionating	1.6	0.91652	[3, 0, 2, 1, 3, 1, 2, 1, 2, 1]
compassionless	-2.6	0.8	[-3, -2, -2, -3, -4, -3, -1, -2, -3, -3]
compelled	0.2	1.07703	[-1, 0, 0, 0, 1, 2, -1, -1, 2, 0]
compelling	0.9	0.94339	[1, 1, 1, 0, 1, 2, 2, -1, 2, 0]
competent	1.3	0.78102	[1, 3, 1, 1, 2, 1, 1, 0, 2, 1]
competitive	0.7	0.9	[0, 2, 0, 2, 0, 1, 0, 0, 0, 2]
complacent	-0.3	1.1	[2, -1, -1, 1, -1, -1, -1, 1, -1, -1]
complain	-1.5	0.67082	[-1, -1, -1, -2, -1, -2, -3, -2, -1, -1]
complainant	-0.7	0.78102	[0, 0, -1, 0, 0, -2, 0, -1, -2, -1]
complainants	-1.1	1.3	[-2, -1, 0, -2, -3, -2, -1, 1, -2, 1]
complained	-1.7	0.64031	[-1, -3, -2, -2, -1, -1, -2, -2, -1, -2]
complainer	-1.8	0.4	[-2, -2, -2, -2, -1, -2, -2, -2, -1, -2]
complainers	-1.3	1.00499	[-2, -1, -1, -2, -3, 1, -1, -1, -2, -1]
complaining	-0.8	1.249	[-2, -1, -1, -1, -2, -1, -1, 2, 1, -2]
complainingly	-1.7	0.64031	[-1, -2, -1, -2, -1, -2, -1, -2, -3, -2]
complains	-1.6	0.66332	[-1, -2, -1, -2, -2, -3, -1, -1, -1, -2]
complaint	-1.2	1.249	[-1, -1, -2, -2, -1, -3, -1, -1, 2, -2]
complaints	-1.7	0.45826	[-2, -2, -2, -1, -2, -2, -2, -1, -1, -2]
compliment	2.1	0.7	[2, 2, 3, 1, 2, 3, 3, 1, 2, 2]
complimentarily	1.7	0.45826	[2, 2, 2, 2, 1, 1, 2, 1, 2, 2]
complimentary	1.9	0.7	[1, 2, 2, 1, 2, 1, 2, 3, 3, 2]
complimented	1.8	1.4	[3, 2, 2, 2, 3, 2, -2, 3, 1, 2]
complimenting	2.3	0.64031	[2, 2, 1, 3, 3, 2, 2, 3, 3, 2]
compliments	1.7	0.45826	[2, 1, 2, 2, 1, 2, 2, 1, 2, 2]
comprehensive	1.0	0.63246	[1, 1, 1, 0, 2, 2, 1, 0, 1, 1]
conciliate	1.0	1.18322	[2, 1, 1, 0, 2, 2, -2, 2, 1, 1]
conciliated	1.1	0.9434	[1, 3, 0, 0, 2, 0, 2, 1, 1, 1]
conciliates	1.1	0.9434	[1, 3, 0, 0, 2, 0, 2, 1, 1, 1]
conciliating	1.3	0.78102	[2, 2, 1, 1, 2, 0, 2, 1, 2, 0]
condemn	-1.6	1.0198	[-2, -2, -1, -2, -2, 1, -2, -3, -1, -2]
condemnation	-2.8	0.9798	[-3, -4, -2, -4, -2, -4, -2, -1, -3, -3]
condemned	-1.9	1.81384	[2, -2, -2, -3, -2, -3, -3, -4, 1, -3]
condemns	-2.3	0.64031	[-2, -2, -3, -3, -3, -2, -2, -3, -1, -2]
confidence	2.3	0.64031	[3, 3, 3, 3, 1, 2, 2, 2, 2, 2]
confident	2.2	0.87178	[1, 3, 3, 2, 3, 1, 3, 2, 1, 3]
confidently	2.1	0.53852	[2, 2, 3, 1, 2, 2, 2, 2, 3, 2]
conflict	-1.3	0.45826	[-2, -2, -1, -2, -1, -1, -1, -1, -1, -1]
conflicting	-1.7	0.64031	[-1, -2, -3, -1, -2, -1, -2, -1, -2, -2]
conflictive	-1.8	0.6	[-2, -2, -2, -2, -1, -1, -3, -2, -1, -2]
conflicts	-1.6	0.8	[-1, -1, -1, -2, -1, -1, -3, -2, -1, -3]
confront	-0.7	0.78102	[0, -1, -1, 0, 1, -1, -1, -2, -1, -1]
confrontation	-1.3	1.55242	[-3, -2, -3, -2, -1, -2, 1, 2, -1, -2]
confrontational	-1.6	0.66332	[-1, -2, -1, -2, -1, -2, -1, -2, -3, -1]
confrontationist	-1.0	1.34164	[-1, -2, -2, 2, 1, -1, -2, -1, -2, -2]
confrontationists	-1.2	1.46969	[-2, -3, -1, -2, 2, 1, -1, -2, -2, -2]
confrontations	-1.5	1.0247	[-1, -3, -2, -1, -3, 0, -2, -2, 0, -1]
confronted	-0.8	0.74833	[-1, -2, -1, -1, -1, -1, -1, -1, 1, 0]
confronter	-0.3	1.1	[0, -2, 1, -2, 0, -1, -1, 0, 1, 1]
confronters	-1.3	1.26886	[-3, -2, -2, -2, -1, -2, 1, 1, -1, -2]
confronting	-0.6	1.11355	[-2, -1, -1, 0, -2, 2, -1, 0, 0, -1]
confronts	-0.9	0.53852	[-1, -1, -1, -1, 0, -1, 0, -1, -2, -1]
confuse	-0.9	0.3	[-1, -1, -1, -1, -1, -1, -1, -1, 0, -1]
confused	-1.3	0.45826	[-1, -2, -1, -1, -1, -1, -1, -1, -2, -2]
confusedly	-0.6	1.42829	[-3, -1, -1, 1, -1, -1, -2, 2, 1, -1]
confusedness	-1.5	0.67082	[-3, -1, -1, -2, -1, -2, -2, -1, -1, -1]
confuses	-1.3	0.45826	[-1, -2, -1, -1, -1, -1, -1, -1, -2, -2]
confusing	-0.9	0.7	[-1, -1, -1, -2, -1, -1, 1, -1, -1, -1]
confusingly	-1.4	0.66332	[-1, -1, -1, -1, -3, -1, -2, -1, -1, -2]
confusion	-1.2	0.6	[-1, -1, -1, -1, -1, -2, 0, -1, -2, -2]
confusional	-1.2	0.6	[-2, -2, 0, -1, -2, -1, -1, -1, -1, -1]
confusions	-0.9	1.04403	[-1, -2, -1, -1, -1, 2, -2, -1, -1, -1]
congrats	2.4	0.91652	[1, 3, 3, 3, 2, 2, 4, 1, 2, 3]
congratulate	2.2	1.249	[3, 3, 2, 3, -1, 2, 1, 3, 3, 3]
congratulation	2.9	0.9434	[3, 3, 3, 2, 4, 2, 4, 3, 4, 1]
congratulations	2.9	0.53852	[2, 3, 3, 3, 3, 3, 3, 3, 4, 2]
consent	0.9	0.7	[0, 0, 1, 1, 1, 2, 1, 2, 0, 1]
consents	1.0	0.63246	[0, 2, 1, 0, 1, 1, 1, 2, 1, 1]
considerate	1.9	1.22066	[2, -1, 3, 2, 2, 2, 4, 1, 2, 2]
consolable	1.1	0.53852	[1, 1, 2, 1, 0, 1, 1, 1, 2, 1]
conspiracy	-2.4	0.66332	[-2, -2, -3, -3, -2, -2, -4, -2, -2, -2]
constrained	-0.4	1.0198	[-1, 0, -1, -1, -1, -1, 2, -1, 1, -1]
contagion	-2.0	1.18322	[-1, 0, -2, -1, -2, -4, -2, -4, -2, -2]
contagions	-1.5	0.92195	[-2, -2, -2, -2, 1, -2, -1, -1, -2, -2]
contagious	-1.4	0.91652	[-2, -2, -2, 0, -1, -1, -2, 0, -1, -3]
contempt	-2.8	0.6	[-3, -3, -4, -2, -3, -2, -3, -3, -2, -3]
contemptibilities	-2.0	1.09545	[-2, 1, -2, -2, -3, -3, -3, -2, -2, -2]
contemptibility	-0.9	1.51327	[-2, -1, -3, -1, 0, -3, -1, 1, 2, -1]
contemptible	-1.6	1.68523	[-2, -2, -3, -3, -2, -3, -1, -3, 1, 2]
contemptibleness	-1.9	0.7	[-2, -2, -1, -2, -2, -1, -1, -2, -3, -3]
contemptibly	-1.4	1.49666	[-3, 0, -2, -3, -2, -2, -1, -3, 1, 1]
contempts	-1.0	1.48324	[-2, -2, -1, 0, 1, -1, -2, -3, 2, -2]
contemptuous	-2.2	1.83303	[-2, -3, -4, -2, -3, -3, 3, -2, -3, -3]
contemptuously	-2.4	0.8	[-1, -3, -2, -3, -3, -2, -1, -3, -3, -3]
contemptuousness	-1.1	1.57797	[-3, -1, -2, 3, -2, 0, -1, -1, -2, -2]
contend	0.2	1.07703	[0, 0, 1, 1, -2, 1, -1, 0, 2, 0]
contender	0.5	1.0247	[1, 3, -1, 0, 0, 1, 0, 1, 0, 0]
contented	1.4	1.56205	[1, 1, 3, 2, 2, 2, -3, 2, 2, 2]
contentedly	1.9	0.9434	[3, 1, 2, 3, 2, 3, 0, 2, 1, 2]
contentedness	1.4	0.4899	[1, 2, 1, 1, 2, 2, 2, 1, 1, 1]
contentious	-1.2	1.4	[-2, -2, -2, -2, -2, -2, -1, 2, 1, -2]
contentment	1.5	1.74642	[2, 1, 3, 2, 2, 1, 2, 4, 1, -3]
contestable	0.6	1.0198	[2, -1, 1, 0, 1, -1, 1, 1, 2, 0]
contradict	-1.3	0.78102	[-2, -1, -1, 0, -2, 0, -1, -2, -2, -2]
contradictable	-1.0	0.63246	[-1, -1, -2, 0, -1, -1, 0, -1, -1, -2]
contradicted	-1.3	0.45826	[-1, -1, -1, -1, -2, -1, -2, -1, -1, -2]
contradicting	-1.3	0.9	[-2, -2, -2, -1, -2, -1, 1, -1, -1, -2]
contradiction	-1.0	0.89443	[-1, 0, 0, -1, 0, -3, -2, -1, -1, -1]
contradictions	-1.3	0.78102	[0, -2, -1, -2, -1, -2, -1, 0, -2, -2]
contradictious	-1.9	1.04403	[-2, -3, 0, -3, -3, -1, -2, -1, -1, -3]
contradictor	-1.0	0.63246	[-1, -1, -1, -2, -1, -2, 0, 0, -1, -1]
contradictories	-0.5	1.11803	[-1, 0, -1, -2, 2, 1, -1, -1, -1, -1]
contradictorily	-0.9	1.3	[0, -1, -1, -1, -3, -1, 1, 1, -3, -1]
contradictoriness	-1.4	0.4899	[-2, -1, -1, -1, -2, -1, -1, -2, -2, -1]
contradictors	-1.6	0.66332	[-1, -2, -1, -2, -1, -1, -3, -1, -2, -2]
contradictory	-1.4	0.4899	[-1, -2, -1, -2, -1, -1, -1, -1, -2, -2]
contradicts	-1.4	0.66332	[-1, -2, -1, -2, -2, -2, 0, -1, -1, -2]
controversial	-0.8	0.87178	[0, 0, -1, 1, -2, -1, -1, -1, -1, -2]
controversially	-1.1	1.04403	[0, -1, -1, -2, -1, -2, -1, 1, -3, -1]
convince	1.0	0.89443	[-1, 2, 2, 1, 1, 0, 1, 1, 2, 1]
convinced	1.7	0.64031	[2, 1, 1, 2, 1, 2, 2, 2, 1, 3]
convincer	0.6	0.66332	[2, 0, 1, 0, 1, 1, 0, 0, 0, 1]
convincers	0.3	0.64031	[0, 0, 0, 0, 0, 1, 0, 0, 0, 2]
convinces	0.7	0.78102	[1, 0, 2, 0, 1, 0, 0, 0, 1, 2]
convincing	1.7	0.9	[2, 2, 0, 3, 3, 1, 1, 2, 2, 1]
convincingly	1.6	0.66332	[3, 2, 1, 1, 1, 2, 2, 1, 2, 1]
convincingness	0.7	1.34536	[0, 0, 0, 1, -2, 2, 0, 3, 1, 2]
convivial	1.2	1.16619	[1, 2, -2, 2, 1, 2, 2, 1, 2, 1]
cool	1.3	0.64031	[1, 1, 2, 1, 1, 1, 2, 2, 2, 0]
cornered	-1.1	0.83066	[-1, -1, -3, -1, 0, -1, 0, -1, -2, -1]
corpse	-2.7	1.18743	[-3, -4, 0, -4, -3, -3, -3, -1, -3, -3]
costly	-0.4	1.0198	[-1, 0, -1, -1, 2, -1, -1, 1, -1, -1]
courage	2.2	0.74833	[2, 3, 1, 2, 3, 2, 3, 3, 1, 2]
courageous	2.4	0.4899	[2, 3, 3, 3, 3, 2, 2, 2, 2, 2]
courageously	2.3	0.78102	[3, 3, 3, 1, 3, 3, 2, 2, 2, 1]
courageousness	2.1	0.7	[3, 3, 1, 2, 1, 2, 2, 2, 3, 2]
courteous	2.3	0.45826	[2, 2, 2, 3, 3, 2, 3, 2, 2, 2]
courtesy	1.5	0.67082	[1, 1, 2, 3, 1, 2, 1, 1, 2, 1]
cover-up	-1.2	1.16619	[-1, -1, -4, -1, 0, 0, -2, 0, -1, -2]
coward	-2.0	0.63246	[-3, -3, -1, -2, -2, -1, -2, -2, -2, -2]
cowardly	-1.6	0.8	[-1, -1, -1, -3, -1, -2, -3, -2, -1, -1]
coziness	1.5	1.11803	[2, 3, 1, 3, 1, 2, 2, -1, 1, 1]
cramp	-0.8	1.66132	[0, -1, -1, -3, -3, 1, -2, 1, -2, 2]
crap	-1.6	0.66332	[-1, -1, -2, -2, -1, -2, -3, -1, -1, -2]
crappy	-2.6	0.8	[-1, -3, -3, -2, -3, -4, -2, -2, -3, -3]
crash	-1.7	1.18743	[-2, -3, -2, -1, -2, 0, 0, -1, -4, -2]
craze	-0.6	1.49666	[0, -3, -1, -1, -2, 0, 0, -1, 3, -1]
crazed	-0.5	2.24722	[-2, -1, 3, -3, -3, 1, 1, -1, 3, -3]
crazes	0.2	1.6	[-2, -1, 3, -1, -1, 1, 2, 0, 2, -1]
crazier	-0.1	1.7	[2, -2, -2, 0, -1, 1, 3, 1, -1, -2]
craziest	-0.2	2.13542	[2, -2, -3, 3, -2, 0, 2, 2, -2, -2]
crazily	-1.5	0.67082	[-2, -1, -1, -2, -1, -3, -2, -1, -1, -1]
craziness	-1.6	0.66332	[-2, 0, -2, -1, -2, -1, -2, -2, -2, -2]
crazinesses	-1.0	1.48324	[1, -2, -2, 2, -1, 0, -2, -1, -3, -2]
crazing	-0.5	0.80623	[0, 0, 0, 0, -2, -1, -2, 0, 0, 0]
crazy	-1.4	1.35647	[-2, -1, -1, -2, -3, -2, -3, -1, 2, -1]
crazyweed	0.8	0.9798	[2, 0, 0, 0, 0, 2, 2, 0, 2, 0]
create	1.1	1.13578	[1, 1, 1, 2, 3, 0, 0, 0, 3, 0]
created	1.0	0.7746	[2, 0, 0, 1, 1, 2, 0, 1, 1, 2]
creates	1.1	0.83066	[2, 0, 0, 1, 1, 2, 0, 1, 2, 2]
creatin	0.1	0.53852	[0, 0, 0, 1, 0, 0, 0, 1, -1, 0]
creatine	0.2	0.6	[0, 0, 0, 0, 0, 0, 0, 0, 0, 2]
creating	1.2	1.249	[0, 0, 0, 0, 4, 1, 1, 2, 2, 2]
creatinine	0.4	1.2	[0, 0, 0, 4, 0, 0, 0, 0, 0, 0]
creation	1.1	0.83066	[2, 1, 1, 2, 0, 0, 0, 1, 2, 2]
creationism	0.7	0.9	[2, 0, 0, 0, 0, 0, 2, 0, 2, 1]
creationisms	1.1	1.37477	[2, 4, 0, 3, 0, 0, 1, 1, 0, 0]
creationist	0.8	0.9798	[2, 0, 0, 0, 0, 0, 2, 0, 2, 2]
creationists	0.5	0.67082	[0, 0, 0, 1, 1, 0, 2, 0, 1, 0]
creations	1.6	0.91652	[3, 2, 1, 1, 1, 3, 1, 2, 2, 0]
creative	1.9	0.53852	[2, 1, 2, 2, 2, 1, 3, 2, 2, 2]
creatively	1.5	0.80623	[2, 2, 1, 0, 2, 2, 2, 0, 2, 2]
creativeness	1.8	1.07703	[3, 2, 1, 0, 2, 2, 2, 0, 3, 3]
creativities	1.7	1.00499	[2, 2, 1, 0, 3, 2, 2, 0, 2, 3]
creativity	1.6	0.8	[2, 1, 2, 2, 3, 2, 0, 2, 1, 1]
credit	1.6	0.91652	[1, 1, 0, 2, 3, 3, 2, 2, 1, 1]
creditabilities	1.4	1.28062	[0, 3, -1, 2, 2, 2, 1, 2, 0, 3]
creditability	1.9	1.3	[3, 0, 4, 0, 1, 1, 3, 2, 2, 3]
creditable	1.8	0.6	[2, 1, 1, 1, 2, 2, 3, 2, 2, 2]
creditableness	1.2	0.74833	[1, 1, 1, 3, 2, 1, 0, 1, 1, 1]
creditably	1.7	0.78102	[3, 1, 1, 0, 2, 2, 2, 2, 2, 2]
credited	1.5	1.11803	[1, 1, 1, 0, 3, 2, 0, 3, 1, 3]
crediting	0.6	0.4899	[1, 0, 0, 0, 1, 1, 1, 0, 1, 1]
creditor	-0.1	1.44568	[-2, -1, 1, -2, -1, 1, 2, -1, 2, 0]
credits	1.5	1.0247	[2, -1, 2, 0, 2, 2, 2, 2, 2, 2]
creditworthiness	1.9	1.3	[4, 0, 3, 1, 2, 1, 4, 2, 1, 1]
creditworthy	2.4	0.66332	[3, 3, 3, 1, 2, 3, 3, 2, 2, 2]
crestfallen	-2.5	0.67082	[-2, -3, -3, -2, -3, -2, -4, -2, -2, -2]
cried	-1.6	0.8	[-1, -3, -1, -2, -2, -2, 0, -2, -1, -2]
cries	-1.7	0.64031	[-1, -3, -1, -2, -2, -2, -1, -2, -1, -2]
crime	-2.5	0.80623	[-3, -3, -4, -2, -2, -1, -2, -2, -3, -3]
criminal	-2.4	0.91652	[-3, -2, -4, -3, -1, -2, -3, -2, -1, -3]
criminals	-2.7	0.9	[-2, -2, -1, -3, -3, -4, -4, -3, -2, -3]
crisis	-3.1	0.7	[-3, -2, -4, -3, -3, -2, -4, -4, -3, -3]
critic	-1.1	0.53852	[-1, 0, -2, -1, -1, -1, -1, -1, -2, -1]
critical	-1.3	0.78102	[-2, 0, -1, -1, -1, -2, -1, -3, -1, -1]
criticise	-1.9	0.53852	[-2, -1, -2, -2, -2, -2, -3, -1, -2, -2]
criticised	-1.8	0.4	[-2, -2, -1, -2, -2, -2, -1, -2, -2, -2]
criticises	-1.3	1.26886	[-2, -1, -1, -1, 2, -1, -3, -2, -2, -2]
criticising	-1.7	0.78102	[-1, -1, -1, -3, -1, -2, -2, -2, -1, -3]
criticism	-1.9	0.53852	[-2, -1, -2, -2, -2, -2, -3, -1, -2, -2]
criticisms	-0.9	1.37477	[-1, -1, 1, -1, -2, -2, -1, -3, 2, -1]
criticizable	-1.0	0.63246	[-1, -2, 0, -1, -2, -1, 0, -1, -1, -1]
criticize	-1.6	1.0198	[-2, -1, 0, -2, -1, -3, 0, -3, -2, -2]
criticized	-1.5	0.92195	[-1, -2, -3, -1, -1, -1, -3, -1, -2, 0]
criticizer	-1.5	0.67082	[-1, -2, -2, -1, -1, -1, -3, -1, -2, -1]
criticizers	-1.6	0.4899	[-1, -1, -1, -2, -2, -2, -1, -2, -2, -2]
criticizes	-1.4	0.66332	[-1, -1, -2, -1, -1, -1, -3, -1, -2, -1]
criticizing	-1.5	0.67082	[-1, -1, -1, -2, -2, -1, -2, -1, -3, -1]
critics	-1.2	0.6	[-2, 0, -1, -1, -1, -1, -2, -1, -2, -1]
crude	-2.7	0.64031	[-2, -2, -3, -4, -2, -3, -3, -2, -3, -3]
crudely	-1.2	0.4	[-1, -2, -2, -1, -1, -1, -1, -1, -1, -1]
crudeness	-2.0	0.7746	[-3, -1, -1, -1, -3, -2, -3, -2, -2, -2]
crudenesses	-2.0	1.0	[-3, -1, -1, -2, -4, -1, -1, -2, -2, -3]
cruder	-2.0	0.89443	[-3, -2, -2, -1, -1, -2, -2, -1, -4, -2]
crudes	-1.1	0.83066	[-2, -1, -1, -1, 0, 0, -1, -1, -3, -1]
crudest	-2.4	1.0198	[-2, -1, -3, -3, -2, -1, -4, -4, -2, -2]
cruel	-2.8	1.16619	[-2, -4, -1, -4, -1, -4, -2, -3, -3, -4]
crueler	-2.3	0.45826	[-2, -3, -2, -2, -2, -3, -2, -2, -3, -2]
cruelest	-2.6	0.8	[-4, -3, -2, -4, -2, -2, -2, -2, -2, -3]
crueller	-2.4	0.4899	[-2, -3, -3, -3, -2, -2, -3, -2, -2, -2]
cruellest	-2.9	1.04403	[-2, -3, -4, -4, -4, -3, -1, -2, -2, -4]
cruelly	-2.8	0.4	[-3, -3, -3, -3, -3, -3, -2, -2, -3, -3]
cruelness	-2.9	0.3	[-3, -3, -3, -3, -3, -3, -3, -3, -2, -3]
cruelties	-2.3	1.00499	[-4, -3, -2, -1, -2, -2, -1, -4, -2, -2]
cruelty	-2.9	0.83066	[-3, -3, -3, -3, -4, -3, -1, -3, -4, -2]
crush	-0.6	1.11355	[0, 0, 0, -1, 1, 0, -2, -3, -1, 0]
crushed	-1.8	0.6	[-2, -2, -2, -1, -2, -1, -1, -3, -2, -2]
crushes	-1.9	0.53852	[-2, -2, -2, -2, -2, -1, -1, -3, -2, -2]
crushing	-1.5	1.85742	[-2, -3, -1, -3, 2, -2, -2, -3, 2, -3]
cry	-2.1	0.53852	[-2, -2, -2, -1, -2, -2, -3, -3, -2, -2]
crying	-2.1	0.7	[-3, -1, -2, -2, -3, -2, -3, -2, -1, -2]
cunt	-2.2	2.08806	[-4, -1, -4, -2, 2, -4, -4, -3, 1, -3]
cunts	-2.9	1.44568	[-3, -4, -3, -4, -4, -4, -3, 1, -3, -2]
curious	1.3	0.78102	[0, 1, 0, 2, 2, 2, 1, 1, 2, 2]
curse	-2.5	0.67082	[-3, -3, -4, -2, -2, -3, -2, -2, -2, -2]
cut	-1.1	0.53852	[-2, -1, -1, -1, 0, -1, -1, -1, -2, -1]
cute	2.0	0.63246	[1, 3, 1, 2, 2, 2, 2, 3, 2, 2]
cutely	1.3	1.00499	[3, 1, 1, 2, 2, 1, 1, 2, -1, 1]
cuteness	2.3	0.45826	[2, 2, 2, 3, 2, 3, 3, 2, 2, 2]
cutenesses	1.9	0.53852	[1, 2, 2, 1, 3, 2, 2, 2, 2, 2]
cuter	2.3	0.9	[1, 2, 3, 4, 1, 2, 2, 3, 3, 2]
cutes	1.8	0.87178	[1, 2, 3, 0, 1, 2, 2, 2, 3, 2]
cutesie	1.0	1.18322	[2, 2, 1, 1, 0, 2, 2, -1, 2, -1]
cutesier	1.5	1.20416	[3, -1, 2, 1, 1, 2, 2, 3, 0, 2]
cutesiest	2.2	1.4	[3, 3, 4, 2, 2, 4, 2, -1, 2, 1]
cutest	2.8	0.87178	[2, 3, 3, 4, 4, 3, 1, 3, 2, 3]
cutesy	2.1	0.83066	[2, 1, 2, 2, 4, 3, 1, 2, 2, 2]
cutey	2.1	1.04403	[1, 2, 3, 4, 1, 1, 3, 2, 3, 1]
cuteys	1.5	1.0247	[3, 2, 2, 0, 1, 2, 1, 1, 3, 0]
cutie	1.5	0.80623	[3, 1, 1, 2, 1, 1, 1, 3, 1, 1]
cutiepie	2.0	1.09545	[3, 1, 2, 4, 0, 2, 1, 3, 2, 2]
cuties	2.2	0.6	[3, 2, 2, 2, 3, 1, 2, 2, 3, 2]
cuts	-1.2	0.6	[-1, -2, -1, 0, -1, -1, -2, -2, -1, -1]
cutting	-0.5	0.67082	[0, -1, 0, 0, 0, -1, -1, -2, 0, 0]
cynic	-1.4	0.8	[-1, -2, -1, 0, -2, -3, -1, -1, -1, -2]
cynical	-1.6	0.66332	[-1, -1, -2, -2, -1, -1, -2, -2, -1, -3]
cynically	-1.3	1.00499	[-2, -1, -1, -1, -3, -2, -1, -2, 1, -1]
cynicism	-1.7	0.64031	[-2, -3, -1, -1, -2, -1, -2, -1, -2, -2]
cynicisms	-1.7	0.78102	[-1, -1, -3, -1, -2, -3, -1, -2, -2, -1]
cynics	-0.3	1.1	[-1, 0, -2, 0, 0, -1, 1, -1, 2, -1]
d-:	1.6	0.66332	[1, 1, 1, 2, 2, 3, 1, 1, 2, 2]
d:	1.2	0.87178	[1, 1, 1, 2, 1, 1, 2, 2, -1, 2]
d=	1.5	0.67082	[1, 1, 1, 2, 3, 2, 1, 1, 1, 2]
damage	-2.2	0.4	[-2, -3, -2, -2, -3, -2, -2, -2, -2, -2]
damaged	-1.9	0.53852	[-2, -2, -2, -1, -2, -1, -2, -2, -3, -2]
damager	-1.9	0.53852	[-2, -2, -2, -2, -2, -1, -2, -2, -3, -1]
damagers	-2.0	0.63246	[-2, -3, -1, -2, -2, -1, -3, -2, -2, -2]
damages	-1.9	1.04403	[-1, 0, -2, -2, -2, -4, -2, -1, -3, -2]
damaging	-2.3	0.9	[-4, -1, -2, -4, -2, -2, -2, -2, -2, -2]
damagingly	-2.0	0.7746	[-2, -2, -2, -2, -1, -3, -3, -1, -3, -1]
damn	-1.7	0.64031	[-2, -1, -2, -1, -1, -3, -1, -2, -2, -2]
damnable	-1.7	0.45826	[-2, -1, -2, -2, -1, -2, -1, -2, -2, -2]
damnableness	-1.8	0.74833	[-2, -2, -2, -2, -1, -2, -2, 0, -3, -2]
damnably	-1.7	0.45826	[-2, -1, -2, -2, -1, -2, -1, -2, -2, -2]
damnation	-2.6	1.0198	[-3, -2, -3, -4, -4, -3, -1, -2, -1, -3]
damnations	-1.4	1.11355	[-2, -1, -2, -3, -2, 0, -1, 1, -2, -2]
damnatory	-2.6	1.42829	[-4, -1, -4, -2, -1, -3, -3, 0, -4, -4]
damned	-1.6	0.66332	[-1, -1, -3, -1, -2, -2, -1, -2, -1, -2]
damnedest	-0.5	1.5	[1, 0, 0, 0, -1, -1, 0, 2, -3, -3]
damnified	-2.8	0.9798	[-1, -3, -3, -2, -2, -3, -4, -4, -2, -4]
damnifies	-1.8	0.87178	[-2, -2, -1, -2, -3, -2, -2, 0, -1, -3]
damnify	-2.2	0.74833	[-2, -2, -4, -2, -3, -2, -1, -2, -2, -2]
damnifying	-2.4	0.66332	[-3, -1, -2, -2, -2, -2, -3, -3, -3, -3]
damning	-1.4	0.8	[-1, -3, -1, -1, -1, -1, -3, -1, -1, -1]
damningly	-2.0	1.61245	[-3, -2, -1, -4, -3, -3, -3, -2, 2, -1]
damnit	-2.4	1.0198	[-3, -3, -2, -2, -3, -2, -4, -2, 0, -3]
damns	-2.2	0.74833	[-2, -3, -2, -1, -3, -2, -1, -2, -3, -3]
danger	-2.4	0.91652	[-3, -1, -2, -3, -3, -3, -2, -1, -2, -4]
dangered	-2.4	0.66332	[-3, -3, -2, -3, -3, -2, -1, -2, -3, -2]
dangering	-2.5	0.80623	[-1, -2, -2, -3, -4, -3, -3, -2, -2, -3]
dangerous	-2.1	0.3	[-2, -3, -2, -2, -2, -2, -2, -2, -2, -2]
dangerously	-2.0	0.44721	[-2, -2, -2, -1, -2, -3, -2, -2, -2, -2]
dangerousness	-2.0	0.44721	[-2, -3, -2, -1, -2, -2, -2, -2, -2, -2]
dangers	-2.2	0.87178	[-1, -1, -2, -4, -2, -3, -3, -2, -2, -2]
daredevil	0.5	0.92195	[0, 1, -1, 2, 0, 0, 1, 0, 0, 2]
daring	1.5	1.5	[3, 0, 1, 1, 2, -2, 3, 2, 2, 3]
daringly	2.1	0.7	[3, 1, 2, 1, 3, 2, 2, 3, 2, 2]
daringness	1.4	0.8	[0, 2, 1, 3, 1, 2, 2, 1, 1, 1]
darings	0.4	0.91652	[0, 1, 1, 1, 0, 1, 0, 1, -2, 1]
darkest	-2.2	0.6	[-3, -3, -2, -2, -3, -2, -1, -2, -2, -2]
darkness	-1.0	0.44721	[-2, -1, -1, -1, -1, 0, -1, -1, -1, -1]
darling	2.8	0.6	[3, 3, 2, 2, 3, 3, 4, 2, 3, 3]
darlingly	1.6	0.66332	[1, 1, 2, 3, 1, 1, 2, 2, 2, 1]
darlingness	2.3	0.45826	[3, 3, 2, 2, 2, 2, 2, 2, 3, 2]
darlings	2.2	0.4	[3, 2, 2, 2, 2, 2, 2, 2, 3, 2]
dauntless	2.3	0.78102	[3, 3, 2, 1, 3, 3, 2, 1, 2, 3]
daze	-0.7	0.78102	[-1, 0, -1, -1, 1, -1, -1, 0, -1, -2]
dazed	-0.7	0.64031	[0, -1, -1, 0, -1, -1, 0, -1, 0, -2]
dazedly	-0.4	1.0198	[-1, -1, -1, -1, -1, 2, -1, 1, 0, -1]
dazedness	-0.5	1.11803	[-1, 2, 0, -1, -1, -1, 1, -2, -1, -1]
dazes	-0.3	0.78102	[0, -1, 0, 0, 0, -1, 0, 1, 0, -2]
dead	-3.3	1.00499	[-4, -4, -1, -4, -4, -3, -4, -2, -3, -4]
deadlock	-1.4	0.8	[-2, -2, -1, -3, -1, 0, -2, -1, -1, -1]
deafening	-1.2	1.6	[-4, -2, 0, -3, 1, -2, 1, -2, -1, 0]
dear	1.6	1.35647	[3, 3, 2, 2, 2, 2, 1, -2, 1, 2]
dearer	1.9	0.7	[2, 2, 1, 2, 1, 1, 2, 3, 2, 3]
dearest	2.6	0.8	[1, 2, 3, 3, 2, 2, 3, 3, 4, 3]
dearie	2.2	0.6	[2, 2, 2, 3, 2, 1, 3, 2, 3, 2]
dearies	1.0	1.0	[0, 1, 2, -1, 1, 1, 1, 1, 1, 3]
dearly	1.8	1.07703	[3, 4, 2, 1, 1, 0, 1, 2, 2, 2]
dearness	2.0	0.7746	[1, 1, 2, 3, 2, 2, 2, 3, 1, 3]
dears	1.9	0.83066	[3, 2, 2, 2, 1, 2, 2, 2, 0, 3]
dearth	-2.3	1.00499	[-2, -2, -1, -4, -2, -1, -2, -4, -3, -2]
dearths	-0.9	0.7	[0, -1, 0, -1, -2, -1, -2, 0, -1, -1]
deary	1.9	0.83066	[3, 2, 2, 1, 2, 2, 3, 2, 0, 2]
death	-2.9	1.04403	[-3, -4, -4, -3, -3, -1, -1, -4, -3, -3]
debonair	0.8	1.72047	[1, -1, -1, -3, 2, 2, 2, 2, 2, 2]
debt	-1.5	1.0247	[-2, -1, -2, -3, 1, -2, -2, -1, -1, -2]
decay	-1.7	0.45826	[-2, -2, -2, -1, -2, -1, -1, -2, -2, -2]
decayed	-1.6	0.91652	[-2, -2, -2, -2, -2, 1, -1, -2, -2, -2]
decayer	-1.6	0.4899	[-2, -2, -2, -1, -2, -1, -1, -1, -2, -2]
decayers	-1.6	0.4899	[-2, -1, -1, -2, -1, -2, -2, -2, -1, -2]
decaying	-1.7	0.64031	[-1, -1, -2, -2, -1, -2, -3, -2, -2, -1]
decays	-1.7	0.45826	[-2, -1, -2, -2, -1, -2, -1, -2, -2, -2]
deceit	-2.0	1.34164	[-3, -2, -2, -3, -3, 0, 1, -2, -3, -3]
deceitful	-1.9	1.22066	[-3, -2, -2, -3, -1, -3, -1, -3, -2, 1]
deceive	-1.7	0.64031	[-1, -2, -2, -1, -2, -1, -1, -3, -2, -2]
deceived	-1.9	1.3	[1, -3, -3, -1, -1, -2, -2, -2, -4, -2]
deceives	-1.6	1.56205	[-1, 2, -2, -2, -3, -2, 0, -2, -4, -2]
deceiving	-1.4	1.68523	[-3, -2, -2, -2, -1, -1, 1, -4, 2, -2]
deception	-1.9	1.04403	[-1, -2, -2, -4, -2, 0, -2, -1, -3, -2]
decisive	0.9	0.83066	[2, 2, 0, 1, -1, 1, 1, 1, 1, 1]
dedicated	2.0	0.44721	[2, 2, 2, 2, 2, 2, 2, 1, 3, 2]
defeat	-2.0	1.67332	[0, -4, -3, -4, -2, -1, -2, -1, 1, -4]
defeated	-2.1	0.83066	[-1, -2, -1, -2, -3, -2, -2, -2, -2, -4]
defeater	-1.4	0.8	[-2, -1, -1, -3, -2, -1, -2, -1, 0, -1]
defeaters	-0.9	0.9434	[-2, 0, -1, -2, -2, -1, 0, -1, 1, -1]
defeating	-1.6	0.66332	[-2, -2, -1, -1, -1, -1, -2, -2, -3, -1]
defeatism	-1.3	1.00499	[-1, -2, -2, -1, -1, -3, 1, -2, -1, -1]
defeatist	-1.7	0.9	[0, -1, -2, -3, -1, -2, -1, -3, -2, -2]
defeatists	-2.1	0.9434	[-3, -2, -1, -2, -2, -1, -3, -4, -1, -2]
defeats	-1.3	1.1	[-1, 0, -1, -2, -1, -2, -3, 1, -2, -2]
defeature	-1.9	1.22066	[1, -2, -2, -2, -2, -1, -2, -3, -4, -2]
defeatures	-1.5	1.20416	[-3, -2, -3, 0, -1, -1, -2, 0, -3, 0]
defect	-1.4	0.8	[-2, -1, -2, -1, 0, -2, -3, -1, -1, -1]
defected	-1.7	0.64031	[-3, -2, -2, -2, -1, -1, -1, -2, -1, -2]
defecting	-1.8	0.6	[-2, -1, -2, -2, -2, -1, -3, -1, -2, -2]
defection	-1.4	0.66332	[-1, -2, -1, -2, 0, -1, -2, -2, -2, -1]
defections	-1.5	0.67082	[-2, -2, -2, -1, 0, -1, -2, -2, -1, -2]
defective	-1.9	0.53852	[-2, -1, -2, -3, -2, -2, -2, -2, -1, -2]
defectively	-2.1	0.83066	[-1, -3, -2, -1, -3, -2, -1, -3, -2, -3]
defectiveness	-1.8	0.74833	[-1, -1, -2, -2, -2, -3, -1, -1, -2, -3]
defectives	-1.8	0.74833	[-3, -3, -1, -2, -2, -1, -2, -1, -1, -2]
defector	-1.9	0.53852	[-2, -3, -2, -2, -1, -2, -1, -2, -2, -2]
defectors	-1.3	1.26886	[-2, -1, -2, 0, -1, -1, -2, -4, 1, -1]
defects	-1.7	0.9	[-1, -2, -1, 0, -2, -3, -2, -2, -1, -3]
defence	0.4	0.91652	[0, 0, 0, 1, 0, 0, 0, 2, 2, -1]
defenceman	0.4	1.11355	[3, 0, 0, 0, 0, -1, 2, 0, 0, 0]
defencemen	0.6	0.91652	[0, 0, 0, 2, 0, 2, 0, 2, 0, 0]
defences	-0.2	1.16619	[0, 0, 0, 1, -2, -1, 0, -2, 0, 2]
defender	0.4	1.0198	[0, 0, 2, 1, -1, 2, 0, 1, -1, 0]
defenders	0.3	0.78102	[0, 1, 1, 0, 0, 0, 0, -1, 2, 0]
defense	0.5	0.67082	[0, 1, 0, 1, 2, 1, 0, 0, 0, 0]
defenseless	-1.4	0.8	[0, -1, -1, -2, -1, -1, -3, -1, -2, -2]
defenselessly	-1.1	0.9434	[-2, -2, -2, -1, 0, -1, 1, -1, -1, -2]
defenselessness	-1.3	1.18743	[-3, -1, -3, 0, -2, -1, -1, -2, 1, -1]
defenseman	0.1	1.13578	[2, 0, 0, 0, 0, 0, -1, 0, 2, -2]
defensemen	-0.4	0.66332	[0, 0, -2, 0, -1, -1, 0, 0, 0, 0]
defenses	0.7	1.41774	[3, 0, 2, 0, -1, 1, -2, 1, 1, 2]
defensibility	0.4	1.56205	[1, -2, 1, 0, 4, 0, -1, 1, -1, 1]
defensible	0.8	0.87178	[0, 2, 0, 0, 1, 0, 2, 0, 2, 1]
defensibly	0.1	1.13578	[0, -1, 0, 0, -1, 0, 3, 0, -1, 1]
defensive	0.1	1.13578	[2, -1, 0, -1, 2, 0, -1, 1, 0, -1]
defensively	-0.6	0.91652	[1, 1, -1, -1, -1, -1, -2, -1, 0, -1]
defensiveness	-0.4	1.11355	[2, -1, -1, -1, -1, 0, 0, 1, -2, -1]
defensives	-0.3	1.00499	[-1, 0, 0, -1, 0, -1, 0, -2, 2, 0]
defer	-1.2	0.6	[-1, -2, -1, 0, -1, -2, -2, -1, -1, -1]
deferring	-0.7	0.64031	[0, 0, -2, -1, -1, -1, -1, 0, -1, 0]
defiant	-0.9	1.44568	[-1, -2, -1, 2, 1, -2, 0, -1, -3, -2]
deficit	-1.7	0.78102	[-3, -3, -2, -1, -2, -2, -1, -1, -1, -1]
definite	1.1	0.7	[2, 1, 0, 1, 0, 1, 1, 2, 2, 1]
definitely	1.7	0.64031	[2, 2, 2, 2, 2, 1, 2, 2, 0, 2]
degradable	-1.0	1.26491	[-1, -2, 0, -2, 0, -1, -2, -2, 2, -2]
degradation	-2.4	1.0198	[-4, -3, -3, -3, -3, -2, -2, -2, 0, -2]
degradations	-1.5	0.67082	[-2, -1, -3, -1, -2, -2, -1, -1, -1, -1]
degradative	-2.0	0.63246	[-2, -1, -3, -2, -2, -2, -1, -2, -3, -2]
degrade	-1.9	0.7	[-3, -2, -1, -3, -1, -2, -2, -2, -1, -2]
degraded	-1.8	0.87178	[-2, -3, -1, 0, -2, -1, -2, -2, -3, -2]
degrader	-2.0	0.63246	[-2, -3, -1, -1, -2, -2, -3, -2, -2, -2]
degraders	-2.0	0.63246	[-2, -3, -1, -2, -2, -2, -3, -2, -1, -2]
degrades	-2.1	0.83066	[-3, -1, -3, -3, -2, -3, -1, -1, -2, -2]
degrading	-2.8	0.87178	[-3, -3, -2, -3, -4, -2, -3, -4, -3, -1]
degradingly	-2.7	0.64031	[-3, -2, -3, -4, -2, -3, -3, -2, -3, -2]
dehumanize	-1.8	2.18174	[-2, -4, -1, -3, 2, -4, -3, 2, -1, -4]
dehumanized	-1.9	0.7	[-2, -2, -2, -2, -1, -3, -2, -1, -3, -1]
dehumanizes	-1.5	0.67082	[-1, -1, -1, -2, -1, -3, -2, -1, -2, -1]
dehumanizing	-2.4	0.91652	[-2, -3, -4, -2, -3, -2, -3, -1, -1, -3]
deject	-2.2	0.6	[-2, -3, -2, -3, -2, -2, -3, -2, -1, -2]
dejected	-2.2	0.74833	[-2, -1, -2, -3, -2, -2, -2, -2, -2, -4]
dejecting	-2.3	0.64031	[-2, -2, -3, -2, -3, -2, -1, -2, -3, -3]
dejects	-2.0	0.63246	[-2, -2, -3, -1, -2, -1, -3, -2, -2, -2]
delay	-1.3	0.45826	[-1, -1, -1, -2, -1, -1, -2, -1, -2, -1]
delayed	-0.9	0.3	[-1, -1, 0, -1, -1, -1, -1, -1, -1, -1]
delectable	2.9	0.83066	[3, 4, 3, 2, 3, 4, 3, 1, 3, 3]
delectables	1.4	1.35647	[1, 2, 0, 4, 2, 1, 3, -1, 1, 1]
delectably	2.8	0.74833	[3, 4, 3, 2, 3, 3, 3, 1, 3, 3]
delicate	0.2	0.74833	[2, 0, 0, 0, 0, 0, 1, 0, -1, 0]
delicately	1.0	1.26491	[1, 1, 2, 0, 1, 3, -1, 2, -1, 2]
delicates	0.6	1.35647	[3, 0, 2, 1, -1, -1, 2, 0, 1, -1]
delicatessen	0.4	0.8	[0, 0, 0, 0, 0, 0, 0, 2, 2, 0]
delicatessens	0.4	0.8	[0, 0, 2, 0, 0, 2, 0, 0, 0, 0]
delicious	2.7	0.64031	[3, 2, 3, 4, 2, 3, 3, 3, 2, 2]
deliciously	1.9	0.83066	[2, 2, 1, 3, 1, 3, 2, 3, 1, 1]
deliciousness	1.8	0.87178	[1, 2, 3, 3, 2, 2, 1, 2, 2, 0]
delight	2.9	0.7	[2, 3, 4, 4, 3, 2, 3, 3, 2, 3]
delighted	2.3	0.64031	[3, 3, 2, 3, 2, 1, 3, 2, 2, 2]
delightedly	2.4	0.4899	[2, 3, 3, 3, 2, 2, 3, 2, 2, 2]
delightedness	2.1	0.53852	[2, 2, 2, 2, 3, 2, 3, 2, 1, 2]
delighter	2.0	0.63246	[3, 2, 2, 3, 1, 2, 2, 1, 2, 2]
delighters	2.6	0.66332	[3, 2, 2, 2, 3, 2, 3, 2, 4, 3]
delightful	2.8	0.6	[4, 3, 2, 3, 3, 3, 2, 2, 3, 3]
delightfully	2.7	0.45826	[3, 2, 2, 2, 3, 3, 3, 3, 3, 3]
delightfulness	2.1	0.7	[3, 2, 3, 1, 2, 3, 2, 2, 2, 1]
delighting	1.6	1.90788	[3, 3, 3, 2, 3, 2, 3, -2, -2, 1]
delights	2.0	1.54919	[2, 3, 1, -2, 2, 4, 2, 3, 3, 2]
delightsome	2.3	0.45826	[3, 3, 2, 2, 2, 3, 2, 2, 2, 2]
demand	-0.5	0.67082	[0, 0, 0, 0, 0, -1, -1, -1, 0, -2]
demanded	-0.9	0.7	[-2, 0, 0, 0, -2, -1, -1, -1, -1, -1]
demanding	-0.9	0.53852	[-1, -2, 0, -1, -1, -1, -1, -1, 0, -1]
demonstration	0.4	0.91652	[0, 0, 0, 0, 0, 0, 3, 1, 0, 0]
demoralized	-1.6	1.62481	[-2, -2, -2, -2, -3, 2, -2, -3, 1, -3]
denied	-1.9	0.53852	[-2, -3, -1, -2, -2, -1, -2, -2, -2, -2]
denier	-1.5	0.67082	[-1, -1, -1, -1, -2, -3, -2, -2, -1, -1]
deniers	-1.1	1.13578	[-2, 0, -2, -1, -3, 1, 0, -1, -2, -1]
denies	-1.8	0.6	[-1, -2, -1, -1, -2, -3, -2, -2, -2, -2]
denounce	-1.4	0.91652	[-2, -1, -2, -1, 1, -2, -2, -1, -2, -2]
denounces	-1.9	0.7	[-1, -3, -2, -3, -2, -1, -2, -2, -2, -1]
deny	-1.4	0.4899	[-1, -1, -1, -1, -2, -1, -2, -2, -1, -2]
denying	-1.4	0.4899	[-1, -1, -1, -2, -2, -2, -1, -2, -1, -1]
depress	-2.2	0.74833	[-2, -1, -3, -3, -2, -2, -3, -3, -1, -2]
depressant	-1.6	1.11355	[-3, -1, 0, -1, 0, -2, -3, -1, -3, -2]
depressants	-1.6	0.91652	[-1, -1, -3, -3, -2, 0, -1, -2, -2, -1]
depressed	-2.3	0.45826	[-2, -2, -2, -2, -2, -3, -3, -3, -2, -2]
depresses	-2.2	0.6	[-2, -2, -2, -2, -3, -3, -1, -2, -3, -2]
depressible	-1.7	0.78102	[-2, -1, 0, -3, -2, -2, -2, -1, -2, -2]
depressing	-1.6	1.28062	[-2, -2, -2, 2, -3, -1, -2, -2, -2, -2]
depressingly	-2.3	0.45826	[-2, -3, -2, -2, -2, -3, -3, -2, -2, -2]
depression	-2.7	0.64031	[-3, -2, -2, -2, -2, -3, -4, -3, -3, -3]
depressions	-2.2	0.6	[-2, -3, -3, -2, -2, -2, -3, -2, -2, -1]
depressive	-1.6	1.11355	[-2, -1, -1, -2, -1, -2, -3, 1, -3, -2]
depressively	-2.1	0.53852	[-3, -2, -3, -2, -2, -2, -2, -1, -2, -2]
depressives	-1.5	0.5	[-2, -1, -1, -2, -1, -1, -1, -2, -2, -2]
depressor	-1.8	1.16619	[-2, -4, -3, 0, 0, -2, -2, -2, -1, -2]
depressors	-1.7	0.9	[-1, -1, -1, -2, -1, -2, -4, -2, -2, -1]
depressurization	-0.3	0.78102	[1, 0, 0, -1, -1, 0, -2, 0, 0, 0]
depressurizations	-0.4	0.91652	[0, 0, 0, 0, 1, -2, -1, 0, -2, 0]
depressurize	-0.5	0.80623	[0, 0, -2, 0, -2, 0, 0, 0, 0, -1]
depressurized	-0.3	0.64031	[0, 0, 0, 0, 0, 0, -1, 0, -2, 0]
depressurizes	-0.3	0.64031	[0, 0, 0, 0, 0, 0, -1, 0, -2, 0]
depressurizing	-0.7	1.34536	[2, 0, -1, -1, -2, -2, 1, -2, 0, -2]
deprival	-2.1	0.7	[-1, -2, -2, -2, -1, -3, -3, -3, -2, -2]
deprivals	-1.2	0.87178	[0, -1, -2, -1, 0, -2, -1, -1, -3, -1]
deprivation	-1.8	1.4	[-3, -2, -3, -2, -1, -2, -2, 2, -2, -3]
deprivations	-1.8	0.74833	[-1, -2, -3, -1, -2, -1, -2, -2, -3, -1]
deprive	-2.1	0.7	[-3, -2, -1, -3, -1, -2, -2, -3, -2, -2]
deprived	-2.1	0.7	[-2, -2, -2, -2, -2, -4, -2, -2, -1, -2]
depriver	-1.6	0.91652	[-1, -2, -1, -2, -1, -4, -2, -1, -1, -1]
deprivers	-1.4	0.66332	[-2, -1, -1, -3, -1, -1, -1, -1, -2, -1]
deprives	-1.7	0.64031	[-2, -2, -1, -2, -1, -3, -2, -1, -1, -2]
depriving	-2.0	0.0	[-2, -2, -2, -2, -2, -2, -2, -2, -2, -2]
derail	-1.2	1.07703	[-1, 1, -1, -2, -1, -2, -1, -3, -2, 0]
derailed	-1.4	0.66332	[-1, -2, -2, 0, -1, -1, -2, -1, -2, -2]
derails	-1.3	0.78102	[-2, -3, -1, -2, -1, -1, 0, -1, -1, -1]
deride	-1.1	1.22066	[-3, -2, -2, -1, -1, -1, 1, -2, -1, 1]
derided	-0.8	0.87178	[-2, -1, -2, 0, 0, -1, -1, -1, 1, -1]
derides	-1.0	1.0	[-1, -2, -2, 0, 0, 1, -1, -2, -1, -2]
deriding	-1.5	0.80623	[-2, -2, 0, 0, -2, -1, -2, -2, -2, -2]
derision	-1.2	1.249	[-1, -2, -2, -2, -1, -1, 1, 1, -3, -2]
desirable	1.3	0.45826	[2, 1, 1, 1, 1, 1, 1, 2, 2, 1]
desire	1.7	0.78102	[1, 1, 2, 1, 3, 3, 1, 2, 2, 1]
desired	1.1	1.04403	[1, 1, 0, 3, 1, 0, 1, 1, 3, 0]
desirous	1.3	0.64031	[1, 2, 1, 2, 2, 1, 2, 1, 0, 1]
despair	-1.3	1.9	[2, -1, -3, -1, -3, 1, -3, 1, -3, -3]
despaired	-2.7	0.45826	[-2, -2, -3, -3, -3, -3, -3, -2, -3, -3]
despairer	-1.3	1.1	[-2, -2, -1, -3, -2, 1, -1, -1, 0, -2]
despairers	-1.3	1.00499	[-2, -1, -1, 1, -2, -1, -2, -1, -1, -3]
despairing	-2.3	0.64031	[-2, -1, -3, -2, -3, -2, -2, -2, -3, -3]
despairingly	-2.2	0.74833	[-2, -2, -2, -2, -4, -2, -3, -1, -2, -2]
despairs	-2.7	1.00499	[-3, -4, -1, -3, -4, -2, -1, -3, -3, -3]
desperate	-1.3	1.34536	[-2, -1, -2, 1, -1, -2, -3, -3, -1, 1]
desperately	-1.6	1.11355	[-3, -3, -2, -1, -2, -1, -2, -2, -1, 1]
desperateness	-1.5	1.36015	[-1, -2, -2, -2, -3, -3, 1, -2, 1, -2]
desperation	-2.0	1.0	[-2, -1, -1, -2, -3, -3, -1, -4, -1, -2]
desperations	-2.2	1.66132	[-1, -4, -2, -4, -4, -1, -1, -2, 1, -4]
despise	-1.4	1.35647	[-2, -3, -1, -2, -1, 1, -3, 1, -2, -2]
despised	-1.7	1.48661	[-2, -1, -3, -2, -3, 1, -3, 1, -2, -3]
despisement	-2.4	0.91652	[-3, -3, -2, -1, -3, -1, -4, -2, -2, -3]
despisements	-2.5	1.0247	[-2, -2, -3, -2, 0, -3, -4, -3, -3, -3]
despiser	-1.8	1.07703	[-2, -1, -3, 1, -2, -2, -3, -2, -2, -2]
despisers	-1.6	1.35647	[-3, -3, -1, -3, -2, -1, -1, 1, 0, -3]
despises	-2.0	1.26491	[-3, -1, -3, 1, -2, -1, -3, -2, -3, -3]
despising	-2.7	0.9	[-4, -3, -3, -4, -1, -2, -3, -2, -2, -3]
despondent	-2.1	0.53852	[-2, -2, -2, -3, -2, -2, -1, -3, -2, -2]
destroy	-2.5	0.67082	[-2, -3, -3, -1, -3, -3, -3, -2, -2, -3]
destroyed	-2.2	0.87178	[-1, -3, -3, -2, -1, -2, -1, -3, -3, -3]
destroyer	-2.0	0.89443	[-2, -3, -3, -3, -1, -2, -2, -2, 0, -2]
destroyers	-2.3	0.78102	[-1, -3, -3, -3, -2, -2, -3, -3, -1, -2]
destroying	-2.6	0.91652	[-2, -4, -4, -2, -1, -3, -2, -3, -2, -3]
destroys	-2.6	0.4899	[-3, -3, -3, -2, -2, -2, -3, -3, -2, -3]
destruct	-2.4	0.4899	[-3, -3, -3, -2, -2, -2, -3, -2, -2, -2]
destructed	-1.9	1.04403	[-4, -1, -2, -2, -2, -1, -3, -2, 0, -2]
destructibility	-1.8	1.07703	[-1, -2, -1, -1, -2, -3, -2, 0, -4, -2]
destructible	-1.5	1.11803	[-2, -2, -2, -1, 1, -1, -3, -1, -3, -1]
destructing	-2.5	0.67082	[-2, -3, -2, -3, -2, -2, -2, -3, -2, -4]
destruction	-2.7	0.9	[-4, -3, -4, -3, -2, -2, -3, -1, -2, -3]
destructionist	-2.6	0.8	[-3, -4, -2, -2, -2, -3, -3, -1, -3, -3]
destructionists	-2.1	0.53852	[-3, -1, -2, -2, -3, -2, -2, -2, -2, -2]
destructions	-2.3	0.78102	[-3, -2, -2, -2, -1, -3, -4, -2, -2, -2]
destructive	-3.0	0.63246	[-3, -4, -3, -2, -3, -3, -3, -2, -4, -3]
destructively	-2.4	0.91652	[-2, -3, -1, -4, -2, -3, -3, -3, -1, -2]
destructiveness	-2.4	0.91652	[-3, -3, -2, -4, -1, -2, -3, -2, -1, -3]
destructivity	-2.2	1.53623	[2, -3, -3, -4, -3, -2, -2, -2, -2, -3]
destructs	-2.4	0.91652	[-2, -1, -2, -4, -4, -2, -3, -2, -2, -2]
detached	-0.5	1.20416	[-1, 2, -1, -1, -2, 0, 1, -2, -1, 0]
detain	-1.8	0.9798	[-3, -1, -2, -2, -4, -2, -1, -1, -1, -1]
detained	-1.7	0.9	[-1, -1, -1, -1, -1, -2, -2, -2, -2, -4]
detention	-1.5	0.67082	[-1, -2, -1, -2, -1, -1, -3, -2, -1, -1]
determinable	0.9	0.7	[2, 1, 1, 1, 0, 1, 2, 0, 0, 1]
determinableness	0.2	1.07703	[0, 0, 0, 1, 0, 1, -1, 2, -2, 1]
determinably	0.9	0.83066	[2, 0, 1, 1, 0, 1, 2, 2, 0, 0]
determinacy	1.0	1.0	[0, 0, 0, 3, 1, 1, 2, 1, 0, 2]
determinant	0.2	0.6	[0, 1, -1, 0, 1, 1, 0, 0, 0, 0]
determinantal	-0.3	1.41774	[0, 0, 0, -4, 0, -1, 0, 0, 2, 0]
determinate	0.8	0.87178	[2, 1, 0, 0, 0, 2, 2, 0, 1, 0]
determinately	1.2	0.6	[1, 2, 0, 1, 1, 1, 2, 1, 2, 1]
determinateness	1.1	0.9434	[1, 1, 1, 0, 0, 2, 3, 1, 0, 2]
determination	1.7	0.78102	[2, 3, 1, 1, 1, 2, 1, 1, 2, 3]
determinations	0.8	1.16619	[0, 3, 1, 0, 1, 3, 0, 0, 0, 0]
determinative	1.1	1.04403	[2, 0, 3, 2, 1, 1, 0, 0, 2, 0]
determinatives	0.9	1.3	[2, 0, -2, 1, 2, 2, 2, 0, 0, 2]
determinator	1.1	1.04403	[3, 0, 1, 0, 1, 0, 2, 2, 0, 2]
determined	1.4	1.35647	[-2, 1, 3, 2, 2, 2, 3, 1, 1, 1]
devastate	-3.1	0.9434	[-4, -4, -1, -4, -4, -3, -3, -3, -2, -3]
devastated	-3.0	0.89443	[-4, -3, -3, -4, -3, -1, -3, -4, -3, -2]
devastates	-2.8	0.9798	[-4, -3, -2, -4, -2, -1, -3, -4, -3, -2]
devastating	-3.3	0.9	[-4, -3, -4, -4, -1, -4, -3, -3, -3, -4]
devastatingly	-2.4	1.28062	[-3, -4, -3, 0, -3, 0, -2, -3, -3, -3]
devastation	-1.8	2.13542	[-1, -1, -3, -3, -4, -3, -4, 2, 2, -3]
devastations	-1.9	1.92094	[-3, -3, -2, -2, 1, -1, 2, -4, -4, -3]
devastative	-3.2	1.16619	[-4, -3, 0, -4, -4, -3, -3, -4, -3, -4]
devastator	-2.8	0.74833	[-3, -3, -2, -2, -3, -2, -3, -4, -2, -4]
devastators	-2.9	1.22066	[-3, -2, -3, -4, -4, -4, 0, -3, -2, -4]
devil	-3.4	0.8	[-4, -3, -4, -4, -4, -4, -2, -3, -2, -4]
deviled	-1.6	1.0198	[-1, -2, 0, -4, -1, -2, -2, -2, -1, -1]
devilfish	-0.8	1.07703	[-2, -3, -1, 0, 0, 0, 0, -2, 0, 0]
devilfishes	-0.6	1.0198	[-3, 0, -2, 0, 0, 0, 0, -1, 0, 0]
deviling	-2.2	0.87178	[-1, -3, -1, -2, -3, -2, -2, -4, -2, -2]
devilish	-2.1	1.04403	[-1, -2, -4, -1, -1, -2, -2, -4, -2, -2]
devilishly	-1.6	0.8	[-2, -2, -3, -1, -2, -2, 0, -2, -1, -1]
devilishness	-2.3	0.9	[-4, -1, -4, -2, -2, -2, -2, -2, -2, -2]
devilkin	-2.4	0.91652	[-3, -1, -2, -3, -2, -4, -2, -3, -3, -1]
devilled	-2.3	1.1	[-3, -1, -2, -3, 0, -4, -2, -3, -2, -3]
devilling	-1.8	1.249	[-3, -1, -1, -2, -2, -3, -4, -2, 0, 0]
devilment	-1.9	0.9434	[-2, -1, -2, -1, -3, -2, -2, -1, -1, -4]
devilments	-1.1	0.7	[-2, -1, -2, -2, -1, 0, 0, -1, -1, -1]
devilries	-1.6	1.35647	[-1, -1, -2, -4, -3, 0, -2, 0, 0, -3]
devilry	-2.8	1.249	[-4, -3, 0, -2, -2, -2, -3, -4, -4, -4]
devils	-2.7	0.9	[-3, -1, -3, -2, -2, -3, -4, -3, -2, -4]
deviltries	-1.5	1.11803	[-1, -2, 1, -2, 0, -2, -2, -3, -2, -2]
deviltry	-2.8	1.32665	[-4, -4, -3, -3, -3, -3, 1, -3, -3, -3]
devilwood	-0.8	1.07703	[0, -1, -2, 0, 0, 0, 0, -3, -2, 0]
devilwoods	-1.0	0.7746	[-2, 0, -2, -1, -1, 0, -1, -2, 0, -1]
devote	1.4	1.28062	[3, 0, 2, -1, 0, 3, 2, 2, 1, 2]
devoted	1.7	1.34536	[2, -1, 3, 2, 1, 0, 1, 3, 3, 3]
devotedly	1.6	1.35647	[1, 1, 2, 2, 3, 2, 2, -2, 2, 3]
devotedness	2.0	1.0	[0, 3, 2, 1, 3, 2, 2, 3, 1, 3]
devotee	1.6	1.11355	[1, 3, 0, 2, 1, 2, 1, 1, 4, 1]
devotees	0.5	1.0247	[0, 0, 3, 0, 0, 0, 2, 0, 0, 0]
devotement	1.5	1.36015	[2, -1, 3, 2, -1, 1, 2, 3, 2, 2]
devotements	1.1	1.04403	[0, 1, 0, 0, 0, 2, 2, 2, 3, 1]
devotes	1.6	0.91652	[2, 3, 0, 2, 2, 3, 1, 1, 1, 1]
devoting	2.1	0.7	[2, 2, 3, 1, 2, 3, 2, 3, 1, 2]
devotion	2.0	1.0	[2, 0, 1, 2, 4, 3, 2, 2, 2, 2]
devotional	1.2	1.16619	[0, 1, 0, 2, 2, 1, 0, 0, 3, 3]
devotionally	2.2	0.4	[2, 2, 2, 3, 2, 3, 2, 2, 2, 2]
devotionals	1.2	1.07703	[3, 1, 1, 0, -1, 2, 2, 2, 1, 1]
devotions	1.8	0.74833	[2, 3, 1, 2, 1, 3, 1, 2, 1, 2]
diamond	1.4	1.42829	[0, 0, 2, 0, 1, 3, 1, 3, 0, 4]
dick	-2.3	1.18743	[-2, -3, -4, -2, 0, -4, -2, -1, -3, -2]
dickhead	-3.1	0.53852	[-4, -3, -3, -3, -4, -2, -3, -3, -3, -3]
die	-2.9	0.9434	[-4, -3, -1, -2, -4, -3, -3, -3, -2, -4]
died	-2.6	1.28062	[-3, -1, -3, -4, -2, -4, -3, -4, -2, 0]
difficult	-1.5	0.5	[-2, -2, -1, -1, -2, -1, -1, -2, -1, -2]
difficulties	-1.2	0.4	[-1, -2, -1, -1, -1, -2, -1, -1, -1, -1]
difficultly	-1.7	0.45826	[-1, -2, -1, -2, -2, -1, -2, -2, -2, -2]
difficulty	-1.4	0.66332	[-2, -2, -2, -2, 0, -1, -1, -2, -1, -1]
diffident	-1.0	0.44721	[-1, -1, -1, -1, -1, 0, -2, -1, -1, -1]
dignified	2.2	0.6	[1, 2, 2, 2, 3, 3, 3, 2, 2, 2]
dignifies	2.0	0.7746	[1, 3, 2, 2, 3, 3, 2, 2, 1, 1]
dignify	1.8	0.74833	[1, 2, 2, 1, 3, 3, 1, 2, 2, 1]
dignifying	2.1	1.04403	[1, 1, 1, 3, 1, 4, 2, 3, 2, 3]
dignitaries	0.6	0.91652	[0, 0, 1, 0, 0, 0, 3, 0, 1, 1]
dignitary	1.9	1.3	[0, 3, 4, 2, 3, 1, 1, 3, 0, 2]
dignities	1.4	0.66332	[1, 2, 1, 1, 3, 2, 1, 1, 1, 1]
dignity	1.7	0.9	[0, 3, 2, 1, 2, 1, 2, 3, 1, 2]
dilemma	-0.7	1.48661	[2, -1, -2, -2, -1, -1, 2, 0, -2, -2]
dipshit	-2.1	0.7	[-1, -2, -2, -3, -2, -3, -3, -2, -2, -1]
dire	-2.0	1.26491	[-2, -3, -3, -2, -3, -1, -1, 1, -3, -3]
direful	-3.1	0.83066	[-3, -3, -3, -3, -4, -1, -4, -3, -4, -3]
dirt	-1.4	0.91652	[-1, -1, -1, 0, -3, -1, -1, -2, -3, -1]
dirtier	-1.4	0.4899	[-2, -1, -1, -2, -1, -2, -1, -1, -2, -1]
dirtiest	-2.4	1.0198	[-4, -3, -2, -1, -2, -3, -1, -2, -4, -2]
dirty	-1.9	0.83066	[-2, -1, -1, -1, -2, -2, -1, -3, -3, -3]
disabling	-2.1	0.53852	[-2, -1, -3, -3, -2, -2, -2, -2, -2, -2]
disadvantage	-1.8	0.4	[-2, -2, -1, -2, -2, -1, -2, -2, -2, -2]
disadvantaged	-1.7	0.64031	[-2, -2, -3, -1, -2, -2, -2, -1, -1, -1]
disadvantageous	-1.8	0.74833	[-1, -2, -2, -1, -3, -1, -1, -2, -3, -2]
disadvantageously	-2.1	0.83066	[-2, -4, -1, -2, -1, -2, -2, -2, -3, -2]
disadvantageousness	-1.6	0.66332	[-1, -1, -3, -2, -1, -1, -2, -1, -2, -2]
disadvantages	-1.7	0.64031	[-2, -2, -3, -1, -2, -2, -2, -1, -1, -1]
disagree	-1.6	0.4899	[-1, -2, -1, -1, -2, -2, -2, -2, -1, -2]
disagreeable	-1.7	0.64031	[-1, -2, -1, -1, -1, -2, -2, -2, -3, -2]
disagreeableness	-1.7	0.64031	[-1, -1, -2, -2, -1, -2, -3, -1, -2, -2]
disagreeablenesses	-1.9	0.9434	[-2, 0, -3, -1, -2, -3, -2, -1, -3, -2]
disagreeably	-1.5	0.67082	[-3, -2, -1, -1, -1, -2, -1, -2, -1, -1]
disagreed	-1.3	0.64031	[-1, -2, -1, -1, -2, 0, -1, -2, -1, -2]
disagreeing	-1.4	0.8	[-1, 0, -1, -2, -2, -1, -3, -1, -1, -2]
disagreement	-1.5	0.67082	[-2, -1, -1, -1, -1, -1, -1, -3, -2, -2]
disagreements	-1.8	0.6	[-2, -3, -1, -2, -2, -1, -2, -2, -1, -2]
disagrees	-1.3	0.45826	[-1, -2, -1, -1, -1, -1, -1, -2, -1, -2]
disappear	-0.9	0.7	[-2, -1, 0, 0, -2, -1, -1, -1, 0, -1]
disappeared	-0.9	0.7	[-2, 0, -1, -1, 0, 0, -2, -1, -1, -1]
disappears	-1.4	0.8	[-2, -2, 0, 0, -2, -1, -2, -1, -2, -2]
disappoint	-1.7	0.64031	[-1, -1, -1, -3, -2, -2, -2, -1, -2, -2]
disappointed	-2.1	0.83066	[-1, -3, -2, -2, -3, -1, -1, -2, -3, -3]
disappointedly	-1.7	0.78102	[-3, -1, -3, -1, -2, -1, -1, -2, -2, -1]
disappointing	-2.2	0.6	[-1, -2, -2, -3, -3, -2, -2, -2, -3, -2]
disappointingly	-1.9	0.7	[-2, -1, -1, -3, -2, -3, -2, -2, -1, -2]
disappointment	-2.3	1.00499	[-3, -1, -4, -1, -3, -1, -3, -2, -2, -3]
disappointments	-2.0	1.09545	[-1, -2, -4, -3, -2, -2, -3, 0, -2, -1]
disappoints	-1.6	0.4899	[-2, -1, -1, -1, -2, -1, -2, -2, -2, -2]
disaster	-3.1	0.83066	[-2, -4, -4, -3, -3, -2, -4, -3, -2, -4]
disasters	-2.6	0.8	[-2, -2, -3, -1, -3, -3, -2, -4, -3, -3]
disastrous	-2.9	0.53852	[-2, -2, -3, -3, -3, -3, -4, -3, -3, -3]
disbelieve	-1.2	0.87178	[-1, -2, -1, -2, -1, 0, 0, -1, -3, -1]
discard	-1.0	0.44721	[-1, -1, -1, -1, 0, -1, -1, -1, -2, -1]
discarded	-1.4	0.91652	[-1, -1, -1, -1, 0, -1, -2, -3, -3, -1]
discarding	-0.7	0.45826	[-1, 0, -1, -1, -1, 0, -1, 0, -1, -1]
discards	-1.0	0.63246	[0, -1, -1, -1, -2, 0, -2, -1, -1, -1]
discomfort	-1.8	0.6	[-2, -2, -2, -1, -1, -3, -2, -2, -1, -2]
discomfortable	-1.6	0.8	[-1, -1, -1, -2, -3, -1, -2, -1, -3, -1]
discomforted	-1.6	0.8	[-1, -1, -1, -2, -3, -3, -1, -1, -1, -2]
discomforting	-1.6	1.11355	[-1, -2, -1, -1, -2, 1, -3, -2, -3, -2]
discomforts	-1.3	0.9	[-2, -1, -2, -1, -1, -2, -2, -1, 1, -2]
disconsolate	-2.3	0.78102	[-1, -2, -2, -3, -2, -2, -2, -4, -3, -2]
disconsolation	-1.7	0.45826	[-2, -2, -1, -2, -1, -1, -2, -2, -2, -2]
discontented	-1.8	0.9798	[-1, -3, -1, -2, -4, -2, -1, -2, -1, -1]
discord	-1.7	0.64031	[-3, -2, -2, -2, -2, -1, -1, -1, -1, -2]
discounted	0.2	1.249	[-1, 0, 3, -1, 0, 1, 1, 1, -1, -1]
discourage	-1.8	0.6	[-2, -2, -1, -2, -1, -1, -2, -2, -3, -2]
discourageable	-1.2	0.9798	[-1, -2, -1, 1, -1, -1, -1, -2, -3, -1]
discouraged	-1.7	0.45826	[-2, -1, -2, -2, -2, -2, -1, -1, -2, -2]
discouragement	-2.0	0.89443	[-4, -1, -2, -2, -1, -1, -3, -2, -2, -2]
discouragements	-1.8	0.6	[-2, -2, -2, -1, -1, -3, -2, -1, -2, -2]
discourager	-1.7	0.78102	[-2, -1, -3, -2, -1, -3, -1, -2, -1, -1]
discouragers	-1.9	0.53852	[-2, -2, -2, -2, -1, -1, -3, -2, -2, -2]
discourages	-1.9	0.53852	[-2, -1, -2, -2, -2, -2, -1, -3, -2, -2]
discouraging	-1.9	0.7	[-2, -2, -2, -3, -1, -1, -2, -1, -2, -3]
discouragingly	-1.8	0.87178	[-2, -1, -3, -1, -1, -3, -2, -1, -3, -1]
discredited	-1.9	0.53852	[-2, -2, -2, -2, -1, -3, -1, -2, -2, -2]
disdain	-2.1	0.3	[-3, -2, -2, -2, -2, -2, -2, -2, -2, -2]
disgrace	-2.2	0.74833	[-2, -4, -1, -2, -2, -2, -2, -3, -2, -2]
disgraced	-2.0	0.44721	[-3, -2, -2, -2, -1, -2, -2, -2, -2, -2]
disguise	-1.0	1.09545	[-2, -1, 0, 0, 0, 0, -3, -2, -2, 0]
disguised	-1.1	1.04403	[-3, 0, 0, -1, -1, 0, -3, -1, -1, -1]
disguises	-1.0	0.63246	[-2, 0, 0, -1, -1, -1, -2, -1, -1, -1]
disguising	-1.3	0.78102	[0, -2, -1, -1, -1, -2, -1, -1, -3, -1]
disgust	-2.9	0.7	[-3, -3, -4, -2, -3, -3, -4, -2, -3, -2]
disgusted	-2.4	0.91652	[-4, -3, -3, -1, -3, -1, -2, -2, -2, -3]
disgustedly	-3.0	0.89443	[-2, -3, -4, -4, -2, -4, -4, -2, -3, -2]
disgustful	-2.6	0.4899	[-3, -3, -2, -2, -2, -2, -3, -3, -3, -3]
disgusting	-2.4	1.11355	[-3, -2, -3, -4, -1, -3, -1, -4, -1, -2]
disgustingly	-2.9	0.7	[-3, -3, -4, -3, -3, -2, -2, -4, -2, -3]
disgusts	-2.1	0.53852	[-2, -2, -3, -2, -2, -2, -2, -3, -1, -2]
dishearten	-2.0	0.63246	[-3, -1, -2, -3, -2, -2, -1, -2, -2, -2]
disheartened	-2.2	0.74833	[-2, -2, -2, -1, -2, -2, -4, -3, -2, -2]
disheartening	-1.8	1.32665	[-2, -2, -2, -3, -2, 2, -2, -2, -3, -2]
dishearteningly	-2.0	0.63246	[-2, -3, -2, -1, -2, -2, -2, -3, -2, -1]
disheartenment	-2.3	0.45826	[-3, -2, -3, -2, -2, -2, -2, -3, -2, -2]
disheartenments	-2.2	0.87178	[-2, -3, -3, -3, -3, -1, -1, -1, -2, -3]
disheartens	-2.2	0.4	[-3, -2, -2, -2, -3, -2, -2, -2, -2, -2]
dishonest	-2.7	0.9	[-3, -2, -1, -4, -3, -2, -4, -3, -3, -2]
disillusion	-1.0	1.18322	[-2, 0, -2, -1, -2, 1, -2, -1, 1, -2]
disillusioned	-1.9	0.7	[-2, -2, -3, -2, -3, -1, -1, -1, -2, -2]
disillusioning	-1.3	1.00499	[-2, -2, 1, -2, 0, -2, -2, -1, -1, -2]
disillusionment	-1.7	0.78102	[-1, -3, -2, -3, -1, -2, -2, -1, -1, -1]
disillusionments	-1.5	1.0247	[-2, 1, -3, -2, -1, -1, -2, -1, -2, -2]
disillusions	-1.6	0.4899	[-2, -2, -2, -1, -1, -1, -2, -2, -1, -2]
disinclined	-1.1	0.53852	[0, -1, -1, -1, -1, -1, -1, -2, -2, -1]
disjointed	-1.3	0.45826	[-1, -1, -2, -1, -1, -2, -1, -2, -1, -1]
dislike	-1.6	0.4899	[-2, -1, -1, -2, -2, -1, -2, -1, -2, -2]
disliked	-1.7	0.64031	[-2, -3, -2, -1, -1, -1, -2, -2, -1, -2]
dislikes	-1.7	0.78102	[-2, -2, -1, -1, -2, -1, -3, -3, -1, -1]
disliking	-1.3	0.45826	[-1, -1, -2, -2, -2, -1, -1, -1, -1, -1]
dismal	-3.0	1.0	[-2, -1, -4, -4, -3, -2, -3, -4, -4, -3]
dismay	-1.8	0.87178	[-3, -1, -1, -3, -1, -1, -3, -1, -2, -2]
dismayed	-1.9	0.9434	[-1, -2, -1, -3, -4, -1, -2, -2, -1, -2]
dismaying	-2.2	0.9798	[-2, -3, -2, -3, -3, 0, -2, -1, -3, -3]
dismayingly	-1.9	0.83066	[-2, -3, -2, -3, -2, -1, -2, -2, 0, -2]
dismays	-1.8	1.07703	[-1, -1, -4, -3, -2, -1, -2, 0, -2, -2]
disorder	-1.7	0.64031	[-2, -1, -1, -2, -2, -1, -3, -1, -2, -2]
disorganized	-1.2	0.4	[-1, -1, -1, -1, -1, -2, -1, -2, -1, -1]
disoriented	-1.5	0.67082	[-2, -2, -1, 0, -1, -2, -2, -1, -2, -2]
disparage	-2.0	0.44721	[-2, -2, -2, -1, -2, -2, -2, -3, -2, -2]
disparaged	-1.4	0.8	[-1, -2, -2, -3, -1, -1, -1, -2, 0, -1]
disparages	-1.6	0.8	[-1, -2, -3, -2, -1, -1, -2, -2, 0, -2]
disparaging	-2.2	0.6	[-3, -1, -2, -2, -2, -3, -3, -2, -2, -2]
displeased	-1.9	0.7	[-3, -2, -1, -1, -3, -2, -2, -1, -2, -2]
dispute	-1.7	0.78102	[-1, -3, -1, -1, -2, -1, -2, -2, -3, -1]
disputed	-1.4	0.66332	[-2, -2, -2, -2, 0, -1, -1, -1, -1, -2]
disputes	-1.1	1.64012	[-2, -2, -2, 2, -3, -1, -2, 2, -1, -2]
disputing	-1.7	0.64031	[-2, -2, -2, -2, -1, -1, -3, -1, -1, -2]
disqualified	-1.8	0.6	[-1, -2, -1, -2, -1, -2, -2, -3, -2, -2]
disquiet	-1.3	0.9	[-1, -2, -2, -1, -1, -1, 1, -2, -2, -2]
disregard	-1.1	0.53852	[-1, -1, -2, -1, -1, -2, -1, -1, 0, -1]
disregarded	-1.6	0.4899	[-1, -1, -2, -2, -2, -2, -1, -2, -1, -2]
disregarding	-0.9	0.53852	[-1, 0, -1, 0, -2, -1, -1, -1, -1, -1]
disregards	-1.4	0.4899	[-1, -1, -2, -1, -2, -2, -2, -1, -1, -1]
disrespect	-1.8	0.6	[-2, -2, -2, -1, -2, -2, -1, -3, -1, -2]
disrespected	-2.0	0.63246	[-2, -2, -2, -2, -2, -3, -3, -1, -1, -2]
disruption	-1.5	0.67082	[-1, -1, -1, -2, -1, -3, -2, -2, -1, -1]
disruptions	-1.4	0.4899	[-1, -2, -1, -1, -1, -2, -2, -2, -1, -1]
disruptive	-1.3	1.00499	[-4, 0, -1, -1, -1, -1, -1, -1, -2, -1]
dissatisfaction	-2.2	0.74833	[-4, -2, -2, -2, -1, -3, -2, -2, -2, -2]
dissatisfactions	-1.9	0.83066	[-1, -3, -3, -1, -2, -1, -2, -2, -1, -3]
dissatisfactory	-2.0	0.63246	[-2, -2, -3, -1, -2, -3, -2, -2, -1, -2]
dissatisfied	-1.6	0.66332	[-2, -3, -1, -2, -1, -1, -2, -2, -1, -1]
dissatisfies	-1.8	0.74833	[-3, -3, -1, -1, -2, -1, -2, -2, -2, -1]
dissatisfy	-2.2	0.6	[-2, -3, -2, -2, -2, -2, -3, -3, -1, -2]
dissatisfying	-2.4	0.91652	[-3, -1, -4, -3, -2, -1, -2, -2, -3, -3]
distort	-1.3	0.45826	[-2, -1, -1, -1, -2, -1, -1, -1, -1, -2]
distorted	-1.7	0.78102	[-3, -1, -3, -1, -2, -1, -2, -2, -1, -1]
distorting	-1.1	0.53852	[0, -1, -1, -1, -2, -1, -1, -1, -2, -1]
distorts	-1.4	0.4899	[-2, -1, -1, -1, -2, -2, -2, -1, -1, -1]
distract	-1.2	0.6	[-1, -1, 0, -2, -1, -1, -1, -2, -1, -2]
distractable	-1.3	1.00499	[-2, 0, 1, -2, -2, -1, -1, -2, -2, -2]
distracted	-1.4	0.66332	[-1, -3, -1, -2, -2, -1, -1, -1, -1, -1]
distractedly	-0.9	0.7	[-1, -1, 0, -2, -1, 0, -1, 0, -1, -2]
distractibility	-1.3	1.1	[-1, -1, -3, -1, 0, -3, -2, 0, -2, 0]
distractible	-1.5	0.92195	[-1, -2, -1, -1, -4, -1, -1, -1, -2, -1]
distracting	-1.2	0.4	[-2, -1, -1, -1, -1, -1, -2, -1, -1, -1]
distractingly	-1.4	1.0198	[-4, 0, -1, -1, -1, -2, -1, -1, -2, -1]
distraction	-1.6	0.66332	[-1, -2, -2, -1, -1, -3, -1, -1, -2, -2]
distractions	-1.0	0.0	[-1, -1, -1, -1, -1, -1, -1, -1, -1, -1]
distractive	-1.6	0.4899	[-2, -2, -1, -1, -1, -1, -2, -2, -2, -2]
distracts	-1.3	0.45826	[-1, -1, -2, -1, -1, -2, -1, -2, -1, -1]
distraught	-2.6	0.8	[-2, -3, -2, -3, -4, -2, -3, -3, -1, -3]
distress	-2.4	0.8	[-1, -2, -2, -3, -3, -4, -3, -2, -2, -2]
distressed	-1.8	0.6	[-2, -2, -2, -3, -2, -2, -1, -1, -2, -1]
distresses	-1.6	0.66332	[-2, -1, -1, -2, -2, -2, -1, -1, -3, -1]
distressful	-2.2	0.6	[-1, -3, -3, -2, -2, -3, -2, -2, -2, -2]
distressfully	-1.7	1.1	[-1, -3, -2, 1, -3, -1, -2, -2, -2, -2]
distressfulness	-2.4	0.66332	[-2, -3, -2, -3, -3, -3, -2, -1, -3, -2]
distressing	-1.7	1.18743	[-3, -3, -1, -1, -2, -2, -3, -2, 1, -1]
distressingly	-2.2	0.74833	[-3, -1, -2, -3, -3, -3, -2, -2, -2, -1]
distrust	-1.8	0.87178	[-1, -2, -2, -2, -1, -1, -2, -4, -1, -2]
distrusted	-2.4	0.66332	[-1, -3, -3, -3, -2, -2, -3, -2, -2, -3]
distrustful	-2.1	0.83066	[-1, -3, -2, -2, -3, -1, -1, -3, -2, -3]
distrustfully	-1.8	0.6	[-2, -1, -1, -2, -1, -2, -3, -2, -2, -2]
distrustfulness	-1.6	0.66332	[-2, -1, -2, -1, -2, -1, -1, -3, -1, -2]
distrusting	-2.1	0.83066	[-1, -2, -2, -2, -3, -3, -1, -3, -1, -3]
distrusts	-1.3	0.45826	[-1, -1, -2, -1, -2, -1, -2, -1, -1, -1]
disturb	-1.7	0.45826	[-2, -1, -1, -2, -2, -2, -1, -2, -2, -2]
disturbance	-1.6	0.8	[-1, -2, -1, -2, -2, -3, -1, -2, 0, -2]
disturbances	-1.4	0.66332	[-1, -1, -1, -2, -1, -1, -1, -1, -3, -2]
disturbed	-1.6	0.4899	[-2, -2, -1, -1, -2, -2, -1, -2, -1, -2]
disturber	-1.4	0.4899	[-2, -1, -1, -2, -2, -1, -1, -2, -1, -1]
disturbers	-2.1	0.53852	[-2, -2, -2, -2, -2, -3, -3, -2, -1, -2]
disturbing	-2.3	0.45826	[-2, -2, -3, -3, -2, -2, -3, -2, -2, -2]
disturbingly	-2.3	0.78102	[-2, -2, -1, -3, -4, -3, -2, -2, -2, -2]
disturbs	-1.9	0.53852	[-2, -2, -1, -2, -3, -2, -1, -2, -2, -2]
dithering	-0.5	0.92195	[0, 0, 0, 0, 1, -1, -2, -2, -1, 0]
divination	1.7	1.1	[2, 3, 0, 1, 2, 1, 3, 3, 2, 0]
divinations	1.1	1.04403	[1, 0, 1, 2, 2, 0, 3, 2, 0, 0]
divinatory	1.6	1.42829	[4, 1, 0, 0, 1, 3, 3, 0, 1, 3]
divine	2.6	0.8	[3, 3, 3, 2, 1, 2, 3, 4, 2, 3]
divined	0.8	1.16619	[1, 0, 3, 0, 0, 1, 0, 3, 0, 0]
divinely	2.9	0.7	[3, 2, 3, 3, 2, 4, 3, 2, 4, 3]
diviner	0.3	0.9	[0, 0, 3, 0, 0, 0, 0, 0, 0, 0]
diviners	1.2	1.16619	[0, 1, 0, 2, 2, 0, 3, 1, 3, 0]
divines	0.8	1.249	[0, 0, 3, 0, 0, 0, 3, 2, 0, 0]
divinest	2.7	0.78102	[3, 4, 2, 4, 2, 2, 2, 3, 2, 3]
diving	0.3	0.45826	[1, 0, 0, 0, 0, 1, 0, 1, 0, 0]
divining	0.9	1.37477	[0, -1, 2, 0, 1, 0, 2, 4, 1, 0]
divinise	0.5	1.36015	[0, 2, 0, 0, 0, 0, 0, -2, 2, 3]
divinities	1.8	1.46969	[1, 3, 3, 4, 0, 0, 1, 0, 3, 3]
divinity	2.7	1.00499	[4, 4, 2, 3, 3, 1, 2, 4, 2, 2]
divinize	2.3	1.00499	[4, 2, 2, 3, 4, 1, 1, 2, 2, 2]
dizzy	-0.9	0.3	[-1, -1, -1, -1, -1, -1, -1, -1, 0, -1]
dodging	-0.4	0.8	[-1, -1, 0, 1, 0, -1, 0, 0, -2, 0]
dodgy	-0.9	0.9434	[-1, -1, -1, -3, -1, 1, -1, -1, -1, 0]
dolorous	-2.2	0.6	[-2, -2, -2, -3, -3, -3, -2, -2, -1, -2]
dominance	0.8	0.87178	[2, 0, 0, 2, 1, 0, 0, 1, 2, 0]
dominances	-0.1	0.9434	[-1, 0, 1, 1, 0, -1, 0, 1, 0, -2]
dominantly	0.2	1.16619	[-2, 0, 0, -1, 2, 1, 2, 0, 0, 0]
dominants	0.2	1.16619	[0, 2, -1, 0, -1, -1, -1, 1, 1, 2]
dominate	-0.5	0.92195	[0, -1, 1, -1, 1, -1, -2, 0, -1, -1]
dominates	0.2	1.249	[1, 0, -2, -1, 1, -1, 2, 0, 0, 2]
dominating	-1.2	1.98997	[-4, -1, -4, -1, -3, -1, -1, 2, 2, -1]
domination	-0.2	0.9798	[0, 1, 0, -1, -1, -1, 0, 2, -1, -1]
dominations	-0.3	0.45826	[0, 0, 0, 0, 0, -1, 0, -1, -1, 0]
dominative	-0.7	1.18743	[-1, -1, -2, -2, -1, -1, -1, 2, 1, -1]
dominators	-0.4	1.8	[-1, -2, -2, -2, 0, 2, 2, -3, 2, 0]
dominatrices	-0.2	1.6	[-3, 0, 2, 0, -2, -2, 0, 1, 2, 0]
dominatrix	-0.5	0.92195	[0, 0, -1, 0, 0, 1, 0, -1, -2, -2]
dominatrixes	0.6	1.35647	[0, 4, 0, -1, 0, 2, 1, 0, 0, 0]
doom	-1.7	1.26886	[-2, -1, -1, -4, -2, -2, 1, -3, -1, -2]
doomed	-3.2	0.74833	[-3, -3, -4, -4, -4, -2, -4, -3, -3, -2]
doomful	-2.1	0.7	[-3, -2, -3, -1, -2, -3, -2, -1, -2, -2]
dooming	-2.8	0.4	[-2, -3, -2, -3, -3, -3, -3, -3, -3, -3]
dooms	-1.1	1.57797	[1, -3, -1, -3, -2, -1, -3, 1, 1, -1]
doomsayer	-0.7	1.41774	[2, -1, -2, -1, 1, -2, -2, -1, 1, -2]
doomsayers	-1.7	0.78102	[-1, -2, -3, 0, -2, -2, -2, -1, -2, -2]
doomsaying	-1.5	1.28452	[-3, -2, -2, 0, 1, 0, -3, -2, -2, -2]
doomsayings	-1.5	0.92195	[-2, -1, -1, -2, -2, 0, 0, -2, -3, -2]
doomsday	-2.8	1.249	[-3, -1, -3, -4, -3, -4, 0, -4, -3, -3]
doomsdayer	-2.2	1.249	[-3, -1, -4, -3, -4, -3, -1, -1, -1, -1]
doomsdays	-2.4	1.85472	[-3, -2, -4, 1, -4, -3, -2, -4, 1, -4]
doomster	-2.2	0.87178	[-2, -1, -2, -3, -1, -3, -1, -3, -3, -3]
doomsters	-1.6	0.8	[-3, -1, -2, -2, 0, -2, -2, -1, -1, -2]
doomy	-1.1	1.37477	[2, -2, -1, -2, -2, -2, -2, 1, -1, -2]
dork	-1.4	0.66332	[-1, -2, -2, -1, -1, -1, -3, -1, -1, -1]
dorkier	-1.1	0.53852	[-1, -1, -1, -1, -2, 0, -1, -2, -1, -1]
dorkiest	-1.2	0.74833	[-1, -2, -1, -3, -1, 0, -1, -1, -1, -1]
dorks	-0.5	0.67082	[-1, 1, -1, -1, -1, -1, 0, 0, -1, 0]
dorky	-1.1	1.04403	[-1, 0, -1, 1, -1, -1, -3, -2, -2, -1]
doubt	-1.5	0.5	[-1, -1, -2, -2, -1, -1, -2, -1, -2, -2]
doubtable	-1.5	0.5	[-1, -1, -2, -1, -2, -1, -2, -2, -1, -2]
doubted	-1.1	1.22066	[-1, -2, -2, 2, -1, -1, -2, -2, -2, 0]
doubter	-1.6	0.91652	[-1, -3, -2, -1, -1, -1, -2, -2, -3, 0]
doubters	-1.3	0.45826	[-1, -1, -1, -1, -1, -2, -1, -2, -2, -1]
doubtful	-1.4	0.4899	[-1, -1, -2, -1, -2, -2, -1, -1, -2, -1]
doubtfully	-1.2	0.4	[-1, -1, -1, -1, -1, -1, -2, -1, -1, -2]
doubtfulness	-1.2	0.4	[-2, -1, -1, -1, -1, -1, -1, -1, -1, -2]
doubting	-1.4	0.4899	[-1, -1, -1, -2, -2, -1, -1, -1, -2, -2]
doubtingly	-1.4	0.4899	[-2, -2, -1, -1, -1, -1, -1, -2, -2, -1]
doubtless	0.9	1.51327	[2, 2, 1, 2, -2, 2, -2, 1, 1, 2]
doubtlessly	1.2	0.9798	[2, 1, 1, 2, 0, -1, 2, 1, 2, 2]
doubtlessness	0.8	0.9798	[2, 1, 2, 0, 0, 0, 2, -1, 1, 1]
doubts	-1.2	0.6	[-2, -1, -1, -1, -2, -2, -1, 0, -1, -1]
douche	-1.5	1.68819	[-3, -2, -3, 1, 1, -2, -3, -2, 1, -3]
douchebag	-3.0	0.44721	[-3, -3, -3, -3, -3, -3, -2, -3, -4, -3]
downcast	-1.8	0.74833	[-1, -1, -1, -2, -2, -2, -1, -3, -3, -2]
downhearted	-2.3	0.78102	[-1, -2, -2, -4, -2, -2, -2, -3, -3, -2]
downside	-1.0	0.7746	[-1, -1, -1, -1, -1, -1, -2, 1, -2, -1]
drag	-0.9	0.83066	[-1, -2, -1, -1, -2, -1, -1, 1, 0, -1]
dragged	-0.2	1.07703	[-2, -1, 0, 0, -1, 0, 0, 1, 2, -1]
drags	-0.7	0.64031	[0, -1, 0, -1, -1, -2, -1, 0, 0, -1]
drained	-1.5	0.5	[-1, -1, -2, -2, -1, -2, -1, -2, -1, -2]
dread	-2.0	0.63246	[-2, -3, -2, -2, -2, -2, -3, -1, -1, -2]
dreaded	-2.7	0.64031	[-2, -3, -3, -3, -4, -3, -2, -2, -2, -3]
dreadful	-1.9	1.86815	[-4, -2, -2, 2, -1, -4, -1, 0, -3, -4]
dreadfully	-2.7	1.26886	[-4, -4, -3, -4, -3, -1, -2, -1, -1, -4]
dreadfulness	-3.2	0.87178	[-3, -4, -2, -3, -4, -4, -2, -2, -4, -4]
dreadfuls	-2.4	1.2	[-4, -3, -3, -2, -3, -2, -4, 0, -1, -2]
dreading	-2.4	0.8	[-3, -2, -2, -2, -2, -2, -3, -4, -3, -1]
dreadlock	-0.4	0.66332	[0, 0, 0, 0, 0, -1, -2, 0, -1, 0]
dreadlocks	-0.2	0.9798	[0, 0, 0, 0, 0, -1, -2, 2, 0, -1]
dreadnought	-0.6	1.35647	[-2, 0, 0, 0, -3, 0, -1, -2, 0, 2]
dreadnoughts	-0.4	0.66332	[0, -1, -1, 0, 0, 0, 0, 0, -2, 0]
dreads	-1.4	1.42829	[0, -1, 0, 0, -3, -3, 0, -4, -2, -1]
dream	1.0	1.18322	[0, 1, 2, 0, 0, 3, 0, 3, 1, 0]
dreams	1.7	1.1	[2, 2, 3, 0, 1, 1, 1, 4, 1, 2]
dreary	-1.4	0.4899	[-1, -1, -2, -1, -1, -2, -2, -1, -2, -1]
droopy	-0.8	0.74833	[-1, -1, 0, -1, -2, 0, 0, -1, 0, -2]
drop	-1.1	0.53852	[0, -1, -1, -1, -2, -1, -2, -1, -1, -1]
drown	-2.7	1.00499	[-4, -2, -2, -4, -4, -2, -3, -1, -3, -2]
drowned	-2.9	0.7	[-2, -3, -3, -3, -2, -4, -4, -2, -3, -3]
drowns	-2.2	1.6	[-3, -3, -3, -4, -2, -3, -1, -2, 2, -3]
drunk	-1.4	0.91652	[-3, -1, 0, -2, 0, -1, -1, -2, -2, -2]
dubious	-1.5	0.5	[-1, -2, -2, -1, -1, -2, -1, -1, -2, -2]
dud	-1.0	0.89443	[-1, -1, -1, 0, -3, 0, -1, 0, -1, -2]
dull	-1.7	0.45826	[-2, -2, -2, -1, -2, -2, -2, -1, -1, -2]
dullard	-1.6	0.66332	[-2, -1, -1, -2, -2, -1, -1, -2, -1, -3]
dullards	-1.8	0.87178	[-1, -3, -1, -1, -3, -1, -1, -2, -3, -2]
dulled	-1.5	0.5	[-2, -1, -2, -1, -1, -1, -2, -2, -1, -2]
duller	-1.7	0.64031	[-3, -1, -2, -2, -2, -1, -2, -1, -1, -2]
dullest	-1.7	1.00499	[-1, -4, -1, -1, -2, -3, -2, -1, -1, -1]
dulling	-1.1	0.7	[-1, -2, 0, -1, -2, -2, 0, -1, -1, -1]
dullish	-1.1	0.53852	[-2, -1, -1, -1, -1, -1, -1, -1, 0, -2]
dullness	-1.4	0.8	[-1, -1, -1, -1, -1, -1, -3, -1, -3, -1]
dullnesses	-1.9	1.04403	[-3, -2, -1, -1, -3, -1, -4, -1, -2, -1]
dulls	-1.0	0.44721	[-1, -1, -1, -1, -1, -1, 0, -1, -1, -2]
dullsville	-2.4	0.8	[-2, -2, -4, -3, -2, -2, -3, -2, -3, -1]
dully	-1.1	0.3	[-1, -1, -1, -1, -1, -1, -1, -1, -1, -2]
dumb	-2.3	0.9	[-4, -2, -2, -2, -2, -2, -4, -2, -2, -1]
dumbass	-2.6	1.0198	[-3, -3, -4, -4, -1, -2, -3, -3, -1, -2]
dumbbell	-0.8	0.9798	[0, -1, -3, -2, 0, -1, 0, 0, -1, 0]
dumbbells	-0.2	0.4	[0, -1, 0, 0, 0, 0, 0, -1, 0, 0]
dumbcane	-0.3	0.45826	[0, 0, 0, 0, 0, -1, -1, 0, -1, 0]
dumbcanes	-0.6	1.2	[0, 0, -1, -1, -1, 2, 0, -1, -3, -1]
dumbed	-1.4	0.4899	[-2, -1, -2, -2, -2, -1, -1, -1, -1, -1]
dumber	-1.5	0.5	[-2, -1, -2, -1, -2, -1, -1, -2, -2, -1]
dumbest	-2.3	1.00499	[-3, -1, -3, -4, -2, -1, -2, -3, -1, -3]
dumbfound	-0.1	1.92094	[3, -2, -1, -1, 1, 1, -3, 3, -1, -1]
dumbfounded	-1.6	1.11355	[-2, 0, -2, 0, -2, -1, -4, -1, -2, -2]
dumbfounder	-1.0	0.89443	[-2, 0, 0, 0, -2, -1, -2, 0, -2, -1]
dumbfounders	-1.0	0.89443	[-1, -3, -1, 0, -2, 0, -1, 0, -1, -1]
dumbfounding	-0.8	0.74833	[-1, -2, 0, -1, -1, 0, 0, -1, 0, -2]
dumbfounds	-0.3	1.26886	[0, -1, -1, 0, 0, -1, -1, -2, 0, 3]
dumbhead	-2.6	0.66332	[-3, -4, -3, -2, -2, -3, -3, -2, -2, -2]
dumbheads	-1.9	0.83066	[-2, -2, -2, -1, -2, -1, -2, -4, -1, -2]
dumbing	-0.5	1.0247	[-1, 2, -1, 0, -1, -2, -1, 0, 0, -1]
dumbly	-1.3	1.00499	[-2, -1, -2, -3, 1, -2, -1, -1, -1, -1]
dumbness	-1.9	0.53852	[-2, -2, -2, -2, -2, -3, -2, -2, -1, -1]
dumbs	-1.5	0.67082	[-1, -1, -1, -3, -2, -1, -2, -1, -2, -1]
dumbstruck	-1.0	1.34164	[-1, -2, 0, 0, -2, 1, -3, 1, -2, -2]
dumbwaiter	0.2	1.07703	[0, 0, 0, 0, 2, 0, 2, 0, -2, 0]
dumbwaiters	-0.1	0.3	[0, 0, 0, 0, 0, 0, -1, 0, 0, 0]
dump	-1.6	0.91652	[-3, -2, -1, -2, -1, -3, -2, -1, -1, 0]
dumpcart	-0.6	0.8	[0, -2, -1, 0, 0, 0, -1, 0, -2, 0]
dumped	-1.7	0.78102	[-2, -3, -2, -1, -1, -1, -3, -2, -1, -1]
dumper	-1.2	0.87178	[-2, -3, -1, -1, -1, -2, 0, -1, 0, -1]
dumpers	-0.8	0.6	[0, 0, -2, -1, -1, 0, -1, -1, -1, -1]
dumpier	-1.4	0.66332	[-2, -1, -2, -1, -1, -2, 0, -2, -1, -2]
dumpiest	-1.6	1.35647	[-1, -2, -2, -3, -2, -4, 1, 0, -1, -2]
dumpiness	-1.2	0.6	[-2, -1, 0, -1, -1, -2, -1, -2, -1, -1]
dumping	-1.3	1.1	[-3, -2, -2, 0, -2, -1, -1, 1, -1, -2]
dumpings	-1.1	0.83066	[-2, 0, -1, -1, 0, -1, -2, -2, 0, -2]
dumpish	-1.8	0.6	[-2, -1, -2, -3, -2, -2, -1, -2, -2, -1]
dumpling	0.4	0.91652	[0, 0, 1, 0, -1, 2, 2, 0, 0, 0]
dumplings	-0.3	1.26886	[0, 0, 0, 0, 2, 0, 0, 0, -2, -3]
dumps	-1.7	0.9	[-3, -2, -3, -1, -1, -3, -1, -1, -1, -1]
dumpster	-0.6	0.91652	[0, -2, 0, -2, 0, 0, 0, -2, 0, 0]
dumpsters	-1.0	0.89443	[0, -1, 0, -2, -2, -2, 0, 0, -1, -2]
dumpy	-1.7	0.78102	[-3, -2, -3, -1, -1, -2, -2, -1, -1, -1]
dupe	-1.5	0.5	[-2, -2, -1, -1, -2, -1, -2, -1, -2, -1]
duped	-1.8	0.4	[-2, -2, -1, -2, -2, -2, -2, -1, -2, -2]
dwell	0.5	0.92195	[2, 1, -1, 0, -1, 1, 1, 1, 1, 0]
dwelled	0.4	0.66332	[2, 0, 0, 0, 0, 1, 1, 0, 0, 0]
dweller	0.3	0.64031	[2, 0, 0, 0, 0, 0, 1, 0, 0, 0]
dwellers	-0.3	0.9	[-3, 0, 0, 0, 0, 0, 0, 0, 0, 0]
dwelling	0.1	0.53852	[0, 1, 0, 1, 0, 0, 0, -1, 0, 0]
dwells	-0.1	0.53852	[0, 0, 0, 0, -1, 1, -1, 0, 0, 0]
dynamic	1.6	0.8	[1, 1, 1, 3, 1, 1, 2, 3, 2, 1]
dynamical	1.2	0.87178	[1, 2, 0, 1, 0, 2, 2, 2, 2, 0]
dynamically	1.5	1.0247	[2, 0, 3, 2, 0, 0, 2, 2, 2, 2]
dynamics	1.1	1.13578	[2, 3, 0, 0, 0, 2, 2, 0, 2, 0]
dynamism	1.6	1.11355	[0, 2, 0, 2, 0, 2, 3, 3, 2, 2]
dynamisms	1.2	0.9798	[2, 0, 2, 0, 0, 2, 2, 2, 0, 2]
dynamist	1.4	1.0198	[0, 2, 0, 2, 0, 1, 3, 2, 2, 2]
dynamistic	1.5	1.0247	[3, 1, 1, 2, 1, 3, 2, 0, 2, 0]
dynamists	0.9	0.83066	[1, 0, 0, 0, 0, 2, 2, 1, 2, 1]
dynamite	0.7	2.2383	[-3, 2, 3, 1, 2, 0, 2, 2, 2, -4]
dynamited	-0.9	1.04403	[0, 0, 0, -1, -1, 0, -2, 0, -2, -3]
dynamiter	-1.2	0.87178	[-1, 0, -1, -1, -2, 0, -1, -1, -2, -3]
dynamiters	0.4	1.42829	[0, 0, 0, -3, 1, 0, 2, 2, 2, 0]
dynamites	-0.3	1.73494	[0, 0, 4, -1, -1, 0, 0, 0, -2, -3]
dynamitic	0.9	1.3	[2, 0, 1, -2, 2, 1, 1, 3, 0, 1]
dynamiting	0.2	1.32665	[-2, 0, 0, 2, -1, -1, 0, 2, 2, 0]
dynamometer	0.3	0.64031	[0, 0, 0, 0, 1, 0, 0, 2, 0, 0]
dynamometers	0.3	0.45826	[0, 0, 0, 0, 0, 1, 0, 1, 1, 0]
dynamometric	0.3	0.9	[0, 0, 0, 0, 0, 2, 0, 0, 2, -1]
dynamometry	0.6	1.28062	[-2, 0, 0, 0, 0, 2, 2, 2, 0, 2]
dynamos	0.3	0.64031	[1, 0, 0, 0, 0, 0, 0, 0, 2, 0]
dynamotor	0.6	0.91652	[0, 2, 0, 0, 0, 0, 2, 0, 2, 0]
dysfunction	-1.8	0.6	[-2, -3, -2, -1, -2, -1, -2, -1, -2, -2]
eager	1.5	0.67082	[1, 3, 1, 2, 2, 2, 1, 1, 1, 1]
eagerly	1.6	0.66332	[0, 1, 2, 2, 2, 2, 2, 1, 2, 2]
eagerness	1.7	0.45826	[2, 2, 2, 2, 1, 1, 2, 2, 2, 1]
eagers	1.6	0.66332	[2, 2, 3, 1, 2, 1, 1, 1, 2, 1]
earnest	2.3	0.64031	[3, 2, 3, 1, 2, 2, 2, 3, 3, 2]
ease	1.5	0.92195	[1, 1, 1, 0, 2, 1, 2, 3, 3, 1]
eased	1.2	0.74833	[2, 0, 1, 0, 2, 2, 1, 1, 1, 2]
easeful	1.5	1.0247	[2, 1, 1, 2, 1, 0, 3, 2, 0, 3]
easefully	1.4	0.4899	[2, 2, 1, 1, 1, 1, 2, 2, 1, 1]
easel	0.3	0.45826	[0, 0, 0, 0, 1, 1, 0, 0, 0, 1]
easement	1.6	0.91652	[0, 1, 2, 3, 2, 1, 2, 1, 3, 1]
easements	0.4	1.11355	[0, 0, 0, 1, 2, -2, 1, 0, 2, 0]
eases	1.3	0.78102	[2, 0, 1, 0, 2, 2, 2, 1, 1, 2]
easier	1.8	0.9798	[1, 1, 2, 2, 4, 3, 2, 1, 1, 1]
easiest	1.8	1.07703	[2, 4, 1, 3, 2, 0, 2, 2, 1, 1]
easily	1.4	0.4899	[2, 1, 1, 2, 1, 2, 1, 2, 1, 1]
easiness	1.6	0.66332	[2, 1, 1, 2, 3, 2, 1, 1, 2, 1]
easing	1.0	0.63246	[0, 0, 2, 1, 1, 2, 1, 1, 1, 1]
easy	1.9	1.04403	[1, 4, 2, 1, 1, 3, 1, 3, 2, 1]
easygoing	1.3	0.45826	[1, 1, 1, 1, 1, 1, 2, 2, 2, 1]
easygoingness	1.5	0.67082	[1, 2, 1, 2, 1, 3, 1, 2, 1, 1]
ecstacy	3.3	1.18743	[4, 4, 3, 4, 4, 0, 3, 3, 4, 4]
ecstasies	2.3	1.34536	[3, 3, 2, 4, 3, 1, 3, -1, 2, 3]
ecstasy	2.9	1.75784	[4, 3, 3, 4, 4, 2, -2, 3, 4, 4]
ecstatic	2.3	1.34536	[3, 4, 3, 4, 1, 1, 1, 4, 1, 1]
ecstatically	2.8	1.93907	[3, 4, -1, 4, 4, 4, -1, 3, 4, 4]
ecstatics	2.9	0.83066	[1, 3, 4, 4, 3, 3, 3, 2, 3, 3]
eerie	-1.5	0.67082	[-1, -1, -2, -2, -1, -1, -2, -1, -3, -1]
eery	-0.9	1.04403	[-3, -1, -2, -1, -2, 0, 0, 0, 0, 0]
effective	2.1	0.83066	[2, 2, 2, 1, 3, 4, 2, 1, 2, 2]
effectively	1.9	0.7	[1, 2, 1, 2, 2, 1, 3, 3, 2, 2]
efficiencies	1.6	0.4899	[2, 1, 1, 2, 2, 2, 1, 2, 2, 1]
efficiency	1.5	0.5	[2, 1, 2, 2, 1, 2, 1, 1, 2, 1]
efficient	1.8	0.9798	[1, 2, 1, 1, 2, 3, 3, 0, 2, 3]
efficiently	1.7	0.78102	[1, 3, 2, 1, 3, 1, 1, 2, 2, 1]
effin	-2.3	1.18743	[0, -3, -3, -3, -2, -1, -4, -1, -3, -3]
egotism	-1.4	0.91652	[-2, -3, -1, -2, -2, 0, 0, -1, -2, -1]
egotisms	-1.0	0.7746	[-1, -1, -1, -1, -1, 0, 0, -1, -3, -1]
egotist	-2.3	0.9	[-2, -1, -2, -3, -4, -2, -3, -3, -1, -2]
egotistic	-1.4	1.0198	[-2, -1, -1, -1, -2, 1, -3, -2, -1, -2]
egotistical	-0.9	1.57797	[-1, -2, -2, -1, -2, 1, -3, 2, 1, -2]
egotistically	-1.8	0.87178	[-2, -1, -1, -2, -1, -3, -3, -1, -1, -3]
egotists	-1.7	0.78102	[-1, -2, 0, -2, -2, -2, -3, -1, -2, -2]
elated	3.2	0.74833	[2, 4, 4, 3, 4, 3, 3, 2, 3, 4]
elation	1.5	1.43178	[1, 2, -2, 2, 2, 3, 0, 3, 2, 2]
elegance	2.1	0.53852	[3, 2, 2, 1, 2, 2, 3, 2, 2, 2]
elegances	1.8	0.6	[2, 2, 1, 1, 2, 2, 2, 3, 2, 1]
elegancies	1.6	1.0198	[2, 1, 2, 1, 1, 0, 4, 1, 2, 2]
elegancy	2.1	0.53852	[3, 2, 2, 1, 2, 2, 3, 2, 2, 2]
elegant	2.1	0.83066	[2, 2, 2, 1, 4, 1, 2, 3, 2, 2]
elegantly	1.9	0.83066	[2, 1, 1, 3, 2, 2, 1, 3, 3, 1]
embarrass	-1.2	1.66132	[-2, -2, -3, -1, -2, -2, 2, 2, -2, -2]
embarrassable	-1.6	0.8	[-3, -2, -1, -3, -1, -1, -1, -2, -1, -1]
embarrassed	-1.5	0.67082	[-2, -2, -1, -2, -1, -3, -1, -1, -1, -1]
embarrassedly	-1.1	1.44568	[-2, -1, -2, -3, 1, -1, -1, -2, -2, 2]
embarrasses	-1.7	0.78102	[-2, -3, -1, -2, -1, -3, -2, -1, -1, -1]
embarrassing	-1.6	0.8	[-3, -1, -1, -1, -1, -2, -1, -2, -3, -1]
embarrassingly	-1.7	0.64031	[-2, -1, -1, -2, -1, -2, -1, -3, -2, -2]
embarrassment	-1.9	0.53852	[-2, -2, -1, -2, -2, -2, -2, -1, -3, -2]
embarrassments	-1.7	0.64031	[-2, -1, -2, -1, -1, -2, -2, -1, -2, -3]
embittered	-0.4	1.35647	[1, -2, -1, 1, -2, 2, 0, -1, 0, -2]
embrace	1.3	1.34536	[3, 2, 1, 3, 2, -1, 2, 1, -1, 1]
emergency	-1.6	2.05913	[-3, -3, -3, -3, -4, 2, 1, -1, 1, -3]
emotional	0.6	1.0198	[1, -1, 0, 0, 0, 2, 0, 2, 2, 0]
empathetic	1.7	1.1	[-1, 3, 2, 2, 2, 1, 3, 1, 2, 2]
emptied	-0.7	0.64031	[-1, 0, 0, 0, -1, -1, -1, -2, 0, -1]
emptier	-0.7	0.64031	[-1, 0, 0, 0, -1, -1, -1, -2, 0, -1]
emptiers	-0.7	0.78102	[0, 0, -1, 0, -1, -1, -2, 0, -2, 0]
empties	-0.7	0.64031	[-1, 0, 0, 0, -1, -1, -1, -2, 0, -1]
emptiest	-1.8	1.07703	[-1, -2, -2, -1, -1, -2, -3, 0, -4, -2]
emptily	-1.0	1.41421	[-2, 2, -1, -1, -1, 0, -4, -1, -1, -1]
emptiness	-1.9	0.7	[-2, -2, -3, -2, -2, -1, -1, -3, -1, -2]
emptinesses	-1.5	1.11803	[-1, -1, -3, -1, -1, -1, -2, 0, -4, -1]
emptins	-0.3	0.45826	[0, 0, 0, -1, 0, 0, 0, -1, -1, 0]
empty	-0.8	0.74833	[-1, -1, -1, -1, -1, -1, -2, 0, -1, 1]
emptying	-0.6	1.0198	[2, -1, -1, 0, -1, 0, -1, -1, -2, -1]
enchanted	1.6	0.8	[1, 3, 1, 2, 1, 3, 1, 2, 1, 1]
encourage	2.3	0.78102	[2, 1, 3, 2, 3, 4, 2, 2, 2, 2]
encouraged	1.5	0.5	[1, 2, 2, 2, 2, 2, 1, 1, 1, 1]
encouragement	1.8	0.9798	[2, 1, 2, 1, 1, 3, 1, 2, 4, 1]
encouragements	2.1	0.7	[3, 2, 3, 2, 1, 2, 3, 2, 2, 1]
encourager	1.5	0.5	[2, 1, 2, 1, 1, 2, 1, 1, 2, 2]
encouragers	1.5	0.5	[2, 2, 1, 1, 2, 2, 1, 1, 2, 1]
encourages	1.9	0.53852	[2, 2, 1, 2, 2, 1, 2, 2, 2, 3]
encouraging	2.4	0.66332	[2, 3, 2, 3, 3, 2, 3, 2, 1, 3]
encouragingly	2.0	0.7746	[1, 1, 1, 3, 2, 2, 2, 3, 2, 3]
endorse	1.3	0.9	[0, 1, 0, 1, 3, 2, 2, 2, 1, 1]
endorsed	1.0	0.89443	[1, 2, 0, 1, 1, 0, 1, 0, 3, 1]
endorsement	1.3	0.9	[0, 1, 2, 2, 1, 2, 0, 1, 3, 1]
endorses	1.4	0.4899	[1, 2, 1, 2, 1, 1, 1, 2, 2, 1]
enemies	-2.2	0.6	[-2, -3, -1, -2, -2, -3, -2, -3, -2, -2]
enemy	-2.5	0.92195	[-3, -2, -3, -3, -3, -4, -1, -3, -1, -2]
energetic	1.9	0.53852	[2, 1, 3, 2, 2, 2, 1, 2, 2, 2]
energetically	1.8	0.6	[2, 2, 1, 1, 2, 2, 3, 1, 2, 2]
energetics	0.3	0.64031	[1, 0, 0, 0, 0, 0, 2, 0, 0, 0]
energies	0.9	1.04403	[1, 0, 0, 2, 0, 1, 3, 2, 0, 0]
energise	2.2	0.4	[2, 2, 2, 2, 2, 2, 3, 2, 3, 2]
energised	2.1	0.53852	[2, 3, 1, 2, 2, 2, 3, 2, 2, 2]
energises	2.2	0.6	[3, 3, 2, 2, 1, 3, 2, 2, 2, 2]
energising	1.9	0.7	[2, 3, 1, 2, 2, 3, 2, 1, 1, 2]
energization	1.6	0.66332	[1, 2, 1, 3, 1, 1, 2, 2, 2, 1]
energizations	1.5	1.11803	[1, 0, 3, 1, 3, 0, 1, 1, 2, 3]
energize	2.1	0.7	[2, 2, 2, 1, 3, 2, 3, 2, 3, 1]
energized	2.3	0.64031	[3, 2, 3, 3, 3, 2, 2, 2, 1, 2]
energizer	2.1	0.53852	[3, 2, 2, 2, 2, 2, 2, 3, 1, 2]
energizers	1.7	0.9	[2, 0, 2, 3, 3, 1, 1, 2, 2, 1]
energizes	2.1	0.53852	[3, 2, 3, 2, 2, 2, 2, 2, 1, 2]
energizing	2.0	0.63246	[3, 3, 2, 1, 2, 2, 1, 2, 2, 2]
energy	1.1	0.83066	[0, 2, 0, 2, 1, 1, 2, 1, 2, 0]
engage	1.4	0.8	[1, 2, 3, 2, 1, 1, 0, 1, 2, 1]
engaged	1.7	1.1	[1, 1, 2, 2, 1, 0, 2, 3, 4, 1]
engagement	2.0	1.34164	[0, 0, 3, 4, 4, 2, 1, 2, 2, 2]
engagements	0.6	0.8	[1, 0, 0, 2, 0, 2, 0, 0, 1, 0]
engager	1.1	0.7	[1, 1, 0, 2, 1, 0, 2, 1, 2, 1]
engagers	1.0	0.7746	[1, 1, 1, 0, 2, 1, 0, 2, 2, 0]
engages	1.0	0.7746	[1, 1, 0, 2, 1, 0, 1, 2, 2, 0]
engaging	1.4	0.4899	[2, 2, 1, 1, 2, 1, 1, 1, 1, 2]
engagingly	1.5	0.67082	[1, 2, 3, 1, 1, 1, 1, 1, 2, 2]
engrossed	0.6	1.49666	[0, 2, 0, 2, -2, 2, 3, -1, 0, 0]
enjoy	2.2	0.6	[3, 2, 2, 2, 3, 2, 2, 3, 2, 1]
enjoyable	1.9	0.53852	[3, 2, 2, 1, 2, 1, 2, 2, 2, 2]
enjoyableness	1.9	1.13578	[2, 2, 2, 2, 1, 3, 3, 3, -1, 2]
enjoyably	1.8	0.4	[2, 2, 2, 1, 2, 1, 2, 2, 2, 2]
enjoyed	2.3	0.64031	[2, 2, 1, 3, 3, 3, 2, 2, 2, 3]
enjoyer	2.2	0.6	[2, 2, 1, 3, 3, 2, 2, 2, 2, 3]
enjoyers	2.2	0.74833	[2, 4, 2, 2, 2, 2, 2, 3, 2, 1]
enjoying	2.4	0.66332	[2, 2, 2, 3, 3, 3, 1, 3, 2, 3]
enjoyment	2.6	0.4899	[2, 3, 2, 3, 2, 3, 2, 3, 3, 3]
enjoyments	2.0	0.7746	[3, 1, 1, 3, 2, 1, 2, 2, 2, 3]
enjoys	2.3	0.45826	[2, 3, 2, 2, 2, 3, 2, 3, 2, 2]
enlighten	2.3	1.1	[2, 2, 1, 3, 2, 1, 1, 4, 3, 4]
enlightened	2.2	0.87178	[4, 2, 3, 1, 2, 2, 1, 3, 2, 2]
enlightening	2.3	0.64031	[3, 2, 2, 2, 2, 2, 2, 4, 2, 2]
enlightens	1.7	1.00499	[2, 1, 1, 1, 1, 2, 4, 1, 3, 1]
ennui	-1.2	0.6	[-1, -1, -1, -2, -1, -1, -2, -1, 0, -2]
enrage	-2.6	0.91652	[-3, -3, -3, -4, -1, -1, -3, -2, -3, -3]
enraged	-1.7	1.79165	[-3, -3, -3, -3, 2, -1, -3, -1, 1, -3]
enrages	-1.8	1.6	[-3, -3, -3, -3, 1, -1, -3, -1, 1, -3]
enraging	-2.8	0.74833	[-4, -2, -3, -2, -2, -3, -3, -2, -4, -3]
enrapture	3.0	0.63246	[2, 4, 3, 3, 4, 3, 3, 2, 3, 3]
enslave	-3.1	0.9434	[-3, -4, -2, -4, -4, -2, -4, -2, -4, -2]
enslaved	-1.7	2.41039	[3, -3, -3, -3, -4, -4, -4, 1, -1, 1]
enslaves	-1.6	2.15407	[2, -2, -3, -2, -4, -4, -4, 1, -1, 1]
ensure	1.6	0.91652	[2, 1, 3, 1, 1, 2, 3, 2, 0, 1]
ensuring	1.1	0.9434	[0, 1, 3, 1, 1, 2, 1, 0, 2, 0]
enterprising	2.3	0.78102	[3, 2, 1, 3, 3, 2, 1, 2, 3, 3]
entertain	1.3	0.64031	[1, 2, 1, 1, 2, 1, 2, 0, 1, 2]
entertained	1.7	0.64031	[1, 2, 2, 1, 2, 1, 1, 3, 2, 2]
entertainer	1.6	1.2	[1, 4, 2, 2, 0, 0, 1, 3, 1, 2]
entertainers	1.0	0.7746	[0, 1, 2, 2, 0, 0, 1, 1, 2, 1]
entertaining	1.9	0.83066	[1, 2, 1, 1, 3, 2, 3, 2, 3, 1]
entertainingly	1.9	0.53852	[2, 1, 2, 3, 2, 2, 1, 2, 2, 2]
entertainment	1.8	0.9798	[2, 0, 4, 2, 2, 1, 2, 2, 1, 2]
entertainments	2.3	1.18743	[3, 3, 3, 2, 1, 0, 3, 4, 1, 3]
entertains	2.4	0.66332	[2, 2, 2, 2, 2, 3, 4, 3, 2, 2]
enthral	0.4	1.42829	[2, 2, 0, 2, 0, -1, -2, 2, 0, -1]
enthuse	1.6	0.66332	[1, 2, 1, 1, 3, 1, 2, 2, 2, 1]
enthused	2.0	0.63246	[3, 3, 1, 2, 2, 2, 2, 1, 2, 2]
enthuses	1.7	0.78102	[2, 3, 1, 2, 1, 3, 1, 1, 1, 2]
enthusiasm	1.9	0.9434	[3, 3, 3, 2, 1, 0, 2, 1, 2, 2]
enthusiasms	2.0	0.89443	[1, 3, 2, 2, 3, 2, 0, 2, 3, 2]
enthusiast	1.5	0.67082	[1, 2, 2, 2, 0, 1, 1, 2, 2, 2]
enthusiastic	2.2	0.9798	[1, 2, 3, 4, 2, 3, 2, 1, 1, 3]
enthusiastically	2.6	0.66332	[3, 3, 3, 2, 3, 3, 3, 3, 2, 1]
enthusiasts	1.4	0.91652	[1, 1, 0, 3, 3, 2, 1, 1, 1, 1]
enthusing	1.9	0.7	[2, 1, 2, 1, 2, 3, 2, 1, 2, 3]
entitled	1.1	0.83066	[2, 2, 1, 1, 2, 1, 1, -1, 1, 1]
entrusted	0.8	1.46969	[3, 0, 2, 2, 1, 1, -1, 0, -2, 2]
envied	-1.1	0.83066	[-1, -2, -2, 1, -2, -1, -1, -1, -1, -1]
envier	-1.0	0.7746	[-1, -2, -2, -1, -1, 1, -1, -1, -1, -1]
enviers	-1.1	1.13578	[-3, -1, 0, -3, -1, -1, -1, -1, 1, -1]
envies	-0.8	0.9798	[-1, -2, -2, 1, -1, 1, -1, -1, -1, -1]
envious	-1.1	0.83066	[-2, -1, -1, -1, -2, -1, -1, 1, -2, -1]
envy	-1.1	0.83066	[-2, -1, -1, -2, -1, -1, -1, 1, -1, -2]
envying	-0.8	1.32665	[-1, -1, -1, -1, -3, 2, -2, -1, 1, -1]
envyingly	-1.3	1.55242	[-2, 3, -2, -2, -1, -3, -1, -1, -2, -2]
erroneous	-1.8	0.6	[-2, -3, -2, -2, -2, -2, -1, -1, -1, -2]
error	-1.7	0.64031	[-2, -1, -2, -1, -2, -1, -1, -2, -3, -2]
errors	-1.4	0.66332	[-2, -1, -2, 0, -2, -2, -1, -1, -1, -2]
escape	0.7	1.00499	[2, 0, 0, 1, 0, 1, 0, 3, 0, 0]
escapes	0.5	1.36015	[4, 1, 1, 0, -1, 0, -1, 0, 1, 0]
escaping	0.2	1.46969	[-2, 2, -1, 0, 1, 0, 2, 2, -2, 0]
esteemed	1.9	0.83066	[3, 2, 1, 2, 3, 1, 1, 2, 3, 1]
ethical	2.3	0.78102	[3, 3, 3, 3, 2, 2, 1, 3, 2, 1]
euphoria	3.3	0.9	[4, 4, 3, 3, 3, 4, 4, 4, 1, 3]
euphoric	3.2	0.87178	[3, 4, 3, 3, 3, 4, 4, 4, 1, 3]
eviction	-2.0	0.63246	[-2, -2, -3, -2, -3, -2, -1, -2, -1, -2]
evil	-3.4	0.91652	[-4, -4, -4, -3, -3, -4, -1, -4, -3, -4]
evildoer	-3.1	0.7	[-2, -3, -3, -3, -4, -4, -3, -2, -3, -4]
evildoers	-2.4	0.4899	[-3, -3, -2, -2, -2, -2, -2, -2, -3, -3]
evildoing	-3.1	0.7	[-4, -4, -3, -3, -3, -4, -2, -3, -2, -3]
evildoings	-2.5	1.0247	[-3, -1, -1, -3, -4, -2, -4, -2, -2, -3]
eviler	-2.1	1.13578	[-2, -1, -3, -2, -4, -3, -1, -2, 0, -3]
evilest	-2.5	1.0247	[-3, -4, -1, -3, -2, -3, -1, -4, -2, -2]
eviller	-2.9	0.83066	[-3, -3, -4, -2, -2, -3, -2, -4, -2, -4]
evillest	-3.3	0.78102	[-3, -4, -2, -3, -4, -2, -4, -4, -3, -4]
evilly	-3.4	0.8	[-2, -4, -4, -4, -3, -4, -4, -4, -3, -2]
evilness	-3.1	1.04403	[-3, -4, -4, -4, -4, -2, -3, -2, -1, -4]
evils	-2.7	0.78102	[-3, -2, -2, -4, -4, -2, -3, -2, -3, -2]
exaggerate	-0.6	0.66332	[-1, -1, -1, 0, -1, 0, 1, -1, -1, -1]
exaggerated	-0.4	1.2	[-1, -1, -1, -1, -1, 2, 1, 1, -2, -1]
exaggerates	-0.6	1.28062	[-1, -1, -1, -1, -1, 1, 0, 2, -3, -1]
exaggerating	-0.7	0.9	[-1, -2, 0, -1, 0, 0, -2, -1, 1, -1]
exasperated	-1.8	1.53623	[-4, -3, -3, -1, -1, -1, 1, -1, -4, -1]
excel	2.0	1.0	[3, 0, 2, 3, 1, 1, 3, 3, 2, 2]
excelled	2.2	0.87178	[1, 2, 2, 2, 3, 2, 4, 3, 2, 1]
excellence	3.1	0.9434	[4, 3, 4, 3, 2, 3, 1, 4, 3, 4]
excellences	2.5	0.92195	[4, 2, 2, 2, 4, 3, 2, 2, 3, 1]
excellencies	2.4	0.4899	[3, 2, 3, 3, 2, 2, 2, 2, 3, 2]
excellency	2.5	0.80623	[4, 2, 3, 3, 2, 3, 1, 3, 2, 2]
excellent	2.7	0.64031	[2, 3, 3, 3, 3, 2, 3, 2, 2, 4]
excellently	3.1	0.7	[4, 3, 3, 3, 2, 3, 3, 4, 4, 2]
excelling	2.5	0.67082	[2, 2, 3, 3, 3, 2, 2, 4, 2, 2]
excels	2.5	0.92195	[4, 2, 4, 2, 2, 1, 2, 3, 3, 2]
excelsior	0.7	0.64031	[1, 0, 0, 2, 0, 1, 1, 1, 1, 0]
excitabilities	1.5	1.0247	[2, 0, 1, 1, 3, 1, 2, 3, 2, 0]
excitability	1.2	0.87178	[0, 1, 1, 0, 1, 2, 3, 1, 2, 1]
excitable	1.5	0.92195	[2, 3, 1, 0, 1, 2, 2, 0, 2, 2]
excitableness	1.0	1.09545	[0, 0, 2, 0, 2, 0, 2, 0, 1, 3]
excitant	1.8	1.16619	[1, 0, 1, 3, 2, 0, 3, 3, 2, 3]
excitants	1.2	0.9798	[1, 0, 1, 2, 2, 2, 1, -1, 2, 2]
excitation	1.8	0.87178	[2, 0, 3, 1, 3, 2, 2, 2, 1, 2]
excitations	1.8	1.16619	[3, 3, -1, 2, 2, 2, 1, 1, 3, 2]
excitative	0.3	0.78102	[0, 1, 1, 0, 0, 0, 2, 0, -1, 0]
excitatory	1.1	1.7	[-1, 2, 2, 1, 2, 2, 2, 3, -3, 1]
excite	2.1	1.22066	[1, 2, 2, 1, 2, 0, 4, 4, 3, 2]
excited	1.4	0.4899	[1, 1, 2, 1, 2, 1, 2, 1, 1, 2]
excitedly	2.3	0.9	[3, 3, 2, 3, 1, 3, 1, 3, 1, 3]
excitement	2.2	0.4	[2, 2, 2, 3, 3, 2, 2, 2, 2, 2]
excitements	1.9	0.53852	[2, 1, 2, 3, 2, 2, 2, 2, 2, 1]
exciter	1.9	0.9434	[3, 2, 3, 1, 0, 1, 2, 3, 2, 2]
exciters	1.4	1.42829	[1, 2, 0, 1, 2, 4, 0, -1, 3, 2]
excites	2.1	0.83066	[2, 3, 3, 2, 0, 2, 2, 3, 2, 2]
exciting	2.2	0.87178	[3, 2, 1, 1, 1, 3, 3, 3, 2, 3]
excitingly	1.9	0.9434	[3, 2, 3, 0, 1, 2, 1, 2, 2, 3]
exciton	0.3	0.64031	[2, 0, 0, 0, 0, 0, 1, 0, 0, 0]
excitonic	0.2	0.6	[0, 0, 0, 0, 2, 0, 0, 0, 0, 0]
excitons	0.8	0.6	[1, 2, 0, 1, 1, 0, 0, 1, 1, 1]
excitor	0.5	0.67082	[2, 0, 0, 0, 1, 1, 1, 0, 0, 0]
exclude	-0.9	1.13578	[-1, -2, -1, -3, -1, 1, -1, -1, 1, -1]
excluded	-1.4	1.62481	[-2, -1, -3, -3, -2, -3, -2, 1, -1, 2]
exclusion	-1.2	1.249	[-2, -2, -3, -1, -2, -1, -1, -1, 2, -1]
exclusive	0.5	0.92195	[0, 0, 0, -1, 2, 0, 1, 2, 1, 0]
excruciate	-2.7	0.64031	[-2, -3, -2, -3, -3, -2, -4, -3, -2, -3]
excruciated	-1.3	1.9	[-4, -1, -4, 0, 2, -2, -1, -1, -3, 1]
excruciates	-1.0	2.19089	[-4, 1, -4, 0, 1, -3, -1, 1, -3, 2]
excruciating	-3.3	0.9	[-3, -4, -4, -4, -4, -4, -4, -2, -2, -2]
excruciatingly	-2.9	1.04403	[-2, -4, -3, -2, -4, -1, -2, -3, -4, -4]
excruciation	-3.4	0.66332	[-4, -3, -2, -4, -4, -3, -4, -3, -3, -4]
excruciations	-1.9	1.51327	[-3, -3, -2, -4, -1, -1, 1, -4, -1, -1]
excuse	0.3	1.73494	[0, 0, 3, -1, 0, -1, -2, 0, 4, 0]
exempt	0.4	0.91652	[1, 0, 0, 0, 2, -1, 0, 0, 2, 0]
exhaust	-1.2	0.87178	[0, -1, 0, -1, -1, -3, -2, -2, -1, -1]
exhausted	-1.5	1.28452	[-2, -1, 2, -2, -3, -2, -2, -1, -2, -2]
exhauster	-1.3	0.64031	[-1, -1, 0, -1, -2, -1, -1, -2, -2, -2]
exhausters	-1.3	0.45826	[-2, -1, -2, -1, -1, -2, -1, -1, -1, -1]
exhaustibility	-0.8	1.07703	[0, -2, -3, 0, 1, -1, -1, -1, 0, -1]
exhaustible	-1.0	0.63246	[-1, -1, 0, -1, -2, -2, -1, 0, -1, -1]
exhausting	-1.5	0.5	[-1, -2, -1, -1, -2, -1, -2, -2, -1, -2]
exhaustion	-1.5	0.92195	[-2, -1, 1, -2, -2, -2, -2, -1, -2, -2]
exhaustions	-1.1	0.9434	[-1, -3, -2, -1, -1, -1, -1, 1, -1, -1]
exhaustive	-0.5	0.67082	[-1, -1, 0, -1, -2, 0, 0, 0, 0, 0]
exhaustively	-0.7	0.78102	[-2, 0, -1, -1, -1, -2, 0, 0, 0, 0]
exhaustiveness	-1.1	1.3	[-2, -2, 0, -1, -1, 1, -4, -1, 0, -1]
exhaustless	0.2	1.8868	[1, 1, 0, 2, 3, 0, -2, 2, -2, -3]
exhaustlessness	0.9	1.75784	[2, 2, 1, 1, -4, 2, 1, 2, 0, 2]
exhausts	-1.1	0.53852	[-2, -1, 0, -1, -1, -2, -1, -1, -1, -1]
exhilarated	3.0	0.63246	[3, 3, 3, 3, 2, 2, 4, 4, 3, 3]
exhilarates	2.8	1.07703	[4, 3, 3, 3, 0, 2, 3, 4, 3, 3]
exhilarating	1.7	1.61555	[3, 4, 3, 2, -1, 1, 1, 3, -1, 2]
exonerate	1.8	0.74833	[2, 2, 2, 2, 3, 2, 1, 0, 2, 2]
exonerated	1.8	1.83303	[3, -2, 2, 3, 2, 4, 3, 1, -1, 3]
exonerates	1.6	1.90788	[3, -2, 1, 2, 3, 4, 0, 3, -1, 3]
exonerating	1.0	1.41421	[2, -2, 3, 0, 0, 2, 0, 2, 2, 1]
expand	1.3	0.64031	[0, 2, 2, 1, 1, 1, 2, 1, 2, 1]
expands	0.4	0.66332	[0, 1, 0, 0, 0, 0, 0, 0, 2, 1]
expel	-1.9	1.44568	[0, -4, -3, -1, -3, -1, 0, -2, -4, -1]
expelled	-1.0	1.94936	[-1, -2, 2, -2, -4, -3, -2, 1, 2, -1]
expelling	-1.6	1.49666	[-2, -2, -2, -2, -2, -3, -4, -1, 1, 1]
expels	-1.6	1.11355	[-4, -2, 0, -3, -1, -1, -1, -2, -1, -1]
exploit	-0.4	1.62481	[-2, -1, -1, 2, -2, -2, 2, -1, 2, -1]
exploited	-2.0	1.0	[-3, -3, -1, -1, -1, -4, -2, -2, -1, -2]
exploiting	-1.9	1.22066	[0, -3, -3, 0, -2, -3, -1, -1, -3, -3]
exploits	-1.4	0.8	[-2, -2, -2, -1, -1, 0, -2, 0, -2, -2]
exploration	0.9	0.7	[2, 2, 0, 1, 1, 0, 1, 0, 1, 1]
explorations	0.3	1.1	[1, 1, 0, 0, 1, 2, 1, -2, -1, 0]
expose	-0.6	0.8	[-1, -1, 0, 0, -2, 1, -1, 0, -1, -1]
exposed	-0.3	1.18743	[-2, -1, 0, 2, 0, 0, -1, 1, -2, 0]
exposes	-0.5	0.92195	[-1, -1, 0, 2, -1, 0, -1, -1, -1, -1]
exposing	-1.1	0.7	[-2, -2, -1, -1, 0, -2, -1, -1, 0, -1]
extend	0.7	0.78102	[2, 0, 0, 0, 1, 2, 1, 1, 0, 0]
extends	0.5	0.80623	[2, 0, 2, 0, 0, 0, 1, 0, 0, 0]
exuberant	2.8	0.6	[2, 3, 2, 3, 2, 4, 3, 3, 3, 3]
exultant	3.0	1.18322	[4, 4, 3, 0, 3, 4, 3, 3, 2, 4]
exultantly	1.4	1.49666	[3, 2, 4, 1, 1, 2, -2, 1, 1, 1]
fab	2.0	1.0	[2, 1, 1, 3, 1, 2, 2, 4, 3, 1]
fabulous	2.4	0.8	[2, 2, 3, 4, 3, 3, 1, 2, 2, 2]
fabulousness	2.8	1.07703	[4, 1, 4, 3, 1, 3, 3, 2, 4, 3]
fad	0.9	0.83066	[2, 0, 1, 1, 1, 0, 0, 2, 2, 0]
fag	-2.1	0.83066	[-3, -1, -2, -4, -2, -2, -2, -1, -2, -2]
faggot	-3.4	0.8	[-2, -4, -4, -3, -2, -4, -4, -4, -3, -4]
faggots	-3.2	0.9798	[-2, -4, -4, -4, -3, -4, -4, -3, -1, -3]
fail	-2.5	0.67082	[-2, -3, -3, -3, -4, -2, -2, -2, -2, -2]
failed	-2.3	0.9	[-2, -3, -1, -2, -2, -1, -3, -3, -4, -2]
failing	-2.3	1.1	[-2, -3, -3, -3, -4, -1, -2, -2, 0, -3]
failingly	-1.4	0.8	[-1, -3, -2, -1, 0, -1, -2, -1, -2, -1]
failings	-2.2	1.07703	[-2, -2, -3, -4, -1, -2, -1, -1, -4, -2]
faille	0.1	0.3	[0, 0, 0, 0, 0, 0, 1, 0, 0, 0]
fails	-1.8	0.74833	[-2, -3, -2, -3, -2, -2, -1, -1, -1, -1]
failure	-2.3	1.00499	[-3, -1, -3, -2, -1, -2, -3, -1, -4, -3]
failures	-2.0	0.63246	[-1, -2, -1, -2, -3, -2, -2, -3, -2, -2]
fainthearted	-0.3	1.34536	[3, -1, -1, -1, -2, -1, 0, 1, -1, 0]
fair	1.3	1.00499	[0, 1, 1, 2, 4, 1, 1, 1, 1, 1]
faith	1.8	0.6	[1, 3, 2, 2, 1, 2, 2, 2, 1, 2]
faithed	1.3	1.00499	[3, 2, 1, 2, 1, 2, -1, 1, 1, 1]
faithful	1.9	0.83066	[1, 3, 2, 2, 1, 1, 3, 3, 2, 1]
faithfully	1.8	1.07703	[3, 1, 2, 2, 4, 1, 0, 1, 2, 2]
faithfulness	1.9	0.53852	[1, 2, 2, 3, 2, 2, 2, 1, 2, 2]
faithless	-1.0	0.89443	[-1, -1, -1, -2, -2, -1, -1, 0, 1, -2]
faithlessly	-0.9	1.51327	[-1, -2, -1, -3, -2, -1, 3, 0, -1, -1]
faithlessness	-1.8	1.249	[-3, -2, 1, -2, -2, -1, -2, -1, -4, -2]
faiths	1.8	0.9798	[2, 3, 1, 1, 3, 3, 0, 2, 2, 1]
fake	-2.1	0.9434	[-2, -2, -1, -1, -1, -3, -3, -4, -2, -2]
fakes	-1.8	1.07703	[-2, -3, -2, -2, -3, 1, -2, -2, -1, -2]
faking	-1.8	0.87178	[-3, -1, -2, -1, -2, -2, -3, -2, 0, -2]
fallen	-1.5	0.80623	[-1, -1, -2, -2, -1, -3, 0, -1, -2, -2]
falling	-0.6	1.8	[-2, -2, -1, 0, -1, 3, -3, 2, 0, -2]
falsified	-1.6	0.91652	[-4, -1, -1, -2, -1, -1, -2, -2, -1, -1]
falsify	-2.0	0.7746	[-2, -1, -3, -3, -1, -2, -2, -2, -1, -3]
fame	1.9	1.13578	[0, 2, 1, 2, 2, 4, 1, 3, 3, 1]
fan	1.3	0.78102	[2, 0, 1, 1, 2, 1, 1, 3, 1, 1]
fantastic	2.6	0.91652	[1, 3, 3, 3, 2, 4, 4, 2, 2, 2]
fantastical	2.0	1.18322	[-1, 3, 2, 2, 2, 2, 3, 1, 3, 3]
fantasticalities	2.1	1.04403	[2, 4, 2, 2, 1, 1, 2, 4, 1, 2]
fantasticality	1.7	1.26886	[4, 1, 0, 2, 2, 1, 4, 1, 1, 1]
fantasticalness	1.3	1.9	[2, 3, -3, 0, 3, 2, 2, 3, -1, 2]
fantasticate	1.5	1.96214	[1, 2, -3, 1, 4, 1, 3, 4, 0, 2]
fantastico	0.4	1.49666	[0, 0, 2, 0, 2, -2, 1, -1, -1, 3]
farce	-1.7	0.45826	[-2, -2, -1, -2, -2, -1, -1, -2, -2, -2]
fascinate	2.4	1.0198	[4, 2, 2, 3, 1, 2, 3, 4, 1, 2]
fascinated	2.1	0.83066	[2, 2, 2, 3, 1, 2, 4, 2, 1, 2]
fascinates	2.0	0.44721	[2, 3, 1, 2, 2, 2, 2, 2, 2, 2]
fascination	2.2	0.74833	[2, 1, 3, 3, 2, 3, 2, 2, 1, 3]
fascinating	2.5	0.92195	[3, 3, 3, 4, 2, 3, 2, 3, 1, 1]
fascist	-2.6	0.8	[-3, -3, -2, -2, -2, -3, -1, -3, -4, -3]
fascists	-0.8	1.6	[-2, -3, -1, 1, -1, 2, -3, 1, -1, -1]
fatal	-2.5	1.62788	[-2, -3, -3, -4, -3, -3, 2, -4, -2, -3]
fatalism	-0.6	1.8	[0, 0, -3, -4, -1, 1, 0, 2, -2, 1]
fatalisms	-1.7	0.9	[-2, -4, -2, -2, -2, -1, -1, -1, -1, -1]
fatalist	-0.5	1.56525	[0, 0, -1, -4, -1, 2, 0, 1, -2, 0]
fatalistic	-1.0	1.34164	[-3, -1, -3, -1, 1, 0, 1, -2, -1, -1]
fatalists	-1.2	0.87178	[0, -2, -1, -2, -1, 0, -1, -1, -3, -1]
fatalities	-2.9	0.7	[-2, -3, -3, -4, -2, -2, -3, -4, -3, -3]
fatality	-3.5	0.67082	[-2, -4, -4, -4, -3, -4, -4, -4, -3, -3]
fatally	-3.2	0.74833	[-3, -2, -4, -2, -3, -4, -4, -3, -3, -4]
fatigue	-1.0	0.7746	[-2, -1, -1, -1, 1, -1, -2, -1, -1, -1]
fatigued	-1.4	0.4899	[-2, -1, -1, -2, -1, -1, -2, -2, -1, -1]
fatigues	-1.3	1.00499	[-2, -1, -1, -2, -1, 1, -3, -2, -1, -1]
fatiguing	-1.2	0.6	[-1, -2, -2, -1, 0, -2, -1, -1, -1, -1]
fatiguingly	-1.5	0.80623	[-1, 0, -3, -2, -1, -1, -2, -1, -2, -2]
fault	-1.7	0.64031	[-1, -2, -2, -2, -1, -1, -2, -2, -1, -3]
faulted	-1.4	0.4899	[-2, -2, -1, -2, -1, -1, -1, -1, -2, -1]
faultfinder	-0.8	1.32665	[-3, -2, -2, -1, 1, 1, 1, -1, -1, -1]
faultfinders	-1.5	0.80623	[-2, -2, -1, -3, -2, -1, 0, -1, -1, -2]
faultfinding	-2.1	0.83066	[-3, -2, -1, -2, -1, -3, -1, -3, -2, -3]
faultier	-2.1	0.7	[-3, -3, -3, -1, -2, -2, -2, -1, -2, -2]
faultiest	-2.1	0.53852	[-3, -1, -2, -2, -2, -2, -2, -2, -3, -2]
faultily	-2.0	0.89443	[-2, -2, -2, -3, -2, -1, 0, -3, -2, -3]
faultiness	-1.5	0.92195	[-1, -1, -3, -1, 0, -2, -3, -1, -2, -1]
faulting	-1.4	0.4899	[-1, -2, -1, -1, -2, -1, -1, -2, -1, -2]
faultless	2.0	1.41421	[3, 2, 0, 1, 3, 1, 4, 0, 2, 4]
faultlessly	2.0	1.09545	[3, 3, 2, 2, 0, 3, 2, 3, 2, 0]
faultlessness	1.1	2.02237	[3, 2, 4, 2, 1, -1, -2, 1, -2, 3]
faults	-2.1	0.3	[-2, -2, -2, -2, -2, -2, -3, -2, -2, -2]
faulty	-1.3	0.45826	[-1, -1, -1, -1, -2, -2, -2, -1, -1, -1]
fav	2.0	0.63246	[2, 1, 2, 2, 2, 1, 3, 2, 3, 2]
fave	1.9	1.51327	[1, 3, -2, 3, 2, 3, 1, 3, 2, 3]
favor	1.7	0.64031	[2, 2, 2, 2, 2, 2, 0, 1, 2, 2]
favorable	2.1	0.7	[2, 1, 2, 3, 1, 2, 2, 3, 3, 2]
favorableness	2.2	0.87178	[1, 2, 1, 3, 2, 2, 2, 4, 2, 3]
favorably	1.6	0.66332	[2, 1, 1, 1, 1, 2, 2, 2, 3, 1]
favored	1.8	0.6	[2, 2, 1, 1, 3, 1, 2, 2, 2, 2]
favorer	1.3	1.18743	[2, 2, 1, 1, -2, 1, 2, 2, 2, 2]
favorers	1.4	0.4899	[2, 2, 1, 2, 1, 2, 1, 1, 1, 1]
favoring	1.8	0.6	[2, 1, 1, 3, 2, 2, 1, 2, 2, 2]
favorite	2.0	0.63246	[2, 1, 3, 1, 2, 2, 2, 3, 2, 2]
favorited	1.7	0.45826	[1, 2, 2, 1, 2, 2, 2, 1, 2, 2]
favorites	1.8	0.6	[1, 2, 1, 3, 2, 2, 1, 2, 2, 2]
favoritism	0.7	1.79165	[-1, 3, -1, -1, 2, -2, 2, 2, 3, 0]
favoritisms	0.7	0.9	[0, 2, -1, 1, 0, 0, 1, 1, 2, 1]
favors	1.0	0.7746	[2, 1, 1, 1, 2, 1, -1, 1, 1, 1]
favour	1.9	0.53852	[2, 1, 2, 3, 2, 2, 2, 1, 2, 2]
favoured	1.8	0.4	[1, 2, 2, 2, 1, 2, 2, 2, 2, 2]
favourer	1.6	0.4899	[1, 2, 2, 1, 1, 2, 2, 2, 1, 2]
favourers	1.6	0.66332	[2, 2, 1, 0, 2, 2, 1, 2, 2, 2]
favouring	1.3	0.45826	[1, 2, 1, 1, 2, 1, 1, 1, 1, 2]
favours	1.8	0.6	[3, 2, 1, 2, 1, 2, 2, 1, 2, 2]
fear	-2.2	0.6	[-2, -3, -2, -3, -2, -1, -2, -3, -2, -2]
feared	-2.2	0.6	[-2, -3, -2, -1, -3, -2, -3, -2, -2, -2]
fearful	-2.2	0.87178	[-2, -2, -3, -1, -2, -3, -2, -2, -4, -1]
fearfuller	-2.2	0.87178	[-1, -4, -2, -2, -1, -2, -3, -2, -3, -2]
fearfullest	-2.5	1.0247	[-3, -3, -4, -4, -3, -2, -1, -2, -2, -1]
fearfully	-2.2	0.87178	[-2, -2, -2, -1, -1, -3, -4, -2, -3, -2]
fearfulness	-1.8	0.87178	[-1, -1, -1, -2, -2, -1, -4, -2, -2, -2]
fearing	-2.7	0.9	[-3, -3, -3, -2, -4, -2, -1, -3, -2, -4]
fearless	1.9	0.83066	[3, 3, 3, 2, 2, 2, 1, 1, 1, 1]
fearlessly	1.1	1.22066	[2, -2, 1, 1, 2, 1, 3, 1, 1, 1]
fearlessness	1.1	1.13578	[3, 2, -1, 2, 0, 2, 1, 1, 1, 0]
fears	-1.8	0.6	[-2, -2, -3, -2, -2, -1, -1, -2, -1, -2]
fearsome	-1.7	0.64031	[-3, -1, -1, -2, -1, -2, -2, -2, -1, -2]
fed up	-1.8	1.249	[-2, -2, -3, -4, -2, -2, -1, -2, -1, 1]
feeble	-1.2	1.249	[-2, -2, -3, -1, -1, -2, -1, -1, 2, -1]
feeling	0.5	1.0247	[0, 0, 0, 3, 0, 2, 0, 0, 0, 0]
felonies	-2.5	0.5	[-3, -3, -3, -2, -2, -2, -2, -3, -2, -3]
felony	-2.5	1.36015	[-4, -3, -4, -2, -3, -3, -2, -3, -2, 1]
ferocious	-0.4	1.56205	[1, 1, -2, -3, -1, 2, 1, -2, -1, 0]
ferociously	-1.1	1.86815	[-3, -4, 2, -2, 0, -2, -1, -1, 2, -2]
ferociousness	-1.0	1.89737	[2, -4, -2, 0, -2, -3, -1, 0, 2, -2]
ferocities	-1.0	1.54919	[1, 0, -2, 0, 0, -3, 0, 0, -2, -4]
ferocity	-0.7	1.67631	[-2, -1, -4, 0, 0, -3, 1, 1, 0, 1]
fervent	1.1	1.44568	[3, 0, 0, 1, -2, 2, 2, 3, 1, 1]
fervid	0.5	2.20227	[4, -2, 1, -2, 4, 0, -1, 2, 1, -2]
festival	2.2	0.6	[2, 2, 3, 2, 3, 2, 2, 2, 3, 1]
festivalgoer	1.3	1.1	[1, 3, 2, 3, 0, 0, 1, 2, 0, 1]
festivalgoers	1.2	0.9798	[2, 2, 0, 0, 0, 2, 2, 0, 2, 2]
festivals	1.5	1.11803	[2, 0, 2, 3, 0, 3, 2, 1, 2, 0]
festive	2.0	0.63246	[2, 3, 2, 3, 1, 2, 2, 2, 1, 2]
festively	2.2	0.6	[2, 2, 3, 1, 3, 2, 3, 2, 2, 2]
festiveness	2.4	0.8	[1, 3, 2, 1, 3, 3, 3, 3, 2, 3]
festivities	2.1	0.7	[1, 2, 1, 2, 3, 2, 3, 3, 2, 2]
festivity	2.2	1.07703	[3, 3, 3, 0, 2, 1, 3, 3, 1, 3]
feud	-1.4	0.66332	[-3, -2, -1, -2, -1, -1, -1, -1, -1, -1]
feudal	-0.8	0.87178	[-1, -2, -2, 0, 0, 0, -2, -1, 0, 0]
feudalism	-0.9	1.37477	[-2, -3, -2, -3, 0, 0, 1, 0, 0, 0]
feudalisms	-0.2	0.74833	[0, 0, 0, 0, 0, 0, -1, 0, -2, 1]
feudalist	-0.9	1.13578	[-2, -2, -2, -2, 0, 0, 1, 0, 0, -2]
feudalistic	-1.1	0.7	[0, -1, -1, 0, -2, -1, -2, -1, -2, -1]
feudalities	-0.4	1.0198	[-1, 0, -1, -2, -1, 0, -1, 0, 0, 2]
feudality	-0.5	1.28452	[1, -1, 0, -1, 1, 0, -3, -2, 1, -1]
feudalization	-0.3	1.18743	[-2, -2, 0, 0, 2, 0, -1, -1, 1, 0]
feudalize	-0.5	0.92195	[-1, 0, -1, 0, -2, 0, 1, 0, 0, -2]
feudalized	-0.8	1.07703	[-1, -1, -3, 0, 0, 0, 1, -1, -2, -1]
feudalizes	-0.1	0.53852	[0, 0, -1, 0, -1, 0, 0, 0, 1, 0]
feudalizing	-0.7	1.34536	[2, -2, -1, 0, 0, -2, -1, -2, 1, -2]
feudally	-0.6	0.66332	[0, 0, -1, -1, 0, -1, 0, -1, -2, 0]
feudaries	-0.3	0.9	[0, 0, 0, -2, -2, 0, 0, 0, 0, 1]
feudary	-0.8	0.74833	[0, 0, -1, -1, -2, 0, -1, 0, -2, -1]
feudatories	-0.5	0.92195	[-3, 0, -1, 0, 0, 0, 0, -1, 0, 0]
feudatory	-0.1	0.83066	[-2, 0, 0, 0, 1, 0, 1, -1, 0, 0]
feuded	-2.2	0.6	[-2, -2, -2, -1, -3, -3, -2, -3, -2, -2]
feuding	-1.6	0.66332	[-2, -1, -2, -2, -1, -1, -3, -1, -2, -1]
feudist	-1.1	0.83066	[-2, 0, -3, -1, -1, -1, 0, -1, -1, -1]
feudists	-0.7	0.9	[0, 0, -1, 0, 0, -2, -2, 0, -2, 0]
feuds	-1.4	1.0198	[-2, -2, -2, -1, -1, -1, -3, -2, 1, -1]
fiasco	-2.3	0.64031	[-2, -2, -3, -3, -2, -3, -1, -3, -2, -2]
fidgety	-1.4	0.66332	[-1, -2, -2, 0, -1, -1, -2, -1, -2, -2]
fiery	-1.4	0.91652	[0, -1, -1, -2, -2, 0, -3, -1, -2, -2]
fiesta	2.1	0.7	[3, 2, 1, 2, 2, 1, 3, 3, 2, 2]
fiestas	1.5	1.0247	[3, 0, 3, 1, 0, 2, 2, 1, 2, 1]
fight	-1.6	1.56205	[-1, -2, -3, -3, -1, 2, -4, -1, -2, -1]
fighter	0.6	1.11355	[3, 0, 0, -1, 1, 0, 1, 0, 2, 0]
fighters	-0.2	1.46969	[-1, 2, -2, 0, 2, 0, -2, -2, 0, 1]
fighting	-1.5	1.11803	[-1, -2, -3, -2, -2, -2, 0, -3, 0, 0]
fightings	-1.9	0.53852	[-2, -3, -1, -2, -2, -2, -2, -1, -2, -2]
fights	-1.7	0.64031	[-2, -2, -1, -2, -2, -1, -3, -1, -1, -2]
fine	0.8	0.6	[1, 0, 1, 2, 1, 1, 1, 1, 0, 0]
fire	-1.4	1.49666	[-2, 0, -4, 0, -2, -1, -1, 0, -4, 0]
fired	-2.6	0.91652	[-2, -3, -4, -3, -3, -1, -3, -3, -1, -3]
firing	-1.4	0.8	[0, -1, -1, -1, -1, -2, -2, -3, -2, -1]
fit	1.5	1.0247	[2, 1, 2, 0, 4, 2, 1, 1, 1, 1]
fitness	1.1	0.9434	[0, 2, 1, 0, 1, 3, 2, 1, 0, 1]
flagship	0.4	0.91652	[0, 0, 0, 0, 0, 0, 0, 1, 3, 0]
flatter	0.4	1.42829	[-2, -2, 1, 2, 1, -1, 1, 2, 1, 1]
flattered	1.6	2.00998	[2, 3, 3, 1, 2, 3, 3, 1, 2, -4]
flatterer	-0.3	1.9	[-4, 2, -1, 1, 2, 2, -2, -1, -1, -1]
flatterers	0.3	1.84662	[2, 1, -2, 1, 0, -4, 2, 1, 2, 0]
flatteries	1.2	1.16619	[2, 2, 3, 1, -1, 0, 0, 1, 2, 2]
flattering	1.3	2.19317	[3, 2, 2, 3, -4, 4, -1, 2, 1, 1]
flatteringly	1.0	1.61245	[2, 2, 1, 2, 1, -3, -1, 2, 2, 2]
flatters	0.6	2.10713	[1, 1, 2, 2, 3, -1, -2, 2, -4, 2]
flattery	0.4	1.49666	[1, -1, -2, 1, 3, -2, 1, 1, 1, 1]
flawed	-2.1	0.99443	[-1, -2, -2, -4, -3, -2, -3, -1, -2, -1]
flawless	2.3	2.14709	[4, 3, 4, 4, 1, 2, 4, 4, -2, -1]
flawlessly	0.8	1.83303	[-2, 2, 3, 1, 0, -2, 2, 2, -1, 3]
flees	-0.7	1.18743	[-3, 0, -2, 0, -1, -1, -1, 1, -1, 1]
flexibilities	1.0	1.09545	[1, 3, 1, 0, 1, -1, 2, 0, 2, 1]
flexibility	1.4	0.8	[2, 2, 0, 2, 1, 2, 1, 0, 2, 2]
flexible	0.9	0.83066	[2, 1, 0, 0, 1, 2, 0, 1, 2, 0]
flexibly	1.3	0.78102	[2, 1, 0, 0, 1, 2, 2, 1, 2, 2]
flirtation	1.7	0.64031	[3, 1, 1, 2, 2, 1, 2, 1, 2, 2]
flirtations	-0.1	1.64012	[0, -4, 1, 0, 0, -2, 1, 1, 2, 0]
flirtatious	0.5	2.5	[-4, 1, 2, 1, 2, -3, 3, 4, -2, 1]
flirtatiously	-0.1	1.86815	[2, -1, 1, 2, 1, 1, -3, -3, -2, 1]
flirtatiousness	0.6	1.85472	[1, 0, 2, 1, 1, 2, 1, -4, -1, 3]
flirted	-0.2	1.98997	[1, 2, -1, 1, 1, 1, -3, -3, -3, 2]
flirter	-0.4	1.85472	[1, 2, -1, 0, 1, 1, -3, -3, -3, 1]
flirters	0.6	2.10713	[1, 4, 0, 1, 2, 1, -4, 2, 1, -2]
flirtier	-0.1	1.37477	[-2, 1, 1, 1, 1, -2, 1, -1, -2, 1]
flirtiest	0.4	1.74356	[3, 1, 2, 1, 1, -1, -3, -2, 1, 1]
flirting	0.8	1.83303	[1, 2, 2, 2, 2, -1, 1, 2, -4, 1]
flirts	0.7	1.18743	[2, -1, 2, 1, 1, -2, 1, 1, 1, 1]
flirty	0.6	1.35647	[2, -2, 2, 1, 1, -2, 1, 1, 1, 1]
flop	-1.4	0.4899	[-1, -1, -2, -1, -2, -1, -2, -1, -2, -1]
flops	-1.4	0.8	[-2, -2, -2, 0, -2, -1, -2, -1, 0, -2]
flu	-1.6	0.8	[0, -2, -1, -2, -1, -2, -3, -1, -2, -2]
flunk	-1.3	0.78102	[-2, -1, -1, -3, -1, -1, 0, -2, -1, -1]
flunked	-2.1	0.9434	[-4, -1, -3, -2, -1, -1, -3, -2, -2, -2]
flunker	-1.9	1.04403	[-4, -1, -3, -2, -1, -1, -3, -2, -1, -1]
flunkers	-1.6	0.8	[-2, -1, -3, -2, 0, -1, -1, -2, -2, -2]
flunkey	-1.8	0.9798	[-4, -1, -3, -2, -1, -1, -2, -2, -1, -1]
flunkeys	-0.6	1.2	[-2, -1, -1, 2, -1, 0, -1, -2, 1, -1]
flunkies	-1.4	1.11355	[-2, -2, 0, -3, 1, -2, -1, -2, -1, -2]
flunking	-1.5	0.92195	[-2, -1, -1, -3, -1, -1, 0, -2, -3, -1]
flunks	-1.8	1.32665	[0, -2, -3, -3, -2, -3, -2, -1, 1, -3]
flunky	-1.8	1.4	[-2, -3, -3, -3, -2, -1, -2, -2, 2, -2]
flustered	-1.0	1.18322	[-1, -1, -1, -1, -3, -2, 2, -1, -1, -1]
focused	1.6	0.91652	[2, 2, 1, 3, 0, 1, 1, 2, 3, 1]
foe	-1.9	1.22066	[-1, -3, -2, -2, -2, -2, -4, 1, -2, -2]
foehns	0.2	0.4	[1, 0, 0, 0, 0, 0, 0, 0, 1, 0]
foeman	-1.8	0.6	[-2, -3, -1, -2, -2, -2, -2, -1, -1, -2]
foemen	-0.3	1.18743	[0, 0, -1, 0, 0, -2, -2, -1, 2, 1]
foes	-2.0	0.89443	[-2, -1, -2, -2, -4, -3, -2, -1, -1, -2]
foetal	-0.1	0.3	[0, -1, 0, 0, 0, 0, 0, 0, 0, 0]
foetid	-2.3	1.41774	[-1, -3, 0, -2, -3, 0, -3, -3, -4, -4]
foetor	-3.0	0.89443	[-3, -4, -2, -3, -3, -1, -4, -4, -3, -3]
foetors	-2.1	1.04403	[-2, -3, -1, -3, -2, -2, 0, -4, -2, -2]
foetus	0.2	0.6	[0, 0, 0, 0, 0, 0, 0, 0, 2, 0]
foetuses	0.2	0.6	[2, 0, 0, 0, 0, 0, 0, 0, 0, 0]
fond	1.9	0.83066	[2, 3, 2, 3, 1, 1, 3, 2, 1, 1]
fondly	1.9	0.7	[1, 2, 3, 2, 2, 3, 2, 1, 1, 2]
fondness	2.5	0.67082	[3, 2, 2, 2, 2, 3, 4, 3, 2, 2]
fool	-1.9	0.53852	[-2, -2, -2, -2, -1, -2, -2, -3, -1, -2]
fooled	-1.6	0.4899	[-2, -1, -1, -2, -2, -1, -2, -1, -2, -2]
fooleries	-1.8	1.07703	[-1, -2, 0, -2, -1, -2, -4, -2, -3, -1]
foolery	-1.8	0.87178	[-2, -2, -3, 0, -3, -1, -2, -2, -2, -1]
foolfish	-0.8	0.87178	[-1, 0, -1, -2, 0, 0, 0, -2, 0, -2]
foolfishes	-0.4	0.4899	[-1, -1, -1, 0, 0, 0, 0, 0, 0, -1]
foolhardier	-1.5	0.67082	[-2, -1, -2, -1, -2, -1, -2, -2, 0, -2]
foolhardiest	-1.3	0.64031	[0, -2, -1, -1, -1, -1, -2, -1, -2, -2]
foolhardily	-1.0	1.41421	[-1, -1, -2, -2, -2, -2, -1, -1, 3, -1]
foolhardiness	-1.6	0.66332	[-3, -1, -1, -1, -2, -1, -2, -2, -2, -1]
foolhardy	-1.4	0.4899	[-2, -2, -1, -1, -1, -2, -1, -1, -2, -1]
fooling	-1.7	0.64031	[-2, -2, -1, -2, -2, -2, -1, -3, -1, -1]
foolish	-1.1	0.83066	[-1, -1, -1, -2, -2, -1, -1, -2, 1, -1]
foolisher	-1.7	0.64031	[-2, -1, -2, -1, -2, -1, -2, -3, -2, -1]
foolishest	-1.4	1.28062	[-2, 1, -2, -3, -2, -2, -1, 1, -2, -2]
foolishly	-1.8	0.6	[-2, -1, -2, -2, -3, -1, -1, -2, -2, -2]
foolishness	-1.8	0.6	[-1, -1, -2, -2, -2, -1, -3, -2, -2, -2]
foolishnesses	-2.0	0.89443	[-1, -1, -1, -2, -3, -1, -3, -3, -2, -3]
foolproof	1.6	0.91652	[2, 1, 3, 1, 1, 0, 1, 2, 2, 3]
fools	-2.2	0.74833	[-2, -4, -2, -2, -1, -2, -2, -2, -2, -3]
foolscaps	-0.8	0.6	[0, -1, -1, -1, 0, -1, -2, 0, -1, -1]
forbid	-1.3	0.78102	[-2, -2, -1, -1, -1, -1, 0, -1, -1, -3]
forbiddance	-1.4	1.35647	[-3, -1, -2, -3, -1, 2, -1, -2, -2, -1]
forbiddances	-1.0	2.0	[-2, 3, 1, -2, -4, -2, -3, -1, -1, 1]
forbidden	-1.8	0.74833	[-1, -2, -2, -2, -1, -1, -3, -3, -2, -1]
forbidder	-1.6	0.66332	[-1, -2, -2, -2, -2, 0, -2, -2, -2, -1]
forbidders	-1.5	0.80623	[-1, -2, -1, -3, -2, -2, 0, -2, -1, -1]
forbidding	-1.9	0.7	[-3, -1, -1, -2, -2, -1, -3, -2, -2, -2]
forbiddingly	-1.9	0.53852	[-2, -1, -2, -2, -2, -2, -3, -2, -1, -2]
forbids	-1.3	0.45826	[-1, -1, -2, -1, -1, -2, -1, -2, -1, -1]
forced	-2.0	0.63246	[-1, -2, -3, -3, -1, -2, -2, -2, -2, -2]
foreclosure	-0.5	1.43178	[-1, -2, -3, 2, -1, 1, -1, 0, 1, -1]
foreclosures	-2.4	0.66332	[-3, -2, -3, -2, -3, -3, -1, -2, -2, -3]
forgave	1.4	0.91652	[2, 2, 1, 2, 1, -1, 1, 2, 2, 2]
forget	-0.9	0.53852	[-1, -1, -1, -1, 0, -1, -1, 0, -2, -1]
forgetful	-1.1	1.3	[-3, -1, -2, 1, 0, -2, 1, -1, -2, -2]
forgivable	1.7	0.64031	[2, 1, 2, 1, 2, 2, 1, 2, 3, 1]
forgivably	1.6	0.66332	[1, 1, 2, 1, 2, 2, 1, 2, 3, 1]
forgive	1.1	1.22066	[2, 1, 1, 3, 1, 1, 1, 2, -2, 1]
forgiven	1.6	0.66332	[2, 1, 1, 3, 2, 2, 1, 2, 1, 1]
forgiveness	1.1	1.22066	[2, 1, 1, 1, 3, 2, -2, 1, 1, 1]
forgiver	1.7	0.78102	[3, 1, 1, 3, 1, 2, 1, 2, 2, 1]
forgivers	1.2	0.6	[2, 1, 2, 1, 0, 1, 1, 2, 1, 1]
forgives	1.7	0.78102	[2, 1, 3, 1, 1, 3, 2, 1, 1, 2]
forgiving	1.9	0.7	[2, 3, 2, 1, 2, 3, 1, 1, 2, 2]
forgivingly	1.4	0.4899	[2, 1, 2, 1, 1, 1, 2, 1, 2, 1]
forgivingness	1.8	0.6	[3, 1, 2, 1, 2, 2, 2, 2, 2, 1]
forgotten	-0.9	0.53852	[-1, 0, -1, 0, -1, -1, -1, -1, -2, -1]
fortunate	1.9	0.53852	[2, 2, 1, 1, 2, 2, 2, 3, 2, 2]
fought	-1.3	0.78102	[-2, -1, -2, -1, 0, -1, -1, -1, -1, -3]
foughten	-1.9	1.3	[-1, -3, 0, -2, -4, -3, -2, 0, -1, -3]
frantic	-1.9	0.7	[-3, -2, -2, -1, -2, -1, -2, -3, -1, -2]
frantically	-1.4	0.4899	[-2, -1, -2, -1, -1, -1, -1, -1, -2, -2]
franticness	-0.7	1.18743	[-1, -2, 2, -1, -1, -1, 1, -2, -1, -1]
fraud	-2.8	0.6	[-3, -3, -2, -3, -2, -3, -3, -2, -4, -3]
frauds	-2.3	0.45826	[-2, -2, -2, -3, -3, -2, -3, -2, -2, -2]
fraudster	-2.5	0.92195	[-4, -1, -2, -2, -4, -2, -3, -2, -3, -2]
fraudsters	-2.4	0.91652	[-4, -3, -3, -3, -1, -2, -2, -2, -1, -3]
fraudulence	-2.3	0.78102	[-3, -2, -2, -3, -2, -1, -2, -4, -2, -2]
fraudulent	-2.2	0.6	[-2, -3, -2, -2, -2, -1, -3, -3, -2, -2]
freak	-1.9	0.9434	[-3, -2, -1, -2, -4, -1, -2, -1, -2, -1]
freaked	-1.2	1.32665	[-2, -2, 1, 0, -1, -2, -3, 1, -2, -2]
freakier	-1.3	1.1	[-3, -2, -2, 1, -2, -2, -1, 0, -1, -1]
freakiest	-1.6	1.0198	[-2, -3, -3, -3, -1, -1, -1, 0, -1, -1]
freakiness	-1.4	0.8	[-1, -1, -1, -2, -3, 0, -2, -1, -2, -1]
freaking	-1.8	1.16619	[0, -4, -3, -2, -3, -1, -1, -1, -2, -1]
freakish	-2.1	1.37477	[-1, -3, -2, -1, -2, -3, -4, -3, 1, -3]
freakishly	-0.8	1.249	[-2, -2, 1, -2, -1, 1, -1, 1, -1, -2]
freakishness	-1.4	1.68523	[-2, -4, -1, 0, -1, -2, 1, 1, -4, -2]
freakout	-1.8	1.6	[-3, 1, -3, -2, -3, -1, -4, 1, -2, -2]
freakouts	-1.5	0.92195	[-2, -2, -1, -1, -2, -2, -2, 1, -2, -2]
freaks	-0.4	1.35647	[2, 0, -2, -1, 0, 1, -2, 1, -1, -2]
freaky	-1.5	1.20416	[-2, -2, -2, -2, -1, -2, 2, -2, -2, -2]
free	2.3	0.9	[2, 4, 3, 3, 2, 1, 2, 3, 1, 2]
freebase	-0.1	1.44568	[2, 0, -2, 1, -3, 0, -1, 0, 1, 1]
freebased	0.8	1.16619	[2, 0, -1, 0, 3, 0, 1, 2, 1, 0]
freebases	0.8	1.249	[2, 0, -1, 0, 2, 0, 0, 3, 2, 0]
freebasing	-0.4	1.56205	[-4, -2, 0, 0, 1, 2, 0, -1, 0, 0]
freebee	1.3	0.78102	[1, 2, 1, 1, 1, 0, 3, 2, 1, 1]
freebees	1.3	1.26886	[2, 2, -2, 2, 2, 2, 0, 2, 1, 2]
freebie	1.8	0.9798	[2, 1, 3, 2, 2, 4, 1, 1, 1, 1]
freebies	1.8	0.9798	[2, 3, 1, 1, 2, 4, 1, 1, 2, 1]
freeboard	0.3	0.64031	[0, 0, 0, 0, 0, 1, 0, 0, 0, 2]
freeboards	0.7	0.9	[0, 0, 0, 1, 0, 0, 2, 2, 2, 0]
freeboot	-0.7	1.67631	[1, -2, -3, -2, -1, -2, -1, 2, -1, 2]
freebooter	-1.7	1.00499	[-2, -2, -3, -3, -2, -2, 0, -1, 0, -2]
freebooters	-0.2	1.32665	[-1, -3, 1, 0, -2, 1, 0, 1, 0, 1]
freebooting	-0.8	1.249	[-2, -2, -1, 2, -1, -1, -1, 1, -2, -1]
freeborn	1.2	0.74833	[1, 0, 3, 1, 1, 1, 1, 1, 2, 1]
freed	1.7	1.34536	[-2, 2, 3, 2, 2, 2, 3, 1, 2, 2]
freedman	1.1	0.9434	[1, 2, 0, 1, 2, 1, 3, 0, 0, 1]
freedmen	0.7	0.78102	[1, 2, 1, 2, 0, 1, 0, 0, 0, 0]
freedom	3.2	0.9798	[4, 4, 1, 3, 2, 4, 4, 3, 3, 4]
freedoms	1.2	1.07703	[2, 1, 1, 3, 2, 1, 2, 1, -1, 0]
freedwoman	1.6	1.74356	[3, 2, 0, 4, 4, 3, 1, -1, 0, 0]
freedwomen	1.3	0.78102	[2, 0, 2, 0, 2, 1, 1, 1, 2, 2]
freeform	0.9	0.83066	[0, 0, 0, 2, 1, 2, 1, 1, 2, 0]
freehand	0.5	0.80623	[0, 0, 0, 1, 0, 2, 0, 2, 0, 0]
freehanded	1.4	0.91652	[3, 0, 0, 2, 1, 2, 2, 1, 2, 1]
freehearted	1.5	0.67082	[2, 0, 1, 2, 2, 2, 2, 1, 1, 2]
freehold	0.7	0.78102	[1, 1, 0, 0, 2, 0, 2, 0, 1, 0]
freeholder	0.5	0.5	[1, 1, 0, 0, 0, 1, 1, 0, 1, 0]
freeholders	0.1	0.83066	[0, 0, 1, 0, 0, 1, 0, -2, 0, 1]
freeholds	1.0	0.63246	[1, 0, 2, 0, 1, 2, 1, 1, 1, 1]
freeing	2.1	1.04403	[2, 1, 1, 1, 4, 2, 2, 4, 2, 2]
freelance	1.2	1.66132	[3, 0, 0, 0, 0, 1, 4, 0, 4, 0]
freelanced	0.7	1.00499	[3, 0, 0, 0, 0, 2, 1, 0, 1, 0]
freelancer	1.1	1.04403	[2, 0, 3, 2, 1, 0, 0, 0, 2, 1]
freelancers	0.4	0.66332	[0, 0, 0, 2, 0, 0, 0, 1, 1, 0]
freelances	0.7	0.9	[1, 0, 0, 0, 0, 2, 2, 0, 2, 0]
freelancing	0.4	0.66332	[2, 0, 0, 0, 1, 0, 0, 0, 1, 0]
freeload	-1.9	1.04403	[-2, -3, -1, -2, -1, 0, -1, -3, -3, -3]
freeloaded	-1.6	0.8	[-2, 0, -3, -1, -1, -2, -2, -2, -2, -1]
freeloader	-0.7	1.00499	[-2, 0, -1, -2, -1, 1, -1, 1, -1, -1]
freeloaders	-0.1	1.57797	[-2, -2, -1, 0, 0, 2, -2, 0, 2, 2]
freeloading	-1.3	2.0025	[1, -2, -4, -2, -3, -3, 1, 2, 0, -3]
freeloads	-1.3	0.9	[-1, -1, -2, -2, -2, 0, 0, -1, -1, -3]
freely	1.9	0.53852	[2, 1, 2, 2, 2, 3, 2, 2, 1, 2]
freeman	1.7	0.78102	[2, 2, 2, 1, 2, 0, 3, 1, 2, 2]
freemartin	-0.5	0.92195	[0, 0, 0, -1, 0, -1, 0, 0, -3, 0]
freemasonries	0.7	0.78102	[0, 1, 0, 0, 0, 1, 1, 0, 2, 2]
freemasonry	0.3	0.64031	[1, 0, 2, 0, 0, 0, 0, 0, 0, 0]
freemen	1.5	0.67082	[1, 1, 0, 2, 2, 2, 2, 2, 1, 2]
freeness	1.6	0.66332	[1, 2, 3, 2, 2, 1, 1, 1, 2, 1]
freenesses	1.7	0.78102	[1, 2, 1, 2, 2, 2, 3, 2, 2, 0]
freer	1.1	0.7	[2, 2, 0, 2, 1, 1, 1, 0, 1, 1]
freers	1.0	0.89443	[0, 1, 1, 2, 3, 1, 0, 1, 0, 1]
frees	1.2	0.6	[1, 2, 0, 1, 1, 1, 2, 1, 1, 2]
freesia	0.4	0.91652	[0, 0, 3, 0, 1, 0, 0, 0, 0, 0]
freesias	0.4	0.66332	[0, 0, 0, 1, 1, 2, 0, 0, 0, 0]
freest	1.6	1.28062	[3, 4, 0, 3, 0, 1, 1, 2, 1, 1]
freestanding	1.1	0.83066	[2, 1, 1, 2, 0, 0, 0, 2, 1, 2]
freestyle	0.7	0.9	[2, 0, 1, 0, 2, 0, 0, 2, 0, 0]
freestyler	0.4	0.91652	[0, 0, 0, 0, 1, 0, 0, 0, 0, 3]
freestylers	0.8	0.87178	[2, 1, 0, 0, 0, 1, 0, 2, 2, 0]
freestyles	0.3	0.64031	[0, 0, 0, 0, 1, 0, 0, 0, 0, 2]
freethinker	1.0	0.63246	[1, 2, 1, 1, 2, 1, 0, 0, 1, 1]
freethinkers	1.0	0.7746	[1, 0, 0, 1, 2, 2, 1, 2, 0, 1]
freethinking	1.1	0.7	[1, 0, 1, 1, 2, 2, 0, 2, 1, 1]
freeware	0.7	1.48661	[1, 0, 0, 2, 4, 0, 1, -2, 1, 0]
freeway	0.2	0.6	[0, 0, 0, 0, 0, 0, 2, 0, 0, 0]
freewheel	0.5	1.11803	[2, 0, 1, 2, 0, -2, 0, 0, 1, 1]
freewheeled	0.3	0.78102	[1, 0, 0, 0, 0, 1, 2, -1, 0, 0]
freewheeler	0.2	0.87178	[-2, 1, 0, 0, 0, 1, 1, 1, 0, 0]
freewheelers	-0.3	1.00499	[-2, 0, 0, 0, 2, -1, -1, 0, -1, 0]
freewheeling	0.5	1.11803	[-1, 2, 0, -1, 1, 2, 2, 0, 0, 0]
freewheelingly	0.8	0.87178	[1, 2, 0, 0, 1, 2, 1, -1, 1, 1]
freewheels	0.6	0.91652	[0, 3, 1, 1, 1, 0, 0, 0, 0, 0]
freewill	1.0	0.7746	[1, 1, 1, -1, 1, 1, 1, 2, 2, 1]
freewriting	0.8	1.07703	[0, 2, 0, 0, 1, 0, 3, 0, 2, 0]
freeze	0.2	0.9798	[-1, 0, 1, 1, -1, 0, 0, -1, 2, 1]
freezers	-0.1	0.3	[0, 0, 0, -1, 0, 0, 0, 0, 0, 0]
freezes	-0.1	1.13578	[0, -2, -2, 1, 0, 0, 0, 0, 2, 0]
freezing	-0.4	1.28062	[-2, -1, -2, -2, 0, 0, 0, 1, 2, 0]
freezingly	-1.6	0.4899	[-1, -2, -2, -1, -2, -2, -2, -2, -1, -1]
frenzy	-1.3	1.48661	[-1, -1, -2, -2, 2, -4, -1, -2, 0, -2]
fresh	1.3	0.45826	[2, 2, 1, 1, 1, 1, 2, 1, 1, 1]
friend	2.2	0.6	[2, 2, 3, 2, 3, 3, 1, 2, 2, 2]
friended	1.7	0.78102	[2, 2, 1, 3, 1, 1, 2, 3, 1, 1]
friending	1.8	1.07703	[1, 4, 2, 0, 1, 3, 2, 2, 1, 2]
friendless	-1.5	0.67082	[-1, -2, -2, -1, 0, -2, -1, -2, -2, -2]
friendlessness	-0.3	2.05183	[-2, -2, 2, 1, -4, -1, 2, 1, -2, 2]
friendlier	2.0	0.63246	[3, 2, 2, 1, 2, 2, 2, 1, 3, 2]
friendlies	2.2	0.74833	[3, 2, 2, 3, 2, 2, 1, 3, 1, 3]
friendliest	2.6	0.91652	[3, 3, 1, 3, 2, 1, 3, 3, 4, 3]
friendlily	1.8	0.74833	[1, 2, 2, 1, 3, 1, 1, 2, 3, 2]
friendliness	2.0	0.7746	[3, 1, 3, 2, 2, 3, 2, 1, 2, 1]
friendly	2.2	0.6	[2, 1, 3, 3, 2, 2, 3, 2, 2, 2]
friends	2.1	0.53852	[3, 3, 2, 2, 2, 1, 2, 2, 2, 2]
friendship	1.9	0.53852	[1, 2, 2, 1, 3, 2, 2, 2, 2, 2]
friendships	1.6	0.91652	[2, 1, 1, 0, 3, 2, 2, 3, 1, 1]
fright	-1.6	1.35647	[-2, -1, 0, -3, -2, -4, 1, -1, -2, -2]
frighted	-1.4	0.91652	[0, -1, -1, -1, -2, -1, -3, -1, -1, -3]
frighten	-1.4	0.8	[0, -1, -1, -1, -2, -1, -3, -2, -1, -2]
frightened	-1.9	0.7	[-2, -3, -1, -1, -2, -2, -3, -1, -2, -2]
frightening	-2.2	0.9798	[-1, -1, -4, -3, -3, -3, -2, -2, -1, -2]
frighteningly	-2.1	0.7	[-2, -2, -2, -2, -4, -2, -1, -2, -2, -2]
frightens	-1.7	0.78102	[-2, -1, -2, -1, -1, -1, -2, -3, -3, -1]
frightful	-2.3	0.78102	[-2, -2, -2, -2, -3, -2, -3, -1, -4, -2]
frightfully	-1.7	0.78102	[-1, -1, -1, -2, -2, -1, -2, -3, -1, -3]
frightfulness	-1.9	0.7	[-1, -1, -2, -3, -3, -2, -1, -2, -2, -2]
frighting	-1.5	0.67082	[-1, -2, -2, -3, -1, -1, -1, -1, -2, -1]
frights	-1.1	0.83066	[-2, 0, -2, 0, -2, -1, 0, -1, -1, -2]
frisky	1.0	1.48324	[1, -2, 1, 1, 1, 3, 3, 2, -1, 1]
frowning	-1.4	1.42829	[-1, -1, -1, -3, -3, 1, -2, -3, 1, -2]
frustrate	-2.0	0.63246	[-2, -3, -2, -1, -3, -2, -2, -1, -2, -2]
frustrated	-2.4	0.66332	[-2, -1, -3, -3, -2, -2, -3, -2, -3, -3]
frustrates	-1.9	0.7	[-1, -1, -3, -2, -1, -2, -2, -2, -3, -2]
frustrating	-1.9	0.83066	[-2, -2, -1, -1, -1, -2, -2, -2, -4, -2]
frustratingly	-2.0	0.63246	[-1, -3, -2, -2, -2, -2, -2, -3, -2, -1]
frustration	-2.1	0.7	[-3, -2, -3, -2, -1, -2, -3, -2, -1, -2]
frustrations	-2.0	0.7746	[-2, -1, -1, -3, -2, -2, -3, -3, -2, -1]
fuck	-2.5	1.20416	[0, -3, -4, -3, -2, -3, -4, -1, -2, -3]
fucked	-3.4	0.66332	[-2, -3, -4, -3, -4, -4, -3, -4, -3, -4]
fucker	-3.3	0.78102	[-3, -4, -4, -2, -3, -4, -4, -2, -4, -3]
fuckers	-2.9	0.9434	[-3, -3, -4, -3, -4, -4, -2, -1, -2, -3]
fuckface	-3.2	1.07703	[-4, -2, -4, -1, -4, -4, -2, -4, -3, -4]
fuckhead	-3.1	1.04403	[-1, -4, -2, -4, -3, -3, -2, -4, -4, -4]
fucks	-2.1	1.13578	[-3, -2, -1, -1, -1, -2, -4, -2, -4, -1]
fucktard	-3.1	0.9434	[-4, -4, -4, -3, -4, -2, -4, -2, -2, -2]
fud	-1.1	1.37477	[-1, -3, -1, -1, -3, -2, 2, 0, -1, -1]
fuked	-2.5	0.92195	[-2, -3, -3, -3, -3, -3, 0, -3, -3, -2]
fuking	-3.2	0.9798	[-4, -1, -3, -4, -3, -2, -4, -3, -4, -4]
fulfill	1.9	1.04403	[1, 1, 2, 4, 1, 1, 2, 1, 3, 3]
fulfilled	1.8	0.87178	[1, 2, 1, 0, 2, 2, 3, 2, 2, 3]
fulfills	1.0	1.09545	[2, 1, 1, 1, 1, -2, 2, 2, 1, 1]
fume	-1.2	1.16619	[0, 0, 0, -2, -3, -2, -1, -3, -1, 0]
fumed	-1.8	0.87178	[-3, -2, -3, -2, -2, 0, -2, -1, -1, -2]
fumeless	0.3	0.64031	[0, 0, 0, 1, 0, 0, 0, 2, 0, 0]
fumelike	-0.7	1.18743	[0, 0, -3, 0, 0, -2, -1, -2, 1, 0]
fumer	0.7	0.9	[2, 1, 0, 1, 0, 2, 0, -1, 1, 1]
fumers	-0.8	0.6	[0, -1, -1, -2, -1, 0, 0, -1, -1, -1]
fumes	-0.1	1.13578	[0, -2, 0, 0, -1, 1, -1, -1, 1, 2]
fumet	0.4	1.0198	[2, 0, 0, -1, 0, 1, -1, 0, 2, 1]
fumets	-0.4	0.66332	[0, -1, 0, -1, 0, 0, -2, 0, 0, 0]
fumette	-0.6	1.11355	[-2, -2, 0, -1, -1, 2, 0, 0, -1, -1]
fuming	-2.7	0.64031	[-2, -3, -3, -2, -3, -4, -3, -2, -2, -3]
fun	2.3	0.45826	[2, 3, 2, 3, 2, 2, 3, 2, 2, 2]
funeral	-1.5	1.74642	[-2, -3, -2, -1, -3, -1, -4, 1, 2, -2]
funerals	-1.6	2.2891	[-3, -4, -1, -4, 2, -3, -3, 2, 1, -3]
funky	-0.4	1.62481	[0, -1, 2, -1, 2, 0, -4, -1, 0, -1]
funned	2.3	0.9	[2, 3, 3, 4, 1, 2, 2, 2, 3, 1]
funnel	0.1	0.53852	[1, 0, 0, 0, 0, -1, 0, 0, 1, 0]
funneled	0.1	0.3	[0, 0, 0, 0, 0, 1, 0, 0, 0, 0]
funnelform	0.5	0.80623	[0, 0, 1, 0, 0, 0, 0, 2, 2, 0]
funneling	-0.1	0.3	[0, 0, 0, 0, -1, 0, 0, 0, 0, 0]
funnelled	-0.1	0.3	[0, 0, 0, 0, -1, 0, 0, 0, 0, 0]
funnelling	0.1	0.3	[0, 0, 0, 0, 1, 0, 0, 0, 0, 0]
funnels	0.4	0.66332	[0, 0, 0, 1, 0, 0, 0, 0, 2, 1]
funner	2.2	0.74833	[2, 2, 3, 4, 1, 2, 2, 2, 2, 2]
funnest	2.9	0.7	[4, 3, 4, 3, 2, 3, 2, 3, 2, 3]
funnier	1.7	1.00499	[2, 2, -1, 2, 2, 2, 3, 1, 2, 2]
funnies	1.3	1.00499	[2, 1, -1, 2, 1, 2, 3, 1, 1, 1]
funniest	2.6	0.8	[3, 3, 3, 3, 2, 2, 1, 2, 4, 3]
funnily	1.9	0.53852	[2, 3, 1, 2, 2, 2, 2, 1, 2, 2]
funniness	1.8	0.9798	[3, 2, 3, 2, 2, 1, 3, 0, 1, 1]
funninesses	1.6	0.91652	[1, 3, 0, 3, 1, 2, 1, 2, 2, 1]
funning	1.8	0.9798	[2, 2, 1, 2, 1, 4, 0, 2, 2, 2]
funny	1.9	0.53852	[3, 2, 2, 1, 2, 2, 1, 2, 2, 2]
funnyman	1.4	0.4899	[2, 2, 1, 2, 1, 1, 1, 1, 2, 1]
funnymen	1.3	1.1	[2, 1, 1, 0, 0, 3, 3, 1, 2, 0]
furious	-2.7	1.41774	[-3, -3, -3, -4, -4, -4, 1, -2, -3, -2]
furiously	-1.9	1.04403	[-2, -2, -4, -2, -1, -2, -1, -3, 0, -2]
fury	-2.7	0.78102	[-4, -3, -2, -2, -2, -3, -4, -2, -3, -2]
futile	-1.9	0.83066	[0, -3, -2, -2, -2, -2, -3, -1, -2, -2]
gag	-1.4	1.0198	[-2, -2, -1, -2, 0, -2, -3, 0, 0, -2]
gagged	-1.3	1.55242	[-2, -2, -1, -2, 2, -3, -1, -3, 1, -2]
gain	2.4	0.4899	[2, 3, 2, 2, 3, 2, 3, 2, 3, 2]
gained	1.6	0.66332	[2, 1, 2, 1, 1, 3, 2, 1, 2, 1]
gaining	1.8	0.4	[1, 2, 2, 2, 1, 2, 2, 2, 2, 2]
gains	1.4	0.4899	[1, 2, 1, 2, 2, 2, 1, 1, 1, 1]
gallant	1.7	1.1	[4, 0, 3, 1, 1, 2, 2, 2, 1, 1]
gallantly	1.9	0.53852	[2, 2, 3, 2, 2, 2, 2, 1, 2, 1]
gallantry	2.6	0.8	[3, 3, 1, 2, 2, 3, 4, 2, 3, 3]
geek	-0.8	0.9798	[0, 0, 0, -2, -3, -1, -1, 0, 0, -1]
geekier	0.2	1.4	[0, 3, -1, -1, -1, 1, 2, 1, -1, -1]
geekiest	-0.1	0.9434	[1, -1, -1, -1, -1, 1, 1, 1, 0, -1]
geeks	-0.4	0.91652	[0, 0, -1, 0, 0, 0, 0, 0, -3, 0]
geeky	-0.6	0.91652	[0, 0, -1, 0, -1, 0, -1, 0, -3, 0]
generosities	2.6	0.4899	[3, 3, 2, 3, 2, 3, 2, 3, 2, 3]
generosity	2.3	0.64031	[3, 1, 2, 2, 3, 2, 3, 3, 2, 2]
generous	2.3	0.78102	[3, 2, 4, 2, 2, 1, 2, 3, 2, 2]
generously	1.8	0.74833	[3, 3, 2, 1, 2, 1, 1, 2, 1, 2]
generousness	2.4	0.91652	[3, 2, 3, 1, 3, 4, 3, 2, 2, 1]
genial	1.8	0.6	[3, 1, 2, 1, 2, 2, 1, 2, 2, 2]
gentle	1.9	0.53852	[2, 2, 2, 1, 2, 3, 2, 2, 1, 2]
gentler	1.4	0.4899	[2, 1, 1, 1, 1, 2, 2, 1, 2, 1]
gentlest	1.8	0.4	[2, 1, 2, 2, 2, 1, 2, 2, 2, 2]
gently	2.0	0.7746	[2, 2, 2, 1, 1, 3, 3, 2, 1, 3]
ghost	-1.3	1.34536	[-2, 0, 0, 0, 0, -3, -2, -3, 0, -3]
giddy	-0.6	1.62481	[-2, -2, 3, -1, -1, -1, -1, -2, 2, -1]
gift	1.9	0.53852	[2, 1, 2, 2, 2, 1, 2, 3, 2, 2]
giggle	1.8	0.9798	[2, 2, 2, 2, 2, 3, 2, -1, 2, 2]
giggled	1.5	1.20416	[1, 3, 1, 3, 3, 1, 1, -1, 2, 1]
giggler	0.6	0.8	[1, 1, 1, 1, -1, 1, 1, 1, -1, 1]
gigglers	1.4	0.4899	[1, 2, 2, 1, 2, 1, 1, 1, 1, 2]
giggles	0.8	1.249	[1, 2, 2, 1, -1, 1, 1, 2, -2, 1]
gigglier	1.0	1.09545	[2, 1, 1, 2, 2, 1, -1, 2, 1, -1]
giggliest	1.7	1.26886	[4, 2, 1, 2, 1, 3, 2, 2, -1, 1]
giggling	1.5	0.5	[2, 2, 1, 2, 2, 1, 1, 1, 1, 2]
gigglingly	1.1	1.37477	[1, 2, 1, 1, -1, 2, 1, -1, 4, 1]
giggly	1.0	1.41421	[1, 2, -2, 1, 2, 3, 1, -1, 2, 1]
giver	1.4	0.66332	[1, 2, 2, 0, 1, 2, 1, 2, 1, 2]
givers	1.7	1.34536	[2, -1, 3, 3, 3, 1, 1, 2, 0, 3]
giving	1.4	1.0198	[1, 1, 3, 1, 1, 2, 3, 0, 2, 0]
glad	2.0	0.63246	[3, 2, 1, 2, 2, 2, 1, 3, 2, 2]
gladly	1.4	0.4899	[2, 2, 1, 2, 1, 1, 2, 1, 1, 1]
glamor	2.1	0.9434	[1, 2, 2, 2, 1, 3, 2, 4, 3, 1]
glamorise	1.3	1.1	[0, 1, 4, 1, 0, 2, 1, 2, 1, 1]
glamorised	1.8	0.74833	[1, 2, 2, 2, 2, 2, 0, 2, 3, 2]
glamorises	2.1	1.04403	[1, 3, 2, 4, 2, 2, 0, 2, 3, 2]
glamorising	1.2	1.16619	[3, 2, 0, 3, 1, 2, 0, 1, 0, 0]
glamorization	1.6	0.91652	[2, 2, 3, 0, 3, 1, 2, 1, 1, 1]
glamorize	1.7	1.1	[1, 2, 1, 4, 2, 0, 3, 1, 2, 1]
glamorized	2.1	1.04403	[3, 2, 1, 2, 4, 2, 2, 0, 3, 2]
glamorizer	2.4	1.0198	[3, 2, 2, 3, 4, 3, 2, 0, 3, 2]
glamorizers	1.6	1.11355	[4, 1, 1, 1, 1, 2, 0, 2, 3, 1]
glamorizes	2.4	1.2	[3, 2, 2, 4, 4, 1, 2, 0, 3, 3]
glamorizing	1.8	1.16619	[3, 0, 1, 2, 3, 2, 1, 0, 3, 3]
glamorous	2.3	0.78102	[3, 2, 4, 2, 2, 2, 3, 2, 2, 1]
glamorously	2.1	1.04403	[1, 3, 2, 1, 2, 1, 4, 1, 3, 3]
glamors	1.4	0.66332	[1, 1, 2, 2, 2, 1, 2, 2, 0, 1]
glamour	2.4	0.91652	[2, 4, 2, 1, 3, 2, 2, 2, 2, 4]
glamourize	0.8	1.32665	[2, 1, 0, 1, 0, 4, 0, 0, -1, 1]
glamourless	-1.6	1.49666	[-4, -1, -1, -2, -2, -3, -2, -1, 2, -2]
glamourous	2.0	0.7746	[1, 3, 3, 2, 1, 2, 2, 2, 3, 1]
glamours	1.9	0.83066	[1, 3, 2, 2, 3, 2, 1, 1, 3, 1]
glee	3.2	0.4	[3, 4, 3, 3, 4, 3, 3, 3, 3, 3]
gleeful	2.9	0.53852	[3, 3, 3, 3, 3, 4, 2, 2, 3, 3]
gloom	-2.6	0.66332	[-4, -2, -3, -3, -2, -3, -2, -2, -2, -3]
gloomed	-1.9	0.7	[-1, -2, -3, -1, -2, -2, -1, -2, -3, -2]
gloomful	-2.1	0.9434	[-3, -1, -4, -2, -1, -1, -2, -3, -2, -2]
gloomier	-1.5	1.20416	[-3, -2, -2, -3, -1, -2, 0, 1, -1, -2]
gloomiest	-1.8	2.03961	[-2, -2, 2, -4, -2, -3, -4, -3, 2, -2]
gloominess	-1.8	0.6	[-2, -1, -2, -3, -2, -1, -2, -2, -2, -1]
gloominesses	-1.0	1.09545	[-1, -2, -2, -1, -1, -2, 2, -1, -1, -1]
glooming	-1.8	0.74833	[-1, -2, -2, -1, -2, -1, -3, -1, -3, -2]
glooms	-0.9	1.57797	[3, -2, -1, -2, -2, -2, 1, -2, -1, -1]
gloomy	-0.6	1.56205	[2, -1, -2, -2, -2, -1, 1, -2, 2, -1]
gloried	2.4	1.0198	[2, 3, 3, 4, 4, 1, 1, 2, 2, 2]
glories	2.1	1.3	[4, 1, 4, 1, 1, 4, 2, 2, 1, 1]
glorification	2.0	0.89443	[3, 1, 3, 2, 3, 1, 1, 3, 2, 1]
glorified	2.3	0.9	[1, 4, 2, 2, 4, 2, 2, 2, 2, 2]
glorifier	2.3	1.00499	[1, 4, 1, 2, 4, 2, 3, 2, 2, 2]
glorifiers	1.6	1.0198	[2, 1, 2, -1, 2, 2, 2, 1, 2, 3]
glorifies	2.2	0.9798	[1, 4, 2, 2, 4, 2, 1, 2, 2, 2]
glorify	2.7	0.78102	[3, 3, 4, 3, 1, 3, 2, 3, 2, 3]
glorifying	2.4	1.28062	[3, 4, 2, 2, 4, 4, 0, 1, 2, 2]
gloriole	1.5	1.36015	[2, 4, 1, 2, 0, -1, 1, 3, 2, 1]
glorioles	1.2	0.87178	[0, 2, 0, 2, 0, 1, 2, 2, 1, 2]
glorious	3.2	0.6	[4, 3, 3, 2, 3, 3, 3, 4, 3, 4]
gloriously	2.9	0.83066	[3, 4, 3, 2, 4, 2, 2, 2, 4, 3]
gloriousness	2.6	1.0198	[3, 2, 3, 4, 3, 2, 1, 4, 3, 1]
glory	2.5	0.80623	[1, 3, 3, 1, 3, 3, 3, 2, 3, 3]
glum	-2.1	0.7	[-2, -1, -3, -3, -1, -2, -2, -3, -2, -2]
gn8	0.6	0.66332	[1, 1, 0, 0, 0, 0, 2, 1, 0, 1]
god	1.1	1.51327	[0, 0, 0, 1, 0, 3, 0, 3, 0, 4]
goddam	-2.5	1.28452	[0, -3, -3, -4, -3, -1, -4, -1, -3, -3]
goddammed	-2.4	0.91652	[-2, -3, -1, -1, -2, -2, -4, -3, -3, -3]
goddamn	-2.1	1.75784	[-3, -3, -2, -4, -4, -3, -3, -1, 1, 1]
goddamned	-1.8	2.03961	[-3, -3, -3, -4, -1, 2, -2, -3, 2, -3]
goddamns	-2.1	1.51327	[-3, -2, -4, 2, -2, -3, -3, -2, -2, -2]
goddams	-1.9	1.92094	[-3, -3, -2, -4, -4, -2, -3, -1, 2, 1]
godsend	2.8	0.87178	[2, 3, 3, 2, 4, 3, 3, 1, 4, 3]
good	1.9	0.9434	[2, 1, 1, 3, 2, 4, 2, 2, 1, 1]
goodness	2.0	1.54919	[2, 2, 2, 3, 1, 2, -2, 4, 3, 3]
gorgeous	3.0	0.63246	[3, 3, 2, 3, 3, 3, 4, 4, 3, 2]
gorgeously	2.3	0.78102	[2, 2, 2, 3, 1, 2, 4, 3, 2, 2]
gorgeousness	2.9	0.9434	[3, 4, 3, 1, 4, 4, 2, 2, 3, 3]
gorgeousnesses	2.1	0.7	[3, 2, 1, 3, 2, 2, 1, 2, 3, 2]
gossip	-0.7	0.45826	[-1, -1, -1, 0, 0, -1, -1, 0, -1, -1]
gossiped	-1.1	0.53852	[-1, -1, -1, -1, -1, -1, 0, -1, -2, -2]
gossiper	-1.1	0.7	[-1, -1, -1, 0, -2, -1, -1, -2, 0, -2]
gossipers	-1.1	0.53852	[-1, 0, -1, -1, -1, -1, -1, -1, -2, -2]
gossiping	-1.6	0.4899	[-1, -2, -1, -2, -1, -2, -2, -1, -2, -2]
gossipmonger	-1.0	1.41421	[-1, -2, 1, -3, -2, 1, -1, -2, -2, 1]
gossipmongers	-1.4	0.66332	[-2, -1, -1, -1, -2, -2, -1, 0, -2, -2]
gossipped	-1.3	0.9	[-2, -2, -1, -2, -1, -1, -2, -1, 1, -2]
gossipping	-1.8	0.6	[-2, -1, -2, -2, -1, -2, -2, -1, -3, -2]
gossipries	-0.8	0.6	[-1, -1, -1, 0, -1, 0, -1, 0, -2, -1]
gossipry	-1.2	1.16619	[1, 0, -1, -2, -1, -1, -1, -3, -3, -1]
gossips	-1.3	0.64031	[-1, -2, -1, -1, -2, -1, 0, -1, -2, -2]
gossipy	-1.3	0.78102	[-1, -2, -2, -1, -2, -1, 0, 0, -2, -2]
grace	1.8	0.4	[2, 1, 2, 2, 1, 2, 2, 2, 2, 2]
graced	0.9	1.04403	[1, 1, 2, -2, 1, 1, 1, 2, 1, 1]
graceful	2.0	0.63246	[2, 1, 2, 2, 2, 3, 3, 2, 2, 1]
gracefuller	2.2	0.74833	[2, 3, 2, 2, 1, 2, 3, 1, 3, 3]
gracefullest	2.8	0.74833	[3, 3, 3, 3, 1, 3, 3, 3, 4, 2]
gracefully	2.4	0.66332	[3, 3, 2, 1, 3, 2, 2, 2, 3, 3]
gracefulness	2.2	0.6	[3, 2, 1, 2, 2, 2, 3, 2, 2, 3]
graces	1.6	0.4899	[2, 2, 2, 1, 1, 2, 1, 2, 1, 2]
gracile	1.7	0.78102	[1, 3, 2, 1, 2, 3, 2, 1, 1, 1]
graciles	0.6	0.8	[0, 0, 0, 0, 0, 0, 2, 1, 2, 1]
gracilis	0.4	0.66332	[0, 0, 0, 0, 0, 1, 0, 1, 0, 2]
gracility	1.2	0.87178	[1, 1, 0, 1, 1, 3, 2, 2, 0, 1]
gracing	1.3	0.9	[1, 0, 3, 2, 1, 2, 0, 1, 2, 1]
gracioso	1.0	0.63246	[2, 2, 1, 1, 1, 1, 0, 1, 0, 1]
gracious	2.6	0.8	[2, 2, 3, 3, 3, 3, 2, 4, 1, 3]
graciously	2.3	0.9	[2, 4, 1, 3, 3, 2, 1, 2, 3, 2]
graciousness	2.4	0.66332	[2, 2, 2, 2, 2, 3, 4, 3, 2, 2]
grand	2.0	0.63246	[2, 2, 3, 1, 2, 2, 2, 2, 3, 1]
grandee	1.1	0.83066	[0, 1, 1, 0, 1, 1, 2, 1, 3, 1]
grandees	1.2	0.87178	[0, 2, 2, 1, 0, 1, 0, 2, 2, 2]
grander	1.7	0.9	[3, 1, 1, 2, 2, 2, 0, 2, 3, 1]
grandest	2.4	1.2	[3, 3, 1, 2, 2, 0, 4, 2, 4, 3]
grandeur	2.4	1.11355	[3, 2, 3, 2, 4, 1, 1, 4, 1, 3]
grandeurs	2.1	1.3	[2, 2, 1, 0, 0, 4, 3, 3, 3, 3]
grant	1.5	0.80623	[2, 2, 1, 0, 3, 1, 1, 1, 2, 2]
granted	1.0	1.09545	[3, 0, 0, 0, 0, 1, 2, 2, 2, 0]
granting	1.3	0.45826	[2, 1, 1, 2, 1, 2, 1, 1, 1, 1]
grants	0.9	0.7	[2, 1, 2, 1, 0, 1, 0, 0, 1, 1]
grateful	2.0	0.63246	[2, 3, 1, 2, 2, 2, 3, 1, 2, 2]
gratefuller	1.8	0.87178	[2, 3, 0, 3, 2, 1, 1, 2, 2, 2]
gratefully	2.1	0.53852	[2, 3, 2, 2, 2, 2, 2, 3, 1, 2]
gratefulness	2.2	0.6	[2, 3, 2, 1, 2, 2, 3, 2, 3, 2]
graticule	0.1	0.3	[0, 0, 0, 1, 0, 0, 0, 0, 0, 0]
graticules	0.2	0.6	[0, 0, 0, 0, 2, 0, 0, 0, 0, 0]
gratification	1.6	0.8	[1, 2, 3, 2, 2, 1, 2, 0, 2, 1]
gratifications	1.8	0.4	[2, 2, 1, 2, 2, 1, 2, 2, 2, 2]
gratified	1.6	0.91652	[3, 1, 1, 1, 3, 1, 1, 1, 1, 3]
gratifies	1.5	0.80623	[3, 1, 1, 1, 2, 1, 1, 1, 1, 3]
gratify	1.3	1.00499	[2, -1, 1, 3, 1, 1, 1, 1, 2, 2]
gratifying	2.3	0.45826	[2, 3, 2, 2, 2, 2, 3, 2, 2, 3]
gratifyingly	2.0	0.63246	[2, 2, 2, 1, 3, 2, 1, 3, 2, 2]
gratin	0.4	0.91652	[0, 1, 0, 0, 0, 0, 2, 0, -1, 2]
grating	-0.4	0.4899	[-1, -1, -1, 0, 0, -1, 0, 0, 0, 0]
gratingly	-0.2	1.6	[1, -3, -2, -2, 0, 2, 1, -1, 1, 1]
gratings	-0.8	0.9798	[0, -2, -1, -1, 0, 0, -3, 0, 0, -1]
gratins	0.2	0.6	[0, 0, 0, 0, 0, 0, 0, 0, 2, 0]
gratis	0.2	0.9798	[-2, 1, 1, 0, 0, 0, -1, 1, 1, 1]
gratitude	2.3	0.64031	[2, 2, 3, 1, 2, 3, 2, 3, 3, 2]
gratz	2.0	0.89443	[2, 3, 2, 1, 1, 1, 2, 2, 4, 2]
grave	-1.6	1.62481	[-2, -2, 0, -2, -3, 2, -3, -1, -1, -4]
graved	-0.9	1.13578	[0, 0, -1, 0, -1, -1, -1, -1, -4, 0]
gravel	-0.5	0.5	[0, -1, 0, -1, -1, -1, -1, 0, 0, 0]
graveled	-0.5	0.80623	[0, 0, 0, 0, -1, -2, 0, 0, -2, 0]
graveless	-1.3	1.34536	[-2, -2, 0, -1, 0, -2, -4, 1, -1, -2]
graveling	-0.4	1.28062	[-3, 0, -2, 0, 2, -1, 0, 0, 0, 0]
gravelled	-0.9	0.53852	[0, -1, -1, -2, 0, -1, -1, -1, -1, -1]
gravelling	-0.4	1.11355	[0, -1, -2, -2, 0, -1, 0, 0, 2, 0]
gravelly	-0.9	0.7	[0, -2, -1, -1, 0, -1, -1, 0, -1, -2]
gravels	-0.5	0.80623	[0, -1, 0, 0, 0, -2, 0, 0, 0, -2]
gravely	-1.5	1.0247	[0, -3, -1, 0, -3, -2, -1, -1, -2, -2]
graven	-0.9	1.22066	[0, 0, -1, 0, -2, -1, -1, 0, -4, 0]
graveness	-1.5	0.67082	[-1, -2, -2, -3, -2, -1, -1, -1, -1, -1]
graver	-1.1	1.22066	[0, -2, -1, 0, 0, -2, -1, 0, -4, -1]
gravers	-1.2	1.6	[-4, 0, -2, 0, -2, -2, -2, 0, 2, -2]
graves	-1.2	1.07703	[0, 0, -1, -1, -2, -1, -1, -1, -4, -1]
graveside	-0.8	0.6	[-1, -1, -1, 0, 0, 0, -1, -2, -1, -1]
gravesides	-1.6	1.2	[-2, -1, 0, -3, -1, 0, -1, -2, -2, -4]
gravest	-1.3	1.9	[-3, -1, -2, -2, 1, 1, -2, 2, -3, -4]
gravestone	-0.7	0.78102	[0, -1, 0, -1, -1, -2, 0, 0, -2, 0]
gravestones	-0.5	0.5	[-1, -1, 0, -1, -1, -1, 0, 0, 0, 0]
graveyard	-1.2	0.87178	[0, 0, -1, -2, -1, -1, -2, -1, -3, -1]
graveyards	-1.2	0.87178	[0, -1, -3, -1, -1, -2, 0, -1, -2, -1]
great	3.1	0.7	[2, 4, 4, 4, 3, 3, 3, 3, 2, 3]
greater	1.5	0.67082	[2, 1, 2, 1, 2, 2, 2, 1, 0, 2]
greatest	3.2	0.74833	[3, 4, 3, 3, 3, 4, 4, 2, 2, 4]
greed	-1.7	1.61555	[-2, -1, -2, -1, -2, -4, -1, 2, -4, -2]
greedier	-2.0	0.63246	[-2, -2, -2, -2, -2, -3, -2, -1, -1, -3]
greediest	-2.8	0.87178	[-3, -4, -3, -2, -2, -4, -4, -2, -2, -2]
greedily	-1.9	1.22066	[-2, -1, -3, -3, -3, -2, -1, -2, 1, -3]
greediness	-1.7	1.00499	[-2, -1, -2, -1, -2, -4, -1, 0, -2, -2]
greeds	-1.0	1.18322	[-1, -2, -2, -2, -2, -2, 1, 0, -1, 1]
greedy	-1.3	1.48661	[-2, -2, -2, -2, -3, -2, 2, -1, -2, 1]
greenwash	-1.8	1.4	[-1, 0, -2, -2, -3, -4, 0, 0, -3, -3]
greenwashing	-0.4	0.91652	[-1, 0, 0, 1, 1, -2, -1, -1, 0, -1]
greet	1.3	0.64031	[1, 1, 1, 1, 0, 2, 2, 2, 2, 1]
greeted	1.1	0.9434	[2, 0, 0, 1, 1, 1, 0, 2, 1, 3]
greeting	1.6	0.4899	[2, 1, 2, 2, 1, 2, 2, 1, 1, 2]
greetings	1.8	1.07703	[1, 2, 3, 3, 1, 1, 1, 4, 1, 1]
greets	0.6	0.66332	[0, 0, 2, 0, 1, 1, 0, 1, 1, 0]
grey	0.2	0.4	[0, 0, 1, 0, 0, 0, 1, 0, 0, 0]
grief	-2.2	0.6	[-2, -1, -3, -2, -3, -3, -2, -2, -2, -2]
grievance	-2.1	0.53852	[-2, -2, -3, -2, -2, -3, -2, -1, -2, -2]
grievances	-1.5	0.5	[-2, -2, -1, -1, -2, -1, -1, -2, -2, -1]
grievant	-0.8	1.249	[-2, 1, -1, -2, -1, 2, -2, -1, -1, -1]
grievants	-1.1	0.83066	[-1, -1, -1, -1, -1, -1, 0, -2, 0, -3]
grieve	-1.6	1.49666	[-2, -3, -1, -3, 1, -3, -1, -2, 1, -3]
grieved	-2.0	0.89443	[-3, -3, -3, -2, -2, -3, -1, -1, -1, -1]
griever	-1.9	0.83066	[-2, -2, -3, -2, -3, -3, -1, -1, -1, -1]
grievers	-0.3	1.55242	[-1, 2, -2, -1, 1, -2, 2, -2, 1, -1]
grieves	-2.1	0.9434	[-3, -3, -3, -2, -3, -3, -1, -1, -1, -1]
grieving	-2.3	1.1	[-2, -4, -2, -3, -3, 0, -3, -2, -1, -3]
grievous	-2.0	1.84391	[-3, -4, -2, -3, -1, 3, -2, -3, -2, -3]
grievously	-1.7	1.55242	[-3, -1, -4, -2, -2, 1, -3, 1, -2, -2]
grievousness	-2.7	0.78102	[-3, -3, -3, -2, -3, -4, -2, -1, -3, -3]
grim	-2.7	0.64031	[-2, -4, -3, -3, -2, -2, -3, -3, -2, -3]
grimace	-1.0	2.14476	[-4, -3, -2, -2, 2, -1, -1, -3, 2, 2]
grimaced	-2.0	0.63246	[-2, -3, -2, -2, -2, -2, -1, -3, -1, -2]
grimaces	-1.8	0.74833	[-1, -2, -1, -2, -2, -1, -3, -3, -1, -2]
grimacing	-1.4	1.56205	[-3, -2, -3, -3, -1, -1, 1, 0, 1, -3]
grimalkin	-0.9	1.04403	[-1, -2, -1, 1, -2, -2, -1, -1, 1, -1]
grimalkins	-0.9	0.9434	[0, 0, 0, -2, -1, -1, -1, 0, -3, -1]
grime	-1.5	0.92195	[-1, -2, -1, -1, -1, -3, 0, -2, -1, -3]
grimed	-1.2	0.74833	[-2, -2, 0, -2, -1, -1, -1, -2, -1, 0]
grimes	-1.0	0.7746	[-2, -2, 0, 0, -1, -1, -1, -2, -1, 0]
grimier	-1.6	1.0198	[-1, -2, -2, -2, -1, 0, -4, -1, -1, -2]
grimiest	-0.7	2.05183	[-2, -3, 1, -3, 2, -2, -2, -2, 2, 2]
grimily	-0.7	1.61555	[-2, -1, -1, -2, -2, 2, -2, 2, 1, -2]
griminess	-1.6	0.4899	[-1, -2, -2, -2, -1, -2, -2, -1, -1, -2]
griming	-0.7	1.55242	[-3, -1, -1, -2, 0, 2, -1, -2, -1, 2]
grimly	-1.3	1.55242	[-2, -1, 2, -2, -2, -1, -3, -3, 1, -2]
grimmer	-1.5	1.36015	[1, -2, -3, 1, -2, -1, -2, -2, -3, -2]
grimmest	-0.8	1.72047	[-2, -1, -3, 0, -2, -1, 0, 2, 2, -3]
grimness	-0.8	1.98997	[2, -2, -3, -2, -3, 2, -1, 1, 1, -3]
grimy	-1.8	0.87178	[-2, -2, -2, -1, -1, -3, 0, -2, -2, -3]
grin	2.1	0.83066	[2, 4, 2, 2, 2, 1, 2, 3, 1, 2]
grinned	1.1	0.9434	[1, 1, 2, 1, 3, 1, -1, 1, 1, 1]
grinner	1.1	0.83066	[1, 1, 2, 2, 2, 1, -1, 1, 1, 1]
grinners	1.6	0.8	[2, 2, 2, 3, 1, 0, 2, 2, 1, 1]
grinning	1.5	1.0247	[3, 2, 2, 1, 1, -1, 1, 2, 2, 2]
grins	0.9	1.92094	[1, 4, -3, 1, 2, 1, 2, -2, 2, 1]
gross	-2.1	1.51327	[-1, -3, -2, -3, -3, -3, -3, 2, -2, -3]
grossed	-0.4	1.11355	[-1, -2, -1, -2, 0, 0, 1, 1, 1, -1]
grosser	-0.3	1.41774	[1, -2, -1, -2, 0, -1, 1, 2, 1, -2]
grosses	-0.8	1.77764	[-2, -2, 3, -2, -3, -1, 1, -1, 1, -2]
grossest	-2.1	0.83066	[-2, -1, -2, -3, -3, -1, -3, -3, -1, -2]
grossing	-0.3	1.79165	[-1, -3, -1, 1, 0, -1, -3, 1, 1, 3]
grossly	-0.9	1.44568	[1, -2, 0, -3, -1, -2, 1, 1, -2, -2]
grossness	-1.8	0.6	[-2, -2, -1, -1, -1, -3, -2, -2, -2, -2]
grossular	-0.3	1.34536	[0, -2, 0, -1, -2, -1, 0, 0, 0, 3]
grossularite	-0.1	1.13578	[2, 0, 0, 0, 0, -3, 0, 0, 0, 0]
grossularites	-0.7	1.26886	[0, -4, -1, -2, 0, 0, 0, 0, 0, 0]
grossulars	-0.3	0.45826	[0, 0, 0, 0, -1, -1, 0, 0, 0, -1]
grouch	-2.2	0.87178	[-2, -3, -3, -3, -2, -1, -3, -1, -1, -3]
grouched	-0.8	0.9798	[-2, -1, -2, -2, 1, -1, 0, 0, 0, -1]
grouches	-0.9	1.13578	[-2, -1, -2, -1, -1, -1, -1, 2, 0, -2]
grouchier	-2.0	0.63246	[-2, -3, -3, -2, -2, -2, -2, -1, -2, -1]
grouchiest	-2.3	0.78102	[-3, -3, -2, -2, -1, -3, -1, -3, -3, -2]
grouchily	-1.4	1.56205	[-2, -1, -2, -3, -3, 2, -2, -2, 1, -2]
grouchiness	-2.0	0.7746	[-2, -2, -3, -2, -3, -2, -2, 0, -2, -2]
grouching	-1.7	1.1	[-1, -3, -2, 1, -2, -3, -2, -1, -2, -2]
grouchy	-1.9	0.7	[-1, -3, -2, -2, -1, -3, -1, -2, -2, -2]
growing	0.7	0.64031	[0, 1, 1, 2, 1, 0, 0, 1, 1, 0]
growth	1.6	1.0198	[2, 0, 3, 0, 2, 3, 1, 1, 2, 2]
guarantee	1.0	1.0	[2, 3, 1, 0, 2, 0, 1, 0, 0, 1]
guilt	-1.1	1.22066	[-1, -3, 2, -1, -1, -2, -1, -2, -1, -1]
guiltier	-2.0	0.63246	[-2, -1, -3, -1, -3, -2, -2, -2, -2, -2]
guiltiest	-1.7	1.79165	[-3, -2, -2, -4, -1, -2, 3, -1, -3, -2]
guiltily	-1.1	1.57797	[-3, -1, -1, -2, 0, -2, 3, -2, -1, -2]
guiltiness	-1.8	0.6	[-2, -2, -1, -2, -1, -1, -2, -2, -3, -2]
guiltless	0.8	1.53623	[3, 2, 1, 2, -2, 1, 1, -2, 1, 1]
guiltlessly	0.7	1.18743	[-1, 1, -2, 2, 1, 1, 1, 1, 2, 1]
guiltlessness	0.6	1.42829	[1, 1, -1, -1, -1, 1, 2, 3, -1, 2]
guilts	-1.4	0.66332	[-1, -2, -1, -1, -3, -1, -1, -2, -1, -1]
guilty	-1.8	0.6	[-1, -2, -2, -3, -2, -2, -1, -2, -2, -1]
gullibility	-1.6	0.66332	[-1, -1, -2, -2, -1, -2, -1, -2, -1, -3]
gullible	-1.5	0.67082	[-1, -2, -2, -1, -1, -3, -2, -1, -1, -1]
gun	-1.4	1.49666	[0, -4, 0, -3, 0, -3, -2, 0, -2, 0]
h8	-2.7	1.00499	[-4, -3, -4, -1, -1, -3, -3, -3, -2, -3]
ha	1.4	0.8	[1, 0, 1, 1, 3, 2, 2, 1, 2, 1]
hacked	-1.7	1.00499	[-2, -1, -2, -4, 0, -2, -2, -1, -1, -2]
haha	2.0	0.89443	[1, 1, 2, 3, 2, 1, 4, 2, 2, 2]
hahaha	2.6	1.0198	[2, 4, 2, 4, 1, 2, 3, 4, 2, 2]
hahas	1.8	0.9798	[1, 2, 2, 4, 3, 2, 1, 1, 1, 1]
hail	0.3	0.9	[0, 0, 0, 2, 0, 0, 2, 0, -1, 0]
hailed	0.9	0.83066	[1, 2, 1, 1, 0, 0, 0, 2, 2, 0]
hallelujah	3.0	0.7746	[3, 4, 3, 1, 3, 3, 3, 3, 3, 4]
handsome	2.2	0.74833	[2, 2, 2, 2, 2, 3, 4, 1, 2, 2]
handsomely	1.9	0.7	[1, 3, 1, 1, 2, 2, 2, 2, 2, 3]
handsomeness	2.4	1.28062	[2, 4, 1, 4, 0, 2, 4, 3, 2, 2]
handsomer	2.0	0.63246	[2, 3, 2, 2, 2, 2, 1, 3, 1, 2]
handsomest	2.6	0.91652	[3, 2, 1, 2, 3, 4, 4, 3, 2, 2]
hapless	-1.4	1.11355	[-3, -1, -1, -1, -2, -1, 1, -2, -3, -1]
haplessness	-1.4	1.0198	[-1, -2, 0, -1, -1, -1, -1, -2, -1, -4]
happier	2.4	0.66332	[3, 1, 2, 3, 2, 2, 3, 3, 3, 2]
happiest	3.2	0.74833	[4, 3, 2, 4, 4, 3, 3, 3, 2, 4]
happily	2.6	0.91652	[4, 1, 2, 4, 2, 3, 2, 2, 3, 3]
happiness	2.6	0.4899	[2, 3, 3, 3, 3, 2, 2, 3, 2, 3]
happing	1.1	0.83066	[1, 1, 1, 0, 2, 2, 0, 2, 0, 2]
happy	2.7	0.9	[2, 2, 2, 4, 2, 4, 3, 4, 2, 2]
harass	-2.2	0.6	[-2, -3, -2, -2, -2, -3, -2, -3, -1, -2]
harassed	-2.5	0.80623	[-4, -2, -3, -3, -2, -2, -3, -2, -3, -1]
harasser	-2.4	0.8	[-3, -2, -2, -3, -2, -2, -4, -2, -3, -1]
harassers	-2.8	0.6	[-3, -3, -2, -2, -3, -3, -3, -4, -2, -3]
harasses	-2.5	0.80623	[-3, -3, -2, -3, -2, -2, -4, -2, -3, -1]
harassing	-2.5	1.62788	[-2, -4, -3, -4, -3, -3, 2, -2, -3, -3]
harassment	-2.5	0.67082	[-2, -3, -2, -2, -3, -2, -4, -3, -2, -2]
harassments	-2.6	0.4899	[-3, -3, -2, -3, -2, -3, -3, -2, -2, -3]
hard	-0.4	1.2	[0, -1, 0, -1, 0, 1, -2, -1, -2, 2]
hardier	-0.6	1.68523	[-3, -2, -2, 1, 1, 2, 1, 0, -2, -2]
hardship	-1.3	1.84662	[-2, 2, -4, -1, -2, -3, -1, -2, 2, -2]
hardy	1.7	1.00499	[1, 2, 1, 0, 2, 2, 4, 1, 2, 2]
harm	-2.5	0.80623	[-2, -2, -2, -3, -2, -1, -3, -3, -3, -4]
harmed	-2.1	0.83066	[-1, -4, -2, -2, -2, -2, -1, -2, -3, -2]
harmfully	-2.6	0.91652	[-3, -4, -3, -1, -3, -3, -3, -3, -1, -2]
harmfulness	-2.6	0.8	[-3, -1, -3, -3, -3, -2, -4, -2, -2, -3]
harming	-2.6	0.66332	[-3, -3, -2, -2, -3, -3, -2, -2, -2, -4]
harmless	1.0	0.7746	[2, 1, 1, 1, 1, 0, 0, 2, 0, 2]
harmlessly	1.4	1.2	[4, 0, 1, 0, 1, 1, 1, 2, 3, 1]
harmlessness	0.8	1.16619	[1, 2, 0, 1, 0, 1, 2, 1, 2, -2]
harmonic	1.8	0.87178	[2, 1, 2, 3, 0, 1, 3, 2, 2, 2]
harmonica	0.6	0.8	[0, 1, 0, 0, 0, 2, 1, 0, 2, 0]
harmonically	2.1	1.13578	[3, 3, 4, 1, 0, 1, 2, 2, 2, 3]
harmonicas	0.1	0.3	[0, 0, 0, 0, 0, 0, 1, 0, 0, 0]
harmonicist	0.5	0.92195	[0, 0, 0, 0, 1, 0, 0, 0, 1, 3]
harmonicists	0.9	1.3	[2, 1, 0, 0, 2, 0, 0, 0, 4, 0]
harmonics	1.5	1.0247	[2, 2, 2, 0, 0, 2, 3, 2, 0, 2]
harmonies	1.3	0.9	[2, 0, 2, 1, 2, 2, 0, 2, 0, 2]
harmonious	2.0	1.09545	[3, 4, 2, 2, 2, 0, 2, 3, 1, 1]
harmoniously	1.9	0.9434	[4, 2, 2, 1, 2, 1, 1, 3, 2, 1]
harmoniousness	1.8	0.6	[1, 2, 2, 2, 2, 1, 2, 3, 2, 1]
harmonise	1.8	0.74833	[1, 1, 2, 3, 2, 1, 1, 3, 2, 2]
harmonised	1.3	0.9	[2, 3, 2, 0, 2, 1, 1, 1, 1, 0]
harmonising	1.4	0.66332	[1, 2, 1, 1, 2, 1, 1, 1, 1, 3]
harmonium	0.9	1.22066	[0, 3, 0, 2, 3, 0, 0, 0, 0, 1]
harmoniums	0.8	0.9798	[0, 0, 0, 2, 0, 2, 0, 2, 2, 0]
harmonization	1.9	0.83066	[3, 1, 2, 2, 2, 2, 3, 0, 2, 2]
harmonizations	0.9	0.9434	[0, 0, 2, 0, 2, 2, 0, 2, 1, 0]
harmonize	1.7	0.78102	[3, 2, 2, 1, 2, 2, 0, 1, 2, 2]
harmonized	1.6	0.91652	[1, 2, 1, 1, 2, 2, 3, 3, 0, 1]
harmonizer	1.6	0.8	[1, 2, 1, 1, 2, 2, 2, 3, 0, 2]
harmonizers	1.6	1.11355	[2, 2, 2, 1, 2, 0, 4, 0, 2, 1]
harmonizes	1.5	0.92195	[0, 2, 2, 2, 0, 1, 1, 2, 3, 2]
harmonizing	1.4	0.66332	[0, 1, 1, 2, 2, 1, 2, 2, 1, 2]
harmony	1.7	0.45826	[2, 2, 2, 2, 1, 2, 2, 2, 1, 1]
harms	-2.2	1.6	[2, -3, -2, -2, -3, -2, -4, -4, -2, -2]
harried	-1.4	0.4899	[-1, -1, -2, -1, -2, -2, -1, -1, -1, -2]
harsh	-1.9	0.7	[-1, -1, -2, -2, -1, -3, -3, -2, -2, -2]
harsher	-2.2	0.6	[-2, -3, -2, -3, -2, -2, -1, -3, -2, -2]
harshest	-2.9	0.83066	[-4, -2, -2, -2, -2, -3, -3, -4, -4, -3]
hate	-2.7	1.00499	[-4, -3, -4, -4, -2, -2, -2, -2, -1, -3]
hated	-3.2	0.6	[-3, -3, -4, -3, -2, -3, -3, -4, -4, -3]
hateful	-2.2	1.249	[-3, 1, -3, -3, -1, -2, -2, -3, -3, -3]
hatefully	-2.3	0.78102	[-1, -3, -3, -3, -1, -2, -2, -2, -3, -3]
hatefulness	-3.6	0.4899	[-4, -4, -3, -3, -3, -4, -4, -4, -4, -3]
hater	-1.8	0.6	[-2, -1, -2, -2, -2, -1, -1, -2, -2, -3]
haters	-2.2	0.6	[-2, -1, -3, -2, -3, -2, -3, -2, -2, -2]
hates	-1.9	0.7	[-2, -1, -2, -2, -3, -1, -1, -2, -2, -3]
hating	-2.3	1.1	[-4, -3, -4, -1, -2, -2, -1, -2, -1, -3]
hatred	-3.2	0.9798	[-1, -3, -2, -4, -3, -3, -4, -4, -4, -4]
haunt	-1.7	1.00499	[-1, -1, -3, -1, -2, -2, -1, -4, -1, -1]
haunted	-2.1	0.7	[-2, -2, -1, -3, -3, -2, -2, -3, -1, -2]
haunting	-1.1	0.83066	[-3, 0, -2, -1, 0, -1, -1, -1, -1, -1]
haunts	-1.0	1.41421	[0, -2, -2, -2, -2, -1, 2, -2, 1, -2]
havoc	-2.9	0.7	[-2, -4, -4, -3, -2, -3, -3, -3, -2, -3]
healthy	1.7	0.9	[1, 3, 1, 1, 3, 3, 1, 2, 1, 1]
heartbreak	-2.7	0.78102	[-1, -3, -3, -3, -2, -4, -2, -3, -3, -3]
heartbreaker	-2.2	1.07703	[-2, -3, 0, -3, -2, -1, -4, -3, -2, -2]
heartbreakers	-2.1	0.9434	[-3, -2, -3, -2, -1, -1, -4, -1, -2, -2]
heartbreaking	-2.0	1.73205	[-3, -1, -3, -3, -4, 2, -3, -2, 0, -3]
heartbreakingly	-1.8	2.08806	[-3, 3, 1, -3, -3, -2, -3, -3, -4, -1]
heartbreaks	-1.8	1.77764	[-2, 1, -3, -2, -3, -2, -3, 2, -4, -2]
heartbroken	-3.3	0.45826	[-4, -3, -3, -4, -3, -3, -4, -3, -3, -3]
heartfelt	2.5	0.5	[3, 3, 2, 3, 2, 2, 3, 2, 2, 3]
heartless	-2.2	0.74833	[-2, -2, -2, -4, -2, -1, -2, -3, -2, -2]
heartlessly	-2.8	0.6	[-3, -2, -3, -3, -2, -3, -4, -2, -3, -3]
heartlessness	-2.8	0.87178	[-3, -3, -2, -3, -4, -4, -1, -3, -2, -3]
heartwarming	2.1	1.22066	[3, 2, 3, 3, 2, 2, 3, 3, -1, 1]
heaven	2.3	1.18743	[1, 1, 2, 4, 3, 3, 3, 4, 1, 1]
heavenlier	3.0	0.63246	[3, 2, 3, 3, 4, 3, 3, 4, 2, 3]
heavenliest	2.7	1.1	[3, 2, 3, 4, 2, 4, 3, 0, 3, 3]
heavenliness	2.7	0.9	[3, 2, 1, 4, 3, 2, 3, 4, 3, 2]
heavenlinesses	2.3	2.2383	[4, 4, 4, 3, -2, 3, 3, 4, -2, 2]
heavenly	3.0	0.63246	[3, 3, 3, 3, 2, 3, 3, 4, 2, 4]
heavens	1.7	1.18743	[4, 0, 1, 2, 0, 3, 2, 2, 2, 1]
heavenward	1.4	1.35647	[0, 3, 0, 4, 1, 2, 2, 0, 2, 0]
heavenwards	1.2	1.32665	[1, 4, 0, 0, 2, 1, 1, 0, 3, 0]
heavyhearted	-2.1	0.83066	[-2, -3, -3, -2, -3, -1, -1, -1, -2, -3]
heh	-0.6	1.28062	[0, 1, -1, 1, -1, -2, -1, -3, 1, -1]
hell	-3.6	0.66332	[-4, -4, -4, -4, -4, -2, -3, -4, -3, -4]
hellish	-3.2	0.74833	[-3, -3, -2, -2, -4, -3, -4, -4, -3, -4]
help	1.7	0.78102	[3, 2, 1, 2, 1, 2, 3, 1, 1, 1]
helper	1.4	0.8	[1, 1, 0, 1, 1, 2, 1, 2, 3, 2]
helpers	1.1	0.83066	[1, 1, 0, 2, 1, 1, 1, 1, 3, 0]
helpful	1.8	0.87178	[2, 1, 3, 1, 1, 3, 1, 2, 3, 1]
helpfully	2.3	0.9	[1, 2, 2, 3, 2, 3, 3, 2, 4, 1]
helpfulness	1.9	1.13578	[1, 4, 1, 2, 2, 1, 1, 2, 4, 1]
helping	1.2	0.6	[2, 1, 1, 2, 0, 1, 1, 1, 2, 1]
helpless	-2.0	0.63246	[-2, -3, -2, -2, -2, -3, -1, -2, -1, -2]
helplessly	-1.4	0.4899	[-1, -1, -2, -2, -1, -1, -1, -2, -2, -1]
helplessness	-2.1	0.9434	[-2, -4, -1, -2, -1, -3, -3, -2, -1, -2]
helplessnesses	-1.7	0.64031	[-2, -1, -2, -1, -2, -1, -3, -2, -1, -2]
helps	1.6	0.4899	[1, 1, 1, 2, 2, 2, 1, 2, 2, 2]
hero	2.6	0.8	[2, 3, 2, 2, 4, 4, 2, 3, 2, 2]
heroes	2.3	0.9	[3, 4, 3, 1, 3, 2, 1, 2, 2, 2]
heroic	2.6	0.8	[3, 3, 1, 4, 2, 3, 2, 3, 2, 3]
heroical	2.9	1.04403	[4, 4, 2, 4, 2, 3, 1, 4, 2, 3]
heroically	2.4	0.8	[2, 2, 2, 3, 3, 3, 4, 1, 2, 2]
heroicomic	1.0	1.0	[1, 0, 1, 0, 2, 0, 3, 1, 2, 0]
heroicomical	1.1	0.83066	[2, 0, 0, 2, 1, 2, 1, 2, 1, 0]
heroics	2.4	0.8	[2, 1, 2, 2, 2, 3, 3, 3, 4, 2]
heroin	-2.2	1.83303	[0, -2, -4, 2, -4, -2, -2, -3, -3, -4]
heroine	2.7	1.1	[0, 2, 4, 4, 3, 3, 3, 3, 2, 3]
heroines	1.8	1.32665	[2, 1, 1, 4, 3, 1, 0, 3, 3, 0]
heroinism	-2.0	2.0	[-3, -4, 2, -2, -4, -3, -2, -1, 1, -4]
heroism	2.8	0.6	[3, 3, 4, 3, 2, 2, 3, 3, 2, 3]
heroisms	2.2	0.87178	[3, 1, 2, 4, 3, 2, 2, 2, 1, 2]
heroize	2.1	0.7	[3, 2, 3, 1, 2, 2, 2, 3, 1, 2]
heroized	2.0	1.18322	[1, 0, 3, 3, 2, 0, 3, 3, 2, 3]
heroizes	2.2	0.9798	[1, 3, 2, 3, 4, 3, 2, 1, 2, 1]
heroizing	1.9	1.64012	[2, 3, -2, 2, 4, 3, 2, 2, 3, 0]
heron	0.1	0.3	[0, 0, 0, 0, 0, 1, 0, 0, 0, 0]
heronries	0.7	1.1	[2, 0, 0, 0, 2, 0, 3, 0, 0, 0]
heronry	0.1	0.9434	[0, 0, 0, 0, 0, 2, 0, 1, -2, 0]
herons	0.5	1.0247	[0, 0, 0, 3, 0, 2, 0, 0, 0, 0]
heros	1.3	1.18743	[3, 0, 0, 2, 0, 2, 2, 3, 1, 0]
hesitance	-0.9	0.3	[-1, -1, 0, -1, -1, -1, -1, -1, -1, -1]
hesitancies	-1.0	0.63246	[-1, -1, -1, -2, -1, -1, -2, 0, 0, -1]
hesitancy	-0.9	0.53852	[0, -1, 0, -2, -1, -1, -1, -1, -1, -1]
hesitant	-1.0	0.7746	[0, -1, 0, -1, -2, 0, -1, -2, -1, -2]
hesitantly	-1.2	0.4	[-1, -1, -2, -1, -1, -1, -1, -2, -1, -1]
hesitate	-1.1	0.53852	[-2, -1, -1, -1, -2, -1, -1, 0, -1, -1]
hesitated	-1.3	0.9	[-1, -2, -1, -2, -2, -2, -1, 1, -1, -2]
hesitater	-1.4	0.66332	[-1, -1, -1, -1, -1, -2, -1, -3, -2, -1]
hesitaters	-1.4	0.4899	[-1, -2, -1, -1, -1, -1, -2, -2, -2, -1]
hesitates	-1.4	0.4899	[-1, -1, -1, -2, -1, -2, -1, -2, -2, -1]
hesitating	-1.4	0.66332	[-1, -1, -2, -1, -1, -3, -2, -1, -1, -1]
hesitatingly	-1.5	0.80623	[-1, -1, -1, -1, -3, -2, -3, -1, -1, -1]
hesitation	-1.1	0.53852	[-2, 0, -1, -1, -1, -1, -1, -2, -1, -1]
hesitations	-1.1	0.53852	[-1, -1, -1, 0, -2, -1, -1, -2, -1, -1]
hid	-0.4	0.4899	[0, -1, 0, 0, -1, -1, -1, 0, 0, 0]
hide	-0.7	0.64031	[0, -1, -1, -1, -1, 0, 0, -2, -1, 0]
hides	-0.7	0.9	[-1, -2, -1, 0, -1, 0, 0, -2, 1, -1]
hiding	-1.2	0.4	[-1, -1, -2, -1, -1, -1, -1, -1, -2, -1]
highlight	1.4	0.91652	[3, 0, 1, 1, 2, 1, 0, 2, 2, 2]
hilarious	1.7	1.41774	[2, 2, 2, 3, 3, 1, -2, 2, 3, 1]
hindrance	-1.7	0.78102	[-2, -3, -2, -1, -1, -1, -3, -1, -2, -1]
hoax	-1.1	1.04403	[-3, -1, -2, -1, 1, -2, -1, -1, -1, 0]
holiday	1.7	1.18743	[1, 3, 2, 2, 0, 0, 1, 2, 4, 2]
holidays	1.6	1.0198	[2, 0, 1, 2, 3, 0, 1, 2, 3, 2]
homesick	-0.7	1.67631	[-2, -1, -1, -2, -1, -2, 2, -1, 3, -2]
homesickness	-1.8	1.249	[-3, -2, -1, -1, -3, -2, -1, 1, -3, -3]
homesicknesses	-1.8	0.6	[-1, -2, -2, -2, -1, -2, -1, -2, -3, -2]
honest	2.3	0.9	[3, 2, 1, 2, 3, 1, 2, 3, 2, 4]
honester	1.9	0.7	[2, 3, 2, 2, 1, 3, 1, 1, 2, 2]
honestest	3.0	0.7746	[1, 3, 3, 3, 3, 3, 4, 4, 3, 3]
honesties	1.8	1.07703	[4, 3, 1, 1, 1, 1, 3, 2, 1, 1]
honestly	2.0	0.63246	[2, 3, 2, 2, 1, 2, 2, 1, 3, 2]
honesty	2.2	0.6	[2, 3, 2, 2, 1, 2, 3, 2, 3, 2]
honor	2.2	1.16619	[3, 2, 1, 2, 0, 4, 3, 1, 3, 3]
honorability	2.2	0.4	[3, 3, 2, 2, 2, 2, 2, 2, 2, 2]
honorable	2.5	0.67082	[2, 2, 3, 2, 4, 3, 2, 2, 2, 3]
honorableness	2.2	0.87178	[2, 4, 1, 3, 3, 2, 1, 2, 2, 2]
honorably	2.4	0.66332	[2, 2, 3, 2, 3, 3, 3, 1, 2, 3]
honoraria	0.6	0.8	[1, 0, 1, 0, 0, 0, 2, 0, 2, 0]
honoraries	1.5	1.5	[2, 2, 1, 3, 3, 1, -2, 2, 3, 0]
honorarily	1.9	0.7	[2, 2, 3, 1, 2, 1, 2, 1, 3, 2]
honorarium	0.7	1.48661	[3, 2, -1, 2, 1, -2, 1, 1, -1, 1]
honorariums	1.0	1.0	[0, 0, 0, 0, 1, 2, 1, 3, 2, 1]
honorary	1.4	0.91652	[2, 2, 2, 3, 1, 1, 0, 1, 2, 0]
honored	2.8	0.87178	[3, 4, 4, 3, 1, 2, 2, 3, 3, 3]
honoree	2.1	0.7	[3, 2, 3, 3, 1, 2, 1, 2, 2, 2]
honorees	2.3	0.78102	[1, 3, 3, 4, 2, 2, 2, 2, 2, 2]
honorer	1.7	0.78102	[2, 1, 3, 3, 1, 2, 1, 2, 1, 1]
honorers	1.3	0.45826	[1, 1, 2, 2, 1, 1, 2, 1, 1, 1]
honorific	1.4	1.2	[2, 2, 2, 2, 2, 1, 2, 1, 2, -2]
honorifically	2.2	0.74833	[3, 4, 1, 2, 2, 2, 2, 2, 2, 2]
honorifics	1.7	0.78102	[1, 2, 0, 1, 2, 2, 2, 3, 2, 2]
honoring	2.3	0.64031	[3, 3, 1, 2, 2, 3, 3, 2, 2, 2]
honors	2.3	0.64031	[3, 2, 2, 2, 1, 3, 3, 2, 3, 2]
honour	2.7	0.78102	[2, 3, 2, 2, 2, 3, 4, 4, 3, 2]
honourable	2.1	0.53852	[2, 3, 2, 2, 2, 1, 3, 2, 2, 2]
honoured	2.2	1.249	[3, 3, 4, 3, -1, 2, 2, 2, 2, 2]
honourer	1.8	0.87178	[2, 3, 2, 1, 2, 3, 1, 0, 2, 2]
honourers	1.6	1.0198	[0, 2, 2, 1, 2, 2, 1, 3, 0, 3]
honouring	2.1	0.3	[2, 2, 2, 3, 2, 2, 2, 2, 2, 2]
honours	2.2	0.87178	[4, 3, 2, 2, 3, 2, 2, 1, 2, 1]
hooligan	-1.5	0.5	[-1, -2, -1, -2, -2, -2, -1, -1, -2, -1]
hooliganism	-2.1	0.83066	[-3, -2, -3, -3, -2, -2, -2, -2, 0, -2]
hooligans	-1.1	1.22066	[-2, -1, -1, 2, -1, -1, -1, -3, -2, -1]
hooray	2.3	0.9	[3, 2, 3, 2, 1, 3, 1, 2, 2, 4]
hope	1.9	0.53852	[3, 2, 2, 1, 2, 2, 1, 2, 2, 2]
hoped	1.6	0.4899	[1, 2, 1, 1, 2, 2, 1, 2, 2, 2]
hopeful	2.3	0.78102	[2, 1, 1, 3, 3, 3, 2, 3, 2, 3]
hopefully	1.7	0.78102	[1, 3, 1, 3, 1, 2, 1, 1, 2, 2]
hopefulness	1.6	1.35647	[2, 1, -2, 2, 3, 2, 1, 3, 2, 2]
hopeless	-2.0	1.78885	[-3, -3, -3, -3, 3, -1, -3, -3, -2, -2]
hopelessly	-2.2	0.74833	[-3, -4, -2, -2, -1, -2, -2, -2, -2, -2]
hopelessness	-3.1	0.7	[-3, -4, -4, -3, -3, -3, -4, -3, -2, -2]
hopes	1.8	0.6	[1, 3, 1, 2, 2, 2, 1, 2, 2, 2]
hoping	1.8	0.4	[2, 2, 2, 1, 2, 2, 2, 2, 2, 1]
horrendous	-2.8	0.87178	[-3, -3, -4, -4, -3, -3, -2, -2, -1, -3]
horrendously	-1.9	1.92094	[-3, -2, -4, -4, 2, -1, -3, -2, 1, -3]
horrent	-0.9	1.04403	[0, -1, -2, 0, 0, -3, -1, 0, -2, 0]
horrible	-2.5	0.67082	[-2, -2, -3, -2, -2, -4, -3, -3, -2, -2]
horribleness	-2.4	0.4899	[-3, -3, -2, -2, -3, -2, -2, -3, -2, -2]
horribles	-2.1	0.7	[-2, -4, -2, -2, -1, -2, -2, -2, -2, -2]
horribly	-2.4	0.66332	[-2, -2, -2, -2, -2, -4, -3, -3, -2, -2]
horrid	-2.5	1.0247	[-2, -3, -3, -4, -4, -1, -2, -2, -3, -1]
horridly	-1.4	1.49666	[-2, 0, -3, -2, 0, -3, 2, -2, -2, -2]
horridness	-2.3	1.26886	[-3, -3, -2, 1, -3, -3, -3, -3, -1, -3]
horridnesses	-3.0	1.09545	[-2, -3, -4, -4, -4, -4, -2, -2, -1, -4]
horrific	-3.4	0.91652	[-2, -4, -4, -4, -2, -4, -2, -4, -4, -4]
horrifically	-2.9	0.7	[-2, -3, -2, -4, -2, -4, -3, -3, -3, -3]
horrified	-2.5	0.92195	[-2, -3, -2, -2, -1, -4, -2, -2, -3, -4]
horrifies	-2.9	1.22066	[-1, -3, -2, -1, -4, -4, -4, -4, -2, -4]
horrify	-2.5	0.67082	[-2, -2, -3, -2, -2, -2, -4, -2, -3, -3]
horrifying	-2.7	0.9	[-3, -4, -3, -2, -3, -3, -4, -2, -2, -1]
horrifyingly	-3.3	0.9	[-3, -3, -4, -4, -1, -4, -3, -3, -4, -4]
horror	-2.7	1.1	[-3, -1, -4, -4, -4, -3, -1, -2, -3, -2]
horrors	-2.7	0.64031	[-3, -3, -4, -3, -2, -2, -2, -3, -2, -3]
hostile	-1.6	1.74356	[-4, -3, -3, -1, 1, -2, 2, -2, -2, -2]
hostilely	-2.2	0.6	[-1, -3, -3, -2, -2, -2, -2, -2, -2, -3]
hostiles	-1.3	1.9	[-3, -3, -3, -3, -1, 2, -3, -1, 1, 1]
hostilities	-2.1	0.53852	[-2, -3, -2, -2, -2, -2, -1, -2, -3, -2]
hostility	-2.5	0.80623	[-2, -2, -3, -3, -3, -2, -4, -2, -3, -1]
huckster	-0.9	0.7	[-1, 0, -1, 0, -1, -2, -2, 0, -1, -1]
hug	2.1	1.04403	[1, 3, 2, 1, 1, 2, 3, 3, 1, 4]
huge	1.3	0.9	[0, 2, 2, 0, 0, 2, 2, 2, 1, 2]
huggable	1.6	0.66332	[2, 2, 1, 1, 1, 3, 1, 2, 2, 1]
hugged	1.7	0.78102	[2, 2, 2, 2, 3, 1, 1, 2, 0, 2]
hugger	1.6	0.91652	[3, 2, 2, 2, 3, 1, 1, 1, 0, 1]
huggers	1.8	0.6	[1, 3, 1, 2, 1, 2, 2, 2, 2, 2]
hugging	1.8	0.74833	[2, 1, 1, 3, 3, 2, 2, 1, 2, 1]
hugs	2.2	0.74833	[3, 2, 1, 2, 2, 2, 3, 1, 3, 3]
humerous	1.4	1.11355	[-1, 2, 2, 3, 1, 1, 2, 0, 2, 2]
humiliate	-2.5	1.28452	[-3, -3, -3, -3, -2, -2, -4, -3, 1, -3]
humiliated	-1.4	2.498	[3, -3, -4, -3, -3, -4, -3, 0, 1, 2]
humiliates	-1.0	2.09762	[1, -2, -3, -3, -3, -2, -3, 1, 2, 2]
humiliating	-1.2	1.8868	[-4, -1, -3, -1, 2, -1, 2, -3, -2, -1]
humiliatingly	-2.6	0.4899	[-3, -3, -2, -2, -3, -3, -3, -3, -2, -2]
humiliation	-2.7	0.78102	[-2, -3, -4, -2, -2, -2, -3, -2, -4, -3]
humiliations	-2.4	0.66332	[-3, -2, -2, -2, -2, -2, -2, -3, -2, -4]
humor	1.1	0.53852	[1, 0, 2, 2, 1, 1, 1, 1, 1, 1]
humoral	0.6	1.0198	[2, 0, 0, 0, 0, 0, 3, 1, 0, 0]
humored	1.2	0.87178	[1, 1, 2, 2, 1, 1, 2, 1, 2, -1]
humoresque	1.2	0.6	[1, 1, 1, 2, 1, 2, 2, 1, 1, 0]
humoresques	0.9	1.04403	[1, 0, 2, 0, 0, 1, 2, 0, 3, 0]
humoring	2.1	0.7	[3, 2, 2, 2, 1, 2, 2, 1, 3, 3]
humorist	1.2	0.74833	[1, 2, 1, 1, 2, 1, 2, 0, 0, 2]
humoristic	1.5	0.80623	[3, 0, 2, 1, 2, 1, 2, 2, 1, 1]
humorists	1.3	0.78102	[2, 1, 1, 1, 0, 1, 2, 3, 1, 1]
humorless	-1.3	0.45826	[-1, -2, -1, -1, -1, -1, -2, -1, -1, -2]
humorlessness	-1.4	1.11355	[1, -3, -3, -1, -1, -2, -1, -1, -2, -1]
humorous	1.6	0.4899	[1, 2, 1, 2, 2, 1, 2, 2, 1, 2]
humorously	2.3	0.78102	[3, 3, 2, 2, 1, 3, 3, 1, 2, 3]
humorousness	2.4	0.66332	[1, 2, 3, 2, 3, 2, 3, 3, 2, 3]
humors	1.6	0.4899	[2, 1, 2, 2, 2, 2, 1, 2, 1, 1]
humour	2.1	0.9434	[1, 2, 2, 4, 2, 1, 1, 3, 3, 2]
humoured	1.1	0.53852	[1, 0, 1, 2, 2, 1, 1, 1, 1, 1]
humouring	1.7	0.78102	[2, 3, 1, 2, 1, 0, 2, 2, 2, 2]
humourous	2.0	0.7746	[1, 2, 3, 2, 2, 3, 3, 2, 1, 1]
hunger	-1.0	1.67332	[-4, 0, 2, -2, -1, -2, 1, -2, 0, -2]
hurrah	2.6	0.8	[3, 2, 3, 3, 1, 3, 4, 2, 2, 3]
hurrahed	1.9	0.53852	[2, 2, 1, 1, 2, 2, 3, 2, 2, 2]
hurrahing	2.4	0.4899	[3, 2, 2, 2, 3, 2, 3, 3, 2, 2]
hurrahs	2.1	1.44568	[2, 3, 0, 3, 2, 3, -1, 2, 3, 4]
hurray	2.7	0.78102	[3, 2, 3, 3, 1, 3, 4, 2, 3, 3]
hurrayed	1.8	1.32665	[3, 3, 2, 3, 3, 3, 0, 0, 1, 0]
hurraying	1.2	1.66132	[2, -3, 2, 3, 0, 2, 2, 2, 0, 2]
hurrays	2.4	1.11355	[2, 3, 2, 4, 0, 3, 2, 2, 2, 4]
hurt	-2.4	0.8	[-3, -3, -2, -2, -4, -3, -2, -1, -2, -2]
hurter	-2.3	0.78102	[-2, -4, -1, -2, -3, -3, -2, -2, -2, -2]
hurters	-1.9	1.04403	[-2, -3, -1, -2, -1, 0, -3, -3, -3, -1]
hurtful	-2.4	1.0198	[-2, -4, -2, -2, -1, -3, -2, -3, -1, -4]
hurtfully	-2.6	0.66332	[-3, -2, -3, -2, -2, -3, -4, -3, -2, -2]
hurtfulness	-1.9	1.51327	[2, -2, -2, -2, -3, -1, -2, -3, -4, -2]
hurting	-1.7	0.78102	[-3, -1, -1, -2, -1, -1, -3, -2, -2, -1]
hurtle	-0.3	1.1	[-2, 1, 0, -1, -1, -1, 0, 2, 0, -1]
hurtled	-0.6	0.8	[0, -2, 0, 0, 0, 0, -1, -1, -2, 0]
hurtles	-1.0	0.63246	[-1, -2, 0, 0, -1, -1, -1, -1, -2, -1]
hurtless	0.3	1.55242	[-1, -3, 2, 1, 2, 1, 0, 0, -1, 2]
hurtling	-1.4	0.8	[-3, -2, -1, -1, -1, -1, -1, -2, 0, -2]
hurts	-2.1	0.83066	[-4, -2, -2, -2, -3, -1, -2, -2, -2, -1]
hypocritical	-2.0	0.89443	[-4, -2, -1, -3, -2, -1, -2, -1, -2, -2]
hysteria	-1.9	0.7	[-1, -3, -1, -2, -2, -2, -2, -2, -1, -3]
hysterical	-0.1	1.97231	[2, 0, 0, 3, -2, -2, 3, -1, -2, -2]
hysterics	-1.8	1.77764	[-3, -3, -3, -1, -3, -1, -2, 3, -3, -2]
ideal	2.4	1.2	[4, 3, 4, 4, 2, 2, 1, 2, 1, 1]
idealess	-1.9	1.3	[-4, -2, -3, -2, -1, 0, -4, -1, -1, -1]
idealise	1.4	0.91652	[2, 2, 1, 0, 1, 3, 2, 0, 1, 2]
idealised	2.1	0.83066	[1, 4, 1, 3, 2, 2, 2, 2, 2, 2]
idealises	2.0	0.89443	[1, 4, 1, 2, 2, 2, 2, 3, 1, 2]
idealising	0.6	0.4899	[0, 1, 1, 1, 1, 1, 1, 0, 0, 0]
idealism	1.7	1.1	[1, 2, 0, 3, 3, 2, 1, 2, 3, 0]
idealisms	0.8	0.9798	[0, 2, 3, 1, 0, 0, 1, 0, 0, 1]
idealist	1.6	1.56205	[2, 3, -2, 1, 3, 3, 1, 0, 2, 3]
idealistic	1.8	0.9798	[2, 1, 0, 2, 4, 2, 2, 2, 1, 2]
idealistically	1.7	1.1	[0, 3, 3, 1, 2, 3, 0, 2, 1, 2]
idealists	0.7	1.1	[0, -2, 1, 2, 1, 1, 2, 0, 1, 1]
idealities	1.5	0.67082	[2, 1, 1, 2, 1, 0, 2, 2, 2, 2]
ideality	1.9	0.9434	[0, 1, 2, 3, 2, 1, 2, 3, 3, 2]
idealization	1.8	0.9798	[2, 2, 2, 1, 4, 2, 2, 0, 1, 2]
idealizations	1.4	0.66332	[2, 1, 1, 2, 1, 2, 1, 0, 2, 2]
idealize	1.2	0.9798	[1, 2, 2, 0, 0, 1, 3, 0, 2, 1]
idealized	1.8	0.74833	[2, 3, 1, 1, 2, 1, 3, 1, 2, 2]
idealizer	1.3	0.9	[1, 1, 1, 1, 1, 3, 0, 1, 3, 1]
idealizers	1.9	1.37477	[1, 4, 1, 2, 0, 2, 3, 2, 4, 0]
idealizes	2.0	1.0	[3, 2, 2, 1, 4, 2, 2, 0, 2, 2]
idealizing	1.4	1.0198	[1, 1, 2, 3, 0, 1, 3, 0, 2, 1]
idealless	-1.7	1.00499	[-2, -2, -2, -2, -4, -1, 0, -1, -2, -1]
ideally	1.8	1.16619	[1, 0, 2, 2, 3, 2, 4, 0, 2, 2]
idealogues	0.5	0.92195	[1, 0, -1, 2, 0, 0, 2, 0, 1, 0]
idealogy	0.8	1.16619	[0, 3, 1, 0, 2, 0, 0, 1, 2, -1]
ideals	0.8	0.6	[0, 1, 0, 2, 1, 1, 1, 0, 1, 1]
idiot	-2.3	0.64031	[-2, -3, -1, -3, -2, -3, -3, -2, -2, -2]
idiotic	-2.6	0.91652	[-3, -4, -2, -3, -2, -2, -4, -1, -3, -2]
ignorable	-1.0	0.63246	[-1, -1, -1, -2, 0, -1, 0, -1, -2, -1]
ignorami	-1.9	0.83066	[-2, -2, -3, -2, 0, -1, -2, -2, -3, -2]
ignoramus	-1.9	0.83066	[-1, -2, -1, -3, -1, -3, -1, -3, -2, -2]
ignoramuses	-2.3	1.1	[-2, -2, -3, -4, 0, -1, -3, -2, -3, -3]
ignorance	-1.5	1.20416	[-2, -2, -3, -2, 0, -2, -1, -3, -1, 1]
ignorances	-1.2	0.9798	[0, -1, -2, -1, -2, -2, -1, 1, -2, -2]
ignorant	-1.1	0.83066	[-1, -1, -1, -2, 1, -2, -1, -2, -1, -1]
ignorantly	-1.6	0.91652	[-1, -2, -2, -2, -2, -2, -2, 1, -2, -2]
ignorantness	-1.1	1.44568	[3, -1, -2, -1, -1, -2, -2, -2, -1, -2]
ignore	-1.5	0.67082	[-1, -2, -1, -1, -1, -1, -2, -3, -2, -1]
ignored	-1.3	0.45826	[-2, -1, -2, -1, -1, -2, -1, -1, -1, -1]
ignorer	-1.3	0.45826	[-1, -1, -2, -1, -2, -1, -1, -1, -2, -1]
ignorers	-0.7	1.00499	[-1, -2, -1, -1, -1, 1, 0, -2, 1, -1]
ignores	-1.1	0.3	[-1, -1, -2, -1, -1, -1, -1, -1, -1, -1]
ignoring	-1.7	0.64031	[-1, -1, -1, -2, -2, -3, -2, -1, -2, -2]
ill	-1.8	0.9798	[-2, 0, -2, -1, -4, -2, -2, -2, -1, -2]
illegal	-2.6	0.8	[-3, -4, -3, -2, -1, -2, -3, -3, -2, -3]
illiteracy	-1.9	0.7	[-2, -1, -2, -2, -3, -2, -1, -2, -1, -3]
illness	-1.7	0.64031	[-2, -1, -2, -2, -3, -2, -1, -2, -1, -1]
illnesses	-2.2	0.74833	[-2, -2, -2, -4, -2, -3, -2, -1, -2, -2]
imbecile	-2.2	0.9798	[-3, -2, -3, -3, -3, -1, -3, 0, -2, -2]
immobilized	-1.2	0.87178	[-1, -3, 0, -1, -1, 0, -2, -1, -2, -1]
immoral	-2.0	1.09545	[-4, -1, -1, -3, -2, -3, -3, -1, -1, -1]
immoralism	-1.6	0.91652	[-2, -2, -2, -2, 1, -2, -2, -2, -1, -2]
immoralist	-2.1	0.3	[-2, -2, -3, -2, -2, -2, -2, -2, -2, -2]
immoralists	-1.7	0.78102	[-2, -2, -2, -3, -1, -1, -1, -1, -3, -1]
immoralities	-1.1	1.51327	[-2, -1, -4, -3, 1, 1, -1, 0, -1, -1]
immorality	-0.6	2.2891	[3, -3, 1, 2, 2, -2, -4, -1, -2, -2]
immorally	-2.1	0.7	[-1, -1, -2, -2, -3, -2, -3, -2, -2, -3]
immortal	1.0	1.73205	[3, 3, 2, 2, -2, -2, 2, 1, 1, 0]
immune	1.2	0.74833	[2, 2, 0, 1, 2, 1, 2, 1, 1, 0]
impatience	-1.8	0.4	[-2, -2, -1, -2, -2, -2, -2, -1, -2, -2]
impatiens	-0.2	0.6	[0, 0, -1, 0, 0, 0, 1, -1, -1, 0]
impatient	-1.2	0.4	[-1, -1, -1, -1, -1, -1, -2, -1, -1, -2]
impatiently	-1.7	0.64031	[-1, -1, -2, -3, -1, -2, -1, -2, -2, -2]
imperfect	-1.3	0.64031	[-1, -1, -1, -1, -1, -2, -3, -1, -1, -1]
impersonal	-1.3	0.45826	[-2, -2, -1, -1, -2, -1, -1, -1, -1, -1]
impolite	-1.6	0.66332	[-2, -1, -3, -1, -1, -1, -1, -2, -2, -2]
impolitely	-1.8	0.6	[-2, -2, -1, -1, -2, -1, -2, -2, -3, -2]
impoliteness	-1.8	0.87178	[-1, -3, -2, -3, -2, -3, -1, -1, -1, -1]
impolitenesses	-2.3	0.78102	[-3, -2, -2, -1, -1, -3, -3, -2, -3, -3]
importance	1.5	0.80623	[2, 1, 2, 3, 1, 2, 1, 0, 2, 1]
importancies	0.4	1.42829	[0, 0, 1, 2, 0, 0, 2, 2, 0, -3]
importancy	1.4	0.66332	[2, 1, 2, 2, 1, 2, 1, 0, 2, 1]
important	0.8	1.07703	[0, 0, 0, 2, 1, 0, 0, 3, 2, 0]
importantly	1.3	0.78102	[2, 1, 2, 1, 2, 2, 0, 0, 1, 2]
impose	-1.2	0.4	[-1, -1, -1, -1, -2, -1, -2, -1, -1, -1]
imposed	-0.3	1.41774	[2, -1, -1, -1, 1, 0, -2, 2, -2, -1]
imposes	-0.4	1.42829	[-2, -1, 1, -2, -1, -1, -2, 1, 2, 1]
imposing	-0.4	1.0198	[1, -1, -2, -1, 1, 1, 0, -1, -1, -1]
impotent	-1.1	0.3	[-1, -1, -1, -2, -1, -1, -1, -1, -1, -1]
impress	1.9	0.53852	[2, 2, 1, 2, 2, 2, 2, 1, 2, 3]
impressed	2.1	0.3	[2, 2, 2, 2, 2, 2, 3, 2, 2, 2]
impresses	2.1	0.3	[2, 2, 2, 2, 2, 2, 3, 2, 2, 2]
impressibility	1.2	1.249	[-1, 2, 0, 2, 0, 2, 2, 3, 2, 0]
impressible	0.8	1.16619	[2, -1, 1, 0, -1, 2, 1, 0, 2, 2]
impressing	2.5	0.92195	[3, 4, 1, 2, 3, 2, 3, 1, 3, 3]
impression	0.9	0.9434	[0, 1, 0, 0, 2, 2, 0, 2, 0, 2]
impressionable	0.2	1.07703	[0, 0, -1, 1, -1, -1, 0, 2, 0, 2]
impressionism	0.8	1.07703	[0, 2, 3, 0, 0, 2, 0, 0, 1, 0]
impressionisms	0.5	0.80623	[0, 0, 0, 0, 0, 2, 0, 1, 0, 2]
impressionist	1.0	1.09545	[0, 2, 3, 0, 0, 2, 2, 0, 1, 0]
impressionistic	1.5	1.20416	[2, 2, 0, 0, 1, 0, 2, 2, 4, 2]
impressionistically	1.6	0.8	[2, 0, 1, 1, 2, 2, 3, 2, 2, 1]
impressionists	0.5	1.43178	[2, 0, 0, 1, 1, 2, -2, 2, 1, -2]
impressions	0.9	1.13578	[2, 0, 0, 3, 0, 2, 0, 2, 0, 0]
impressive	2.3	0.78102	[1, 2, 3, 2, 3, 2, 3, 3, 3, 1]
impressively	2.0	0.89443	[3, 1, 1, 2, 2, 2, 2, 4, 2, 1]
impressiveness	1.7	0.64031	[2, 1, 2, 3, 1, 2, 2, 2, 1, 1]
impressment	-0.4	1.85472	[-2, 1, 3, -2, -1, -3, 0, 0, 2, -2]
impressments	0.5	1.20416	[2, 0, 0, 1, 2, 2, 0, -2, 0, 0]
impressure	0.6	1.0198	[-1, 0, 0, 0, 0, 2, 0, 2, 1, 2]
imprisoned	-2.0	1.0	[-4, -2, -3, -1, -3, -2, -1, -2, -1, -1]
improve	1.9	0.7	[2, 3, 3, 2, 1, 1, 2, 2, 1, 2]
improved	2.1	0.7	[3, 1, 2, 3, 2, 3, 1, 2, 2, 2]
improvement	2.0	0.63246	[2, 3, 3, 2, 1, 1, 2, 2, 2, 2]
improvements	1.3	0.64031	[0, 2, 2, 1, 2, 2, 1, 1, 1, 1]
improver	1.8	0.6	[2, 1, 2, 1, 2, 3, 1, 2, 2, 2]
improvers	1.3	0.78102	[1, 2, 2, 1, 2, 2, 0, 0, 1, 2]
improves	1.8	1.07703	[3, -1, 2, 2, 2, 3, 1, 2, 2, 2]
improving	1.8	0.4	[2, 2, 1, 1, 2, 2, 2, 2, 2, 2]
inability	-1.7	0.9	[-2, -2, -3, 0, -2, -3, -2, -1, -1, -1]
inaction	-1.0	0.63246	[-2, -1, 0, -1, -1, 0, -1, -2, -1, -1]
inadequacies	-1.7	0.64031	[-1, -3, -2, -1, -2, -1, -2, -2, -1, -2]
inadequacy	-1.7	0.78102	[-1, -3, -1, -1, -3, -2, -2, -1, -2, -1]
inadequate	-1.7	0.64031	[-2, -1, -1, -3, -1, -1, -2, -2, -2, -2]
inadequately	-1.0	1.26491	[-3, -1, -1, -2, 2, -1, -2, -1, 0, -1]
inadequateness	-1.7	0.45826	[-2, -2, -1, -1, -1, -2, -2, -2, -2, -2]
inadequatenesses	-1.6	0.91652	[-1, -1, -2, -1, -2, -4, -2, -1, -1, -1]
incapable	-1.6	0.4899	[-1, -2, -1, -1, -2, -1, -2, -2, -2, -2]
incapacitated	-1.9	0.9434	[-2, -2, -1, -1, -2, -4, -1, -1, -2, -3]
incensed	-2.0	1.0	[-2, -1, -4, 0, -2, -2, -2, -3, -2, -2]
incentive	1.5	1.0247	[1, 2, 1, 2, 1, 0, 4, 2, 1, 1]
incentives	1.3	1.34536	[2, 2, 1, 1, 3, 1, -2, 3, 1, 1]
incompetence	-2.3	0.45826	[-3, -2, -2, -3, -2, -3, -2, -2, -2, -2]
incompetent	-2.1	0.83066	[-1, -1, -2, -2, -3, -3, -2, -3, -1, -3]
inconsiderate	-1.9	0.7	[-2, -1, -1, -1, -2, -2, -2, -3, -3, -2]
inconvenience	-1.5	0.5	[-1, -2, -1, -1, -1, -2, -2, -1, -2, -2]
inconvenient	-1.4	0.4899	[-2, -2, -1, -2, -1, -2, -1, -1, -1, -1]
increase	1.3	0.64031	[1, 2, 2, 1, 2, 0, 1, 1, 2, 1]
increased	1.1	1.04403	[2, 0, 3, 2, 2, 1, 0, 1, 0, 0]
indecision	-0.8	0.6	[-1, 0, -1, 0, -1, -1, -2, 0, -1, -1]
indecisions	-1.1	0.53852	[-1, -1, -1, -1, -2, -1, -2, -1, 0, -1]
indecisive	-1.0	0.44721	[0, -1, -1, -1, -1, -2, -1, -1, -1, -1]
indecisively	-0.7	1.18743	[-2, -1, -1, -1, -1, -1, -2, 2, 1, -1]
indecisiveness	-1.3	0.64031	[-1, -3, -1, -2, -1, -1, -1, -1, -1, -1]
indecisivenesses	-0.9	0.53852	[-1, -1, 0, -1, -1, 0, -1, -2, -1, -1]
indestructible	0.6	1.85472	[3, 4, -1, -2, 1, 1, 2, 0, -1, -1]
indifference	-0.2	0.74833	[0, -1, 0, 0, 0, 1, -2, 0, 0, 0]
indifferent	-0.8	0.6	[-1, 0, 0, -1, -2, -1, -1, 0, -1, -1]
indignant	-1.8	0.74833	[-1, -3, -2, -2, -2, -1, -1, -1, -3, -2]
indignation	-2.4	0.8	[-2, -1, -2, -3, -3, -3, -1, -3, -3, -3]
indoctrinate	-1.4	0.91652	[-1, -3, -1, 0, -2, -1, -2, -2, 0, -2]
indoctrinated	-0.4	1.35647	[1, -2, -3, 1, -1, 1, 1, -1, -1, 0]
indoctrinates	-0.6	1.2	[1, -1, -3, 1, -1, 1, -1, -1, -1, -1]
indoctrinating	-0.7	1.41774	[-1, 0, -3, -1, -2, -1, 2, -2, 0, 1]
ineffective	-0.5	1.74642	[-2, -1, -1, -1, -2, 2, -2, 1, 3, -2]
ineffectively	-1.3	0.9	[-2, -2, -2, 1, -1, -1, -1, -2, -1, -2]
ineffectiveness	-1.3	0.45826	[-1, -1, -2, -1, -1, -2, -1, -1, -2, -1]
ineffectual	-1.2	0.4	[-1, -1, -1, -1, -1, -1, -1, -2, -2, -1]
ineffectuality	-1.6	0.66332	[-2, -1, -1, -1, -2, -1, -3, -2, -2, -1]
ineffectually	-1.1	0.9434	[-1, -2, -2, -1, 0, -1, -2, -1, 1, -2]
ineffectualness	-1.3	0.45826	[-2, -1, -1, -1, -1, -2, -1, -1, -2, -1]
infatuated	0.2	1.72047	[3, 2, 0, 3, -1, -1, -2, 0, -1, -1]
infatuation	0.6	1.74356	[1, -1, -1, 2, -1, 1, 4, 2, 1, -2]
infected	-2.2	0.6	[-3, -2, -2, -2, -2, -2, -3, -1, -2, -3]
inferior	-1.7	0.78102	[-1, -2, -2, -1, -1, -3, -2, -1, -1, -3]
inferiorities	-1.9	0.7	[-2, -3, -1, -2, -2, -3, -1, -1, -2, -2]
inferiority	-1.1	1.7	[-2, -3, -2, -2, -2, -3, 2, 1, -1, 1]
inferiorly	-2.0	0.63246	[-3, -2, -2, -2, -2, -3, -1, -2, -1, -2]
inferiors	-0.5	1.43178	[-1, -1, -1, -2, -1, 0, 3, -1, 1, -2]
inflamed	-1.4	1.28062	[-2, -2, -1, -2, -2, -1, 2, -3, -2, -1]
influential	1.9	1.04403	[3, 1, 2, 3, 4, 1, 1, 2, 1, 1]
infringement	-2.1	0.83066	[-3, -1, -2, -1, -2, -1, -3, -3, -2, -3]
infuriate	-2.2	0.87178	[-2, -1, -3, -3, -2, -3, -3, -1, -1, -3]
infuriated	-3.0	0.7746	[-1, -4, -3, -3, -3, -3, -3, -3, -3, -4]
infuriates	-2.6	0.8	[-4, -2, -1, -3, -3, -3, -2, -3, -3, -2]
infuriating	-2.4	1.42829	[-1, -3, -3, -3, -3, -4, 0, 0, -4, -3]
inhibin	-0.2	0.4	[-1, 0, 0, 0, 0, 0, 0, 0, -1, 0]
inhibit	-1.6	0.4899	[-1, -2, -1, -2, -1, -2, -2, -2, -1, -2]
inhibited	-0.4	0.4899	[0, 0, -1, 0, -1, -1, 0, -1, 0, 0]
inhibiting	-0.4	1.42829	[1, -1, -1, -1, -2, -1, 2, -2, 2, -1]
inhibition	-1.5	0.67082	[-1, -1, -1, -1, -2, -1, -1, -2, -2, -3]
inhibitions	-0.8	0.74833	[-2, -1, -2, 0, 0, 0, 0, -1, -1, -1]
inhibitive	-1.4	0.4899	[-2, -2, -1, -1, -2, -1, -2, -1, -1, -1]
inhibitor	-0.3	1.00499	[-2, 1, 1, -1, 1, 0, -1, -1, 0, -1]
inhibitors	-1.0	0.7746	[-1, 0, -2, -1, -2, -2, 0, 0, -1, -1]
inhibitory	-1.0	0.7746	[0, -1, -2, -2, -1, -2, 0, 0, -1, -1]
inhibits	-0.9	0.53852	[-1, -1, -2, -1, -1, 0, -1, -1, -1, 0]
injured	-1.7	0.64031	[-2, -1, -1, -1, -2, -1, -2, -2, -3, -2]
injury	-1.8	0.6	[-2, -2, -1, -2, -1, -1, -2, -3, -2, -2]
injustice	-2.7	0.64031	[-3, -2, -3, -4, -3, -3, -2, -2, -3, -2]
innocence	1.6	0.91652	[3, 1, 1, 1, 2, 2, 0, 3, 2, 1]
innocency	1.9	0.83066	[3, 1, 2, 0, 2, 2, 2, 3, 2, 2]
innocent	1.4	1.2	[1, -1, 2, 2, 2, 0, 1, 3, 3, 1]
innocenter	0.9	1.37477	[1, 1, 1, 2, 2, 1, 1, -3, 1, 2]
innocently	1.4	0.8	[0, 2, 1, 1, 1, 1, 3, 2, 2, 1]
innocents	1.1	1.04403	[0, 0, 2, 2, 2, -1, 1, 1, 2, 2]
innovate	2.2	0.74833	[2, 4, 3, 2, 2, 1, 2, 2, 2, 2]
innovates	2.0	0.89443	[2, 2, 2, 0, 1, 3, 3, 2, 3, 2]
innovation	1.6	0.91652	[1, 0, 3, 2, 1, 2, 3, 2, 1, 1]
innovative	1.9	0.83066	[1, 1, 2, 1, 2, 4, 2, 2, 2, 2]
inquisition	-1.2	1.249	[-2, 1, -1, 0, 0, -3, -1, -3, -2, -1]
inquisitive	0.7	1.18743	[2, 1, 1, 2, -2, -1, 1, 1, 1, 1]
insane	-1.7	0.78102	[-2, 0, -2, -1, -2, -3, -2, -2, -1, -2]
insanity	-2.7	1.00499	[-2, -4, -1, -1, -3, -4, -3, -3, -3, -3]
insecure	-1.8	0.74833	[-1, -2, -2, -1, -3, -2, -3, -2, -1, -1]
insecurely	-1.4	0.66332	[-3, -1, -1, -1, -2, -1, -2, -1, -1, -1]
insecureness	-1.8	0.87178	[-1, -1, -1, -3, -3, -3, -2, -2, -1, -1]
insecurities	-1.8	0.6	[-3, -2, -2, -2, -1, -2, -1, -1, -2, -2]
insecurity	-1.8	0.74833	[-2, -2, -2, -1, -3, -3, -2, -1, -1, -1]
insensitive	-0.9	1.81384	[2, -3, -2, -1, 2, -3, -2, 1, -1, -2]
insensitivity	-1.8	0.6	[-2, -2, -1, -3, -2, -2, -1, -2, -1, -2]
insignificant	-1.4	0.8	[-3, -2, -1, -2, -1, -2, 0, -1, -1, -1]
insincere	-1.8	0.6	[-2, -1, -2, -1, -2, -2, -2, -2, -1, -3]
insincerely	-1.9	0.7	[-2, -1, -2, -2, -1, -3, -2, -3, -1, -2]
insincerity	-1.4	1.35647	[-1, -1, -3, -2, -1, 2, -2, -1, -2, -3]
insipid	-2.0	0.7746	[-1, -2, -2, -1, -3, -3, -3, -2, -2, -1]
inspiration	2.4	0.8	[3, 3, 3, 3, 1, 3, 1, 3, 2, 2]
inspirational	2.3	0.64031	[2, 3, 2, 3, 2, 3, 2, 3, 1, 2]
inspirationally	2.3	0.64031	[3, 2, 2, 3, 3, 1, 2, 2, 3, 2]
inspirations	2.1	0.53852	[2, 2, 2, 2, 1, 2, 2, 3, 3, 2]
inspirator	1.9	1.22066	[2, 2, 3, 0, 3, 4, 0, 2, 1, 2]
inspirators	1.2	0.74833	[3, 1, 1, 2, 1, 1, 1, 1, 0, 1]
inspiratory	1.5	0.67082	[2, 2, 3, 1, 1, 1, 1, 1, 2, 1]
inspire	2.7	0.78102	[2, 3, 3, 3, 3, 3, 3, 1, 4, 2]
inspired	2.2	0.87178	[3, 2, 1, 3, 1, 1, 3, 2, 3, 3]
inspirer	2.2	1.07703	[3, 2, 2, 4, 0, 2, 3, 1, 3, 2]
inspirers	2.0	0.63246	[2, 2, 3, 2, 3, 2, 1, 2, 1, 2]
inspires	1.9	1.04403	[2, 2, 2, 4, 0, 2, 3, 1, 1, 2]
inspiring	1.8	1.07703	[2, 2, 2, -1, 2, 3, 2, 2, 1, 3]
inspiringly	2.6	0.4899	[2, 3, 3, 2, 3, 3, 2, 3, 2, 3]
inspirit	1.9	0.7	[1, 3, 2, 1, 2, 1, 3, 2, 2, 2]
inspirited	1.3	1.18743	[2, 2, 0, 0, 3, 0, 2, 0, 3, 1]
inspiriting	1.8	0.4	[1, 2, 1, 2, 2, 2, 2, 2, 2, 2]
inspiritingly	2.1	1.44568	[3, 2, 2, 2, 4, 1, -1, 3, 4, 1]
inspirits	0.8	1.46969	[3, 0, 3, -2, 0, 1, 1, 0, 2, 0]
insult	-2.3	1.00499	[-2, -1, -2, -3, -4, -1, -3, -1, -3, -3]
insulted	-2.3	0.45826	[-2, -2, -2, -2, -3, -2, -2, -2, -3, -3]
insulter	-2.0	0.63246	[-2, -1, -2, -2, -1, -3, -3, -2, -2, -2]
insulters	-2.0	0.44721	[-2, -3, -2, -2, -2, -2, -2, -1, -2, -2]
insulting	-2.2	0.74833	[-3, -2, -3, -3, -2, -3, -1, -2, -2, -1]
insultingly	-2.3	0.78102	[-3, -3, -1, -2, -2, -3, -2, -1, -3, -3]
insults	-1.8	0.6	[-2, -3, -2, -2, -1, -1, -1, -2, -2, -2]
intact	0.8	0.6	[1, 1, 0, 0, 1, 1, 0, 1, 1, 2]
integrity	1.6	0.66332	[2, 1, 1, 1, 2, 1, 3, 1, 2, 2]
intellect	2.0	1.09545	[2, 1, 4, 2, 1, 3, 2, 3, 0, 2]
intellection	0.6	1.0198	[0, 0, 0, 1, 0, 0, 0, 0, 2, 3]
intellections	0.8	0.87178	[1, 0, 1, 0, 1, 1, 1, 0, 0, 3]
intellective	1.7	0.78102	[3, 2, 1, 2, 2, 1, 0, 2, 2, 2]
intellectively	0.8	0.9798	[0, 0, 1, 1, 0, 3, 0, 1, 2, 0]
intellects	1.8	0.87178	[1, 0, 2, 1, 3, 2, 2, 2, 3, 2]
intellectual	2.3	0.9	[3, 3, 1, 2, 3, 4, 2, 2, 1, 2]
intellectualism	2.2	1.07703	[4, 0, 3, 1, 3, 2, 2, 3, 2, 2]
intellectualist	2.0	1.0	[4, 0, 2, 1, 3, 2, 2, 2, 2, 2]
intellectualistic	1.3	1.73494	[1, 4, 0, 3, -2, 0, 2, 3, 0, 2]
intellectualists	0.8	0.74833	[0, 1, 1, 1, 0, 2, 0, 1, 2, 0]
intellectualities	1.7	1.34536	[3, 3, 0, 2, 1, 0, 0, 4, 2, 2]
intellectuality	1.7	1.1	[3, 2, 2, 1, 2, 1, 0, 3, 0, 3]
intellectualization	1.5	1.11803	[2, 1, 2, 1, 4, 2, 0, 0, 2, 1]
intellectualize	1.5	0.92195	[1, 2, 1, 1, 3, 2, 3, 0, 1, 1]
intellectualized	1.2	0.74833	[1, 0, 1, 1, 2, 0, 1, 2, 2, 2]
intellectualizes	1.8	0.87178	[2, 3, 2, 0, 2, 3, 2, 2, 1, 1]
intellectualizing	0.8	1.77764	[0, 1, 2, 1, 0, 2, 2, -4, 2, 2]
intellectually	1.4	0.8	[2, 0, 0, 1, 2, 2, 2, 2, 2, 1]
intellectualness	1.5	0.80623	[2, 2, 2, 2, 0, 0, 1, 2, 2, 2]
intellectuals	1.6	0.8	[0, 1, 2, 1, 3, 2, 1, 2, 2, 2]
intelligence	2.1	0.9434	[3, 2, 2, 1, 3, 3, 3, 2, 2, 0]
intelligencer	1.5	0.80623	[2, 0, 0, 2, 2, 2, 2, 1, 2, 2]
intelligencers	1.6	0.91652	[2, 2, 0, 2, 2, 0, 3, 2, 2, 1]
intelligences	1.6	0.91652	[3, 0, 0, 2, 2, 2, 2, 1, 2, 2]
intelligent	2.0	0.7746	[1, 2, 2, 1, 4, 2, 2, 2, 2, 2]
intelligential	1.9	0.9434	[3, 2, 2, 1, 3, 2, 2, 3, 0, 1]
intelligently	2.0	0.63246	[2, 3, 2, 3, 1, 2, 2, 1, 2, 2]
intelligentsia	1.5	1.20416	[0, 1, 2, 0, 4, 3, 2, 1, 1, 1]
intelligibility	1.5	0.80623	[2, 2, 0, 2, 2, 1, 2, 0, 2, 2]
intelligible	1.4	0.8	[1, 2, 2, 1, 0, 2, 1, 1, 3, 1]
intelligibleness	1.5	1.20416	[2, 1, 3, -1, 2, 2, 2, 0, 1, 3]
intelligibly	1.2	0.87178	[1, 2, 1, 2, 1, -1, 2, 2, 1, 1]
intense	0.3	0.45826	[0, 1, 1, 0, 0, 0, 0, 0, 1, 0]
interest	2.0	1.18322	[2, 3, 3, 1, 1, 3, 4, 1, 2, 0]
interested	1.7	0.45826	[2, 1, 2, 2, 1, 2, 2, 2, 1, 2]
interestedly	1.5	0.67082	[2, 2, 2, 1, 2, 1, 2, 1, 0, 2]
interesting	1.7	0.78102	[1, 2, 1, 3, 1, 1, 1, 3, 2, 2]
interestingly	1.7	0.45826	[2, 2, 2, 1, 2, 1, 1, 2, 2, 2]
interestingness	1.8	0.87178	[2, 3, 1, 3, 1, 3, 2, 1, 1, 1]
interests	1.0	0.89443	[1, 0, 1, 2, 0, 0, 1, 1, 1, 3]
interrogated	-1.6	1.0198	[-3, -1, -1, -1, -2, -1, -3, -1, -3, 0]
interrupt	-1.4	0.4899	[-2, -1, -1, -1, -2, -2, -1, -1, -2, -1]
interrupted	-1.2	0.6	[-1, -2, -1, 0, -1, -1, -2, -1, -2, -1]
interrupter	-1.1	0.53852	[-1, -2, -1, 0, -1, -1, -1, -1, -2, -1]
interrupters	-1.3	0.45826	[-1, -2, -1, -1, -1, -1, -2, -1, -2, -1]
interruptible	-1.3	1.00499	[-2, -1, 0, -2, 0, -3, -2, -1, 0, -2]
interrupting	-1.2	0.4	[-2, -1, -1, -1, -1, -2, -1, -1, -1, -1]
interruption	-1.5	0.67082	[-1, -1, -2, -3, -2, -1, -1, -1, -2, -1]
interruptions	-1.7	0.45826	[-2, -2, -2, -2, -2, -1, -1, -1, -2, -2]
interruptive	-1.4	0.66332	[-2, -2, -1, -2, -2, 0, -1, -1, -1, -2]
interruptor	-1.3	0.64031	[-2, -1, -1, -1, 0, -2, -2, -2, -1, -1]
interrupts	-1.3	0.64031	[-1, -1, -2, -1, -1, -1, -1, -1, -3, -1]
intimidate	-0.8	1.46969	[-1, -2, -2, -2, -2, -1, 2, 1, 1, -2]
intimidated	-1.9	0.7	[-2, -1, -3, -3, -1, -2, -2, -1, -2, -2]
intimidates	-1.3	0.78102	[-2, -1, -1, -1, -3, -2, -1, -1, -1, 0]
intimidating	-1.9	1.04403	[0, -2, -1, -3, -2, -1, -1, -3, -3, -3]
intimidatingly	-1.1	1.64012	[2, -2, -3, -1, -2, -2, 2, -2, -1, -2]
intimidation	-1.8	1.249	[1, -2, -3, -1, -2, -3, -1, -3, -1, -3]
intimidations	-1.4	1.49666	[1, -2, -2, -2, -1, -1, -1, -4, 1, -3]
intimidator	-1.6	0.4899	[-1, -1, -2, -2, -1, -2, -2, -1, -2, -2]
intimidators	-1.6	0.8	[-1, -1, -3, -2, -1, -1, -3, -1, -2, -1]
intimidatory	-1.1	1.22066	[-1, -2, -3, -1, -1, -1, -2, 2, -1, -1]
intricate	0.6	0.66332	[1, 0, 2, 1, 0, 1, 1, 0, 0, 0]
intrigues	0.9	0.9434	[2, -1, 2, 1, 2, 0, 1, 1, 0, 1]
invigorate	1.9	0.83066	[2, 2, 2, 0, 2, 3, 3, 2, 1, 2]
invigorated	0.8	1.8868	[-2, 3, 2, 2, -2, -2, 2, 2, 1, 2]
invigorates	2.1	0.53852	[3, 2, 3, 2, 1, 2, 2, 2, 2, 2]
invigorating	2.1	0.7	[2, 1, 1, 3, 3, 3, 2, 2, 2, 2]
invigoratingly	2.0	0.63246	[2, 2, 1, 2, 1, 3, 2, 2, 2, 3]
invigoration	1.5	1.36015	[2, 2, 1, -2, 1, 3, 3, 2, 1, 2]
invigorations	1.2	0.87178	[1, -1, 2, 2, 1, 1, 2, 1, 2, 1]
invigorator	1.1	1.3	[3, 1, 0, 2, 2, -2, 1, 1, 2, 1]
invigorators	1.2	0.87178	[1, 1, 1, 1, 3, 2, 0, 0, 1, 2]
invincible	2.2	1.77764	[4, 1, 3, 2, 4, 1, 4, -1, 0, 4]
invite	0.6	0.66332	[2, 1, 1, 0, 0, 0, 0, 1, 1, 0]
inviting	1.3	0.45826	[1, 1, 1, 2, 1, 2, 2, 1, 1, 1]
invulnerable	1.3	1.73494	[2, 3, 4, 2, 0, 3, 0, 1, -2, 0]
irate	-2.9	0.53852	[-3, -3, -3, -2, -3, -4, -3, -3, -2, -3]
ironic	-0.5	1.28452	[1, 0, 0, 0, 0, 0, -4, -1, -1, 0]
irony	-0.2	1.07703	[-1, 0, -3, 0, 0, 0, 1, 0, 1, 0]
irrational	-1.4	0.4899	[-1, -1, -1, -2, -2, -2, -1, -1, -2, -1]
irrationalism	-1.5	0.5	[-1, -2, -1, -1, -2, -1, -2, -2, -1, -2]
irrationalist	-2.1	0.9434	[-1, -4, -2, -2, -3, -3, -2, -1, -1, -2]
irrationalists	-1.5	0.92195	[-2, -2, -1, -2, -2, 1, -1, -2, -2, -2]
irrationalities	-1.5	0.80623	[-2, -2, 0, -1, -1, -1, -2, -3, -1, -2]
irrationality	-1.7	0.9	[-3, -3, -1, -2, -1, -1, -1, -1, -3, -1]
irrationally	-1.6	0.4899	[-1, -2, -1, -2, -1, -2, -2, -2, -1, -2]
irrationals	-1.1	0.83066	[-2, 0, -1, 0, -1, -1, -3, -1, -1, -1]
irresistible	1.4	2.2	[2, 3, 2, 3, 4, 4, 1, -1, -2, -2]
irresolute	-1.4	0.66332	[-2, -2, -1, -2, -1, -1, -1, -2, -2, 0]
irresponsible	-1.9	0.3	[-2, -2, -2, -2, -2, -2, -1, -2, -2, -2]
irreversible	-0.8	0.87178	[-2, -2, 0, -1, 0, 0, 0, -1, -2, 0]
irritabilities	-1.7	0.64031	[-2, -2, -2, -1, -1, -1, -1, -2, -3, -2]
irritability	-1.4	1.28062	[-2, -1, -2, -1, 2, -2, -2, -2, -1, -3]
irritable	-2.1	0.7	[-2, -2, -3, -1, -2, -1, -3, -2, -3, -2]
irritableness	-1.7	0.64031	[-2, -2, -2, -1, -2, -1, -1, -3, -1, -2]
irritably	-1.8	0.6	[-2, -2, -1, -1, -3, -2, -1, -2, -2, -2]
irritant	-2.3	0.78102	[-3, -3, -3, -3, -3, -1, -2, -2, -2, -1]
irritants	-2.1	0.83066	[-2, -3, -1, -4, -2, -1, -2, -2, -2, -2]
irritate	-1.8	0.6	[-3, -2, -2, -2, -1, -2, -1, -2, -1, -2]
irritated	-2.0	0.63246	[-1, -2, -2, -2, -3, -2, -2, -3, -1, -2]
irritates	-1.7	0.78102	[-1, -2, -1, -1, -3, -2, -2, -3, -1, -1]
irritating	-2.0	0.63246	[-2, -2, -2, -1, -1, -3, -2, -2, -3, -2]
irritatingly	-2.0	0.44721	[-2, -2, -2, -3, -1, -2, -2, -2, -2, -2]
irritation	-2.3	0.78102	[-3, -2, -2, -2, -1, -3, -3, -1, -3, -3]
irritations	-1.5	0.67082	[-2, -2, -1, -1, -1, -1, -1, -2, -3, -1]
irritative	-2.0	0.63246	[-3, -2, -3, -2, -1, -2, -2, -2, -1, -2]
isolatable	0.2	1.249	[1, 0, -2, 0, -1, -1, 2, 0, 2, 1]
isolate	-0.8	0.74833	[-1, -1, -1, 0, 0, 0, 0, -2, -1, -2]
isolated	-1.3	0.64031	[-1, -1, -1, -1, -1, -1, -2, -1, -3, -1]
isolates	-1.3	0.64031	[-1, -1, -1, -1, -2, -1, -3, -1, -1, -1]
isolation	-1.7	0.78102	[-1, -3, -1, -2, -2, -1, -3, -1, -2, -1]
isolationism	0.4	1.62481	[2, 0, -1, -2, -1, 3, 0, 2, -1, 2]
isolationist	0.7	1.55242	[2, 0, 0, -1, -1, 3, 0, 2, -1, 3]
isolations	-0.5	1.11803	[-1, -2, -2, -1, 1, 1, -1, 0, 1, -1]
isolator	-0.4	0.66332	[0, 0, -1, 0, -1, 0, -2, 0, 0, 0]
isolators	-0.4	1.42829	[-2, -1, -1, -2, 2, 2, -1, 1, -1, -1]
itchy	-1.1	0.53852	[-1, -1, -1, -1, -2, 0, -1, -1, -2, -1]
jackass	-1.8	1.07703	[-1, 0, -3, -2, -2, -3, 0, -2, -2, -3]
jackasses	-2.8	0.9798	[-2, -2, -4, -3, -4, -4, -3, -1, -2, -3]
jaded	-1.6	0.66332	[-1, -1, -1, -2, -2, -1, -2, -2, -1, -3]
jailed	-2.2	0.87178	[-4, -3, -2, -2, -1, -2, -2, -3, -1, -2]
jaunty	1.2	0.6	[2, 1, 0, 2, 1, 1, 1, 2, 1, 1]
jealous	-2.0	0.63246	[-2, -2, -3, -2, -3, -2, -1, -1, -2, -2]
jealousies	-2.0	0.63246	[-2, -3, -2, -1, -2, -3, -2, -1, -2, -2]
jealously	-2.0	0.89443	[-1, -3, -1, -4, -2, -2, -1, -2, -2, -2]
jealousness	-1.7	0.45826	[-1, -2, -2, -2, -2, -1, -1, -2, -2, -2]
jealousy	-1.3	1.73494	[-2, -3, -2, -2, -2, 2, -3, -1, 2, -2]
jeopardy	-2.1	0.9434	[-3, -3, -3, -1, -1, -3, -2, -1, -1, -3]
jerk	-1.4	0.8	[-1, -1, -1, -2, -3, 0, -2, -1, -1, -2]
jerked	-0.8	0.74833	[0, -1, -1, 0, -2, -1, 0, -1, 0, -2]
jerks	-1.1	1.51327	[-2, -2, -1, -2, -1, 0, -2, 3, -2, -2]
jewel	1.5	1.20416	[1, 3, 2, 0, 2, 1, 3, 0, 3, 0]
jewels	2.0	1.34164	[3, 1, 0, 0, 4, 3, 3, 2, 3, 1]
jocular	1.2	1.249	[0, 1, 2, -2, 1, 2, 2, 2, 2, 2]
join	1.2	0.74833	[2, 2, 1, 2, 1, 0, 1, 2, 0, 1]
joke	1.2	0.74833	[1, 1, 1, 1, 1, 1, 0, 2, 1, 3]
joked	1.3	0.64031	[1, 1, 2, 2, 0, 2, 1, 1, 2, 1]
joker	0.5	0.92195	[1, 1, -1, 1, 2, -1, 1, 1, 0, 0]
jokes	1.0	0.7746	[1, 1, -1, 1, 1, 2, 1, 1, 2, 1]
jokester	1.5	0.67082	[2, 2, 2, 2, 1, 1, 0, 1, 2, 2]
jokesters	0.9	0.83066	[0, 0, 2, 1, 1, 2, 2, 0, 1, 0]
jokey	1.1	0.3	[1, 1, 2, 1, 1, 1, 1, 1, 1, 1]
joking	0.9	0.53852	[1, 2, 1, 1, 1, 0, 1, 1, 0, 1]
jollied	2.4	0.66332	[3, 3, 2, 2, 3, 3, 2, 2, 1, 3]
jollier	2.4	0.4899	[2, 2, 3, 3, 2, 2, 2, 3, 2, 3]
jollies	2.0	0.63246	[1, 2, 3, 2, 2, 2, 1, 2, 2, 3]
jolliest	2.9	0.7	[3, 3, 2, 4, 3, 2, 3, 4, 2, 3]
jollification	2.2	0.74833	[2, 3, 3, 1, 2, 1, 3, 2, 3, 2]
jollifications	2.0	0.7746	[2, 3, 2, 2, 2, 2, 3, 2, 0, 2]
jollify	2.1	0.53852	[2, 3, 2, 2, 2, 2, 2, 3, 1, 2]
jollily	2.7	0.64031	[3, 3, 3, 3, 3, 3, 3, 1, 3, 2]
jolliness	2.5	0.67082	[3, 1, 2, 3, 2, 3, 3, 3, 2, 3]
jollities	1.7	0.64031	[2, 1, 2, 2, 1, 2, 2, 3, 1, 1]
jollity	1.8	1.6	[3, 2, 1, 1, 4, 3, 1, 2, 3, -2]
jolly	2.3	1.00499	[4, 3, 3, 1, 1, 1, 3, 2, 3, 2]
jollying	2.3	0.64031	[2, 3, 3, 1, 3, 3, 2, 2, 2, 2]
jovial	1.9	0.53852	[2, 2, 1, 2, 1, 2, 3, 2, 2, 2]
joy	2.8	0.74833	[3, 2, 3, 4, 3, 3, 3, 1, 3, 3]
joyance	2.3	0.9	[1, 3, 4, 2, 2, 1, 2, 3, 2, 3]
joyed	2.9	0.3	[3, 3, 3, 3, 3, 3, 3, 2, 3, 3]
joyful	2.9	0.53852	[3, 2, 3, 3, 2, 3, 4, 3, 3, 3]
joyfuller	2.4	0.66332	[2, 4, 3, 2, 2, 2, 3, 2, 2, 2]
joyfully	2.5	0.67082	[2, 2, 3, 3, 2, 2, 3, 4, 2, 2]
joyfulness	2.7	1.00499	[4, 3, 1, 3, 3, 3, 4, 2, 1, 3]
joying	2.5	0.67082	[2, 2, 1, 3, 3, 3, 3, 3, 3, 2]
joyless	-2.5	0.67082	[-1, -2, -3, -3, -3, -3, -2, -2, -3, -3]
joylessly	-1.7	1.1	[-2, -2, -3, -3, -2, -1, 1, -2, -1, -2]
joylessness	-2.7	0.9	[-4, -3, -3, -3, -3, -3, -3, -1, -1, -3]
joyous	3.1	0.7	[3, 4, 3, 2, 4, 3, 3, 4, 2, 3]
joyously	2.9	0.7	[2, 3, 4, 3, 4, 2, 2, 3, 3, 3]
joyousness	2.8	0.74833	[3, 3, 1, 3, 3, 3, 4, 2, 3, 3]
joypop	-0.2	1.93907	[-3, 1, 2, 2, -3, -1, -2, -1, 1, 2]
joypoppers	-0.1	1.22066	[2, -1, 1, -1, -1, 1, 1, 0, -2, -1]
joyridden	0.6	1.8	[-2, -1, 4, 0, 0, 2, 1, -1, 0, 3]
joyride	1.1	1.22066	[-1, 1, 2, 0, 2, 0, 2, 2, 3, 0]
joyrider	0.7	1.26886	[2, -2, 1, 2, 0, 2, -1, 1, 1, 1]
joyriders	1.3	1.18743	[1, 0, 0, 1, 4, 3, 1, 1, 1, 1]
joyrides	0.8	1.32665	[2, -2, 1, 2, 0, 2, -1, 1, 2, 1]
joyriding	0.9	1.04403	[1, -1, 1, 1, 0, 2, 0, 1, 3, 1]
joyrode	1.0	1.48324	[4, 0, -2, 0, 2, 1, 2, 1, 1, 1]
joys	2.2	0.4	[2, 2, 2, 2, 2, 3, 2, 3, 2, 2]
joystick	0.7	0.78102	[1, 0, 2, 2, 0, 0, 1, 1, 0, 0]
joysticks	0.2	0.4	[0, 0, 0, 0, 1, 0, 0, 1, 0, 0]
jubilant	3.0	0.63246	[3, 3, 4, 3, 3, 2, 3, 4, 2, 3]
jumpy	-1.0	0.63246	[0, 0, -2, -1, -1, -1, -1, -1, -2, -1]
justice	2.4	1.0198	[3, 2, 1, 2, 3, 2, 4, 4, 2, 1]
justifiably	1.0	0.7746	[0, 1, 0, 1, 1, 1, 0, 2, 2, 2]
justified	1.7	0.64031	[1, 2, 2, 3, 1, 1, 1, 2, 2, 2]
keen	1.5	0.67082	[1, 1, 3, 1, 2, 1, 1, 2, 2, 1]
keened	0.3	1.00499	[-2, 0, 1, 0, 1, 1, 0, 2, 0, 0]
keener	0.5	1.20416	[-1, -1, 0, -1, 2, 1, 2, 2, 1, 0]
keeners	0.6	0.4899	[1, 0, 0, 1, 1, 0, 1, 1, 0, 1]
keenest	1.9	0.83066	[3, 3, 1, 1, 3, 2, 2, 1, 2, 1]
keening	-0.7	1.41774	[0, -3, -1, -1, -3, 1, -1, 1, 1, -1]
keenly	1.0	0.7746	[2, 1, 1, 0, 1, 0, 2, 1, 2, 0]
keenness	1.4	0.4899	[1, 1, 2, 2, 1, 1, 1, 2, 2, 1]
keens	0.1	1.22066	[1, -3, 0, 0, 0, 2, 1, 0, 0, 0]
kewl	1.3	0.45826	[2, 1, 1, 1, 2, 1, 2, 1, 1, 1]
kidding	0.4	0.8	[0, 1, 0, -1, 1, 1, 1, 1, -1, 1]
kill	-3.7	0.45826	[-4, -4, -4, -4, -3, -4, -4, -4, -3, -3]
killdeer	-1.1	1.04403	[-3, 0, 0, -1, -2, 0, -1, -2, -2, 0]
killdeers	-0.1	0.3	[0, 0, 0, 0, 0, 0, 0, 0, 0, -1]
killdees	-0.6	0.66332	[-2, 0, 0, 0, -1, 0, -1, -1, -1, 0]
killed	-3.5	0.67082	[-3, -3, -2, -4, -4, -4, -3, -4, -4, -4]
killer	-3.3	0.64031	[-4, -4, -3, -3, -4, -4, -3, -3, -2, -3]
killers	-3.3	0.45826	[-3, -3, -4, -3, -3, -3, -4, -3, -4, -3]
killick	0.1	0.3	[0, 1, 0, 0, 0, 0, 0, 0, 0, 0]
killie	-0.1	0.3	[0, 0, 0, 0, 0, 0, 0, 0, 0, -1]
killifish	-0.1	0.7	[0, 0, 0, 0, -2, 0, 0, 0, 1, 0]
killifishes	-0.1	0.3	[0, -1, 0, 0, 0, 0, 0, 0, 0, 0]
killing	-3.4	1.2	[-4, 0, -4, -4, -4, -3, -4, -3, -4, -4]
killingly	-2.6	1.0198	[-3, -2, -4, -2, -1, -3, -4, -3, -3, -1]
killings	-3.5	0.67082	[-4, -3, -4, -4, -2, -3, -4, -4, -3, -4]
killjoy	-2.1	0.83066	[-1, -2, -3, -2, -1, -3, -2, -1, -3, -3]
killjoys	-1.7	0.9	[-1, -3, -3, -1, -2, -1, -2, 0, -2, -2]
killock	-0.3	0.64031	[0, 0, 0, 0, -2, 0, 0, 0, -1, 0]
killocks	-0.4	0.66332	[0, 0, 0, -2, -1, 0, -1, 0, 0, 0]
kills	-2.5	0.92195	[-2, -3, -2, -3, -4, -1, -3, -3, -1, -3]
kind	2.4	0.66332	[2, 2, 3, 3, 2, 3, 3, 2, 1, 3]
kinder	2.2	0.6	[3, 3, 3, 2, 2, 2, 2, 1, 2, 2]
kindly	2.2	0.4	[2, 2, 2, 3, 2, 2, 2, 2, 2, 3]
kindness	2.0	0.63246	[2, 1, 3, 3, 2, 1, 2, 2, 2, 2]
kindnesses	2.3	0.64031	[3, 1, 3, 2, 3, 2, 3, 2, 2, 2]
kiss	1.8	1.6	[4, 0, 3, 3, 2, 0, 4, 2, 0, 0]
kissable	2.0	0.89443	[2, 2, 2, 2, 4, 2, 3, 1, 1, 1]
kissably	1.9	1.04403	[1, 3, 4, 1, 2, 1, 3, 2, 1, 1]
kissed	1.6	1.11355	[2, 4, 1, 1, 1, 2, 3, 0, 1, 1]
kisser	1.7	1.34536	[2, 4, 1, 2, -1, 2, 3, 0, 2, 2]
kissers	1.5	0.80623	[1, 1, 1, 0, 2, 2, 3, 2, 1, 2]
kisses	2.3	0.9	[2, 4, 2, 2, 1, 2, 4, 2, 2, 2]
kissing	2.7	0.78102	[3, 3, 4, 1, 3, 2, 2, 3, 3, 3]
kissy	1.8	0.6	[2, 2, 2, 3, 1, 1, 2, 2, 1, 2]
kudos	2.3	0.64031	[2, 4, 2, 3, 2, 2, 2, 2, 2, 2]
lack	-1.3	0.45826	[-1, -1, -1, -1, -2, -1, -2, -1, -1, -2]
lackadaisical	-1.6	0.66332	[-1, -1, -2, -1, -2, -2, -3, -1, -2, -1]
lag	-1.4	0.66332	[-1, -1, -1, -1, -1, -3, -1, -2, -2, -1]
lagged	-1.2	0.6	[-2, -2, -1, -2, -1, -1, 0, -1, -1, -1]
lagging	-1.1	0.83066	[-2, -2, -2, -1, 0, 0, -1, 0, -1, -2]
lags	-1.5	0.67082	[-2, -1, -1, -2, -1, -3, -1, -2, -1, -1]
laidback	0.5	1.28452	[1, -1, 1, -2, -1, 1, 2, 1, 1, 2]
lame	-1.8	0.74833	[-1, -3, -1, -2, -2, -1, -2, -3, -1, -2]
lamebrain	-1.6	0.91652	[-3, -2, -1, 0, -3, -1, -1, -2, -2, -1]
lamebrained	-2.5	0.67082	[-3, -3, -2, -2, -2, -2, -4, -3, -2, -2]
lamebrains	-1.2	1.46969	[-2, -1, -3, -1, 2, -2, 1, -2, -2, -2]
lamedh	0.1	0.53852	[0, 0, 0, 0, 0, 1, 1, -1, 0, 0]
lamella	-0.1	0.3	[0, -1, 0, 0, 0, 0, 0, 0, 0, 0]
lamellae	-0.1	0.3	[0, 0, 0, 0, 0, 0, -1, 0, 0, 0]
lamellas	0.1	0.53852	[0, 0, 0, 0, 0, 1, 0, 1, 0, -1]
lamellibranch	0.2	0.4	[0, 0, 0, 0, 0, 1, 0, 1, 0, 0]
lamellibranchs	-0.1	0.3	[0, 0, -1, 0, 0, 0, 0, 0, 0, 0]
lamely	-2.0	0.89443	[-2, -3, 0, -1, -2, -3, -2, -3, -2, -2]
lameness	-0.8	1.07703	[-2, -2, -1, -1, -1, 0, 2, -1, -1, -1]
lament	-2.0	1.26491	[-3, -3, 1, -1, -2, -2, -1, -3, -3, -3]
lamentable	-1.5	1.0247	[-2, 0, -2, -1, 0, -2, -3, -1, -1, -3]
lamentableness	-1.3	0.64031	[-2, -1, -1, 0, -2, -1, -1, -1, -2, -2]
lamentably	-1.5	0.80623	[-2, 0, -3, -1, -1, -2, -2, -1, -1, -2]
lamentation	-1.4	1.49666	[-3, -2, 0, -3, -1, -1, 2, -2, -1, -3]
lamentations	-1.9	1.44568	[-2, -2, -2, -3, 2, -1, -3, -3, -2, -3]
lamented	-1.4	0.91652	[-1, 0, -1, -2, -2, -1, -2, -3, -2, 0]
lamenter	-1.2	0.87178	[-1, 0, -1, -1, -1, -1, -2, -3, -2, 0]
lamenters	-0.5	0.67082	[-1, 0, 0, -1, -1, 0, 0, 0, -2, 0]
lamenting	-2.0	1.09545	[0, -2, -1, -4, -1, -3, -2, -2, -3, -2]
laments	-1.5	0.80623	[-1, -3, 0, -1, -2, -1, -2, -2, -2, -1]
lamer	-1.4	0.4899	[-2, -1, -1, -2, -1, -1, -1, -2, -2, -1]
lames	-1.2	0.6	[-2, -1, -1, -2, 0, -1, -1, -2, -1, -1]
lamest	-1.5	1.28452	[-3, -2, -1, -4, 1, -1, -1, -1, -1, -2]
landmark	0.3	0.64031	[2, 0, 0, 0, 0, 0, 0, 0, 1, 0]
laugh	2.6	0.66332	[3, 2, 3, 1, 3, 3, 3, 3, 2, 3]
laughable	0.2	1.72047	[-2, -1, 3, -1, 2, 2, -1, -1, -1, 2]
laughableness	1.2	1.6	[2, 0, 3, 2, 2, 1, 3, -2, 2, -1]
laughably	1.2	1.249	[2, 1, 2, 1, 1, 1, 2, 3, -2, 1]
laughed	2.0	0.63246	[2, 2, 3, 1, 2, 1, 2, 2, 3, 2]
laugher	1.7	0.45826	[2, 2, 1, 1, 2, 1, 2, 2, 2, 2]
laughers	1.7	0.9	[1, 2, 4, 1, 2, 1, 2, 1, 1, 2]
laughing	2.2	0.87178	[2, 4, 1, 1, 3, 2, 2, 2, 2, 3]
laughingly	2.3	1.1	[2, 4, 0, 2, 3, 1, 3, 2, 3, 3]
laughings	1.9	0.7	[2, 1, 1, 1, 2, 3, 2, 2, 3, 2]
laughingstocks	-1.3	1.26886	[-3, -2, 1, -2, -1, -1, 1, -2, -2, -2]
laughs	2.2	0.6	[1, 2, 2, 3, 3, 2, 3, 2, 2, 2]
laughter	2.2	0.6	[2, 3, 2, 2, 2, 2, 3, 1, 3, 2]
laughters	2.2	0.6	[3, 1, 2, 2, 2, 3, 3, 2, 2, 2]
launched	0.5	0.80623	[2, 0, 0, 0, 0, 0, 0, 1, 2, 0]
lawl	1.4	1.42829	[0, 2, 2, 1, 3, -2, 3, 1, 2, 2]
lawsuit	-0.9	1.22066	[-2, -2, -1, -3, -1, 1, 0, 1, -1, -1]
lawsuits	-0.6	1.68523	[-2, -1, 0, 3, 2, -1, -1, -2, -2, -2]
lazier	-2.3	0.64031	[-3, -2, -3, -2, -1, -2, -2, -3, -2, -3]
laziest	-2.7	0.64031	[-2, -2, -3, -4, -3, -3, -2, -2, -3, -3]
lazy	-1.5	1.36015	[-3, -1, -3, -2, 2, -1, -1, -2, -2, -2]
leak	-1.4	0.66332	[-1, -2, -1, -1, -1, -1, -1, -2, -3, -1]
leaked	-1.3	0.78102	[-2, -2, -1, -3, -1, 0, -1, -1, -1, -1]
leave	-0.2	0.9798	[1, -1, -1, 0, 0, -1, 2, -1, 0, -1]
leet	1.3	1.48661	[2, 4, 2, 2, 0, 1, -2, 2, 1, 1]
legal	0.5	0.80623	[0, 0, 0, 2, 0, 1, 0, 0, 2, 0]
legally	0.4	0.8	[1, 0, 0, 0, 1, 0, 2, 1, 0, -1]
lenient	1.1	1.04403	[1, 3, 1, 2, 1, 1, 2, -1, 0, 1]
lethargic	-1.2	0.74833	[-2, -1, -2, -2, 0, -1, -1, -2, 0, -1]
lethargy	-1.4	0.91652	[-1, 0, -2, -1, -2, 0, -2, -1, -3, -2]
liabilities	-0.8	0.9798	[-1, 2, -1, -1, -1, -1, -1, -1, -2, -1]
liability	-0.8	1.83303	[-2, -3, -1, -1, 3, -3, -1, -1, 2, -1]
liar	-2.3	0.78102	[-1, -2, -3, -3, -2, -2, -3, -1, -3, -3]
liards	-0.4	0.91652	[-2, 0, -1, 0, 0, 1, 0, 0, -2, 0]
liars	-2.4	0.66332	[-3, -2, -2, -3, -2, -1, -3, -3, -2, -3]
libelous	-2.1	1.3	[-3, -1, -1, -2, 1, -3, -3, -3, -3, -3]
libertarian	0.9	0.9434	[1, 2, 0, 1, 0, 0, 0, 3, 1, 1]
libertarianism	0.4	0.8	[0, 0, 2, 0, 2, 0, 0, 0, 0, 0]
libertarianisms	0.1	1.13578	[0, 0, 0, 2, 2, 0, -2, 0, -1, 0]
libertarians	0.1	0.83066	[0, 0, 1, 0, 0, -1, -1, 0, 2, 0]
liberties	2.3	0.78102	[2, 4, 3, 2, 2, 1, 2, 3, 2, 2]
libertinage	0.2	1.53623	[-1, -1, 0, 0, 4, 0, -2, 1, 1, 0]
libertine	-0.9	1.44568	[0, -1, 0, 0, -1, -3, 2, -2, -1, -3]
libertines	0.4	1.35647	[-1, 3, -1, -1, 1, 1, 1, 2, 0, -1]
libertinisms	1.2	1.249	[0, 0, 3, 1, 1, 1, 4, 0, 1, 1]
liberty	2.4	0.91652	[2, 2, 3, 3, 3, 3, 2, 4, 1, 1]
lied	-1.6	1.2	[-3, 0, -3, 1, -2, -1, -2, -2, -2, -2]
lies	-1.8	0.9798	[-1, -1, -1, 0, -2, -3, -3, -2, -3, -2]
lifesaver	2.8	0.74833	[3, 3, 4, 2, 3, 1, 3, 3, 3, 3]
lighthearted	1.8	0.4	[2, 2, 2, 2, 1, 2, 2, 1, 2, 2]
like	1.5	0.67082	[1, 2, 2, 2, 1, 3, 1, 1, 1, 1]
likeable	2.0	0.63246	[1, 3, 2, 2, 2, 3, 2, 1, 2, 2]
liked	1.8	0.6	[2, 2, 1, 2, 2, 1, 3, 1, 2, 2]
likes	1.8	0.6	[2, 2, 1, 2, 2, 2, 3, 1, 1, 2]
liking	1.7	0.78102	[3, 1, 2, 1, 1, 2, 3, 1, 2, 1]
limitation	-1.2	0.6	[-2, -1, 0, -1, -1, -2, -1, -2, -1, -1]
limited	-0.9	0.53852	[-1, -1, 0, -2, -1, 0, -1, -1, -1, -1]
litigation	-0.8	0.6	[0, -2, -1, 0, -1, -1, -1, -1, 0, -1]
litigious	-0.8	0.9798	[-2, -1, 0, -2, 0, -2, 1, -1, 0, -1]
livelier	1.7	0.78102	[2, 2, 1, 3, 1, 3, 2, 1, 1, 1]
liveliest	2.1	0.9434	[2, 1, 2, 3, 1, 1, 2, 4, 3, 2]
livelihood	0.8	1.07703	[0, 3, 1, 0, 2, 2, 0, 0, 0, 0]
livelihoods	0.9	1.13578	[0, 0, 0, 3, 2, 2, 0, 2, 0, 0]
livelily	1.8	0.6	[2, 2, 2, 3, 1, 2, 1, 2, 2, 1]
liveliness	1.6	0.8	[1, 3, 0, 2, 2, 2, 2, 2, 1, 1]
livelong	1.7	0.78102	[3, 0, 1, 1, 2, 2, 2, 2, 2, 2]
lively	1.9	0.7	[2, 2, 3, 1, 1, 2, 3, 1, 2, 2]
livid	-2.5	0.92195	[-2, -3, -1, -2, -4, -3, -1, -3, -3, -3]
lmao	2.9	0.9434	[3, 4, 3, 1, 2, 4, 3, 3, 2, 4]
loathe	-2.2	2.08806	[-1, -4, -3, -2, -4, 2, 1, -3, -4, -4]
loathed	-2.1	1.44568	[-4, -3, -3, -3, -1, 1, -1, -1, -3, -3]
loathes	-1.9	1.13578	[-1, -4, -1, -3, -3, -1, -1, -3, -1, -1]
loathing	-2.7	0.78102	[-3, -3, -3, -1, -4, -2, -3, -3, -2, -3]
lobby	0.1	0.53852	[0, 0, 0, 1, 0, 1, 0, -1, 0, 0]
lobbying	-0.3	0.45826	[0, -1, 0, 0, 0, 0, 0, -1, -1, 0]
lol	1.8	1.46969	[1, 3, 4, 1, 2, 4, 1, 2, -1, 1]
lone	-1.1	0.3	[-1, -1, -1, -1, -1, -1, -2, -1, -1, -1]
lonelier	-1.4	0.66332	[-2, -1, -2, -2, 0, -2, -1, -1, -1, -2]
loneliest	-2.4	0.8	[-3, -1, -2, -4, -2, -2, -3, -3, -2, -2]
loneliness	-1.8	0.6	[-2, -2, -1, -3, -2, -2, -1, -2, -1, -2]
lonelinesses	-1.5	1.36015	[-2, -2, -1, -1, 2, -1, -3, -2, -3, -2]
lonely	-1.5	0.5	[-1, -2, -2, -1, -1, -1, -1, -2, -2, -2]
loneness	-1.1	0.83066	[-1, -2, -1, -2, -1, -1, -2, 1, -1, -1]
loner	-1.3	0.45826	[-1, -2, -1, -1, -1, -1, -1, -2, -2, -1]
loners	-0.9	0.53852	[-1, -1, -2, -1, -1, -1, 0, 0, -1, -1]
lonesome	-1.5	0.67082	[-2, -1, -2, -1, -2, -1, -2, 0, -2, -2]
lonesomely	-1.3	1.00499	[-2, -2, -2, -2, -1, -2, 0, -2, -1, 1]
lonesomeness	-1.8	0.6	[-2, -2, -1, -3, -1, -2, -2, -2, -1, -2]
lonesomes	-1.4	0.4899	[-2, -1, -1, -1, -1, -1, -2, -2, -2, -1]
longing	-0.1	0.9434	[0, -1, 0, -1, -1, 0, 2, -1, 1, 0]
longingly	0.7	0.45826	[1, 0, 1, 0, 1, 1, 1, 0, 1, 1]
longings	0.4	1.2	[2, 0, -1, -1, 0, 1, 3, 0, 0, 0]
loom	-0.9	0.53852	[-1, -1, -1, -1, -1, -2, 0, -1, -1, 0]
loomed	-1.1	1.04403	[-2, -2, -1, -1, -1, -1, 0, -1, -3, 1]
looming	-0.5	1.5	[-2, -1, -1, 0, -2, -2, 3, -1, 0, 1]
looms	-0.6	1.0198	[-1, -2, -1, -1, 0, 0, 1, -2, 1, -1]
loose	-1.3	1.18743	[-2, -1, 0, -2, 0, -1, 0, -2, -4, -1]
looses	-0.6	0.91652	[0, -1, 0, -1, 0, 0, 0, 0, -3, -1]
lose	-1.7	0.45826	[-1, -2, -1, -2, -1, -2, -2, -2, -2, -2]
loser	-2.4	0.66332	[-3, -2, -2, -2, -2, -3, -3, -1, -3, -3]
losers	-2.4	0.8	[-3, -1, -2, -2, -4, -2, -3, -3, -2, -2]
loses	-1.3	1.00499	[0, -1, -1, -1, -1, -4, -1, -1, -2, -1]
losing	-1.6	0.8	[-1, -1, -1, -2, -1, -2, -3, -3, -1, -1]
loss	-1.3	0.45826	[-1, -2, -1, -1, -1, -2, -2, -1, -1, -1]
losses	-1.7	0.9	[-2, -1, -2, -3, 0, -1, -3, -1, -2, -2]
lossy	-1.2	0.87178	[-2, -2, -1, -2, 0, 0, 0, -1, -2, -2]
lost	-1.3	0.45826	[-1, -1, -2, -1, -1, -2, -2, -1, -1, -1]
louse	-1.6	1.2	[-1, -1, -3, -4, 0, -3, -1, -1, -1, -1]
loused	-1.0	0.7746	[-1, -1, -1, -1, 0, 0, -2, 0, -2, -2]
louses	-1.3	0.78102	[-2, -1, -2, -1, -1, 0, -2, 0, -2, -2]
lousewort	0.1	1.3	[-2, -2, 1, 0, 0, 0, 0, 2, 2, 0]
louseworts	-0.6	0.66332	[0, 0, 0, -2, 0, -1, 0, -1, -1, -1]
lousier	-2.2	0.4	[-2, -3, -2, -2, -3, -2, -2, -2, -2, -2]
lousiest	-2.6	0.8	[-4, -2, -3, -3, -1, -2, -3, -3, -2, -3]
lousily	-1.2	0.9798	[-1, -1, -2, -2, -2, -2, 0, -1, 1, -2]
lousiness	-1.7	0.64031	[-2, -2, -1, -1, -2, -2, -3, -2, -1, -1]
lousing	-1.1	0.9434	[-3, 0, 0, 0, -1, -2, -1, -2, -1, -1]
lousy	-2.5	0.67082	[-2, -4, -2, -3, -2, -3, -2, -2, -3, -2]
lovable	3.0	0.63246	[3, 3, 3, 4, 3, 2, 3, 3, 2, 4]
love	3.2	0.4	[3, 3, 3, 3, 3, 3, 3, 4, 4, 3]
loved	2.9	0.7	[3, 3, 4, 2, 2, 4, 3, 2, 3, 3]
lovelies	2.2	0.74833	[3, 3, 3, 1, 2, 2, 3, 2, 1, 2]
lovely	2.8	0.6	[2, 3, 3, 3, 2, 3, 4, 3, 2, 3]
lover	2.8	0.87178	[3, 1, 2, 3, 4, 3, 2, 3, 4, 3]
loverly	2.8	0.74833	[3, 2, 4, 3, 3, 2, 3, 2, 2, 4]
lovers	2.4	1.11355	[2, 3, 2, 4, 4, 1, 1, 3, 3, 1]
loves	2.7	0.9	[3, 3, 3, 2, 2, 4, 4, 2, 1, 3]
loving	2.9	0.53852	[3, 2, 3, 3, 3, 2, 4, 3, 3, 3]
lovingly	3.2	0.6	[3, 3, 3, 4, 4, 4, 2, 3, 3, 3]
lovingness	2.7	1.67631	[4, 4, 3, 3, 2, 3, -2, 4, 3, 3]
low	-1.1	0.53852	[-1, -1, -1, -1, -1, -2, -1, -2, 0, -1]
lowball	-0.8	0.87178	[-1, -2, 0, -2, -1, -1, 0, 1, -1, -1]
lowballed	-1.5	0.67082	[-2, 0, -1, -1, -2, -2, -1, -2, -2, -2]
lowballing	-0.7	0.78102	[-2, -1, -1, 1, 0, -1, -1, 0, -1, -1]
lowballs	-1.2	0.74833	[-1, -1, -1, -1, -3, -1, -2, 0, -1, -1]
lowborn	-0.7	1.1	[-1, 0, -1, 0, -2, -1, -2, -1, -1, 2]
lowboys	-0.6	1.0198	[-1, 0, 0, 0, -3, -1, 1, 0, -1, -1]
lowbred	-2.6	1.0198	[-2, -1, -2, -4, -2, -2, -4, -4, -3, -2]
lowbrow	-1.9	0.7	[-1, -3, -1, -2, -2, -2, -1, -3, -2, -2]
lowbrows	-0.6	0.66332	[0, 0, -1, 0, -2, -1, -1, 0, 0, -1]
lowdown	-0.8	0.9798	[-1, -1, 0, 0, 0, -2, -3, 0, -1, 0]
lowdowns	-0.2	0.4	[0, 0, 0, -1, 0, 0, 0, 0, -1, 0]
lowe	0.5	0.80623	[0, 0, 0, 0, 0, 1, 0, 0, 2, 2]
lowed	-0.8	0.6	[0, -1, -1, -2, -1, 0, -1, 0, -1, -1]
lower	-1.2	0.87178	[0, -2, -1, -1, -2, 0, -2, 0, -2, -2]
lowercase	0.3	0.45826	[0, 0, 0, 0, 1, 0, 1, 0, 1, 0]
lowercased	-0.2	0.4	[0, -1, 0, 0, 0, 0, -1, 0, 0, 0]
lowerclassman	-0.4	0.4899	[0, -1, -1, -1, 0, 0, 0, 0, 0, -1]
lowered	-0.5	1.11803	[-1, -1, -2, -1, -1, 2, -1, -1, 1, 0]
lowering	-1.0	0.7746	[0, -1, -1, -1, -1, 0, -3, -1, -1, -1]
lowermost	-1.4	1.11355	[-1, -1, -3, -1, -1, -1, -2, -3, 1, -2]
lowers	-0.5	0.5	[-1, -1, 0, -1, 0, 0, 0, -1, -1, 0]
lowery	-1.8	0.87178	[-1, -1, -2, -3, -1, -2, -3, -3, -1, -1]
lowest	-1.6	0.4899	[-2, -2, -2, -2, -1, -2, -1, -1, -1, -2]
lowing	-0.5	0.67082	[0, 0, 0, -1, 0, 0, -1, -2, -1, 0]
lowish	-0.9	0.53852	[-2, -1, -1, 0, -1, 0, -1, -1, -1, -1]
lowland	-0.1	0.3	[0, 0, -1, 0, 0, 0, 0, 0, 0, 0]
lowlander	-0.4	0.66332	[0, 0, 0, 0, 0, 0, -1, -1, -2, 0]
lowlanders	-0.3	0.64031	[0, 0, 0, -2, 0, -1, 0, 0, 0, 0]
lowlands	-0.1	0.7	[0, -1, -1, 0, -1, 1, 0, 1, 0, 0]
lowlier	-1.7	0.78102	[-2, -2, -2, -3, -1, -2, -2, -1, 0, -2]
lowliest	-1.8	1.6	[-1, -3, -3, -4, -2, -1, -1, 0, 1, -4]
lowlife	-1.5	0.67082	[-2, -2, -2, -1, -1, -2, -1, 0, -2, -2]
lowlifes	-2.2	1.249	[-3, -2, -3, -4, -2, 1, -2, -3, -2, -2]
lowlight	-2.0	1.26491	[-3, -2, -1, -3, 1, -2, -1, -3, -3, -3]
lowlights	-0.3	0.78102	[0, 0, -1, 1, -2, -1, 0, 0, 0, 0]
lowlihead	-0.3	1.34536	[-1, -1, 1, -3, 0, 0, 1, -1, 2, -1]
lowliness	-1.1	0.53852	[-1, -2, -1, -2, -1, -1, -1, 0, -1, -1]
lowlinesses	-1.2	1.07703	[-3, -1, -2, -2, 0, -1, -1, -1, -2, 1]
lowlives	-2.1	0.7	[-2, -3, -3, -2, -1, -2, -3, -2, -1, -2]
lowly	-1.0	1.34164	[-1, -2, -1, -2, 2, -2, -1, 1, -2, -2]
lown	0.9	1.13578	[2, 2, 1, -1, 0, 1, 2, -1, 1, 2]
lowness	-1.3	0.45826	[-1, -2, -2, -1, -1, -2, -1, -1, -1, -1]
lowrider	-0.2	0.4	[0, 0, 0, -1, -1, 0, 0, 0, 0, 0]
lowriders	0.1	0.53852	[0, 0, 0, 0, 1, 0, -1, 0, 1, 0]
lows	-0.8	0.9798	[0, -1, -1, -1, 0, 1, -3, -1, -1, -1]
lowse	-0.7	0.78102	[0, -1, 1, -1, -1, -1, 0, -1, -2, -1]
loyal	2.1	0.7	[3, 2, 1, 1, 2, 2, 3, 2, 3, 2]
loyalism	1.0	0.89443	[1, 2, 1, -1, 0, 1, 2, 1, 1, 2]
loyalisms	0.9	0.83066	[2, 0, 0, 1, 1, 0, 2, 2, 1, 0]
loyalist	1.5	0.92195	[1, 0, 2, 2, 3, 0, 2, 2, 1, 2]
loyalists	1.1	0.83066	[1, 1, 1, 3, 0, 2, 1, 0, 1, 1]
loyally	2.1	0.7	[3, 2, 2, 2, 1, 3, 1, 2, 3, 2]
loyalties	1.9	0.7	[3, 1, 2, 2, 2, 3, 2, 1, 1, 2]
loyalty	2.5	0.67082	[1, 3, 3, 3, 3, 2, 2, 2, 3, 3]
luck	2.0	0.63246	[2, 2, 1, 3, 3, 2, 1, 2, 2, 2]
lucked	1.9	0.7	[2, 2, 2, 1, 1, 2, 3, 3, 1, 2]
luckie	1.6	0.66332	[1, 1, 1, 2, 2, 1, 1, 2, 2, 3]
luckier	1.9	0.7	[1, 3, 1, 2, 2, 1, 2, 3, 2, 2]
luckiest	2.9	0.7	[3, 3, 4, 2, 2, 4, 3, 3, 2, 3]
luckily	2.3	0.45826	[2, 2, 3, 2, 2, 3, 2, 2, 2, 3]
luckiness	1.0	1.61245	[2, 2, 1, -2, 3, 1, 1, 2, 2, -2]
lucking	1.2	0.6	[2, 1, 1, 0, 1, 1, 1, 2, 2, 1]
luckless	-1.3	0.45826	[-2, -1, -2, -1, -1, -1, -2, -1, -1, -1]
lucks	1.6	0.91652	[0, 3, 1, 1, 3, 2, 2, 1, 2, 1]
lucky	1.8	0.74833	[2, 1, 1, 1, 3, 2, 1, 2, 2, 3]
ludicrous	-1.5	1.36015	[2, -2, -2, -1, -1, -1, -3, -3, -2, -2]
ludicrously	-0.2	1.83303	[3, -1, 0, -2, -1, 0, 3, -3, -1, 0]
ludicrousness	-1.9	1.57797	[-1, 2, -2, -3, -2, -2, -3, -4, -1, -3]
lugubrious	-2.1	1.37477	[-3, -2, -3, -3, -3, 1, -2, -3, 0, -3]
lulz	2.0	1.0	[2, 2, 2, 3, 4, 1, 3, 1, 1, 1]
lunatic	-2.2	1.32665	[-2, -3, -4, -2, -3, -2, -1, -3, 1, -3]
lunatics	-1.6	1.95959	[-4, -2, -3, -4, -2, 2, -1, -3, 1, 0]
lurk	-0.8	0.87178	[-1, -1, 0, -3, -1, 0, -1, 0, -1, 0]
lurking	-0.5	1.11803	[1, -1, -1, 0, -1, -2, 1, -2, 1, -1]
lurks	-0.9	1.04403	[-1, -1, -1, -2, -2, -1, -1, -1, 2, -1]
lying	-2.4	0.8	[-2, -4, -3, -1, -2, -2, -3, -2, -2, -3]
mad	-2.2	0.74833	[-3, -3, -1, -1, -2, -3, -2, -2, -3, -2]
maddening	-2.2	0.74833	[-3, -3, -1, -1, -3, -2, -2, -3, -2, -2]
madder	-1.2	1.16619	[-2, 0, -3, 0, 0, -1, -3, -1, -2, 0]
maddest	-2.8	1.16619	[-4, -4, -4, -4, -1, -3, -2, -1, -2, -3]
madly	-1.7	1.1	[-2, 0, -2, -2, -2, -1, -4, -2, 0, -2]
madness	-1.9	0.53852	[-1, -2, -1, -3, -2, -2, -2, -2, -2, -2]
magnific	2.3	1.1	[2, 2, 0, 2, 4, 4, 2, 2, 3, 2]
magnifical	2.4	1.28062	[1, 4, 1, 2, 4, 3, 1, 1, 4, 3]
magnifically	2.4	1.2	[3, 3, 3, 2, 4, 0, 1, 2, 2, 4]
magnification	1.0	0.89443	[2, 3, 1, 0, 0, 1, 1, 1, 0, 1]
magnifications	1.2	1.249	[-1, 0, 0, 2, 2, 2, 0, 2, 3, 2]
magnificence	2.4	1.0198	[3, 2, 1, 3, 2, 1, 4, 4, 2, 2]
magnificences	2.3	0.9	[3, 4, 3, 1, 3, 2, 1, 2, 2, 2]
magnificent	2.9	0.7	[2, 4, 2, 4, 3, 3, 3, 3, 2, 3]
magnificently	3.4	0.66332	[3, 3, 3, 4, 4, 2, 4, 4, 3, 4]
magnifico	1.8	0.87178	[2, 1, 1, 2, 1, 1, 3, 3, 3, 1]
magnificoes	1.4	0.8	[2, 2, 0, 2, 1, 1, 3, 1, 1, 1]
mandatory	0.3	0.9	[1, 0, -1, 0, -1, 0, 1, 2, 0, 1]
maniac	-2.1	0.7	[-1, -2, -2, -2, -3, -3, -1, -2, -2, -3]
maniacal	-0.3	1.73494	[2, -1, -3, -3, 0, 2, -1, 1, 1, -1]
maniacally	-1.7	0.78102	[-1, -2, -1, -2, -3, -2, -1, -3, -1, -1]
maniacs	-1.2	1.8868	[-3, 1, -2, 1, -3, -2, 0, 2, -3, -3]
manipulated	-1.6	0.4899	[-2, -1, -1, -2, -1, -2, -2, -1, -2, -2]
manipulating	-1.5	0.80623	[-1, -1, -1, -2, -2, -1, -2, -2, -3, 0]
manipulation	-1.2	1.72047	[2, -3, -2, -3, -1, -1, -2, 2, -2, -2]
marvel	1.8	0.6	[2, 1, 1, 2, 1, 2, 3, 2, 2, 2]
marvelous	2.9	0.7	[2, 2, 3, 2, 3, 3, 4, 3, 4, 3]
marvels	2.0	0.89443	[3, 1, 1, 3, 1, 2, 1, 2, 3, 3]
masochism	-1.6	1.11355	[-1, 0, -2, -2, -2, -2, 0, -4, -1, -2]
masochisms	-1.1	1.57797	[3, -3, -2, -2, -1, -1, -2, -1, 0, -2]
masochist	-1.7	0.9	[-1, 0, -3, -1, -2, -2, -2, -2, -1, -3]
masochistic	-2.2	1.16619	[-1, -1, -1, -2, -3, -2, -4, -3, -4, -1]
masochistically	-1.6	1.35647	[-1, -1, -3, -3, -3, -3, 0, -2, 1, -1]
masochists	-1.2	1.07703	[1, -2, 0, -2, -3, -1, -2, -1, -1, -1]
masterpiece	3.1	0.83066	[3, 4, 4, 4, 2, 2, 2, 4, 3, 3]
masterpieces	2.5	0.67082	[2, 2, 3, 2, 2, 2, 4, 3, 3, 2]
matter	0.1	0.3	[0, 0, 0, 0, 0, 0, 0, 1, 0, 0]
matters	0.1	0.3	[0, 0, 0, 0, 1, 0, 0, 0, 0, 0]
mature	1.8	0.4	[2, 2, 2, 2, 2, 1, 2, 2, 1, 2]
meaningful	1.3	0.9	[0, 0, 2, 1, 1, 3, 1, 2, 2, 1]
meaningless	-1.9	0.7	[-1, -2, -2, -2, -1, -1, -2, -3, -3, -2]
medal	2.1	1.22066	[2, 4, 3, 1, 0, 2, 2, 2, 1, 4]
mediocrity	-0.3	1.1	[-1, 0, -2, 0, -1, 2, -1, -1, 0, 1]
meditative	1.4	0.66332	[2, 0, 1, 2, 2, 1, 2, 1, 2, 1]
meh	-0.3	0.78102	[-1, 0, -1, 0, -1, -1, 1, 0, 1, -1]
melancholia	-0.5	1.28452	[0, -2, -2, 0, 1, -1, 2, -2, 0, -1]
melancholiac	-2.0	0.63246	[-2, -2, -3, -2, -2, -3, -1, -1, -2, -2]
melancholias	-1.6	0.8	[-1, -2, -3, -2, 0, -2, -1, -1, -2, -2]
melancholic	-0.3	1.18743	[0, 2, -2, 0, 1, -1, 0, -2, 0, -1]
melancholics	-1.0	1.0	[0, -1, -3, 1, -1, -2, -1, -1, -1, -1]
melancholies	-1.1	0.83066	[-1, 0, -1, 0, -3, -1, -2, -1, -1, -1]
melancholy	-1.9	1.13578	[-3, -2, -3, -2, -3, -2, -2, 1, -1, -2]
menace	-2.2	0.87178	[-3, -3, -2, -1, -1, -2, -3, -1, -3, -3]
menaced	-1.7	1.48661	[-3, -2, -2, -3, -3, -1, 1, -3, 1, -2]
mercy	1.5	0.67082	[1, 2, 1, 1, 1, 3, 2, 2, 1, 1]
merit	1.8	0.74833	[2, 2, 2, 2, 0, 2, 3, 2, 2, 1]
merited	1.4	0.4899	[1, 2, 2, 1, 1, 1, 2, 1, 2, 1]
meriting	1.1	1.13578	[1, 2, 1, -2, 1, 1, 2, 2, 1, 2]
meritocracy	0.6	1.35647	[2, 4, 0, 0, 1, -1, 0, 0, 0, 0]
meritocrat	0.4	0.8	[0, 0, 0, 1, -1, 0, 0, 1, 2, 1]
meritocrats	1.1	1.13578	[2, 1, 1, 0, 0, 1, 1, 4, 0, 1]
meritorious	2.1	0.53852	[3, 2, 2, 2, 2, 2, 2, 2, 3, 1]
meritoriously	1.3	1.95192	[3, -1, 3, -2, 2, 0, -1, 3, 3, 3]
meritoriousness	1.7	1.18743	[4, 1, 2, 1, 2, 0, 3, 2, 2, 0]
merits	1.7	0.78102	[1, 3, 1, 1, 2, 2, 1, 1, 3, 2]
merrier	1.7	1.41774	[3, 2, 2, 3, 2, 2, -1, -1, 3, 2]
merriest	2.7	1.41774	[3, 4, 4, 4, 2, 3, -1, 2, 3, 3]
merrily	2.4	0.66332	[3, 3, 2, 2, 2, 3, 2, 3, 1, 3]
merriment	2.4	1.35647	[1, 3, 3, 4, 2, -1, 3, 3, 3, 3]
merriments	2.0	0.89443	[2, 2, 3, 3, 0, 2, 2, 1, 2, 3]
merriness	2.2	0.74833	[2, 1, 2, 3, 2, 2, 3, 3, 1, 3]
merry	2.5	0.80623	[2, 4, 2, 2, 3, 3, 3, 3, 2, 1]
merrymaker	2.2	1.4	[3, 1, 3, 3, 3, -1, 2, 1, 3, 4]
merrymakers	1.7	1.34536	[1, 4, 1, 3, 1, 3, -1, 2, 1, 2]
merrymaking	2.2	0.6	[3, 2, 2, 2, 2, 1, 3, 3, 2, 2]
merrymakings	2.4	1.11355	[3, 3, 2, 3, 4, 2, 0, 3, 1, 3]
merrythought	1.1	0.9434	[1, 1, 3, 0, 2, 0, 0, 1, 2, 1]
merrythoughts	1.6	1.11355	[1, 3, 2, 1, 2, 1, 0, 3, 3, 0]
mess	-1.5	0.92195	[-1, -3, -1, -1, -3, -1, -2, -1, 0, -2]
messed	-1.4	0.8	[-2, -1, -1, -3, 0, -2, -2, -1, -1, -1]
messy	-1.5	0.80623	[-1, -2, -2, -2, -1, -1, -2, 0, -1, -3]
methodical	0.6	0.8	[0, 0, 0, 2, 2, 0, 1, 1, 0, 0]
mindless	-1.9	0.7	[-2, -1, -2, -1, -1, -2, -3, -3, -2, -2]
miracle	2.8	0.87178	[4, 4, 3, 2, 3, 4, 2, 2, 2, 2]
mirth	2.6	0.66332	[3, 3, 3, 2, 3, 3, 3, 2, 1, 3]
mirthful	2.7	0.45826	[3, 3, 3, 2, 3, 3, 3, 2, 3, 2]
mirthfully	2.0	1.48324	[2, 3, 4, 3, 0, -1, 2, 1, 3, 3]
misbehave	-1.9	0.7	[-3, -3, -1, -2, -2, -1, -1, -2, -2, -2]
misbehaved	-1.6	0.4899	[-1, -2, -1, -2, -2, -2, -1, -2, -1, -2]
misbehaves	-1.6	0.4899	[-1, -2, -2, -1, -2, -2, -1, -2, -1, -2]
misbehaving	-1.7	0.64031	[-1, -2, -1, -2, -3, -2, -1, -2, -1, -2]
mischief	-1.5	0.67082	[-2, -1, -1, -1, -1, -2, -3, -2, -1, -1]
mischiefs	-0.8	1.72047	[-2, -1, -2, -2, 3, -1, -2, 2, -1, -2]
miser	-1.8	0.87178	[-1, -2, 0, -3, -2, -2, -3, -2, -2, -1]
miserable	-2.2	1.32665	[-2, -2, -3, -3, -4, -3, -1, -2, 1, -3]
miserableness	-2.8	0.6	[-3, -3, -3, -3, -2, -2, -3, -4, -2, -3]
miserably	-2.1	1.37477	[-2, -1, -3, -3, -4, -3, -1, -2, 1, -3]
miserere	-0.8	1.07703	[-1, -1, 0, -3, 0, -1, 0, 1, -2, -1]
misericorde	0.1	1.64012	[1, 1, -1, 2, 1, 2, -3, -1, -2, 1]
misericordes	-0.5	1.36015	[0, 0, -1, 0, 0, 1, -3, 0, 1, -3]
miseries	-2.7	0.78102	[-3, -4, -1, -2, -3, -3, -2, -3, -3, -3]
miserliness	-2.6	1.0198	[-3, -1, -3, -2, -2, -1, -3, -4, -4, -3]
miserly	-1.4	0.91652	[0, -2, -2, 0, -1, -2, -2, -1, -3, -1]
misers	-1.5	0.92195	[0, -1, -1, -3, -1, -1, -2, -3, -2, -1]
misery	-2.7	0.45826	[-2, -2, -3, -3, -2, -3, -3, -3, -3, -3]
misgiving	-1.4	0.4899	[-2, -2, -2, -1, -1, -1, -2, -1, -1, -1]
misinformation	-1.3	0.64031	[-1, -1, -1, -1, -1, -1, -2, -1, -1, -3]
misinformed	-1.6	0.4899	[-1, -1, -1, -2, -2, -1, -2, -2, -2, -2]
misinterpreted	-1.3	0.64031	[-1, -2, -1, 0, -2, -1, -1, -1, -2, -2]
misleading	-1.7	0.64031	[-2, -1, -3, -1, -1, -2, -2, -2, -1, -2]
misread	-1.1	0.3	[-1, -1, -1, -2, -1, -1, -1, -1, -1, -1]
misreporting	-1.5	0.5	[-2, -1, -1, -1, -2, -1, -2, -2, -1, -2]
misrepresentation	-2.0	0.63246	[-2, -3, -2, -1, -1, -3, -2, -2, -2, -2]
miss	-0.6	1.35647	[-1, -1, -1, -1, -2, -1, 2, 2, -2, -1]
missed	-1.2	0.74833	[-2, -1, 0, -1, -1, -1, -3, -1, -1, -1]
misses	-0.9	0.3	[-1, -1, 0, -1, -1, -1, -1, -1, -1, -1]
missing	-1.2	0.4	[-1, -2, -1, -1, -1, -1, -2, -1, -1, -1]
mistakable	-0.8	0.4	[-1, -1, -1, -1, -1, -1, -1, 0, 0, -1]
mistake	-1.4	0.4899	[-1, -2, -1, -1, -1, -1, -2, -2, -2, -1]
mistaken	-1.5	0.67082	[-2, -1, -2, -2, -1, -1, -1, -3, -1, -1]
mistakenly	-1.2	0.4	[-1, -1, -2, -1, -1, -1, -1, -2, -1, -1]
mistaker	-1.6	0.4899	[-2, -1, -2, -1, -2, -2, -1, -2, -1, -2]
mistakers	-1.6	0.8	[-3, -1, -1, -1, -3, -1, -1, -2, -2, -1]
mistakes	-1.5	0.67082	[-2, -1, -2, -1, -3, -2, -1, -1, -1, -1]
mistaking	-1.1	0.53852	[-1, -1, -1, -1, 0, -1, -1, -1, -2, -2]
misunderstand	-1.5	0.67082	[-3, -2, -1, -1, -1, -1, -1, -2, -2, -1]
misunderstanding	-1.8	0.6	[-1, -1, -1, -3, -2, -2, -2, -2, -2, -2]
misunderstands	-1.3	0.45826	[-1, -2, -1, -2, -1, -1, -2, -1, -1, -1]
misunderstood	-1.4	0.66332	[-1, -1, -1, -3, -1, -1, -2, -1, -2, -1]
mlm	-1.4	1.68523	[0, -2, -2, -3, -4, -2, 0, 1, 1, -3]
mmk	0.6	1.0198	[0, 0, 0, 0, 0, 3, 1, 0, 0, 2]
moan	-0.6	1.62481	[-2, -1, 0, -3, 2, -2, 0, 0, -2, 2]
moaned	-0.4	1.35647	[-2, 0, -3, 0, -1, -1, 2, 1, 0, 0]
moaning	-0.4	1.28062	[-1, -1, 1, -1, 0, 0, 2, 0, -3, -1]
moans	-0.6	0.8	[-2, 0, 0, -2, 0, -1, 0, 0, 0, -1]
mock	-1.8	0.74833	[-3, -1, -1, -2, -2, -1, -3, -1, -2, -2]
mocked	-1.3	1.26886	[-2, -2, -1, -2, -2, -3, -2, 1, 1, -1]
mocker	-0.8	1.46969	[-1, -2, 2, -2, -2, -2, -2, 1, 1, -1]
mockeries	-1.6	0.8	[-3, -1, -2, -2, -2, 0, -1, -2, -1, -2]
mockers	-1.3	0.78102	[-2, -3, 0, -1, -1, -1, -2, -1, -1, -1]
mockery	-1.3	0.45826	[-2, -1, -1, -1, -1, -1, -2, -2, -1, -1]
mocking	-1.7	0.64031	[-2, -1, -1, -2, -1, -1, -3, -2, -2, -2]
mocks	-2.0	0.63246	[-1, -3, -2, -2, -2, -2, -2, -1, -3, -2]
molest	-2.1	1.81384	[-4, -1, -2, -4, -3, 1, -3, 1, -2, -4]
molestation	-1.9	1.57797	[-2, -2, -3, -2, -3, -2, -4, 1, 1, -3]
molestations	-2.9	1.04403	[-3, -4, -4, -4, -3, -2, -2, -1, -2, -4]
molested	-1.9	1.92094	[-4, 1, -1, -4, -2, -1, -4, -4, 1, -1]
molester	-2.3	1.61555	[-4, -2, -1, -4, -2, -1, -4, -4, 1, -2]
molesters	-2.2	1.66132	[-2, -4, -3, -3, -3, 1, 1, -3, -3, -3]
molesting	-2.8	1.72047	[-4, -4, -4, -4, -3, -4, -1, -1, 1, -4]
molests	-3.1	1.13578	[-3, -4, -4, -4, -3, -4, 0, -3, -3, -3]
mongering	-0.8	1.16619	[-3, -2, 0, 0, -1, 1, -2, 0, -1, 0]
monopolize	-0.8	1.6	[-1, -3, -2, -2, 0, -1, -1, -2, 2, 2]
monopolized	-0.9	0.53852	[0, -2, -1, 0, -1, -1, -1, -1, -1, -1]
monopolizes	-1.1	0.83066	[0, -3, -1, 0, -1, -1, -2, -1, -1, -1]
monopolizing	-0.5	1.56525	[2, -1, -2, -1, -3, -1, -1, 2, 1, -1]
mooch	-1.7	0.9	[-1, -1, -1, -3, -1, -3, -3, -2, -1, -1]
mooched	-1.4	0.4899	[-2, -1, -2, -1, -1, -2, -1, -1, -2, -1]
moocher	-1.5	0.67082	[-2, -1, -2, -1, -1, -2, -1, -1, -3, -1]
moochers	-1.9	0.7	[-3, -2, -2, -3, -1, -1, -1, -2, -2, -2]
mooches	-1.4	0.66332	[-2, -1, -2, -1, 0, -2, -1, -1, -2, -2]
mooching	-1.7	0.64031	[-3, -2, -1, -1, -2, -2, -1, -2, -1, -2]
moodier	-1.1	1.13578	[-2, -1, -1, -1, -2, -1, -2, 2, -1, -2]
moodiest	-2.1	0.9434	[-1, -2, -2, -2, -1, -2, -4, -3, -1, -3]
moodily	-1.3	0.45826	[-1, -1, -1, -1, -1, -2, -2, -1, -2, -1]
moodiness	-1.4	0.66332	[-2, -1, -2, -2, -1, 0, -2, -1, -1, -2]
moodinesses	-1.4	0.4899	[-2, -1, -1, -2, -1, -1, -1, -2, -2, -1]
moody	-1.5	0.67082	[-1, -1, -1, -2, -2, -3, -1, -1, -1, -2]
mope	-1.9	0.53852	[-2, -2, -1, -2, -2, -2, -2, -3, -1, -2]
moping	-1.0	1.48324	[-2, -2, -1, -1, 1, 2, -3, -2, 0, -2]
moron	-2.2	0.6	[-2, -1, -2, -3, -3, -2, -2, -3, -2, -2]
moronic	-2.7	0.64031	[-3, -3, -3, -3, -2, -4, -2, -3, -2, -2]
moronically	-1.4	1.8	[-4, -2, -1, 2, -2, -2, -3, -3, 0, 1]
moronity	-1.1	1.22066	[-2, -1, -2, -1, 0, -2, 2, -2, -2, -1]
morons	-1.3	1.1	[-1, -1, -1, 0, -3, -2, 0, 0, -2, -3]
motherfucker	-3.6	0.66332	[-3, -4, -4, -4, -4, -2, -4, -3, -4, -4]
motherfucking	-2.8	1.249	[-3, -1, -4, 0, -3, -3, -4, -4, -3, -3]
motivate	1.6	0.4899	[1, 1, 1, 1, 2, 2, 2, 2, 2, 2]
motivated	2.0	0.63246	[3, 3, 1, 2, 1, 2, 2, 2, 2, 2]
motivating	2.2	0.6	[2, 2, 3, 3, 3, 2, 2, 2, 1, 2]
motivation	1.4	0.66332	[1, 1, 2, 0, 2, 1, 2, 1, 2, 2]
mourn	-1.8	0.6	[-2, -2, -2, -2, -2, -1, -2, -3, -1, -1]
mourned	-1.3	1.55242	[-1, -2, -3, -3, -2, -1, 1, -2, 2, -2]
mourner	-1.6	1.35647	[-3, 0, -2, -1, -1, 0, -2, 0, -3, -4]
mourners	-1.8	0.74833	[-1, -2, -3, -1, -2, -1, -2, -1, -2, -3]
mournful	-1.6	1.62481	[-2, -3, -3, 2, -2, -3, -2, 1, -2, -2]
mournfuller	-1.9	0.9434	[-2, -3, -3, -3, 0, -2, -1, -2, -2, -1]
mournfully	-1.7	1.55242	[-4, -3, -2, -3, 1, -2, -2, -2, 1, -1]
mournfulness	-1.8	1.4	[-4, -3, 1, -3, -1, -2, 0, -2, -2, -2]
mourning	-1.9	1.04403	[-1, -1, -1, -1, -2, -3, -4, -3, -2, -1]
mourningly	-2.3	1.18743	[-3, -3, -3, -3, -2, -3, -2, 1, -2, -3]
mourns	-2.4	0.66332	[-2, -2, -3, -2, -3, -3, -3, -1, -2, -3]
muah	2.3	1.26886	[0, 3, 1, 2, 3, 1, 4, 4, 3, 2]
mumpish	-1.4	0.66332	[-1, -1, -2, -2, 0, -1, -2, -2, -1, -2]
murder	-3.7	0.64031	[-4, -4, -4, -4, -2, -4, -4, -4, -3, -4]
murdered	-3.4	0.66332	[-4, -3, -2, -3, -4, -4, -3, -3, -4, -4]
murderee	-3.2	0.6	[-3, -3, -2, -3, -4, -4, -3, -3, -4, -3]
murderees	-3.1	0.7	[-2, -4, -3, -4, -3, -2, -3, -3, -4, -3]
murderer	-3.6	0.4899	[-4, -3, -3, -3, -4, -4, -4, -3, -4, -4]
murderers	-3.3	0.78102	[-3, -4, -4, -4, -4, -2, -4, -3, -3, -2]
murderess	-2.2	1.72047	[-2, -2, -3, -4, -3, -3, -4, 1, 1, -3]
murderesses	-2.6	0.8	[-2, -4, -3, -4, -2, -2, -2, -2, -3, -2]
murdering	-3.3	0.78102	[-4, -2, -4, -3, -4, -3, -2, -4, -4, -3]
murderous	-3.2	0.74833	[-3, -3, -4, -3, -4, -4, -4, -2, -2, -3]
murderously	-3.1	0.9434	[-3, -4, -4, -4, -3, -4, -1, -2, -3, -3]
murderousness	-2.9	0.7	[-3, -3, -4, -2, -2, -2, -4, -3, -3, -3]
murders	-3.0	1.84391	[-4, -4, -4, 2, -4, -2, -4, -4, -2, -4]
n00b	-1.6	0.8	[-1, -3, -1, -2, -2, -2, -2, -2, -1, 0]
nag	-1.5	0.80623	[-1, -1, -3, -1, -3, -2, -1, -1, -1, -1]
nagana	-1.7	0.9	[-2, -2, 0, 0, -2, -3, -2, -2, -2, -2]
nagged	-1.7	0.45826	[-2, -1, -2, -1, -2, -2, -1, -2, -2, -2]
nagger	-1.8	0.4	[-2, -1, -2, -2, -2, -2, -1, -2, -2, -2]
naggers	-1.5	0.67082	[-1, -1, -2, -2, -2, -1, -1, -3, -1, -1]
naggier	-1.4	1.11355	[-2, -3, -2, -2, 1, -1, -2, -1, 0, -2]
naggiest	-2.4	0.91652	[-3, -2, -2, -1, -4, -2, -3, -3, -3, -1]
nagging	-1.7	0.64031	[-1, -1, -1, -1, -2, -2, -2, -2, -3, -2]
naggingly	-0.9	1.37477	[-2, 2, -1, -1, -1, -3, 1, -1, -1, -2]
naggy	-1.7	0.64031	[-2, -2, -1, -1, -3, -2, -1, -2, -1, -2]
nags	-1.1	0.53852	[-1, -1, -2, -1, -1, -2, -1, -1, 0, -1]
nah	-0.4	1.28062	[0, 0, 1, -1, -3, -1, 0, 2, -1, -1]
naive	-1.1	1.22066	[-2, -2, -1, 2, -1, -1, -1, -3, -1, -1]
nastic	0.2	0.6	[2, 0, 0, 0, 0, 0, 0, 0, 0, 0]
nastier	-2.3	0.45826	[-2, -2, -2, -3, -3, -2, -3, -2, -2, -2]
nasties	-2.1	0.3	[-2, -2, -2, -2, -3, -2, -2, -2, -2, -2]
nastiest	-2.4	1.85472	[-4, -4, -4, -2, -3, -2, 1, 1, -3, -4]
nastily	-1.9	0.7	[-2, -3, -1, -2, -2, -3, -1, -1, -2, -2]
nastiness	-1.1	1.44568	[-2, -2, -3, -2, 1, -1, -1, -1, 2, -2]
nastinesses	-2.6	0.66332	[-2, -3, -3, -2, -3, -3, -3, -1, -3, -3]
nasturtium	0.4	0.66332	[0, 0, 0, 0, 0, 1, 1, 0, 2, 0]
nasturtiums	0.1	0.3	[0, 0, 0, 0, 0, 0, 1, 0, 0, 0]
nasty	-2.6	1.0198	[-3, -1, -2, -4, -3, -3, -1, -2, -4, -3]
natural	1.5	1.0247	[2, 0, 0, 1, 1, 3, 2, 2, 3, 1]
neat	2.0	0.89443	[2, 1, 1, 2, 3, 1, 2, 2, 2, 4]
neaten	1.2	0.4	[1, 1, 1, 1, 1, 2, 2, 1, 1, 1]
neatened	2.0	1.09545	[0, 2, 1, 3, 1, 2, 4, 3, 2, 2]
neatening	1.3	0.45826	[1, 1, 1, 1, 2, 2, 2, 1, 1, 1]
neatens	1.1	0.83066	[0, 1, 0, 1, 1, 1, 1, 3, 2, 1]
neater	1.0	0.44721	[1, 1, 1, 1, 1, 1, 2, 0, 1, 1]
neatest	1.7	0.64031	[1, 2, 2, 1, 2, 2, 1, 2, 1, 3]
neath	0.2	0.9798	[0, 0, -2, 0, 0, 2, 0, 1, 1, 0]
neatherd	-0.4	0.8	[0, 0, 0, -2, 0, -1, 1, -1, -1, 0]
neatly	1.4	0.66332	[2, 1, 1, 2, 2, 2, 0, 1, 1, 2]
neatness	1.3	0.64031	[2, 1, 1, 0, 1, 1, 2, 2, 2, 1]
neats	1.1	0.53852	[2, 1, 2, 1, 0, 1, 1, 1, 1, 1]
needy	-1.4	0.4899	[-1, -2, -2, -2, -1, -1, -1, -1, -2, -1]
negative	-2.7	0.9	[-1, -3, -3, -2, -4, -2, -2, -4, -3, -3]
negativity	-2.3	0.45826	[-2, -2, -2, -2, -3, -2, -3, -3, -2, -2]
neglect	-2.0	0.63246	[-2, -2, -1, -1, -3, -2, -3, -2, -2, -2]
neglected	-2.4	1.0198	[-1, -2, -4, -3, -2, -2, -1, -4, -3, -2]
neglecter	-1.7	0.64031	[-2, -2, -1, -1, -1, -3, -2, -2, -1, -2]
neglecters	-1.5	0.67082	[-2, -1, -1, -1, -2, -1, -1, -2, -3, -1]
neglectful	-2.0	0.63246	[-3, -3, -1, -2, -2, -2, -1, -2, -2, -2]
neglectfully	-2.1	0.9434	[-1, -3, -3, -1, -1, -2, -2, -2, -4, -2]
neglectfulness	-2.0	0.63246	[-2, -2, -2, -2, -1, -3, -2, -2, -1, -3]
neglecting	-1.7	0.78102	[-2, -1, -3, -2, -1, -3, -1, -1, -2, -1]
neglects	-2.2	0.4	[-2, -2, -2, -2, -2, -3, -2, -3, -2, -2]
nerd	-1.2	0.6	[-1, -2, -1, -2, -1, 0, -1, -1, -2, -1]
nerdier	-0.2	0.87178	[0, 0, -1, -1, 0, -1, 2, 0, 0, -1]
nerdiest	0.6	1.28062	[2, 3, 0, -1, 1, 0, 0, -1, 2, 0]
nerdish	-0.1	1.04403	[-1, -1, 2, 0, -1, -1, 1, 0, 1, -1]
nerdy	-0.2	1.249	[-1, -1, -1, 3, 0, 0, 0, 0, -2, 0]
nerves	-0.4	0.8	[0, -1, 0, 1, -2, -1, 0, -1, 0, 0]
nervous	-1.1	0.53852	[-1, -1, -1, -2, -2, -1, -1, 0, -1, -1]
nervously	-0.6	1.56205	[-1, -1, -1, -1, -1, -2, 4, -1, -1, -1]
nervousness	-1.2	0.4	[-1, -1, -1, -1, -1, -1, -1, -2, -2, -1]
neurotic	-1.4	1.11355	[-3, -2, -2, -1, 1, -2, -2, -1, 0, -2]
neurotically	-1.8	1.16619	[0, -2, -1, -3, -3, -1, 0, -2, -3, -3]
neuroticism	-0.9	1.22066	[-2, -1, -1, -1, -2, 0, -3, 1, 1, -1]
neurotics	-0.7	1.61555	[-2, 0, -1, -2, -1, -3, 0, 2, 2, -2]
nice	1.8	0.74833	[3, 1, 1, 2, 2, 1, 3, 1, 2, 2]
nicely	1.9	0.83066	[2, 1, 2, 2, 4, 2, 1, 1, 2, 2]
niceness	1.6	0.66332	[1, 1, 3, 2, 1, 1, 2, 2, 2, 1]
nicenesses	2.1	1.22066	[4, 0, 3, 1, 2, 1, 4, 2, 2, 2]
nicer	1.9	0.53852	[2, 2, 1, 2, 3, 2, 2, 2, 1, 2]
nicest	2.2	0.87178	[1, 4, 1, 2, 2, 2, 3, 3, 2, 2]
niceties	1.5	1.20416	[1, 4, 1, 1, 2, 1, 0, 3, 2, 0]
nicety	1.2	1.07703	[1, 0, 4, 1, 1, 0, 2, 1, 1, 1]
nifty	1.7	0.64031	[2, 2, 1, 1, 1, 2, 3, 2, 2, 1]
niggas	-1.4	2.2	[-4, -3, 2, 1, -4, -2, 0, -1, 1, -4]
nigger	-3.3	1.18743	[-4, -4, -4, -4, -4, -4, -1, -3, -1, -4]
no	-1.2	0.74833	[-1, -1, -1, -1, -1, -1, 0, -1, -2, -3]
noble	2.0	0.89443	[2, 1, 2, 2, 3, 0, 2, 3, 2, 3]
noisy	-0.7	0.64031	[-2, 0, -1, -1, 0, -1, -1, 0, 0, -1]
nonsense	-1.7	0.64031	[-3, -1, -1, -1, -2, -1, -2, -2, -2, -2]
noob	-0.2	1.16619	[-2, 0, -1, 0, -1, 2, 1, 1, -1, -1]
nosey	-0.8	1.16619	[-2, -2, -2, 1, -1, -1, 0, 1, 0, -2]
notorious	-1.9	1.3	[-2, -4, -3, -2, -2, -2, -1, -1, -3, 1]
novel	1.3	0.64031	[2, 0, 1, 1, 1, 1, 2, 2, 2, 1]
numb	-1.4	0.66332	[-1, -1, -1, -1, -2, -1, -1, -3, -2, -1]
numbat	0.2	0.4	[0, 0, 0, 0, 1, 1, 0, 0, 0, 0]
numbed	-0.9	0.53852	[-1, -1, -1, -1, 0, 0, -2, -1, -1, -1]
number	0.3	0.64031	[0, 0, 1, 0, 0, 2, 0, 0, 0, 0]
numberable	0.6	0.91652	[0, 2, 0, 0, 0, 2, 2, 0, 0, 0]
numbest	-1.0	0.89443	[-2, -1, 0, 0, -3, -1, -1, -1, 0, -1]
numbfish	-0.4	0.66332	[-1, 0, 0, 0, -2, 0, 0, -1, 0, 0]
numbfishes	-0.7	0.9	[0, -1, 0, -1, -1, 0, -1, 0, 0, -3]
numbing	-1.1	0.83066	[-1, 0, -1, -1, -2, -1, -3, -1, 0, -1]
numbingly	-1.3	0.45826	[-1, -1, -2, -1, -1, -1, -2, -1, -2, -1]
numbles	0.4	0.66332	[0, 0, 0, 0, 1, 2, 0, 0, 1, 0]
numbly	-1.4	1.0198	[-3, -2, 0, -1, -1, -3, -1, -2, -1, 0]
numbness	-1.1	0.7	[-1, -1, -2, -1, -1, -2, -1, 0, -2, 0]
numbs	-0.7	1.00499	[-1, 0, -1, 0, 1, 0, -3, -1, -1, -1]
numbskull	-2.3	1.41774	[-2, -4, -3, 0, -2, -2, -4, -4, 0, -2]
numbskulls	-2.2	1.07703	[-2, -2, -4, -2, -2, -1, -3, -3, 0, -3]
nurtural	1.5	0.80623	[2, 1, 2, 2, 1, 3, 0, 1, 2, 1]
nurturance	1.6	0.8	[1, 2, 1, 1, 3, 0, 2, 2, 2, 2]
nurturances	1.3	1.55242	[0, -2, 3, 1, 1, 2, 3, 0, 2, 3]
nurturant	1.7	0.78102	[2, 1, 3, 2, 2, 2, 2, 1, 0, 2]
nurture	1.4	0.8	[3, 1, 2, 2, 1, 2, 1, 0, 1, 1]
nurtured	1.9	0.9434	[2, 1, 3, 3, 3, 1, 2, 2, 0, 2]
nurturer	1.9	0.83066	[2, 1, 3, 3, 3, 1, 2, 2, 1, 1]
nurturers	0.8	1.66132	[2, -1, 2, 2, 1, -2, -2, 2, 2, 2]
nurtures	1.9	0.83066	[2, 1, 3, 3, 3, 1, 2, 2, 1, 1]
nurturing	2.0	0.63246	[3, 3, 2, 2, 1, 2, 2, 1, 2, 2]
nuts	-1.3	1.26886	[-2, -1, -2, -3, 1, -1, 1, -2, -2, -2]
o.o	-0.8	1.07703	[-1, -1, 0, -2, -1, -1, -2, 1, -2, 1]
o/\o	2.1	1.04403	[1, 2, 3, 1, 3, 4, 1, 2, 3, 1]
o_0	-0.1	0.53852	[-1, -1, 0, 0, 0, 0, 0, 0, 1, 0]
obliterate	-2.9	0.83066	[-3, -4, -3, -3, -3, -3, -2, -1, -4, -3]
obliterated	-2.1	1.3	[-3, 0, -1, -4, -3, -2, 0, -2, -3, -3]
obnoxious	-2.0	0.44721	[-1, -2, -3, -2, -2, -2, -2, -2, -2, -2]
obnoxiously	-2.3	0.64031	[-3, -2, -1, -2, -2, -3, -2, -3, -3, -2]
obnoxiousness	-2.1	0.7	[-3, -1, -1, -2, -2, -3, -2, -2, -3, -2]
obscene	-2.8	0.87178	[-3, -3, -2, -1, -3, -4, -3, -4, -2, -3]
obsess	-1.0	0.89443	[-2, 0, -2, -1, 1, -1, -2, -1, -1, -1]
obsessed	-0.7	0.78102	[0, 0, -1, 0, -1, 0, -1, -2, -2, 0]
obsesses	-1.0	0.7746	[-2, -2, -1, -2, 0, -1, -1, -1, 0, 0]
obsessing	-1.4	0.66332	[-1, -1, -1, -2, -1, -1, -1, -3, -2, -1]
obsession	-1.4	0.8	[0, -2, -2, -1, -1, -1, -3, -1, -1, -2]
obsessional	-1.5	0.92195	[0, -2, -1, -1, -3, -1, -2, -1, -3, -1]
obsessionally	-1.3	0.9	[-1, -2, -2, -2, -2, -1, 1, -1, -1, -2]
obsessions	-0.9	1.44568	[-1, -4, -2, -1, 1, -1, 0, 1, 0, -2]
obsessive	-0.9	1.04403	[-2, 0, -1, 0, 1, -1, -3, -1, -1, -1]
obsessively	-0.4	1.2	[-1, -1, -1, -1, -1, 1, 2, -2, 1, -1]
obsessiveness	-1.2	1.32665	[0, -3, -1, -1, -1, 1, -4, -1, -1, -1]
obsessives	-0.7	0.9	[-1, -1, -1, -1, -1, 1, -2, 1, -1, -1]
obsolete	-1.2	0.74833	[-1, -1, -1, -1, -2, -1, -1, -3, -1, 0]
obstacle	-1.5	1.0247	[-1, -3, -1, -2, -2, -2, 1, -1, -2, -2]
obstacles	-1.6	0.8	[-3, -1, -2, -1, -2, -2, 0, -2, -1, -2]
obstinate	-1.2	0.74833	[-2, -1, -1, -1, 0, 0, -2, -1, -2, -2]
odd	-1.3	0.45826	[-1, -1, -2, -1, -1, -1, -2, -1, -2, -1]
offence	-1.2	1.93907	[-2, -2, -3, 3, -2, -2, -3, 2, -1, -2]
offences	-1.4	1.49666	[-2, -2, -4, -1, -2, -2, -1, 0, 2, -2]
offend	-1.2	1.4	[-2, -2, -2, -2, -1, -2, -2, 1, 2, -2]
offended	-1.0	1.41421	[-2, -2, -2, -2, -1, 0, -2, 2, 1, -2]
offender	-1.5	1.28452	[-3, -2, -2, -2, -2, -2, -2, 1, 1, -2]
offenders	-1.5	1.28452	[-2, -1, -2, -2, -2, -2, 2, -3, -2, -1]
offending	-2.3	0.64031	[-2, -2, -3, -2, -2, -4, -2, -2, -2, -2]
offends	-2.0	0.7746	[-3, -1, -1, -2, -2, -2, -3, -1, -2, -3]
offense	-1.0	1.61245	[-2, 1, -1, -2, -2, -2, -3, 2, 1, -2]
offenseless	0.7	1.79165	[3, 1, 0, 2, 1, 2, 1, 0, -4, 1]
offenses	-1.5	1.5	[-1, -2, -2, -4, -1, -2, 1, -3, 1, -2]
offensive	-2.0	1.48324	[-3, -3, -3, -2, -1, -2, 2, -2, -3, -3]
offensively	-2.8	0.87178	[-2, -4, -3, -3, -2, -4, -4, -2, -2, -2]
offensiveness	-2.3	0.45826	[-2, -2, -2, -2, -2, -3, -2, -3, -3, -2]
offensives	-0.8	1.249	[0, 0, -1, -2, 0, 2, -2, -1, -2, -2]
offline	-0.5	0.92195	[0, 0, 0, 0, -3, 0, -1, 0, -1, 0]
ok	1.2	0.4	[1, 2, 1, 1, 1, 1, 2, 1, 1, 1]
okay	0.9	0.53852	[1, 1, 0, 0, 1, 1, 1, 2, 1, 1]
okays	2.1	1.13578	[1, 1, 1, 4, 3, 2, 2, 1, 2, 4]
ominous	-1.4	1.49666	[-3, -2, -1, -2, -2, -1, -1, 1, 1, -4]
once-in-a-lifetime	1.8	1.4	[4, 2, 1, 0, 1, 1, 4, 3, 2, 0]
openness	1.4	0.8	[2, 1, 1, 2, 2, 1, 1, 1, 3, 0]
opportune	1.7	0.78102	[2, 2, 0, 1, 2, 3, 2, 2, 1, 2]
opportunely	1.5	1.0247	[1, 1, 4, 1, 2, 1, 1, 2, 2, 0]
opportuneness	1.2	1.249	[0, 1, 2, 2, 2, 2, 2, 2, -2, 1]
opportunism	0.4	1.11355	[-1, -1, 0, -1, 1, 2, 0, 1, 2, 1]
opportunisms	0.2	1.4	[2, -1, 0, -1, 1, -2, 2, 2, -1, 0]
opportunist	0.2	0.9798	[-1, -1, 0, -1, 0, 2, 0, 1, 1, 1]
opportunistic	-0.1	2.11896	[-2, 1, -1, 0, -4, 2, -1, 4, 1, -1]
opportunistically	0.9	1.51327	[1, -3, 1, 3, 2, 2, 1, 0, 1, 1]
opportunists	0.3	1.34536	[0, -1, -1, 2, 1, 3, -1, -1, 1, 0]
opportunities	1.6	0.4899	[1, 1, 2, 2, 2, 1, 2, 2, 1, 2]
opportunity	1.8	0.6	[2, 2, 2, 2, 3, 1, 2, 1, 1, 2]
oppressed	-2.1	0.53852	[-2, -2, -2, -1, -2, -2, -3, -2, -2, -3]
oppressive	-1.7	1.34536	[-3, -2, -1, -2, -2, -2, -3, 2, -2, -2]
optimal	1.5	0.67082	[1, 2, 1, 3, 1, 1, 1, 2, 2, 1]
optimality	1.9	0.7	[3, 3, 2, 1, 2, 1, 2, 2, 1, 2]
optimally	1.3	0.9	[0, 3, 0, 1, 1, 2, 1, 1, 2, 2]
optimisation	1.6	0.8	[3, 1, 1, 1, 2, 1, 1, 3, 2, 1]
optimisations	1.8	0.6	[3, 1, 1, 2, 1, 2, 2, 2, 2, 2]
optimise	1.9	0.83066	[1, 2, 3, 2, 3, 3, 2, 1, 1, 1]
optimised	1.7	1.26886	[2, 4, 1, 2, 1, 2, 3, 2, 1, -1]
optimises	1.6	1.0198	[3, 1, 1, 1, 1, 3, 2, 0, 3, 1]
optimising	1.7	1.00499	[1, 2, 3, 3, 1, 2, 1, 3, 0, 1]
optimism	2.5	0.67082	[2, 2, 3, 3, 3, 4, 2, 2, 2, 2]
optimisms	2.0	0.63246	[2, 3, 1, 3, 1, 2, 2, 2, 2, 2]
optimist	2.4	0.4899	[3, 2, 3, 2, 3, 3, 2, 2, 2, 2]
optimistic	1.3	1.48661	[2, 2, -3, 2, 2, 2, 1, 2, 1, 2]
optimistically	2.1	0.53852	[3, 2, 2, 2, 3, 2, 1, 2, 2, 2]
optimists	1.6	0.66332	[3, 2, 2, 1, 2, 1, 2, 1, 1, 1]
optimization	1.6	0.8	[2, 3, 1, 1, 1, 2, 0, 2, 2, 2]
optimizations	0.9	1.04403	[0, 2, 0, 2, 1, 0, 3, 1, 0, 0]
optimize	2.2	0.87178	[2, 3, 3, 2, 1, 2, 4, 2, 2, 1]
optimized	2.0	0.44721	[1, 3, 2, 2, 2, 2, 2, 2, 2, 2]
optimizer	1.5	0.67082	[1, 3, 1, 1, 2, 2, 1, 2, 1, 1]
optimizers	2.1	0.7	[3, 3, 1, 3, 2, 2, 1, 2, 2, 2]
optimizes	1.8	0.6	[1, 3, 2, 1, 2, 2, 1, 2, 2, 2]
optimizing	2.0	0.7746	[1, 1, 2, 2, 1, 3, 3, 3, 2, 2]
optionless	-1.7	0.64031	[-2, -1, -2, -3, -1, -2, -2, -2, -1, -1]
original	1.3	0.9	[0, 2, 0, 2, 2, 0, 2, 1, 2, 2]
outcry	-2.3	0.64031	[-3, -2, -2, -3, -2, -1, -3, -2, -2, -3]
outgoing	1.2	1.16619	[1, 1, 1, 2, -1, 1, 3, 3, 0, 1]
outmaneuvered	0.5	1.36015	[-2, 2, 0, 0, 3, 1, 1, 0, 1, -1]
outrage	-2.3	1.00499	[-2, -2, -4, -3, -1, -3, -3, -1, -1, -3]
outraged	-2.5	0.92195	[-3, -2, -2, -1, -3, -3, -1, -4, -3, -3]
outrageous	-2.0	1.34164	[-3, 0, -2, -1, -3, 0, -3, -3, -4, -1]
outrageously	-1.2	1.32665	[-1, -1, -3, -3, -2, -1, 2, -1, -1, -1]
outrageousness	-1.2	1.249	[-2, 0, 1, -2, -1, -1, -3, 0, -1, -3]
outrageousnesses	-1.3	1.67631	[-1, -3, -2, 1, 0, 1, 0, -3, -2, -4]
outrages	-2.3	1.00499	[-3, -2, -2, -1, -3, -3, -1, -4, -1, -3]
outraging	-2.0	1.18322	[-4, -1, -2, -3, -1, 0, -1, -3, -3, -2]
outreach	1.1	0.7	[2, 1, 0, 0, 2, 1, 1, 1, 2, 1]
outstanding	3.0	0.89443	[3, 1, 3, 3, 4, 4, 2, 3, 4, 3]
overjoyed	2.7	0.78102	[4, 3, 3, 4, 2, 2, 2, 2, 3, 2]
overload	-1.5	0.67082	[-2, 0, -1, -2, -2, -1, -1, -2, -2, -2]
overlooked	-0.1	1.44568	[-1, -2, -1, -1, 2, 0, -1, 2, -1, 2]
overreact	-1.0	1.73205	[-2, -2, -2, -2, 0, -3, 1, 3, -1, -2]
overreacted	-1.7	0.64031	[-2, -2, -2, -1, -1, -1, -1, -3, -2, -2]
overreaction	-0.7	1.34536	[-2, -1, 0, -1, -1, 3, -2, -1, -1, -1]
overreacts	-2.2	0.87178	[-2, -2, -2, -3, -4, -1, -3, -1, -2, -2]
oversell	-0.9	0.7	[0, -1, -1, 0, -2, -1, -1, -1, -2, 0]
overselling	-0.8	1.16619	[0, -1, 0, -1, -2, -1, -1, -2, -2, 2]
oversells	0.3	1.26886	[-1, -1, 0, 0, 2, 2, 2, -1, 1, -1]
oversimplification	0.2	1.53623	[-1, 1, -1, -1, 1, -1, -2, 1, 2, 3]
oversimplifies	0.1	1.37477	[3, 0, 0, -1, 1, -1, 2, -1, -1, -1]
oversimplify	-0.6	1.35647	[-3, -1, 0, -2, 0, 1, 2, -1, -1, -1]
overstatement	-1.1	0.7	[-2, 0, -1, -2, -1, 0, -1, -1, -2, -1]
overstatements	-0.7	1.34536	[-1, -1, -3, -1, 2, 0, -1, -1, -2, 1]
overweight	-1.5	0.67082	[-3, -2, -1, -1, -1, -2, -1, -2, -1, -1]
overwhelm	-0.7	1.26886	[-1, 2, -1, -1, -2, -2, 1, 0, -1, -2]
overwhelmed	0.2	1.53623	[-2, -1, 2, -2, 2, 1, -1, 2, 1, 0]
overwhelmingly	-0.5	1.28452	[0, -2, -1, 0, -2, -1, -2, 0, 1, 2]
overwhelms	-0.8	1.249	[-2, -2, -1, -1, -1, -2, 2, 1, -1, -1]
oxymoron	-0.5	0.80623	[0, 0, -1, -1, -1, -2, 1, 0, 0, -1]
pain	-2.3	0.64031	[-2, -3, -2, -2, -2, -2, -2, -2, -2, -4]
pained	-1.8	0.6	[-1, -2, -3, -2, -2, -2, -2, -1, -1, -2]
painful	-1.9	0.9434	[-2, -1, -1, -3, -4, -1, -1, -2, -2, -2]
painfuller	-1.7	1.34536	[-2, -2, -2, 2, -1, -3, -2, -2, -3, -2]
painfully	-2.4	0.4899	[-2, -3, -2, -3, -3, -2, -2, -2, -2, -3]
painfulness	-2.7	0.64031	[-3, -4, -3, -2, -3, -3, -3, -2, -2, -2]
paining	-1.7	0.45826	[-1, -2, -2, -2, -2, -2, -1, -2, -1, -2]
painless	1.2	0.87178	[1, 2, -1, 1, 2, 1, 2, 1, 2, 1]
painlessly	1.1	0.3	[1, 1, 1, 1, 1, 1, 1, 1, 1, 2]
painlessness	0.4	1.0198	[1, 1, 1, 1, -1, 1, -2, 0, 1, 1]
pains	-1.8	0.6	[-2, -2, -1, -1, -1, -2, -2, -2, -3, -2]
palatable	1.6	0.8	[2, 1, 2, 1, 2, 1, 3, 0, 2, 2]
palatableness	0.8	0.87178	[2, 1, 1, 0, -1, 2, 0, 1, 1, 1]
palatably	1.1	0.83066	[2, 1, 2, 1, 1, 1, 2, -1, 1, 1]
panic	-2.3	0.64031	[-3, -2, -1, -2, -2, -2, -3, -3, -2, -3]
panicked	-2.0	1.61245	[-2, -4, -3, -3, -3, 1, -2, -2, 1, -3]
panicking	-1.9	0.53852	[-2, -2, -3, -2, -2, -2, -2, -2, -1, -1]
panicky	-1.5	0.67082	[-2, -2, -1, -1, -1, -1, -1, -2, -3, -1]
panicle	0.5	0.67082	[2, 0, 0, 0, 0, 0, 0, 1, 1, 1]
panicled	0.1	0.83066	[2, 0, 0, 0, 0, -1, 0, -1, 1, 0]
panicles	-0.2	0.6	[1, 0, 0, 0, 0, -1, 0, -1, -1, 0]
panics	-1.9	1.3	[-2, -3, -2, -3, -1, -2, 1, -4, -1, -2]
paniculate	0.1	0.3	[0, 0, 0, 1, 0, 0, 0, 0, 0, 0]
panicums	-0.1	0.3	[0, 0, 0, 0, -1, 0, 0, 0, 0, 0]
paradise	3.2	0.9798	[4, 1, 4, 2, 4, 4, 3, 3, 3, 4]
paradox	-0.4	0.66332	[-1, -1, 0, 0, -1, 0, -1, 0, 1, -1]
paranoia	-1.0	1.48324	[1, -2, -2, -3, -1, 0, -2, -1, -2, 2]
paranoiac	-1.3	1.61555	[-2, -3, -2, -2, 1, -3, 2, -2, 0, -2]
paranoiacs	-0.7	1.18743	[-1, 0, -1, -1, -3, 1, -2, 0, 1, -1]
paranoias	-1.5	1.0247	[-2, -3, -2, 0, -1, -3, 0, -1, -1, -2]
paranoid	-1.0	1.41421	[0, -3, -3, -2, -1, -1, 0, 1, -2, 1]
paranoids	-1.6	0.91652	[-2, -1, -1, -2, -2, -1, -1, -1, -4, -1]
pardon	1.3	0.45826	[1, 2, 1, 2, 1, 2, 1, 1, 1, 1]
pardoned	0.9	0.9434	[1, 1, 1, 1, 1, 1, 1, 0, 3, -1]
pardoning	1.7	0.78102	[3, 2, 2, 2, 1, 1, 2, 2, 0, 2]
pardons	1.2	0.6	[2, 1, 1, 1, 1, 2, 1, 2, 0, 1]
parley	-0.4	0.66332	[0, -2, 0, 0, -1, -1, 0, 0, 0, 0]
partied	1.4	1.11355	[2, 3, 1, 1, 1, 2, 3, -1, 1, 1]
partier	1.4	0.8	[2, 2, 1, 1, 0, 2, 3, 1, 1, 1]
partiers	0.7	1.00499	[0, 0, 3, 0, 0, 0, 2, 1, 0, 1]
parties	1.7	0.78102	[2, 3, 1, 1, 1, 2, 3, 1, 2, 1]
party	1.7	0.78102	[3, 2, 2, 1, 3, 2, 1, 1, 1, 1]
partyer	1.2	1.07703	[1, 3, 1, 0, 1, 0, 2, 1, 3, 0]
partyers	1.1	0.83066	[1, 2, 0, 3, 1, 1, 1, 0, 1, 1]
partying	1.6	1.11355	[0, 3, 1, 0, 3, 2, 3, 1, 2, 1]
passion	2.0	0.44721	[2, 2, 1, 3, 2, 2, 2, 2, 2, 2]
passional	1.6	0.8	[2, 1, 3, 0, 2, 1, 1, 2, 2, 2]
passionate	2.4	1.35647	[0, 4, 3, 3, 4, 2, 0, 2, 3, 3]
passionately	2.4	0.91652	[3, 0, 3, 3, 2, 3, 2, 3, 2, 3]
passionateness	2.3	0.64031	[1, 3, 2, 3, 2, 3, 2, 3, 2, 2]
passionflower	0.3	0.45826	[0, 0, 0, 0, 1, 0, 1, 1, 0, 0]
passionflowers	0.4	0.66332	[0, 0, 0, 0, 2, 1, 1, 0, 0, 0]
passionless	-1.9	0.7	[-3, -2, -2, -2, -1, -1, -1, -3, -2, -2]
passions	2.2	0.6	[3, 3, 3, 2, 2, 1, 2, 2, 2, 2]
passive	0.8	1.46969	[4, 1, 1, 0, -2, 0, 1, 1, 2, 0]
passively	-0.7	0.64031	[0, -1, 0, 0, -1, -2, 0, -1, -1, -1]
pathetic	-2.7	1.48661	[-3, -4, -3, -4, -2, 1, -2, -2, -4, -4]
pathetical	-1.2	1.249	[-2, -1, -2, -1, -2, 1, -3, 1, -1, -2]
pathetically	-1.8	1.72047	[-3, -4, -2, 0, -3, -2, -3, -3, 1, 1]
pay	-0.4	0.91652	[0, 0, -3, 0, 0, 0, 0, 0, -1, 0]
peace	2.5	1.0247	[3, 2, 1, 4, 2, 3, 4, 1, 3, 2]
peaceable	1.7	0.45826	[2, 2, 1, 2, 1, 2, 2, 1, 2, 2]
peaceableness	1.8	1.16619	[2, 2, 4, 2, 2, 2, 2, 1, 2, -1]
peaceably	2.0	0.63246	[2, 3, 2, 2, 1, 2, 3, 1, 2, 2]
peaceful	2.2	0.74833	[4, 2, 1, 2, 2, 2, 3, 2, 2, 2]
peacefuller	1.9	0.7	[2, 2, 2, 1, 3, 3, 2, 2, 1, 1]
peacefullest	3.1	0.7	[3, 3, 2, 3, 4, 2, 4, 3, 4, 3]
peacefully	2.4	0.66332	[3, 2, 2, 2, 4, 2, 2, 3, 2, 2]
peacefulness	2.1	0.83066	[3, 2, 1, 2, 3, 1, 3, 3, 1, 2]
peacekeeper	1.6	1.11355	[1, 1, 0, 2, 1, 1, 4, 3, 2, 1]
peacekeepers	1.6	1.11355	[4, 1, 1, 2, 1, 1, 2, 3, 0, 1]
peacekeeping	2.0	0.63246	[2, 1, 1, 2, 3, 3, 2, 2, 2, 2]
peacekeepings	1.6	0.8	[0, 1, 1, 2, 2, 3, 2, 2, 2, 1]
peacemaker	2.0	0.89443	[2, 1, 2, 4, 2, 2, 1, 3, 1, 2]
peacemakers	2.4	1.0198	[0, 3, 4, 2, 3, 2, 3, 3, 2, 2]
peacemaking	1.7	0.78102	[1, 1, 1, 3, 3, 1, 2, 2, 2, 1]
peacenik	0.8	0.87178	[1, 1, 0, 1, 2, 0, 1, 1, -1, 2]
peaceniks	0.7	1.00499	[2, 0, 0, 1, 0, 2, 1, -1, 2, 0]
peaces	2.1	0.83066	[2, 2, 2, 2, 3, 0, 3, 3, 2, 2]
peacetime	2.2	1.16619	[3, 1, 4, 2, 4, 3, 1, 1, 2, 1]
peacetimes	2.1	0.83066	[3, 2, 2, 4, 1, 2, 2, 2, 1, 2]
peculiar	0.6	1.2	[-1, 0, -1, 1, 2, -1, 2, 1, 2, 1]
peculiarities	0.1	1.37477	[-1, -1, 0, -1, -1, 1, 3, 2, -1, 0]
peculiarity	0.6	1.2	[-1, 1, -1, 0, 2, -1, 1, 2, 2, 1]
peculiarly	-0.4	1.2	[-1, 2, -2, -1, 0, 0, -2, 1, -1, 0]
penalty	-2.0	0.63246	[-2, -3, -2, -2, -1, -2, -3, -2, -2, -1]
pensive	0.3	1.1	[1, 0, 0, 1, 0, -1, 3, 0, -1, 0]
perfect	2.7	0.78102	[2, 4, 2, 3, 4, 2, 3, 2, 3, 2]
perfecta	1.4	1.42829	[1, 0, 0, 3, 1, 0, 0, 4, 3, 2]
perfectas	0.6	1.11355	[0, 0, -1, 1, 0, 2, 3, 0, 1, 0]
perfected	2.7	0.78102	[1, 3, 3, 4, 2, 3, 3, 2, 3, 3]
perfecter	1.8	0.9798	[2, 1, 3, 1, 2, 1, 2, 4, 1, 1]
perfecters	1.4	1.11355	[2, 1, 3, 0, 0, 3, 2, 0, 1, 2]
perfectest	3.1	1.04403	[2, 4, 4, 4, 3, 2, 1, 3, 4, 4]
perfectibilities	2.1	1.04403	[3, 2, 2, 3, 4, 1, 2, 2, 0, 2]
perfectibility	1.8	1.249	[4, 3, 3, 0, 1, 0, 1, 2, 2, 2]
perfectible	1.5	0.67082	[1, 2, 1, 1, 2, 1, 1, 3, 2, 1]
perfecting	2.3	0.9	[1, 2, 3, 3, 1, 2, 2, 4, 2, 3]
perfection	2.7	1.1	[3, 3, 3, 1, 2, 4, 4, 1, 2, 4]
perfectionism	1.3	1.26886	[3, -1, 2, 1, 2, 2, 2, -1, 1, 2]
perfectionist	1.5	1.20416	[3, -1, 3, 1, 2, 2, 2, 0, 1, 2]
perfectionistic	0.7	1.67631	[-1, 0, 2, 0, 1, 0, 3, -1, 4, -1]
perfectionists	0.1	1.22066	[1, -1, 1, -1, 0, 0, -1, 0, 3, -1]
perfections	2.5	1.43178	[2, 4, 4, 3, 3, 4, -1, 2, 2, 2]
perfective	1.2	0.87178	[1, 0, 1, 1, 3, 2, 2, 0, 1, 1]
perfectively	2.1	1.13578	[3, 3, 1, 4, 0, 2, 1, 2, 2, 3]
perfectiveness	0.9	1.51327	[-2, 3, -1, 0, 2, 0, 2, 2, 2, 1]
perfectives	0.9	0.83066	[0, 2, 1, 1, 1, 0, 2, 0, 2, 0]
perfectivity	2.2	0.9798	[3, 2, 0, 3, 1, 2, 3, 3, 2, 3]
perfectly	3.2	0.4	[3, 4, 4, 3, 3, 3, 3, 3, 3, 3]
perfectness	3.0	0.63246	[4, 3, 3, 3, 3, 2, 4, 2, 3, 3]
perfecto	1.3	1.34536	[1, 0, 0, 2, 0, 0, 1, 4, 3, 2]
perfects	1.6	1.11355	[1, 1, 1, 2, 1, 0, 1, 4, 3, 2]
peril	-1.7	1.67631	[-3, -2, -2, 3, -3, -2, -3, -2, -1, -2]
perjury	-1.9	0.9434	[-3, -2, -3, -2, -2, 0, -1, -2, -3, -1]
perpetrator	-2.2	0.74833	[-2, -3, -2, -2, -2, -2, -4, -2, -1, -2]
perpetrators	-1.0	1.67332	[-1, -2, -2, -2, -2, 2, 0, -4, 1, 0]
perplexed	-1.3	0.64031	[-1, -1, -2, -1, -1, -1, 0, -2, -2, -2]
persecute	-2.1	1.37477	[-2, -3, -2, 1, -1, -4, -2, -2, -2, -4]
persecuted	-1.3	1.61555	[-2, -1, -2, -1, -2, 2, -4, 1, -2, -2]
persecutes	-1.2	1.4	[-2, -1, -2, 0, -2, 1, -3, 1, -1, -3]
persecuting	-1.5	1.62788	[-3, -2, -2, 0, -4, -3, -2, -1, 1, 1]
perturbed	-1.4	0.8	[-2, -1, -1, 0, -2, -2, -2, 0, -2, -2]
perverse	-1.8	1.8868	[-2, -4, -3, 1, -2, -4, 1, 0, -1, -4]
perversely	-2.2	0.87178	[-1, -2, -2, -2, -1, -3, -2, -3, -4, -2]
perverseness	-2.1	1.22066	[-3, -3, 1, -2, -3, -2, -3, -2, -1, -3]
perversenesses	-0.5	1.74642	[-2, 3, -1, -2, 1, 0, 1, 0, -2, -3]
perversion	-1.3	1.34536	[-3, -2, -2, 1, 1, -3, -1, -2, -1, -1]
perversions	-1.2	1.83303	[-2, 0, -4, -2, -3, -3, 0, 1, -1, 2]
perversities	-1.1	1.22066	[-2, -1, -2, 0, -2, -2, -2, 1, 1, -2]
perversity	-2.6	0.8	[-2, -3, -2, -2, -4, -3, -3, -1, -3, -3]
perversive	-2.1	0.7	[-3, -1, -3, -2, -2, -2, -2, -1, -3, -2]
pervert	-2.3	0.9	[-2, -2, -1, -3, -4, -2, -3, -1, -3, -2]
perverted	-2.5	1.56525	[-2, -4, -2, -4, -3, -4, 1, -2, -1, -4]
pervertedly	-1.2	1.77764	[-3, -2, -1, -2, 2, -3, 1, -3, 1, -2]
pervertedness	-1.2	1.46969	[1, -2, -3, -2, 0, -2, -3, 1, 0, -2]
perverter	-1.7	1.48661	[-3, -4, -2, -2, -1, -1, 2, -2, -2, -2]
perverters	-0.6	1.68523	[-2, -2, -1, 0, -1, 2, -3, 1, 2, -2]
perverting	-1.0	2.09762	[4, -2, -2, -4, -2, 1, 0, -1, -2, -2]
perverts	-2.8	0.6	[-3, -3, -2, -3, -3, -2, -2, -4, -3, -3]
pesky	-1.2	0.4	[-1, -2, -1, -1, -1, -1, -2, -1, -1, -1]
pessimism	-1.5	1.36015	[-2, -3, 1, -2, -2, -1, 1, -3, -2, -2]
pessimisms	-2.0	1.0	[-3, -1, -2, -2, -3, -1, 0, -2, -3, -3]
pessimist	-1.5	1.36015	[-1, -3, 1, -2, -2, -2, 1, -3, -2, -2]
pessimistic	-1.5	1.43178	[-3, -1, -1, 1, -3, -3, -2, -2, -2, 1]
pessimistically	-2.0	1.0	[-1, -1, -3, -4, -2, -1, -1, -3, -2, -2]
pessimists	-1.0	1.26491	[-1, 1, -1, 0, -2, -2, -2, -3, -1, 1]
petrifaction	-1.9	1.3	[-3, -2, -1, -4, -3, 0, -1, 0, -2, -3]
petrifactions	-0.3	1.00499	[0, -1, 0, 0, 0, 0, 0, 0, -3, 1]
petrification	-0.1	1.44568	[-1, 2, -1, -1, 0, 2, 2, -2, -1, -1]
petrifications	-0.4	0.8	[0, 0, -2, 0, 0, 0, 0, 0, -2, 0]
petrified	-2.5	0.92195	[-4, -3, -2, -1, -2, -3, -2, -2, -2, -4]
petrifies	-2.3	1.00499	[-4, -3, -2, -1, -2, -2, -1, -2, -2, -4]
petrify	-1.7	0.9	[-2, -3, -1, -2, -1, -1, -2, -3, 0, -2]
petrifying	-2.6	0.8	[-2, -3, -3, -2, -4, -2, -3, -1, -3, -3]
pettier	-0.3	1.41774	[-1, -1, -1, -1, 2, 0, 2, -2, 1, -2]
pettiest	-1.3	1.95192	[1, -3, -3, -3, -2, -1, 2, -1, 1, -4]
petty	-0.8	1.32665	[1, -3, -2, -1, -1, -1, -1, -1, 2, -1]
phobia	-1.6	1.0198	[-2, -2, 1, -2, -3, -1, -1, -2, -2, -2]
phobias	-2.0	1.0	[-3, -2, -2, -3, -3, 0, -1, -2, -1, -3]
phobic	-1.2	1.16619	[-2, -2, 1, -1, -2, -1, 1, -2, -2, -2]
phobics	-1.3	0.64031	[-1, -1, -1, -2, -2, -1, 0, -2, -2, -1]
picturesque	1.6	1.11355	[4, 1, 1, 2, 1, 2, 1, 0, 3, 1]
pileup	-1.1	1.13578	[-2, 1, 0, -1, 0, -1, -3, -2, -2, -1]
pique	-1.1	1.13578	[-2, -2, -2, 0, 0, -1, 1, -1, -1, -3]
piqued	0.1	1.04403	[0, -2, 0, 1, 1, 1, -1, 1, -1, 1]
piss	-1.7	0.9	[-2, -1, -1, -2, -1, -3, -3, 0, -2, -2]
pissant	-1.5	1.5	[-1, -3, -3, 1, -3, -1, -1, -2, 1, -3]
pissants	-2.5	0.80623	[-4, -3, -3, -2, -3, -1, -2, -3, -2, -2]
pissed	-3.2	0.6	[-3, -3, -4, -3, -2, -4, -4, -3, -3, -3]
pisser	-2.0	1.09545	[-2, -4, -1, -3, -2, -3, -1, -2, -2, 0]
pissers	-1.4	2.00998	[-1, -1, -4, -2, -3, 4, -2, -1, -2, -2]
pisses	-1.4	0.8	[-2, -2, -1, -3, -1, -1, -1, -2, -1, 0]
pissing	-1.7	1.26886	[0, 0, -2, -2, -3, 0, -3, -1, -3, -3]
pissoir	-0.8	1.4	[-2, 0, 0, -2, -1, -3, 0, -2, 0, 2]
piteous	-1.2	1.46969	[-2, -1, -2, -2, -2, -1, 3, -1, -2, -2]
pitiable	-1.1	1.22066	[-1, 0, -1, -1, 1, -2, -4, -1, -1, -1]
pitiableness	-1.1	1.64012	[-2, -1, -1, -2, -4, 2, 1, 0, -2, -2]
pitiably	-1.1	0.9434	[-1, 0, 0, -2, 0, -2, -3, -1, -1, -1]
pitied	-1.3	1.1	[-2, -1, -3, -1, 1, 0, -2, -2, -1, -2]
pitier	-1.2	1.32665	[-3, -1, -2, -3, -1, -1, 1, 1, -2, -1]
pitiers	-1.3	0.9	[0, -1, -2, -2, -1, -1, -1, -3, -2, 0]
pities	-1.2	1.249	[-2, -1, -2, -3, -1, -1, 1, 1, -2, -2]
pitiful	-2.2	0.9798	[-3, -2, -1, -3, -2, -2, -3, -3, -3, 0]
pitifuller	-1.8	1.07703	[-1, -1, -2, -3, -4, 0, -2, -2, -1, -2]
pitifullest	-1.1	2.11896	[-2, 1, -1, -4, -4, -1, -3, -1, 2, 2]
pitifully	-1.2	1.249	[-2, -1, -3, -2, -1, -1, -2, -1, 2, -1]
pitifulness	-1.2	1.77764	[-3, -2, -1, -3, -2, -1, 3, 1, -2, -2]
pitiless	-1.8	0.87178	[-2, 0, -2, -2, -2, -3, -1, -3, -1, -2]
pitilessly	-2.1	0.7	[-2, -2, -1, -3, -3, -1, -3, -2, -2, -2]
pitilessness	-0.5	1.62788	[1, 3, 1, -3, -2, -1, -1, -1, -1, -1]
pity	-1.2	0.4	[-2, -2, -1, -1, -1, -1, -1, -1, -1, -1]
pitying	-1.4	0.91652	[-1, -3, -1, -3, -2, -1, 0, -1, -1, -1]
pityingly	-1.0	1.26491	[-2, -2, -1, -2, -2, 0, 0, -1, 2, -2]
pityriasis	-0.8	0.87178	[-2, 0, 0, 0, -1, 0, -2, -1, -2, 0]
play	1.4	1.0198	[2, 0, 1, 1, 1, 2, 1, 4, 1, 1]
played	1.4	1.42829	[2, 1, 1, 1, 4, 0, 1, 0, 4, 0]
playful	1.9	0.83066	[4, 2, 2, 2, 1, 1, 1, 2, 2, 2]
playfully	1.6	0.4899	[2, 1, 1, 2, 1, 2, 2, 2, 1, 2]
playfulness	1.2	0.87178	[2, 1, 2, -1, 1, 2, 1, 2, 1, 1]
playing	0.8	0.87178	[0, 2, 2, 1, 0, 0, 2, 0, 0, 1]
plays	1.0	1.09545	[0, 2, 0, 2, 0, 1, 0, 2, 3, 0]
pleasant	2.3	0.64031	[2, 3, 3, 3, 2, 1, 2, 2, 3, 2]
pleasanter	1.5	0.67082	[2, 2, 2, 1, 0, 1, 1, 2, 2, 2]
pleasantest	2.6	0.8	[3, 3, 3, 1, 2, 4, 3, 2, 2, 3]
pleasantly	2.1	0.53852	[1, 2, 3, 2, 2, 2, 2, 2, 3, 2]
pleasantness	2.3	0.9	[3, 2, 3, 3, 3, 1, 1, 3, 1, 3]
pleasantnesses	2.3	0.78102	[3, 1, 2, 3, 1, 2, 3, 3, 2, 3]
pleasantries	1.3	0.45826	[1, 1, 1, 1, 1, 2, 1, 2, 2, 1]
pleasantry	2.0	0.7746	[2, 2, 1, 1, 4, 2, 2, 2, 2, 2]
please	1.3	0.78102	[2, 1, 2, 2, 2, 0, 2, 1, 0, 1]
pleased	1.9	0.53852	[2, 2, 2, 2, 1, 1, 2, 3, 2, 2]
pleaser	1.7	0.45826	[2, 2, 2, 2, 1, 1, 1, 2, 2, 2]
pleasers	1.0	1.0	[1, 1, 2, 0, 1, 3, 1, 1, -1, 1]
pleases	1.7	0.45826	[2, 1, 2, 2, 1, 1, 2, 2, 2, 2]
pleasing	2.4	0.91652	[2, 3, 2, 2, 2, 2, 4, 4, 1, 2]
pleasurability	1.9	0.83066	[1, 2, 2, 2, 2, 0, 2, 3, 3, 2]
pleasurable	2.4	0.4899	[2, 3, 3, 2, 3, 3, 2, 2, 2, 2]
pleasurableness	2.4	0.91652	[2, 3, 2, 1, 2, 3, 4, 3, 1, 3]
pleasurably	2.6	0.4899	[2, 2, 2, 3, 3, 3, 3, 2, 3, 3]
pleasure	2.7	0.9	[4, 4, 3, 2, 2, 3, 2, 1, 3, 3]
pleasured	2.3	0.64031	[3, 2, 3, 2, 3, 3, 1, 2, 2, 2]
pleasureless	-1.6	0.8	[-1, -1, -1, -1, -2, -3, -3, -2, -1, -1]
pleasures	1.9	1.37477	[3, -2, 3, 2, 3, 2, 2, 2, 2, 2]
pleasuring	2.8	0.4	[3, 2, 3, 3, 3, 3, 3, 2, 3, 3]
poised	1.0	0.44721	[1, 1, 1, 1, 1, 1, 0, 1, 1, 2]
poison	-2.5	0.92195	[-4, -3, -2, -4, -2, -2, -2, -3, -1, -2]
poisoned	-2.2	0.9798	[-4, -1, -4, -1, -2, -2, -2, -2, -2, -2]
poisoner	-2.7	0.78102	[-2, -3, -3, -4, -4, -2, -2, -2, -2, -3]
poisoners	-3.1	0.83066	[-3, -4, -3, -4, -3, -4, -3, -3, -1, -3]
poisoning	-2.8	1.249	[-4, -4, -2, 0, -2, -3, -4, -3, -2, -4]
poisonings	-2.4	1.11355	[-2, 0, -2, -1, -4, -3, -3, -3, -3, -3]
poisonous	-2.7	0.78102	[-3, -3, -4, -2, -1, -3, -3, -3, -3, -2]
poisonously	-2.9	0.53852	[-3, -2, -3, -3, -2, -3, -3, -4, -3, -3]
poisons	-2.7	0.9	[-3, -4, -3, -1, -2, -3, -3, -2, -2, -4]
poisonwood	-1.0	0.89443	[0, -2, 0, 0, 0, -1, -2, -2, -2, -1]
pollute	-2.3	0.64031	[-3, -2, -2, -2, -2, -3, -3, -1, -3, -2]
polluted	-2.0	0.44721	[-2, -2, -1, -2, -2, -2, -2, -2, -3, -2]
polluter	-1.8	0.6	[-2, -1, -2, -1, -2, -2, -3, -1, -2, -2]
polluters	-2.0	0.44721	[-2, -2, -2, -2, -2, -3, -2, -1, -2, -2]
pollutes	-2.2	0.87178	[-2, -1, -2, -1, -3, -1, -3, -3, -3, -3]
poor	-2.1	1.13578	[-2, -2, -1, -4, -2, 0, -2, -4, -2, -2]
poorer	-1.5	1.56525	[-2, -3, -2, -2, -2, -2, 3, -2, -1, -2]
poorest	-2.5	0.80623	[-2, -3, -3, -1, -2, -3, -3, -4, -2, -2]
popular	1.8	0.74833	[2, 3, 1, 2, 2, 1, 3, 1, 2, 1]
popularise	1.6	0.66332	[1, 1, 2, 2, 3, 2, 1, 2, 1, 1]
popularised	1.1	0.9434	[1, 1, 0, 0, 3, 2, 1, 2, 1, 0]
popularises	0.5	0.67082	[1, 0, 0, 0, 0, 1, 1, 2, 0, 0]
popularising	1.2	0.6	[1, 0, 2, 2, 1, 1, 1, 2, 1, 1]
popularities	1.6	0.8	[2, 1, 1, 2, 0, 2, 1, 2, 3, 2]
popularity	2.1	1.04403	[2, 1, 1, 1, 3, 2, 3, 4, 3, 1]
popularization	1.3	0.78102	[1, 2, 1, 2, 1, 0, 1, 1, 3, 1]
popularizations	0.9	0.7	[1, 1, 1, 0, 2, 0, 1, 1, 2, 0]
popularize	1.3	0.64031	[2, 2, 0, 2, 1, 1, 1, 1, 2, 1]
popularized	1.9	0.83066	[3, 2, 3, 2, 1, 0, 2, 2, 2, 2]
popularizer	1.8	0.74833	[2, 2, 3, 2, 1, 0, 2, 2, 2, 2]
popularizers	1.0	0.89443	[0, 0, 1, 2, 1, 1, 1, 1, 3, 0]
popularizes	1.4	0.8	[2, 1, 3, 2, 1, 0, 1, 2, 1, 1]
popularizing	1.5	0.67082	[2, 2, 1, 1, 1, 2, 2, 0, 2, 2]
popularly	1.8	0.74833	[1, 3, 2, 1, 3, 1, 2, 1, 2, 2]
positive	2.6	0.91652	[2, 1, 2, 2, 3, 3, 4, 3, 4, 2]
positively	2.4	0.66332	[2, 2, 3, 3, 4, 2, 2, 2, 2, 2]
positiveness	2.3	1.18743	[2, 1, 4, 3, 4, 2, 0, 3, 2, 2]
positivenesses	2.2	0.74833	[3, 3, 2, 2, 2, 2, 1, 3, 1, 3]
positiver	2.3	0.78102	[1, 4, 2, 2, 2, 3, 2, 2, 2, 3]
positives	2.4	0.4899	[3, 3, 2, 2, 2, 2, 3, 2, 3, 2]
positivest	2.9	1.04403	[4, 3, 2, 1, 3, 4, 4, 4, 2, 2]
positivism	1.6	1.35647	[3, 0, 2, 1, 2, 0, 3, 4, 1, 0]
positivisms	1.8	0.9798	[4, 1, 2, 2, 2, 0, 2, 2, 1, 2]
positivist	2.0	1.0	[3, 1, 2, 2, 2, 0, 2, 4, 2, 2]
positivistic	1.9	0.83066	[2, 3, 1, 3, 1, 1, 3, 2, 1, 2]
positivists	1.7	1.1	[1, 2, 1, 4, 2, 1, 3, 0, 1, 2]
positivities	2.6	0.91652	[2, 2, 4, 3, 2, 3, 4, 3, 1, 2]
positivity	2.3	0.9	[2, 2, 2, 3, 3, 3, 3, 0, 3, 2]
possessive	-0.9	1.22066	[-1, -1, -2, -2, 0, -1, 0, -2, 2, -2]
postpone	-0.9	0.83066	[1, -1, -2, -1, -1, -2, -1, -1, 0, -1]
postponed	-0.8	0.4	[-1, -1, 0, 0, -1, -1, -1, -1, -1, -1]
postpones	-1.1	0.83066	[-1, -1, -1, 0, -1, 0, -2, -1, -3, -1]
postponing	-0.5	0.5	[0, -1, 0, -1, 0, 0, 0, -1, -1, -1]
poverty	-2.3	1.00499	[-2, -4, -2, -4, -3, -1, -2, -2, -1, -2]
powerful	1.8	0.9798	[4, 0, 2, 1, 2, 2, 2, 2, 1, 2]
powerless	-2.2	0.6	[-2, -3, -2, -2, -3, -2, -3, -2, -1, -2]
praise	2.6	0.8	[2, 4, 3, 3, 2, 1, 3, 3, 2, 3]
praised	2.2	0.6	[3, 2, 2, 2, 2, 3, 1, 3, 2, 2]
praiser	2.0	0.89443	[3, 1, 3, 1, 1, 2, 1, 3, 2, 3]
praisers	2.0	0.63246	[2, 2, 1, 3, 3, 2, 1, 2, 2, 2]
praises	2.4	0.4899	[3, 2, 2, 3, 2, 3, 2, 3, 2, 2]
praiseworthily	1.9	0.7	[2, 1, 1, 3, 2, 2, 2, 3, 1, 2]
praiseworthiness	2.4	0.8	[1, 3, 2, 4, 2, 2, 3, 2, 3, 2]
praiseworthy	2.6	0.4899	[3, 3, 3, 3, 2, 2, 3, 2, 3, 2]
praising	2.5	0.67082	[2, 3, 3, 2, 2, 3, 3, 3, 1, 3]
pray	1.3	1.18743	[0, 3, 2, 1, 1, 1, -1, 3, 1, 2]
praying	1.5	0.92195	[2, 2, 0, 3, 1, 3, 1, 1, 1, 1]
prays	1.4	1.0198	[2, 0, 2, 0, 1, 1, 3, 1, 3, 1]
prblm	-1.6	0.8	[-1, -1, -1, -1, -1, -3, -3, -2, -2, -1]
prblms	-2.3	1.00499	[-2, -2, -2, -2, -4, -4, -3, -1, -2, -1]
precious	2.7	0.64031	[3, 3, 3, 3, 3, 1, 3, 3, 2, 3]
preciously	2.2	0.74833	[3, 3, 3, 2, 2, 1, 1, 3, 2, 2]
preciousness	1.9	0.83066	[2, 4, 2, 2, 2, 1, 1, 1, 2, 2]
prejudice	-2.3	0.78102	[-2, -1, -2, -2, -3, -2, -2, -3, -4, -2]
prejudiced	-1.9	0.53852	[-2, -3, -1, -2, -1, -2, -2, -2, -2, -2]
prejudices	-1.8	0.74833	[-2, -3, -1, -2, -1, -3, -2, -1, -1, -2]
prejudicial	-2.6	0.8	[-3, -3, -2, -2, -3, -4, -2, -1, -3, -3]
prejudicially	-1.5	1.74642	[-3, -1, -1, -3, -3, -1, -3, 1, 2, -3]
prejudicialness	-2.4	1.42829	[-2, -3, 1, -3, -2, -4, -4, -3, -1, -3]
prejudicing	-1.8	1.07703	[-2, -2, -2, -3, -2, -1, 1, -3, -2, -2]
prepared	0.9	0.3	[1, 1, 1, 1, 1, 0, 1, 1, 1, 1]
pressure	-1.2	0.6	[-1, -1, -1, -1, -2, -2, -1, -2, 0, -1]
pressured	-0.9	1.04403	[-2, -1, -2, -1, 2, -1, -1, -1, -1, -1]
pressureless	1.0	1.26491	[2, 0, 1, -1, -1, 2, 1, 2, 1, 3]
pressures	-1.3	0.64031	[-2, -1, -1, -1, -3, -1, -1, -1, -1, -1]
pressuring	-1.4	0.91652	[-3, -1, -1, -1, -1, -1, -1, -3, -2, 0]
pressurise	-0.6	1.0198	[0, -2, 0, 1, 0, -2, 0, -2, 0, -1]
pressurised	-0.4	0.66332	[0, 0, 0, -1, 0, -1, 0, -2, 0, 0]
pressurises	-0.8	0.6	[-1, -1, -1, 0, -1, -1, 0, -1, 0, -2]
pressurising	-0.6	1.28062	[-1, 0, 0, 2, -1, -1, -3, 0, -2, 0]
pressurizations	-0.3	1.00499	[0, 0, 1, -2, 0, 0, -1, -2, 0, 1]
pressurize	-0.7	1.34536	[0, -2, -2, 0, 0, -1, -3, 2, -1, 0]
pressurized	0.1	0.83066	[0, 0, 0, 2, 0, 0, -1, -1, 0, 1]
pressurizer	0.1	0.83066	[0, 0, 0, 1, 0, 0, -1, -1, 0, 2]
pressurizers	-0.7	0.9	[-1, 0, -2, -1, -2, -1, 0, 0, 1, -1]
pressurizes	-0.2	0.87178	[0, 0, -1, 1, 0, 0, -1, -2, 0, 1]
pressurizing	-0.2	0.9798	[1, 0, -1, -1, -1, 0, -1, 2, 0, -1]
pretend	-0.4	0.91652	[0, 1, -1, -1, -2, 0, -1, -1, 1, 0]
pretending	0.4	1.49666	[2, 0, -1, -1, 0, 3, -2, 1, 0, 2]
pretends	-0.4	0.66332	[0, -1, 0, -1, 1, 0, 0, -1, -1, -1]
prettied	1.6	0.66332	[2, 1, 1, 1, 1, 2, 3, 2, 1, 2]
prettier	2.1	0.53852	[2, 2, 2, 2, 2, 2, 3, 1, 2, 3]
pretties	1.7	0.78102	[2, 1, 1, 2, 1, 2, 3, 1, 1, 3]
prettiest	2.7	0.78102	[4, 3, 4, 2, 2, 2, 3, 2, 2, 3]
pretty	2.2	0.6	[3, 2, 2, 2, 3, 1, 2, 2, 2, 3]
prevent	0.1	1.22066	[-2, 1, 0, 0, -1, 2, -1, 2, 0, 0]
prevented	0.1	0.7	[0, -1, 0, 2, 0, 0, 0, 0, 0, 0]
preventing	-0.1	1.51327	[-2, 0, -2, 3, 0, 0, -1, -1, 2, 0]
prevents	0.3	1.34536	[0, -2, 0, 0, 0, 2, 0, -1, 3, 1]
prick	-1.4	1.42829	[-2, -2, -2, -1, 1, -1, -4, -2, 1, -2]
pricked	-0.6	1.0198	[-1, -1, -2, 1, 0, -1, -2, -1, 1, 0]
pricker	-0.3	0.9	[-1, -1, 0, 2, 0, -1, -1, -1, 0, 0]
prickers	-0.2	0.87178	[1, -1, -1, 0, 1, -1, 0, 1, -1, -1]
pricket	-0.5	0.67082	[0, -1, -1, -2, 0, 0, 0, 0, -1, 0]
prickets	0.3	0.64031	[0, 2, 0, 0, 0, 1, 0, 0, 0, 0]
pricking	-0.9	1.22066	[-2, -1, -2, 2, -2, -2, -1, 0, -1, 0]
prickle	-1.0	0.44721	[-1, -1, -1, -1, -1, -1, -2, 0, -1, -1]
prickled	-0.2	1.53623	[-1, -1, 3, -1, -2, 2, 0, 0, 0, -2]
prickles	-0.8	0.74833	[0, -1, -1, -1, -2, -1, 0, 0, 0, -2]
pricklier	-1.6	0.8	[-1, -2, -2, -2, -2, -1, -2, -1, 0, -3]
prickliest	-1.4	1.35647	[-4, -2, -1, 0, -3, -1, -1, 1, -2, -1]
prickliness	-0.6	0.91652	[-2, -1, -1, -1, -1, 1, -1, 1, 0, -1]
prickling	-0.8	0.6	[-2, -1, 0, -1, 0, 0, -1, -1, -1, -1]
prickly	-0.9	1.04403	[-2, -1, -1, -2, -1, 1, -2, -1, 1, -1]
pricks	-0.9	1.04403	[-2, 0, -1, -3, -1, 1, 0, -1, -1, -1]
pricky	-0.6	1.2	[-2, 1, -1, -2, -1, 2, 0, -1, -1, -1]
pride	1.4	1.11355	[0, 2, 2, 2, 3, 1, -1, 2, 2, 1]
prison	-2.3	0.64031	[-3, -3, -2, -2, -1, -2, -3, -3, -2, -2]
prisoner	-2.5	1.0247	[-3, -1, -4, -4, -3, -2, -3, -2, -1, -2]
prisoners	-2.3	0.78102	[-3, -2, -3, -3, -1, -3, -2, -1, -2, -3]
privilege	1.5	0.80623	[2, 1, 0, 1, 3, 1, 2, 2, 2, 1]
privileged	1.9	0.9434	[2, 3, 3, 2, 3, 1, 1, 2, 0, 2]
privileges	1.6	1.2	[2, 1, 3, 1, 2, 2, 0, 0, 4, 1]
privileging	0.7	1.1	[1, 1, 2, 2, -1, 2, 1, 0, 0, -1]
prize	2.3	1.1	[2, 2, 0, 4, 4, 3, 2, 2, 2, 2]
prized	2.4	0.8	[3, 3, 3, 2, 3, 2, 1, 3, 1, 3]
prizefight	-0.1	1.13578	[-2, 2, 0, 0, 0, -2, 0, 1, 0, 0]
prizefighter	1.0	1.0	[0, 2, 0, 0, 0, 2, 0, 2, 2, 2]
prizefighters	-0.1	1.04403	[0, 0, -3, 0, 0, 0, 0, 1, 1, 0]
prizefighting	0.4	0.91652	[0, 0, 0, 1, 0, 3, 0, 0, 0, 0]
prizefights	0.3	0.78102	[1, 2, 0, 0, -1, 0, 0, 1, 0, 0]
prizer	1.0	1.0	[0, 3, 0, 0, 2, 1, 2, 1, 0, 1]
prizers	0.8	0.9798	[2, 0, 0, 1, 3, 1, 0, 1, 0, 0]
prizes	2.0	1.09545	[3, 3, 2, 0, 2, 1, 2, 4, 1, 2]
prizewinner	2.3	1.00499	[3, 0, 3, 3, 2, 2, 2, 4, 2, 2]
prizewinners	2.4	1.11355	[4, 2, 2, 2, 0, 4, 2, 3, 3, 2]
prizewinning	3.0	0.7746	[3, 3, 3, 3, 3, 4, 3, 1, 3, 4]
proactive	1.8	0.87178	[2, 3, 3, 1, 1, 1, 1, 3, 1, 2]
problem	-1.7	0.64031	[-2, -2, -1, -1, -1, -3, -1, -2, -2, -2]
problematic	-1.9	0.53852	[-1, -2, -2, -2, -2, -3, -2, -1, -2, -2]
problematical	-1.8	0.6	[-3, -1, -1, -2, -2, -2, -2, -2, -1, -2]
problematically	-2.0	1.0	[-2, -1, -3, -1, -1, -2, -4, -3, -1, -2]
problematics	-1.3	1.1	[0, -1, -1, 0, -2, -1, -4, -1, -2, -1]
problems	-1.7	0.78102	[-2, -1, -1, -3, -2, -1, -3, -1, -1, -2]
profit	1.9	0.7	[2, 3, 2, 1, 2, 1, 3, 1, 2, 2]
profitabilities	1.1	0.7	[1, 1, 3, 1, 1, 1, 1, 0, 1, 1]
profitability	1.1	1.44568	[1, 1, -2, 2, 0, 3, 1, 3, 2, 0]
profitable	1.9	0.9434	[2, 3, 0, 3, 1, 2, 1, 3, 2, 2]
profitableness	2.4	1.11355	[1, 4, 2, 4, 2, 2, 4, 2, 1, 2]
profitably	1.6	0.91652	[1, 2, 0, 3, 1, 3, 1, 1, 2, 2]
profited	1.3	1.00499	[2, 2, 2, 1, 0, 0, 1, 3, 0, 2]
profiteer	0.8	1.6	[2, -2, -1, 3, -1, 2, 1, 2, 0, 2]
profiteered	-0.5	1.9105	[0, 0, 2, -2, -3, -2, 3, 0, -3, 0]
profiteering	-0.6	2.05913	[-1, 2, -2, -4, -2, 2, 1, -2, 2, -2]
profiteers	0.5	1.5	[-2, 1, -1, -1, 1, -1, 2, 2, 2, 2]
profiter	0.7	1.55242	[2, 2, 2, 1, -1, 1, -1, 3, 0, -2]
profiterole	0.4	0.66332	[0, 0, 0, 0, 0, 1, 0, 1, 2, 0]
profiteroles	0.5	0.92195	[0, 0, -1, 2, 2, 0, 0, 1, 0, 1]
profiting	1.6	0.91652	[1, 0, 3, 2, 1, 2, 3, 1, 1, 2]
profitless	-1.5	0.92195	[-2, -2, -3, -1, -1, -1, 0, -1, -1, -3]
profits	1.9	1.04403	[2, 2, 1, 0, 2, 1, 2, 4, 3, 2]
profitwise	0.9	0.83066	[1, 2, 0, 0, 1, 2, 2, 0, 1, 0]
progress	1.8	0.74833	[3, 2, 1, 2, 3, 1, 1, 2, 2, 1]
prominent	1.3	0.45826	[2, 1, 1, 2, 1, 1, 1, 2, 1, 1]
promiscuities	-0.8	1.32665	[-1, 0, -2, -2, -1, 2, -3, -1, 0, 0]
promiscuity	-1.8	1.07703	[-1, -2, -4, -2, -3, -1, 0, -2, -1, -2]
promiscuous	-0.3	1.34536	[2, -3, -1, -1, 0, -1, 0, -1, 1, 1]
promiscuously	-1.5	1.28452	[-2, -1, -3, 2, -2, -2, -1, -2, -2, -2]
promiscuousness	-0.9	1.37477	[-3, -1, 1, -2, -2, 1, 1, -1, -2, -1]
promise	1.3	0.64031	[1, 0, 1, 1, 2, 2, 1, 1, 2, 2]
promised	1.5	0.92195	[2, 1, 1, 0, 0, 2, 2, 3, 2, 2]
promisee	0.8	0.87178	[2, 1, 0, 0, 0, 2, 0, 2, 1, 0]
promisees	1.1	0.9434	[2, 0, 1, 0, 0, 0, 2, 2, 2, 2]
promiser	1.3	0.9	[2, 1, 1, 0, 0, 2, 2, 3, 1, 1]
promisers	1.6	0.4899	[2, 1, 2, 1, 2, 1, 2, 1, 2, 2]
promises	1.6	0.8	[2, 1, 1, 0, 2, 1, 3, 2, 2, 2]
promising	1.7	0.45826	[1, 2, 2, 1, 2, 2, 1, 2, 2, 2]
promisingly	1.2	0.6	[2, 2, 1, 1, 1, 2, 1, 0, 1, 1]
promisor	1.0	0.63246	[2, 2, 0, 1, 1, 1, 0, 1, 1, 1]
promisors	0.4	0.8	[0, 0, 0, 2, 0, 2, 0, 0, 0, 0]
promissory	0.9	1.13578	[2, 0, 0, 3, 0, 2, 2, 0, 0, 0]
promote	1.6	0.8	[2, 1, 2, 3, 0, 1, 2, 2, 1, 2]
promoted	1.8	0.74833	[2, 2, 1, 1, 1, 2, 2, 1, 3, 3]
promotes	1.4	0.91652	[1, 2, 0, 0, 1, 2, 2, 1, 3, 2]
promoting	1.5	0.67082	[1, 2, 2, 1, 2, 1, 2, 0, 2, 2]
propaganda	-1.0	1.54919	[-2, -3, -2, -3, -2, 1, -1, 1, 0, 1]
prosecute	-1.7	1.00499	[-2, -2, -2, -1, -1, -2, 0, -1, -4, -2]
prosecuted	-1.6	1.95959	[-2, -2, -2, -3, -3, -3, -4, 2, 2, -1]
prosecutes	-1.8	1.53623	[-2, -2, -2, -3, -2, -2, -4, 1, 1, -3]
prosecution	-2.2	1.07703	[-4, -1, -2, -2, -3, -2, -1, -4, -1, -2]
prospect	1.2	0.87178	[1, 3, 1, 0, 2, 2, 1, 0, 1, 1]
prospects	1.2	0.6	[2, 1, 1, 1, 1, 0, 1, 2, 2, 1]
prosperous	2.1	1.86815	[-3, 3, 3, 2, 4, 2, 3, 3, 3, 1]
protect	1.6	0.8	[1, 3, 1, 1, 1, 1, 3, 2, 1, 2]
protected	1.9	0.7	[1, 1, 2, 3, 2, 2, 2, 1, 3, 2]
protects	1.3	0.78102	[2, 2, 0, 2, 1, 1, 0, 2, 2, 1]
protest	-1.0	1.34164	[-2, -1, -1, -2, -1, -2, 1, -2, 2, -2]
protested	-0.5	1.62788	[-2, -3, -1, -1, 0, 2, 2, -2, 1, -1]
protesters	-0.9	0.7	[0, 0, 0, -1, -2, -2, -1, -1, -1, -1]
protesting	-1.8	0.74833	[-2, -2, -1, -2, -1, -1, -2, -1, -3, -3]
protests	-0.9	1.57797	[-2, -2, 2, 0, -1, -2, -2, -2, 2, -2]
proud	2.1	0.3	[2, 3, 2, 2, 2, 2, 2, 2, 2, 2]
prouder	2.2	1.16619	[2, 3, 3, 4, 0, 1, 1, 3, 2, 3]
proudest	2.6	0.66332	[4, 2, 2, 2, 2, 3, 2, 3, 3, 3]
proudful	1.9	1.51327	[3, 3, 0, 1, -1, 1, 4, 3, 2, 3]
proudhearted	1.4	0.91652	[2, -1, 1, 2, 2, 1, 2, 2, 2, 1]
proudly	2.6	0.4899	[2, 2, 3, 3, 2, 3, 3, 3, 2, 3]
provoke	-1.7	0.64031	[-2, -2, -1, -1, -1, -2, -2, -1, -3, -2]
provoked	-1.1	0.83066	[-1, -1, 0, -2, -2, -2, -2, 0, 0, -1]
provokes	-1.3	0.78102	[-2, -2, -1, -2, -1, -2, -2, 0, 0, -1]
provoking	-0.8	1.249	[-2, -2, -1, -2, 1, -1, 1, 1, -1, -2]
pseudoscience	-1.2	1.32665	[-1, -1, -3, -4, 0, 0, -2, 0, 0, -1]
puke	-2.4	1.0198	[-1, -3, -3, -2, -4, -4, -2, -1, -2, -2]
puked	-1.8	0.6	[-1, -2, -2, -3, -1, -1, -2, -2, -2, -2]
pukes	-1.9	0.7	[-1, -2, -3, -3, -1, -1, -2, -2, -2, -2]
puking	-1.8	1.46969	[0, -2, -4, -3, -2, -3, 1, -1, -1, -3]
pukka	2.8	0.4	[3, 2, 3, 3, 3, 2, 3, 3, 3, 3]
punish	-2.4	0.91652	[-1, -3, -3, -4, -3, -1, -2, -2, -2, -3]
punishabilities	-1.7	0.78102	[0, -2, -3, -2, -1, -2, -2, -1, -2, -2]
punishability	-1.6	1.49666	[-2, -2, -1, -1, -2, -2, -3, 2, -4, -1]
punishable	-1.9	0.7	[-3, -1, -1, -2, -2, -1, -3, -2, -2, -2]
punished	-2.0	0.44721	[-2, -2, -1, -2, -2, -2, -2, -2, -3, -2]
punisher	-1.9	0.53852	[-3, -1, -2, -2, -2, -2, -2, -1, -2, -2]
punishers	-2.6	0.8	[-3, -3, -3, -3, -2, -2, -4, -2, -1, -3]
punishes	-2.1	0.7	[-3, -2, -3, -2, -1, -2, -2, -3, -1, -2]
punishing	-2.6	0.8	[-2, -3, -3, -3, -4, -1, -3, -2, -2, -3]
punishment	-2.2	0.6	[-2, -1, -2, -2, -3, -3, -2, -2, -2, -3]
punishments	-1.8	0.6	[-2, -2, -2, -1, -1, -2, -2, -3, -1, -2]
punitive	-2.3	0.78102	[-4, -2, -3, -1, -2, -2, -2, -2, -3, -2]
pushy	-1.1	0.83066	[-2, -2, -1, -1, -1, 1, -1, -2, -1, -1]
puzzled	-0.7	0.45826	[0, 0, -1, -1, 0, -1, -1, -1, -1, -1]
quaking	-1.5	0.67082	[-1, -2, -2, -2, -1, 0, -2, -1, -2, -2]
questionable	-1.2	0.4	[-1, -1, -1, -1, -1, -1, -1, -2, -2, -1]
questioned	-0.4	1.0198	[-2, 0, 0, -1, -1, 2, 0, 0, -1, -1]
questioning	-0.4	0.66332	[0, -1, -1, 0, 0, 0, -2, 0, 0, 0]
racism	-3.1	0.9434	[-4, -4, -4, -2, -3, -4, -2, -2, -2, -4]
racist	-3.0	0.89443	[-1, -3, -3, -4, -3, -4, -4, -2, -3, -3]
racists	-2.5	0.92195	[-3, 0, -3, -2, -2, -3, -3, -3, -3, -3]
radian	0.4	0.66332	[0, 0, 0, 0, 0, 0, 1, 2, 0, 1]
radiance	1.4	1.11355	[3, 1, 2, 3, 1, 1, -1, 1, 2, 1]
radiances	1.1	0.53852	[1, 2, 2, 1, 1, 1, 0, 1, 1, 1]
radiancies	0.8	1.16619	[-1, 0, 3, 1, 1, 1, 1, 2, -1, 1]
radiancy	1.4	0.66332	[2, 1, 1, 3, 1, 1, 1, 1, 2, 1]
radians	0.2	0.6	[0, 2, 0, 0, 0, 0, 0, 0, 0, 0]
radiant	2.1	0.83066	[4, 2, 2, 2, 2, 1, 1, 3, 2, 2]
radiantly	1.3	0.78102	[3, 2, 1, 1, 1, 1, 1, 0, 1, 2]
radiants	1.2	0.6	[2, 1, 0, 2, 1, 1, 1, 2, 1, 1]
rage	-2.6	0.8	[-3, -2, -2, -3, -3, -4, -1, -2, -3, -3]
raged	-2.0	0.63246	[-2, -1, -1, -3, -3, -2, -2, -2, -2, -2]
ragee	-0.4	1.42829	[-2, -1, 0, 3, 0, -2, -2, 0, 0, 0]
rageful	-2.8	0.6	[-3, -3, -3, -3, -2, -4, -2, -3, -2, -3]
rages	-2.1	0.7	[-3, -1, -1, -3, -3, -2, -2, -2, -2, -2]
raging	-2.4	1.0198	[-1, -3, -3, -1, -3, -3, -1, -4, -2, -3]
rainy	-0.3	0.64031	[-1, 0, 1, 0, 0, 0, -1, 0, -1, -1]
rancid	-2.5	1.11803	[-3, -3, -3, -2, -3, 0, -3, -1, -4, -3]
rancidity	-2.6	0.8	[-4, -3, -3, -2, -2, -2, -2, -2, -2, -4]
rancidly	-2.5	1.20416	[-2, -1, -4, -3, -4, -1, -2, -3, -4, -1]
rancidness	-2.6	0.91652	[-3, -4, -2, -3, -4, -2, -3, -1, -2, -2]
rancidnesses	-1.6	0.4899	[-2, -1, -2, -1, -1, -2, -2, -2, -1, -2]
rant	-1.4	0.66332	[-1, -2, -2, -1, -2, -2, -2, -1, 0, -1]
ranter	-1.2	1.16619	[-1, -2, -2, -2, -1, -1, -1, -2, 2, -2]
ranters	-1.2	0.87178	[-1, -1, -1, 0, -1, -1, -3, -2, 0, -2]
rants	-1.3	0.45826	[-1, -1, -1, -2, -1, -1, -1, -2, -2, -1]
rape	-3.7	0.64031	[-4, -2, -4, -4, -4, -4, -4, -4, -3, -4]
raped	-3.6	0.4899	[-3, -3, -4, -4, -3, -4, -4, -4, -3, -4]
raper	-3.4	0.66332	[-3, -3, -4, -4, -3, -3, -4, -4, -2, -4]
rapers	-3.6	0.66332	[-2, -4, -4, -3, -4, -3, -4, -4, -4, -4]
rapes	-3.5	0.67082	[-4, -3, -4, -4, -3, -4, -4, -3, -2, -4]
rapeseeds	-0.5	1.20416	[0, 0, 0, 0, 0, -4, 0, 0, -1, 0]
raping	-3.8	0.4	[-3, -4, -4, -4, -4, -4, -4, -4, -3, -4]
rapist	-3.9	0.3	[-4, -4, -4, -4, -4, -4, -3, -4, -4, -4]
rapists	-3.3	0.64031	[-3, -3, -4, -3, -4, -3, -4, -2, -4, -3]
rapture	0.6	2.2891	[-2, 2, -2, 3, 3, 4, -1, -1, 2, -2]
raptured	0.9	1.97231	[0, -2, 0, 2, 4, -1, 4, -1, 1, 2]
raptures	0.7	2.05183	[0, -2, 0, 2, 4, -2, 4, -1, 1, 1]
rapturous	1.7	1.95192	[3, 4, 0, 3, 2, 2, 4, -2, -1, 2]
rash	-1.7	0.78102	[-2, -1, -1, -3, -2, -2, -1, -1, -1, -3]
ratified	0.6	0.4899	[1, 0, 0, 1, 1, 0, 1, 1, 0, 1]
reach	0.1	0.3	[0, 0, 0, 0, 0, 0, 0, 1, 0, 0]
reached	0.4	0.4899	[1, 0, 0, 0, 1, 1, 0, 1, 0, 0]
reaches	0.2	0.4	[0, 0, 0, 1, 0, 1, 0, 0, 0, 0]
reaching	0.8	0.6	[1, 0, 2, 0, 1, 0, 1, 1, 1, 1]
readiness	1.0	0.63246	[1, 1, 1, 1, 0, 1, 2, 1, 2, 0]
ready	1.5	1.0247	[2, 1, 1, 0, 2, 2, 1, 1, 1, 4]
reassurance	1.5	0.5	[1, 1, 1, 1, 2, 1, 2, 2, 2, 2]
reassurances	1.4	0.8	[0, 1, 1, 2, 1, 1, 1, 2, 3, 2]
reassure	1.4	0.4899	[2, 2, 1, 1, 2, 1, 2, 1, 1, 1]
reassured	1.7	0.45826	[2, 1, 1, 1, 2, 2, 2, 2, 2, 2]
reassures	1.5	0.92195	[2, 1, 1, 2, 2, 2, -1, 2, 2, 2]
reassuring	1.7	1.48661	[3, 3, 2, -2, 1, 3, 3, 2, 1, 1]
reassuringly	1.8	0.87178	[1, 3, 2, 1, 2, 3, 3, 1, 1, 1]
rebel	-0.6	1.49666	[-2, -1, -1, 0, -2, -1, 2, 1, 1, -3]
rebeldom	-1.5	1.0247	[-2, -2, -1, -3, -2, -2, -1, 1, -1, -2]
rebelled	-1.0	1.26491	[-2, -2, 0, -2, 0, -2, -2, -1, -1, 2]
rebelling	-1.1	1.51327	[-3, -1, -2, -1, -2, -1, -1, -3, 2, 1]
rebellion	-0.5	1.80278	[-2, -2, -1, -1, 3, -1, 1, -3, 2, -1]
rebellions	-1.1	1.57797	[-2, -4, -3, 0, 0, -1, 1, -2, -1, 1]
rebellious	-1.2	1.249	[-2, -1, -3, -1, -2, -2, 1, -1, 1, -2]
rebelliously	-1.8	0.87178	[-3, 0, -2, -2, -1, -2, -3, -1, -2, -2]
rebelliousness	-1.2	1.16619	[0, -3, -1, -2, 1, -1, -2, 0, -2, -2]
rebels	-0.8	1.07703	[-1, 0, 0, -2, 0, -3, 0, 0, 0, -2]
recession	-1.8	1.07703	[-3, -1, -4, -2, -1, -1, -1, -1, -3, -1]
reckless	-1.7	0.64031	[-2, -1, -1, -3, -1, -2, -1, -2, -2, -2]
recommend	1.5	0.67082	[1, 1, 1, 1, 2, 3, 2, 2, 1, 1]
recommended	0.8	1.07703	[1, 1, 0, -2, 1, 2, 1, 2, 1, 1]
recommends	0.9	0.9434	[1, 1, 2, 0, 0, 2, 1, -1, 2, 1]
redeemed	1.3	0.9	[2, 1, 2, 2, 1, -1, 2, 1, 2, 1]
reek	-2.4	0.66332	[-3, -3, -2, -3, -3, -2, -2, -2, -1, -3]
reeked	-2.0	1.09545	[-4, -3, -2, -3, -1, -2, 0, -1, -2, -2]
reeker	-1.7	1.1	[0, -2, -1, 0, -3, -3, -2, -1, -3, -2]
reekers	-1.5	1.0247	[-3, 0, 0, 0, -2, -2, -2, -2, -2, -2]
reeking	-2.0	1.48324	[2, -2, -2, -3, -3, -3, -1, -3, -3, -2]
refuse	-1.2	0.4	[-1, -1, -1, -1, -1, -1, -1, -2, -2, -1]
refused	-1.2	0.74833	[0, -1, -1, -1, -1, -1, -2, -1, -3, -1]
refusing	-1.7	0.64031	[-1, -1, -1, -2, -2, -2, -3, -1, -2, -2]
regret	-1.8	0.6	[-2, -2, -2, -2, -1, -3, -1, -1, -2, -2]
regretful	-1.9	0.83066	[-1, -2, -1, -2, -1, -2, -1, -3, -3, -3]
regretfully	-1.9	0.83066	[-1, -1, -1, -3, -2, -3, -1, -3, -2, -2]
regretfulness	-1.6	0.66332	[-1, -3, -1, -1, -1, -2, -1, -2, -2, -2]
regrets	-1.5	0.5	[-2, -2, -2, -1, -2, -1, -1, -2, -1, -1]
regrettable	-2.3	0.78102	[-3, -1, -2, -1, -3, -2, -3, -3, -2, -3]
regrettably	-2.0	0.63246	[-2, -3, -1, -3, -2, -1, -2, -2, -2, -2]
regretted	-1.6	0.4899	[-2, -1, -2, -2, -2, -2, -1, -1, -1, -2]
regretter	-1.6	0.66332	[-2, -1, -2, -2, -3, -2, -1, -1, -1, -1]
regretters	-2.0	0.89443	[-1, -2, -2, -2, -4, -3, -1, -1, -2, -2]
regretting	-1.7	0.78102	[-3, -2, -2, -1, -3, -1, -1, -1, -2, -1]
reinvigorate	2.3	0.78102	[3, 3, 3, 2, 3, 1, 2, 1, 2, 3]
reinvigorated	1.9	1.13578	[2, 2, 3, 1, 2, 3, 3, -1, 2, 2]
reinvigorates	1.8	0.9798	[2, 2, 3, 0, 2, 2, 3, 0, 2, 2]
reinvigorating	1.7	0.64031	[1, 2, 1, 1, 2, 2, 2, 1, 3, 2]
reinvigoration	2.2	0.4	[2, 2, 2, 3, 2, 3, 2, 2, 2, 2]
reject	-1.7	0.64031	[-1, -2, -2, -2, -1, -3, -1, -1, -2, -2]
rejected	-2.3	0.45826	[-3, -2, -3, -3, -2, -2, -2, -2, -2, -2]
rejectee	-2.3	0.45826	[-3, -2, -2, -3, -2, -3, -2, -2, -2, -2]
rejectees	-1.8	0.4	[-2, -2, -1, -2, -2, -2, -2, -2, -2, -1]
rejecter	-1.6	0.66332	[-2, -1, -1, -3, -2, -2, -1, -1, -1, -2]
rejecters	-1.8	0.6	[-2, -3, -1, -1, -2, -1, -2, -2, -2, -2]
rejecting	-2.0	0.7746	[-1, -2, -3, -1, -2, -3, -2, -1, -3, -2]
rejectingly	-1.7	0.64031	[-1, -2, -2, -2, -1, -2, -2, -1, -3, -1]
rejection	-2.5	0.67082	[-3, -3, -2, -4, -3, -2, -2, -2, -2, -2]
rejections	-2.1	0.53852	[-3, -2, -2, -2, -1, -2, -3, -2, -2, -2]
rejective	-1.8	0.6	[-3, -2, -2, -2, -1, -1, -2, -2, -1, -2]
rejector	-1.8	0.74833	[-2, -1, -2, -3, -1, -2, -1, -2, -3, -1]
rejects	-2.2	0.4	[-3, -2, -2, -2, -2, -3, -2, -2, -2, -2]
rejoice	1.9	0.9434	[2, 3, 1, 3, 1, 3, 1, 3, 1, 1]
rejoiced	2.0	0.63246	[2, 1, 2, 3, 2, 2, 3, 1, 2, 2]
rejoices	2.1	0.7	[2, 1, 2, 3, 2, 3, 3, 2, 2, 1]
rejoicing	2.8	0.4	[3, 3, 2, 3, 3, 3, 2, 3, 3, 3]
relax	1.9	1.13578	[2, 1, 1, 1, 4, 4, 2, 1, 1, 2]
relaxant	1.0	0.89443	[2, 1, 0, 0, 1, 0, 1, 3, 1, 1]
relaxants	0.7	0.9	[0, 1, 1, 0, -1, 2, 1, 2, 1, 0]
relaxation	2.4	0.4899	[3, 2, 3, 2, 2, 3, 3, 2, 2, 2]
relaxations	1.0	0.89443	[-1, 0, 2, 1, 1, 2, 1, 2, 1, 1]
relaxed	2.2	0.87178	[2, 3, 1, 3, 3, 3, 1, 2, 1, 3]
relaxedly	1.5	0.5	[2, 2, 1, 1, 2, 1, 2, 2, 1, 1]
relaxedness	2.0	0.63246	[2, 2, 3, 1, 3, 2, 2, 2, 1, 2]
relaxer	1.6	0.8	[0, 2, 1, 2, 1, 3, 1, 2, 2, 2]
relaxers	1.4	0.4899	[2, 1, 1, 1, 2, 2, 2, 1, 1, 1]
relaxes	1.5	0.5	[2, 1, 1, 1, 1, 2, 2, 2, 1, 2]
relaxin	1.7	0.64031	[2, 2, 1, 2, 0, 2, 2, 2, 2, 2]
relaxing	2.2	0.6	[1, 2, 2, 2, 2, 3, 3, 3, 2, 2]
relaxins	1.2	1.4	[1, 3, 2, 1, 0, 1, -2, 3, 2, 1]
relentless	0.2	1.07703	[3, -1, 0, -1, 0, 1, 0, 0, 0, 0]
reliant	0.5	1.20416	[0, 2, -1, 1, 0, 1, 2, -1, 2, -1]
relief	2.1	0.53852	[2, 2, 2, 3, 2, 3, 2, 1, 2, 2]
reliefs	1.3	0.78102	[1, 2, 2, 2, 2, 2, 0, 0, 1, 1]
relievable	1.1	1.22066	[1, -2, 1, 1, 1, 1, 3, 2, 1, 2]
relieve	1.5	0.5	[1, 2, 1, 2, 1, 1, 2, 2, 1, 2]
relieved	1.6	0.66332	[2, 1, 2, 1, 1, 3, 2, 1, 1, 2]
relievedly	1.4	0.4899	[1, 2, 1, 1, 1, 2, 2, 2, 1, 1]
reliever	1.5	0.80623	[2, 1, 2, 2, 1, 2, 0, 1, 1, 3]
relievers	1.0	0.63246	[1, 1, 1, 1, 2, 0, 2, 0, 1, 1]
relieves	1.5	0.80623	[2, 1, 2, 2, 1, 2, 0, 1, 1, 3]
relieving	1.5	1.0247	[2, 2, 1, 2, 3, -1, 2, 1, 1, 2]
relievo	1.3	1.00499	[0, 2, 1, 2, 2, -1, 2, 2, 2, 1]
relishing	1.6	0.8	[1, 2, 1, 3, 2, 3, 1, 1, 1, 1]
reluctance	-1.4	0.4899	[-2, -2, -1, -1, -1, -1, -2, -1, -2, -1]
reluctancy	-1.6	0.8	[-3, -2, -1, -1, -1, -1, -2, -1, -3, -1]
reluctant	-1.0	0.7746	[0, -1, 0, -1, -1, 0, -1, -2, -2, -2]
reluctantly	-0.4	1.42829	[-1, 2, -1, -2, -2, -1, 1, -1, 2, -1]
remarkable	2.6	1.0198	[3, 4, 3, 2, 2, 3, 3, 0, 3, 3]
remorse	-1.1	1.51327	[-3, -1, -3, 1, 2, -2, -1, -1, -2, -1]
remorseful	-0.9	2.07123	[-1, 1, -2, -3, 2, -1, -3, -2, 3, -3]
remorsefully	-0.7	1.34536	[-1, -1, 0, -1, -2, -1, -1, 1, -3, 2]
remorsefulness	-0.7	1.61555	[-1, -2, 2, -2, -2, -1, 0, -3, 2, 0]
remorseless	-2.3	0.64031	[-4, -2, -2, -2, -3, -2, -2, -2, -2, -2]
remorselessly	-2.0	1.09545	[-3, -3, -3, -2, -1, -1, -4, -1, -1, -1]
remorselessness	-2.8	1.16619	[-3, -4, -2, -2, -3, -4, -1, -1, -4, -4]
repetitive	-1.0	0.06325	[-1, -1, 0, -2, -1, -2, -1, -1, 0, -1]
repress	-1.4	0.66332	[-1, -1, -3, -2, -1, -1, -2, -1, -1, -1]
repressed	-1.3	0.78102	[-1, 0, -3, -1, -1, -2, -1, -1, -2, -1]
represses	-1.3	1.00499	[-1, 0, -3, -1, 0, -3, -1, -1, -2, -1]
repressible	-1.5	0.92195	[-1, -2, -3, -1, 0, -1, -3, -1, -2, -1]
repressing	-1.8	0.6	[-1, -2, -2, -2, -1, -3, -2, -1, -2, -2]
repression	-1.6	0.91652	[-2, -2, -1, -1, -1, -1, -4, -1, -2, -1]
repressions	-1.7	1.00499	[-2, -3, -1, -2, -2, -3, -2, 0, 0, -2]
repressive	-1.4	1.11355	[-3, -1, -1, -2, -1, -3, 1, -2, -1, -1]
repressively	-1.7	0.45826	[-2, -1, -2, -2, -2, -2, -2, -2, -1, -1]
repressiveness	-1.0	1.73205	[-2, -1, -2, -3, -1, -1, 1, -3, 3, -1]
repressor	-1.4	1.28062	[-1, 0, -3, -1, -2, -4, 0, -1, 0, -2]
repressors	-2.2	1.66132	[-2, -4, 0, -2, -1, -3, -4, -3, 1, -4]
repressurize	-0.3	0.64031	[0, 0, 0, 0, 0, 0, -2, 0, -1, 0]
repressurized	0.1	0.3	[0, 0, 0, 0, 1, 0, 0, 0, 0, 0]
repressurizes	0.1	0.3	[0, 0, 0, 0, 1, 0, 0, 0, 0, 0]
repressurizing	-0.1	0.3	[0, 0, 0, 0, -1, 0, 0, 0, 0, 0]
repulse	-2.8	0.4	[-3, -3, -3, -3, -2, -3, -3, -3, -2, -3]
repulsed	-2.2	0.9798	[0, -2, -2, -2, -3, -3, -1, -3, -3, -3]
rescue	2.3	0.78102	[1, 3, 1, 3, 2, 3, 3, 2, 2, 3]
rescued	1.8	1.53623	[3, 2, 2, -2, 3, 2, 1, 4, 1, 2]
rescues	1.3	0.78102	[3, 2, 0, 2, 1, 1, 1, 1, 1, 1]
resent	-0.7	1.26886	[-2, -2, 0, -1, -1, -1, -2, 1, 2, -1]
resented	-1.6	1.35647	[-2, -3, -2, -2, -1, -1, 2, -3, -2, -2]
resentence	-1.0	0.7746	[-1, 0, -1, -1, 0, -2, -1, 0, -2, -2]
resentenced	-0.8	0.9798	[0, -2, -1, 0, -1, 0, 0, 0, -3, -1]
resentences	-0.6	0.8	[0, -2, -1, 0, -1, 0, 0, 0, -2, 0]
resentencing	0.2	0.87178	[-1, -1, 0, 1, 0, 0, 1, 2, 0, 0]
resentful	-2.1	0.83066	[-3, -1, -2, -3, -1, -1, -3, -2, -2, -3]
resentfully	-1.4	1.11355	[-1, -2, -1, -1, -3, 1, -1, -3, -1, -2]
resentfulness	-2.0	0.7746	[-2, -2, -3, -3, -2, -3, -2, -1, -1, -1]
resenting	-1.2	1.72047	[-2, -1, -2, -2, -1, -3, -3, 2, 2, -2]
resentment	-1.9	0.83066	[-1, -3, -2, -3, -2, -3, -1, -1, -1, -2]
resentments	-1.9	0.7	[-2, -1, -2, -3, -1, -2, -2, -2, -1, -3]
resents	-1.2	1.32665	[-2, -1, -1, -3, 1, -1, 1, -3, -2, -1]
resign	-1.4	0.66332	[-2, -1, -3, -1, -1, -1, -1, -2, -1, -1]
resignation	-1.2	0.4	[-1, -1, -1, -2, -1, -1, -1, -1, -2, -1]
resignations	-1.2	0.6	[0, -1, -1, -2, -2, -2, -1, -1, -1, -1]
resigned	-1.0	0.63246	[-2, -1, 0, -1, -2, -1, -1, -1, 0, -1]
resignedly	-0.7	1.26886	[-3, -1, -1, -1, -1, 1, 1, 1, -2, -1]
resignedness	-0.8	1.07703	[-1, -2, 1, -2, -1, -1, 0, -2, -1, 1]
resigner	-1.2	0.6	[-2, -1, 0, -1, -2, -2, -1, -1, -1, -1]
resigners	-1.0	1.09545	[-1, 0, -1, -3, -1, 0, 0, -1, -3, 0]
resigning	-0.9	1.22066	[-1, -1, -1, -1, -1, 0, -1, -3, -2, 2]
resigns	-1.3	0.9	[0, -1, -1, 0, -2, -1, -3, -1, -2, -2]
resolute	1.1	0.53852	[2, 1, 0, 1, 1, 1, 2, 1, 1, 1]
resolvable	1.0	0.0	[1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
resolve	1.6	0.66332	[2, 1, 1, 2, 2, 1, 3, 1, 1, 2]
resolved	0.7	0.78102	[1, 2, 0, 1, 1, 0, 2, 0, 0, 0]
resolvent	0.7	0.78102	[1, 0, 1, 2, 0, -1, 1, 1, 1, 1]
resolvents	0.4	0.66332	[2, 0, 0, 1, 0, 0, 1, 0, 0, 0]
resolver	0.7	0.78102	[1, 2, 0, 1, 1, 0, 2, 0, 0, 0]
resolvers	1.4	0.4899	[2, 1, 2, 1, 1, 1, 2, 1, 2, 1]
resolves	0.7	0.78102	[1, 2, 0, 1, 1, 0, 2, 0, 0, 0]
resolving	1.6	0.4899	[2, 2, 1, 2, 2, 1, 1, 1, 2, 2]
respect	2.1	0.53852	[2, 2, 2, 2, 3, 3, 2, 2, 1, 2]
respectabilities	1.8	0.4	[2, 2, 2, 1, 2, 2, 2, 1, 2, 2]
respectability	2.4	0.8	[4, 1, 3, 2, 3, 3, 2, 2, 2, 2]
respectable	1.9	0.7	[2, 2, 2, 2, 1, 3, 3, 1, 1, 2]
respectableness	1.2	1.32665	[2, 1, 1, 0, 3, 2, -2, 2, 2, 1]
respectably	1.7	0.78102	[2, 2, 1, 3, 1, 3, 2, 1, 1, 1]
respected	2.1	0.7	[2, 2, 1, 2, 3, 1, 2, 3, 3, 2]
respecter	2.1	0.53852	[3, 2, 2, 2, 2, 2, 1, 3, 2, 2]
respecters	1.6	0.8	[2, 1, 2, 2, 3, 1, 2, 2, 0, 1]
respectful	2.0	0.7746	[1, 1, 3, 2, 2, 3, 1, 2, 3, 2]
respectfully	1.7	0.64031	[1, 2, 1, 2, 2, 2, 1, 3, 1, 2]
respectfulness	1.9	1.37477	[4, 2, 2, 1, 2, 4, -1, 1, 2, 2]
respectfulnesses	1.3	1.18743	[1, 1, 2, 2, 2, 2, 2, 1, -2, 2]
respecting	2.2	0.6	[1, 3, 2, 3, 2, 2, 3, 2, 2, 2]
respective	1.8	1.16619	[2, 2, 3, 0, 1, 3, 3, 1, 0, 3]
respectively	1.4	0.91652	[0, 0, 2, 2, 0, 2, 2, 2, 2, 2]
respectiveness	1.1	1.04403	[0, 2, 1, 0, 1, 0, 2, 2, 0, 3]
respects	1.3	1.00499	[2, 0, 0, 0, 2, 1, 2, 1, 2, 3]
responsible	1.3	1.1	[1, 1, 0, 4, 2, 2, 1, 0, 1, 1]
responsive	1.5	0.92195	[3, 1, 1, 0, 1, 1, 2, 3, 2, 1]
restful	1.5	0.67082	[1, 1, 1, 1, 2, 1, 2, 1, 2, 3]
restless	-1.1	0.3	[-1, -1, -1, -1, -1, -1, -2, -1, -1, -1]
restlessly	-1.4	0.91652	[-1, -4, -1, -1, -1, -2, -1, -1, -1, -1]
restlessness	-1.2	0.74833	[-3, -1, -1, 0, -1, -2, -1, -1, -1, -1]
restore	1.2	0.9798	[1, 1, 2, 2, 2, 2, 1, -1, 0, 2]
restored	1.4	0.91652	[2, 2, 1, 2, 1, 2, 2, 1, -1, 2]
restores	1.2	0.6	[2, 1, 1, 2, 1, 0, 1, 1, 2, 1]
restoring	1.2	0.4	[2, 1, 1, 1, 1, 2, 1, 1, 1, 1]
restrict	-1.6	0.8	[-3, -1, -1, -1, -3, -1, -2, -1, -1, -2]
restricted	-1.6	0.4899	[-1, -2, -1, -1, -1, -2, -2, -2, -2, -2]
restricting	-1.6	0.4899	[-2, -2, -2, -2, -1, -2, -1, -1, -2, -1]
restriction	-1.1	0.9434	[-1, -1, -1, -1, -3, 1, -2, -1, -1, -1]
restricts	-1.3	1.1	[-2, -2, -3, -1, -1, -2, 1, -1, -2, 0]
retained	0.1	0.7	[-1, 1, 1, 1, 0, -1, 0, 0, 0, 0]
retard	-2.4	0.8	[-2, -2, -2, -1, -3, -2, -4, -3, -3, -2]
retarded	-2.7	1.26886	[-4, -1, -3, -3, -4, -4, -2, -1, -1, -4]
retreat	0.8	1.07703	[2, 2, 0, 0, -1, 1, 2, 0, 2, 0]
revenge	-2.4	0.66332	[-2, -3, -2, -3, -3, -3, -2, -1, -2, -3]
revenged	-0.9	1.37477	[-2, -3, -2, -1, -1, 2, -1, 1, -1, -1]
revengeful	-2.4	0.4899	[-2, -2, -2, -3, -3, -2, -3, -3, -2, -2]
revengefully	-1.4	2.00998	[-3, -2, -2, -2, 3, 2, -3, -3, -2, -2]
revengefulness	-2.2	0.87178	[-2, -3, -3, -2, -2, -2, -1, -4, -1, -2]
revenger	-2.1	0.83066	[-2, -3, -2, -1, -1, -2, -3, -3, -1, -3]
revengers	-2.0	0.44721	[-2, -2, -3, -2, -2, -2, -1, -2, -2, -2]
revenges	-1.9	0.7	[-2, -3, -2, -1, -1, -2, -3, -2, -1, -2]
revered	2.3	1.1	[3, 3, 1, 3, 3, 3, 0, 3, 3, 1]
revive	1.4	1.11355	[4, 0, 2, 1, 1, 0, 2, 2, 1, 1]
revives	1.6	0.4899	[1, 1, 2, 2, 1, 2, 2, 2, 1, 2]
reward	2.7	0.78102	[3, 4, 1, 2, 3, 3, 2, 3, 3, 3]
rewardable	2.0	1.0	[3, 1, 4, 3, 1, 2, 1, 2, 2, 1]
rewarded	2.2	0.74833	[1, 2, 3, 2, 2, 4, 2, 2, 2, 2]
rewarder	1.6	0.8	[1, 2, 3, 1, 1, 3, 2, 1, 1, 1]
rewarders	1.9	0.83066	[1, 2, 2, 1, 3, 3, 1, 2, 1, 3]
rewarding	2.4	0.8	[3, 4, 2, 2, 1, 3, 3, 2, 2, 2]
rewardingly	2.4	0.8	[3, 2, 3, 4, 3, 2, 2, 2, 1, 2]
rewards	2.1	0.83066	[2, 1, 3, 4, 2, 2, 2, 2, 1, 2]
rich	2.6	0.8	[2, 3, 2, 4, 4, 3, 2, 2, 2, 2]
richened	1.9	0.83066	[3, 2, 2, 1, 3, 1, 2, 3, 1, 1]
richening	1.0	1.34164	[2, 2, 0, 0, -1, 1, 2, 3, -1, 2]
richens	0.8	0.9798	[1, 0, 3, 0, 0, 0, 1, 2, 1, 0]
richer	2.4	1.2	[1, 4, 2, 1, 2, 4, 4, 1, 3, 2]
riches	2.4	1.0198	[2, 4, 1, 1, 2, 4, 3, 2, 3, 2]
richest	2.4	1.11355	[4, 4, 2, 2, 3, 0, 2, 2, 3, 2]
richly	1.9	0.53852	[2, 2, 2, 2, 3, 1, 2, 2, 1, 2]
richness	2.2	0.74833	[2, 3, 2, 2, 2, 2, 2, 1, 4, 2]
richnesses	2.1	0.9434	[2, 1, 2, 2, 3, 1, 3, 1, 4, 2]
richweed	0.1	0.3	[0, 0, 0, 0, 0, 0, 0, 1, 0, 0]
richweeds	-0.1	0.3	[0, 0, 0, 0, 0, 0, 0, 0, 0, -1]
ridicule	-2.0	0.63246	[-2, -2, -2, -2, -3, -2, -1, -2, -1, -3]
ridiculed	-1.5	0.5	[-1, -1, -1, -2, -2, -2, -1, -2, -1, -2]
ridiculer	-1.6	0.91652	[-1, -1, -1, -2, -2, 0, -1, -3, -2, -3]
ridiculers	-1.6	0.66332	[-2, -1, -1, -2, -3, -2, -1, -2, -1, -1]
ridicules	-1.8	0.6	[-1, -1, -2, -2, -2, -2, -1, -2, -2, -3]
ridiculing	-1.8	0.6	[-2, -3, -2, -1, -1, -2, -2, -1, -2, -2]
ridiculous	-1.5	0.67082	[-3, -2, -1, -1, -2, -1, -2, -1, -1, -1]
ridiculously	-1.4	0.8	[-1, -2, -1, 0, -2, -1, -1, -3, -1, -2]
ridiculousness	-1.1	1.51327	[-1, -1, -1, -2, -1, 3, -3, -2, -1, -2]
ridiculousnesses	-1.6	1.11355	[-3, 0, -2, -2, -1, -1, -1, -4, -1, -1]
rig	-0.5	1.0247	[0, 0, 0, 0, -2, 0, 0, 0, -3, 0]
rigged	-1.5	1.0247	[-2, -3, -2, -1, -1, -2, 1, -1, -2, -2]
rigid	-0.5	0.67082	[-2, -1, 0, 0, 0, 0, 0, -1, -1, 0]
rigidification	-1.1	0.9434	[-1, -2, 0, 0, 0, -2, -2, -2, 0, -2]
rigidifications	-0.8	0.9798	[-2, -1, 0, 0, -2, -1, 0, 1, -2, -1]
rigidified	-0.7	1.00499	[0, -1, 0, 0, 0, 0, -2, 0, -1, -3]
rigidifies	-0.6	0.8	[0, -1, 0, 0, 0, 0, -2, 0, -1, -2]
rigidify	-0.3	0.64031	[0, 0, 0, 0, -1, 0, 0, 0, -2, 0]
rigidities	-0.7	0.78102	[0, -1, 0, 0, 0, 0, -2, -1, -1, -2]
rigidity	-0.7	0.64031	[-1, 0, -1, 0, -1, 0, -2, 0, -1, -1]
rigidly	-0.7	0.45826	[-1, -1, -1, -1, 0, 0, -1, 0, -1, -1]
rigidness	-0.3	1.00499	[0, -1, -1, 0, 2, -1, -1, -1, 1, -1]
rigorous	-1.1	1.51327	[-2, -3, 1, 0, 1, 0, -1, -1, -3, -3]
rigorously	-0.4	1.28062	[0, 2, 1, 0, -1, 0, -1, -1, -3, -1]
riot	-2.6	1.0198	[-3, 0, -3, -2, -3, -3, -3, -4, -3, -2]
riots	-2.3	0.78102	[-2, -3, -3, -2, -1, -1, -3, -2, -3, -3]
risk	-1.1	0.7	[-1, -1, 0, -2, -1, 0, -2, -2, -1, -1]
risked	-0.9	0.7	[-1, -2, 0, 0, -1, 0, -2, -1, -1, -1]
risker	-0.8	0.4	[-1, -1, -1, 0, -1, 0, -1, -1, -1, -1]
riskier	-1.4	0.91652	[0, -3, -1, 0, -1, -2, -1, -2, -2, -2]
riskiest	-1.5	1.0247	[-2, -3, -1, -1, -3, 0, -1, -2, 0, -2]
riskily	-0.7	1.34536	[-1, -2, -1, -1, 3, 0, -1, -1, -1, -2]
riskiness	-1.3	1.00499	[-3, -1, -1, 0, -1, 0, -1, -3, -2, -1]
riskinesses	-1.6	0.91652	[-2, -1, -1, 0, -3, -1, -2, -1, -3, -2]
risking	-1.3	1.1	[0, 0, -2, 0, -1, -3, -3, -1, -2, -1]
riskless	1.3	0.9	[2, 1, 0, 1, 1, 1, 2, 3, 0, 2]
risks	-1.1	0.9434	[-1, 0, -1, -1, 0, 0, -2, -1, -3, -2]
risky	-0.8	0.9798	[-1, 1, -1, -1, -1, 0, 0, -1, -3, -1]
rob	-2.6	0.8	[-2, -4, -3, -2, -3, -4, -2, -2, -2, -2]
robber	-2.6	1.0198	[-4, -1, -2, -3, -2, -1, -4, -3, -3, -3]
robed	-0.7	0.9	[-2, 0, 0, 0, 0, -2, 0, -2, -1, 0]
robing	-1.5	1.56525	[0, 0, 0, 0, -2, -3, -3, -4, -3, 0]
robs	-2.0	1.0	[-2, -1, -3, -2, -2, -1, -4, -3, -1, -1]
robust	1.4	1.42829	[1, 0, 0, 1, 4, 0, 2, 3, 3, 0]
roflcopter	2.1	0.53852	[2, 2, 2, 1, 3, 2, 3, 2, 2, 2]
romance	2.6	0.66332	[2, 3, 4, 2, 3, 2, 3, 2, 3, 2]
romanced	2.2	0.87178	[2, 3, 2, 4, 2, 1, 2, 3, 1, 2]
romancer	1.3	1.1	[0, 0, 2, 2, 2, 2, 3, 2, 0, 0]
romancers	1.7	1.00499	[0, 2, 2, 2, 2, 2, 1, 3, 0, 3]
romances	1.3	0.9	[0, 1, 2, 2, 2, 2, 2, 2, 0, 0]
romancing	2.0	0.89443	[4, 1, 1, 2, 2, 2, 2, 1, 3, 2]
romantic	1.7	0.78102	[2, 2, 2, 1, 2, 3, 2, 2, 0, 1]
romantically	1.8	0.87178	[3, 1, 2, 0, 1, 2, 2, 2, 3, 2]
romanticise	1.7	1.61555	[-1, 4, 2, 1, 3, 1, 3, 3, 2, -1]
romanticised	1.7	0.9	[2, 2, 2, 2, 2, 2, 3, 0, 2, 0]
romanticises	1.3	1.1	[2, 2, 1, 1, 1, 2, 3, -1, 2, 0]
romanticising	2.7	0.78102	[3, 3, 3, 2, 1, 3, 2, 3, 4, 3]
romanticism	2.2	1.32665	[1, 4, 2, 1, 3, 1, 3, 3, 4, 0]
romanticisms	2.1	0.9434	[2, 3, 2, 1, 2, 3, 3, 2, 3, 0]
romanticist	1.9	1.3	[1, 4, 2, 0, 3, 1, 2, 3, 3, 0]
romanticists	1.3	1.00499	[2, 0, 0, 1, 3, 3, 1, 1, 1, 1]
romanticization	1.5	1.36015	[1, 3, 2, 2, -1, 2, 0, 1, 4, 1]
romanticizations	2.0	1.0	[4, 1, 3, 1, 2, 3, 1, 2, 2, 1]
romanticize	1.8	0.9798	[2, 2, 1, 1, 2, 1, 3, 3, 3, 0]
romanticized	0.9	1.22066	[0, 1, 1, 3, -1, 0, 1, 1, 3, 0]
romanticizes	1.8	0.87178	[2, 3, 2, 1, 2, 3, 0, 1, 2, 2]
romanticizing	1.2	1.07703	[0, 1, 2, 1, 3, 0, 1, 1, 0, 3]
romantics	1.9	0.83066	[2, 3, 2, 1, 0, 2, 3, 2, 2, 2]
rotten	-2.3	0.78102	[-2, -3, -1, -3, -3, -1, -3, -2, -3, -2]
rude	-2.0	0.44721	[-2, -1, -3, -2, -2, -2, -2, -2, -2, -2]
rudely	-2.2	0.87178	[-3, -2, -3, -1, -2, -4, -2, -2, -1, -2]
rudeness	-1.5	0.67082	[-2, -1, -1, -1, -1, -3, -2, -2, -1, -1]
ruder	-2.1	0.83066	[-2, -1, -4, -2, -3, -1, -2, -2, -2, -2]
ruderal	-0.8	1.46969	[-3, 0, -1, -2, 0, -1, -3, 0, 2, 0]
ruderals	-0.4	0.66332	[0, -1, 0, -2, 0, -1, 0, 0, 0, 0]
rudesby	-2.0	0.7746	[-2, -3, -2, -2, -1, -3, -1, -1, -2, -3]
rudest	-2.5	0.5	[-3, -2, -3, -3, -2, -2, -2, -3, -2, -3]
ruin	-2.8	0.87178	[-3, -3, -1, -4, -4, -3, -3, -2, -2, -3]
ruinable	-1.6	0.8	[-1, -2, -1, -3, -1, -3, -1, -1, -2, -1]
ruinate	-2.8	0.87178	[-4, -4, -3, -3, -1, -3, -3, -3, -2, -2]
ruinated	-1.5	1.56525	[0, -4, 0, -4, -1, -2, 0, -1, -3, 0]
ruinates	-1.5	1.56525	[0, -4, 0, -4, -1, -2, 0, -1, -3, 0]
ruinating	-1.5	1.20416	[-2, -2, -2, -3, 0, -1, 1, -3, -1, -2]
ruination	-2.7	1.00499	[-4, -4, -3, -3, -2, -1, -3, -3, -3, -1]
ruinations	-1.6	1.35647	[-2, -2, -3, -4, 0, -1, 1, -2, -1, -2]
ruined	-2.1	0.7	[-3, -2, -2, -1, -2, -2, -3, -3, -1, -2]
ruiner	-2.0	0.63246	[-1, -3, -2, -2, -1, -2, -3, -2, -2, -2]
ruing	-1.6	0.91652	[-2, -1, -2, -1, -1, -1, -3, 0, -3, -2]
ruining	-1.0	1.94936	[-3, -3, 0, -2, 1, -3, 2, -2, 2, -2]
ruinous	-2.7	0.78102	[-2, -3, -3, -3, -3, -4, -2, -3, -1, -3]
ruinously	-2.6	0.8	[-3, -2, -2, -3, -1, -3, -4, -2, -3, -3]
ruinousness	-1.0	1.09545	[-1, -2, -3, -1, -1, -2, 1, 0, -1, 0]
ruins	-1.9	0.9434	[-1, -2, -1, -2, -1, -2, -4, -1, -3, -2]
sabotage	-2.4	0.91652	[-3, -3, -3, -2, -2, -4, -2, -3, -1, -1]
sad	-2.1	0.9434	[-1, -1, -2, -2, -3, -2, -3, -2, -4, -1]
sadden	-2.6	0.4899	[-2, -3, -2, -3, -2, -3, -2, -3, -3, -3]
saddened	-2.4	0.4899	[-3, -2, -3, -2, -3, -3, -2, -2, -2, -2]
saddening	-2.2	0.4	[-3, -2, -2, -2, -2, -2, -3, -2, -2, -2]
saddens	-1.9	0.7	[-3, -1, -1, -1, -2, -2, -2, -2, -3, -2]
sadder	-2.4	0.91652	[-2, -2, -3, -4, -3, -1, -3, -1, -2, -3]
saddest	-3.0	0.63246	[-4, -3, -2, -3, -3, -2, -3, -4, -3, -3]
sadly	-1.8	0.6	[-2, -2, -2, -1, -2, -3, -2, -1, -1, -2]
sadness	-1.9	0.3	[-2, -1, -2, -2, -2, -2, -2, -2, -2, -2]
safe	1.9	0.3	[2, 1, 2, 2, 2, 2, 2, 2, 2, 2]
safecracker	-0.7	1.61555	[-3, -2, 0, -3, 0, -2, 0, 1, 2, 0]
safecrackers	-0.9	1.04403	[-1, 0, -2, 0, -1, 0, 0, -3, 0, -2]
safecracking	-0.9	0.9434	[0, 0, 0, 0, -2, 0, -1, -2, -2, -2]
safecrackings	-0.7	1.67631	[-2, -1, -2, -4, 2, -1, -1, 0, 1, 1]
safeguard	1.6	0.4899	[2, 2, 1, 1, 1, 2, 2, 2, 2, 1]
safeguarded	1.5	0.92195	[1, 2, 2, 0, 2, 0, 3, 1, 2, 2]
safeguarding	1.1	0.7	[2, 1, 1, 0, 1, 0, 2, 1, 1, 2]
safeguards	1.4	0.66332	[1, 2, 1, 1, 0, 2, 2, 2, 2, 1]
safekeeping	1.4	0.66332	[3, 1, 1, 2, 1, 1, 2, 1, 1, 1]
safelight	1.1	1.22066	[0, 3, 0, 2, 0, 3, 0, 2, 1, 0]
safelights	0.8	1.07703	[0, 3, 1, 0, 0, 2, 0, 2, 0, 0]
safely	2.2	0.74833	[2, 2, 2, 3, 4, 2, 2, 1, 2, 2]
safeness	1.5	0.67082	[1, 1, 1, 1, 3, 1, 2, 2, 2, 1]
safer	1.8	0.6	[2, 1, 2, 3, 2, 2, 1, 1, 2, 2]
safes	0.4	0.8	[0, 0, 2, 0, 0, 0, 0, 0, 2, 0]
safest	1.7	1.61555	[2, 2, 2, 2, -3, 3, 3, 2, 2, 2]
safeties	1.5	1.0247	[2, 0, 1, 3, 2, 1, 3, 1, 0, 2]
safety	1.8	0.6	[2, 2, 2, 2, 1, 1, 2, 3, 1, 2]
safetyman	0.3	0.64031	[0, 0, 0, 0, 2, 0, 1, 0, 0, 0]
salient	1.1	1.22066	[1, 3, 0, -1, 0, 1, 2, 1, 1, 3]
sappy	-1.0	1.18322	[-2, -1, 2, -2, -2, 0, -1, -1, -2, -1]
sarcasm	-0.9	0.7	[0, -2, -1, -1, 0, 0, -1, -1, -2, -1]
sarcasms	-0.9	0.7	[0, -1, 0, -1, -1, -2, 0, -1, -1, -2]
sarcastic	-1.0	0.7746	[-1, -1, -1, -1, -1, -1, -1, -2, 1, -2]
sarcastically	-1.1	1.37477	[-1, -4, 1, -1, -1, -2, 1, -2, -1, -1]
satisfaction	1.9	0.9434	[1, 3, 2, 4, 2, 1, 1, 1, 2, 2]
satisfactions	2.1	0.7	[3, 3, 3, 1, 2, 2, 1, 2, 2, 2]
satisfactorily	1.6	1.11355	[1, 2, 2, -1, 2, 1, 3, 3, 1, 2]
satisfactoriness	1.5	0.5	[1, 2, 1, 2, 2, 1, 2, 1, 2, 1]
satisfactory	1.5	0.67082	[2, 3, 1, 1, 1, 2, 2, 1, 1, 1]
satisfiable	1.9	0.83066	[3, 1, 2, 1, 2, 3, 1, 2, 3, 1]
satisfied	1.8	0.6	[2, 2, 2, 1, 1, 2, 3, 1, 2, 2]
satisfies	1.8	0.6	[3, 1, 2, 1, 1, 2, 2, 2, 2, 2]
satisfy	2.0	0.63246	[3, 2, 2, 2, 2, 1, 1, 2, 3, 2]
satisfying	2.0	1.48324	[2, 3, 2, 1, 3, 3, 3, 2, -2, 3]
satisfyingly	1.9	0.9434	[1, 2, 2, 1, 2, 1, 4, 1, 3, 2]
savage	-2.0	1.73205	[-3, -4, -3, 1, -2, -1, -3, -4, -2, 1]
savaged	-2.0	1.34164	[-1, 0, -4, -3, -3, -3, -2, 0, -1, -3]
savagely	-2.2	0.74833	[-2, -1, -3, -2, -2, -1, -2, -3, -3, -3]
savageness	-2.6	1.0198	[-3, -1, -2, -3, -2, -1, -4, -4, -3, -3]
savagenesses	-0.9	1.86815	[-2, 3, -1, -3, -2, 2, -3, -1, -1, -1]
savageries	-1.9	1.75784	[-3, 1, -3, -4, -3, 1, -2, -3, 0, -3]
savagery	-2.5	1.62788	[-2, -3, -3, -3, 2, -3, -3, -4, -4, -2]
savages	-2.4	1.0198	[-2, -2, -3, -4, -3, -3, -2, 0, -2, -3]
save	2.2	1.16619	[1, 3, 3, 1, 2, 1, 2, 4, 1, 4]
saved	1.8	0.6	[1, 2, 2, 2, 1, 3, 2, 2, 1, 2]
scam	-2.7	0.64031	[-2, -3, -3, -3, -2, -2, -4, -3, -3, -2]
scams	-2.8	0.87178	[-3, -1, -3, -4, -4, -3, -2, -2, -3, -3]
scandal	-1.9	1.81384	[-3, -2, -2, -4, 3, -3, -3, -1, -2, -2]
scandalous	-2.4	0.8	[-2, -1, -3, -2, -4, -2, -3, -3, -2, -2]
scandals	-2.2	0.9798	[-2, -3, -3, -2, -1, 0, -3, -3, -2, -3]
scapegoat	-1.7	0.64031	[-3, -2, -2, -2, -1, -1, -1, -2, -1, -2]
scapegoats	-1.4	0.8	[-1, -2, -2, -1, 0, -2, -2, 0, -2, -2]
scare	-2.2	0.87178	[-2, -2, -4, -2, -3, -1, -2, -1, -2, -3]
scarecrow	-0.8	0.9798	[-1, 0, -1, 0, 0, 0, -2, -3, -1, 0]
scarecrows	-0.7	1.1	[2, 0, -1, -1, -1, -2, -1, -2, 0, -1]
scared	-1.9	0.7	[-1, -1, -2, -3, -2, -3, -1, -2, -2, -2]
scaremonger	-2.1	0.53852	[-1, -2, -2, -3, -2, -2, -3, -2, -2, -2]
scaremongers	-2.0	1.0	[-2, -2, 0, -4, -2, -2, -1, -2, -3, -2]
scarer	-1.7	0.78102	[-2, -1, -1, -2, -3, -1, -3, -1, -2, -1]
scarers	-1.3	0.9	[-1, -2, -1, 0, 0, -1, -3, -2, -1, -2]
scares	-1.4	0.4899	[-1, -1, -2, -1, -1, -2, -1, -2, -2, -1]
scarey	-1.7	0.64031	[-1, -1, -2, -2, -1, -2, -1, -2, -3, -2]
scaring	-1.9	1.22066	[-3, -2, -1, -3, -1, -3, -2, -2, 1, -3]
scary	-2.2	0.87178	[-2, -1, -4, -3, -3, -2, -2, -2, -2, -1]
sceptic	-1.0	0.89443	[-3, 0, -1, -1, -1, 0, 0, -2, -1, -1]
sceptical	-1.2	0.4	[-1, -1, -1, -1, -1, -1, -1, -2, -2, -1]
scepticism	-0.8	0.87178	[-1, -2, -2, 0, 0, -1, 1, -1, -1, -1]
sceptics	-0.7	0.78102	[0, 0, 0, -1, -2, 0, -1, -1, 0, -2]
scold	-1.7	0.78102	[-2, -1, -1, -1, -3, -3, -2, -2, -1, -1]
scoop	0.6	0.8	[0, 0, 1, 0, 2, 0, 2, 0, 1, 0]
scorn	-1.7	0.64031	[-2, -3, -2, -1, -1, -1, -1, -2, -2, -2]
scornful	-1.8	1.16619	[-3, -3, -2, -1, -4, 0, -2, -1, -1, -1]
scream	-1.7	0.78102	[0, -3, -1, -1, -2, -2, -2, -2, -2, -2]
screamed	-1.3	1.1	[-2, -3, -2, -1, -1, -2, -2, -1, 1, 0]
screamers	-1.5	0.92195	[-2, -1, -2, -2, -2, -2, -1, -2, 1, -2]
screaming	-1.6	0.8	[0, -1, -1, -2, -3, -1, -2, -2, -2, -2]
screams	-1.2	0.9798	[-1, -2, -2, -1, -1, -2, 1, -2, 0, -2]
screw	-0.4	0.91652	[-1, -2, -1, 0, 0, 1, 0, -1, 1, -1]
screwball	-0.2	0.87178	[0, -1, 0, 0, 1, 1, -1, 0, -2, 0]
screwballs	-0.3	1.00499	[-2, 0, -2, -1, 0, 1, 0, 1, 0, 0]
screwbean	0.3	0.64031	[0, 0, 0, 0, 0, 1, 0, 2, 0, 0]
screwdriver	0.3	0.45826	[1, 0, 0, 0, 0, 1, 0, 0, 1, 0]
screwdrivers	0.1	0.53852	[-1, 0, 0, 1, 0, 0, 0, 1, 0, 0]
screwed	-2.2	0.4	[-2, -2, -2, -2, -2, -3, -3, -2, -2, -2]
screwed up	-1.5	0.67082	[-2, -2, -2, -1, -1, 0, -2, -1, -2, -2]
screwer	-1.2	0.87178	[-1, -2, -1, -2, 0, 0, -2, 0, -2, -2]
screwers	-0.5	1.5	[-2, -2, 0, -2, 0, 2, 2, -1, 0, -2]
screwier	-0.6	1.2	[0, -1, 2, -2, -1, -2, -1, -1, 1, -1]
screwiest	-2.0	0.89443	[-3, -2, -2, -4, -1, -2, -1, -1, -2, -2]
screwiness	-0.5	1.80278	[-2, 0, -2, 3, -2, -1, -2, 1, 2, -2]
screwing	-0.9	0.9434	[-1, 0, 0, 0, -1, -1, -3, -2, 0, -1]
screwlike	0.1	1.04403	[2, -1, 0, 0, 0, 1, 0, 1, -2, 0]
screws	-1.0	1.09545	[0, -3, 0, 0, -1, 0, -2, -2, -2, 0]
screwup	-1.7	0.9	[-2, -2, -2, 1, -2, -2, -2, -2, -2, -2]
screwups	-1.0	1.61245	[-2, -2, -2, -2, 0, 2, -2, -2, 2, -2]
screwworm	-0.4	0.66332	[0, -1, 0, 0, 0, 0, -2, 0, -1, 0]
screwworms	-0.1	1.22066	[-3, 0, -1, 0, 0, 0, 0, 2, 1, 0]
screwy	-1.4	0.8	[-2, -2, -1, -1, -1, 0, -2, -1, -3, -1]
scrumptious	2.1	1.22066	[3, 3, 0, 3, 2, 3, 1, 3, 0, 3]
scrumptiously	1.5	1.43178	[2, 3, 3, -2, 1, 1, 2, 3, 1, 1]
scumbag	-3.2	0.6	[-4, -3, -3, -2, -3, -4, -3, -3, -4, -3]
secure	1.4	0.4899	[1, 2, 1, 1, 2, 1, 1, 2, 2, 1]
secured	1.7	0.78102	[2, 2, 3, 1, 1, 2, 2, 0, 2, 2]
securely	1.4	0.8	[2, 0, 1, 2, 1, 1, 1, 3, 2, 1]
securement	1.1	0.7	[0, 2, 1, 1, 1, 0, 2, 2, 1, 1]
secureness	1.4	0.66332	[2, 1, 1, 3, 1, 1, 1, 1, 2, 1]
securer	1.5	0.67082	[1, 2, 2, 2, 1, 2, 1, 0, 2, 2]
securers	0.6	0.91652	[1, 3, 0, 0, 1, 0, 0, 0, 0, 1]
secures	1.3	0.64031	[1, 2, 2, 1, 1, 2, 1, 0, 2, 1]
securest	2.6	0.8	[3, 3, 2, 3, 1, 4, 3, 2, 2, 3]
securing	1.3	1.00499	[0, 3, 1, 1, 1, 3, 1, 1, 2, 0]
securities	1.2	0.6	[1, 2, 2, 2, 1, 1, 1, 0, 1, 1]
securitization	0.2	1.07703	[0, 0, 1, -1, 1, 0, -2, 0, 2, 1]
securitizations	0.1	0.9434	[0, 0, 0, 0, 2, 0, -2, 0, 1, 0]
securitize	0.3	1.34536	[2, 1, 0, 0, 2, 0, 1, 0, -3, 0]
securitized	1.4	1.0198	[3, 0, 2, 2, 0, 1, 2, 2, 0, 2]
securitizes	1.6	1.0198	[3, 0, 2, 2, 0, 1, 3, 2, 1, 2]
securitizing	0.7	0.9	[2, 0, 0, 1, 2, 0, 2, 0, 0, 0]
security	1.4	0.8	[1, 2, 3, 2, 1, 1, 2, 0, 1, 1]
sedition	-1.8	1.249	[-3, -4, -2, -2, -2, -2, -1, -1, -2, 1]
seditious	-1.7	0.64031	[-1, -2, -2, -1, -1, -1, -3, -2, -2, -2]
seduced	-1.5	0.67082	[0, -1, -2, -2, -2, -2, -1, -1, -2, -2]
self-confident	2.5	0.80623	[1, 3, 3, 3, 2, 3, 1, 3, 3, 3]
selfish	-2.1	0.7	[-1, -2, -2, -3, -1, -2, -2, -2, -3, -3]
selfishly	-1.4	0.91652	[-3, 0, -1, -1, -1, -2, -3, -1, -1, -1]
selfishness	-1.7	0.64031	[-1, -1, -1, -2, -2, -1, -2, -2, -3, -2]
selfishnesses	-2.0	1.94936	[-4, -3, -1, -3, -2, -4, 2, 1, -3, -3]
sentence	0.3	0.64031	[0, 0, 0, 0, 1, 2, 0, 0, 0, 0]
sentenced	-0.1	1.3	[0, -2, 2, -1, 0, -2, 2, 0, 0, 0]
sentences	0.2	1.07703	[0, 0, 2, 0, 0, -2, 2, 0, 0, 0]
sentencing	-0.6	1.8	[-2, 0, -3, -2, 2, 3, 0, -1, -1, -2]
sentimental	1.3	0.64031	[2, 1, 1, 2, 1, 0, 1, 2, 2, 1]
sentimentalise	1.2	0.87178	[2, 1, 0, 3, 2, 1, 1, 0, 1, 1]
sentimentalised	0.8	1.16619	[2, 1, 1, 0, 0, 2, 3, -1, 0, 0]
sentimentalising	0.4	0.91652	[0, 2, 0, 0, 0, -1, 1, 0, 2, 0]
sentimentalism	1.0	0.63246	[2, 1, 0, 2, 1, 1, 1, 0, 1, 1]
sentimentalisms	0.4	0.8	[0, 1, 1, 0, 0, 2, 1, 0, 0, -1]
sentimentalist	0.8	0.87178	[2, 1, 0, 2, 0, 1, 2, 0, 0, 0]
sentimentalists	0.7	0.78102	[0, 0, 1, 0, 0, 1, 1, 2, 0, 2]
sentimentalities	0.9	0.83066	[2, 1, 1, 2, 1, 0, 0, 2, 0, 0]
sentimentality	1.2	1.46969	[-2, 1, 1, 2, 2, 0, 4, 2, 1, 1]
sentimentalization	1.2	0.87178	[0, 1, 2, 0, 1, 1, 3, 1, 2, 1]
sentimentalizations	0.4	0.8	[0, 1, 0, 1, 0, 0, 0, 2, -1, 1]
sentimentalize	0.8	1.07703	[2, 0, 0, 2, 0, 2, 1, -1, 2, 0]
sentimentalized	1.1	1.22066	[3, 0, 2, 0, 1, 3, 2, 0, 0, 0]
sentimentalizes	1.1	1.37477	[3, 0, 1, 0, 1, 4, 2, 0, 0, 0]
sentimentalizing	0.8	0.87178	[1, 1, 1, 1, 2, 0, -1, 1, 0, 2]
sentimentally	1.9	0.9434	[3, 2, 3, 1, 0, 2, 1, 2, 3, 2]
serene	2.0	1.0	[1, 1, 3, 2, 2, 4, 3, 2, 1, 1]
serious	-0.3	0.45826	[0, -1, 0, -1, -1, 0, 0, 0, 0, 0]
seriously	-0.7	1.34536	[-3, -2, 0, 0, -1, -2, 2, -1, 0, 0]
seriousness	-0.2	1.16619	[0, 2, 0, 0, 0, 0, -3, -1, 0, 0]
severe	-1.6	1.8	[-3, -2, -4, 1, -2, -3, 2, -1, -1, -3]
severed	-1.5	0.5	[-1, -1, -2, -1, -2, -1, -1, -2, -2, -2]
severely	-2.0	0.89443	[-2, -1, -1, -2, -2, -1, -3, -2, -4, -2]
severeness	-1.0	1.73205	[0, 0, -1, -4, 1, -2, 0, 1, -1, -4]
severer	-1.6	1.49666	[-2, -3, -2, -1, -2, 2, -4, -1, -1, -2]
severest	-1.5	1.85742	[-4, -1, 2, -2, -2, -3, -4, -1, 1, -1]
sexy	2.4	0.8	[2, 3, 3, 4, 2, 2, 2, 2, 3, 1]
shake	-0.7	0.9	[-2, 0, 0, -2, 1, -1, 0, -1, -1, -1]
shakeable	-0.3	1.00499	[2, -1, 0, 0, -1, -2, 0, 0, -1, 0]
shakedown	-1.2	0.4	[-2, -1, -1, -1, -2, -1, -1, -1, -1, -1]
shakedowns	-1.4	0.8	[-2, -1, -1, -3, -1, -1, 0, -2, -2, -1]
shaken	-0.3	0.9	[-1, -1, 1, -1, 1, 0, -1, 1, -1, -1]
shakeout	-1.3	0.78102	[-1, -2, 0, -1, -1, -2, -2, -2, 0, -2]
shakeouts	-0.8	1.16619	[-2, -1, 0, 0, -1, 2, -2, -1, -2, -1]
shakers	0.3	1.00499	[2, 0, 0, -1, 2, 0, 1, -1, 0, 0]
shakeup	-0.6	0.4899	[-1, 0, -1, -1, -1, 0, 0, 0, -1, -1]
shakeups	-0.5	0.92195	[2, -1, 0, 0, -1, -1, -1, -1, -1, -1]
shakier	-0.9	0.3	[-1, -1, 0, -1, -1, -1, -1, -1, -1, -1]
shakiest	-1.2	0.74833	[-1, 0, 0, -1, -1, -1, -2, -2, -2, -2]
shakily	-0.7	0.45826	[-1, -1, -1, -1, -1, 0, 0, 0, -1, -1]
shakiness	-0.7	1.1	[2, -1, -1, -1, -2, -1, -1, -2, 0, 0]
shaking	-0.7	0.45826	[-1, -1, -1, 0, -1, -1, 0, 0, -1, -1]
shaky	-0.9	0.3	[-1, -1, -1, 0, -1, -1, -1, -1, -1, -1]
shame	-2.1	0.53852	[-2, -2, -2, -3, -3, -1, -2, -2, -2, -2]
shamed	-2.6	0.4899	[-2, -3, -3, -2, -3, -3, -3, -2, -2, -3]
shamefaced	-2.3	0.64031	[-2, -2, -2, -3, -3, -3, -3, -1, -2, -2]
shamefacedly	-1.9	0.3	[-2, -2, -2, -2, -2, -2, -2, -1, -2, -2]
shamefacedness	-2.0	0.89443	[-1, -1, -2, -2, -2, -1, -2, -4, -2, -3]
shamefast	-1.0	0.44721	[-1, -1, 0, -1, -1, -1, -1, -2, -1, -1]
shameful	-2.2	0.6	[-3, -3, -2, -2, -2, -3, -1, -2, -2, -2]
shamefully	-1.9	0.7	[-2, -3, -1, -3, -1, -2, -2, -1, -2, -2]
shamefulness	-2.4	0.4899	[-2, -3, -3, -2, -3, -2, -3, -2, -2, -2]
shamefulnesses	-2.3	0.78102	[-4, -2, -2, -2, -3, -1, -2, -2, -3, -2]
shameless	-1.4	1.0198	[-1, -1, 1, -2, -3, -1, -2, -2, -1, -2]
shamelessly	-1.4	1.0198	[-1, 0, -1, -2, 0, -1, -3, -3, -1, -2]
shamelessness	-1.4	1.0198	[-1, -3, -2, 1, -2, -1, -2, -2, -1, -1]
shamelessnesses	-2.0	1.0	[-2, 0, -2, -4, -2, -1, -2, -3, -2, -2]
shames	-1.7	0.9	[-3, -3, -3, -1, -1, -1, -1, -1, -1, -2]
share	1.2	0.74833	[0, 1, 1, 2, 2, 2, 1, 1, 0, 2]
shared	1.4	0.4899	[2, 2, 2, 1, 2, 1, 1, 1, 1, 1]
shares	1.2	0.87178	[0, 2, 1, 1, 0, 2, 2, 2, 2, 0]
sharing	1.8	0.6	[2, 2, 1, 2, 2, 3, 1, 1, 2, 2]
shattered	-2.1	0.7	[-1, -3, -3, -2, -2, -2, -3, -2, -1, -2]
shit	-2.6	1.0198	[-2, -1, -4, -3, -4, -4, -2, -2, -2, -2]
shitake	-0.3	1.26886	[-4, 0, 0, 0, 0, 0, 0, 0, 1, 0]
shitakes	-1.1	1.7	[0, -4, 0, 0, 0, 0, -3, 0, -4, 0]
shithead	-3.1	0.83066	[-3, -4, -4, -3, -4, -3, -1, -3, -3, -3]
shitheads	-2.6	1.35647	[-2, -3, -4, -3, -3, -3, -2, -4, 1, -3]
shits	-2.1	1.22066	[-3, 0, -3, 0, -2, -4, -2, -2, -2, -3]
shittah	0.1	1.3	[-2, -2, 0, 2, 0, 0, 0, 0, 1, 2]
shitted	-1.7	0.64031	[-2, -1, -2, -1, -2, -2, -3, -1, -2, -1]
shittier	-2.1	0.83066	[-3, -3, -2, -1, -1, -1, -3, -2, -2, -3]
shittiest	-3.4	0.66332	[-3, -4, -3, -4, -4, -4, -3, -3, -4, -2]
shittim	-0.6	1.0198	[-3, 0, 0, 0, 0, -2, 0, 0, -1, 0]
shittimwood	-0.3	0.9	[0, 0, -3, 0, 0, 0, 0, 0, 0, 0]
shitting	-1.8	0.9798	[-1, -2, -2, -1, -3, -1, -1, -2, -4, -1]
shitty	-2.6	0.8	[-3, -4, -2, -3, -3, -2, -3, -1, -2, -3]
shock	-1.6	0.91652	[0, -3, -1, -2, -1, -2, -2, -1, -3, -1]
shockable	-1.0	1.0	[-3, -1, -1, 0, 0, -2, -1, -2, 0, 0]
shocked	-1.3	1.18743	[-2, -1, -1, 0, 0, -2, 0, -2, -1, -4]
shocker	-0.6	1.49666	[-2, -1, 3, -1, 0, -3, -1, 0, -1, 0]
shockers	-1.1	0.9434	[-1, -2, -2, -1, -1, 0, 0, -3, 0, -1]
shocking	-1.7	1.34536	[-3, -3, 0, -1, 0, -3, 0, -1, -3, -3]
shockingly	-0.7	1.48661	[-2, 0, -1, -3, -3, 0, 2, 0, 0, 0]
shockproof	1.3	0.64031	[1, 0, 1, 1, 2, 2, 1, 2, 1, 2]
shocks	-1.6	0.91652	[-3, -1, 0, -1, -2, -2, -1, -3, -2, -1]
shook	-0.4	0.66332	[-1, -2, 0, 0, 0, 0, 0, 0, 0, -1]
shoot	-1.4	1.11355	[-1, -4, -1, -1, -2, 0, -2, 0, -1, -2]
short-sighted	-1.2	0.6	[0, -1, -2, -2, -1, -1, -1, -2, -1, -1]
short-sightedness	-1.1	1.37477	[-1, -2, -2, -2, -3, -1, 0, 2, 0, -2]
shortage	-1.0	1.09545	[-2, -2, -1, -2, -1, -1, 2, -1, -1, -1]
shortages	-0.6	1.0198	[0, -2, -1, -1, 0, -2, 1, 1, -1, -1]
shrew	-0.9	1.04403	[-2, -1, -2, -2, 1, 0, 0, 0, -1, -2]
shy	-1.0	0.0	[-1, -1, -1, -1, -1, -1, -1, -1, -1, -1]
shyer	-0.8	0.6	[-1, -1, -1, -1, 0, -1, 0, 0, -2, -1]
shying	-0.9	0.83066	[-1, -2, -1, 0, -2, 0, 0, 0, -2, -1]
shylock	-2.1	1.13578	[-2, -2, -2, 0, -3, -3, -3, -3, 0, -3]
shylocked	-0.7	1.00499	[0, -3, -1, 0, 0, -2, 0, -1, 0, 0]
shylocking	-1.5	1.11803	[0, -2, -3, 0, -1, -3, -2, 0, -2, -2]
shylocks	-1.4	1.11355	[0, -2, -1, -2, -3, 0, -3, -1, -2, 0]
shyly	-0.7	0.45826	[-1, -1, -1, -1, 0, 0, -1, 0, -1, -1]
shyness	-1.3	1.00499	[-2, 0, -3, 0, -1, -2, -2, -1, -2, 0]
shynesses	-1.2	0.6	[-2, -1, -1, -2, -1, -2, 0, -1, -1, -1]
shyster	-1.6	0.66332	[-2, -1, -2, -3, -2, -1, -1, -1, -1, -2]
shysters	-0.9	0.7	[0, -2, 0, 0, -2, -1, -1, -1, -1, -1]
sick	-2.3	0.78102	[-1, -2, -3, -2, -2, -4, -3, -2, -2, -2]
sicken	-1.9	0.7	[-2, -3, -1, -3, -1, -1, -2, -2, -2, -2]
sickened	-2.5	0.92195	[-3, -2, -4, -3, -1, -1, -3, -3, -2, -3]
sickener	-2.2	0.87178	[-3, -1, -2, -3, -1, -1, -3, -3, -2, -3]
sickeners	-2.2	0.6	[-3, -1, -2, -3, -2, -3, -2, -2, -2, -2]
sickening	-2.4	0.91652	[-3, -4, -1, -3, -2, -2, -1, -3, -2, -3]
sickeningly	-2.1	0.7	[-3, -3, -1, -2, -2, -1, -3, -2, -2, -2]
sickens	-2.0	0.63246	[-2, -1, -2, -2, -3, -2, -1, -2, -3, -2]
sigh	0.1	1.22066	[2, -1, -1, -1, 0, 2, 1, 1, -1, -1]
significance	1.1	1.22066	[0, 0, 0, 1, 3, 2, 3, 2, 0, 0]
significant	0.8	0.9798	[1, 0, 1, 3, 0, 1, 0, 0, 2, 0]
silencing	-0.5	0.67082	[-2, -1, 0, 0, 0, 0, 0, -1, 0, -1]
sillibub	-0.1	0.3	[0, 0, 0, 0, -1, 0, 0, 0, 0, 0]
sillier	1.0	0.7746	[1, 1, 0, 2, 0, 1, 1, 2, 2, 0]
sillies	0.8	0.74833	[2, 1, 0, 1, 0, 1, 0, 2, 1, 0]
silliest	0.8	0.9798	[0, 1, 1, 1, 1, 0, 3, 1, -1, 1]
sillily	-0.1	1.04403	[1, -1, -1, -1, 2, 1, -1, 0, 0, -1]
sillimanite	0.1	0.3	[1, 0, 0, 0, 0, 0, 0, 0, 0, 0]
sillimanites	0.2	0.6	[0, 0, 0, 0, 2, 0, 0, 0, 0, 0]
silliness	-0.9	1.22066	[1, -3, -1, 0, 1, -1, -2, -1, -2, -1]
sillinesses	-1.2	1.46969	[-3, -2, -3, 0, -2, 0, 1, -2, -2, 1]
silly	0.1	1.04403	[1, 1, 0, 0, 0, 2, -1, -2, 0, 0]
sin	-2.6	0.8	[-2, -4, -3, -2, -2, -2, -4, -3, -2, -2]
sincere	1.7	0.78102	[1, 2, 3, 0, 2, 2, 2, 2, 1, 2]
sincerely	2.1	1.04403	[1, 3, 2, 4, 2, 3, 1, 1, 3, 1]
sincereness	1.8	0.74833	[3, 1, 1, 2, 2, 3, 1, 2, 2, 1]
sincerer	2.0	1.0	[1, 3, 3, 2, 3, 2, 1, 3, 0, 2]
sincerest	2.0	1.34164	[0, 3, 1, 1, 4, 2, 1, 4, 1, 3]
sincerities	1.5	0.67082	[2, 1, 1, 1, 1, 1, 3, 2, 2, 1]
sinful	-2.6	0.8	[-4, -3, -3, -2, -1, -2, -3, -2, -3, -3]
singleminded	1.2	0.87178	[1, 2, 0, 0, 3, 2, 1, 1, 1, 1]
sinister	-2.9	1.13578	[-4, -4, -1, -3, -1, -4, -3, -3, -2, -4]
sins	-2.0	1.0	[-2, -1, -2, -3, -1, -4, -3, -2, -1, -1]
skeptic	-0.9	1.13578	[0, 0, -1, -1, -1, 0, -2, -2, 1, -3]
skeptical	-1.3	0.9	[0, -3, -2, -2, -1, -2, 0, -1, -1, -1]
skeptically	-1.2	0.4	[-1, -1, -1, -1, -1, -1, -2, -1, -1, -2]
skepticism	-1.0	0.89443	[0, 0, -1, -1, -1, -1, 0, -1, -3, -2]
skepticisms	-1.2	0.9798	[1, -2, 0, -1, -2, -1, -2, -2, -1, -2]
skeptics	-0.4	0.91652	[-2, 0, 0, -1, -1, 1, -1, 0, 1, -1]
slam	-1.6	1.11355	[-2, -1, -3, -1, -3, -2, -1, -2, 1, -2]
slash	-1.1	1.22066	[-2, -3, -2, 0, -2, 0, -1, -2, 0, 1]
slashed	-0.9	0.83066	[-2, -1, -2, -1, -1, 0, 1, -1, -1, -1]
slashes	-0.8	0.6	[0, -1, -2, -1, 0, 0, -1, -1, -1, -1]
slashing	-1.1	1.86815	[-3, -2, -3, -3, 3, 1, 0, -1, -2, -1]
slavery	-3.8	0.4	[-4, -3, -4, -3, -4, -4, -4, -4, -4, -4]
sleeplessness	-1.6	1.49666	[-3, -4, -2, -1, -2, -2, -2, 2, -1, -1]
slicker	0.4	1.28062	[-2, 1, -1, 2, 0, 0, 2, 2, 0, 0]
slickest	0.3	1.00499	[1, 0, -1, 0, -1, 0, 0, 0, 2, 2]
sluggish	-1.7	0.64031	[-1, -2, -1, -3, -2, -2, -1, -2, -1, -2]
slut	-2.8	0.87178	[-4, -2, -2, -1, -3, -3, -3, -3, -4, -3]
sluts	-2.7	1.48661	[-3, -3, -4, -4, -3, -4, -1, -3, 1, -3]
sluttier	-2.7	1.18743	[-2, -2, -4, -3, -4, -4, -1, -1, -2, -4]
sluttiest	-3.1	0.83066	[-3, -4, -3, -4, -3, -4, -2, -2, -4, -2]
sluttish	-2.2	0.87178	[-2, -3, -3, -2, -2, -4, -2, -1, -1, -2]
sluttishly	-2.1	1.13578	[-2, 0, -2, -3, -1, -2, -3, -1, -3, -4]
sluttishness	-2.5	0.92195	[-2, -1, -3, -4, -2, -1, -3, -3, -3, -3]
sluttishnesses	-2.0	1.09545	[0, -2, -1, -3, -3, -1, -3, -1, -3, -3]
slutty	-2.3	0.9	[-3, -1, -3, -3, -3, -2, -1, -3, -1, -3]
smart	1.7	0.78102	[2, 2, 1, 2, 1, 3, 2, 0, 2, 2]
smartass	-2.1	0.83066	[-1, -1, -2, -3, -2, -1, -2, -3, -3, -3]
smartasses	-1.7	2.05183	[-1, -2, -3, -3, -3, -1, -2, -3, 4, -3]
smarted	0.7	1.41774	[2, 1, -2, 1, 1, 2, 2, 2, -1, -1]
smarten	1.9	0.7	[3, 1, 2, 1, 2, 2, 2, 3, 1, 2]
smartened	1.5	0.67082	[2, 2, 1, 3, 1, 1, 1, 1, 2, 1]
smartening	1.7	0.9	[1, 3, 3, 1, 1, 1, 2, 1, 1, 3]
smartens	1.5	0.5	[2, 2, 1, 1, 1, 1, 2, 2, 2, 1]
smarter	2.0	0.7746	[2, 2, 1, 1, 2, 2, 2, 2, 4, 2]
smartest	3.0	1.0	[4, 3, 4, 3, 2, 2, 4, 3, 1, 4]
smartie	1.3	0.9	[1, 4, 1, 1, 1, 1, 1, 1, 1, 1]
smarties	1.7	0.9	[1, 1, 2, 4, 2, 2, 1, 2, 1, 1]
smarting	-0.7	1.9	[2, 3, -1, -2, 1, -2, -1, -3, -2, -2]
smartly	1.5	0.67082	[2, 1, 1, 1, 1, 2, 1, 3, 1, 2]
smartness	2.0	0.89443	[1, 3, 3, 1, 2, 1, 2, 3, 1, 3]
smartnesses	1.5	0.92195	[1, 0, 1, 1, 1, 2, 1, 2, 3, 3]
smarts	1.6	0.66332	[2, 1, 3, 1, 2, 1, 2, 1, 2, 1]
smartweed	0.2	0.6	[0, 0, 0, 0, 0, 2, 0, 0, 0, 0]
smartweeds	0.1	0.53852	[0, 0, -1, 0, 0, 0, 1, 0, 0, 1]
smarty	1.1	0.53852	[0, 2, 1, 2, 1, 1, 1, 1, 1, 1]
smear	-1.5	1.20416	[-2, -1, -1, -2, -3, 0, 0, -4, -1, -1]
smilax	0.6	0.66332	[0, 2, 1, 0, 0, 0, 1, 1, 1, 0]
smilaxes	0.3	0.78102	[0, 0, 0, 0, 1, 2, 1, -1, 0, 0]
smile	1.5	0.67082	[2, 1, 1, 1, 2, 2, 3, 1, 1, 1]
smiled	2.5	0.80623	[3, 2, 3, 2, 1, 2, 3, 4, 3, 2]
smileless	-1.4	0.4899	[-1, -1, -1, -1, -2, -1, -2, -1, -2, -2]
smiler	1.7	0.78102	[1, 1, 3, 1, 3, 2, 2, 2, 1, 1]
smiles	2.1	1.04403	[2, 4, 2, 1, 3, 1, 1, 3, 1, 3]
smiley	1.7	0.78102	[1, 2, 1, 2, 2, 0, 2, 3, 2, 2]
smileys	1.5	0.92195	[1, 2, 1, 3, 1, 0, 1, 3, 1, 2]
smiling	2.0	1.18322	[2, 1, 1, 1, 2, 3, 4, 1, 4, 1]
smilingly	2.3	0.64031	[3, 2, 3, 2, 3, 1, 2, 2, 2, 3]
smog	-1.2	0.6	[-1, -1, -2, -1, -1, -2, -2, -1, 0, -1]
smother	-1.8	0.87178	[-2, -2, -3, -1, -2, -1, -2, -2, -3, 0]
smothered	-0.9	1.7	[2, -4, 0, -1, -3, -2, 0, -1, 1, -1]
smothering	-1.4	1.56205	[-2, -3, -1, -4, 0, -2, -1, 2, -1, -2]
smothers	-1.9	1.04403	[-1, -1, -3, -1, -2, -3, 0, -2, -3, -3]
smothery	-1.1	0.7	[-2, 0, -2, -1, -2, -1, 0, -1, -1, -1]
smug	0.8	1.16619	[-1, 2, 0, 2, 1, -1, 2, 1, 0, 2]
smugger	-1.0	0.89443	[1, -2, -1, -2, -1, -1, -1, 0, -2, -1]
smuggest	-1.5	1.28452	[-1, -1, -1, 1, -1, -3, -4, -2, -1, -2]
smuggle	-1.6	1.11355	[-2, -1, -1, -1, -2, 0, -1, -1, -3, -4]
smuggled	-1.5	0.92195	[-1, -1, -2, -1, -1, -1, -2, -1, -1, -4]
smuggler	-2.1	1.22066	[-1, -3, -3, -1, -1, -1, -4, -1, -2, -4]
smugglers	-1.4	1.56205	[-2, -3, -4, 1, -2, 0, -2, 1, -1, -2]
smuggles	-1.7	1.00499	[-1, -2, -2, -1, -1, -1, -3, -1, -1, -4]
smuggling	-2.1	0.83066	[-3, -2, -2, -1, -2, -2, -1, -2, -4, -2]
smugly	0.2	1.249	[-1, 2, -1, -1, 1, 1, -1, 1, 2, -1]
smugness	-1.4	1.11355	[-1, -1, -1, -3, -3, -2, 1, -1, -2, -1]
smugnesses	-1.7	0.78102	[-1, -1, -2, -1, -3, -1, -2, -2, -3, -1]
sneaky	-0.9	0.7	[-1, -1, -1, -2, -1, -1, -1, 1, -1, -1]
snob	-2.0	0.63246	[-2, -2, -2, -2, -2, -1, -3, -1, -3, -2]
snobbery	-2.0	0.63246	[-1, -2, -2, -2, -2, -3, -2, -1, -3, -2]
snobbier	-0.7	1.00499	[-1, 2, -1, -1, -1, -1, -1, 0, -2, -1]
snobbiest	-0.5	1.11803	[-2, -2, 1, -1, 1, -1, 0, -1, 1, -1]
snobbily	-1.6	1.11355	[-1, -2, -2, -2, -1, -3, -3, -1, 1, -2]
snobbish	-0.9	1.37477	[-2, -1, 1, -1, 1, -2, -3, -2, 1, -1]
snobbishly	-1.2	1.249	[-2, 1, -2, -1, -2, -3, -1, -2, -1, 1]
snobbishness	-1.1	1.22066	[-1, -2, -2, -1, -3, -1, -1, -1, 2, -1]
snobbishnesses	-1.7	0.78102	[-2, -1, -3, -2, -1, -1, -2, -1, -3, -1]
snobbism	-1.0	1.41421	[-2, -1, 1, -1, 1, -2, -3, -2, 1, -2]
snobbisms	-0.3	1.18743	[1, -1, -1, 0, -1, -1, 1, -2, 2, -1]
snobby	-1.7	1.00499	[-1, -1, -1, -3, -2, -2, 0, -3, -3, -1]
snobs	-1.4	1.0198	[-2, -1, -1, -2, -2, -3, -1, -2, 1, -1]
snub	-1.8	0.4	[-2, -2, -1, -2, -2, -2, -2, -2, -1, -2]
snubbed	-2.0	0.7746	[-2, -2, 0, -2, -3, -2, -2, -2, -3, -2]
snubbing	-0.9	1.13578	[-2, -1, -1, -1, 1, -1, -3, 1, -1, -1]
snubs	-2.1	0.9434	[-2, -1, -1, -1, -3, -2, -4, -3, -2, -2]
sob	-1.0	1.34164	[-1, -2, -2, -2, -1, -1, 2, 1, -2, -2]
sobbed	-1.9	1.3	[-2, -4, 1, -1, -3, -1, -3, -2, -2, -2]
sobbing	-1.6	1.49666	[1, -2, -3, -1, -1, -3, 1, -2, -3, -3]
sobering	-0.8	1.32665	[2, -2, 0, -2, -1, -1, -2, 1, -1, -2]
sobs	-2.5	0.67082	[-3, -3, -2, -2, -3, -3, -3, -1, -2, -3]
sociabilities	1.2	0.9798	[1, 3, 1, 2, 0, 1, 0, 2, 2, 0]
sociability	1.1	0.9434	[0, 1, 1, 1, 0, 2, 1, 0, 2, 3]
sociable	1.9	0.7	[1, 1, 2, 3, 1, 2, 2, 2, 3, 2]
sociableness	1.5	0.5	[1, 1, 1, 2, 2, 2, 1, 2, 1, 2]
sociably	1.6	0.91652	[3, 2, 0, 1, 3, 2, 1, 1, 2, 1]
sok	1.3	1.1	[0, 1, 2, 1, 1, 0, 1, 4, 2, 1]
solemn	-0.3	1.1	[-1, -2, -1, 0, -1, 2, 0, -1, 1, 0]
solemnified	-0.5	0.67082	[0, 0, 0, 0, -1, -1, -1, 0, -2, 0]
solemnifies	-0.5	0.67082	[0, 0, 0, 0, -1, -2, -1, 0, -1, 0]
solemnify	0.3	1.18743	[2, 1, 2, 1, 0, 0, -2, -1, 0, 0]
solemnifying	0.1	1.3	[2, -1, 0, -3, 0, 1, 1, 1, 0, 0]
solemnities	0.3	0.78102	[0, 1, -1, 0, 0, 0, 2, 1, 0, 0]
solemnity	-1.1	0.9434	[0, -2, 0, -2, -2, -1, -2, 0, 0, -2]
solemnization	0.7	1.34536	[-1, -1, 0, 2, 2, 0, 3, 2, 0, 0]
solemnize	0.3	0.78102	[1, -1, 0, 2, 0, 0, 1, 0, 0, 0]
solemnized	-0.7	0.9	[0, 0, 0, -1, -1, -1, -1, 0, 0, -3]
solemnizes	0.6	0.91652	[0, 0, 0, 0, 0, 0, 2, 2, 2, 0]
solemnizing	-0.6	0.8	[0, 0, -1, -1, 0, 0, -2, -2, 0, 0]
solemnly	0.8	0.9798	[0, 2, 0, 1, 1, 2, -1, 2, 1, 0]
solid	0.6	0.8	[0, 2, 1, 2, 0, 1, 0, 0, 0, 0]
solidarity	1.2	0.6	[1, 1, 1, 1, 2, 0, 1, 2, 2, 1]
solution	1.3	0.64031	[1, 2, 1, 2, 1, 1, 2, 2, 0, 1]
solutions	0.7	0.78102	[1, 1, 2, 0, 1, 0, 2, 0, 0, 0]
solve	0.8	0.4	[0, 1, 1, 1, 1, 0, 1, 1, 1, 1]
solved	1.1	0.53852	[1, 2, 1, 0, 1, 1, 1, 2, 1, 1]
solves	1.1	0.7	[2, 0, 1, 0, 1, 2, 1, 2, 1, 1]
solving	1.4	0.8	[0, 3, 1, 2, 1, 1, 2, 1, 2, 1]
somber	-1.8	0.6	[-1, -2, -2, -3, -2, -1, -2, -1, -2, -2]
son-of-a-bitch	-2.7	0.64031	[-3, -3, -3, -1, -2, -3, -3, -3, -3, -3]
soothe	1.5	0.92195	[3, 2, 2, 1, 2, 0, 2, 0, 2, 1]
soothed	0.5	1.43178	[2, -3, 1, 1, 0, 1, 1, 1, 2, -1]
soothing	1.3	0.64031	[2, 1, 2, 1, 1, 1, 2, 0, 2, 1]
sophisticated	2.6	0.91652	[3, 4, 3, 3, 3, 1, 2, 1, 3, 3]
sore	-1.5	0.5	[-2, -2, -2, -1, -1, -1, -2, -1, -1, -2]
sorrow	-2.4	0.8	[-2, -2, -2, -1, -2, -3, -2, -4, -3, -3]
sorrowed	-2.4	0.8	[-1, -2, -3, -3, -2, -3, -2, -4, -2, -2]
sorrower	-2.3	0.78102	[-1, -2, -1, -3, -3, -2, -2, -3, -3, -3]
sorrowful	-2.2	0.6	[-3, -3, -2, -2, -2, -2, -3, -1, -2, -2]
sorrowfully	-2.3	0.64031	[-3, -3, -2, -1, -2, -2, -3, -2, -2, -3]
sorrowfulness	-2.5	0.67082	[-4, -3, -2, -3, -2, -3, -2, -2, -2, -2]
sorrowing	-1.7	1.26886	[-2, -2, 1, -1, -1, -2, -4, -3, -2, -1]
sorrows	-1.6	0.66332	[-1, -1, -2, -1, -2, -2, -1, -2, -1, -3]
sorry	-0.3	1.61555	[-1, 0, -1, -2, -1, -1, 4, 1, -1, -1]
soulmate	2.9	0.83066	[4, 2, 2, 2, 3, 4, 3, 3, 2, 4]
spam	-1.5	1.0247	[-1, -1, -1, -2, 1, -2, -3, -2, -2, -2]
spammer	-2.2	0.6	[-3, -2, -2, -1, -2, -3, -2, -2, -3, -2]
spammers	-1.6	1.11355	[-2, -1, -2, -3, -2, -1, -2, -1, 1, -3]
spamming	-2.1	0.83066	[-3, -3, -1, -3, -2, -1, -2, -2, -1, -3]
spark	0.9	1.04403	[0, 2, 1, 1, 0, 1, 3, -1, 1, 1]
sparkle	1.8	0.74833	[0, 2, 2, 2, 1, 2, 3, 2, 2, 2]
sparkles	1.3	1.18743	[3, 2, 0, 0, 3, 0, 2, 0, 1, 2]
sparkling	1.2	0.4	[1, 1, 1, 2, 1, 1, 1, 2, 1, 1]
special	1.7	0.78102	[3, 1, 3, 2, 2, 1, 1, 2, 1, 1]
speculative	0.4	1.11355	[1, -1, 1, 0, -1, -1, 1, 2, 2, 0]
spirit	0.7	1.00499	[0, 0, 1, 2, 3, 1, 0, 0, 0, 0]
spirited	1.3	1.00499	[1, 1, 0, 1, 1, 3, 2, 3, 0, 1]
spiritless	-1.3	0.64031	[-2, -1, -1, -2, -2, -1, 0, -1, -2, -1]
spite	-2.4	0.8	[-2, -2, -3, -2, -3, -2, -4, -1, -3, -2]
spited	-2.4	0.91652	[-2, -3, -3, -4, -2, -1, -2, -1, -3, -3]
spiteful	-1.9	1.75784	[-2, 3, -2, -3, -2, -3, -2, -2, -4, -2]
spitefully	-2.3	0.78102	[-2, -2, -1, -3, -3, -2, -2, -2, -4, -2]
spitefulness	-1.5	1.74642	[-3, -2, 1, -3, -3, -3, -2, 2, 0, -2]
spitefulnesses	-2.3	0.9	[-1, -4, -2, -3, -3, -2, -2, -3, -1, -2]
spites	-1.4	1.28062	[0, -2, -2, -3, -2, -1, 1, 0, -3, -2]
splendent	2.7	0.78102	[3, 2, 1, 3, 2, 3, 4, 3, 3, 3]
splendid	2.8	0.9798	[4, 2, 3, 4, 2, 2, 3, 1, 3, 4]
splendidly	2.1	1.22066	[1, 4, 1, 3, 3, 4, 1, 2, 1, 1]
splendidness	2.3	0.9	[2, 1, 3, 3, 4, 2, 1, 3, 2, 2]
splendiferous	2.6	1.95959	[4, 4, 3, -3, 3, 3, 4, 2, 3, 3]
splendiferously	1.9	1.3	[2, 4, 4, 3, 0, 1, 1, 1, 2, 1]
splendiferousness	1.7	1.18743	[1, 2, 3, 1, 2, 3, 3, 2, -1, 1]
splendor	3.0	0.63246	[3, 3, 3, 3, 3, 2, 4, 4, 3, 2]
splendorous	2.2	0.87178	[4, 2, 1, 2, 2, 3, 3, 1, 2, 2]
splendors	2.0	0.44721	[2, 2, 2, 2, 3, 2, 2, 2, 1, 2]
splendour	2.2	0.6	[2, 2, 2, 3, 3, 1, 2, 3, 2, 2]
splendours	2.2	1.249	[3, 0, 2, 1, 4, 3, 2, 4, 1, 2]
splendrous	2.2	1.16619	[4, 4, 3, 2, 1, 1, 3, 1, 2, 1]
sprightly	2.0	0.89443	[0, 2, 3, 2, 2, 1, 2, 3, 3, 2]
squelched	-1.0	0.63246	[-1, -1, -1, -1, 0, -2, -1, 0, -1, -2]
stab	-2.8	0.6	[-3, -2, -2, -3, -3, -3, -3, -2, -4, -3]
stabbed	-1.9	1.22066	[-2, -1, -3, -2, -2, 1, -3, -3, -1, -3]
stable	1.2	0.74833	[1, 2, 2, 0, 1, 2, 1, 1, 2, 0]
stabs	-1.9	1.13578	[-3, -3, -4, 0, -1, -2, -2, -2, -1, -1]
stall	-0.8	0.74833	[-1, 0, -1, 0, -1, 0, -2, 0, -2, -1]
stalled	-0.8	0.87178	[-2, -1, 0, -1, -1, 0, 1, -2, -1, -1]
stalling	-0.8	1.4	[-3, -2, -1, -1, 0, 2, 1, -2, -1, -1]
stamina	1.2	0.9798	[1, 0, 3, 0, 1, 2, 2, 1, 2, 0]
stammer	-0.9	0.3	[-1, 0, -1, -1, -1, -1, -1, -1, -1, -1]
stammered	-0.9	0.7	[-2, -1, -1, -1, 1, -1, -1, -1, -1, -1]
stammerer	-1.1	0.3	[-1, -2, -1, -1, -1, -1, -1, -1, -1, -1]
stammerers	-0.8	0.4	[-1, -1, -1, -1, -1, 0, 0, -1, -1, -1]
stammering	-1.0	0.63246	[-2, -1, 0, -1, -1, -2, 0, -1, -1, -1]
stammers	-0.8	0.4	[-1, -1, -1, 0, -1, -1, -1, 0, -1, -1]
stampede	-1.8	1.07703	[-2, -3, -2, -3, 0, 0, -2, -1, -2, -3]
stank	-1.9	1.04403	[-2, -2, -2, -1, -2, -4, -3, 0, -1, -2]
startle	-1.3	0.64031	[-1, -1, -1, -1, -1, -2, -1, -1, -3, -1]
startled	-0.7	0.78102	[-2, -1, -1, 0, 1, -1, -1, 0, -1, -1]
startlement	-0.5	1.20416	[-1, 0, 0, 1, -1, -1, 2, -2, -1, -2]
startlements	0.2	1.32665	[2, 2, 0, 0, -1, 2, 0, -2, -1, 0]
startler	-0.8	0.74833	[-2, -1, -1, 0, 1, -1, -1, -1, -1, -1]
startlers	-0.5	0.80623	[0, 0, 0, 0, -1, -1, -1, 1, -1, -2]
startles	-0.5	1.36015	[-2, 2, -1, 0, 2, -1, -1, -2, -1, -1]
startling	0.3	1.41774	[-2, 2, -1, 0, -1, 2, -1, 1, 1, 2]
startlingly	-0.3	0.9	[-1, -1, 0, -2, 1, 0, 1, 0, -1, 0]
starve	-1.9	2.02237	[2, -3, -4, -1, -3, -4, -1, -2, 1, -4]
starved	-2.6	1.11355	[-3, -4, -1, -3, -3, -4, -1, -1, -3, -3]
starves	-2.3	0.78102	[-3, -2, -2, -3, -2, -3, -1, -1, -3, -3]
starving	-1.8	2.03961	[-2, -2, -4, -4, -3, -3, 2, 2, -2, -2]
steadfast	1.0	1.0	[0, 0, 2, 1, 1, 2, 3, 0, 1, 0]
steal	-2.2	0.6	[-2, -2, -2, -3, -3, -3, -1, -2, -2, -2]
stealable	-1.7	1.00499	[-3, -1, -2, -1, -2, -1, -1, -1, -4, -1]
stealer	-1.7	0.78102	[-2, -2, -1, -2, -3, -1, -2, -2, -2, 0]
stealers	-2.2	0.74833	[-2, -2, -2, -4, -2, -2, -3, -1, -2, -2]
stealing	-2.7	0.9	[-3, -2, -2, -4, -4, -3, -1, -3, -2, -3]
stealings	-1.9	0.9434	[-2, -2, -1, -1, -1, -3, -4, -2, -1, -2]
steals	-2.3	0.64031	[-4, -2, -2, -3, -2, -2, -2, -2, -2, -2]
stealth	-0.3	1.34536	[-2, 1, 1, -1, 0, -3, 0, 1, -1, 1]
stealthier	-0.3	1.00499	[0, 0, -3, 0, 0, 1, 0, -1, 0, 0]
stealthiest	0.4	2.10713	[-1, 2, 1, 1, 3, 4, -1, 0, -2, -3]
stealthily	0.1	1.37477	[2, 0, 0, -1, 1, 0, -3, 2, 0, 0]
stealthiness	0.2	0.74833	[1, 0, 0, -1, 1, 0, -1, 0, 1, 1]
stealths	-0.3	0.78102	[-2, 0, 0, -1, 0, 1, -1, 0, 0, 0]
stealthy	-0.1	0.7	[0, 0, 0, -1, 1, -1, -1, 0, 1, 0]
stench	-2.3	0.64031	[-3, -2, -2, -3, -3, -1, -3, -2, -2, -2]
stenches	-1.5	1.11803	[-2, -2, -1, -3, 0, 0, -3, -2, 0, -2]
stenchful	-2.4	0.91652	[-3, -1, -3, -1, -2, -2, -3, -4, -2, -3]
stenchy	-2.3	1.00499	[-4, -1, -2, -3, -1, -1, -2, -3, -3, -3]
stereotype	-1.3	0.78102	[-1, -1, -2, 0, -2, 0, -2, -1, -2, -2]
stereotyped	-1.2	0.4	[-1, -1, -2, -1, -2, -1, -1, -1, -1, -1]
stifled	-1.4	0.66332	[-1, -1, -1, -1, -3, -1, -2, -2, -1, -1]
stimulate	0.9	0.83066	[1, 0, 1, 1, 1, 2, -1, 2, 1, 1]
stimulated	0.9	0.7	[1, 0, 0, 0, 1, 1, 2, 1, 2, 1]
stimulates	1.0	0.89443	[1, 0, 0, 0, 1, 1, 2, 1, 3, 1]
stimulating	1.9	0.7	[2, 3, 2, 1, 3, 2, 1, 2, 1, 2]
stingy	-1.6	0.8	[-1, 0, -2, -2, -1, -1, -2, -2, -3, -2]
stink	-1.7	0.64031	[-2, -2, -1, -3, -2, -1, -1, -2, -1, -2]
stinkard	-2.3	0.9	[-2, -3, -3, -2, -3, -2, -3, -3, 0, -2]
stinkards	-1.0	1.26491	[-2, -1, 2, -2, -1, -1, 0, -3, -1, -1]
stinkbug	-0.2	0.4	[-1, 0, 0, 0, 0, 0, 0, 0, -1, 0]
stinkbugs	-1.0	1.26491	[0, 0, 0, -4, -1, -2, -1, 0, -2, 0]
stinker	-1.5	0.80623	[-3, -1, -3, -1, -1, -2, -1, -1, -1, -1]
stinkers	-1.2	1.07703	[-3, 1, -1, -2, -2, -1, -1, -2, 0, -1]
stinkhorn	-0.2	1.16619	[-2, -2, 0, 0, -1, 0, 1, 2, 0, 0]
stinkhorns	-0.8	0.9798	[0, -3, 0, -2, 0, 0, -1, -1, -1, 0]
stinkier	-1.5	1.0247	[-2, -1, -2, -2, -1, 1, -2, -1, -3, -2]
stinkiest	-2.1	1.57797	[-1, -2, -3, -4, -2, -1, 1, -4, -1, -4]
stinking	-2.4	0.91652	[-2, -4, -2, -3, -3, -1, -2, -1, -3, -3]
stinkingly	-1.3	1.55242	[-2, -3, -3, -2, -2, 1, -2, 2, -1, -1]
stinko	-1.5	0.80623	[-1, -2, -2, -2, 0, -1, -2, -1, -1, -3]
stinkpot	-2.5	0.92195	[-4, -1, -3, -4, -2, -2, -3, -2, -2, -2]
stinkpots	-0.7	1.26886	[-1, -3, -2, -1, 0, 2, 0, -1, 0, -1]
stinks	-1.0	1.34164	[-2, -2, -1, -2, 2, -1, -2, 1, -1, -2]
stinkweed	-0.4	1.0198	[-2, 0, -1, 0, 2, 0, -1, -1, 0, -1]
stinkwood	-0.1	1.13578	[0, -2, 0, 0, 0, -2, 1, 0, 2, 0]
stinky	-1.5	0.5	[-2, -1, -1, -2, -1, -1, -2, -2, -1, -2]
stolen	-2.2	0.9798	[-3, -2, -2, -1, -3, -2, -3, 0, -3, -3]
stop	-1.2	0.87178	[-1, 0, -2, -2, 0, -1, -2, -2, 0, -2]
stopped	-0.9	0.53852	[-1, -1, -1, -1, -2, -1, -1, -1, 0, 0]
stopping	-0.6	0.66332	[-1, 0, 0, -1, 0, 0, 0, -1, -2, -1]
stops	-0.6	0.8	[-1, -1, 0, 0, -2, 0, -2, 0, 0, 0]
stout	0.7	1.34536	[2, 0, 3, 1, 2, 1, 0, 0, -2, 0]
straight	0.9	1.04403	[2, 0, 1, 0, 0, 0, 1, 2, 3, 0]
strain	-0.2	0.9798	[0, 0, -2, 0, -1, 2, 0, -1, 0, 0]
strained	-1.7	0.78102	[0, -2, -1, -1, -2, -2, -2, -3, -2, -2]
strainer	-0.8	1.249	[2, -2, -1, 0, -1, 0, -2, 0, -2, -2]
strainers	-0.3	0.45826	[0, 0, 0, 0, -1, -1, 0, -1, 0, 0]
straining	-1.3	0.78102	[0, -3, -2, -1, -1, -1, -1, -1, -2, -1]
strains	-1.2	0.4	[-1, -1, -1, -2, -1, -2, -1, -1, -1, -1]
strange	-0.8	0.74833	[0, -1, -1, 0, -2, 0, -1, -2, 0, -1]
strangely	-1.2	0.87178	[0, -1, -2, -2, 0, -3, -1, -1, -1, -1]
strangled	-2.5	1.0247	[-1, -1, -3, -3, -3, -3, -1, -4, -3, -3]
strength	2.2	0.6	[1, 2, 2, 3, 2, 3, 3, 2, 2, 2]
strengthen	1.3	0.64031	[1, 1, 2, 1, 2, 1, 2, 0, 2, 1]
strengthened	1.8	0.4	[2, 2, 2, 2, 1, 2, 2, 1, 2, 2]
strengthener	1.8	0.6	[2, 0, 2, 2, 2, 2, 2, 2, 2, 2]
strengtheners	1.4	0.91652	[1, 2, 1, 2, 3, 0, 2, 0, 2, 1]
strengthening	2.2	0.74833	[3, 3, 1, 1, 2, 2, 2, 2, 3, 3]
strengthens	2.0	0.63246	[3, 2, 1, 2, 2, 3, 2, 1, 2, 2]
strengths	1.7	0.64031	[2, 1, 3, 1, 2, 1, 2, 1, 2, 2]
stress	-1.8	0.6	[-1, -2, -2, -1, -2, -1, -2, -3, -2, -2]
stressed	-1.4	0.4899	[-1, -1, -1, -2, -2, -1, -2, -2, -1, -1]
stresses	-2.0	1.0	[-3, -3, -2, -1, -2, 0, -2, -1, -3, -3]
stressful	-2.3	0.45826	[-2, -2, -2, -2, -3, -3, -2, -3, -2, -2]
stressfully	-2.6	0.66332	[-2, -3, -1, -3, -3, -3, -3, -2, -3, -3]
stressing	-1.5	0.67082	[-1, -2, -1, -1, -3, -1, -2, -2, -1, -1]
stressless	1.6	0.4899	[1, 2, 1, 2, 1, 2, 1, 2, 2, 2]
stresslessness	1.6	0.8	[1, 3, 1, 3, 2, 1, 2, 1, 1, 1]
stressor	-1.8	0.74833	[-2, -1, -1, -2, -3, -2, -1, -2, -3, -1]
stressors	-2.1	0.83066	[-3, -2, -2, -2, -3, -1, -3, -1, -1, -3]
stricken	-2.3	0.9	[0, -2, -2, -2, -2, -3, -3, -3, -3, -3]
strike	-0.5	1.11803	[0, 0, 0, -2, -2, 1, 1, -2, -1, 0]
strikers	-0.6	1.0198	[0, 0, -2, -3, 0, 0, -1, 0, 0, 0]
strikes	-1.5	0.92195	[0, -2, -2, -2, -3, -1, -2, -1, 0, -2]
strong	2.3	0.78102	[3, 2, 3, 3, 1, 1, 3, 2, 2, 3]
strongbox	0.7	0.78102	[2, 1, 0, 0, 0, 1, 2, 1, 0, 0]
strongboxes	0.3	0.64031	[0, 0, 0, 0, 0, 1, 0, 2, 0, 0]
stronger	1.6	0.66332	[2, 1, 1, 1, 2, 3, 2, 1, 2, 1]
strongest	1.9	0.9434	[2, 3, 2, 1, 2, 2, 0, 3, 1, 3]
stronghold	0.5	0.80623	[0, 2, 0, 0, 2, 0, 0, 0, 0, 1]
strongholds	1.0	0.89443	[2, 2, 0, 1, 2, 2, 1, 0, 0, 0]
strongish	1.7	0.78102	[1, 1, 2, 3, 1, 2, 1, 3, 2, 1]
strongly	1.1	0.83066	[0, 0, 2, 2, 0, 1, 2, 2, 1, 1]
strongman	0.7	1.00499	[0, 1, 3, 0, 1, -1, 1, 1, 0, 1]
strongmen	0.5	1.11803	[-1, 0, 0, 3, 0, 1, 0, 2, 0, 0]
strongyl	0.6	1.0198	[0, 1, 0, 0, 0, 0, 0, 2, 3, 0]
strongyles	0.2	1.07703	[0, -2, 1, 1, -1, 1, 0, 0, 2, 0]
strongyloidosis	-0.8	1.66132	[-2, -3, 0, 0, -2, -2, 2, -2, 2, -1]
strongyls	0.1	0.3	[0, 0, 1, 0, 0, 0, 0, 0, 0, 0]
struck	-1.0	0.89443	[-1, -2, -1, 0, -2, -2, -1, -1, 1, -1]
struggle	-1.3	0.45826	[-2, -1, -2, -1, -2, -1, -1, -1, -1, -1]
struggled	-1.4	0.66332	[-2, -2, -1, -1, -1, -1, -2, -2, 0, -2]
struggler	-1.1	0.7	[-1, -1, -1, -1, 0, -1, -2, -2, 0, -2]
strugglers	-1.4	0.4899	[-1, -2, -1, -1, -2, -1, -2, -2, -1, -1]
struggles	-1.5	0.5	[-2, -2, -1, -1, -1, -1, -2, -2, -1, -2]
struggling	-1.8	0.6	[-2, -2, -2, -2, -1, -1, -2, -2, -3, -1]
stubborn	-1.7	1.00499	[0, -1, -2, -2, -2, -4, -1, -2, -1, -2]
stubborner	-1.5	1.20416	[-2, -3, -1, -1, -2, 1, -3, -2, 0, -2]
stubbornest	-0.6	1.62481	[-2, 4, -2, -1, -1, 0, -1, -1, -1, -1]
stubbornly	-1.4	0.4899	[-2, -2, -1, -2, -1, -1, -2, -1, -1, -1]
stubbornness	-1.1	0.53852	[-1, -1, 0, -2, -1, -1, -1, -2, -1, -1]
stubbornnesses	-1.5	0.80623	[-1, -2, -3, -1, -1, -3, -1, -1, -1, -1]
stuck	-1.0	0.44721	[-1, -1, -1, -1, 0, -1, -1, -1, -1, -2]
stunk	-1.6	1.68523	[-2, -2, -3, 2, -2, -3, -3, 1, -1, -3]
stunned	-0.4	1.28062	[-1, -3, -1, 0, -1, -1, 0, 2, 1, 0]
stunning	1.6	1.42829	[0, 0, 3, 2, 2, 4, 3, 0, 2, 0]
stuns	0.1	1.04403	[1, 0, -1, -2, 0, 1, 1, -1, 1, 1]
stupid	-2.4	0.66332	[-2, -3, -3, -2, -3, -3, -2, -1, -2, -3]
stupider	-2.5	0.5	[-3, -2, -3, -3, -2, -2, -3, -2, -3, -2]
stupidest	-2.4	0.66332	[-2, -3, -2, -3, -1, -3, -3, -2, -2, -3]
stupidities	-2.0	0.7746	[-2, -3, -2, -1, -3, -1, -3, -1, -2, -2]
stupidity	-1.9	0.3	[-2, -2, -2, -2, -2, -2, -1, -2, -2, -2]
stupidly	-2.0	0.7746	[-1, -2, -3, -3, -1, -3, -2, -1, -2, -2]
stupidness	-1.7	0.64031	[-3, -1, -2, -1, -2, -1, -2, -2, -1, -2]
stupidnesses	-2.6	0.8	[-2, -2, -2, -4, -4, -3, -3, -2, -2, -2]
stupids	-2.3	0.64031	[-2, -3, -1, -3, -2, -3, -3, -2, -2, -2]
stutter	-1.0	0.0	[-1, -1, -1, -1, -1, -1, -1, -1, -1, -1]
stuttered	-0.9	1.04403	[-1, -1, 2, -1, -1, -1, -2, -2, -1, -1]
stutterer	-1.0	1.18322	[-1, -1, 2, -1, -1, -1, -3, -2, -1, -1]
stutterers	-1.1	0.53852	[-1, -1, -1, 0, -1, -1, -2, -2, -1, -1]
stuttering	-1.3	0.9	[-1, -1, -1, 0, -3, -1, -1, -1, -3, -1]
stutters	-1.0	0.63246	[-1, -1, -1, -2, 0, -2, 0, -1, -1, -1]
suave	2.0	0.44721	[2, 3, 2, 2, 2, 1, 2, 2, 2, 2]
submissive	-1.3	0.9	[-1, 0, -1, -3, -1, 0, -1, -2, -2, -2]
submissively	-1.0	1.18322	[-1, -1, -1, -1, 2, -1, -1, -2, -3, -1]
submissiveness	-0.7	0.78102	[-2, 0, -1, 0, -1, 0, -2, 0, -1, 0]
substantial	0.8	0.6	[2, 0, 1, 1, 0, 0, 1, 1, 1, 1]
subversive	-0.9	1.81384	[-3, 0, -4, -1, -2, -1, 2, -1, 2, -1]
succeed	2.2	0.74833	[2, 3, 2, 2, 2, 1, 2, 4, 2, 2]
succeeded	1.8	0.87178	[2, 2, 1, 2, 2, 0, 2, 3, 3, 1]
succeeder	1.2	1.07703	[1, 0, 0, 2, 2, 0, 0, 3, 2, 2]
succeeders	1.3	0.64031	[2, 0, 2, 1, 2, 1, 1, 1, 1, 2]
succeeding	2.2	1.16619	[2, 3, 0, 3, 4, 3, 1, 1, 2, 3]
succeeds	2.2	0.9798	[4, 1, 4, 1, 2, 2, 2, 2, 2, 2]
success	2.7	0.64031	[4, 3, 2, 2, 3, 2, 3, 3, 2, 3]
successes	2.6	0.66332	[2, 4, 3, 3, 2, 3, 2, 2, 3, 2]
successful	2.8	0.6	[3, 3, 2, 3, 4, 3, 3, 3, 2, 2]
successfully	2.2	0.6	[2, 2, 1, 2, 2, 2, 3, 3, 2, 3]
successfulness	2.7	0.78102	[3, 3, 4, 3, 3, 2, 3, 2, 1, 3]
succession	0.8	0.87178	[2, 0, 1, 2, 0, 2, 1, 0, 0, 0]
successional	0.9	1.04403	[0, 1, 0, 2, 3, 0, 0, 1, 2, 0]
successionally	1.1	1.13578	[2, 2, 0, 0, 0, 0, 2, 3, 0, 2]
successions	0.1	0.3	[0, 0, 0, 0, 0, 0, 0, 1, 0, 0]
successive	1.1	1.13578	[3, 0, 0, 1, 3, 2, 1, 0, 1, 0]
successively	0.9	1.04403	[1, 0, 0, 1, 3, 0, 2, 0, 2, 0]
successiveness	1.0	1.0	[0, 1, 2, 0, 3, 1, 1, 2, 0, 0]
successor	0.9	0.83066	[0, 2, 0, 0, 1, 2, 2, 1, 1, 0]
successors	1.1	1.04403	[2, 0, 1, 2, 0, 1, 3, 0, 2, 0]
suck	-1.9	1.04403	[-1, -1, -1, -2, -1, -1, -3, -4, -3, -2]
sucked	-2.0	0.89443	[-2, -2, -1, -1, -1, -3, -4, -2, -2, -2]
sucker	-2.4	1.2	[-3, -1, -1, -2, -1, -4, -4, -2, -4, -2]
suckered	-2.0	1.0	[-2, -1, -1, -3, -3, -1, -1, -2, -2, -4]
suckering	-2.1	0.7	[-2, -3, -2, -1, -2, -3, -3, -2, -1, -2]
suckers	-2.3	1.00499	[-2, -1, -2, -4, -1, -2, -3, -2, -4, -2]
sucks	-1.5	1.28452	[-1, -2, -2, -1, -3, -4, -1, 1, -1, -1]
sucky	-1.9	0.9434	[-1, -2, -2, -1, -2, -4, -1, -1, -3, -2]
suffer	-2.5	0.67082	[-3, -3, -2, -2, -3, -3, -3, -2, -1, -3]
suffered	-2.2	0.74833	[-3, -2, -1, -3, -2, -3, -1, -3, -2, -2]
sufferer	-2.0	0.63246	[-3, -2, -2, -2, -2, -3, -1, -2, -2, -1]
sufferers	-2.4	0.8	[-1, -3, -3, -2, -1, -2, -3, -3, -3, -3]
suffering	-2.1	0.83066	[-2, -1, -3, -2, -1, -2, -3, -3, -1, -3]
suffers	-2.1	0.7	[-3, -2, -1, -2, -2, -2, -3, -1, -3, -2]
suicidal	-3.5	0.67082	[-4, -4, -4, -4, -3, -4, -3, -3, -2, -4]
suicide	-3.5	0.67082	[-4, -3, -4, -4, -4, -2, -3, -4, -4, -3]
suing	-1.1	1.13578	[1, -1, -1, 0, -1, -3, -1, -1, -3, -1]
sulking	-1.5	0.67082	[-2, -1, -3, -1, -1, -2, -1, -2, -1, -1]
sulky	-0.8	1.77764	[-3, 3, -2, -3, 0, -2, 0, -1, 1, -1]
sullen	-1.7	1.00499	[0, -2, -2, -1, -1, -4, -2, -1, -2, -2]
sunnier	2.3	0.64031	[3, 2, 3, 2, 3, 2, 2, 1, 3, 2]
sunniest	2.4	1.28062	[2, 0, 4, 2, 1, 3, 2, 4, 4, 2]
sunny	1.8	0.87178	[2, 2, 1, 2, 0, 2, 3, 3, 2, 1]
sunshine	2.2	0.6	[3, 1, 2, 2, 2, 2, 2, 3, 3, 2]
sunshiny	1.9	0.7	[2, 2, 3, 1, 2, 2, 1, 3, 1, 2]
super	2.9	0.7	[4, 2, 4, 3, 3, 3, 2, 3, 2, 3]
superb	3.1	0.9434	[3, 4, 2, 4, 3, 1, 3, 3, 4, 4]
superior	2.5	1.11803	[2, 3, 1, 3, 3, 0, 3, 3, 4, 3]
superiorities	0.8	1.6	[-1, 1, 3, -1, -1, 2, 2, 1, 3, -1]
superiority	1.4	1.2	[0, 1, -1, 3, 1, 2, 2, 2, 3, 1]
superiorly	2.2	1.4	[4, 3, 1, 2, 3, -1, 2, 4, 2, 2]
superiors	1.0	1.0	[3, 0, 0, 1, 2, 1, 1, 2, 0, 0]
support	1.7	0.9	[1, 1, 1, 2, 1, 3, 3, 3, 1, 1]
supported	1.3	0.45826	[2, 1, 2, 1, 1, 2, 1, 1, 1, 1]
supporter	1.1	0.3	[1, 1, 1, 1, 1, 2, 1, 1, 1, 1]
supporters	1.9	0.7	[1, 1, 1, 2, 2, 3, 2, 2, 3, 2]
supporting	1.9	0.9434	[3, 2, 1, 1, 3, 3, 1, 1, 3, 1]
supportive	1.2	0.4	[1, 1, 1, 1, 1, 2, 2, 1, 1, 1]
supportiveness	1.5	1.11803	[3, 1, 2, 1, 3, 2, 2, 1, -1, 1]
supports	1.5	0.67082	[2, 1, 2, 0, 2, 2, 2, 1, 1, 2]
supremacies	0.8	1.72047	[3, -2, 3, 0, 0, 2, -1, 3, 0, 0]
supremacist	0.5	2.15639	[3, 2, -3, 1, 2, 2, 2, -2, 1, -3]
supremacists	-1.0	1.89737	[-4, -2, -1, -3, -2, 2, 2, 0, 0, -2]
supremacy	0.2	1.77764	[-1, -2, 0, 3, 2, 0, -3, 0, 1, 2]
suprematists	0.4	1.56205	[2, 1, 0, 0, 2, 2, 2, -2, -1, -2]
supreme	2.6	1.11355	[2, 3, 2, 1, 4, 2, 1, 3, 4, 4]
supremely	2.7	1.00499	[2, 4, 1, 4, 2, 4, 2, 3, 2, 3]
supremeness	2.3	0.64031	[1, 2, 2, 3, 3, 2, 2, 3, 3, 2]
supremer	2.3	1.1	[4, 3, 3, 0, 1, 2, 3, 2, 3, 2]
supremest	2.2	1.98997	[4, 3, 1, 0, 4, 4, -2, 3, 1, 4]
supremo	1.9	1.3	[1, 0, 3, 0, 4, 3, 1, 3, 2, 2]
supremos	1.3	0.78102	[0, 2, 2, 1, 0, 2, 2, 1, 2, 1]
sure	1.3	0.64031	[1, 1, 3, 1, 1, 2, 1, 1, 1, 1]
surefire	1.0	0.7746	[1, 1, 0, 2, 2, 1, 0, 1, 2, 0]
surefooted	1.9	0.83066	[0, 3, 2, 2, 2, 2, 1, 2, 3, 2]
surefootedly	1.6	0.91652	[1, 1, 2, 0, 2, 1, 3, 3, 1, 2]
surefootedness	1.5	1.20416	[2, 1, 4, 1, 0, 3, 2, 1, 1, 0]
surely	1.9	0.7	[2, 2, 2, 1, 1, 1, 3, 2, 3, 2]
sureness	2.0	0.7746	[2, 3, 2, 1, 2, 1, 3, 3, 2, 1]
surer	1.2	1.32665	[1, 1, 3, 1, 3, 2, 1, -2, 1, 1]
surest	1.3	0.78102	[2, 0, 2, 2, 2, 1, 0, 1, 1, 2]
sureties	1.3	0.9	[2, 0, 2, 0, 2, 2, 1, 2, 0, 2]
surety	1.0	0.44721	[1, 1, 1, 1, 1, 0, 1, 1, 2, 1]
suretyship	-0.1	1.51327	[-1, 0, 0, -2, -1, 2, -2, 3, 0, 0]
suretyships	0.4	0.66332	[0, 0, 0, 1, 0, 0, 1, 0, 0, 2]
surprisal	1.5	0.80623	[3, 1, 1, 2, 1, 2, 2, 1, 2, 0]
surprisals	0.7	1.1	[0, 0, 0, 0, 0, 0, 0, 2, 2, 3]
surprise	1.1	1.04403	[0, 2, 0, 2, 3, 0, 1, 1, 2, 0]
surprised	0.9	0.9434	[2, 0, 0, 0, 0, 2, 2, 1, 2, 0]
surpriser	0.6	0.66332	[2, 0, 0, 0, 0, 1, 1, 1, 1, 0]
surprisers	0.3	1.00499	[2, 0, 1, 1, 0, 0, -2, 1, 0, 0]
surprises	0.9	0.7	[2, 0, 0, 0, 1, 1, 2, 1, 1, 1]
surprising	1.1	0.9434	[1, 1, 1, 0, 0, 2, 0, 1, 3, 2]
surprisingly	1.2	0.87178	[1, 0, 2, 0, 0, 2, 2, 1, 2, 2]
survived	2.3	0.78102	[3, 4, 2, 2, 2, 1, 2, 3, 2, 2]
surviving	1.2	0.87178	[1, 3, 1, 0, 2, 0, 1, 1, 1, 2]
survivor	1.5	1.0247	[1, 3, 2, 3, 1, 0, 0, 1, 2, 2]
suspect	-1.2	0.9798	[0, -1, -1, -2, -2, -2, 1, -1, -2, -2]
suspected	-0.9	1.13578	[-1, 0, -1, -2, -1, -1, -2, 2, -2, -1]
suspecting	-0.7	1.34536	[-1, 2, -1, -1, -1, 1, -2, -1, -3, 0]
suspects	-1.4	0.91652	[-2, -2, -2, -1, -2, -1, -2, -2, 1, -1]
suspend	-1.3	0.64031	[0, -2, -1, -2, -1, -1, -2, -1, -2, -1]
suspended	-2.1	0.83066	[-2, -1, -2, -3, -3, -1, -3, -1, -2, -3]
suspicion	-1.6	0.91652	[-2, -2, -1, -2, 1, -2, -2, -2, -2, -2]
suspicions	-1.5	0.67082	[-1, -2, -1, -2, -1, -1, -3, -1, -2, -1]
suspicious	-1.5	0.67082	[-1, -2, -1, -1, -2, -1, -2, -1, -3, -1]
suspiciously	-1.7	0.45826	[-2, -2, -1, -2, -1, -2, -2, -1, -2, -2]
suspiciousness	-1.2	1.46969	[-2, -3, -2, -1, -1, 1, 2, -2, -2, -2]
sux	-1.5	0.92195	[-1, -1, -2, -1, -2, -1, -3, 0, -3, -1]
swear	-0.2	1.53623	[-2, 2, -1, 1, 1, 0, -1, -2, 2, -2]
swearing	-1.0	1.09545	[0, -2, -1, -1, -2, 0, 1, -3, -1, -1]
swears	0.2	1.4	[1, -2, 2, 0, 1, -2, -1, 2, 1, 0]
sweet	2.0	0.63246	[1, 2, 2, 2, 3, 3, 2, 1, 2, 2]
sweet<3	3.0	0.44721	[3, 3, 3, 3, 4, 2, 3, 3, 3, 3]
sweetheart	3.3	1.00499	[4, 1, 3, 4, 4, 4, 2, 3, 4, 4]
sweethearts	2.8	0.87178	[2, 2, 2, 4, 3, 2, 4, 3, 4, 2]
sweetie	2.2	0.6	[2, 3, 3, 2, 1, 3, 2, 2, 2, 2]
sweeties	2.1	0.9434	[1, 2, 2, 3, 2, 1, 2, 4, 3, 1]
sweetly	2.1	0.7	[1, 2, 2, 2, 2, 2, 1, 3, 3, 3]
sweetness	2.2	0.74833	[3, 2, 3, 1, 2, 2, 3, 3, 2, 1]
sweets	2.2	0.6	[2, 1, 3, 2, 2, 2, 3, 2, 3, 2]
swift	0.8	0.6	[1, 0, 1, 1, 0, 2, 0, 1, 1, 1]
swiftly	1.2	0.9798	[0, 3, 1, 0, 1, 1, 1, 3, 1, 1]
swindle	-2.4	1.0198	[-1, -4, -1, -3, -3, -2, -2, -2, -4, -2]
swindles	-1.5	0.92195	[0, -2, -2, -3, -2, -1, -1, 0, -2, -2]
swindling	-2.0	1.0	[-2, -2, -2, -4, -1, 0, -3, -2, -2, -2]
sympathetic	2.3	0.64031	[3, 3, 2, 2, 3, 3, 2, 2, 1, 2]
sympathy	1.5	1.11803	[-1, 2, 3, 2, 1, 1, 1, 2, 1, 3]
talent	1.8	1.07703	[3, 1, 2, 2, 0, 3, 3, 2, 2, 0]
talented	2.3	0.64031	[1, 2, 2, 3, 2, 3, 3, 2, 3, 2]
talentless	-1.6	0.4899	[-2, -2, -2, -1, -2, -1, -1, -1, -2, -2]
talents	2.0	1.18322	[2, 4, 1, 2, 0, 2, 4, 2, 2, 1]
tantrum	-1.8	1.16619	[-3, -2, -2, -3, -1, 0, -1, 0, -3, -3]
tantrums	-1.5	1.36015	[-1, -2, -4, -2, -2, -1, -1, 0, 1, -3]
tard	-2.5	0.92195	[-3, -3, -3, -2, -2, -3, -1, -4, -1, -3]
tears	-0.9	1.13578	[0, -2, -2, -1, -1, -2, -2, 1, 1, -1]
teas	0.3	0.45826	[1, 0, 0, 0, 0, 1, 0, 1, 0, 0]
tease	-1.3	0.9	[0, -1, -1, -2, -1, 0, -3, -2, -1, -2]
teased	-1.2	0.87178	[0, -2, -2, -1, -1, -1, 0, -3, -1, -1]
teasel	-0.1	0.3	[0, -1, 0, 0, 0, 0, 0, 0, 0, 0]
teaseled	-0.8	0.74833	[-1, 0, -1, 0, 0, -1, -2, -1, -2, 0]
teaseler	-0.8	0.87178	[0, 0, -2, 0, 0, -1, -2, -1, -2, 0]
teaselers	-1.2	1.249	[0, -3, 0, 0, 0, -3, -2, -2, -2, 0]
teaseling	-0.4	0.91652	[-1, 0, -3, 0, 0, 0, 0, 0, 0, 0]
teaselled	-0.4	0.91652	[0, -3, 0, 0, 0, 0, -1, 0, 0, 0]
teaselling	-0.2	0.4	[0, 0, 0, 0, -1, 0, -1, 0, 0, 0]
teasels	-0.1	0.3	[0, 0, 0, 0, 0, 0, 0, 0, -1, 0]
teaser	-1.0	1.18322	[0, -1, -3, -1, -1, -1, 0, -3, -1, 1]
teasers	-0.7	1.1	[-1, -2, -3, -1, 0, 0, -1, 1, 0, 0]
teases	-1.2	0.74833	[-1, -1, 0, -1, -2, -1, -3, -1, -1, -1]
teashops	0.2	0.4	[0, 1, 0, 1, 0, 0, 0, 0, 0, 0]
teasing	-0.3	1.1	[0, 0, 1, 1, -1, 0, 0, 0, -1, -3]
teasingly	-0.4	1.11355	[0, 1, 1, 0, -2, 0, -2, 0, -2, 0]
teaspoon	0.2	0.4	[0, 0, 0, 0, 0, 0, 1, 0, 1, 0]
teaspoonful	0.2	0.4	[0, 0, 0, 1, 0, 0, 1, 0, 0, 0]
teaspoonfuls	0.4	0.8	[2, 0, 0, 0, 0, 0, 0, 0, 2, 0]
teaspoons	0.5	0.80623	[0, 0, 0, 2, 0, 0, 1, 2, 0, 0]
teaspoonsful	0.3	0.9	[2, 0, 0, 0, 0, 2, 0, -1, 0, 0]
temper	-1.8	0.4	[-1, -2, -2, -2, -2, -2, -2, -2, -1, -2]
tempers	-1.3	0.64031	[-1, -1, 0, -1, -1, -2, -2, -2, -1, -2]
tendered	0.5	0.92195	[0, 0, 2, 1, -1, -1, 1, 1, 1, 1]
tenderer	0.6	0.66332	[0, 1, 1, 0, 0, 0, 2, 1, 1, 0]
tenderers	1.2	0.9798	[2, 0, 0, 1, 0, 2, 3, 1, 1, 2]
tenderest	1.4	1.56205	[2, 1, 3, -1, 0, 2, 2, 2, -1, 4]
tenderfeet	-0.4	0.91652	[-1, -1, 0, 0, -1, 0, -1, -2, 1, 1]
tenderfoot	-0.1	0.53852	[-1, 1, 0, 0, 0, 0, 0, -1, 0, 0]
tenderfoots	-0.5	1.11803	[1, -1, 0, 0, 0, -1, -1, 1, -3, -1]
tenderhearted	1.5	1.0247	[2, 2, 1, 2, 3, 1, 1, -1, 2, 2]
tenderheartedly	2.7	0.64031	[2, 2, 2, 3, 3, 3, 3, 4, 3, 2]
tenderheartedness	0.7	1.48661	[1, 3, 2, 2, -1, -1, 1, -2, 1, 1]
tenderheartednesses	2.8	0.74833	[2, 3, 3, 2, 3, 3, 4, 4, 2, 2]
tendering	0.6	0.66332	[0, 0, 1, 1, 1, 0, 0, 1, 2, 0]
tenderization	0.2	0.74833	[-1, 2, 0, 0, 0, 1, 0, 0, 0, 0]
tenderize	0.1	0.53852	[0, 0, 0, 0, 0, -1, 0, 1, 0, 1]
tenderized	0.1	0.53852	[0, 1, 0, 1, 0, 0, -1, 0, 0, 0]
tenderizer	0.4	0.66332	[0, 1, 0, 1, 0, 0, 2, 0, 0, 0]
tenderizes	0.3	0.45826	[0, 1, 0, 1, 0, 0, 1, 0, 0, 0]
tenderizing	0.3	0.45826	[1, 1, 0, 0, 0, 1, 0, 0, 0, 0]
tenderloin	-0.2	0.74833	[0, 0, 0, 0, -2, 0, 1, 0, -1, 0]
tenderloins	0.4	0.66332	[1, 0, 0, 0, 2, 0, 0, 1, 0, 0]
tenderly	1.8	0.74833	[2, 1, 2, 1, 3, 2, 1, 2, 3, 1]
tenderness	1.8	0.4	[2, 2, 1, 2, 2, 2, 2, 1, 2, 2]
tendernesses	0.9	1.44568	[1, 2, 1, 1, 3, -1, -2, 2, 2, 0]
tenderometer	0.2	0.4	[1, 0, 0, 0, 0, 1, 0, 0, 0, 0]
tenderometers	0.2	0.4	[0, 0, 1, 0, 0, 0, 0, 0, 1, 0]
tenders	0.6	0.8	[0, 2, 0, 1, 1, 1, -1, 0, 1, 1]
tense	-1.4	0.4899	[-1, -1, -1, -1, -1, -2, -1, -2, -2, -2]
tensed	-1.0	0.44721	[-1, 0, -1, -1, -1, -1, -2, -1, -1, -1]
tensely	-1.2	0.6	[-1, -2, -2, -2, -1, 0, -1, -1, -1, -1]
tenseness	-1.5	0.67082	[-1, -1, -1, -1, -1, -2, -2, -1, -2, -3]
tenser	-1.5	0.67082	[-2, -2, -1, -2, -1, -1, -3, -1, -1, -1]
tenses	-0.9	1.04403	[-1, -3, 0, 0, 0, -1, 0, -2, -2, 0]
tensest	-1.2	1.07703	[-2, 0, -2, -2, -2, 0, 1, -1, -2, -2]
tensing	-1.0	0.44721	[-1, -2, -1, 0, -1, -1, -1, -1, -1, -1]
tension	-1.3	1.00499	[-2, -1, -1, -1, -1, -2, -2, -3, 1, -1]
tensional	-0.8	0.74833	[-1, 0, -1, -1, -1, -2, 1, -1, -1, -1]
tensioned	-0.4	1.11355	[-2, 0, -1, 2, -1, 0, -1, -1, -1, 1]
tensioner	-1.6	0.8	[-1, -3, -2, -2, -2, 0, -1, -2, -1, -2]
tensioners	-0.9	1.04403	[-1, 0, -2, -2, -1, 1, -2, 0, 0, -2]
tensioning	-1.4	1.0198	[-1, -1, -1, -1, 0, -2, -3, -3, 0, -2]
tensionless	0.6	0.8	[1, 1, 1, -1, 0, 0, 0, 2, 1, 1]
tensions	-1.7	0.78102	[-1, -3, -1, -1, -2, -2, -3, -1, -2, -1]
terrible	-2.1	0.9434	[-1, -3, -2, -1, -3, -1, -2, -2, -4, -2]
terribleness	-1.9	1.81384	[3, -3, -3, -3, -3, -1, -2, -1, -3, -3]
terriblenesses	-2.6	0.4899	[-2, -3, -3, -2, -3, -2, -2, -3, -3, -3]
terribly	-2.6	0.4899	[-3, -3, -3, -2, -2, -3, -3, -2, -2, -3]
terrific	2.1	1.81384	[4, 3, 4, 1, -1, -1, 4, 2, 2, 3]
terrifically	1.7	1.95192	[2, 2, 4, 2, 3, 3, -2, 3, -2, 2]
terrified	-3.0	0.63246	[-2, -3, -3, -3, -4, -3, -4, -2, -3, -3]
terrifies	-2.6	1.0198	[-2, -4, -3, -3, -4, -1, -2, -3, -1, -3]
terrify	-2.3	0.78102	[-3, -3, -2, -2, -1, -4, -2, -2, -2, -2]
terrifying	-2.7	0.78102	[-4, -3, -3, -2, -2, -2, -4, -2, -3, -2]
terror	-2.4	1.2	[-3, -4, -2, -1, 0, -4, -3, -2, -2, -3]
terrorise	-3.1	0.83066	[-2, -3, -4, -4, -3, -3, -2, -4, -2, -4]
terrorised	-3.3	0.64031	[-3, -3, -4, -3, -2, -4, -4, -3, -4, -3]
terrorises	-3.3	0.45826	[-3, -3, -4, -3, -3, -4, -4, -3, -3, -3]
terrorising	-3.0	0.44721	[-3, -3, -3, -3, -2, -3, -4, -3, -3, -3]
terrorism	-3.6	0.4899	[-4, -3, -4, -4, -4, -3, -3, -4, -3, -4]
terrorisms	-3.2	0.6	[-4, -4, -4, -3, -3, -3, -2, -3, -3, -3]
terrorist	-3.7	0.45826	[-4, -3, -4, -4, -4, -3, -4, -4, -3, -4]
terroristic	-3.3	0.78102	[-4, -3, -2, -3, -4, -3, -4, -2, -4, -4]
terrorists	-3.1	0.9434	[-3, -4, -2, -2, -4, -2, -2, -4, -4, -4]
terrorization	-2.7	0.9	[-4, -4, -3, -2, -2, -4, -2, -2, -2, -2]
terrorize	-3.3	0.78102	[-4, -4, -3, -3, -4, -2, -2, -4, -3, -4]
terrorized	-3.1	0.7	[-2, -3, -2, -4, -4, -4, -3, -3, -3, -3]
terrorizes	-3.1	0.53852	[-2, -3, -3, -4, -3, -4, -3, -3, -3, -3]
terrorizing	-3.0	1.0	[-3, -1, -4, -4, -4, -3, -2, -3, -2, -4]
terrorless	0.9	1.04403	[-2, 2, 1, 2, 1, 1, 1, 1, 1, 1]
terrors	-2.6	0.4899	[-2, -3, -3, -3, -2, -2, -3, -2, -3, -3]
thank	1.5	0.92195	[3, 1, 1, 0, 1, 1, 2, 3, 1, 2]
thanked	1.9	1.22066	[1, 3, 1, 1, 1, 1, 4, 4, 2, 1]
thankful	2.7	0.78102	[4, 2, 2, 3, 2, 4, 3, 3, 2, 2]
thankfuller	1.9	0.53852	[2, 2, 1, 2, 2, 2, 1, 2, 3, 2]
thankfullest	2.0	1.0	[3, 1, 1, 4, 1, 2, 2, 2, 3, 1]
thankfully	1.8	0.6	[2, 1, 2, 1, 2, 3, 2, 2, 1, 2]
thankfulness	2.1	1.44568	[3, 3, 4, 2, 2, 1, -1, 1, 2, 4]
thanks	1.9	1.04403	[1, 1, 1, 1, 3, 2, 1, 4, 3, 2]
thief	-2.4	0.66332	[-3, -2, -2, -2, -2, -4, -2, -2, -3, -2]
thieve	-2.2	0.4	[-2, -2, -2, -3, -2, -2, -3, -2, -2, -2]
thieved	-1.4	1.28062	[-1, -2, -3, -1, -2, 2, -2, -1, -2, -2]
thieveries	-2.1	0.53852	[-2, -3, -2, -3, -1, -2, -2, -2, -2, -2]
thievery	-2.0	0.89443	[-2, -2, -2, -1, -1, -3, -1, -2, -4, -2]
thieves	-2.3	0.78102	[-3, -2, -2, -4, -1, -2, -2, -2, -3, -2]
thorny	-1.1	0.83066	[1, -1, -1, -1, -1, -1, -1, -2, -2, -2]
thoughtful	1.6	0.4899	[2, 2, 1, 1, 1, 1, 2, 2, 2, 2]
thoughtfully	1.7	0.64031	[2, 1, 1, 3, 1, 2, 1, 2, 2, 2]
thoughtfulness	1.9	0.53852	[1, 2, 1, 2, 2, 3, 2, 2, 2, 2]
thoughtless	-2.0	0.63246	[-2, -1, -3, -3, -2, -1, -2, -2, -2, -2]
threat	-2.4	0.66332	[-2, -3, -2, -2, -2, -4, -3, -2, -2, -2]
threaten	-1.6	1.56205	[-4, -1, -3, -2, 1, -3, -1, 1, -2, -2]
threatened	-2.0	0.63246	[-2, -2, -3, -2, -2, -1, -2, -3, -1, -2]
threatener	-1.4	1.68523	[-2, -2, -3, -2, 3, 0, -2, -3, -1, -2]
threateners	-1.8	0.74833	[-3, -1, -2, -1, -1, -3, -2, -2, -2, -1]
threatening	-2.4	0.8	[-3, -3, -2, -3, -2, -1, -3, -1, -3, -3]
threateningly	-2.2	0.6	[-2, -2, -2, -2, -2, -2, -2, -2, -4, -2]
threatens	-1.6	1.56205	[-2, -2, -2, 1, -4, -3, -3, -1, 1, -1]
threating	-2.0	0.44721	[-3, -2, -2, -2, -1, -2, -2, -2, -2, -2]
threats	-1.8	0.74833	[-1, -1, -1, -2, -2, -2, -3, -3, -2, -1]
thrill	1.5	1.11803	[2, 2, 2, 0, 1, -1, 2, 3, 2, 2]
thrilled	1.9	1.81384	[3, -1, 3, 3, 1, -2, 3, 3, 3, 3]
thriller	0.4	1.2	[0, 0, 3, 1, 1, -2, 0, 1, 0, 0]
thrillers	0.1	0.83066	[0, 2, 0, 0, 0, -1, 0, -1, 0, 1]
thrilling	2.1	1.04403	[3, 0, 2, 3, 1, 3, 3, 2, 1, 3]
thrillingly	2.0	0.7746	[0, 2, 2, 3, 3, 2, 2, 2, 2, 2]
thrills	1.5	0.92195	[2, 3, 1, 2, 0, 2, 1, 0, 2, 2]
thwarted	-0.1	1.75784	[1, -2, -3, 0, 2, 0, 2, -2, -1, 2]
thwarting	-0.7	0.78102	[0, 0, -1, -1, -1, -2, 1, -1, -1, -1]
thwarts	-0.4	1.28062	[-2, 0, 0, -2, 0, 1, 2, 0, -1, -2]
ticked	-1.8	0.6	[-2, -1, -1, -2, -2, -1, -2, -2, -3, -2]
timid	-1.0	0.44721	[-1, -1, -1, -1, 0, -1, -2, -1, -1, -1]
timider	-1.0	0.44721	[-1, -2, -1, -1, -1, 0, -1, -1, -1, -1]
timidest	-0.9	0.7	[0, -1, 0, -1, 0, -1, -1, -2, -1, -2]
timidities	-0.7	0.64031	[-1, -1, -1, 0, -2, 0, -1, 0, 0, -1]
timidity	-1.3	0.45826	[-1, -2, -1, -1, -1, -1, -2, -2, -1, -1]
timidly	-0.7	0.78102	[0, -1, -1, -1, -1, 1, 0, -1, -2, -1]
timidness	-1.0	0.89443	[-1, -2, -1, 0, -1, -2, 1, -2, -1, -1]
timorous	-0.8	0.9798	[-2, -1, -1, -1, -1, -2, -1, 1, 1, -1]
tired	-1.9	0.7	[-2, -1, -2, -3, -2, -3, -1, -1, -2, -2]
tits	-0.9	0.53852	[-1, -1, -2, -1, -1, -1, 0, -1, 0, -1]
tolerance	1.2	1.53623	[2, 3, 2, 2, -2, 1, 1, 3, -1, 1]
tolerances	0.3	0.9	[-1, 1, 0, 0, 1, 2, 0, -1, 1, 0]
tolerant	1.1	0.53852	[1, 2, 1, 1, 1, 1, 1, 1, 0, 2]
tolerantly	0.4	1.2	[0, 1, 1, 1, 0, -3, 1, 1, 1, 1]
toothless	-1.4	1.0198	[-1, -4, -1, -2, -1, 0, -1, -2, -1, -1]
top	0.8	0.87178	[1, 3, 1, 1, 1, 0, 0, 1, 0, 0]
tops	2.3	1.00499	[3, 3, 3, 0, 2, 2, 3, 3, 1, 3]
torn	-1.0	1.0	[-1, -1, -1, 0, -1, -1, -3, -2, 1, -1]
torture	-2.9	1.51327	[-4, -4, -3, -4, 1, -2, -3, -2, -4, -4]
tortured	-2.6	1.0198	[-4, -1, -2, -2, -4, -3, -2, -2, -4, -2]
torturer	-2.3	1.18743	[-4, -1, -1, -2, -4, -1, -2, -2, -4, -2]
torturers	-3.5	0.67082	[-4, -4, -3, -3, -4, -4, -4, -2, -3, -4]
tortures	-2.5	0.92195	[-2, -3, -2, -4, -1, -3, -2, -4, -2, -2]
torturing	-3.0	0.89443	[-4, -4, -4, -2, -3, -2, -4, -2, -2, -3]
torturous	-2.7	0.78102	[-3, -3, -1, -3, -4, -2, -2, -3, -3, -3]
torturously	-2.2	1.6	[2, -3, -3, -2, -3, -2, -4, -3, -1, -3]
totalitarian	-2.1	1.3	[0, -4, -3, 0, -3, -2, -3, -1, -2, -3]
totalitarianism	-2.7	1.18743	[-2, -3, 0, -4, -2, -4, -4, -2, -3, -3]
tough	-0.5	1.43178	[0, -2, 0, 0, 1, 2, -1, -2, -3, 0]
toughed	0.7	0.64031	[1, 1, 0, 1, 1, 0, 2, 1, 0, 0]
toughen	0.1	1.04403	[0, 0, 1, 0, 1, 0, 2, 0, -2, -1]
toughened	0.1	0.53852	[1, 0, 0, 0, 0, -1, 1, 0, 0, 0]
toughening	0.9	0.83066	[0, 2, 2, 1, 1, 0, 1, 0, 0, 2]
toughens	-0.2	1.16619	[1, -1, 0, 1, 0, -2, -2, 1, -1, 1]
tougher	0.7	1.00499	[1, 1, -1, 0, 2, 0, 2, 2, 0, 0]
toughest	-0.3	1.84662	[2, 1, -1, -3, 0, -2, 2, -2, 2, -2]
toughie	-0.7	0.64031	[-1, 1, 0, -1, -1, -1, -1, -1, -1, -1]
toughies	-0.6	0.66332	[-1, -1, -1, 0, 0, -1, 1, -1, -1, -1]
toughing	-0.5	1.20416	[-1, 0, -2, 0, 0, -2, 2, 0, -2, 0]
toughish	-1.0	1.0	[0, -1, 0, -2, -2, -1, 1, -2, -2, -1]
toughly	-1.1	0.83066	[-1, 0, 0, -1, 0, -1, -2, -2, -2, -2]
toughness	-0.2	1.07703	[0, 0, -1, -2, 0, 1, 1, 1, -2, 0]
toughnesses	0.3	1.18743	[1, 2, -1, 0, 1, 1, -2, 1, -1, 1]
toughs	-0.8	1.16619	[0, 0, -1, 0, -1, -3, -2, 1, 0, -2]
toughy	-0.5	1.11803	[-1, -2, -1, 0, -1, -1, 1, -1, 2, -1]
tout	-0.5	0.67082	[-1, 0, -2, -1, 0, 0, -1, 0, 0, 0]
touted	-0.2	0.9798	[-1, 2, 0, -2, -1, 0, 0, 0, 0, 0]
touting	-0.7	0.64031	[0, 0, -1, -1, -1, -1, 0, -2, 0, -1]
touts	-0.1	0.7	[1, 1, 0, -1, 0, -1, -1, 0, 0, 0]
tragedian	-0.5	0.67082	[-2, 0, -1, 0, 0, -1, 0, -1, 0, 0]
tragedians	-1.0	1.18322	[-1, 0, -2, -1, 0, -3, 0, 0, 0, -3]
tragedienne	-0.4	0.4899	[0, 0, -1, -1, 0, 0, -1, -1, 0, 0]
tragediennes	-1.4	1.28062	[0, -3, 0, -1, -3, 0, -2, -3, 0, -2]
tragedies	-1.9	1.86815	[-3, -4, -2, 2, -3, -4, -2, 1, -2, -2]
tragedy	-3.4	1.0198	[-4, -4, -4, -4, -2, -3, -1, -4, -4, -4]
tragic	-2.0	1.94936	[-1, -3, -4, -3, -3, -4, -2, 1, 2, -3]
tragical	-2.4	1.11355	[-3, -3, -3, -2, -1, -3, -4, -3, 0, -2]
tragically	-2.7	1.48661	[-4, -4, -4, -2, -1, -4, -1, 0, -3, -4]
tragicomedy	0.2	0.9798	[0, -2, 0, 0, 0, 2, 1, 1, 0, 0]
tragicomic	-0.2	0.74833	[0, -1, 1, 0, 0, 0, -2, 0, 0, 0]
tragics	-2.2	0.74833	[-3, -2, -4, -1, -2, -2, -2, -2, -2, -2]
tranquil	0.2	1.77764	[2, 1, -1, 2, -3, 3, -1, 1, -1, -1]
tranquiler	1.9	0.7	[2, 1, 2, 2, 3, 3, 2, 2, 1, 1]
tranquilest	1.6	1.35647	[1, 2, 2, 2, 0, 2, -1, 4, 3, 1]
tranquilities	1.5	1.36015	[3, 2, 4, -1, 1, 0, 2, 2, 1, 1]
tranquility	1.8	1.16619	[3, 2, 1, 2, 3, 4, 1, 1, 1, 0]
tranquilize	0.3	1.00499	[0, -2, 1, -1, 1, 1, 1, 0, 1, 1]
tranquilized	-0.2	1.32665	[-2, 0, 1, 0, 1, 2, 0, -2, -2, 0]
tranquilizer	-0.1	0.9434	[0, 1, -1, 0, -1, 0, -2, 1, 1, 0]
tranquilizers	-0.4	0.8	[0, 0, 0, -2, -1, -1, -1, 1, 0, 0]
tranquilizes	-0.1	0.9434	[-2, 0, 1, 0, 1, 1, 0, -1, -1, 0]
tranquilizing	-0.5	0.67082	[-1, 0, 0, -1, -1, -1, 1, 0, -1, -1]
tranquillest	0.8	1.4	[1, 1, 2, 3, 1, 1, 0, -1, -2, 2]
tranquillities	0.5	1.20416	[-2, 1, 2, 0, 2, 1, 0, -1, 1, 1]
tranquillity	1.8	1.07703	[1, 2, 2, 2, 3, 3, 2, -1, 2, 2]
tranquillized	-0.2	1.07703	[0, 1, 0, 0, -3, 0, 1, 0, -1, 0]
tranquillizer	-0.1	0.7	[0, 1, 0, 0, -1, 0, 1, 0, -1, -1]
tranquillizers	-0.2	0.74833	[0, 0, 0, -2, 1, 0, 0, 0, -1, 0]
tranquillizes	0.1	0.7	[-1, -1, 0, 0, 1, 1, 1, 0, 0, 0]
tranquillizing	0.8	0.87178	[1, 2, 0, 2, 0, 0, 2, 0, 0, 1]
tranquilly	1.2	0.87178	[2, 2, 1, 2, -1, 2, 1, 1, 1, 1]
tranquilness	1.5	1.20416	[3, 3, 1, 2, 2, 2, 0, -1, 1, 2]
trap	-1.3	0.78102	[-1, -1, -2, 0, -1, -1, -2, -1, -1, -3]
trapped	-2.4	0.91652	[-3, -2, -3, -1, -3, -1, -2, -2, -4, -3]
trauma	-1.8	1.249	[-2, -2, -3, -1, -2, 1, -2, -4, -1, -2]
traumas	-2.2	1.6	[-3, -3, -2, -4, 0, -1, -4, -3, 1, -3]
traumata	-1.7	1.34536	[-2, -3, -2, 0, -2, 1, -4, -2, -1, -2]
traumatic	-2.7	1.00499	[-2, -4, -2, -1, -4, -3, -2, -3, -4, -2]
traumatically	-2.8	0.6	[-4, -2, -3, -2, -2, -3, -3, -3, -3, -3]
traumatise	-2.8	0.6	[-4, -3, -3, -2, -2, -3, -2, -3, -3, -3]
traumatised	-2.4	0.91652	[-4, -4, -2, -2, -1, -2, -3, -2, -2, -2]
traumatises	-2.2	0.87178	[-3, -4, -2, -2, -1, -2, -3, -1, -2, -2]
traumatising	-1.9	1.86815	[-3, -3, -3, -1, -3, 1, -4, -2, 2, -3]
traumatism	-2.4	0.4899	[-3, -2, -3, -2, -2, -2, -2, -3, -3, -2]
traumatization	-3.0	1.0	[-4, -4, -4, -2, -2, -2, -4, -4, -2, -2]
traumatizations	-2.2	1.16619	[-3, -2, -4, 0, -1, -2, -4, -2, -2, -2]
traumatize	-2.4	0.66332	[-3, -3, -2, -4, -2, -2, -2, -2, -2, -2]
traumatized	-1.7	1.41774	[-1, -2, -2, -2, 2, -4, -2, -2, -2, -2]
traumatizes	-1.4	1.42829	[-2, -1, -2, -2, 2, -4, -1, -2, -1, -1]
traumatizing	-2.3	1.61555	[-4, -2, -2, -3, -2, -4, -4, 1, 0, -3]
travesty	-2.7	1.48661	[-3, -4, 0, -2, -4, -3, -4, 0, -3, -4]
treason	-1.9	1.75784	[-3, -3, -2, -3, -3, 1, -2, -3, -3, 2]
treasonous	-2.7	1.34536	[-3, -3, -3, -4, -3, -4, -2, 1, -3, -3]
treasurable	2.5	0.67082	[2, 3, 3, 3, 2, 4, 2, 2, 2, 2]
treasure	1.2	1.16619	[3, 1, 3, 2, 0, 2, 1, 0, 0, 0]
treasured	2.6	0.66332	[3, 3, 2, 3, 3, 2, 1, 3, 3, 3]
treasurer	0.5	0.67082	[1, 0, 0, 0, 1, 0, 0, 0, 1, 2]
treasurers	0.4	0.66332	[0, 0, 0, 0, 1, 1, 2, 0, 0, 0]
treasurership	0.4	0.66332	[0, 0, 2, 0, 1, 0, 1, 0, 0, 0]
treasurerships	1.2	0.87178	[2, 0, 2, 0, 2, 1, 2, 2, 1, 0]
treasures	1.8	1.32665	[3, 3, 0, 1, 1, 4, 0, 3, 2, 1]
treasuries	0.9	1.04403	[0, 0, 1, 3, 2, 2, 0, 1, 0, 0]
treasuring	2.1	0.7	[2, 1, 3, 1, 3, 2, 2, 2, 2, 3]
treasury	0.8	1.07703	[2, 3, 0, 0, 0, 0, 0, 1, 2, 0]
treat	1.7	0.78102	[2, 2, 2, 0, 2, 1, 3, 2, 1, 2]
tremble	-1.1	1.3	[-2, 0, -1, -2, -2, -2, 2, 0, -2, -2]
trembled	-1.1	1.22066	[-1, 1, -1, -2, -2, -1, -3, -2, 1, -1]
trembler	-0.6	1.28062	[-2, -2, -1, 0, -1, 2, 1, -2, -1, 0]
tremblers	-1.0	0.63246	[-2, 0, -1, -1, 0, -2, -1, -1, -1, -1]
trembles	-0.1	1.51327	[-1, -2, -1, 0, -1, 2, 2, -2, 2, 0]
trembling	-1.5	0.92195	[-3, 0, -1, -3, -1, -1, -1, -2, -1, -2]
trembly	-1.2	0.87178	[-2, 0, -1, -2, -2, -1, 0, 0, -2, -2]
tremulous	-1.0	1.09545	[-1, -2, -1, -1, -1, -1, 2, -2, -2, -1]
trick	-0.2	1.32665	[-1, 1, -2, -2, -1, 2, 0, 1, 1, -1]
tricked	-0.6	0.91652	[-1, -1, -1, -1, 2, 0, -1, -1, -1, -1]
tricker	-0.9	0.83066	[-2, 0, -1, -1, 1, -2, -1, -1, -1, -1]
trickeries	-1.2	1.46969	[-2, -2, -1, -2, -1, 2, 1, -2, -3, -2]
trickers	-1.4	0.66332	[-1, -3, -1, -2, -2, -1, -1, -1, -1, -1]
trickery	-1.1	1.51327	[1, -1, -1, -2, -3, -2, -3, 2, -1, -1]
trickie	-0.4	1.0198	[1, -1, 0, -1, -1, 1, -2, -1, 1, -1]
trickier	-0.7	0.78102	[-1, -1, -1, 0, 1, -1, -1, -1, 0, -2]
trickiest	-1.2	0.6	[-2, -2, 0, -1, -2, -1, -1, -1, -1, -1]
trickily	-0.8	0.74833	[0, 1, -1, -1, -1, -1, -1, -1, -2, -1]
trickiness	-1.2	0.9798	[-2, -1, -1, -2, -1, -2, 1, 0, -2, -2]
trickinesses	-0.4	1.0198	[0, 2, 0, -2, -1, -1, 0, 0, -1, -1]
tricking	0.1	1.37477	[0, -2, 2, -1, 2, -2, 0, 1, 1, 0]
trickish	-1.0	0.44721	[-1, -2, 0, -1, -1, -1, -1, -1, -1, -1]
trickishly	-0.7	1.55242	[-3, -2, -1, 2, -1, 2, -2, -1, 0, -1]
trickishness	-0.4	1.28062	[-1, 1, -2, -1, -1, -1, 0, -2, 1, 2]
trickled	0.1	0.3	[0, 0, 0, 0, 0, 0, 0, 0, 1, 0]
trickledown	-0.7	0.64031	[0, -1, 0, -1, -2, 0, 0, -1, -1, -1]
trickles	0.2	0.4	[0, 0, 0, 1, 0, 0, 0, 0, 1, 0]
trickling	-0.2	0.9798	[0, 0, -1, -2, -1, 2, 0, 0, 0, 0]
trickly	-0.3	0.45826	[0, 0, -1, 0, 0, 0, 0, -1, 0, -1]
tricks	-0.5	0.67082	[0, 0, -1, -1, 1, -1, -1, 0, -1, -1]
tricksier	-0.5	0.67082	[-1, -1, 1, 0, -1, 0, 0, -1, -1, -1]
tricksiness	-1.0	0.89443	[0, 0, -1, -1, -1, 0, -1, -2, -3, -1]
trickster	-0.9	0.83066	[-1, -2, 0, -1, -2, -1, -1, 1, -1, -1]
tricksters	-1.3	0.9	[-1, -2, -1, -2, 1, -2, -2, -1, -1, -2]
tricksy	-0.8	0.9798	[-1, -1, -2, -1, 2, -1, -1, -1, -1, -1]
tricky	-0.6	0.66332	[0, 0, -1, -1, 1, -1, -1, -1, -1, -1]
trite	-0.8	0.4	[-1, -1, 0, 0, -1, -1, -1, -1, -1, -1]
triumph	2.1	1.04403	[2, 4, 3, 3, 1, 3, 1, 2, 1, 1]
triumphal	2.0	0.63246	[2, 3, 3, 2, 1, 2, 1, 2, 2, 2]
triumphalisms	1.9	0.9434	[2, 1, 2, 2, 2, 0, 2, 2, 4, 2]
triumphalist	0.5	1.20416	[1, 1, 2, 2, -1, -2, 0, 1, 0, 1]
triumphalists	0.9	1.64012	[1, -1, 0, 0, 1, 3, -2, 3, 1, 3]
triumphant	2.4	0.91652	[2, 3, 3, 3, 4, 1, 2, 1, 3, 2]
triumphantly	2.3	1.00499	[3, 3, 3, 3, 1, 0, 3, 2, 2, 3]
triumphed	2.2	1.4	[2, 3, 3, 3, 4, 3, 1, 1, -1, 3]
triumphing	2.3	0.64031	[2, 2, 3, 2, 2, 3, 2, 3, 1, 3]
triumphs	2.0	1.41421	[3, 2, 3, 3, 3, 1, -1, 1, 1, 4]
trivial	-0.1	0.83066	[0, -1, -1, 0, 1, 0, 1, -1, 1, -1]
trivialise	-0.8	1.16619	[-3, -1, -2, 0, 1, -1, -1, 1, -1, -1]
trivialised	-0.8	1.6	[-2, 0, -2, 1, -1, 0, 1, 1, -4, -2]
trivialises	-1.1	0.53852	[-1, -1, -1, 0, -1, -1, -1, -2, -2, -1]
trivialising	-1.4	0.66332	[-2, -1, -2, -1, 0, -1, -2, -1, -2, -2]
trivialities	-1.0	0.63246	[-2, -2, -1, -1, -1, 0, 0, -1, -1, -1]
triviality	-0.5	1.11803	[-1, -1, -2, 0, -1, -1, 2, -1, 1, -1]
trivialization	-0.9	1.04403	[-1, 2, -1, -1, -2, -2, -1, -1, -1, -1]
trivializations	-0.7	1.18743	[-2, -1, -1, -2, 1, -1, -1, -1, 2, -1]
trivialize	-1.1	0.53852	[0, -2, -2, -1, -1, -1, -1, -1, -1, -1]
trivialized	-0.6	0.8	[-1, -1, 0, 0, -1, -1, 1, -1, 0, -2]
trivializes	-1.0	0.7746	[-1, -1, -1, 0, -1, 0, -1, -1, -1, -3]
trivializing	-0.6	1.95959	[-1, -1, -2, -1, -1, 2, -2, -4, 1, 3]
trivially	0.4	1.56205	[-1, -1, -1, -1, 0, 3, 0, 2, 3, 0]
trivium	-0.3	0.64031	[0, 0, -2, 0, 0, 0, 0, -1, 0, 0]
trouble	-1.7	0.64031	[-2, -2, -1, -1, -3, -2, -1, -2, -1, -2]
troubled	-2.0	0.44721	[-2, -2, -2, -1, -2, -3, -2, -2, -2, -2]
troublemaker	-2.0	0.63246	[-3, -2, -3, -2, -2, -1, -1, -2, -2, -2]
troublemakers	-2.2	0.74833	[-3, -3, -3, -1, -3, -1, -2, -2, -2, -2]
troublemaking	-1.8	0.6	[-2, -1, -1, -2, -2, -2, -3, -2, -1, -2]
troubler	-1.4	0.4899	[-1, -1, -2, -1, -1, -1, -2, -2, -2, -1]
troublers	-1.9	0.3	[-2, -2, -2, -2, -1, -2, -2, -2, -2, -2]
troubles	-2.0	0.44721	[-2, -2, -2, -1, -2, -3, -2, -2, -2, -2]
troubleshoot	0.8	0.9798	[0, 0, 0, 2, 2, 2, 2, 0, 0, 0]
troubleshooter	1.0	0.89443	[0, 0, 0, 1, 2, 2, 0, 1, 2, 2]
troubleshooters	0.8	0.87178	[0, 0, 1, 2, 0, 1, 0, 2, 2, 0]
troubleshooting	0.7	1.34536	[0, 2, 1, 1, -1, 2, 0, 2, -2, 2]
troubleshoots	0.5	0.92195	[1, -1, 0, 0, 0, 0, 1, 0, 2, 2]
troublesome	-2.3	0.78102	[-3, -2, -3, -2, -3, -3, -1, -2, -1, -3]
troublesomely	-1.8	0.6	[-3, -1, -2, -2, -1, -2, -2, -2, -2, -1]
troublesomeness	-1.9	0.7	[-2, -1, -2, -3, -2, -3, -1, -2, -1, -2]
troubling	-2.5	0.67082	[-3, -3, -3, -3, -1, -2, -3, -2, -3, -2]
troublous	-2.1	0.53852	[-2, -2, -2, -2, -2, -3, -2, -3, -1, -2]
troublously	-2.1	1.22066	[-2, -3, -3, -3, -2, -1, 1, -2, -3, -3]
trueness	2.1	0.9434	[2, 1, 1, 3, 3, 4, 2, 1, 2, 2]
truer	1.5	0.67082	[1, 2, 1, 2, 1, 1, 2, 1, 3, 1]
truest	1.9	0.83066	[2, 2, 2, 3, 3, 0, 2, 1, 2, 2]
truly	1.9	0.9434	[4, 3, 1, 2, 2, 1, 1, 1, 2, 2]
trust	2.3	1.26886	[0, 4, 3, 3, 4, 1, 2, 2, 1, 3]
trustability	2.1	0.7	[1, 3, 3, 2, 2, 2, 1, 3, 2, 2]
trustable	2.3	0.45826	[2, 2, 3, 2, 2, 3, 3, 2, 2, 2]
trustbuster	-0.5	1.28452	[-3, -1, 0, 0, 0, 0, -2, 0, 2, -1]
trusted	2.1	0.9434	[3, 2, 2, 1, 4, 1, 2, 2, 3, 1]
trustee	1.0	0.89443	[2, 2, 0, 1, 1, 0, 2, 0, 2, 0]
trustees	0.3	0.64031	[0, 1, 0, 0, 2, 0, 0, 0, 0, 0]
trusteeship	0.5	0.67082	[0, 1, 1, 0, 0, 1, 0, 0, 2, 0]
trusteeships	0.6	1.0198	[3, 0, 0, 0, 0, 0, 0, 2, 1, 0]
truster	1.9	1.3	[2, 2, 1, 1, 4, 0, 3, 1, 4, 1]
trustful	2.1	0.9434	[1, 2, 2, 1, 2, 2, 1, 3, 3, 4]
trustfully	1.5	0.67082	[2, 1, 2, 1, 1, 3, 1, 2, 1, 1]
trustfulness	2.1	0.83066	[3, 2, 3, 2, 3, 2, 2, 2, 0, 2]
trustier	1.3	1.1	[1, 1, 1, 2, 0, 0, 3, 0, 3, 2]
trusties	1.0	0.7746	[1, 1, 0, 2, 1, 0, 2, 0, 1, 2]
trustiest	2.2	0.87178	[3, 2, 2, 3, 2, 2, 4, 1, 1, 2]
trustily	1.6	0.91652	[2, 0, 3, 1, 2, 1, 1, 1, 2, 3]
trustiness	1.6	0.91652	[2, 3, 0, 1, 2, 2, 2, 2, 0, 2]
trusting	1.7	1.00499	[3, 0, 1, 2, 3, 0, 2, 2, 2, 2]
trustingly	1.6	0.91652	[3, 1, 2, 3, 2, 2, 0, 1, 1, 1]
trustingness	1.6	1.2	[1, 2, 1, 3, 2, 1, 4, 2, 0, 0]
trustless	-2.3	0.78102	[-2, -4, -3, -2, -2, -3, -2, -2, -1, -2]
trustor	0.4	0.66332	[2, 0, 0, 1, 0, 0, 0, 1, 0, 0]
trustors	1.2	0.87178	[0, 0, 2, 1, 1, 2, 2, 2, 0, 2]
trusts	2.1	0.53852	[2, 2, 2, 2, 1, 2, 2, 3, 2, 3]
trustworthily	2.3	0.9	[3, 1, 2, 2, 2, 1, 3, 4, 3, 2]
trustworthiness	1.8	0.74833	[2, 1, 3, 1, 2, 2, 1, 2, 3, 1]
trustworthy	2.6	0.91652	[3, 2, 3, 4, 2, 4, 2, 3, 1, 2]
trusty	2.2	0.74833	[3, 2, 3, 1, 2, 2, 3, 2, 1, 3]
truth	1.3	1.00499	[2, 1, 0, 1, 1, 0, 3, 3, 1, 1]
truthful	2.0	0.63246	[2, 2, 1, 3, 3, 2, 1, 2, 2, 2]
truthfully	1.9	1.04403	[3, 1, 3, 0, 2, 1, 3, 2, 1, 3]
truthfulness	1.7	1.1	[3, 2, 2, 2, 1, -1, 3, 2, 2, 1]
truths	1.8	0.87178	[0, 1, 1, 3, 2, 2, 3, 2, 2, 2]
tumor	-1.6	1.49666	[-3, -2, -2, -1, -2, 1, -4, 1, -2, -2]
turmoil	-1.5	0.92195	[-1, -1, -3, -3, -2, -2, -1, -1, 0, -1]
twat	-3.4	0.91652	[-3, -4, -4, -4, -3, -1, -4, -4, -3, -4]
ugh	-1.8	0.9798	[-1, -1, -1, -1, -1, -2, -4, -2, -3, -2]
uglier	-2.2	0.87178	[-2, -2, -1, -3, -4, -1, -3, -2, -2, -2]
uglies	-2.0	0.89443	[-2, -2, -1, -3, -4, -1, -2, -2, -1, -2]
ugliest	-2.8	0.74833	[-3, -3, -4, -3, -3, -3, -3, -3, -1, -2]
uglification	-2.2	0.87178	[-3, -1, -2, -2, -1, -2, -4, -3, -2, -2]
uglified	-1.5	0.67082	[-1, -1, -3, -2, -2, -1, -1, -1, -2, -1]
uglifies	-1.8	0.74833	[-1, -1, -3, -2, -3, -1, -2, -2, -2, -1]
uglify	-2.1	0.9434	[-3, -3, -1, -4, -2, -2, -1, -2, -1, -2]
uglifying	-2.2	0.4	[-3, -2, -2, -2, -2, -2, -2, -2, -3, -2]
uglily	-2.1	0.3	[-3, -2, -2, -2, -2, -2, -2, -2, -2, -2]
ugliness	-2.7	0.9	[-4, -2, -3, -2, -4, -2, -4, -2, -2, -2]
uglinesses	-2.5	1.0247	[-3, -3, -2, -1, -1, -3, -2, -2, -4, -4]
ugly	-2.3	0.9	[-3, -2, -1, -2, -4, -1, -3, -2, -2, -3]
unacceptable	-2.0	0.44721	[-2, -2, -1, -2, -2, -2, -2, -3, -2, -2]
unappreciated	-1.7	0.78102	[-1, -3, -2, -1, -1, -1, -2, -1, -2, -3]
unapproved	-1.4	0.4899	[-1, -1, -1, -2, -2, -1, -2, -2, -1, -1]
unattractive	-1.9	0.53852	[-1, -2, -3, -2, -1, -2, -2, -2, -2, -2]
unaware	-0.8	0.4	[-1, -1, -1, 0, -1, -1, 0, -1, -1, -1]
unbelievable	0.8	1.6	[0, 0, 1, -2, 1, 3, 1, 0, 4, 0]
unbelieving	-0.8	0.4	[0, -1, -1, -1, -1, -1, -1, 0, -1, -1]
unbiased	-0.1	1.22066	[-2, -1, 2, 1, 0, -1, -1, 1, 1, -1]
uncertain	-1.2	0.6	[-2, -1, -2, -1, -1, -1, 0, -1, -2, -1]
uncertainly	-1.4	0.4899	[-2, -1, -1, -1, -2, -1, -1, -2, -2, -1]
uncertainness	-1.3	0.45826	[-2, -2, -1, -1, -1, -1, -1, -2, -1, -1]
uncertainties	-1.4	0.66332	[-3, -2, -1, -1, -1, -1, -1, -2, -1, -1]
uncertainty	-1.4	0.4899	[-1, -1, -2, -1, -2, -1, -2, -1, -2, -1]
unclear	-1.0	0.44721	[-2, -1, 0, -1, -1, -1, -1, -1, -1, -1]
uncomfortable	-1.6	0.4899	[-2, -1, -2, -1, -1, -2, -2, -1, -2, -2]
uncomfortably	-1.7	0.64031	[-2, -1, -3, -1, -1, -2, -2, -1, -2, -2]
uncompelling	-0.9	0.7	[0, -2, -1, 0, -1, -1, -1, 0, -1, -2]
unconcerned	-0.9	0.83066	[-2, -2, -1, 1, -1, -1, -1, 0, -1, -1]
unconfirmed	-0.5	0.67082	[0, -1, 0, -1, 0, -1, 0, 0, -2, 0]
uncontrollability	-1.7	0.45826	[-1, -1, -2, -2, -2, -2, -1, -2, -2, -2]
uncontrollable	-1.5	1.11803	[-2, -1, -1, -2, -1, -1, 1, -2, -3, -3]
uncontrollably	-1.5	0.67082	[-2, -1, 0, -2, -1, -1, -2, -2, -2, -2]
uncontrolled	-1.0	0.7746	[-1, 0, -1, -2, -1, 0, -1, -2, -2, 0]
unconvinced	-1.6	0.8	[-2, -3, -1, -2, -1, 0, -2, -2, -1, -2]
uncredited	-1.0	1.09545	[-1, -2, -2, 2, -1, -2, -1, -1, -1, -1]
undecided	-0.9	0.9434	[-1, 0, -1, 0, -1, -1, -2, 0, -3, 0]
underestimate	-1.2	0.4	[-1, -2, -1, -1, -1, -1, -1, -1, -2, -1]
underestimated	-1.1	0.53852	[-1, -1, -1, -2, 0, -1, -2, -1, -1, -1]
underestimates	-1.1	1.64012	[-2, -4, -1, -1, -1, -1, 3, -1, -2, -1]
undermine	-1.2	1.16619	[-2, -2, -1, -1, -1, -1, 2, -2, -2, -2]
undermined	-1.5	0.67082	[-1, -2, -1, -3, -1, -1, -1, -2, -2, -1]
undermines	-1.4	0.4899	[-1, -2, -1, -2, -1, -1, -1, -2, -2, -1]
undermining	-1.5	0.67082	[-1, -3, -1, -2, -2, -1, -1, -1, -2, -1]
undeserving	-1.9	0.3	[-2, -2, -1, -2, -2, -2, -2, -2, -2, -2]
undesirable	-1.9	0.7	[-1, -2, -3, -1, -3, -2, -1, -2, -2, -2]
unease	-1.7	0.64031	[-2, -2, -2, -1, -1, -2, -1, -3, -1, -2]
uneasier	-1.4	0.4899	[-1, -1, -1, -2, -2, -1, -2, -2, -1, -1]
uneasiest	-2.1	0.83066	[-1, -4, -3, -2, -2, -2, -2, -2, -1, -2]
uneasily	-1.4	1.0198	[-2, -2, -1, -1, -2, 1, -3, -1, -2, -1]
uneasiness	-1.6	0.4899	[-2, -2, -1, -2, -1, -1, -2, -2, -1, -2]
uneasinesses	-1.8	0.87178	[-2, -1, -4, -1, -1, -2, -2, -2, -1, -2]
uneasy	-1.6	0.4899	[-1, -2, -2, -1, -1, -2, -2, -1, -2, -2]
unemployment	-1.9	0.7	[-2, -1, -2, -3, -1, -2, -1, -2, -2, -3]
unequal	-1.4	0.66332	[-1, -2, -2, -2, -1, -1, -2, 0, -2, -1]
unequaled	0.5	1.80278	[-2, 3, 0, 3, 3, 0, 0, 0, -2, 0]
unethical	-2.3	0.78102	[-3, -3, -1, -2, -2, -2, -3, -1, -3, -3]
unfair	-2.1	0.83066	[-1, -3, -3, -2, -3, -1, -2, -3, -1, -2]
unfocused	-1.7	0.64031	[-2, -1, -2, -1, -1, -2, -3, -2, -1, -2]
unfortunate	-2.0	0.63246	[-2, -2, -2, -3, -3, -1, -2, -1, -2, -2]
unfortunately	-1.4	0.91652	[-2, -1, -2, -2, 1, -2, -1, -1, -2, -2]
unfortunates	-1.9	0.7	[-2, -3, -1, -1, -2, -2, -2, -1, -3, -2]
unfriendly	-1.5	0.5	[-1, -2, -1, -2, -1, -2, -2, -2, -1, -1]
unfulfilled	-1.8	0.4	[-2, -2, -2, -2, -1, -2, -2, -1, -2, -2]
ungrateful	-2.0	0.0	[-2, -2, -2, -2, -2, -2, -2, -2, -2, -2]
ungratefully	-1.8	0.6	[-2, -2, -1, -2, -2, -1, -3, -1, -2, -2]
ungratefulness	-1.6	0.4899	[-2, -2, -2, -2, -1, -1, -1, -2, -2, -1]
unhappier	-2.4	0.8	[-2, -2, -1, -4, -3, -3, -2, -2, -2, -3]
unhappiest	-2.5	0.80623	[-3, -4, -3, -2, -1, -3, -2, -2, -2, -3]
unhappily	-1.9	0.53852	[-2, -1, -2, -2, -3, -2, -1, -2, -2, -2]
unhappiness	-2.4	0.66332	[-3, -2, -2, -3, -2, -2, -3, -1, -3, -3]
unhappinesses	-2.2	0.87178	[-3, -4, -2, -2, -2, -2, -1, -2, -1, -3]
unhappy	-1.8	0.6	[-2, -2, -1, -3, -2, -2, -2, -1, -2, -1]
unhealthy	-2.4	0.66332	[-1, -2, -3, -3, -2, -3, -3, -2, -2, -3]
unified	1.6	0.66332	[1, 2, 2, 1, 2, 1, 2, 1, 3, 1]
unimportant	-1.3	0.45826	[-1, -1, -2, -1, -1, -2, -1, -1, -2, -1]
unimpressed	-1.4	0.66332	[-1, -1, -1, -2, -1, -2, -1, -1, -3, -1]
unimpressive	-1.4	0.4899	[-1, -2, -2, -1, -1, -2, -2, -1, -1, -1]
unintelligent	-2.0	1.18322	[-1, -2, -3, -1, -1, -4, -1, -1, -4, -2]
uninvolved	-2.2	0.9798	[-2, -1, -3, -2, -1, -3, -1, -2, -4, -3]
uninvolving	-2.0	1.18322	[-4, -1, -3, -2, -1, -4, -1, -1, -2, -1]
united	1.8	0.6	[1, 2, 2, 2, 1, 2, 2, 1, 2, 3]
unjust	-2.3	0.45826	[-3, -3, -2, -2, -2, -2, -3, -2, -2, -2]
unkind	-1.6	0.66332	[-2, -2, -1, -1, -1, -2, -3, -1, -1, -2]
unlovable	-2.7	0.9	[-4, -2, -1, -3, -3, -3, -4, -2, -3, -2]
unloved	-1.9	0.53852	[-1, -2, -2, -1, -2, -2, -3, -2, -2, -2]
unlovelier	-1.9	0.7	[-2, -2, -1, -3, -1, -2, -1, -3, -2, -2]
unloveliest	-1.9	0.83066	[-2, -4, -2, -2, -1, -1, -1, -2, -2, -2]
unloveliness	-2.0	0.89443	[-2, -3, -1, -1, -3, -1, -3, -2, -3, -1]
unlovely	-2.1	0.53852	[-2, -3, -2, -3, -1, -2, -2, -2, -2, -2]
unloving	-2.3	0.45826	[-2, -3, -2, -3, -2, -2, -2, -3, -2, -2]
unmatched	-0.3	2.0025	[0, -1, 2, 3, 0, -1, -3, 0, -4, 1]
unmotivated	-1.4	0.4899	[-2, -2, -1, -1, -1, -2, -2, -1, -1, -1]
unpleasant	-2.1	0.53852	[-2, -2, -3, -3, -2, -2, -2, -2, -1, -2]
unprofessional	-2.3	0.78102	[-2, -1, -3, -3, -2, -1, -3, -2, -3, -3]
unprotected	-1.5	0.67082	[-2, -2, -1, -1, -3, -1, -1, -2, -1, -1]
unresearched	-1.1	0.7	[-2, -1, -1, -1, -1, -2, -2, 0, 0, -1]
unsatisfied	-1.7	0.64031	[-2, -1, -2, -1, -1, -2, -3, -1, -2, -2]
unsavory	-1.9	0.53852	[-2, -1, -2, -2, -2, -3, -1, -2, -2, -2]
unsecured	-1.6	0.4899	[-1, -2, -2, -1, -1, -2, -1, -2, -2, -2]
unsettled	-1.3	0.45826	[-1, -1, -1, -2, -2, -1, -2, -1, -1, -1]
unsophisticated	-1.2	0.87178	[-1, -1, -1, -2, -2, -2, -1, -2, 1, -1]
unstable	-1.5	0.5	[-2, -2, -1, -2, -1, -1, -1, -2, -2, -1]
unstoppable	-0.8	1.77764	[0, -4, 2, 0, 1, -2, -2, 0, -3, 0]
unsuccessful	-1.5	0.5	[-2, -1, -1, -2, -2, -1, -1, -1, -2, -2]
unsuccessfully	-1.7	0.78102	[-2, -2, -1, -1, -1, -2, -3, -3, -1, -1]
unsupported	-1.7	0.78102	[-2, 0, -3, -2, -2, -1, -2, -2, -1, -2]
unsure	-1.0	0.44721	[-1, -1, -1, -1, 0, -2, -1, -1, -1, -1]
unsurely	-1.3	0.78102	[-1, 0, -1, -1, -1, -3, -1, -2, -2, -1]
untarnished	1.6	1.35647	[3, 2, 2, 1, 1, 2, -2, 3, 2, 2]
unwanted	-0.9	1.3	[-1, -2, -2, -1, -2, 1, 2, -1, -2, -1]
unwelcome	-1.7	0.45826	[-2, -2, -2, -1, -1, -2, -2, -1, -2, -2]
unworthy	-2.0	0.44721	[-3, -2, -2, -2, -2, -2, -1, -2, -2, -2]
upset	-1.6	0.4899	[-1, -1, -2, -2, -1, -1, -2, -2, -2, -2]
upsets	-1.5	0.67082	[-2, -3, -1, -1, -1, -1, -2, -2, -1, -1]
upsetter	-1.9	0.7	[-2, -2, -1, -1, -3, -2, -3, -1, -2, -2]
upsetters	-2.0	0.63246	[-3, -3, -1, -2, -2, -2, -2, -2, -1, -2]
upsetting	-2.1	0.53852	[-2, -3, -2, -3, -2, -1, -2, -2, -2, -2]
uptight	-1.6	0.4899	[-2, -1, -2, -1, -1, -2, -2, -1, -2, -2]
uptightness	-1.2	0.4	[-1, -2, -1, -2, -1, -1, -1, -1, -1, -1]
urgent	0.8	1.16619	[3, -1, 0, 1, 1, 0, 0, 0, 2, 2]
useful	1.9	0.83066	[2, 1, 1, 2, 2, 4, 2, 1, 2, 2]
usefully	1.8	0.6	[2, 2, 1, 3, 1, 2, 1, 2, 2, 2]
usefulness	1.2	1.32665	[3, 1, 3, -1, 2, 2, 1, 1, -1, 1]
useless	-1.8	0.4	[-2, -1, -2, -2, -1, -2, -2, -2, -2, -2]
uselessly	-1.5	0.67082	[-2, -3, -1, -1, -1, -1, -2, -2, -1, -1]
uselessness	-1.6	0.8	[-3, -2, -2, -2, -1, -2, 0, -1, -1, -2]
v.v	-2.9	0.9434	[-3, -3, -4, -3, -1, -3, -4, -2, -4, -2]
vague	-0.4	0.8	[0, -1, -1, -1, 0, -1, 1, -1, 1, -1]
vain	-1.8	0.6	[-2, -1, -2, -3, -2, -1, -1, -2, -2, -2]
validate	1.5	0.92195	[1, 2, 1, 1, 1, 3, 1, 3, 0, 2]
validated	0.9	0.83066	[2, 1, 0, 1, 1, 0, 2, 0, 0, 2]
validates	1.4	0.66332	[1, 1, 1, 2, 3, 1, 2, 1, 1, 1]
validating	1.4	0.8	[2, 2, 1, 3, 0, 2, 1, 1, 1, 1]
valuable	2.1	0.83066	[3, 2, 4, 2, 2, 2, 2, 1, 1, 2]
valuableness	1.7	0.78102	[2, 2, 1, 3, 3, 2, 1, 1, 1, 1]
valuables	2.1	0.83066	[4, 1, 2, 2, 3, 2, 1, 2, 2, 2]
valuably	2.3	1.00499	[3, 4, 4, 1, 2, 2, 2, 2, 1, 2]
value	1.4	1.11355	[2, 3, 0, 1, 1, 3, 0, 2, 0, 2]
valued	1.9	0.7	[3, 1, 2, 1, 2, 2, 2, 3, 2, 1]
values	1.7	1.18743	[2, 2, 2, 4, 0, 1, 0, 1, 3, 2]
valuing	1.4	0.91652	[1, 0, 3, 2, 2, 2, 2, 0, 1, 1]
vanity	-0.9	1.7	[-2, -3, -3, 0, -2, -1, 2, 2, -1, -1]
verdict	0.6	0.91652	[0, 0, 0, 0, 0, 0, 0, 2, 2, 2]
verdicts	0.3	1.1	[0, 0, 0, 0, 2, 2, 0, -2, 1, 0]
vested	0.6	1.28062	[2, -2, 1, 3, 1, 0, 0, 1, 0, 0]
vexation	-1.9	1.04403	[0, -2, -3, -3, -2, -2, -2, -3, 0, -2]
vexing	-2.0	0.44721	[-2, -2, -2, -1, -2, -2, -2, -3, -2, -2]
vibrant	2.4	0.8	[2, 3, 1, 1, 3, 3, 3, 2, 3, 3]
vicious	-1.5	1.5	[1, -2, -3, -1, -1, -3, 1, -3, -1, -3]
viciously	-1.3	1.26886	[-2, -3, -1, -2, -2, -1, -1, 2, -1, -2]
viciousness	-2.4	1.35647	[-3, -1, -4, -2, -3, -3, 1, -3, -3, -3]
viciousnesses	-0.6	1.62481	[0, -1, -1, -3, 0, -3, 2, 1, 1, -2]
victim	-1.1	1.92094	[-1, -2, 2, -3, -3, -2, -3, 1, 2, -2]
victimhood	-2.0	0.44721	[-2, -2, -2, -2, -2, -1, -3, -2, -2, -2]
victimhoods	-0.9	1.37477	[-1, 0, -1, 1, -2, -1, -4, 1, -1, -1]
victimise	-1.1	1.92094	[-3, -3, -2, -2, -1, 2, -2, 1, -3, 2]
victimised	-1.5	1.56525	[-2, -2, -2, 1, -3, 2, -2, -3, -2, -2]
victimises	-1.2	2.31517	[-3, -3, -4, 2, -2, -2, 1, 2, 1, -4]
victimising	-2.5	0.67082	[-3, -1, -3, -2, -2, -3, -3, -2, -3, -3]
victimization	-2.3	0.78102	[-1, -3, -3, -2, -3, -1, -3, -2, -3, -2]
victimizations	-1.5	1.85742	[-2, -3, -3, -1, -2, 2, 2, -2, -3, -3]
victimize	-2.5	0.67082	[-3, -2, -4, -2, -2, -2, -2, -3, -3, -2]
victimized	-1.8	1.53623	[-2, -1, -3, -3, -3, 1, 1, -2, -3, -3]
victimizer	-1.8	1.72047	[-3, -2, -3, -3, -2, 2, 1, -2, -3, -3]
victimizers	-1.6	1.68523	[-3, -2, -3, 1, -3, -1, -2, 2, -2, -3]
victimizes	-1.5	1.9105	[-2, -1, -4, -3, -2, 2, 2, -2, -3, -2]
victimizing	-2.6	0.4899	[-2, -3, -3, -3, -2, -3, -2, -3, -2, -3]
victimless	0.6	0.4899	[0, 1, 0, 1, 1, 0, 0, 1, 1, 1]
victimologies	-0.6	1.35647	[-2, 0, -2, -1, 0, 2, 1, 0, -2, -2]
victimologist	-0.5	0.67082	[0, -1, -1, 0, 0, 0, 0, -1, -2, 0]
victimologists	-0.4	0.91652	[0, 1, 0, -2, -2, 0, 0, 0, -1, 0]
victimology	0.3	1.00499	[0, 0, 0, -1, 0, 1, 0, 0, 3, 0]
victims	-1.3	2.05183	[-3, -1, -3, -3, -3, 2, 1, -2, 2, -3]
vigilant	0.7	0.9	[0, 2, 0, 2, 0, -1, 1, 1, 1, 1]
vigor	1.1	1.37477	[0, 3, 2, 1, 2, 2, 0, 1, -2, 2]
vigorish	-0.4	1.2	[0, -3, -1, -1, 0, -1, 0, 0, 2, 0]
vigorishes	0.4	1.56205	[0, 0, 2, 1, 2, 0, -2, -2, 0, 3]
vigoroso	1.5	0.67082	[2, 0, 1, 2, 2, 1, 2, 1, 2, 2]
vigorously	0.5	0.92195	[0, 0, 0, 1, 2, 0, 2, -1, 1, 0]
vigorousness	0.4	1.11355	[0, 3, 0, -1, -1, 0, 0, 1, 1, 1]
vigors	1.0	1.0	[0, 1, 0, 1, 0, 0, 1, 3, 2, 2]
vigour	0.9	0.9434	[0, 2, 2, 2, 1, 1, 0, 1, -1, 1]
vigours	0.4	1.68523	[-4, 1, 1, 1, -1, 1, 2, 2, 0, 1]
vile	-3.1	0.83066	[-4, -2, -4, -4, -2, -3, -3, -3, -2, -4]
villain	-2.6	0.4899	[-3, -2, -2, -3, -2, -2, -3, -3, -3, -3]
villainess	-2.9	0.53852	[-3, -2, -3, -4, -3, -2, -3, -3, -3, -3]
villainesses	-2.0	1.18322	[-2, -3, -2, -2, -2, -3, 1, -3, -1, -3]
villainies	-2.3	1.00499	[-3, -2, -3, -3, -3, -1, -3, -2, -3, 0]
villainous	-2.0	0.63246	[-3, -2, -1, -2, -2, -2, -2, -1, -2, -3]
villainously	-2.9	0.53852	[-3, -3, -3, -3, -3, -4, -2, -3, -2, -3]
villainousness	-2.7	0.9	[-4, -3, -4, -3, -1, -3, -2, -2, -2, -3]
villains	-3.4	0.91652	[-4, -3, -4, -3, -4, -3, -4, -4, -1, -4]
villainy	-2.6	0.4899	[-3, -2, -3, -3, -2, -2, -2, -3, -3, -3]
vindicate	0.3	1.95192	[2, -1, -2, -3, -1, 3, 0, 3, 1, 1]
vindicated	1.8	1.16619	[1, 3, -1, 2, 2, 1, 3, 2, 2, 3]
vindicates	1.6	0.66332	[2, 3, 2, 2, 2, 1, 1, 1, 1, 1]
vindicating	-1.1	1.97231	[-3, -2, 2, -3, -2, 1, 1, 1, -3, -3]
violate	-2.2	0.6	[-3, -3, -2, -3, -2, -2, -1, -2, -2, -2]
violated	-2.4	0.66332	[-3, -3, -3, -3, -2, -3, -1, -2, -2, -2]
violater	-2.6	0.91652	[-3, -3, -4, -4, -2, -3, -2, -2, -2, -1]
violaters	-2.4	0.8	[-1, -3, -1, -2, -3, -3, -3, -2, -3, -3]
violates	-2.3	0.9	[-3, -2, -4, -3, -2, -3, -2, -2, -1, -1]
violating	-2.5	0.92195	[-2, -3, -3, -1, -3, -2, -4, -1, -3, -3]
violation	-2.2	0.9798	[-3, -1, -1, -3, -3, -2, -1, -2, -2, -4]
violations	-2.4	0.66332	[-2, -2, -2, -3, -2, -4, -2, -2, -2, -3]
violative	-2.4	0.66332	[-2, -3, -3, -3, -1, -3, -2, -2, -2, -3]
violator	-2.4	1.0198	[-1, -4, -3, -2, -3, -2, -2, -1, -4, -2]
violators	-1.9	1.51327	[-2, 2, -3, -4, -1, -2, -3, -2, -2, -2]
violence	-3.1	0.53852	[-2, -3, -3, -3, -3, -4, -4, -3, -3, -3]
violent	-2.9	0.53852	[-3, -3, -3, -3, -3, -4, -3, -2, -2, -3]
violently	-2.8	0.74833	[-3, -3, -2, -3, -3, -3, -4, -1, -3, -3]
virtue	1.8	0.74833	[1, 2, 3, 2, 2, 2, 3, 1, 1, 1]
virtueless	-1.4	1.0198	[-2, 0, -2, -3, -1, -3, -1, -1, -1, 0]
virtues	1.5	0.80623	[2, 2, 2, 1, 0, 1, 3, 1, 2, 1]
virtuosa	1.7	1.48661	[0, 4, 2, 3, 2, 3, 0, 2, -1, 2]
virtuosas	1.8	0.87178	[2, 3, 1, 2, 1, 0, 3, 2, 2, 2]
virtuose	1.0	1.41421	[2, 1, 0, 2, 1, -1, 1, 1, -1, 4]
virtuosi	0.9	1.37477	[2, 0, 0, 2, 1, 0, 0, 1, -1, 4]
virtuosic	2.2	1.07703	[2, 2, 4, 1, 0, 3, 3, 2, 2, 3]
virtuosity	2.1	0.83066	[3, 3, 3, 2, 1, 3, 2, 2, 1, 1]
virtuoso	2.0	1.0	[2, 2, 3, 2, 1, 0, 3, 3, 3, 1]
virtuosos	1.8	1.16619	[2, 3, 1, -1, 2, 1, 3, 3, 2, 2]
virtuous	2.4	1.2	[0, 3, 2, 1, 3, 4, 2, 2, 4, 3]
virtuously	1.8	1.16619	[3, 2, 3, 1, 3, 1, -1, 2, 2, 2]
virtuousness	2.0	1.09545	[3, 4, 2, 2, 0, 1, 2, 3, 2, 1]
virulent	-2.7	0.64031	[-3, -2, -4, -2, -3, -3, -2, -3, -2, -3]
vision	1.0	1.0	[0, 0, 0, 2, 1, 3, 2, 1, 1, 0]
visionary	2.4	1.0198	[1, 3, 1, 2, 4, 1, 3, 3, 3, 3]
visioning	1.1	0.9434	[1, 2, 0, 0, 3, 0, 1, 1, 2, 1]
visions	0.9	0.9434	[2, 0, 0, 0, 0, 1, 2, 2, 0, 2]
vital	1.2	1.46969	[-3, 2, 1, 1, 2, 2, 1, 2, 2, 2]
vitalise	1.1	0.9434	[1, 2, 0, 2, 2, 0, 2, 0, 2, 0]
vitalised	0.6	1.49666	[1, -2, 2, 0, 2, 1, -2, 2, 0, 2]
vitalises	1.1	1.3	[1, 2, 2, 0, 2, 2, -2, 2, 0, 2]
vitalising	2.1	0.53852	[2, 2, 3, 2, 3, 2, 2, 1, 2, 2]
vitalism	0.2	0.6	[0, 0, 0, 0, 0, 0, 0, 0, 2, 0]
vitalist	0.3	0.64031	[0, 0, 0, 0, 0, 0, 1, 0, 2, 0]
vitalists	0.3	1.34536	[2, -3, 1, 0, 0, 0, 1, 0, 2, 0]
vitalities	1.2	0.87178	[2, 1, 3, 1, 1, 0, 2, 1, 0, 1]
vitality	1.3	0.9	[3, 2, 0, 1, 1, 1, 2, 0, 2, 1]
vitalization	1.6	0.91652	[2, 3, 3, 1, 2, 1, 0, 2, 1, 1]
vitalizations	0.8	0.74833	[0, 1, 1, 2, 0, 0, 0, 2, 1, 1]
vitalize	1.6	0.66332	[3, 2, 2, 1, 2, 1, 1, 1, 2, 1]
vitalized	1.5	0.67082	[1, 1, 2, 2, 0, 2, 1, 2, 2, 2]
vitalizes	1.4	0.4899	[2, 1, 1, 2, 1, 2, 1, 2, 1, 1]
vitalizing	1.3	0.9	[3, 1, 0, 0, 1, 1, 2, 2, 2, 1]
vitally	1.1	0.53852	[0, 2, 1, 1, 1, 1, 2, 1, 1, 1]
vitals	1.1	0.7	[1, 0, 1, 2, 2, 0, 2, 1, 1, 1]
vitamin	1.2	0.87178	[3, 1, 0, 0, 1, 2, 1, 2, 1, 1]
vitriolic	-2.1	0.83066	[-2, -2, -2, -4, -3, -2, -1, -1, -2, -2]
vivacious	1.8	0.9798	[0, 1, 3, 3, 3, 2, 2, 2, 1, 1]
vociferous	-0.8	0.9798	[1, -2, -1, -2, -1, -1, 1, -1, -1, -1]
vulnerabilities	-0.6	1.49666	[0, -3, -1, -1, -1, 2, -2, 2, -1, -1]
vulnerability	-0.9	1.75784	[1, -1, -1, -2, 1, -3, -1, 2, -4, -1]
vulnerable	-0.9	1.37477	[-2, -2, 2, -1, -3, -1, 1, -1, -1, -1]
vulnerableness	-1.1	1.04403	[-1, -1, -2, -3, -1, 1, 0, -2, -1, -1]
vulnerably	-1.2	1.46969	[-2, -2, 2, -1, -2, -3, 1, -1, -2, -2]
vulture	-2.0	0.89443	[-2, -3, -1, -2, -1, -1, -1, -3, -3, -3]
vultures	-1.3	1.55242	[-2, -3, -2, 2, -2, -2, -3, -1, -1, 1]
w00t	2.2	1.32665	[3, 2, 3, 2, 0, 4, 0, 4, 2, 2]
walkout	-1.3	0.9	[-1, -2, -2, -1, -1, -2, -1, 1, -2, -2]
walkouts	-0.7	1.00499	[-2, -2, -1, 0, -1, -1, -1, 1, -1, 1]
wanker	-2.5	0.67082	[-2, -3, -3, -2, -3, -3, -2, -1, -3, -3]
want	0.3	1.18743	[0, -2, 0, 1, 2, -1, 2, 1, 0, 0]
war	-2.9	1.13578	[-1, -3, -4, -4, -3, -1, -2, -3, -4, -4]
warfare	-1.2	1.16619	[-2, 0, -1, -2, 0, -3, 1, -2, -2, -1]
warfares	-1.8	0.87178	[-2, -1, -2, -2, -3, -1, -3, 0, -2, -2]
warm	0.9	0.7	[1, 0, 0, 1, 1, 2, 1, 2, 1, 0]
warmblooded	0.2	0.6	[0, 0, 2, 0, 0, 0, 0, 0, 0, 0]
warmed	1.1	0.53852	[2, 0, 1, 1, 1, 2, 1, 1, 1, 1]
warmer	1.2	0.9798	[2, 2, 2, 1, -1, 0, 2, 1, 1, 2]
warmers	1.0	0.44721	[1, 1, 1, 2, 1, 1, 1, 0, 1, 1]
warmest	1.7	1.34536	[3, 2, 1, 2, 3, 2, 2, 2, -2, 2]
warmhearted	1.8	0.6	[3, 2, 2, 2, 2, 1, 2, 1, 1, 2]
warmheartedness	2.7	0.64031	[2, 4, 3, 2, 3, 3, 3, 2, 2, 3]
warming	0.6	0.8	[0, 0, 2, 2, 1, 1, 0, 0, 0, 0]
warmish	1.4	0.66332	[1, 3, 2, 1, 1, 1, 1, 2, 1, 1]
warmly	1.7	0.64031	[2, 1, 2, 1, 2, 1, 2, 1, 2, 3]
warmness	1.5	0.92195	[3, 1, 2, 1, 0, 1, 3, 2, 1, 1]
warmonger	-2.9	1.13578	[-3, 0, -4, -4, -2, -3, -4, -3, -3, -3]
warmongering	-2.5	0.67082	[-2, -3, -3, -1, -2, -3, -3, -2, -3, -3]
warmongers	-2.8	0.87178	[-2, -3, -4, -4, -3, -1, -2, -3, -3, -3]
warmouth	0.4	0.66332	[0, 0, 2, 0, 0, 0, 0, 1, 1, 0]
warmouths	-0.8	1.32665	[-1, -1, -2, -1, -2, -2, 0, 2, 1, -2]
warms	1.1	0.7	[2, 2, 1, 2, 1, 0, 1, 1, 0, 1]
warmth	2.0	0.44721	[2, 2, 2, 2, 1, 2, 2, 3, 2, 2]
warmup	0.4	0.66332	[0, 2, 0, 1, 1, 0, 0, 0, 0, 0]
warmups	0.8	0.9798	[0, 2, 0, 0, 0, 2, 2, 0, 2, 0]
warn	-0.4	1.35647	[0, -1, 0, -2, -1, 2, 1, -2, 1, -2]
warned	-1.1	0.53852	[-1, -1, -2, 0, -1, -1, -1, -2, -1, -1]
warning	-1.4	1.0198	[-2, -1, -1, -1, -2, 0, -4, -1, -1, -1]
warnings	-1.2	0.9798	[-2, -1, 0, -1, -2, 0, 0, -1, -3, -2]
warns	-0.4	1.0198	[1, -1, -1, 1, -1, -1, -2, 1, 0, -1]
warred	-2.4	0.8	[-2, -2, -4, -1, -3, -2, -3, -2, -3, -2]
warring	-1.9	1.04403	[-3, -3, 0, -1, -2, -2, -3, -1, -1, -3]
wars	-2.6	0.8	[-2, -3, -1, -3, -2, -4, -3, -3, -2, -3]
warsaw	-0.1	0.3	[0, -1, 0, 0, 0, 0, 0, 0, 0, 0]
warsaws	-0.2	0.4	[0, 0, 0, -1, 0, 0, 0, 0, -1, 0]
warship	-0.7	0.9	[0, 0, 0, 0, 0, -2, -1, 0, -2, -2]
warships	-0.5	0.80623	[0, -1, 0, 0, -2, 0, 0, -2, 0, 0]
warstle	0.1	0.7	[0, 0, 0, 0, 0, 0, 0, 0, 2, -1]
waste	-1.8	0.9798	[-2, -2, -1, -3, -2, -1, -1, -4, -1, -1]
wasted	-2.2	0.6	[-2, -3, -2, -3, -1, -3, -2, -2, -2, -2]
wasting	-1.7	0.9	[-3, -1, -2, -2, -1, -2, -3, 0, -1, -2]
wavering	-0.6	1.0198	[-1, -1, 0, 0, -1, -1, -1, 2, -1, -2]
weak	-1.9	0.7	[-1, -3, -2, -2, -3, -2, -2, -1, -2, -1]
weaken	-1.8	0.6	[-2, -2, -2, -1, -1, -3, -2, -2, -1, -2]
weakened	-1.3	0.9	[-2, -1, -1, -1, -1, -2, -2, -2, 1, -2]
weakener	-1.6	1.11355	[-2, -1, -1, -1, -2, -2, -3, -3, 1, -2]
weakeners	-1.3	0.45826	[-1, -2, -1, -2, -1, -1, -2, -1, -1, -1]
weakening	-1.3	0.45826	[-2, -1, -1, -1, -1, -1, -1, -2, -2, -1]
weakens	-1.3	0.45826	[-1, -1, -1, -1, -1, -2, -1, -2, -1, -2]
weaker	-1.9	0.83066	[-2, -2, -2, -2, -2, -1, -4, -1, -1, -2]
weakest	-2.3	0.64031	[-2, -4, -2, -3, -2, -2, -2, -2, -2, -2]
weakfish	-0.2	1.07703	[0, -2, 0, 0, 0, 0, -2, 0, 2, 0]
weakfishes	-0.6	0.8	[0, -1, 0, -2, 0, 0, -1, 0, -2, 0]
weakhearted	-1.6	0.8	[-1, -3, -1, -1, -2, -1, -3, -2, -1, -1]
weakish	-1.2	0.4	[-1, -2, -1, -1, -1, -1, -2, -1, -1, -1]
weaklier	-1.5	0.67082	[-1, -2, -1, -3, -2, -1, -1, -2, -1, -1]
weakliest	-2.1	0.83066	[-2, -2, -2, -2, -3, -1, -2, -1, -4, -2]
weakling	-1.3	1.00499	[-1, -2, -1, -3, -2, -2, -1, -1, 1, -1]
weaklings	-1.4	0.66332	[-2, -1, -1, -1, -1, -2, -2, 0, -2, -2]
weakly	-1.8	0.87178	[-2, -2, -2, -2, -4, -1, -1, -1, -1, -2]
weakness	-1.8	0.6	[-2, -2, -2, -1, -1, -2, -1, -3, -2, -2]
weaknesses	-1.5	0.5	[-2, -2, -1, -1, -2, -1, -1, -2, -1, -2]
weakside	-1.1	1.37477	[-3, -2, -3, -1, -2, -1, 1, 1, -1, 0]
wealth	2.2	0.4	[2, 3, 2, 2, 2, 3, 2, 2, 2, 2]
wealthier	2.2	0.6	[3, 2, 1, 3, 2, 2, 2, 3, 2, 2]
wealthiest	2.2	0.9798	[2, 4, 4, 1, 2, 1, 2, 2, 2, 2]
wealthily	2.0	0.89443	[2, 3, 1, 4, 2, 1, 1, 2, 2, 2]
wealthiness	2.4	1.11355	[2, 4, 2, 4, 1, 2, 4, 1, 2, 2]
wealthy	1.5	1.0247	[1, 2, 1, 4, 1, 0, 2, 1, 2, 1]
weapon	-1.2	0.87178	[0, -2, -2, -1, 0, -2, -1, -2, 0, -2]
weaponed	-1.4	0.91652	[-2, -2, -3, -1, -1, 0, 0, -2, -1, -2]
weaponless	0.1	1.13578	[2, -1, 0, 0, -1, 1, -1, 0, 2, -1]
weaponry	-0.9	0.7	[-2, -2, 0, -1, 0, -1, -1, -1, 0, -1]
weapons	-1.9	0.9434	[-2, -1, -2, -2, -1, -3, -3, -3, -2, 0]
weary	-1.1	1.13578	[-2, -1, -2, -3, 0, -1, -1, -2, 0, 1]
weep	-2.7	0.9	[-2, -4, -4, -3, -3, -3, -3, -2, -1, -2]
weeper	-1.9	0.53852	[-2, -2, -2, -3, -1, -1, -2, -2, -2, -2]
weepers	-1.1	1.13578	[-2, -2, -1, -2, -1, 1, -2, 1, -1, -2]
weepie	-0.4	0.91652	[0, 1, -1, 0, -1, -2, 0, -1, -1, 1]
weepier	-1.8	0.87178	[-3, -3, -2, -1, -2, -2, -2, 0, -1, -2]
weepies	-1.6	0.8	[-2, -3, -2, -1, -1, -2, -2, 0, -1, -2]
weepiest	-2.4	0.91652	[-4, -2, -2, -2, -2, -1, -2, -2, -4, -3]
weeping	-1.9	0.9434	[-2, -2, -1, -1, -1, -1, -4, -2, -2, -3]
weepings	-1.9	0.9434	[-2, -2, -3, 0, -1, -2, -2, -3, -1, -3]
weeps	-1.4	1.35647	[-2, -3, -1, -2, -1, -3, 1, -2, 1, -2]
weepy	-1.3	1.55242	[-2, -3, -1, -2, 2, -3, -1, -2, 1, -2]
weird	-0.7	0.64031	[-1, 0, 0, -1, -1, -1, 0, 0, -2, -1]
weirder	-0.5	0.80623	[1, -1, -1, -1, -1, 1, -1, -1, 0, -1]
weirdest	-0.9	1.22066	[-2, 0, -2, -1, -1, -1, -3, 1, 1, -1]
weirdie	-1.3	0.45826	[-1, -2, -1, -2, -1, -1, -2, -1, -1, -1]
weirdies	-1.0	0.63246	[0, -1, -1, -1, -1, 0, -2, -2, -1, -1]
weirdly	-1.2	0.74833	[0, -1, -1, -2, -3, -1, -1, -1, -1, -1]
weirdness	-0.9	1.64012	[-3, -2, -1, -1, 2, -1, 1, -3, 1, -2]
weirdnesses	-0.7	1.00499	[-1, -2, 0, -1, -2, 1, -1, -1, -1, 1]
weirdo	-1.8	0.6	[-2, -2, -2, -2, -2, -2, -1, -1, -3, -1]
weirdoes	-1.3	0.64031	[-2, -1, -2, -1, -1, -2, -1, 0, -1, -2]
weirdos	-1.1	0.9434	[-1, -1, -1, -2, 1, -3, -1, -1, -1, -1]
weirds	-0.6	0.4899	[-1, -1, -1, 0, -1, 0, 0, -1, 0, -1]
weirdy	-0.9	0.83066	[-1, -1, 0, 0, -1, 0, -2, -2, 0, -2]
welcome	2.0	0.63246	[1, 3, 2, 1, 2, 2, 2, 2, 3, 2]
welcomed	1.4	0.4899	[1, 1, 2, 2, 1, 2, 1, 2, 1, 1]
welcomely	1.9	0.53852	[2, 2, 2, 2, 1, 3, 2, 1, 2, 2]
welcomeness	2.0	0.89443	[2, 3, 1, 2, 3, 0, 2, 3, 2, 2]
welcomer	1.4	0.4899	[1, 1, 2, 2, 2, 2, 1, 1, 1, 1]
welcomers	1.9	0.7	[2, 2, 3, 2, 2, 1, 1, 3, 1, 2]
welcomes	1.7	0.78102	[1, 1, 2, 2, 3, 3, 1, 2, 1, 1]
welcoming	1.9	0.7	[2, 2, 1, 1, 2, 2, 2, 3, 3, 1]
well	1.1	1.04403	[0, 0, 2, 0, 2, 0, 1, 1, 3, 2]
welladay	0.3	1.18743	[2, -2, 0, 0, -1, 1, 0, 1, 2, 0]
wellaway	-0.8	1.98997	[3, -2, -3, -3, -1, -2, 1, -2, -1, 2]
wellborn	1.8	0.74833	[2, 1, 2, 1, 2, 2, 1, 3, 1, 3]
welldoer	2.5	0.67082	[2, 2, 2, 3, 2, 3, 4, 3, 2, 2]
welldoers	1.6	0.8	[3, 1, 1, 0, 2, 1, 2, 2, 2, 2]
welled	0.4	0.8	[0, 0, 2, 0, 0, 0, 0, 0, 2, 0]
wellhead	0.1	0.3	[0, 0, 1, 0, 0, 0, 0, 0, 0, 0]
wellheads	0.5	0.92195	[0, 2, 0, 2, -1, 0, 1, 1, 0, 0]
wellhole	-0.1	0.3	[0, 0, 0, -1, 0, 0, 0, 0, 0, 0]
wellies	0.4	0.4899	[0, 1, 0, 0, 0, 1, 0, 0, 1, 1]
welling	1.6	0.8	[2, 0, 1, 2, 2, 1, 3, 2, 2, 1]
wellness	1.9	0.9434	[1, 2, 2, 1, 2, 1, 1, 3, 4, 2]
wells	1.0	1.0	[2, 0, 3, 0, 1, 0, 2, 1, 1, 0]
wellsite	0.5	0.67082	[0, 0, 1, 2, 0, 0, 0, 0, 1, 1]
wellspring	1.5	0.92195	[3, 1, 1, 1, 0, 2, 2, 3, 1, 1]
wellsprings	1.4	0.8	[1, 0, 0, 2, 2, 2, 1, 2, 2, 2]
welly	0.2	0.4	[0, 0, 0, 1, 0, 1, 0, 0, 0, 0]
wept	-2.0	1.09545	[-3, -2, -3, -3, -1, -3, 0, -1, -1, -3]
whimsical	0.3	1.61555	[2, 1, 1, 2, -1, 1, -3, -2, 1, 1]
whine	-1.5	1.11803	[-1, -4, -1, -1, -1, -3, 0, -2, -1, -1]
whined	-0.9	1.04403	[-2, -1, -2, -1, -1, -1, -2, 1, 1, -1]
whiner	-1.2	0.4	[-1, -2, -1, -1, -1, -2, -1, -1, -1, -1]
whiners	-0.6	1.95959	[-2, 0, -2, -2, 4, 1, 1, -2, -2, -2]
whines	-1.8	0.6	[-2, -2, -2, -1, -2, -2, -3, -1, -2, -1]
whiney	-1.3	0.45826	[-1, -2, -1, -1, -1, -2, -2, -1, -1, -1]
whining	-0.9	1.51327	[-3, 0, -1, -1, -3, -1, 1, 2, -2, -1]
whitewash	0.1	0.7	[-1, 0, 1, -1, 0, 0, 0, 1, 1, 0]
whore	-3.3	0.64031	[-4, -4, -3, -2, -3, -4, -3, -3, -4, -3]
whored	-2.8	0.87178	[-2, -3, -4, -2, -2, -3, -4, -4, -2, -2]
whoredom	-2.1	2.02237	[-4, -2, -4, -3, -3, -3, -4, -1, 2, 1]
whoredoms	-2.4	1.11355	[-1, -3, 0, -3, -2, -3, -3, -4, -2, -3]
whorehouse	-1.1	2.11896	[-2, -2, -2, 3, 3, -3, -3, -2, -1, -2]
whorehouses	-1.9	1.92094	[-4, -3, -4, -3, 0, 0, -3, 2, -1, -3]
whoremaster	-1.9	1.22066	[-1, -3, -3, -2, -1, -3, 0, 0, -3, -3]
whoremasters	-1.5	1.85742	[-3, -1, -1, -4, -2, 2, -1, 1, -2, -4]
whoremonger	-2.6	0.91652	[-3, -1, -3, -3, -3, -3, -3, -1, -4, -2]
whoremongers	-2.0	1.78885	[-4, -3, 0, -3, -3, -3, -3, 1, 1, -3]
whores	-3.0	1.0	[-3, -3, -4, -2, -1, -3, -4, -4, -2, -4]
whoreson	-2.2	1.46969	[-2, -3, -4, -4, -3, -1, -1, 1, -3, -2]
whoresons	-2.5	1.20416	[-3, -3, -2, -2, 0, -4, -3, -1, -3, -4]
wicked	-2.4	0.8	[-3, -4, -3, -3, -2, -2, -2, -1, -2, -2]
wickeder	-2.2	1.32665	[-2, -3, -1, -4, 1, -3, -3, -3, -2, -2]
wickedest	-2.9	1.04403	[-3, -1, -3, -3, -3, -3, -1, -4, -4, -4]
wickedly	-2.1	0.83066	[-2, -2, -1, -3, -2, -3, -1, -3, -1, -3]
wickedness	-2.1	0.83066	[-2, -1, -2, -2, -3, -1, -2, -4, -2, -2]
wickednesses	-2.2	1.16619	[-1, -2, -4, -2, -3, -1, -3, -4, -1, -1]
widowed	-2.1	1.22066	[0, -4, -2, -4, -3, -2, -2, -2, -1, -1]
willingness	1.1	0.7	[0, 2, 1, 1, 2, 2, 1, 0, 1, 1]
wimp	-1.4	1.28062	[-2, -3, -1, -2, -1, -2, -2, -1, 2, -2]
wimpier	-1.0	1.18322	[-1, -2, -2, -1, -2, 0, 1, -2, 1, -2]
wimpiest	-0.9	1.22066	[-3, -1, -2, -1, -2, -1, 1, 1, 0, -1]
wimpiness	-1.2	0.9798	[1, -1, -3, -1, -2, -1, -1, -1, -2, -1]
wimpish	-1.6	0.4899	[-2, -1, -2, -1, -2, -2, -1, -2, -2, -1]
wimpishness	-0.2	1.249	[-3, -1, 0, -1, -1, 1, 1, 1, 1, 0]
wimple	-0.2	0.74833	[0, -1, 0, 0, 0, 0, -2, 0, 0, 1]
wimples	-0.3	0.78102	[-2, 0, 0, 0, 0, -1, 0, -1, 1, 0]
wimps	-1.0	1.18322	[-2, -2, -1, -1, 0, -2, -2, 1, -2, 1]
wimpy	-0.9	1.04403	[-2, -1, -1, -1, -1, -2, -1, 1, -2, 1]
win	2.8	0.87178	[3, 2, 4, 3, 2, 4, 3, 1, 3, 3]
winnable	1.8	0.6	[3, 2, 2, 2, 2, 1, 1, 1, 2, 2]
winned	1.8	0.6	[2, 2, 2, 2, 1, 2, 1, 1, 3, 2]
winner	2.8	0.87178	[2, 2, 2, 3, 4, 2, 3, 4, 2, 4]
winners	2.1	1.44568	[3, 3, 2, 3, 3, 2, 2, -2, 3, 2]
winning	2.4	0.4899	[2, 3, 3, 2, 2, 2, 3, 3, 2, 2]
winningly	2.3	1.48661	[1, 3, 4, 3, 3, 1, 2, 3, -1, 4]
winnings	2.5	0.92195	[3, 4, 3, 2, 2, 3, 1, 1, 3, 3]
winnow	-0.3	1.00499	[0, -1, 0, -2, 1, 1, -2, 0, 0, 0]
winnower	-0.1	0.3	[0, 0, 0, 0, 0, -1, 0, 0, 0, 0]
winnowers	-0.2	0.6	[0, 0, 0, 0, 0, 0, 0, 0, -2, 0]
winnowing	-0.1	0.53852	[0, 0, -1, 0, 0, 0, 0, 1, -1, 0]
winnows	-0.2	0.4	[0, 0, -1, -1, 0, 0, 0, 0, 0, 0]
wins	2.7	0.78102	[2, 2, 3, 3, 4, 4, 3, 2, 2, 2]
wisdom	2.4	0.66332	[2, 3, 4, 2, 3, 2, 2, 2, 2, 2]
wise	2.1	0.83066	[2, 3, 1, 4, 2, 2, 1, 2, 2, 2]
wiseacre	-1.2	1.16619	[-2, -1, -2, -2, -2, -1, -2, 1, 1, -2]
wiseacres	-0.1	0.9434	[-2, 1, 0, -1, 0, 1, 1, -1, 0, 0]
wiseass	-1.8	0.6	[-2, -2, -1, -1, -2, -2, -3, -2, -1, -2]
wiseasses	-1.5	1.36015	[-1, -2, 2, -2, -1, -3, -2, -3, -1, -2]
wisecrack	-0.1	1.22066	[-1, -1, -1, -2, 2, 1, -1, 1, 1, 0]
wisecracked	-0.5	0.92195	[1, 1, -1, -1, 0, -1, -2, 0, -1, -1]
wisecracker	-0.1	0.7	[-1, 1, -1, -1, 0, 0, 0, 0, 1, 0]
wisecrackers	0.1	1.04403	[-1, 0, 1, 1, 0, 2, 1, -1, -1, -1]
wisecracking	-0.6	0.4899	[0, 0, -1, 0, -1, 0, -1, -1, -1, -1]
wisecracks	-0.3	1.55242	[1, 2, -1, 2, -3, 0, 0, -2, -1, -1]
wised	1.5	0.67082	[2, 2, 2, 1, 1, 2, 0, 1, 2, 2]
wiseguys	0.3	1.9	[4, -1, 1, -1, 1, 2, 2, -2, -2, -1]
wiselier	0.9	1.3	[1, 2, 2, -2, 0, 1, 3, 1, 0, 1]
wiseliest	1.6	1.49666	[1, 4, 2, 2, 1, 2, 2, 3, -2, 1]
wisely	1.8	0.6	[1, 2, 3, 2, 1, 2, 2, 1, 2, 2]
wiseness	1.9	0.7	[2, 3, 2, 2, 3, 1, 1, 1, 2, 2]
wisenheimer	-1.0	1.18322	[-1, 1, -1, -1, -1, 0, -1, -3, 0, -3]
wisenheimers	-1.4	0.91652	[-3, -3, -2, -1, -1, -1, 0, -1, -1, -1]
wisents	0.4	0.91652	[0, 0, 0, 0, 1, 0, 0, 0, 3, 0]
wiser	1.2	0.87178	[1, 3, 0, 1, 1, 2, 0, 2, 1, 1]
wises	1.3	1.48661	[3, 3, 2, -2, 2, 0, 0, 2, 2, 1]
wisest	2.1	1.51327	[1, 3, 3, 3, 3, 2, 2, 3, -2, 3]
wisewomen	1.3	0.9	[2, 2, 0, 0, 2, 0, 1, 2, 2, 2]
wish	1.7	1.1	[2, 1, 1, 0, 2, 1, 3, 2, 4, 1]
wishes	0.6	0.8	[0, 0, 1, 0, 1, 0, 2, 0, 2, 0]
wishing	0.9	0.7	[2, 1, 1, 0, 0, 0, 1, 1, 2, 1]
witch	-1.5	0.80623	[-1, -2, -2, -1, -3, 0, -2, -2, -1, -1]
withdrawal	0.1	1.57797	[1, -1, 0, -2, -2, 2, -1, 1, 0, 3]
woe	-1.8	0.6	[-3, -2, -2, -2, -1, -1, -2, -1, -2, -2]
woebegone	-2.6	0.66332	[-3, -2, -3, -2, -2, -4, -3, -2, -2, -3]
woebegoneness	-1.1	1.37477	[-3, 0, -1, 1, -1, -4, 0, -1, -1, -1]
woeful	-1.9	0.83066	[-1, -2, -2, -1, -3, -3, -1, -2, -1, -3]
woefully	-1.7	1.48661	[-1, -3, -2, 1, -3, -3, -2, -2, 1, -3]
woefulness	-2.1	0.7	[-3, -2, -2, -1, -2, -3, -3, -1, -2, -2]
woes	-1.9	0.83066	[-2, -2, -2, -1, -2, -3, -3, 0, -2, -2]
woesome	-1.2	1.6	[-2, -3, -2, -1, 0, 3, -2, -2, -1, -2]
won	2.7	0.9	[3, 4, 2, 2, 2, 4, 4, 2, 2, 2]
wonderful	2.7	0.78102	[2, 3, 3, 2, 4, 2, 2, 3, 4, 2]
wonderfully	2.9	0.83066	[1, 3, 3, 4, 3, 2, 3, 3, 4, 3]
wonderfulness	2.9	0.53852	[3, 2, 3, 3, 3, 3, 3, 2, 4, 3]
woo	2.1	1.37477	[4, 2, 1, 3, 2, 2, -1, 2, 2, 4]
woohoo	2.3	1.1	[3, 3, 1, 4, 4, 2, 1, 1, 2, 2]
woot	1.8	1.07703	[2, 0, 2, 2, 2, 2, 0, 4, 2, 2]
worn	-1.2	0.4	[-1, -1, -1, -1, -1, -1, -2, -1, -2, -1]
worried	-1.2	0.74833	[-1, -1, -1, -1, -1, -2, -3, 0, -1, -1]
worriedly	-2.0	0.44721	[-2, -2, -3, -2, -2, -2, -2, -1, -2, -2]
worrier	-1.8	0.6	[-2, -2, -1, -2, -1, -3, -2, -2, -1, -2]
worriers	-1.7	0.45826	[-2, -1, -2, -2, -2, -2, -1, -2, -1, -2]
worries	-1.8	0.6	[-2, -2, -1, -2, -1, -2, -2, -3, -1, -2]
worriment	-1.5	0.67082	[-1, -2, -1, -1, -1, -2, -1, -3, -1, -2]
worriments	-1.9	0.7	[-2, -1, -2, -3, -1, -2, -3, -1, -2, -2]
worrisome	-1.7	0.64031	[-1, -1, -1, -2, -1, -2, -3, -2, -2, -2]
worrisomely	-2.0	0.63246	[-1, -2, -1, -2, -2, -3, -2, -2, -3, -2]
worrisomeness	-1.9	0.53852	[-2, -2, -3, -1, -2, -2, -2, -1, -2, -2]
worrit	-2.1	0.53852	[-2, -2, -1, -2, -2, -3, -3, -2, -2, -2]
worrits	-1.2	0.9798	[-1, -2, -2, -1, 0, 0, -1, -3, 0, -2]
worry	-1.9	0.7	[-2, -3, -1, -3, -1, -2, -1, -2, -2, -2]
worrying	-1.4	0.66332	[-2, -1, -2, -2, -1, 0, -1, -1, -2, -2]
worrywart	-1.8	0.9798	[-2, -2, -2, -1, -1, -1, -1, -3, -1, -4]
worrywarts	-1.5	0.5	[-2, -1, -2, -2, -2, -1, -1, -1, -2, -1]
worse	-2.1	0.83066	[-2, -2, -1, -3, -4, -2, -1, -2, -2, -2]
worsen	-2.3	0.78102	[-4, -3, -1, -2, -2, -2, -2, -3, -2, -2]
worsened	-1.9	1.22066	[-2, -2, -2, -1, -2, -2, -4, 1, -3, -2]
worsening	-2.0	0.44721	[-2, -3, -2, -2, -2, -2, -1, -2, -2, -2]
worsens	-2.1	0.53852	[-2, -2, -2, -2, -1, -2, -2, -3, -3, -2]
worser	-2.0	0.89443	[-2, -2, -4, -1, -2, -2, -2, -3, -1, -1]
worship	1.2	1.07703	[1, 0, 0, 1, 3, 0, 2, 3, 1, 1]
worshiped	2.4	1.0198	[1, 2, 4, 3, 4, 1, 2, 3, 2, 2]
worshiper	1.0	1.0	[0, 0, 2, 3, 0, 2, 1, 1, 1, 0]
worshipers	0.9	0.83066	[0, 0, 0, 2, 1, 1, 1, 2, 2, 0]
worshipful	0.7	1.00499	[1, -1, 3, 1, 1, 1, 0, 0, 0, 1]
worshipfully	1.1	1.3	[0, 0, 0, 1, 3, 0, 3, 3, 1, 0]
worshipfulness	1.6	0.8	[3, 1, 2, 2, 1, 1, 3, 1, 1, 1]
worshiping	1.0	1.18322	[0, 3, 0, 3, 0, 1, 1, 2, 0, 0]
worshipless	-0.6	1.0198	[0, -1, -3, -1, -1, -1, 0, 0, 0, 1]
worshipped	2.7	0.78102	[3, 2, 3, 3, 1, 4, 2, 3, 3, 3]
worshipper	0.6	0.66332	[1, 1, 0, 0, 1, 0, 0, 2, 1, 0]
worshippers	0.8	0.87178	[0, 1, 0, 0, 3, 1, 1, 1, 0, 1]
worshipping	1.6	1.28062	[1, 3, 3, 3, 0, 3, 1, 0, 2, 0]
worships	1.4	1.11355	[2, 0, 1, 3, 2, 1, 0, 3, 2, 0]
worst	-3.1	1.04403	[-4, -4, -3, -1, -3, -4, -2, -2, -4, -4]
worth	0.9	0.9434	[0, 0, 1, 1, 2, 1, 1, 3, 0, 0]
worthless	-1.9	1.13578	[-3, -1, -3, -4, -1, -3, -1, -1, -1, -1]
worthwhile	1.4	0.4899	[1, 1, 1, 2, 1, 1, 2, 1, 2, 2]
worthy	1.9	0.53852	[2, 2, 2, 1, 1, 2, 2, 2, 3, 2]
wow	2.8	0.9798	[2, 3, 2, 4, 4, 3, 3, 2, 1, 4]
wowed	2.6	0.8	[3, 3, 4, 3, 2, 1, 3, 3, 2, 2]
wowing	2.5	0.67082	[2, 2, 3, 3, 2, 3, 4, 2, 2, 2]
wows	2.0	1.61245	[2, 3, 3, 3, 2, 1, -2, 1, 4, 3]
wowser	-1.1	2.02237	[-3, 3, 0, 2, -2, -1, -3, -2, -2, -3]
wowsers	1.0	2.14476	[0, -2, 4, 2, 3, 0, 1, 2, -3, 3]
wrathful	-2.7	0.64031	[-3, -2, -2, -3, -3, -2, -4, -2, -3, -3]
wreck	-1.9	0.7	[-1, -2, -3, -3, -2, -2, -2, -1, -1, -2]
wrong	-2.1	1.04403	[-2, -2, -2, -2, -4, -4, -1, -1, -1, -2]
wronged	-1.9	0.53852	[-2, -2, -2, -2, -2, -1, -3, -2, -2, -1]
x-d	2.6	0.91652	[2, 3, 3, 4, 1, 2, 3, 4, 2, 2]
x-p	1.7	0.45826	[2, 2, 1, 2, 2, 1, 1, 2, 2, 2]
xd	2.8	0.87178	[3, 3, 4, 2, 3, 3, 1, 2, 4, 3]
xp	1.6	0.4899	[2, 2, 2, 1, 1, 1, 2, 2, 1, 2]
yay	2.4	1.0198	[1, 3, 3, 2, 2, 1, 4, 4, 2, 2]
yeah	1.2	0.6	[1, 1, 1, 2, 1, 1, 0, 2, 1, 2]
yearning	0.5	1.0247	[0, 1, 0, 1, 0, 3, 0, 1, -1, 0]
yeees	1.7	1.00499	[1, 3, 1, 2, 1, 1, 4, 2, 1, 1]
yep	1.2	0.4	[1, 1, 1, 1, 1, 1, 2, 2, 1, 1]
yes	1.7	0.78102	[1, 2, 2, 1, 1, 1, 3, 3, 1, 2]
youthful	1.3	0.45826	[1, 2, 1, 2, 1, 1, 1, 1, 2, 1]
yucky	-1.8	0.6	[-2, -1, -1, -2, -2, -1, -2, -2, -3, -2]
yummy	2.4	1.0198	[1, 2, 4, 3, 2, 2, 3, 1, 4, 2]
zealot	-1.9	1.04403	[-2, -3, -1, -2, -1, -3, -4, -1, -1, -1]
zealots	-0.8	1.83303	[-1, -2, -1, -2, -2, 1, -2, 4, -1, -2]
zealous	0.5	1.43178	[2, -1, 2, 1, 0, 0, 3, 0, -2, 0]
{:	1.8	0.9798	[1, 3, 2, 2, 1, 1, 4, 2, 1, 1]
|-0	-1.2	0.74833	[0, -2, -1, -1, -1, -1, -1, -1, -1, -3]
|-:	-0.8	0.74833	[-1, -2, 0, -1, 0, -2, -1, -1, 0, 0]
|-:>	-1.6	0.4899	[-1, -2, -2, -2, -2, -1, -1, -2, -2, -1]
|-o	-1.2	0.9798	[-1, 0, -1, -1, -1, -1, -1, -4, -1, -1]
|:	-0.5	1.68819	[2, -3, -1, 0, -1, -1, -1, -2, -1, 3]
|;-)	2.2	1.32665	[4, 1, 1, 1, 3, 2, 4, 1, 4, 1]
|=	-0.4	1.56205	[2, -2, -1, 0, -1, -1, -1, -2, -1, 3]
|^:	-1.1	0.7	[-2, 0, -1, -1, 0, -1, -1, -2, -2, -1]
|o:	-0.9	0.53852	[-1, 0, -1, -2, -1, 0, -1, -1, -1, -1]
||-:	-2.3	0.45826	[-2, -2, -2, -3, -3, -3, -2, -2, -2, -2]
}:	-2.1	0.83066	[-1, -1, -3, -2, -3, -2, -2, -1, -3, -3]
}:(	-2.0	0.63246	[-3, -1, -2, -1, -3, -2, -2, -2, -2, -2]
}:)	0.4	1.42829	[1, 1, -2, 1, 2, -2, 1, -1, 2, 1]
}:-(	-2.1	0.7	[-2, -1, -2, -2, -2, -4, -2, -2, -2, -2]
}:-)	0.3	1.61555	[1, 1, -2, 1, -1, -3, 2, 2, 1, 1]
"""

<filename>pognlp/vader_lexicon.py
"""The VADER default lexicon as a string

VADER doesn't seem to import its default lexicon in a way that PyInstaller
# can package. This is a cheap hack so we can pass it to our custom lexicon
# loader.
"""

VADER_LEXICON = """$:	-1.5	0.80623	[-1, -1, -1, -1, -3, -1, -3, -1, -2, -1]
%)	-0.4	1.0198	[-1, 0, -1, 0, 0, -2, -1, 2, -1, 0]
%-)	-1.5	1.43178	[-2, 0, -2, -2, -1, 2, -2, -3, -2, -3]
&-:	-0.4	1.42829	[-3, -1, 0, 0, -1, -1, -1, 2, -1, 2]
&:	-0.7	0.64031	[0, -1, -1, -1, 1, -1, -1, -1, -1, -1]
( '}{' )	1.6	0.66332	[1, 2, 2, 1, 1, 2, 2, 1, 3, 1]
(%	-0.9	0.9434	[0, 0, 1, -1, -1, -1, -2, -2, -1, -2]
('-:	2.2	1.16619	[4, 1, 4, 3, 1, 2, 3, 1, 2, 1]
(':	2.3	0.9	[1, 3, 3, 2, 2, 4, 2, 3, 1, 2]
((-:	2.1	0.53852	[2, 2, 2, 1, 2, 3, 2, 2, 3, 2]
(*	1.1	1.13578	[2, 1, 1, -1, 1, 2, 2, -1, 2, 2]
(-%	-0.7	1.26886	[-1, 2, 0, -1, -1, -2, 0, 0, -3, -1]
(-*	1.3	1.26886	[4, 1, 2, 0, 2, -1, 1, 2, 1, 1]
(-:	1.6	0.8	[2, 2, 1, 3, 1, 1, 1, 3, 1, 1]
(-:0	2.8	0.87178	[3, 2, 3, 4, 3, 2, 3, 1, 4, 3]
(-:<	-0.4	2.15407	[-3, 3, -1, -1, 2, -1, -2, 3, -3, -1]
(-:o	1.5	0.67082	[3, 1, 1, 2, 2, 2, 1, 1, 1, 1]
(-:O	1.5	0.67082	[3, 1, 1, 2, 2, 2, 1, 1, 1, 1]
(-:{	-0.1	1.57797	[-2, -3, 1, -2, 1, 1, 0, 0, 2, 1]
(-:|>*	1.9	0.83066	[3, 2, 2, 1, 0, 2, 3, 2, 2, 2]
(-;	1.3	1.18743	[3, 2, 3, 0, 1, -1, 1, 2, 1, 1]
(-;|	2.1	1.13578	[3, 2, 2, 4, 1, 1, 1, 4, 2, 1]
(8	2.6	1.0198	[4, 2, 1, 3, 3, 3, 3, 1, 2, 4]
(:	2.2	1.16619	[3, 1, 1, 2, 1, 2, 4, 3, 4, 1]
(:0	2.4	1.11355	[0, 2, 3, 4, 3, 2, 3, 3, 1, 3]
(:<	-0.2	2.03961	[-2, -3, 1, 1, 2, -1, 2, 1, -4, 1]
(:o	2.5	0.92195	[3, 3, 1, 3, 3, 1, 2, 2, 4, 3]
(:O	2.5	0.92195	[3, 3, 1, 3, 3, 1, 2, 2, 4, 3]
(;	1.1	1.22066	[3, 1, 1, -1, 1, 2, 2, -1, 1, 2]
(;<	0.3	1.00499	[1, 2, -1, -1, 0, 0, 1, -1, 1, 1]
(=	2.2	1.16619	[3, 1, 2, 2, 1, 1, 4, 3, 4, 1]
(?:	2.1	0.83066	[2, 2, 1, 3, 2, 2, 4, 1, 2, 2]
(^:	1.5	0.67082	[1, 2, 2, 1, 3, 2, 1, 1, 1, 1]
(^;	1.5	0.5	[1, 2, 2, 1, 2, 1, 2, 1, 1, 2]
(^;0	2.0	0.7746	[2, 2, 1, 2, 1, 4, 2, 2, 2, 2]
(^;o	1.9	0.83066	[2, 2, 1, 2, 1, 4, 2, 1, 2, 2]
(o:	1.6	0.8	[2, 1, 3, 1, 1, 1, 2, 3, 1, 1]
)':	-2.0	0.44721	[-2, -2, -2, -2, -1, -3, -2, -2, -2, -2]
)-':	-2.1	0.53852	[-2, -2, -3, -2, -1, -2, -3, -2, -2, -2]
)-:	-2.1	0.9434	[-3, -2, -4, -1, -3, -2, -2, -2, -1, -1]
)-:<	-2.2	0.4	[-2, -2, -2, -2, -2, -2, -3, -3, -2, -2]
)-:{	-2.1	0.9434	[-1, -3, -2, -1, -2, -2, -3, -4, -1, -2]
):	-1.8	0.87178	[-1, -3, -1, -2, -1, -3, -1, -3, -1, -2]
):<	-1.9	0.53852	[-1, -3, -2, -2, -2, -1, -2, -2, -2, -2]
):{	-2.3	0.78102	[-1, -2, -3, -3, -2, -2, -4, -2, -2, -2]
);<	-2.6	0.8	[-2, -2, -2, -3, -2, -3, -2, -2, -4, -4]
*)	0.6	1.42829	[1, -1, 1, -3, 1, 1, 2, 1, 1, 2]
*-)	0.3	1.61555	[1, -3, -2, 2, 1, 1, -1, 2, 1, 1]
*-:	2.1	1.51327	[2, 2, 4, 4, 2, 1, -1, 4, 1, 2]
*-;	2.4	1.62481	[2, 3, 4, 4, 2, 1, -1, 4, 1, 4]
*:	1.9	1.04403	[2, 1, 1, 3, 1, 2, 4, 3, 1, 1]
*<|:-)	1.6	1.28062	[0, 1, 3, 1, 1, 2, 3, 0, 4, 1]
*\0/*	2.3	1.00499	[2, 0, 3, 1, 3, 3, 2, 3, 3, 3]
*^:	1.6	1.42829	[2, 2, 1, 3, 2, 2, 3, 3, -1, -1]
,-:	1.2	0.4	[1, 1, 2, 1, 1, 1, 1, 1, 2, 1]
---'-;-{@	2.3	1.18743	[0, 1, 3, 4, 2, 3, 2, 2, 2, 4]
--<--<@	2.2	1.249	[0, 1, 2, 4, 2, 1, 3, 2, 3, 4]
.-:	-1.2	0.4	[-1, -1, -1, -1, -1, -1, -2, -1, -2, -1]
..###-:	-1.7	0.78102	[-2, -3, -3, -2, -1, -1, -1, -1, -1, -2]
..###:	-1.9	1.04403	[-4, -1, -3, -1, -2, -2, -1, -3, -1, -1]
/-:	-1.3	0.64031	[-1, -1, -1, -1, -1, -1, -1, -2, -3, -1]
/:	-1.3	0.45826	[-2, -1, -1, -1, -2, -1, -1, -2, -1, -1]
/:<	-1.4	0.4899	[-1, -2, -2, -1, -1, -1, -1, -1, -2, -2]
/=	-0.9	0.53852	[-1, -1, -1, 0, -1, -2, -1, -1, -1, 0]
/^:	-1.0	0.7746	[-2, -1, -2, 1, -1, -1, -1, -1, -1, -1]
/o:	-1.4	0.66332	[0, -2, -1, -1, -2, -2, -1, -2, -1, -2]
0-8	0.1	1.44568	[2, -1, -2, 0, 2, 0, 2, 0, -2, 0]
0-|	-1.2	0.4	[-2, -1, -1, -1, -1, -1, -1, -1, -2, -1]
0:)	1.9	1.04403	[2, 2, 2, 1, 0, 2, 4, 1, 3, 2]
0:-)	1.4	0.91652	[2, 1, 0, 1, 2, 3, 2, 1, 2, 0]
0:-3	1.5	0.92195	[2, 1, 0, 2, 2, 3, 2, 1, 2, 0]
0:03	1.9	1.22066	[2, 3, 2, 0, 0, 1, 4, 2, 3, 2]
0;^)	1.6	0.91652	[0, 1, 3, 1, 2, 1, 2, 1, 2, 3]
0_o	-0.3	0.78102	[0, -2, 0, 1, 0, 0, -1, 0, -1, 0]
10q	2.1	1.22066	[1, 3, 1, 2, 1, 4, 3, 4, 1, 1]
1337	2.1	1.13578	[3, 1, 4, 0, 2, 3, 1, 2, 2, 3]
143	3.2	0.74833	[4, 4, 2, 3, 2, 3, 4, 3, 4, 3]
1432	2.6	0.8	[4, 3, 3, 2, 2, 4, 2, 2, 2, 2]
14aa41	2.4	0.91652	[3, 2, 2, 4, 2, 2, 1, 2, 4, 2]
182	-2.9	1.3	[-4, 0, -3, -3, -1, -3, -4, -4, -4, -3]
187	-3.1	1.22066	[-4, 0, -4, -3, -2, -4, -3, -3, -4, -4]
2g2b4g	2.8	0.6	[4, 2, 3, 2, 3, 3, 3, 3, 2, 3]
2g2bt	-0.1	1.57797	[-1, 2, -1, 1, 0, 2, 0, -3, -2, 1]
2qt	2.1	0.83066	[3, 3, 3, 3, 2, 1, 2, 1, 2, 1]
3:(	-2.2	0.87178	[-4, -3, -2, -3, -2, -1, -1, -2, -2, -2]
3:)	0.5	1.28452	[-2, 1, -2, 1, 1, 1, 1, 2, 1, 1]
3:-(	-2.3	0.78102	[-2, -3, -2, -2, -2, -2, -4, -1, -3, -2]
3:-)	-1.4	1.35647	[-1, -2, 1, 1, -2, -2, -3, -1, -3, -2]
4col	-2.2	1.16619	[-2, -3, -1, -3, -4, -1, -2, -1, -4, -1]
4q	-3.1	1.51327	[-3, -3, -4, -2, -4, -4, -4, 1, -4, -4]
5fs	1.5	1.11803	[1, 2, 1, 1, 2, 3, 2, 3, -1, 1]
8)	1.9	0.7	[2, 2, 2, 1, 1, 2, 2, 3, 3, 1]
8-d	1.7	0.64031	[1, 2, 0, 2, 2, 2, 2, 2, 2, 2]
8-o	-0.3	0.78102	[1, -1, 0, 0, 0, -1, 0, -2, 0, 0]
86	-1.6	1.0198	[-1, -1, -1, -1, -1, -4, -1, -2, -1, -3]
8d	2.9	0.53852	[3, 3, 4, 2, 3, 3, 3, 3, 2, 3]
:###..	-2.4	0.91652	[-3, -2, -4, -3, -1, -2, -2, -3, -1, -3]
:$	-0.2	1.83303	[-2, -1, 0, 0, -1, 1, 4, -3, 1, -1]
:&	-0.6	1.0198	[-2, -1, 0, 0, -1, -1, 1, -2, 1, -1]
:'(	-2.2	0.74833	[-2, -1, -2, -2, -2, -2, -4, -3, -2, -2]
:')	2.3	0.78102	[3, 1, 3, 2, 2, 2, 2, 4, 2, 2]
:'-(	-2.4	0.66332	[-2, -1, -2, -3, -2, -3, -3, -3, -2, -3]
:'-)	2.7	0.64031	[2, 1, 3, 3, 3, 3, 3, 3, 3, 3]
:(	-1.9	1.13578	[-2, -3, -2, 0, -1, -1, -2, -3, -1, -4]
:)	2.0	1.18322	[2, 2, 1, 1, 1, 1, 4, 3, 4, 1]
:*	2.5	1.0247	[3, 2, 1, 1, 2, 3, 4, 3, 4, 2]
:-###..	-2.5	0.92195	[-3, -2, -3, -2, -4, -3, -1, -3, -1, -3]
:-&	-0.5	0.92195	[-1, -1, 0, -1, -1, -1, -1, 0, 2, -1]
:-(	-1.5	0.5	[-2, -1, -1, -1, -2, -2, -2, -1, -2, -1]
:-)	1.3	0.45826	[1, 1, 1, 1, 2, 1, 2, 1, 2, 1]
:-))	2.8	1.07703	[3, 4, 4, 1, 2, 2, 4, 2, 4, 2]
:-*	1.7	0.64031	[1, 2, 1, 1, 1, 3, 2, 2, 2, 2]
:-,	1.1	0.53852	[1, 1, 1, 0, 1, 1, 1, 1, 2, 2]
:-.	-0.9	0.53852	[-1, -1, 0, -1, 0, -1, -1, -1, -2, -1]
:-/	-1.2	0.6	[0, -1, -1, -1, -1, -2, -2, -1, -1, -2]
:-<	-1.5	0.5	[-2, -1, -1, -2, -1, -2, -2, -1, -2, -1]
:-d	2.3	0.45826	[2, 2, 3, 3, 2, 3, 2, 2, 2, 2]
:-D	2.3	0.45826	[2, 2, 3, 3, 2, 3, 2, 2, 2, 2]
:-o	0.1	1.3	[2, -1, -2, 0, 1, 1, 2, 0, -1, -1]
:-p	1.2	0.4	[1, 2, 1, 1, 1, 1, 2, 1, 1, 1]
:-[	-1.6	0.4899	[-1, -2, -1, -2, -2, -1, -2, -1, -2, -2]
:-\	-0.9	0.3	[-1, -1, -1, -1, -1, -1, -1, 0, -1, -1]
:-c	-1.3	0.45826	[-1, -1, -1, -2, -2, -1, -2, -1, -1, -1]
:-p	1.5	0.5	[1, 1, 1, 1, 1, 2, 2, 2, 2, 2]
:-|	-0.7	0.64031	[-1, -1, 0, 0, 0, -1, -1, -2, 0, -1]
:-||	-2.5	0.67082	[-2, -2, -2, -3, -2, -3, -3, -2, -2, -4]
:-Þ	0.9	1.04403	[1, -1, 1, 2, 1, -1, 1, 2, 2, 1]
:/	-1.4	0.66332	[-1, -1, -1, -1, -1, -1, -3, -2, -2, -1]
:3	2.3	1.26886	[4, 1, 1, 1, 2, 2, 4, 3, 4, 1]
:<	-2.1	0.7	[-3, -1, -2, -2, -2, -2, -3, -3, -2, -1]
:>	2.1	1.22066	[3, 1, 1, 1, 1, 2, 4, 3, 4, 1]
:?)	1.3	0.64031	[3, 1, 1, 1, 1, 2, 1, 1, 1, 1]
:?c	-1.6	0.4899	[-1, -2, -1, -1, -2, -2, -1, -2, -2, -2]
:@	-2.5	0.80623	[-1, -3, -3, -2, -1, -3, -3, -3, -3, -3]
:d	2.3	1.1	[4, 2, 2, 1, 2, 1, 4, 3, 3, 1]
:D	2.3	1.1	[4, 2, 2, 1, 2, 1, 4, 3, 3, 1]
:l	-1.7	0.9	[-1, -3, -1, -1, -1, -3, -2, -3, -1, -1]
:o	-0.4	1.35647	[2, -1, -2, 0, 1, 0, -3, 0, -1, 0]
:p	1.0	0.7746	[-1, 1, 1, 1, 1, 1, 2, 1, 2, 1]
:s	-1.2	0.9798	[-2, -2, -1, -1, -1, 1, -3, -1, -1, -1]
:[	-2.0	0.63246	[-2, -2, -1, -2, -2, -3, -3, -2, -1, -2]
:\	-1.3	0.45826	[-2, -1, -1, -1, -1, -1, -2, -1, -1, -2]
:]	2.2	1.16619	[3, 1, 1, 1, 3, 1, 4, 2, 2, 4]
:^)	2.1	1.13578	[3, 2, 4, 1, 1, 1, 1, 2, 4, 2]
:^*	2.6	0.91652	[2, 1, 2, 3, 4, 4, 3, 2, 3, 2]
:^/	-1.2	0.6	[-2, -1, -2, 0, -1, -1, -1, -1, -2, -1]
:^\	-1.0	0.44721	[-1, -1, -1, -1, -1, -2, 0, -1, -1, -1]
:^|	-1.0	0.0	[-1, -1, -1, -1, -1, -1, -1, -1, -1, -1]
:c	-2.1	0.83066	[-3, -2, -1, -2, -2, -1, -3, -3, -3, -1]
:c)	2.0	1.18322	[2, 1, 1, 1, 1, 2, 3, 4, 4, 1]
:o)	2.1	0.9434	[1, 3, 3, 1, 1, 3, 2, 3, 1, 3]
:o/	-1.4	0.4899	[-1, -1, -1, -2, -1, -1, -2, -2, -1, -2]
:o\	-1.1	0.3	[-1, -1, -1, -2, -1, -1, -1, -1, -1, -1]
:o|	-0.6	1.0198	[0, 0, 0, 0, -1, 0, 0, -3, 0, -2]
:P	1.4	0.8	[3, 1, 0, 2, 1, 1, 2, 2, 1, 1]
:{	-1.9	0.83066	[-2, -1, -1, -2, -2, -1, -3, -3, -3, -1]
:|	-0.4	1.11355	[-1, -1, 0, -1, -1, -1, 1, -2, 2, 0]
:}	2.1	1.22066	[3, 1, 1, 1, 2, 1, 4, 3, 4, 1]
:Þ	1.1	0.53852	[1, 1, 1, 1, 0, 1, 1, 2, 2, 1]
;)	0.9	1.04403	[2, -1, 1, 1, 1, 1, -1, 2, 2, 1]
;-)	1.0	1.73205	[1, -2, 1, -2, 1, 4, 2, 1, 2, 2]
;-*	2.2	0.74833	[2, 2, 1, 3, 4, 2, 2, 2, 2, 2]
;-]	0.7	1.67631	[1, -2, 1, -3, 1, 2, 2, 1, 2, 2]
;d	0.8	1.249	[2, -1, 2, 1, 1, 1, -2, 2, 1, 1]
;D	0.8	1.249	[2, -1, 2, 1, 1, 1, -2, 2, 1, 1]
;]	0.6	1.11355	[1, -1, 1, 1, 1, 1, -2, 2, 1, 1]
;^)	1.4	0.91652	[2, 2, 1, 2, 1, 2, -1, 1, 2, 2]
</3	-3.0	1.0	[-3, -3, -4, -3, -4, -1, -2, -2, -4, -4]
<3	1.9	1.13578	[3, 2, 1, 3, 1, 4, 2, 0, 1, 2]
<:	2.1	1.13578	[3, 2, 4, 1, 1, 1, 1, 2, 4, 2]
<:-|	-1.4	0.66332	[-1, -1, -1, -2, -2, -1, -3, -1, -1, -1]
=)	2.2	1.16619	[4, 2, 3, 3, 2, 1, 1, 4, 1, 1]
=-3	2.0	0.63246	[2, 2, 2, 3, 1, 3, 1, 2, 2, 2]
=-d	2.4	0.91652	[2, 2, 1, 3, 2, 4, 2, 4, 2, 2]
=-D	2.4	0.91652	[2, 2, 1, 3, 2, 4, 2, 4, 2, 2]
=/	-1.4	0.91652	[-1, -1, -1, -1, -1, -2, -1, -1, -4, -1]
=3	2.1	0.7	[3, 1, 2, 1, 2, 3, 2, 2, 3, 2]
=d	2.3	0.45826	[3, 2, 2, 2, 2, 3, 2, 2, 2, 3]
=D	2.3	0.45826	[3, 2, 2, 2, 2, 3, 2, 2, 2, 3]
=l	-1.2	0.6	[-2, -1, -1, 0, -2, -1, -2, -1, -1, -1]
=\	-1.2	0.6	[-2, -1, -1, 0, -2, -1, -2, -1, -1, -1]
=]	1.6	0.8	[2, 1, 3, 1, 1, 1, 2, 3, 1, 1]
=p	1.3	0.9	[2, 1, 2, 1, 2, -1, 1, 2, 2, 1]
=|	-0.8	0.87178	[-2, -1, -2, 1, 0, -1, 0, -1, -1, -1]
>-:	-2.0	0.89443	[-2, -3, -2, -4, -1, -1, -1, -2, -2, -2]
>.<	-1.3	0.45826	[-1, -2, -1, -2, -2, -1, -1, -1, -1, -1]
>:	-2.1	1.13578	[-4, -1, -1, -4, -2, -3, -1, -1, -2, -2]
>:(	-2.7	0.64031	[-2, -3, -2, -3, -3, -2, -4, -2, -3, -3]
>:)	0.4	1.42829	[1, 1, 2, 1, -1, -2, 1, 2, -2, 1]
>:-(	-2.7	0.78102	[-3, -2, -3, -2, -4, -2, -3, -2, -2, -4]
>:-)	-0.4	1.68523	[1, 2, 1, -2, -2, -1, -1, -3, -1, 2]
>:/	-1.6	0.8	[-1, -2, -1, -3, -1, -1, -1, -1, -2, -3]
>:o	-1.2	1.16619	[-3, -1, -2, 0, -2, -2, 0, -1, 1, -2]
>:p	1.0	0.7746	[-1, 1, 1, 2, 1, 2, 1, 1, 1, 1]
>:[	-2.1	0.53852	[-2, -2, -2, -2, -3, -3, -2, -1, -2, -2]
>:\	-1.7	0.64031	[-1, -2, -1, -2, -2, -3, -1, -1, -2, -2]
>;(	-2.9	0.7	[-3, -4, -3, -2, -2, -3, -3, -3, -2, -4]
>;)	0.1	1.04403	[-1, 1, 0, -1, 2, 0, -1, 1, 1, -1]
>_>^	2.1	0.9434	[2, 2, 1, 4, 3, 2, 1, 3, 1, 2]
@:	-2.1	0.9434	[-3, -2, -3, -1, -2, -4, -1, -2, -1, -2]
@>-->--	2.1	1.22066	[1, 1, 0, 2, 4, 2, 4, 2, 3, 2]
@}-;-'---	2.2	1.32665	[0, 1, 3, 2, 1, 4, 4, 1, 3, 3]
aas	2.5	0.80623	[2, 3, 3, 4, 1, 2, 3, 2, 2, 3]
aayf	2.7	0.78102	[2, 3, 2, 4, 3, 2, 2, 3, 4, 2]
afu	-2.9	0.83066	[-3, -3, -3, -3, -3, -1, -4, -4, -2, -3]
alol	2.8	0.74833	[2, 2, 2, 3, 3, 2, 3, 4, 4, 3]
ambw	2.9	0.7	[2, 3, 4, 2, 3, 2, 3, 3, 4, 3]
aml	3.4	0.66332	[4, 3, 2, 4, 3, 3, 4, 4, 3, 4]
atab	-1.9	1.22066	[-2, 0, -1, -2, -1, -1, -2, -4, -4, -2]
awol	-1.3	0.78102	[0, -1, -1, -1, -1, -1, -2, -2, -3, -1]
ayc	0.2	0.9798	[0, 1, -1, 1, 0, 1, 0, -1, 2, -1]
ayor	-1.2	0.6	[-1, -1, -2, -2, -1, -1, -1, 0, -2, -1]
aug-00	0.3	1.18743	[2, 0, -2, 0, 0, 1, -1, 2, 1, 0]
bfd	-2.7	0.78102	[-3, -2, -4, -2, -3, -2, -3, -2, -4, -2]
bfe	-2.6	1.35647	[-3, -3, -4, -2, -3, -2, 1, -3, -4, -3]
bff	2.9	0.83066	[3, 3, 4, 2, 4, 2, 2, 3, 4, 2]
bffn	1.0	0.89443	[2, 1, -1, 1, 0, 1, 2, 1, 2, 1]
bl	2.3	1.1	[2, 1, 4, 1, 2, 2, 4, 3, 1, 3]
bsod	-2.2	1.07703	[-1, -4, -3, -3, 0, -2, -3, -2, -2, -2]
btd	-2.1	0.83066	[-1, -2, -3, -3, -3, -1, -3, -2, -1, -2]
btdt	-0.1	1.22066	[0, -1, 0, -1, 0, 3, 1, -1, -1, -1]
bz	0.4	1.35647	[-1, 0, 0, 0, 4, 1, -1, 1, 0, 0]
b^d	2.6	0.8	[3, 2, 2, 4, 3, 1, 3, 3, 3, 2]
cwot	-2.3	0.45826	[-3, -2, -2, -2, -2, -3, -2, -3, -2, -2]
d-':	-2.5	0.67082	[-3, -3, -2, -2, -2, -4, -2, -3, -2, -2]
d8	-3.2	0.6	[-3, -3, -3, -3, -4, -4, -2, -3, -3, -4]
d:	-2.9	0.83066	[-3, -3, -3, -3, -2, -4, -1, -3, -3, -4]
d:<	-3.2	0.9798	[-4, -4, -4, -1, -3, -3, -4, -2, -3, -4]
d;	-2.9	0.83066	[-1, -3, -3, -3, -3, -4, -2, -3, -3, -4]
d=	-3.0	0.89443	[-4, -3, -3, -3, -2, -4, -1, -3, -3, -4]
doa	-2.3	1.00499	[-2, -3, -3, -2, -2, -2, -4, 0, -2, -3]
dx	-3.0	0.63246	[-3, -2, -3, -3, -4, -3, -4, -2, -3, -3]
ez	1.5	0.67082	[3, 2, 2, 1, 1, 1, 2, 1, 1, 1]
fav	2.4	0.91652	[3, 1, 3, 2, 2, 3, 1, 2, 3, 4]
fcol	-1.8	0.74833	[-2, -2, -1, -2, -1, -2, -1, -3, -3, -1]
ff	1.8	1.249	[4, 2, 1, 2, 1, 3, 3, 0, 2, 0]
ffs	-2.8	0.9798	[-2, -2, -3, -3, -2, -4, -4, -4, -1, -3]
fkm	-2.4	1.35647	[-4, -1, -4, -2, -2, -3, -1, 0, -3, -4]
foaf	1.8	1.249	[2, 1, 2, 0, 4, 1, 1, 1, 2, 4]
ftw	2.0	0.7746	[2, 1, 1, 2, 2, 2, 3, 3, 1, 3]
fu	-3.7	0.45826	[-3, -4, -4, -3, -3, -4, -4, -4, -4, -4]
fubar	-3.0	1.09545	[-4, -3, -3, -4, -3, -3, -3, -4, 0, -3]
fwb	2.5	1.43178	[2, 3, 4, 0, 1, 2, 4, 1, 4, 4]
fyi	0.8	1.66132	[0, 1, 0, -1, 0, 0, 4, 4, 0, 0]
fysa	0.4	0.91652	[0, 0, 0, 1, 0, 3, 0, 0, 0, 0]
g1	1.4	0.4899	[2, 1, 1, 1, 2, 1, 2, 1, 1, 2]
gg	1.2	0.74833	[0, 2, 2, 1, 0, 1, 2, 2, 1, 1]
gga	1.7	0.45826	[2, 2, 1, 2, 2, 1, 2, 2, 1, 2]
gigo	-0.6	1.11355	[-2, -1, 1, 0, 0, 0, -1, -2, -2, 1]
gj	2.0	1.0	[2, 1, 2, 1, 1, 3, 4, 2, 3, 1]
gl	1.3	0.64031	[1, 1, 1, 1, 3, 1, 1, 2, 1, 1]
gla	2.5	0.92195	[1, 2, 2, 4, 2, 4, 2, 3, 3, 2]
gn	1.2	0.74833	[1, 1, 1, 1, 3, 1, 1, 2, 1, 0]
gr8	2.7	0.78102	[1, 3, 3, 4, 3, 2, 3, 2, 3, 3]
grrr	-0.4	1.42829	[-2, -1, 0, 1, -2, -1, -1, 3, 0, -1]
gt	1.1	0.53852	[1, 1, 1, 1, 1, 1, 2, 1, 0, 2]
h&k	2.3	0.78102	[2, 2, 2, 3, 4, 2, 3, 2, 1, 2]
hagd	2.2	0.87178	[2, 2, 3, 2, 1, 3, 4, 1, 2, 2]
hagn	2.2	0.87178	[2, 2, 3, 2, 1, 3, 4, 1, 2, 2]
hago	1.2	0.4	[1, 2, 1, 1, 1, 2, 1, 1, 1, 1]
hak	1.9	0.7	[3, 1, 2, 2, 1, 2, 3, 2, 1, 2]
hand	2.2	0.87178	[2, 2, 1, 3, 2, 3, 4, 1, 2, 2]
heart	3.2	0.63246	[3, 3, 4, 3, 4, 2, 3, 4, 3, 3]
hearts	3.3	0.48305	[4, 3, 3, 3, 4, 3, 3, 3, 4, 3]
hho1/2k	1.4	1.11355	[1, -1, 2, 3, 1, 1, 1, 2, 3, 1]
hhoj	2.0	1.09545	[4, 2, 1, 1, 2, 1, 1, 4, 2, 2]
hhok	0.9	0.9434	[1, 2, 1, 0, -1, 0, 2, 1, 1, 2]
hugz	2.0	0.7746	[2, 3, 1, 3, 1, 3, 1, 2, 2, 2]
hi5	1.9	0.53852	[2, 2, 2, 1, 3, 2, 1, 2, 2, 2]
idk	-0.4	0.66332	[0, 0, 0, 0, -1, -2, 0, 0, 0, -1]
ijs	0.7	1.84662	[0, -1, 0, -1, 0, 4, 0, 4, -1, 2]
ilu	3.4	0.66332	[3, 4, 3, 4, 2, 3, 4, 3, 4, 4]
iluaaf	2.7	1.1	[3, 3, 3, 2, 3, 0, 4, 3, 2, 4]
ily	3.4	0.66332	[3, 4, 3, 4, 2, 3, 4, 3, 4, 4]
ily2	2.6	0.66332	[3, 2, 3, 2, 3, 2, 3, 4, 2, 2]
iou	0.7	1.34536	[0, 0, -1, 2, 0, 0, 0, 4, 1, 1]
iyq	2.3	1.18743	[3, 3, 1, 1, 2, 1, 4, 4, 3, 1]
j/j	2.0	1.34164	[4, 1, 1, 1, 1, 4, 4, 1, 2, 1]
j/k	1.6	1.2	[1, 2, 1, 3, 0, 0, 2, 2, 1, 4]
j/p	1.4	0.66332	[1, 1, 0, 2, 1, 2, 2, 2, 1, 2]
j/t	-0.2	1.46969	[1, -1, -1, -2, 1, 1, 2, -2, 1, -2]
j/w	1.0	1.0	[1, 1, 1, 3, 0, 0, 0, 2, 0, 2]
j4f	1.4	0.8	[2, 1, 1, 0, 3, 1, 1, 1, 2, 2]
j4g	1.7	1.18743	[1, 4, 1, 1, 3, 1, 3, 0, 2, 1]
jho	0.8	0.4	[1, 1, 1, 1, 0, 1, 1, 1, 0, 1]
jhomf	1.0	0.63246	[1, 1, 1, 0, 1, 0, 2, 2, 1, 1]
jj	1.0	0.63246	[1, 1, 1, 1, 2, 0, 2, 1, 1, 0]
jk	0.9	1.22066	[1, 0, 0, 1, 0, 0, 2, 1, 4, 0]
jp	0.8	0.74833	[1, 1, 1, 0, 2, 0, 2, 0, 1, 0]
jt	0.9	0.83066	[1, 1, 0, 2, 2, 0, 2, 0, 1, 0]
jw	1.6	1.68523	[3, 0, 0, 0, 0, 0, 3, 4, 2, 4]
jealz	-1.2	0.9798	[-1, -1, -1, 1, -2, -2, -1, -3, -1, -1]
k4y	2.3	1.00499	[2, 1, 1, 2, 4, 2, 3, 4, 2, 2]
kfy	2.3	0.64031	[2, 2, 2, 1, 3, 2, 3, 3, 2, 3]
kia	-3.2	0.6	[-3, -3, -3, -4, -3, -2, -3, -3, -4, -4]
kk	1.5	1.0247	[2, 1, 0, 0, 1, 2, 3, 3, 2, 1]
kmuf	2.2	1.4	[2, 2, 2, 3, 4, 3, -1, 1, 4, 2]
l	2.0	0.7746	[2, 1, 2, 3, 2, 3, 1, 3, 2, 1]
l&r	2.2	0.74833	[3, 2, 2, 3, 1, 3, 1, 3, 2, 2]
laoj	1.3	1.73494	[1, -2, -1, 3, 3, 2, 4, 1, 1, 1]
lmao	2.0	1.18322	[3, 0, 3, 0, 3, 1, 3, 2, 3, 2]
lmbao	1.8	1.77764	[3, 2, 2, 2, 1, 3, -3, 2, 4, 2]
lmfao	2.5	1.28452	[3, 2, 3, 3, 3, -1, 4, 2, 3, 2]
lmso	2.7	0.78102	[3, 3, 4, 3, 3, 1, 3, 3, 2, 2]
lol	2.9	0.83066	[4, 2, 2, 2, 4, 2, 3, 3, 4, 3]
lolz	2.7	0.78102	[2, 3, 3, 2, 2, 4, 4, 3, 2, 2]
lts	1.6	0.66332	[1, 1, 2, 2, 1, 3, 1, 1, 2, 2]
ly	2.6	0.91652	[2, 2, 1, 3, 4, 4, 3, 2, 2, 3]
ly4e	2.7	0.78102	[3, 3, 3, 2, 1, 3, 3, 4, 2, 3]
lya	3.3	0.78102	[3, 4, 4, 4, 2, 2, 3, 4, 3, 4]
lyb	3.0	0.63246	[3, 3, 4, 3, 2, 3, 2, 4, 3, 3]
lyl	3.1	0.7	[4, 3, 4, 3, 2, 3, 3, 2, 4, 3]
lylab	2.7	0.78102	[3, 3, 3, 1, 3, 4, 2, 2, 3, 3]
lylas	2.6	0.8	[3, 3, 3, 1, 3, 4, 2, 2, 2, 3]
lylb	1.6	1.56205	[2, 2, 3, -2, 4, 1, 3, 1, 1, 1]
m8	1.4	1.0198	[3, 0, 1, 0, 1, 3, 2, 2, 1, 1]
mia	-1.2	0.4	[-2, -1, -1, -2, -1, -1, -1, -1, -1, -1]
mml	2.0	1.0	[1, 1, 2, 3, 3, 2, 1, 2, 4, 1]
mofo	-2.4	2.2	[-4, -4, -4, 0, -3, -2, -2, -4, 3, -4]
muah	2.8	1.07703	[1, 2, 4, 4, 4, 2, 4, 2, 2, 3]
mubar	-1.0	2.36643	[-4, -2, -3, -2, -2, -2, 1, 4, 2, -2]
musm	0.9	2.07123	[-1, 1, 1, 1, 4, 3, 1, -4, 1, 2]
mwah	2.5	0.80623	[2, 2, 2, 4, 2, 3, 2, 2, 4, 2]
n1	1.9	1.04403	[1, 1, 3, 2, 2, 3, 4, 1, 1, 1]
nbd	1.3	1.34536	[2, 1, 0, 0, 0, 4, 2, 0, 3, 1]
nbif	-0.5	0.67082	[-1, -2, 0, 0, 0, 0, -1, -1, 0, 0]
nfc	-2.7	0.9	[-3, -2, -2, -3, -1, -2, -4, -3, -4, -3]
nfw	-2.4	1.0198	[-2, -2, -1, -3, -1, -2, -4, -3, -4, -2]
nh	2.2	0.6	[2, 2, 2, 2, 1, 3, 3, 3, 2, 2]
nimby	-0.8	0.6	[0, 0, -1, 0, -1, -2, -1, -1, -1, -1]
nimjd	-0.7	0.78102	[0, -2, -1, -2, 0, -1, 0, 0, 0, -1]
nimq	-0.2	0.6	[0, 0, 0, 0, 0, 0, 0, 0, -2, 0]
nimy	-1.4	1.68523	[-1, -2, -3, -2, -1, 2, -3, 0, 0, -4]
nitl	-1.5	0.92195	[-1, -1, -2, -3, -1, -3, -1, -2, 0, -1]
nme	-2.1	1.13578	[-1, -2, -2, -1, -4, -2, -3, -3, 0, -3]
noyb	-0.7	1.67631	[-1, -2, 0, -1, -1, -2, -2, -1, 4, -1]
np	1.4	1.0198	[0, 1, 1, 1, 1, 2, 2, 4, 1, 1]
ntmu	1.4	0.66332	[1, 1, 0, 1, 2, 2, 2, 2, 2, 1]
o-8	-0.5	1.5	[2, -1, 0, 0, -2, -2, 0, -2, 2, -2]
o-:	-0.3	1.18743	[2, -1, 0, 0, -1, -2, 0, -2, 1, 0]
o-|	-1.1	0.53852	[-1, -1, -1, 0, -1, -1, -1, -2, -2, -1]
o.o	-0.6	0.8	[-1, -1, -2, 0, 1, 0, -1, 0, -1, -1]
O.o	-0.6	0.8	[-1, -1, -2, 0, 1, 0, -1, 0, -1, -1]
o.O	-0.6	0.8	[-1, -1, -2, 0, 1, 0, -1, 0, -1, -1]
o:	-0.2	0.87178	[-1, 0, -1, -2, 0, 1, 0, 1, 0, 0]
o:)	1.5	0.67082	[3, 1, 1, 2, 2, 2, 1, 1, 1, 1]
o:-)	2.0	1.18322	[1, 4, 1, 2, 4, 1, 1, 2, 3, 1]
o:-3	2.2	0.9798	[1, 4, 2, 3, 3, 2, 1, 2, 3, 1]
o:3	2.3	0.78102	[3, 3, 2, 2, 1, 2, 4, 2, 2, 2]
o:<	-0.3	1.1	[-1, -1, -2, 0, -1, 0, 1, 2, 0, -1]
o;^)	1.6	0.8	[1, 2, 1, 2, 1, 2, 2, 0, 3, 2]
ok	1.6	1.42829	[0, 0, 1, 1, 1, 4, 3, 4, 1, 1]
o_o	-0.5	0.92195	[0, -1, 0, -2, -2, 0, -1, 1, 0, 0]
O_o	-0.5	0.92195	[0, -1, 0, -2, -2, 0, -1, 1, 0, 0]
o_O	-0.5	0.92195	[0, -1, 0, -2, -2, 0, -1, 1, 0, 0]
pita	-2.4	1.2	[-2, -1, -1, -4, -4, -2, -4, -2, -3, -1]
pls	0.3	0.45826	[0, 1, 1, 1, 0, 0, 0, 0, 0, 0]
plz	0.3	0.45826	[0, 1, 1, 1, 0, 0, 0, 0, 0, 0]
pmbi	0.8	1.32665	[3, 0, 0, 1, 1, -2, 2, 2, 0, 1]
pmfji	0.3	0.78102	[0, 0, 1, 0, 2, -1, 0, 1, 0, 0]
pmji	0.7	1.00499	[1, 2, 0, -1, 0, 0, 2, 2, 1, 0]
po	-2.6	0.91652	[-2, -3, -4, -3, -3, -3, -1, -3, -1, -3]
ptl	2.6	1.11355	[3, 4, 2, 4, 1, 2, 3, 1, 4, 2]
pu	-1.1	1.3	[-3, -1, -3, -2, -1, -1, -1, -1, 1, 1]
qq	-2.2	0.6	[-2, -2, -1, -3, -3, -2, -2, -3, -2, -2]
qt	1.8	0.6	[2, 2, 1, 2, 1, 3, 2, 1, 2, 2]
r&r	2.4	1.0198	[2, 4, 2, 3, 1, 4, 2, 2, 1, 3]
rofl	2.7	0.78102	[3, 2, 2, 2, 4, 4, 2, 3, 3, 2]
roflmao	2.5	1.11803	[4, 2, 2, 4, 1, 1, 2, 4, 3, 2]
rotfl	2.6	0.66332	[3, 2, 3, 3, 1, 3, 3, 3, 2, 3]
rotflmao	2.8	1.07703	[4, 3, 2, 4, 1, 1, 4, 3, 3, 3]
rotflmfao	2.5	1.11803	[3, 4, 1, 3, 3, 3, 0, 3, 2, 3]
rotflol	3.0	1.09545	[1, 4, 4, 4, 2, 2, 2, 3, 4, 4]
rotgl	2.9	0.7	[4, 3, 2, 2, 3, 3, 3, 2, 4, 3]
rotglmao	1.8	2.4	[3, 3, 4, 3, -1, 1, 4, -4, 2, 3]
s:	-1.1	0.83066	[-1, -1, -2, -2, -1, -1, -2, -1, 1, -1]
sapfu	-1.1	1.57797	[-2, 0, -3, -1, -1, 1, -2, 2, -2, -3]
sete	2.8	0.87178	[3, 3, 3, 2, 3, 3, 4, 4, 1, 2]
sfete	2.7	0.78102	[4, 3, 3, 3, 2, 4, 2, 2, 2, 2]
sgtm	2.4	1.0198	[2, 1, 1, 2, 3, 3, 2, 2, 4, 4]
slap	0.6	2.15407	[2, -1, 1, -1, 0, 4, -3, 4, 1, -1]
slaw	2.1	1.04403	[3, 2, 0, 2, 2, 2, 3, 1, 4, 2]
smh	-1.3	0.64031	[-2, -1, 0, -1, -1, -2, -2, -1, -2, -1]
snafu	-2.5	1.11803	[-3, -4, -3, -3, -1, 0, -2, -3, -3, -3]
sob	-2.8	0.9798	[-3, -4, -3, -2, -2, -1, -2, -4, -4, -3]
swak	2.3	1.00499	[2, 2, 2, 1, 4, 2, 3, 2, 1, 4]
tgif	2.3	1.34536	[1, 3, 3, 3, -1, 2, 4, 2, 3, 3]
thks	1.4	0.4899	[1, 2, 1, 2, 1, 2, 1, 1, 2, 1]
thx	1.5	0.92195	[0, 1, 3, 2, 1, 2, 1, 1, 3, 1]
tia	2.3	0.9	[3, 1, 2, 1, 4, 3, 2, 3, 2, 2]
tmi	-0.3	1.61555	[-1, -1, 2, -1, 1, -2, -2, -1, 3, -1]
tnx	1.1	0.53852	[2, 1, 1, 0, 1, 1, 2, 1, 1, 1]
true	1.8	1.32665	[2, 1, 1, 0, 1, 4, 3, 1, 4, 1]
tx	1.5	0.92195	[3, 2, 1, 0, 2, 1, 3, 1, 1, 1]
txs	1.1	0.7	[1, 2, 0, 1, 2, 0, 1, 2, 1, 1]
ty	1.6	0.66332	[1, 2, 3, 1, 2, 2, 1, 2, 1, 1]
tyvm	2.5	1.11803	[2, 2, 1, 3, 1, 4, 2, 4, 2, 4]
urw	1.9	1.13578	[1, 2, 1, 2, 4, 2, 4, 1, 1, 1]
vbg	2.1	1.75784	[2, 3, 3, 3, 3, -3, 3, 2, 2, 3]
vbs	3.1	0.53852	[2, 3, 3, 3, 4, 4, 3, 3, 3, 3]
vip	2.3	1.00499	[2, 1, 1, 3, 4, 2, 2, 4, 2, 2]
vwd	2.6	0.91652	[4, 2, 4, 2, 1, 3, 3, 2, 3, 2]
vwp	2.1	0.7	[3, 1, 2, 2, 3, 2, 2, 3, 1, 2]
wag	-0.2	0.74833	[-1, 0, 0, 0, 0, 0, -2, 1, 0, 0]
wd	2.7	1.1	[3, 1, 4, 3, 4, 2, 1, 3, 2, 4]
wilco	0.9	0.9434	[1, 3, 1, 0, 1, 0, 2, 1, 0, 0]
wp	1.0	0.0	[1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
wtf	-2.8	0.74833	[-4, -3, -2, -3, -2, -2, -2, -4, -3, -3]
wtg	2.1	0.7	[1, 3, 2, 3, 2, 2, 2, 1, 2, 3]
wth	-2.4	0.4899	[-2, -3, -2, -3, -2, -2, -2, -3, -3, -2]
x-d	2.7	0.78102	[1, 3, 4, 2, 3, 3, 3, 2, 3, 3]
x-p	1.8	0.87178	[2, 1, 3, 1, 3, 1, 3, 1, 2, 1]
xd	2.7	0.9	[1, 4, 4, 3, 2, 2, 3, 3, 2, 3]
xlnt	3.0	0.89443	[4, 3, 3, 1, 4, 4, 3, 3, 3, 2]
xoxo	3.0	0.7746	[2, 2, 4, 2, 3, 3, 4, 3, 3, 4]
xoxozzz	2.3	0.78102	[3, 1, 2, 2, 2, 2, 3, 2, 4, 2]
xp	1.2	0.4	[1, 1, 1, 1, 2, 1, 2, 1, 1, 1]
xqzt	1.6	1.42829	[0, 2, 1, 2, 4, -1, 3, 1, 1, 3]
xtc	0.8	1.93907	[2, 0, -3, 3, 3, -1, 3, 1, -1, 1]
yolo	1.1	0.83066	[0, 1, 1, 2, 1, 1, 1, 3, 0, 1]
yoyo	0.4	1.85472	[-1, 0, -1, -1, 4, 2, -2, 2, 2, -1]
yvw	1.6	0.4899	[1, 2, 1, 1, 2, 2, 2, 1, 2, 2]
yw	1.8	1.32665	[1, 1, 1, 4, 1, 1, 4, 0, 3, 2]
ywia	2.5	1.11803	[3, 2, 3, 4, 1, 1, 1, 3, 3, 4]
zzz	-1.2	0.87178	[0, -1, 0, -1, -3, -1, -1, -2, -2, -1]
[-;	0.5	1.28452	[1, -1, -1, 1, 1, 1, 2, -2, 2, 1]
[:	1.3	0.45826	[1, 1, 2, 1, 2, 2, 1, 1, 1, 1]
[;	1.0	1.34164	[2, 1, 2, 2, 1, 2, 2, -2, -1, 1]
[=	1.7	0.64031	[2, 2, 1, 1, 1, 2, 2, 3, 2, 1]
\-:	-1.0	1.18322	[-3, -1, -1, -1, -1, -1, 2, -2, -1, -1]
\:	-1.0	0.0	[-1, -1, -1, -1, -1, -1, -1, -1, -1, -1]
\:<	-1.7	1.18743	[-1, -3, -2, -2, -3, -3, -2, -1, 1, -1]
\=	-1.1	0.3	[-1, -1, -1, -1, -1, -1, -1, -2, -1, -1]
\^:	-1.3	0.45826	[-1, -1, -1, -2, -1, -1, -1, -2, -2, -1]
\o/	2.2	0.9798	[2, 1, 1, 2, 4, 2, 2, 4, 2, 2]
\o:	-1.2	0.4	[-1, -1, -1, -1, -2, -1, -1, -2, -1, -1]
]-:	-2.1	0.53852	[-2, -3, -3, -2, -2, -2, -1, -2, -2, -2]
]:	-1.6	0.66332	[-1, -2, -1, -2, -3, -2, -1, -1, -1, -2]
]:<	-2.5	0.80623	[-2, -2, -2, -3, -4, -2, -2, -2, -2, -4]
^<_<	1.4	1.11355	[3, 1, 3, 2, 1, 1, 1, -1, 2, 1]
^urs	-2.8	0.6	[-2, -3, -3, -2, -3, -3, -2, -3, -4, -3]
abandon	-1.9	0.53852	[-1, -2, -2, -2, -2, -3, -2, -2, -1, -2]
abandoned	-2.0	1.09545	[-1, -1, -3, -2, -1, -4, -1, -3, -3, -1]
abandoner	-1.9	0.83066	[-1, -1, -3, -2, -1, -3, -1, -2, -3, -2]
abandoners	-1.9	0.83066	[-2, -3, -2, -3, -2, -1, -2, -2, 0, -2]
abandoning	-1.6	0.8	[-3, -2, -3, -2, -1, -1, -1, -1, -1, -1]
abandonment	-2.4	1.0198	[-4, -2, -1, -4, -2, -1, -2, -3, -3, -2]
abandonments	-1.7	0.45826	[-2, -1, -2, -2, -1, -2, -1, -2, -2, -2]
abandons	-1.3	0.9	[-2, -1, -1, -2, -1, -2, -1, -2, 1, -2]
abducted	-2.3	1.18743	[-3, -1, 0, -3, -1, -3, -4, -2, -3, -3]
abduction	-2.8	0.87178	[-4, -3, -3, -4, -1, -3, -2, -2, -3, -3]
abductions	-2.0	1.41421	[-3, -4, -1, -3, -1, -3, 1, -2, -1, -3]
abhor	-2.0	1.09545	[-3, -3, -1, -1, -2, -1, -3, -3, 0, -3]
abhorred	-2.4	1.49666	[-4, -4, 0, -3, -2, -1, -4, -3, -3, 0]
abhorrent	-3.1	1.3	[-4, -4, -4, -2, 0, -4, -2, -3, -4, -4]
abhors	-2.9	1.51327	[0, -4, -3, -3, -4, -4, 0, -4, -3, -4]
abilities	1.0	0.63246	[1, 2, 0, 1, 0, 1, 1, 1, 1, 2]
ability	1.3	0.64031	[1, 1, 1, 0, 1, 2, 2, 2, 2, 1]
aboard	0.1	0.3	[0, 0, 0, 0, 1, 0, 0, 0, 0, 0]
absentee	-1.1	0.53852	[-1, -1, 0, -2, -1, -1, -2, -1, -1, -1]
absentees	-0.8	0.6	[-1, 0, 0, -1, -1, 0, -2, -1, -1, -1]
absolve	1.2	1.46969	[2, -3, 2, 2, 1, 1, 2, 1, 2, 2]
absolved	1.5	0.92195	[3, 1, 2, 1, 0, 2, 3, 1, 1, 1]
absolves	1.3	1.00499	[3, 1, 1, 0, 0, 2, 3, 1, 1, 1]
absolving	1.6	0.8	[3, 1, 2, 1, 1, 2, 3, 1, 1, 1]
abuse	-3.2	0.6	[-4, -2, -3, -4, -3, -4, -3, -3, -3, -3]
abused	-2.3	0.64031	[-2, -2, -3, -2, -2, -4, -2, -2, -2, -2]
abuser	-2.6	0.4899	[-3, -2, -3, -3, -2, -3, -2, -2, -3, -3]
abusers	-2.6	1.0198	[-2, -3, -3, -3, -3, -2, -3, -4, -3, 0]
abuses	-2.6	0.66332	[-3, -2, -3, -3, -3, -3, -1, -2, -3, -3]
abusing	-2.0	1.41421	[-1, -2, -2, -4, -4, -2, -3, -1, 1, -2]
abusive	-3.2	0.74833	[-4, -3, -3, -4, -4, -3, -4, -2, -3, -2]
abusively	-2.8	0.6	[-3, -4, -3, -2, -3, -2, -2, -3, -3, -3]
abusiveness	-2.5	0.92195	[-2, -4, -2, -3, -2, -3, -4, -2, -1, -2]
abusivenesses	-3.0	0.63246	[-3, -3, -4, -3, -4, -2, -2, -3, -3, -3]
accept	1.6	0.91652	[2, 1, 2, 1, 1, 2, 4, 1, 1, 1]
acceptabilities	1.6	0.66332	[0, 2, 2, 2, 1, 2, 2, 2, 1, 2]
acceptability	1.1	0.53852	[1, 0, 1, 2, 1, 2, 1, 1, 1, 1]
acceptable	1.3	0.45826	[1, 2, 1, 1, 1, 2, 1, 1, 2, 1]
acceptableness	1.3	0.9	[1, 0, 2, 1, 2, 1, 1, 0, 2, 3]
acceptably	1.5	0.67082	[3, 2, 1, 1, 1, 2, 1, 1, 2, 1]
acceptance	2.0	0.63246	[3, 1, 3, 2, 1, 2, 2, 2, 2, 2]
acceptances	1.7	0.78102	[3, 1, 1, 1, 2, 2, 1, 2, 3, 1]
acceptant	1.6	0.8	[0, 1, 2, 2, 2, 1, 2, 1, 3, 2]
acceptation	1.3	0.78102	[0, 1, 2, 1, 1, 1, 1, 3, 2, 1]
acceptations	0.9	0.83066	[1, 2, 0, 2, 0, 1, 0, 2, 1, 0]
accepted	1.1	0.3	[1, 1, 1, 1, 1, 2, 1, 1, 1, 1]
accepting	1.6	0.66332	[2, 2, 2, 1, 1, 2, 1, 3, 1, 1]
accepts	1.3	0.45826	[1, 2, 1, 1, 1, 2, 2, 1, 1, 1]
accident	-2.1	0.83066	[-2, -2, -1, -3, -4, -2, -2, -1, -2, -2]
accidental	-0.3	0.45826	[-1, -1, 0, 0, 0, 0, 0, 0, -1, 0]
accidentally	-1.4	0.91652	[-2, 0, -2, 0, -3, -1, -1, -1, -2, -2]
accidents	-1.3	0.78102	[-1, -1, -1, -1, -2, 0, -3, -1, -2, -1]
accomplish	1.8	0.6	[1, 2, 3, 2, 2, 2, 1, 1, 2, 2]
accomplished	1.9	0.53852	[2, 2, 2, 1, 2, 2, 3, 1, 2, 2]
accomplishes	1.7	0.9	[2, 2, 1, 0, 2, 3, 3, 1, 1, 2]
accusation	-1.0	1.09545	[-1, -1, -2, -2, -2, -1, -1, -1, 2, -1]
accusations	-1.3	1.26886	[-2, -2, -1, -3, -2, -1, -1, 2, -2, -1]
accuse	-0.8	1.53623	[-3, -1, -1, -2, 1, -2, 1, -2, 2, -1]
accused	-1.2	1.46969	[-2, -1, -2, 2, -2, -3, -2, -2, -1, 1]
accuses	-1.4	1.0198	[-2, -1, -2, 1, -2, -3, -1, -2, -1, -1]
accusing	-0.7	1.34536	[-2, -1, -1, 1, -3, -1, -1, 2, -1, 0]
ache	-1.6	1.2	[-1, -2, -2, -2, -1, -4, -1, 1, -2, -2]
ached	-1.6	0.8	[-2, -2, -1, -2, -1, -2, -3, 0, -1, -2]
aches	-1.0	0.7746	[-1, -2, -1, -1, -1, 1, -2, -1, -1, -1]
achievable	1.3	0.45826	[2, 1, 1, 1, 1, 1, 1, 2, 2, 1]
aching	-2.2	0.74833	[-2, -3, -2, -1, -3, -3, -2, -3, -1, -2]
acquit	0.8	1.72047	[-3, 3, -1, 3, 2, 1, 1, 1, 0, 1]
acquits	0.1	1.37477	[1, -3, -1, 0, 2, 0, -1, 1, 1, 1]
acquitted	1.0	0.89443	[2, 2, 1, 1, 2, 0, 1, 1, -1, 1]
acquitting	1.3	0.78102	[3, 2, 0, 1, 1, 1, 2, 1, 1, 1]
acrimonious	-1.7	1.73494	[-1, -3, -2, -3, 3, -3, -1, -2, -2, -3]
active	1.7	1.26886	[1, 2, 1, 1, 1, 4, 2, 4, 0, 1]
actively	1.3	0.78102	[0, 1, 0, 2, 2, 1, 1, 2, 2, 2]
activeness	0.6	0.8	[0, 2, 0, 0, 1, 0, 1, 0, 2, 0]
activenesses	0.8	0.74833	[2, 0, 1, 0, 0, 0, 1, 2, 1, 1]
actives	1.1	0.7	[2, 1, 0, 1, 1, 0, 1, 1, 2, 2]
adequate	0.9	0.7	[0, 0, 1, 1, 0, 2, 1, 1, 2, 1]
admirability	2.4	0.4899	[2, 3, 3, 3, 3, 2, 2, 2, 2, 2]
admirable	2.6	0.66332	[2, 3, 3, 3, 4, 3, 2, 2, 2, 2]
admirableness	2.2	0.87178	[2, 2, 3, 3, 3, 1, 3, 1, 3, 1]
admirably	2.5	0.67082	[2, 3, 3, 3, 4, 2, 2, 2, 2, 2]
admiral	1.3	1.18743	[0, 0, 1, 3, 3, 2, 2, 0, 2, 0]
admirals	1.5	0.80623	[2, 2, 0, 2, 2, 0, 1, 2, 2, 2]
admiralties	1.6	0.66332	[2, 2, 2, 1, 0, 2, 2, 2, 1, 2]
admiralty	1.2	1.53623	[0, 4, 0, 0, 0, 2, 2, 3, 2, -1]
admiration	2.5	0.80623	[3, 1, 1, 3, 3, 2, 3, 3, 3, 3]
admirations	1.6	0.66332	[2, 2, 1, 1, 2, 2, 2, 2, 2, 0]
admire	2.1	0.83066	[3, 3, 1, 3, 3, 2, 1, 2, 1, 2]
admired	2.3	0.78102	[4, 2, 2, 2, 2, 2, 3, 3, 1, 2]
admirer	1.8	0.74833	[2, 1, 1, 2, 3, 2, 3, 1, 1, 2]
admirers	1.7	1.00499	[2, 3, 2, 2, 2, 1, -1, 2, 2, 2]
admires	1.5	0.67082	[3, 1, 1, 2, 1, 2, 2, 1, 1, 1]
admiring	1.6	0.8	[1, 2, 1, 1, 3, 3, 2, 1, 1, 1]
admiringly	2.3	0.64031	[1, 3, 3, 2, 2, 2, 2, 3, 3, 2]
admit	0.8	1.07703	[0, 0, 0, 0, 0, 1, 3, 2, 2, 0]
admits	1.2	0.87178	[1, 2, 2, 2, 0, 0, 1, 2, 0, 2]
admitted	0.4	0.66332	[0, 1, 0, 1, 0, 0, 2, 0, 0, 0]
admonished	-1.9	0.9434	[-2, -2, -2, -1, -2, -3, -1, -1, -1, -4]
adopt	0.7	0.64031	[0, 0, 1, 1, 1, 0, 1, 0, 1, 2]
adopts	0.7	0.64031	[0, 0, 1, 2, 1, 0, 1, 1, 0, 1]
adorability	2.2	0.74833	[2, 2, 2, 2, 1, 2, 3, 2, 4, 2]
adorable	2.2	0.6	[3, 2, 2, 3, 2, 2, 1, 3, 2, 2]
adorableness	2.5	0.67082	[2, 3, 3, 2, 3, 2, 1, 3, 3, 3]
adorably	2.1	0.7	[3, 1, 2, 3, 2, 2, 1, 3, 2, 2]
adoration	2.9	0.7	[3, 3, 3, 2, 3, 3, 4, 2, 4, 2]
adorations	2.2	0.87178	[2, 2, 3, 1, 3, 1, 3, 3, 1, 3]
adore	2.6	0.91652	[3, 3, 1, 2, 3, 3, 3, 4, 1, 3]
adored	1.8	0.87178	[2, 3, 3, 2, 2, 1, 1, 0, 2, 2]
adorer	1.7	1.1	[2, 4, 3, 1, 2, 1, 1, 0, 2, 1]
adorers	2.1	0.7	[3, 2, 1, 2, 2, 2, 3, 2, 3, 1]
adores	1.6	0.66332	[2, 1, 3, 2, 2, 1, 1, 1, 2, 1]
adoring	2.6	0.66332	[2, 3, 3, 3, 1, 3, 3, 2, 3, 3]
adoringly	2.4	0.8	[2, 3, 2, 3, 3, 3, 3, 1, 1, 3]
adorn	0.9	0.53852	[1, 1, 1, 0, 2, 1, 1, 0, 1, 1]
adorned	0.8	1.249	[1, 1, 0, 2, -1, 3, -1, 2, 1, 0]
adorner	1.3	0.78102	[1, 1, 1, 2, 1, 3, 1, 2, 1, 0]
adorners	0.9	0.9434	[2, 2, 0, 1, -1, 2, 1, 1, 0, 1]
adorning	1.0	0.7746	[0, 0, 1, 1, 1, 2, 2, 1, 0, 2]
adornment	1.3	0.78102	[1, 3, 1, 0, 2, 2, 1, 1, 1, 1]
adornments	0.8	1.16619	[2, -1, 0, 0, 2, 1, 2, -1, 1, 2]
adorns	0.5	1.56525	[3, -1, 1, 0, 2, -1, 3, -1, 0, -1]
advanced	1.0	0.63246	[1, 0, 1, 1, 1, 0, 1, 2, 1, 2]
advantage	1.0	0.63246	[1, 2, 1, 1, 2, 0, 1, 0, 1, 1]
advantaged	1.4	0.91652	[1, 0, 3, 0, 1, 1, 2, 2, 2, 2]
advantageous	1.5	0.67082	[2, 0, 2, 2, 2, 1, 1, 1, 2, 2]
advantageously	1.9	0.53852	[2, 2, 2, 3, 2, 2, 2, 1, 1, 2]
advantageousness	1.6	1.28062	[-2, 2, 3, 1, 2, 2, 2, 2, 2, 2]
advantages	1.5	0.80623	[1, 0, 3, 1, 1, 1, 2, 2, 2, 2]
advantaging	1.6	0.66332	[3, 1, 1, 2, 1, 1, 2, 2, 2, 1]
adventure	1.3	0.45826	[1, 2, 1, 1, 2, 1, 1, 1, 1, 2]
adventured	1.3	0.45826	[1, 2, 1, 2, 1, 2, 1, 1, 1, 1]
adventurer	1.2	0.6	[1, 2, 0, 2, 1, 2, 1, 1, 1, 1]
adventurers	0.9	0.9434	[0, 1, 0, 1, 0, 1, 0, 1, 3, 2]
adventures	1.4	1.2	[2, 2, 1, 2, -2, 2, 2, 1, 2, 2]
adventuresome	1.7	1.1	[0, 3, 0, 1, 2, 2, 3, 1, 2, 3]
adventuresomeness	1.3	1.00499	[1, 0, 0, 2, 3, 2, 2, 0, 1, 2]
adventuress	0.8	1.72047	[3, -1, 2, 2, 0, 0, 1, 2, -3, 2]
adventuresses	1.4	1.11355	[1, 0, 0, 3, 2, 2, 3, 0, 1, 2]
adventuring	2.3	0.78102	[2, 3, 2, 3, 1, 3, 3, 1, 2, 3]
adventurism	1.5	0.67082	[1, 0, 2, 2, 2, 2, 1, 1, 2, 2]
adventurist	1.4	0.4899	[1, 1, 2, 1, 2, 2, 2, 1, 1, 1]
adventuristic	1.7	0.64031	[2, 1, 1, 2, 2, 1, 3, 2, 2, 1]
adventurists	1.2	0.9798	[3, 1, 0, 0, 1, 2, 1, 0, 2, 2]
adventurous	1.4	1.11355	[0, 1, 2, 1, 2, 0, 3, 2, 3, 0]
adventurously	1.3	0.9	[0, 1, 2, 2, 1, 2, 1, 1, 0, 3]
adventurousness	1.8	0.87178	[0, 1, 3, 2, 1, 3, 2, 2, 2, 2]
adversarial	-1.5	0.92195	[-2, 0, -1, -3, -2, -2, 0, -1, -2, -2]
adversaries	-1.0	0.63246	[-1, -1, -1, -1, 0, -2, -2, -1, -1, 0]
adversary	-0.8	1.72047	[-3, -1, -2, -2, -2, 2, 1, -1, 2, -2]
adversative	-1.2	0.74833	[-1, -1, -2, -1, -1, -1, -3, -1, 0, -1]
adversatively	-0.1	1.37477	[0, -2, -1, 0, -1, -1, 1, 1, 3, -1]
adversatives	-1.0	0.7746	[-1, -1, -2, -1, -2, 1, -1, -1, -1, -1]
adverse	-1.5	0.80623	[-2, -2, -2, -1, -1, 0, -1, -3, -1, -2]
adversely	-0.8	1.6	[-2, -2, 0, -2, -2, 2, -2, 2, -2, 0]
adverseness	-0.6	1.35647	[-1, -2, -1, 2, -1, -2, -1, 2, -1, -1]
adversities	-1.5	0.67082	[-2, -2, -1, -1, -2, 0, -2, -1, -2, -2]
adversity	-1.8	0.6	[-3, -2, -1, -2, -2, -2, -1, -1, -2, -2]
affected	-0.6	1.35647	[-1, -2, 0, -2, 0, 0, 2, -2, 1, -2]
affection	2.4	0.8	[3, 2, 2, 3, 4, 1, 3, 2, 2, 2]
affectional	1.9	1.04403	[3, 3, 2, 0, 2, 2, 2, 3, 2, 0]
affectionally	1.5	0.92195	[1, 1, 3, 1, 1, 0, 2, 2, 3, 1]
affectionate	1.9	1.13578	[1, 0, 3, 1, 3, 2, 2, 1, 2, 4]
affectionately	2.2	0.87178	[4, 1, 1, 2, 2, 2, 3, 3, 2, 2]
affectioned	1.8	0.4	[2, 2, 1, 2, 2, 1, 2, 2, 2, 2]
affectionless	-2.0	0.44721	[-2, -1, -2, -2, -2, -2, -2, -2, -2, -3]
affections	1.5	1.11803	[-1, 3, 2, 2, 1, 1, 2, 1, 3, 1]
afflicted	-1.5	1.0247	[-1, -2, -3, -2, 1, -1, -1, -2, -2, -2]
affronted	0.2	2.03961	[1, -2, 2, -2, -2, 4, 0, 2, 1, -2]
aggravate	-2.5	0.80623	[-3, -3, -2, -3, -2, -4, -3, -2, -2, -1]
aggravated	-1.9	1.04403	[-4, -3, -3, -1, -1, -1, -1, -2, -2, -1]
aggravates	-1.9	0.83066	[-3, -2, -2, -2, -3, -1, -2, -2, 0, -2]
aggravating	-1.2	0.9798	[-2, -2, -1, -2, -2, -1, 0, 1, -1, -2]
aggress	-1.3	1.55242	[-2, -2, 2, -2, -1, -3, -3, -1, 1, -2]
aggressed	-1.4	0.4899	[-1, -1, -1, -1, -2, -1, -2, -2, -2, -1]
aggresses	-0.5	1.43178	[-1, -2, -1, -1, -3, 0, -1, 1, 2, 1]
aggressing	-0.6	1.28062	[-1, -2, -1, 0, -1, -2, 2, -2, 1, 0]
aggression	-1.2	1.77764	[-2, -2, 1, 1, -4, 2, -2, -2, -2, -2]
aggressions	-1.3	1.48661	[-1, -2, -2, -2, -2, -3, 1, -2, 2, -2]
aggressive	-0.6	1.28062	[-2, 1, -2, -2, 0, -2, -1, 1, 1, 0]
aggressively	-1.3	1.55242	[-1, -2, 3, -2, -3, -2, -1, -1, -2, -2]
aggressiveness	-1.8	0.74833	[-1, -2, -1, -2, -2, -1, -3, -1, -3, -2]
aggressivities	-1.4	1.28062	[-1, -1, -1, -2, 2, -2, -2, -2, -3, -2]
aggressivity	-0.6	1.35647	[-3, -1, 1, 0, 0, 0, -3, -1, 1, 0]
aggressor	-0.8	1.32665	[-2, 0, -1, 2, -2, -2, -1, -1, -2, 1]
aggressors	-0.9	1.13578	[-2, -2, -1, -1, -1, 1, 1, 0, -2, -2]
aghast	-1.9	1.04403	[-2, -3, -1, 0, -2, -1, -4, -2, -2, -2]
agitate	-1.7	0.64031	[-2, -2, -3, -1, -1, -1, -2, -1, -2, -2]
agitated	-2.0	0.63246	[-2, -2, -2, -2, -1, -3, -3, -2, -2, -1]
agitatedly	-1.6	0.8	[-1, -2, -1, -3, -1, -3, -1, -1, -2, -1]
agitates	-1.4	0.8	[-2, 0, -1, -2, -1, -1, -3, -1, -2, -1]
agitating	-1.8	0.87178	[-2, -1, -1, -1, -2, -3, -1, -3, -3, -1]
agitation	-1.0	1.09545	[-2, -1, 1, -1, -2, -1, -2, -1, 1, -2]
agitational	-1.2	1.66132	[-3, -3, -2, 1, -1, -2, 0, 2, -1, -3]
agitations	-1.3	1.18743	[-1, -2, -1, -3, -2, -3, 0, -1, 1, -1]
agitative	-1.3	1.26886	[-2, -2, -1, -2, -1, -3, 1, -2, 1, -2]
agitato	-0.1	1.13578	[1, 2, 0, 0, 0, 0, -2, 0, -2, 0]
agitator	-1.4	0.8	[-1, -1, -1, -2, -1, -1, -2, -3, -2, 0]
agitators	-2.1	0.9434	[-2, -3, -3, -2, -2, -1, -3, -2, 0, -3]
agog	1.9	0.7	[2, 1, 3, 3, 2, 1, 2, 2, 1, 2]
agonise	-2.1	0.9434	[-3, -3, -2, -3, -1, -3, -1, -3, -1, -1]
agonised	-2.3	0.64031	[-2, -3, -3, -2, -2, -2, -2, -3, -1, -3]
agonises	-2.4	0.91652	[-1, -4, -3, -3, -2, -2, -2, -3, -1, -3]
agonising	-1.5	1.43178	[-3, -2, -3, -3, -1, 1, 0, 0, -1, -3]
agonize	-2.3	0.9	[-2, -3, -1, -2, -2, -2, -4, -1, -3, -3]
agonized	-2.2	1.249	[-2, -3, -3, -3, -3, -2, -1, -3, 1, -3]
agonizes	-2.3	1.18743	[-1, -3, -4, -3, -3, -2, -1, -3, 0, -3]
agonizing	-2.7	0.78102	[-3, -2, -2, -2, -4, -3, -3, -2, -4, -2]
agonizingly	-2.3	1.48661	[-3, -1, -3, -4, -4, -2, -3, 1, -1, -3]
agony	-1.8	1.16619	[-3, -1, -2, -4, -2, -1, 0, -3, -1, -1]
agree	1.5	1.11803	[1, 0, 3, 1, 2, 1, 4, 1, 1, 1]
agreeability	1.9	1.04403	[1, 1, 1, 3, 3, 2, 1, 2, 4, 1]
agreeable	1.8	0.4	[2, 1, 2, 1, 2, 2, 2, 2, 2, 2]
agreeableness	1.8	0.9798	[2, 3, 2, 1, 1, 1, 4, 1, 2, 1]
agreeablenesses	1.3	0.45826	[2, 1, 1, 2, 1, 2, 1, 1, 1, 1]
agreeably	1.6	0.4899	[1, 1, 2, 1, 1, 2, 2, 2, 2, 2]
agreed	1.1	0.53852	[1, 1, 2, 1, 1, 2, 1, 0, 1, 1]
agreeing	1.4	0.4899	[1, 1, 1, 1, 2, 1, 1, 2, 2, 2]
agreement	2.2	0.74833	[2, 1, 1, 3, 3, 3, 2, 2, 2, 3]
agreements	1.1	1.13578	[0, 1, 0, 1, 1, 2, 1, 0, 4, 1]
agrees	0.8	1.4	[1, 1, 1, 1, 3, 1, -3, 1, 1, 1]
alarm	-1.4	0.91652	[-1, -1, -2, -2, -2, -2, -1, 1, -2, -2]
alarmed	-1.4	0.4899	[-2, -1, -2, -2, -1, -1, -1, -2, -1, -1]
alarming	-0.5	1.62788	[-1, 1, -1, 1, -3, 1, -2, -3, 1, 1]
alarmingly	-2.6	0.91652	[-3, -3, -4, -3, -2, -1, -3, -3, -1, -3]
alarmism	-0.3	1.26886	[-2, 0, -2, -1, 0, 1, 1, -1, 2, -1]
alarmists	-1.1	1.3	[-1, -2, -3, -2, -1, -2, 1, 1, 0, -2]
alarms	-1.1	1.04403	[-2, 0, -2, -1, 0, 0, 0, -1, -2, -3]
alas	-1.1	1.22066	[-1, -2, -1, 0, -1, 0, 1, -3, -1, -3]
alert	1.2	0.87178	[1, 2, 0, 1, 0, 2, 2, 0, 2, 2]
alienation	-1.1	1.51327	[-3, -2, -3, -1, -2, -1, 2, -1, 1, -1]
alive	1.6	0.8	[1, 1, 2, 3, 3, 2, 1, 1, 1, 1]
allergic	-1.2	0.4	[-1, -2, -1, -2, -1, -1, -1, -1, -1, -1]
allow	0.9	0.83066	[0, 0, 0, 1, 2, 2, 1, 1, 2, 0]
alone	-1.0	0.63246	[-2, -1, -1, -1, -2, -1, 0, -1, -1, 0]
alright	1.0	0.7746	[0, 1, 0, 3, 1, 1, 1, 1, 1, 1]
amaze	2.5	1.0247	[3, 2, 3, 4, 2, 3, 1, 4, 2, 1]
amazed	2.2	1.07703	[1, 0, 3, 2, 2, 4, 3, 3, 2, 2]
amazedly	2.1	0.53852	[2, 2, 2, 2, 3, 2, 2, 3, 1, 2]
amazement	2.5	0.80623	[3, 3, 2, 4, 1, 2, 2, 3, 2, 3]
amazements	2.2	0.87178	[3, 1, 1, 3, 3, 2, 1, 2, 3, 3]
amazes	2.2	0.9798	[1, 0, 3, 2, 2, 3, 3, 3, 2, 3]
amazing	2.8	0.87178	[1, 4, 3, 2, 4, 2, 3, 3, 3, 3]
amazon	0.7	0.64031	[0, 1, 1, 0, 1, 0, 1, 0, 1, 2]
amazonite	0.2	0.6	[0, 0, 2, 0, 0, 0, 0, 0, 0, 0]
amazons	-0.1	0.3	[0, 0, 0, 0, 0, 0, 0, 0, -1, 0]
amazonstone	1.0	1.61245	[0, 0, 0, 0, 4, 4, 2, 0, 0, 0]
amazonstones	0.2	0.6	[0, 0, 0, 0, 0, 0, 0, 0, 2, 0]
ambitious	2.1	0.53852	[2, 3, 2, 2, 2, 2, 2, 2, 3, 1]
ambivalent	0.5	0.92195	[0, 0, -1, 2, 1, 1, 1, -1, 1, 1]
amor	3.0	0.63246	[3, 3, 2, 4, 3, 2, 4, 3, 3, 3]
amoral	-1.6	0.66332	[-1, -2, 0, -2, -2, -2, -2, -2, -1, -2]
amoralism	-0.7	1.34536	[-2, -1, -2, 0, 0, -3, 2, 0, -1, 0]
amoralisms	-0.7	1.00499	[-2, 0, 1, -1, -2, -1, -1, 1, -1, -1]
amoralities	-1.2	1.6	[-3, 0, 0, -2, 1, -1, 0, -4, -3, 0]
amorality	-1.5	0.92195	[0, -1, -1, -2, -1, -3, -1, -3, -2, -1]
amorally	-1.0	1.61245	[-2, 0, 1, -4, -1, 1, 1, -2, -2, -2]
amoretti	0.2	0.4	[0, 0, 0, 1, 0, 0, 0, 0, 0, 1]
amoretto	0.6	0.8	[0, 1, 0, 1, 0, 0, 2, 0, 0, 2]
amorettos	0.3	0.64031	[0, 1, 0, 1, 0, 0, 0, 1, 1, -1]
amorino	1.2	0.87178	[2, 1, 1, 0, 3, 1, 1, 0, 1, 2]
amorist	1.6	1.0198	[3, 0, 0, 2, 2, 1, 3, 1, 2, 2]
amoristic	1.0	1.67332	[1, 0, 2, 3, -1, 3, 1, 3, 0, -2]
amorists	0.1	0.9434	[0, 2, 0, 0, 1, 0, -2, 0, 0, 0]
amoroso	2.3	0.78102	[3, 1, 1, 2, 3, 3, 3, 3, 2, 2]
amorous	1.8	0.9798	[3, 1, 2, 2, 1, 1, 3, 0, 2, 3]
amorously	2.3	0.78102	[1, 1, 3, 2, 3, 3, 2, 3, 2, 3]
amorousness	2.0	0.89443	[2, 3, 1, 2, 0, 2, 2, 3, 3, 2]
amorphous	-0.2	0.4	[0, 0, 0, 0, 0, 0, -1, 0, 0, -1]
amorphously	0.1	0.7	[-1, 0, 0, 0, 0, 0, 2, 0, 0, 0]
amorphousness	0.3	0.45826	[0, 0, 0, 0, 0, 1, 1, 1, 0, 0]
amort	-2.1	0.83066	[-3, -1, -2, -2, -2, -2, -2, -4, -1, -2]
amortise	0.5	1.43178	[0, 1, 1, 0, -3, 2, 0, 0, 2, 2]
amortised	-0.2	1.16619	[-1, -3, 0, 0, 0, 2, 0, 0, 0, 0]
amortises	0.1	0.83066	[-1, -1, 0, 0, 0, 2, 1, 0, 0, 0]
amortizable	0.5	1.0247	[2, 0, 1, 0, 1, 1, -2, 1, 0, 1]
amortization	0.6	1.0198	[0, 0, 0, 0, 1, 0, 0, 0, 3, 2]
amortizations	0.2	1.07703	[-1, 1, 0, 0, 1, 0, 2, 1, -2, 0]
amortize	-0.1	1.04403	[0, 0, 0, 0, 2, -2, -1, 1, -1, 0]
amortized	0.8	0.74833	[0, 2, 0, 0, 1, 1, 1, 0, 1, 2]
amortizes	0.6	0.8	[0, 2, 0, 0, 1, 1, 0, 0, 0, 2]
amortizing	0.8	1.249	[0, 3, 0, 0, 0, 0, 0, 0, 3, 2]
amusable	0.7	1.18743	[2, 1, 1, 1, 1, 1, 2, -2, -1, 1]
amuse	1.7	0.78102	[1, 2, 1, 1, 2, 1, 1, 3, 3, 2]
amused	1.8	0.6	[1, 2, 2, 2, 2, 2, 1, 2, 3, 1]
amusedly	2.2	0.74833	[3, 3, 2, 2, 3, 2, 2, 3, 1, 1]
amusement	1.5	1.11803	[3, 2, 3, 1, 2, 2, -1, 1, 1, 1]
amusements	1.5	1.0247	[2, 1, 2, 1, 2, 2, 3, -1, 2, 1]
amuser	1.1	1.7	[2, 1, -3, 2, 2, 3, -1, 1, 2, 2]
amusers	1.3	0.45826	[1, 1, 2, 1, 2, 1, 2, 1, 1, 1]
amuses	1.7	0.64031	[1, 2, 1, 2, 2, 2, 1, 2, 3, 1]
amusia	0.3	1.48661	[0, -1, 1, -1, 2, 2, -1, -1, -1, 3]
amusias	-0.4	0.66332	[-1, 0, 0, 1, 0, 0, -1, -1, -1, -1]
amusing	1.6	0.91652	[2, 2, 2, -1, 2, 2, 1, 2, 2, 2]
amusingly	0.8	1.249	[1, 2, 1, 1, 1, 2, 2, -2, -1, 1]
amusingness	1.8	0.6	[1, 2, 3, 2, 1, 2, 2, 1, 2, 2]
amusive	1.7	1.1	[3, 1, 3, 1, 2, 2, 2, 2, -1, 2]
anger	-2.7	1.18743	[-1, -2, -3, -2, -4, -4, -2, -1, -4, -4]
angered	-2.3	0.78102	[-2, -3, -2, -4, -2, -2, -3, -2, -2, -1]
angering	-2.2	0.6	[-3, -2, -1, -3, -2, -2, -3, -2, -2, -2]
angerly	-1.9	0.53852	[-2, -2, -1, -1, -3, -2, -2, -2, -2, -2]
angers	-2.3	0.9	[-3, -1, -2, -3, -2, -2, -4, -1, -3, -2]
angrier	-2.3	0.64031	[-2, -3, -2, -3, -1, -3, -2, -3, -2, -2]
angriest	-3.1	0.83066	[-4, -3, -2, -2, -2, -4, -3, -4, -4, -3]
angrily	-1.8	0.4	[-2, -1, -2, -2, -2, -1, -2, -2, -2, -2]
angriness	-1.7	0.64031	[-2, 0, -2, -2, -1, -2, -2, -2, -2, -2]
angry	-2.3	0.9	[-2, -2, -1, -3, -1, -2, -4, -2, -3, -3]
anguish	-2.9	0.83066	[-3, -3, -2, -3, -4, -1, -3, -3, -4, -3]
anguished	-1.8	1.4	[-3, -4, -1, -3, -2, -1, -1, 1, -1, -3]
anguishes	-2.1	1.44568	[-4, -4, -2, -3, 1, -2, -1, -1, -2, -3]
anguishing	-2.7	0.9	[-2, -2, -1, -3, -2, -4, -4, -3, -3, -3]
animosity	-1.9	1.75784	[-2, -3, -3, -3, -2, 2, 1, -3, -3, -3]
annoy	-1.9	0.53852	[-2, -2, -1, -2, -2, -1, -2, -2, -2, -3]
annoyance	-1.3	1.55242	[-2, -3, -2, -2, -1, 1, -3, -2, 2, -1]
annoyances	-1.8	0.6	[-2, -2, -2, -1, -1, -2, -3, -1, -2, -2]
annoyed	-1.6	1.11355	[-3, -1, 1, -3, -1, -1, -2, -2, -2, -2]
annoyer	-2.2	0.87178	[-3, -2, -1, -3, -2, -4, -2, -1, -2, -2]
annoyers	-1.5	1.0247	[-2, -1, -2, -3, -2, -1, -1, -2, 1, -2]
annoying	-1.7	0.64031	[-1, -2, -1, -2, -1, -1, -2, -2, -3, -2]
annoys	-1.8	0.6	[-1, -2, -3, -2, -2, -2, -1, -2, -1, -2]
antagonism	-1.9	1.04403	[-1, -1, -3, -2, -4, -2, -2, 0, -2, -2]
antagonisms	-1.2	1.53623	[0, -2, -2, -2, -2, -2, 3, -2, -1, -2]
antagonist	-1.9	0.7	[-3, -1, -2, -3, -2, -2, -1, -2, -2, -1]
antagonistic	-1.7	0.9	[-2, -2, -2, 1, -2, -2, -2, -2, -2, -2]
antagonistically	-2.2	0.87178	[-2, -3, -4, -2, -2, -3, -2, -2, -1, -1]
antagonists	-1.7	0.64031	[-2, -1, -1, -2, -1, -2, -2, -3, -1, -2]
antagonize	-2.0	0.44721	[-2, -2, -2, -3, -2, -1, -2, -2, -2, -2]
antagonized	-1.4	0.66332	[-2, -1, -2, -2, -1, 0, -2, -1, -1, -2]
antagonizes	-0.5	1.9105	[-2, 4, -2, -2, 1, 0, -2, 1, -1, -2]
antagonizing	-2.7	0.64031	[-4, -2, -2, -3, -2, -3, -3, -2, -3, -3]
anti	-1.3	0.78102	[0, -2, -3, -1, -1, -2, -1, -1, -1, -1]
anticipation	0.4	1.28062	[1, 1, -1, 0, -1, 1, 1, 2, -2, 2]
anxieties	-0.6	1.85472	[-2, -3, -3, -2, -1, 2, -1, 1, 1, 2]
anxiety	-0.7	2.1	[-2, -2, -2, -3, 3, -1, -3, 2, 2, -1]
anxious	-1.0	0.44721	[-1, -2, -1, -1, 0, -1, -1, -1, -1, -1]
anxiously	-0.9	0.83066	[-1, -1, -2, -1, -1, -1, -1, 0, 1, -2]
anxiousness	-1.0	1.48324	[-2, -1, -1, -1, -1, -2, 3, -3, -1, -1]
aok	2.0	0.89443	[2, 3, 2, 1, 2, 1, 1, 4, 2, 2]
apathetic	-1.2	0.87178	[-1, -1, 0, -2, -2, -1, -1, 0, -3, -1]
apathetically	-0.4	1.28062	[-1, -1, 0, -1, -2, 2, -1, -1, 2, -1]
apathies	-0.6	1.0198	[-1, -1, -1, -2, 0, 1, -1, -2, 1, 0]
apathy	-1.2	1.32665	[-2, -2, -1, 1, -1, -3, -1, 1, -1, -3]
apeshit	-0.9	2.21133	[-4, -3, 2, -3, -2, -3, 1, 0, 2, 1]
apocalyptic	-3.4	0.66332	[-4, -2, -3, -4, -3, -4, -4, -3, -3, -4]
apologise	1.6	0.66332	[2, 3, 2, 2, 1, 1, 2, 1, 1, 1]
apologised	0.4	0.91652	[-1, 0, 2, 0, 0, 1, 0, 2, 0, 0]
apologises	0.8	1.07703	[2, 0, 2, 0, 0, 1, 0, 3, 0, 0]
apologising	0.2	1.6	[0, -1, -1, 2, 2, 1, -2, -1, 3, -1]
apologize	0.4	0.8	[1, -1, 0, 1, 1, 1, -1, 1, 0, 1]
apologized	1.3	0.64031	[1, 1, 1, 2, 0, 2, 1, 2, 2, 1]
apologizes	1.5	0.80623	[2, 1, 1, 2, 0, 2, 1, 2, 3, 1]
apologizing	-0.3	1.34536	[1, 2, -1, 1, -1, 0, -3, 0, -1, -1]
apology	0.2	1.249	[1, 1, 1, 1, -1, 1, -1, -1, -2, 2]
appall	-2.4	0.66332	[-3, -2, -2, -3, -2, -3, -1, -3, -2, -3]
appalled	-2.0	0.63246	[-3, -2, -3, -2, -2, -1, -1, -2, -2, -2]
appalling	-1.5	1.5	[-2, -4, 1, -1, 1, -1, -2, -3, -2, -2]
appallingly	-2.0	1.67332	[-3, -2, 0, -2, 2, -3, -4, -3, -2, -3]
appalls	-1.9	1.37477	[0, -3, -2, -3, -3, -2, -1, -3, 1, -3]
appease	1.1	0.9434	[1, 1, 1, -1, 2, 0, 1, 2, 2, 2]
appeased	0.9	0.53852	[0, 1, 1, 1, 1, 1, 0, 1, 2, 1]
appeases	0.9	0.53852	[0, 1, 1, 1, 1, 1, 0, 1, 2, 1]
appeasing	1.0	1.09545	[1, 2, -1, 1, 2, 1, 2, 2, 1, -1]
applaud	2.0	0.63246	[3, 2, 2, 2, 1, 2, 3, 1, 2, 2]
applauded	1.5	0.5	[2, 2, 1, 2, 2, 2, 1, 1, 1, 1]
applauding	2.1	0.83066	[2, 2, 4, 1, 2, 2, 2, 1, 2, 3]
applauds	1.4	0.66332	[1, 1, 2, 1, 3, 1, 1, 1, 2, 1]
applause	1.8	0.6	[2, 1, 1, 2, 3, 2, 1, 2, 2, 2]
appreciate	1.7	0.78102	[2, 1, 2, 1, 1, 3, 1, 2, 3, 1]
appreciated	2.3	0.78102	[2, 1, 3, 2, 3, 4, 2, 2, 2, 2]
appreciates	2.3	0.9	[3, 1, 3, 1, 2, 4, 2, 3, 2, 2]
appreciating	1.9	0.7	[1, 1, 2, 2, 2, 2, 1, 3, 2, 3]
appreciation	2.3	0.9	[3, 3, 2, 1, 1, 3, 3, 1, 3, 3]
appreciations	1.7	0.78102	[3, 2, 1, 2, 2, 1, 3, 1, 1, 1]
appreciative	2.6	0.8	[3, 3, 3, 2, 1, 3, 4, 2, 2, 3]
appreciatively	1.8	0.6	[2, 2, 2, 2, 2, 1, 3, 2, 1, 1]
appreciativeness	1.6	0.8	[2, 1, 1, 2, 1, 1, 3, 3, 1, 1]
appreciator	2.6	0.8	[2, 3, 2, 3, 3, 2, 1, 3, 4, 3]
appreciators	1.5	0.80623	[1, 3, 1, 3, 1, 1, 2, 1, 1, 1]
appreciatory	1.7	0.78102	[1, 2, 1, 3, 1, 3, 2, 2, 1, 1]
apprehensible	1.1	1.04403	[2, 0, -1, 3, 1, 2, 1, 1, 1, 1]
apprehensibly	-0.2	1.16619	[0, 0, -1, 2, -1, 2, -1, -1, -1, -1]
apprehension	-2.1	0.83066	[-1, -2, -2, -1, -2, -3, -3, -3, -1, -3]
apprehensions	-0.9	1.04403	[-1, -1, -1, -1, -2, -2, -1, -1, -1, 2]
apprehensively	-0.3	1.18743	[-1, -1, -1, 0, 1, -2, -1, 1, -1, 2]
apprehensiveness	-0.7	0.9	[-1, 1, -1, -1, 1, -1, -2, -1, -1, -1]
approval	2.1	0.53852	[2, 2, 2, 2, 2, 1, 3, 3, 2, 2]
approved	1.8	0.6	[1, 1, 1, 2, 3, 2, 2, 2, 2, 2]
approves	1.7	0.64031	[1, 1, 1, 2, 3, 2, 2, 2, 2, 1]
ardent	2.1	0.7	[3, 3, 2, 2, 3, 1, 2, 2, 1, 2]
arguable	-1.0	0.63246	[-1, -1, -2, -1, -1, -2, 0, 0, -1, -1]
arguably	-1.0	1.09545	[0, -2, 0, -2, 0, 1, -1, -2, -2, -2]
argue	-1.4	0.66332	[-1, -2, -1, -3, -2, -1, -1, -1, -1, -1]
argued	-1.5	0.5	[-2, -2, -1, -1, -1, -1, -2, -2, -2, -1]
arguer	-1.6	0.4899	[-2, -2, -1, -2, -1, -1, -2, -2, -2, -1]
arguers	-1.4	0.4899	[-2, -1, -1, -2, -1, -1, -2, -2, -1, -1]
argues	-1.6	0.4899	[-2, -2, -1, -2, -1, -1, -2, -2, -2, -1]
arguing	-2.0	0.63246	[-3, -3, -1, -1, -2, -2, -2, -2, -2, -2]
argument	-1.5	0.80623	[-3, -1, -1, -1, -1, -2, 0, -2, -2, -2]
argumentative	-1.5	0.67082	[-3, -2, -1, -1, -1, -1, -1, -2, -2, -1]
argumentatively	-1.8	0.9798	[-4, -2, -1, -1, -3, -1, -2, -2, -1, -1]
argumentive	-1.5	0.80623	[-3, -2, -2, -1, 0, -1, -1, -1, -2, -2]
arguments	-1.7	0.64031	[-1, -1, -2, -2, -2, -3, -2, -1, -1, -2]
arrest	-1.4	1.42829	[-1, 0, -1, 0, -2, -3, 0, -4, -3, 0]
arrested	-2.1	1.04403	[-2, -2, -2, -1, -1, -4, -1, -4, -2, -2]
arrests	-1.9	0.83066	[-4, -2, -1, -1, -1, -2, -2, -2, -2, -2]
arrogance	-2.4	0.66332	[-3, -2, -2, -3, -1, -2, -3, -3, -2, -3]
arrogances	-1.9	0.53852	[-1, -2, -3, -2, -2, -2, -2, -1, -2, -2]
arrogant	-2.2	0.6	[-2, -2, -2, -3, -2, -3, -3, -2, -1, -2]
arrogantly	-1.8	1.4	[-3, -2, 2, -3, -1, -3, -2, -2, -2, -2]
ashamed	-2.1	1.3	[-3, -3, -3, -2, -2, 1, -2, -4, -1, -2]
ashamedly	-1.7	0.64031	[-2, -2, -2, -1, -2, -3, -1, -2, -1, -1]
ass	-2.5	1.43178	[-4, -1, -2, -1, -3, 0, -2, -4, -4, -4]
assassination	-2.9	0.9434	[-2, -4, -4, -3, -3, -4, -2, -3, -3, -1]
assassinations	-2.7	1.34536	[-4, -2, -3, -2, -3, -1, -4, -4, 0, -4]
assault	-2.8	0.9798	[-3, -4, -2, -2, -4, -3, -1, -3, -2, -4]
assaulted	-2.4	1.28062	[-3, -3, 1, -3, -3, -3, -1, -3, -3, -3]
assaulting	-2.3	1.1	[-4, -3, -2, -1, -2, -1, -1, -4, -3, -2]
assaultive	-2.8	0.87178	[-3, -4, -2, -4, -3, -2, -3, -1, -3, -3]
assaults	-2.5	0.92195	[-1, -3, -3, -3, -4, -3, -1, -2, -2, -3]
asset	1.5	0.80623	[2, 1, 1, 3, 2, 0, 2, 2, 1, 1]
assets	0.7	1.00499	[0, 0, 1, 3, 0, 1, 0, 0, 2, 0]
assfucking	-2.5	1.43178	[-3, -3, 0, -3, 0, -2, -4, -4, -4, -2]
assholes	-2.8	0.74833	[-3, -3, -3, -3, -4, -3, -2, -3, -1, -3]
assurance	1.4	0.4899	[1, 1, 2, 2, 1, 1, 1, 2, 2, 1]
assurances	1.4	0.4899	[2, 2, 1, 1, 1, 2, 2, 1, 1, 1]
assure	1.4	0.4899	[1, 1, 1, 1, 2, 1, 1, 2, 2, 2]
assured	1.5	0.67082	[1, 1, 2, 1, 1, 3, 2, 1, 2, 1]
assuredly	1.6	0.66332	[1, 1, 1, 3, 2, 2, 2, 1, 2, 1]
assuredness	1.4	0.8	[2, 2, 2, 1, 1, 0, 2, 0, 2, 2]
assurer	0.9	1.13578	[2, 1, 0, 1, -2, 2, 2, 1, 1, 1]
assurers	1.1	0.9434	[2, 0, 0, 1, 3, 2, 0, 1, 1, 1]
assures	1.3	0.45826	[2, 1, 1, 1, 2, 1, 2, 1, 1, 1]
assurgent	1.3	0.9	[2, 1, 0, 0, 1, 2, 1, 2, 3, 1]
assuring	1.6	0.66332	[1, 2, 2, 3, 1, 1, 1, 1, 2, 2]
assuror	0.5	0.67082	[0, 1, 0, 1, 2, 0, 0, 1, 0, 0]
assurors	0.7	1.34536	[2, -1, 0, 2, 0, -2, 2, 1, 1, 2]
astonished	1.6	0.8	[3, 1, 0, 2, 2, 1, 2, 2, 1, 2]
astound	1.7	1.26886	[2, 2, 2, 2, 0, 3, 4, 0, 0, 2]
astounded	1.8	0.9798	[1, 3, 0, 1, 2, 2, 3, 2, 1, 3]
astounding	1.8	1.4	[3, 4, 2, 0, 1, 2, -1, 3, 2, 2]
astoundingly	2.1	1.44568	[3, 0, 4, 1, 4, 3, 1, 3, 0, 2]
astounds	2.1	1.22066	[3, 3, 1, 0, 3, 2, 3, 3, 0, 3]
attachment	1.2	0.9798	[2, 0, 1, 2, 3, 1, 1, 2, 0, 0]
attachments	1.1	0.7	[1, 1, 2, 0, 2, 1, 2, 0, 1, 1]
attack	-2.1	0.83066	[-1, -3, -2, -3, -3, -1, -2, -1, -2, -3]
attacked	-2.0	1.78885	[-2, 3, -2, -2, -3, -3, -3, -4, -2, -2]
attacker	-2.7	0.9	[-2, -3, -2, -1, -3, -3, -4, -4, -2, -3]
attackers	-2.7	0.64031	[-3, -3, -3, -2, -3, -3, -4, -2, -2, -2]
attacking	-2.0	0.89443	[-3, -1, -1, -3, -3, -1, -3, -1, -2, -2]
attacks	-1.9	0.9434	[-2, -2, 0, -2, -2, -2, -1, -4, -2, -2]
attract	1.5	0.92195	[1, 3, 1, 1, 3, 1, 1, 2, 0, 2]
attractancy	0.9	0.7	[1, 0, 2, 1, 0, 2, 1, 1, 0, 1]
attractant	1.3	0.9	[0, 1, 0, 1, 1, 2, 3, 2, 1, 2]
attractants	1.4	0.8	[1, 1, 0, 2, 2, 2, 3, 1, 1, 1]
attracted	1.8	0.6	[1, 3, 1, 2, 2, 2, 2, 2, 2, 1]
attracting	2.1	0.83066	[3, 1, 2, 2, 3, 1, 1, 3, 2, 3]
attraction	2.0	0.7746	[2, 2, 1, 1, 2, 3, 3, 2, 3, 1]
attractions	1.8	0.87178	[1, 3, 0, 2, 2, 2, 2, 3, 1, 2]
attractive	1.9	0.53852	[2, 2, 2, 1, 3, 2, 1, 2, 2, 2]
attractively	2.2	0.6	[3, 2, 2, 3, 2, 2, 2, 3, 1, 2]
attractiveness	1.8	1.16619	[3, 2, 2, 1, 4, 2, 0, 0, 2, 2]
attractivenesses	2.1	0.7	[2, 1, 2, 3, 2, 3, 3, 1, 2, 2]
attractor	1.2	1.16619	[1, 1, 2, 2, 2, -2, 2, 1, 2, 1]
attractors	1.2	0.87178	[1, 1, 2, 2, 0, 1, 3, 1, 0, 1]
attracts	1.7	1.00499	[2, 1, 2, 0, 2, 4, 2, 1, 1, 2]
audacious	0.9	2.02237	[3, -1, -2, 2, 1, 2, -3, 2, 2, 3]
authority	0.3	0.64031	[0, 0, 0, 1, 0, 0, 2, 0, 0, 0]
aversion	-1.9	1.04403	[-3, -3, -1, -2, 0, -3, -1, -2, -1, -3]
aversions	-1.1	1.13578	[-2, -1, -2, -2, -2, 1, -1, -2, 1, -1]
aversive	-1.6	0.66332	[-2, -1, -1, -1, -2, -2, -1, -2, -3, -1]
aversively	-0.8	1.53623	[-3, -1, -2, -1, 1, -2, 2, -2, 1, -1]
avert	-0.7	0.78102	[-1, 0, -2, -1, -1, 1, -1, 0, -1, -1]
averted	-0.3	1.00499	[-1, 1, 0, 0, 1, 0, -2, 0, 0, -2]
averts	-0.4	1.0198	[-2, -2, -1, -1, 0, 0, 1, 0, 1, 0]
avid	1.2	0.87178	[-1, 2, 2, 1, 1, 1, 2, 2, 1, 1]
avoid	-1.2	0.6	[-1, -1, -1, -1, -2, -2, -1, -2, 0, -1]
avoidance	-1.7	0.45826	[-2, -2, -1, -1, -1, -2, -2, -2, -2, -2]
avoidances	-1.1	0.53852	[-1, -1, -1, -1, -2, 0, -1, -2, -1, -1]
avoided	-1.4	0.4899	[-2, -1, -2, -1, -1, -1, -2, -1, -2, -1]
avoider	-1.8	0.6	[-2, -1, -3, -1, -2, -2, -2, -1, -2, -2]
avoiders	-1.4	0.66332	[-2, -2, -1, -2, -1, -1, 0, -1, -2, -2]
avoiding	-1.4	0.91652	[-2, 1, -2, -2, -1, -2, -1, -1, -2, -2]
avoids	-0.7	0.45826	[-1, -1, -1, -1, -1, -1, 0, 0, 0, -1]
await	0.4	0.4899	[0, 0, 0, 1, 0, 1, 0, 1, 1, 0]
awaited	-0.1	0.83066	[1, 0, 0, 0, 1, -1, 0, 0, -2, 0]
awaits	0.3	0.78102	[0, 0, 0, 1, 2, 1, 0, 0, -1, 0]
award	2.5	0.92195	[2, 1, 1, 3, 3, 2, 4, 3, 3, 3]
awardable	2.4	0.8	[3, 3, 3, 1, 3, 1, 2, 3, 2, 3]
awarded	1.7	0.78102	[2, 0, 1, 3, 2, 2, 2, 1, 2, 2]
awardee	1.8	0.6	[2, 2, 1, 3, 2, 2, 1, 1, 2, 2]
awardees	1.2	0.74833	[1, 1, 1, 1, 0, 1, 1, 1, 3, 2]
awarder	0.9	1.04403	[2, 0, 1, 3, 0, 2, 1, 0, 0, 0]
awarders	1.3	1.18743	[2, 1, 0, 2, 2, 0, 0, 4, 1, 1]
awarding	1.9	0.7	[3, 2, 1, 2, 1, 2, 3, 1, 2, 2]
awards	2.0	0.44721	[2, 2, 2, 2, 1, 2, 2, 3, 2, 2]
awesome	3.1	0.83066	[3, 4, 2, 3, 2, 2, 4, 4, 4, 3]
awful	-2.0	2.04939	[-2, -2, -3, -3, -2, -3, 4, -3, -3, -3]
awkward	-0.6	1.56205	[-2, -1, -1, -1, -1, -1, -1, -1, 4, -1]
awkwardly	-1.3	0.45826	[-1, -1, -2, -1, -1, -1, -1, -2, -2, -1]
awkwardness	-0.7	1.41774	[-1, -2, -2, -1, -2, 2, -1, -1, 2, -1]
axe	-0.4	0.8	[-2, 0, 0, 0, 0, 0, -1, -1, -1, 1]
axed	-1.3	0.78102	[-1, -2, 0, -3, -1, -2, -1, -1, -1, -1]
backed	0.1	0.3	[0, 0, 1, 0, 0, 0, 0, 0, 0, 0]
backing	0.1	0.83066	[1, 1, -1, 0, 0, 0, -1, 1, -1, 1]
backs	-0.2	0.4	[0, 0, -1, 0, 0, 0, 0, -1, 0, 0]
bad	-2.5	0.67082	[-3, -2, -4, -3, -2, -2, -3, -2, -2, -2]
badass	1.4	1.26491	[1, 3, 2, 0, -1, 1, 3, 2, 1, 2]
badly	-2.1	0.7	[-2, -3, -2, -1, -3, -2, -3, -2, -1, -2]
bailout	-0.4	1.35647	[-1, 0, 0, 2, -2, -1, -2, 2, -1, -1]
bamboozle	-1.5	1.0247	[-3, -2, -2, -1, -2, -2, 1, -1, -1, -2]
bamboozled	-1.5	1.11803	[-1, 0, -2, -4, -2, -1, -2, -1, 0, -2]
bamboozles	-1.5	1.0247	[-1, 0, -2, -4, -2, -1, -2, -1, -1, -1]
ban	-2.6	1.0198	[-4, -3, -4, -3, -2, -1, -3, -2, -1, -3]
banish	-1.9	0.9434	[-2, -2, -2, -2, -1, -3, -1, -1, -1, -4]
bankrupt	-2.6	1.0198	[-4, -4, -2, -2, -4, -3, -2, -2, -1, -2]
bankster	-2.1	0.53852	[-3, -1, -2, -2, -2, -2, -2, -3, -2, -2]
banned	-2.0	1.0	[-2, -1, -1, -1, -2, -2, -4, -3, -3, -1]
bargain	0.8	1.16619	[1, 1, 1, 1, 0, 1, 2, 3, -1, -1]
barrier	-0.5	0.92195	[-2, 0, 0, -2, -1, -1, 1, 0, 0, 0]
bashful	-0.1	1.13578	[-1, 2, -1, 0, -1, 2, 0, 0, -1, -1]
bashfully	0.2	0.9798	[0, 0, 0, -1, 1, 1, 1, 1, -2, 1]
bashfulness	-0.8	0.9798	[-2, -1, 1, 1, -1, -2, -1, -1, -1, -1]
bastard	-2.5	0.67082	[-2, -4, -2, -3, -2, -2, -3, -3, -2, -2]
bastardies	-1.8	0.87178	[-2, -1, -3, -2, -2, -2, -1, 0, -2, -3]
bastardise	-2.1	0.83066	[-2, -1, -4, -2, -2, -3, -2, -2, -2, -1]
bastardised	-2.3	0.9	[-3, -2, -3, -1, -2, -3, -4, -1, -2, -2]
bastardises	-2.3	1.18743	[-1, -4, -2, -3, -3, 0, -2, -4, -2, -2]
bastardising	-2.6	0.8	[-3, -2, -3, -2, -2, -1, -3, -4, -3, -3]
bastardization	-2.4	1.28062	[-1, -3, -4, -4, -2, -2, -2, 0, -2, -4]
bastardizations	-2.1	0.7	[-2, -1, -3, -3, -2, -2, -3, -1, -2, -2]
bastardize	-2.4	0.66332	[-2, -2, -3, -2, -2, -3, -4, -2, -2, -2]
bastardized	-2.0	0.7746	[-2, -1, -1, -2, -3, -2, -3, -2, -1, -3]
bastardizes	-1.8	0.87178	[-2, -1, -1, -2, -2, -2, -3, -3, 0, -2]
bastardizing	-2.3	0.9	[-2, -2, -1, -4, -3, -2, -1, -2, -3, -3]
bastardly	-2.7	0.64031	[-3, -3, -2, -2, -3, -2, -2, -4, -3, -3]
bastards	-3.0	0.63246	[-4, -2, -3, -3, -4, -3, -3, -3, -3, -2]
bastardy	-2.7	1.1	[-4, -3, -2, -2, -4, -3, -3, -3, -3, 0]
battle	-1.6	1.28062	[-1, -3, 0, -3, -2, -3, -2, -2, 1, -1]
battled	-1.2	0.87178	[0, 0, -2, 0, -2, -1, -2, -1, -2, -2]
battlefield	-1.6	0.8	[-2, -2, 0, -1, -2, -1, -3, -2, -1, -2]
battlefields	-0.9	1.22066	[-1, -1, 0, 0, -4, -1, 0, 0, 0, -2]
battlefront	-1.2	0.87178	[-1, 0, -2, -1, 0, -3, -1, -2, -1, -1]
battlefronts	-0.8	1.16619	[0, 0, -2, -1, 0, -3, -1, 1, -2, 0]
battleground	-1.7	0.78102	[-2, 0, -2, -2, -1, -2, -2, -3, -1, -2]
battlegrounds	-0.6	1.35647	[2, -2, 0, -1, 0, -2, -2, -2, 0, 1]
battlement	-0.4	0.8	[0, -1, 0, -1, 0, -2, 0, 1, 0, -1]
battlements	-0.4	0.66332	[0, 0, 0, 0, 0, -1, -2, 0, -1, 0]
battler	-0.8	1.4	[2, 0, -2, 0, -2, 1, -2, -1, -2, -2]
battlers	-0.2	0.9798	[-1, 0, 2, -2, 0, 0, 0, -1, 0, 0]
battles	-1.6	0.4899	[-1, -1, -2, -1, -2, -2, -2, -1, -2, -2]
battleship	-0.1	1.3	[2, -3, -1, -1, 0, 0, 1, 1, 0, 0]
battleships	-0.5	0.80623	[-2, 0, 0, 0, 0, -1, -2, 0, 0, 0]
battlewagon	-0.3	0.64031	[0, 0, -1, -2, 0, 0, 0, 0, 0, 0]
battlewagons	-0.5	0.67082	[0, 0, 0, -1, -2, -1, 0, -1, 0, 0]
battling	-1.1	1.04403	[0, -1, -2, -2, -1, 1, -2, 0, -2, -2]
beaten	-1.8	0.6	[-1, -2, -2, -2, -3, -2, -2, -2, -1, -1]
beatific	1.8	1.6	[3, 0, 2, 4, -2, 2, 2, 2, 2, 3]
beating	-2.0	0.63246	[-2, -3, -2, -2, -1, -1, -2, -3, -2, -2]
beaut	1.6	1.2	[2, 2, 2, 0, 1, -1, 2, 3, 3, 2]
beauteous	2.5	1.0247	[2, 1, 4, 3, 3, 2, 1, 4, 2, 3]
beauteously	2.6	0.8	[2, 3, 3, 3, 2, 1, 3, 4, 2, 3]
beauteousness	2.7	1.00499	[1, 3, 4, 3, 4, 1, 2, 3, 3, 3]
beautician	1.2	0.9798	[0, 0, 3, 2, 2, 0, 1, 1, 1, 2]
beauticians	0.4	0.66332	[0, 1, 0, 0, 0, 0, 1, 0, 2, 0]
beauties	2.4	0.8	[2, 3, 3, 3, 3, 1, 2, 1, 3, 3]
beautification	1.9	0.7	[2, 2, 2, 1, 2, 1, 3, 1, 2, 3]
beautifications	2.4	0.8	[3, 2, 3, 3, 1, 3, 2, 3, 1, 3]
beautified	2.1	0.7	[2, 2, 3, 1, 2, 2, 3, 1, 2, 3]
beautifier	1.7	0.64031	[2, 1, 2, 1, 2, 1, 3, 1, 2, 2]
beautifiers	1.7	0.78102	[3, 3, 1, 2, 1, 2, 2, 1, 1, 1]
beautifies	1.8	0.74833	[2, 1, 2, 1, 2, 1, 3, 1, 2, 3]
beautiful	2.9	0.7	[2, 3, 2, 3, 2, 3, 4, 4, 3, 3]
beautifuler	2.1	0.83066	[2, 0, 2, 2, 3, 2, 2, 2, 3, 3]
beautifulest	2.6	0.8	[3, 3, 3, 3, 2, 2, 4, 2, 1, 3]
beautifully	2.7	0.64031	[3, 3, 2, 2, 3, 3, 2, 2, 4, 3]
beautifulness	2.6	0.8	[3, 3, 3, 2, 3, 4, 3, 2, 2, 1]
beautify	2.3	0.45826	[2, 3, 3, 2, 2, 3, 2, 2, 2, 2]
beautifying	2.3	0.78102	[1, 2, 1, 3, 2, 2, 3, 3, 3, 3]
beauts	1.7	0.78102	[1, 2, 0, 3, 1, 2, 2, 2, 2, 2]
beauty	2.8	0.74833	[3, 3, 2, 3, 4, 4, 2, 2, 3, 2]
belittle	-1.9	0.53852	[-2, -2, -2, -1, -2, -2, -1, -2, -3, -2]
belittled	-2.0	1.0	[-3, -2, -3, -3, -2, -3, -1, -1, -2, 0]
beloved	2.3	0.45826	[2, 2, 3, 2, 2, 2, 2, 3, 3, 2]
benefic	1.4	0.4899	[2, 2, 1, 1, 1, 2, 2, 1, 1, 1]
benefice	0.4	0.66332	[0, 2, 0, 1, 0, 0, 1, 0, 0, 0]
beneficed	1.1	0.7	[1, 1, 1, 0, 2, 0, 1, 1, 2, 2]
beneficence	2.8	0.87178	[1, 4, 3, 4, 2, 2, 3, 3, 3, 3]
beneficences	1.5	0.67082	[1, 1, 2, 2, 1, 1, 1, 3, 2, 1]
beneficent	2.3	0.45826	[3, 2, 3, 2, 2, 2, 2, 3, 2, 2]
beneficently	2.2	0.6	[3, 2, 3, 3, 2, 2, 1, 2, 2, 2]
benefices	1.1	0.83066	[1, 1, 1, 0, 1, 0, 1, 1, 2, 3]
beneficial	1.9	0.53852	[2, 2, 1, 2, 2, 1, 3, 2, 2, 2]
beneficially	2.4	0.8	[3, 3, 2, 2, 2, 1, 3, 4, 2, 2]
beneficialness	1.7	0.64031	[2, 1, 2, 2, 1, 1, 2, 2, 1, 3]
beneficiaries	1.8	1.16619	[0, 1, 2, 1, 3, 4, 3, 1, 2, 1]
beneficiary	2.1	0.83066	[1, 3, 2, 2, 2, 1, 3, 3, 1, 3]
beneficiate	1.0	1.18322	[0, 0, 1, 3, 1, 0, 2, 0, 3, 0]
beneficiation	0.4	1.0198	[2, 2, 0, -1, 1, 0, -1, 0, 0, 1]
benefit	2.0	0.63246	[2, 3, 1, 2, 2, 3, 2, 1, 2, 2]
benefits	1.6	0.4899	[2, 2, 2, 1, 2, 1, 2, 2, 1, 1]
benefitted	1.7	0.64031	[2, 2, 1, 2, 2, 2, 2, 2, 0, 2]
benefitting	1.9	0.7	[1, 2, 2, 3, 1, 1, 2, 3, 2, 2]
benevolence	1.7	1.1	[2, 1, 3, 2, 2, 1, 2, 2, -1, 3]
benevolences	1.9	1.64012	[3, 2, -1, -1, 3, 1, 3, 4, 2, 3]
benevolent	2.7	0.78102	[2, 2, 3, 2, 4, 2, 3, 2, 4, 3]
benevolently	1.4	1.11355	[2, 1, 2, 2, 1, -1, 2, 3, 0, 2]
benevolentness	1.2	1.249	[2, 2, 1, -1, 2, 2, 3, -1, 1, 1]
benign	1.3	0.9	[1, 3, 2, 2, 1, 1, 2, 0, 0, 1]
benignancy	0.6	1.2	[2, -1, -2, 1, 0, 1, 1, 2, 1, 1]
benignant	2.2	0.9798	[2, 2, 2, 2, 2, 2, 4, 0, 3, 3]
benignantly	1.1	1.3	[3, 2, 3, 0, 1, 1, -1, 2, 0, 0]
benignities	0.9	0.9434	[-1, 2, 1, 0, 1, 1, 2, 2, 1, 0]
benignity	1.3	1.18743	[2, -2, 2, 2, 2, 1, 2, 1, 1, 2]
benignly	0.2	1.07703	[0, -1, 1, 1, 1, 0, 2, 0, -2, 0]
bereave	-2.1	1.13578	[0, -2, -2, -3, -3, -4, -3, -2, -1, -1]
bereaved	-2.1	0.9434	[-2, -2, -2, -1, -2, -1, -4, -1, -3, -3]
bereaves	-1.9	1.22066	[0, -3, 0, -1, -3, -2, -3, -1, -3, -3]
bereaving	-1.3	1.84662	[-3, -4, -3, 1, -2, 0, -3, -1, 1, 1]
best	3.2	0.6	[2, 4, 4, 3, 4, 3, 3, 3, 3, 3]
betray	-3.2	0.6	[-3, -4, -4, -3, -2, -3, -4, -3, -3, -3]
betrayal	-2.8	0.74833	[-3, -4, -4, -2, -3, -2, -3, -3, -2, -2]
betrayed	-3.0	0.63246	[-2, -3, -3, -3, -4, -4, -3, -3, -2, -3]
betraying	-2.5	0.67082	[-2, -2, -3, -2, -3, -2, -4, -2, -2, -3]
betrays	-2.5	0.67082	[-2, -3, -3, -2, -2, -2, -4, -2, -3, -2]
better	1.9	0.7	[2, 1, 2, 1, 1, 3, 2, 2, 3, 2]
bias	-0.4	1.11355	[-1, -2, 0, -2, -1, 1, -1, 1, 0, 1]
biased	-1.1	0.83066	[-2, -2, -1, -1, -1, -1, -1, 1, -2, -1]
bitch	-2.8	0.87178	[-1, -4, -2, -4, -3, -2, -3, -3, -3, -3]
bitched	-2.6	1.0198	[-1, -3, -2, -3, -2, -1, -4, -3, -3, -4]
bitcheries	-2.3	0.78102	[-2, -2, -2, -4, -2, -2, -3, -1, -3, -2]
bitchery	-2.7	1.18743	[-2, -2, -4, -2, -4, -4, -1, -1, -3, -4]
bitches	-2.9	0.9434	[-2, -1, -3, -3, -2, -4, -4, -3, -3, -4]
bitchier	-2.0	0.63246	[-2, -3, -1, -2, -3, -1, -2, -2, -2, -2]
bitchiest	-3.0	0.7746	[-2, -4, -2, -3, -4, -3, -3, -4, -2, -3]
bitchily	-2.6	1.11355	[-4, -4, -2, -2, -1, -4, -1, -2, -3, -3]
bitchiness	-2.6	0.66332	[-3, -3, -2, -2, -3, -3, -1, -3, -3, -3]
bitching	-1.1	1.64012	[-2, 2, -2, -1, 2, -1, -2, -2, -3, -2]
bitchy	-2.3	1.00499	[-4, -1, -2, -3, -3, -2, -1, -1, -3, -3]
bitter	-1.8	0.4	[-2, -2, -2, -1, -2, -2, -1, -2, -2, -2]
bitterbrush	-0.2	0.74833	[0, 0, 0, 0, -2, 1, 0, 0, -1, 0]
bitterbrushes	-0.6	0.8	[-1, 0, -2, -1, -2, 0, 0, 0, 0, 0]
bittered	-1.8	1.07703	[-1, -1, -3, -1, -2, -4, -2, 0, -2, -2]
bitterer	-1.9	1.04403	[-1, -2, -3, -1, -1, -4, -3, -1, -2, -1]
bitterest	-2.3	1.41774	[-4, -4, -2, -1, 1, -2, -3, -3, -2, -3]
bittering	-1.2	0.87178	[0, 0, -1, -2, 0, -2, -1, -2, -2, -2]
bitterish	-1.6	0.8	[0, -2, -1, -1, -2, -2, -2, -1, -3, -2]
bitterly	-2.0	0.63246	[-2, -2, -1, -1, -2, -2, -3, -2, -2, -3]
bittern	-0.2	0.6	[0, 0, -2, 0, 0, 0, 0, 0, 0, 0]
bitterness	-1.7	0.45826	[-2, -2, -1, -2, -1, -2, -1, -2, -2, -2]
bitterns	-0.4	1.11355	[0, 0, 0, -3, 0, 0, 0, 1, 0, -2]
bitterroots	-0.2	0.4	[0, 0, 0, -1, -1, 0, 0, 0, 0, 0]
bitters	-0.4	0.4899	[-1, -1, -1, 0, 0, 0, 0, -1, 0, 0]
bittersweet	-0.3	0.64031	[0, -1, 0, 0, 0, 0, 0, 0, -2, 0]
bittersweetness	-0.6	0.91652	[0, 0, 0, -2, 0, -2, 0, 0, -2, 0]
bittersweets	-0.2	0.9798	[-2, 1, 0, 0, 0, -2, 0, 0, 0, 1]
bitterweeds	-0.5	0.67082	[0, -2, 0, -1, -1, 0, 0, -1, 0, 0]
bizarre	-1.3	1.00499	[-2, 0, 0, -2, 0, -1, -3, -2, -1, -2]
blah	-0.4	1.49666	[-2, -1, -1, -1, -1, -1, -1, 3, 2, -1]
blam	-0.2	1.16619	[-1, 0, 0, -1, -1, -2, -1, 1, 2, 1]
blamable	-1.8	0.4	[-2, -2, -2, -2, -1, -1, -2, -2, -2, -2]
blamably	-1.8	0.4	[-2, -2, -2, -2, -1, -1, -2, -2, -2, -2]
blame	-1.4	1.42829	[-4, -2, -2, -1, -1, -1, -2, 2, -2, -1]
blamed	-2.1	0.53852	[-2, -2, -2, -2, -3, -2, -2, -2, -3, -1]
blameful	-1.7	0.45826	[-2, -2, -2, -2, -2, -2, -1, -1, -2, -1]
blamefully	-1.6	0.66332	[-1, -2, -1, -1, -2, -1, -1, -2, -2, -3]
blameless	0.7	1.73494	[3, 1, 2, 3, -2, 1, -1, 1, 1, -2]
blamelessly	0.9	1.37477	[2, 0, 2, 0, 1, -1, 1, 4, 0, 0]
blamelessness	0.6	1.35647	[0, 2, 1, 2, 1, 0, 1, -3, 1, 1]
blamer	-2.1	0.83066	[-2, -2, -1, -2, -3, -3, -3, -1, -1, -3]
blamers	-2.0	0.63246	[-3, -2, -2, -3, -1, -2, -2, -1, -2, -2]
blames	-1.7	0.45826	[-2, -2, -1, -2, -2, -2, -2, -1, -1, -2]
blameworthiness	-1.6	0.66332	[-2, -2, -1, -2, -2, -1, -3, -1, -1, -1]
blameworthy	-2.3	0.78102	[-3, -3, -2, -2, -2, -1, -1, -3, -3, -3]
blaming	-2.2	0.6	[-2, -3, -1, -3, -2, -2, -3, -2, -2, -2]
bless	1.8	0.6	[3, 2, 2, 1, 2, 2, 1, 2, 2, 1]
blessed	2.9	0.3	[2, 3, 3, 3, 3, 3, 3, 3, 3, 3]
blesseder	2.0	0.63246	[3, 3, 2, 2, 1, 1, 2, 2, 2, 2]
blessedest	2.8	0.87178	[2, 4, 1, 4, 3, 3, 2, 3, 3, 3]
blessedly	1.7	1.1	[2, 2, 1, -1, 3, 2, 3, 1, 2, 2]
blessedness	1.6	1.35647	[2, 2, 2, 2, 2, 3, 3, -1, -1, 2]
blesser	2.6	0.66332	[1, 3, 2, 3, 3, 3, 2, 3, 3, 3]
blessers	1.9	0.7	[2, 2, 1, 2, 2, 2, 3, 1, 3, 1]
blesses	2.6	0.66332	[1, 3, 3, 3, 3, 3, 2, 3, 2, 3]
blessing	2.2	1.07703	[3, 1, 0, 3, 1, 3, 2, 3, 3, 3]
blessings	2.5	0.92195	[3, 3, 3, 2, 1, 3, 2, 3, 4, 1]
blind	-1.7	1.00499	[-4, -1, -1, -2, -1, -1, -3, -2, -1, -1]
bliss	2.7	0.78102	[3, 3, 3, 2, 1, 2, 4, 3, 3, 3]
blissful	2.9	0.83066	[4, 4, 2, 3, 3, 3, 1, 3, 3, 3]
blithe	1.2	1.16619	[2, 2, -1, 1, 1, 2, 2, 2, -1, 2]
block	-1.9	1.13578	[-3, -2, -1, -2, 0, 0, -3, -2, -3, -3]
blockbuster	2.9	0.9434	[3, 4, 3, 2, 3, 4, 3, 2, 1, 4]
blocked	-1.1	1.13578	[-1, 0, 0, -1, -2, -1, -1, -4, -1, 0]
blocking	-1.6	0.91652	[-1, -1, -1, -1, -2, -2, -4, -1, -2, -1]
blocks	-0.9	1.13578	[-1, 0, -1, -2, -2, -2, -1, -1, 2, -1]
bloody	-1.9	0.7	[-2, -2, -2, 0, -2, -2, -3, -2, -2, -2]
blurry	-0.4	1.28062	[-1, -1, -1, -1, 2, -2, -1, 2, 0, -1]
bold	1.6	0.66332	[2, 2, 2, 2, 1, 2, 0, 2, 1, 2]
bolder	1.2	0.6	[2, 1, 1, 1, 1, 2, 1, 2, 0, 1]
boldest	1.6	1.11355	[1, 3, 2, 3, 0, 0, 2, 3, 1, 1]
boldface	0.3	0.64031	[1, 0, 0, 0, 0, 0, 0, 2, 0, 0]
boldfaced	-0.1	1.22066	[0, 0, 0, 2, -1, -2, 2, -1, -1, 0]
boldfaces	0.1	1.3	[0, 0, 0, 2, -2, -2, 2, 1, 0, 0]
boldfacing	0.1	0.7	[0, 0, -1, 2, 0, 0, 0, 0, 0, 0]
boldly	1.5	1.62788	[3, -2, -1, 1, 2, 3, 2, 3, 2, 2]
boldness	1.5	1.0247	[0, 1, 3, 1, 2, 0, 3, 1, 2, 2]
boldnesses	0.9	0.83066	[0, 0, 1, 0, 2, 1, 1, 2, 0, 2]
bolds	1.3	0.78102	[2, 2, 1, 1, 0, 2, 0, 2, 1, 2]
bomb	-2.2	0.87178	[-2, -2, -1, -3, -4, -3, -2, -1, -2, -2]
bonus	2.5	0.67082	[2, 2, 2, 3, 4, 3, 2, 2, 3, 2]
bonuses	2.6	0.91652	[2, 2, 3, 4, 3, 4, 3, 1, 2, 2]
boost	1.7	0.64031	[1, 1, 2, 2, 2, 3, 1, 1, 2, 2]
boosted	1.5	1.5	[-1, 1, 0, 2, 1, 2, 3, 3, 4, 0]
boosting	1.4	0.91652	[1, 1, 3, 0, 2, 2, 0, 2, 1, 2]
boosts	1.3	0.9	[1, 1, 1, 1, 3, 0, 1, 1, 3, 1]
bore	-1.0	0.44721	[-1, -2, 0, -1, -1, -1, -1, -1, -1, -1]
boreal	-0.3	0.9	[0, 0, 0, 0, 1, -2, 0, 0, -2, 0]
borecole	-0.2	0.74833	[1, 0, 0, 0, -1, -2, 0, 0, 0, 0]
borecoles	-0.3	0.45826	[-1, 0, 0, 0, 0, 0, -1, 0, -1, 0]
bored	-1.1	0.9434	[-2, -1, -2, -1, 0, 0, -3, 0, -1, -1]
boredom	-1.3	0.45826	[-1, -1, -1, -1, -2, -1, -1, -2, -2, -1]
boredoms	-1.1	0.83066	[-1, -1, -1, -2, 1, -1, -2, -1, -1, -2]
boreen	0.1	0.3	[0, 0, 0, 0, 0, 1, 0, 0, 0, 0]
boreens	0.2	0.6	[0, 0, 0, 2, 0, 0, 0, 0, 0, 0]
boreholes	-0.2	0.74833	[0, 0, 0, 0, 0, 1, -1, 0, -2, 0]
borer	-0.4	0.4899	[0, -1, 0, 0, -1, -1, 0, 0, 0, -1]
borers	-1.2	0.9798	[-1, 0, -2, -1, -1, -3, -2, 0, -2, 0]
bores	-1.3	0.78102	[-2, -1, -2, -1, -1, -1, -3, 0, -1, -1]
borescopes	-0.1	0.83066	[-1, 0, -1, 2, 0, 0, 0, 0, -1, 0]
boresome	-1.3	0.45826	[-2, -1, -1, -1, -1, -1, -2, -1, -2, -1]
boring	-1.3	0.45826	[-1, -1, -1, -1, -1, -2, -1, -1, -2, -2]
bother	-1.4	0.91652	[-1, -1, -1, -2, -3, -3, -1, -1, -1, 0]
botheration	-1.7	0.64031	[-1, -1, -1, -2, -2, -1, -2, -2, -2, -3]
botherations	-1.3	0.64031	[-2, -2, -2, -1, -2, 0, -1, -1, -1, -1]
bothered	-1.3	0.45826	[-1, -1, -2, -1, -2, -1, -1, -1, -1, -2]
bothering	-1.6	0.4899	[-2, -1, -2, -2, -1, -1, -1, -2, -2, -2]
bothers	-0.8	0.9798	[-1, -2, -1, -1, 2, -1, -1, -1, -1, -1]
bothersome	-1.3	0.45826	[-2, -1, -1, -1, -1, -1, -2, -2, -1, -1]
boycott	-1.3	0.45826	[-2, -1, -1, -1, -1, -2, -1, -1, -2, -1]
boycotted	-1.7	0.64031	[-1, -2, -2, -3, -1, -1, -2, -2, -2, -1]
boycotting	-1.7	0.64031	[-2, -2, -2, 0, -2, -1, -2, -2, -2, -2]
boycotts	-1.4	0.91652	[-2, -2, -2, -2, -1, -2, -1, 1, -1, -2]
brainwashing	-1.5	1.28452	[-2, -2, -2, -3, -1, -2, 2, -1, -2, -2]
brave	2.4	0.8	[2, 3, 4, 3, 1, 3, 2, 2, 2, 2]
braved	1.9	0.83066	[3, 1, 3, 1, 1, 2, 3, 2, 2, 1]
bravely	2.3	0.78102	[1, 3, 2, 2, 2, 4, 2, 2, 2, 3]
braver	2.4	0.8	[3, 2, 2, 1, 4, 2, 3, 3, 2, 2]
braveries	2.0	1.0	[2, 4, 2, 3, 1, 1, 2, 3, 1, 1]
bravery	2.2	0.74833	[1, 2, 2, 2, 3, 2, 3, 3, 1, 3]
braves	1.9	0.83066	[3, 1, 3, 1, 2, 2, 3, 2, 1, 1]
bravest	2.3	0.64031	[1, 3, 3, 2, 3, 2, 3, 2, 2, 2]
breathtaking	2.0	1.26491	[3, 1, 3, 2, -1, 1, 2, 3, 3, 3]
bribe	-0.8	1.98997	[-3, 0, -1, -2, -1, -2, -4, 1, 3, 1]
bright	1.9	0.7	[2, 2, 1, 2, 1, 2, 1, 3, 3, 2]
brighten	1.9	0.7	[2, 1, 1, 2, 3, 2, 1, 2, 2, 3]
brightened	2.1	0.83066	[2, 3, 1, 1, 2, 2, 3, 1, 3, 3]
brightener	1.0	1.18322	[0, 0, 0, 1, 0, 1, 2, 0, 3, 3]
brighteners	1.0	0.89443	[0, 1, 0, 1, 1, 3, 0, 1, 2, 1]
brightening	2.5	0.92195	[2, 3, 2, 1, 2, 3, 4, 4, 2, 2]
brightens	1.5	0.5	[2, 1, 1, 2, 2, 1, 2, 2, 1, 1]
brighter	1.6	0.66332	[1, 1, 1, 2, 2, 2, 1, 2, 1, 3]
brightest	3.0	0.63246	[3, 3, 2, 3, 4, 3, 2, 3, 4, 3]
brightly	1.5	0.67082	[2, 3, 1, 2, 1, 1, 2, 1, 1, 1]
brightness	1.6	0.91652	[2, 2, 1, 1, 1, 3, 3, 0, 2, 1]
brightnesses	1.4	0.91652	[2, 3, 1, 2, 1, 1, 0, 0, 2, 2]
brights	0.4	0.66332	[0, 0, 2, 0, 0, 1, 0, 0, 1, 0]
brightwork	1.1	0.83066	[1, 0, 1, 2, 1, 0, 3, 1, 1, 1]
brilliance	2.9	0.83066	[4, 3, 2, 4, 4, 3, 2, 3, 2, 2]
brilliances	2.9	0.83066	[3, 4, 3, 4, 4, 2, 3, 2, 2, 2]
brilliancies	2.3	1.18743	[1, 4, 1, 3, 3, 2, 1, 3, 4, 1]
brilliancy	2.6	1.0198	[4, 3, 2, 4, 2, 3, 1, 3, 1, 3]
brilliant	2.8	0.6	[2, 3, 3, 2, 3, 3, 4, 2, 3, 3]
brilliantine	0.8	1.16619	[-1, 3, 1, 0, 1, 0, 2, 0, 2, 0]
brilliantines	2.0	1.34164	[0, 1, 4, 2, 3, 1, 3, 0, 3, 3]
brilliantly	3.0	0.44721	[3, 2, 3, 3, 3, 3, 3, 3, 4, 3]
brilliants	1.9	0.83066	[3, 1, 2, 1, 2, 1, 3, 2, 1, 3]
brisk	0.6	0.8	[0, 0, 0, 0, 1, 1, 0, 2, 0, 2]
broke	-1.8	0.4	[-2, -2, -2, -2, -1, -2, -2, -1, -2, -2]
broken	-2.1	0.53852	[-2, -2, -2, -2, -3, -2, -1, -3, -2, -2]
brooding	0.1	1.3	[3, 0, -1, -1, -1, 1, 1, -1, 1, -1]
brutal	-3.1	0.7	[-3, -3, -4, -2, -3, -4, -3, -4, -3, -2]
brutalise	-2.7	1.1	[-4, -3, -3, -4, -3, -2, -2, -3, 0, -3]
brutalised	-2.9	0.83066	[-3, -3, -2, -3, -3, -4, -4, -1, -3, -3]
brutalises	-3.2	0.4	[-3, -3, -3, -3, -3, -4, -4, -3, -3, -3]
brutalising	-2.8	0.74833	[-3, -3, -4, -3, -2, -3, -3, -3, -1, -3]
brutalities	-2.6	1.0198	[-4, -2, -2, -4, -2, -4, -2, -3, -1, -2]
brutality	-3.0	0.63246	[-2, -3, -4, -2, -3, -3, -3, -4, -3, -3]
brutalization	-2.1	2.16564	[-3, -2, -4, -2, -4, -4, 2, -3, 2, -3]
brutalizations	-2.3	0.64031	[-2, -2, -3, -2, -1, -3, -3, -2, -2, -3]
brutalize	-2.9	0.7	[-3, -4, -3, -3, -2, -2, -3, -4, -2, -3]
brutalized	-2.4	0.4899	[-3, -2, -2, -3, -2, -2, -3, -3, -2, -2]
brutalizes	-3.2	0.6	[-4, -4, -3, -2, -3, -4, -3, -3, -3, -3]
brutalizing	-3.4	0.66332	[-4, -3, -4, -3, -4, -4, -3, -4, -2, -3]
brutally	-3.0	0.44721	[-3, -3, -3, -3, -3, -3, -3, -2, -3, -4]
bullied	-3.1	0.9434	[-4, -4, -4, -2, -2, -4, -4, -3, -2, -2]
bullshit	-2.8	0.6	[-3, -3, -3, -3, -3, -4, -2, -3, -2, -2]
bully	-2.2	1.6	[-2, -3, -3, -4, -2, -1, 2, -3, -3, -3]
bullying	-2.9	0.7	[-3, -2, -3, -2, -4, -2, -3, -3, -4, -3]
bummer	-1.6	0.8	[-3, -1, -1, -1, -3, -1, -1, -2, -2, -1]
buoyant	0.9	0.83066	[0, 1, 1, 2, 1, 0, 0, 2, 0, 2]
burden	-1.9	0.53852	[-2, -2, -1, -2, -3, -2, -1, -2, -2, -2]
burdened	-1.7	0.45826	[-2, -2, -2, -2, -1, -2, -1, -2, -2, -1]
burdener	-1.3	0.45826	[-1, -1, -2, -1, -1, -1, -2, -1, -2, -1]
burdeners	-1.7	1.00499	[-2, -2, -2, -1, -3, -2, 0, 0, -2, -3]
burdening	-1.4	0.66332	[-2, -1, -2, -2, -1, -1, -1, 0, -2, -2]
burdens	-1.5	0.5	[-2, -2, -1, -1, -2, -1, -1, -1, -2, -2]
burdensome	-1.8	0.9798	[-1, -1, -3, -2, -1, -2, -2, -1, -4, -1]
bwahaha	0.4	1.0198	[0, 1, 0, 1, 0, 2, -1, -1, 2, 0]
bwahahah	2.5	0.92195	[3, 4, 2, 2, 2, 3, 1, 2, 2, 4]
calm	1.3	0.78102	[1, 1, 0, 1, 2, 3, 2, 1, 1, 1]
calmative	1.1	0.9434	[3, 2, -1, 1, 1, 1, 1, 1, 1, 1]
calmatives	0.5	0.80623	[-1, 1, 0, 1, 0, 0, 1, 2, 0, 1]
calmed	1.6	0.4899	[2, 2, 2, 1, 1, 1, 2, 1, 2, 2]
calmer	1.5	0.67082	[1, 2, 3, 1, 1, 1, 2, 1, 2, 1]
calmest	1.6	0.8	[3, 2, 2, 2, 1, 1, 0, 2, 1, 2]
calming	1.7	0.78102	[2, 1, 3, 2, 2, 1, 3, 1, 1, 1]
calmly	1.3	0.9	[0, 0, 1, 3, 2, 2, 1, 1, 2, 1]
calmness	1.7	0.9	[1, 1, 1, 2, 2, 2, 1, 4, 1, 2]
calmnesses	1.6	0.4899	[1, 2, 1, 2, 1, 2, 2, 2, 1, 2]
calmodulin	0.2	0.4	[0, 0, 0, 0, 0, 0, 1, 0, 0, 1]
calms	1.3	0.64031	[2, 1, 1, 2, 0, 1, 1, 2, 2, 1]
can't stand	-2.0	0.63246	[-2, -2, -2, -1, -1, -2, -3, -2, -2, -3]
cancel	-1.0	0.63246	[-2, -1, -1, -1, -1, 0, -1, 0, -2, -1]
cancelled	-1.0	0.44721	[-1, -1, -1, -1, 0, -1, -1, -2, -1, -1]
cancelling	-0.8	0.74833	[0, 0, -1, 0, -1, -1, 0, -2, -1, -2]
cancels	-0.9	0.53852	[0, -1, 0, -1, -1, -1, -1, -1, -2, -1]
cancer	-3.4	0.8	[-2, -4, -3, -4, -4, -2, -3, -4, -4, -4]
capable	1.6	0.4899	[1, 2, 2, 2, 1, 1, 2, 2, 1, 2]
captivated	1.6	0.4899	[2, 1, 2, 2, 2, 2, 1, 2, 1, 1]
care	2.2	0.74833	[2, 1, 2, 1, 2, 2, 3, 3, 3, 3]
cared	1.8	0.74833	[1, 2, 1, 3, 1, 2, 2, 2, 3, 1]
carefree	1.7	0.64031	[1, 1, 2, 2, 2, 2, 1, 1, 2, 3]
careful	0.6	1.11355	[3, 0, 0, 0, 1, 0, -1, 2, 1, 0]
carefully	0.5	0.67082	[1, 0, 1, 1, 0, 1, 0, 1, 1, -1]
carefulness	2.0	0.44721	[3, 2, 2, 1, 2, 2, 2, 2, 2, 2]
careless	-1.5	0.5	[-2, -1, -1, -2, -2, -1, -2, -2, -1, -1]
carelessly	-1.0	0.44721	[-1, -1, -1, -2, -1, 0, -1, -1, -1, -1]
carelessness	-1.4	0.4899	[-2, -1, -1, -2, -1, -2, -1, -1, -2, -1]
carelessnesses	-1.6	1.11355	[-4, -2, -2, -3, -1, 0, -1, -1, -1, -1]
cares	2.0	0.7746	[2, 3, 1, 3, 1, 2, 2, 2, 3, 1]
caring	2.2	0.4	[2, 3, 2, 2, 2, 2, 2, 3, 2, 2]
casual	0.8	0.74833	[1, 1, 0, 1, 0, 2, 0, 1, 2, 0]
casually	0.7	1.00499	[1, 0, 0, 0, 1, 0, 0, 3, 2, 0]
casualty	-2.4	0.91652	[-4, -3, -3, -2, -1, -2, -3, -1, -2, -3]
catastrophe	-3.4	0.4899	[-3, -3, -3, -4, -4, -3, -3, -3, -4, -4]
catastrophic	-2.2	2.22711	[-3, -2, -4, -4, -4, -3, -2, -4, 2, 2]
cautious	-0.4	0.66332	[0, 1, -1, 0, 0, 0, -1, -1, -1, -1]
celebrate	2.7	1.00499	[4, 4, 3, 2, 4, 2, 2, 2, 3, 1]
celebrated	2.7	0.78102	[2, 3, 3, 2, 3, 4, 3, 3, 1, 3]
celebrates	2.7	0.64031	[2, 3, 3, 2, 2, 3, 3, 3, 4, 2]
celebrating	2.7	0.64031	[3, 3, 4, 2, 2, 2, 3, 3, 2, 3]
censor	-2.0	1.34164	[0, -3, -2, -3, -3, 0, -4, -1, -1, -3]
censored	-0.6	1.68523	[-1, -1, -1, 2, -3, -2, -1, -1, -1, 3]
censors	-1.2	1.07703	[-1, 0, -3, 0, -1, 0, -1, -2, -1, -3]
certain	1.1	0.7	[1, 0, 2, 0, 2, 2, 1, 1, 1, 1]
certainly	1.4	1.0198	[3, 2, 0, 1, 3, 1, 0, 1, 1, 2]
certainties	0.9	1.44568	[0, -2, 4, 0, 1, 1, 1, 1, 2, 1]
certainty	1.0	0.89443	[2, 1, 0, 1, 0, 0, 2, 2, 2, 0]
chagrin	-1.9	0.53852	[-1, -2, -3, -2, -1, -2, -2, -2, -2, -2]
chagrined	-1.4	1.2	[-1, -2, 2, -1, -2, -2, -2, -2, -2, -2]
challenge	0.3	1.00499	[1, 0, -1, 1, 1, -1, 1, 0, 2, -1]
challenged	-0.4	1.62481	[0, -2, 1, -1, -3, -1, 3, -1, 1, -1]
challenger	0.5	1.43178	[0, 0, 2, -1, -2, 1, 3, 0, 2, 0]
challengers	0.4	1.56205	[0, -2, -1, 1, 1, 2, 3, 2, -1, -1]
challenges	0.3	1.48661	[0, -1, 2, -1, -2, 0, 3, 0, 2, 0]
challenging	0.6	0.91652	[0, 0, 0, 1, 1, -1, 0, 2, 2, 1]
challengingly	-0.6	1.68523	[0, -1, -2, 1, -3, 2, -2, -1, 2, -2]
champ	2.1	0.83066	[2, 2, 2, 3, 2, 3, 2, 0, 3, 2]
champac	-0.2	0.6	[0, 0, -2, 0, 0, 0, 0, 0, 0, 0]
champagne	1.2	1.07703	[1, 2, 2, 3, 0, 2, 0, 0, 2, 0]
champagnes	0.5	0.92195	[0, 0, 0, 0, 0, 1, 1, 3, 0, 0]
champaign	0.2	0.6	[0, 0, 0, 0, 2, 0, 0, 0, 0, 0]
champaigns	0.5	0.67082	[1, 0, 0, 0, 0, 0, 0, 1, 2, 1]
champaks	-0.2	0.6	[0, 0, 0, 0, 0, 0, -2, 0, 0, 0]
champed	1.0	0.63246	[1, 1, 2, 1, 1, 2, 1, 0, 0, 1]
champer	-0.1	0.53852	[0, -1, 1, 0, 0, 0, 0, -1, 0, 0]
champers	0.5	0.67082	[1, 0, 0, 0, 0, 0, 0, 1, 1, 2]
champerties	-0.1	0.83066	[0, -1, 1, 1, 0, 0, 0, 0, -2, 0]
champertous	0.3	0.78102	[0, 0, 0, 1, -1, 2, 1, 0, 0, 0]
champerty	-0.2	1.32665	[-2, -1, 0, -1, 0, 0, 0, -2, 2, 2]
champignon	0.4	0.8	[0, 0, 0, 0, 0, 2, 0, 2, 0, 0]
champignons	0.2	0.6	[0, 2, 0, 0, 0, 0, 0, 0, 0, 0]
champing	0.7	1.34536	[0, 2, 0, 3, 1, 1, 2, 0, -2, 0]
champion	2.9	0.83066	[3, 2, 3, 4, 4, 3, 2, 2, 4, 2]
championed	1.2	1.53623	[2, 1, 3, 1, 1, -3, 2, 2, 1, 2]
championing	1.8	0.9798	[1, 3, 2, 0, 3, 1, 2, 2, 1, 3]
champions	2.4	1.42829	[4, 0, 0, 3, 1, 3, 4, 3, 3, 3]
championship	1.9	1.04403	[3, 1, 1, 3, 2, 1, 3, 3, 0, 2]
championships	2.2	0.74833	[2, 2, 1, 2, 3, 2, 4, 2, 2, 2]
champs	1.8	0.4	[2, 2, 2, 2, 1, 2, 1, 2, 2, 2]
champy	1.0	1.0	[3, 0, 0, 0, 0, 2, 1, 2, 1, 1]
chance	1.0	0.7746	[1, 1, 0, 0, 0, 2, 1, 2, 1, 2]
chances	0.8	0.4	[0, 1, 1, 0, 1, 1, 1, 1, 1, 1]
chaos	-2.7	0.9	[-2, -2, -3, -1, -4, -3, -3, -2, -3, -4]
chaotic	-2.2	1.4	[-3, -2, -1, -2, -3, 1, -2, -2, -4, -4]
charged	-0.8	0.87178	[-1, -2, -2, -1, -1, 0, -1, 1, 0, -1]
charges	-1.1	0.7	[-2, -2, -2, -1, -1, 0, -1, -1, 0, -1]
charitable	1.7	0.64031	[1, 2, 1, 2, 2, 1, 2, 1, 3, 2]
charitableness	1.9	0.9434	[3, 1, 1, 3, 1, 3, 3, 2, 1, 1]
charitablenesses	1.6	1.74356	[2, 2, 3, 4, 1, -1, -2, 3, 2, 2]
charitably	1.4	0.66332	[1, 2, 1, 2, 2, 1, 0, 1, 2, 2]
charities	2.2	0.6	[3, 3, 2, 2, 1, 2, 2, 3, 2, 2]
charity	1.8	0.87178	[1, 3, 2, 2, 2, 1, 2, 0, 2, 3]
charm	1.7	0.78102	[3, 1, 1, 3, 2, 2, 1, 1, 1, 2]
charmed	2.0	0.63246	[3, 1, 2, 2, 2, 3, 1, 2, 2, 2]
charmer	1.9	0.53852	[3, 2, 2, 2, 2, 2, 1, 1, 2, 2]
charmers	2.1	0.83066	[2, 1, 2, 2, 4, 3, 2, 1, 2, 2]
charmeuse	0.3	0.78102	[0, 0, 0, 1, 0, 2, 1, 0, -1, 0]
charmeuses	0.4	0.66332	[0, 0, 1, 0, 1, 0, 0, 0, 0, 2]
charming	2.8	0.4	[3, 3, 3, 3, 3, 3, 2, 3, 2, 3]
charminger	1.5	0.67082	[2, 3, 1, 2, 1, 1, 2, 1, 1, 1]
charmingest	2.4	0.66332	[2, 3, 3, 1, 3, 2, 3, 3, 2, 2]
charmingly	2.2	0.87178	[2, 2, 2, 1, 2, 2, 3, 3, 4, 1]
charmless	-1.8	0.87178	[-3, -1, -3, -1, -1, -1, -2, -1, -3, -2]
charms	1.9	0.7	[1, 2, 3, 2, 1, 2, 3, 1, 2, 2]
chastise	-2.5	0.92195	[-4, -3, -2, -1, -4, -3, -2, -2, -2, -2]
chastised	-2.2	1.16619	[-2, -3, -2, -4, -1, -1, -3, 0, -3, -3]
chastises	-1.7	1.61555	[-3, -3, -3, -1, 1, -2, 1, -1, -2, -4]
chastising	-1.7	0.78102	[-2, -3, -2, -2, -2, 0, -1, -1, -2, -2]
cheat	-2.0	0.7746	[-2, -3, -3, -2, -2, -1, -1, -1, -2, -3]
cheated	-2.3	0.64031	[-2, -4, -2, -2, -2, -2, -3, -2, -2, -2]
cheater	-2.5	0.67082	[-2, -4, -2, -3, -2, -2, -3, -2, -3, -2]
cheaters	-1.9	0.83066	[-2, -2, -2, -1, -1, -4, -2, -1, -2, -2]
cheating	-2.6	0.91652	[-2, -3, -3, -2, -4, -4, -3, -2, -1, -2]
cheats	-1.8	0.6	[-3, -1, -2, -1, -2, -1, -2, -2, -2, -2]
cheer	2.3	0.64031	[2, 1, 2, 2, 2, 3, 3, 3, 2, 3]
cheered	2.3	0.78102	[2, 3, 3, 4, 2, 1, 2, 2, 2, 2]
cheerer	1.7	0.45826	[1, 2, 2, 2, 1, 1, 2, 2, 2, 2]
cheerers	1.8	0.87178	[2, 2, 3, 2, 1, 2, 0, 1, 3, 2]
cheerful	2.5	0.67082	[3, 2, 3, 2, 2, 2, 4, 2, 3, 2]
cheerfuller	1.9	0.83066	[3, 3, 2, 3, 2, 1, 1, 2, 1, 1]
cheerfullest	3.2	0.87178	[4, 4, 4, 4, 3, 2, 2, 3, 2, 4]
cheerfully	2.1	0.83066	[3, 2, 2, 2, 1, 3, 1, 3, 1, 3]
cheerfulness	2.1	0.9434	[3, 2, 1, 2, 3, 4, 1, 2, 1, 2]
cheerier	2.6	0.4899	[2, 2, 3, 3, 2, 3, 3, 2, 3, 3]
cheeriest	2.2	0.6	[3, 2, 3, 1, 2, 2, 3, 2, 2, 2]
cheerily	2.5	0.67082	[3, 3, 2, 3, 2, 4, 2, 2, 2, 2]
cheeriness	2.5	0.67082	[3, 2, 4, 2, 3, 2, 3, 2, 2, 2]
cheering	2.3	0.64031	[3, 3, 2, 1, 3, 2, 2, 2, 3, 2]
cheerio	1.2	0.6	[2, 1, 1, 1, 2, 1, 1, 1, 2, 0]
cheerlead	1.7	0.78102	[1, 2, 0, 2, 2, 2, 2, 3, 1, 2]
cheerleader	0.9	0.9434	[1, 1, 0, 2, 1, 0, 0, 1, 0, 3]
cheerleaders	1.2	1.07703	[2, 0, 0, 1, 1, 0, 3, 3, 1, 1]
cheerleading	1.2	1.07703	[2, 2, 0, 0, 1, 0, 3, 2, 0, 2]
cheerleads	1.2	1.07703	[2, 3, 0, 3, 1, 0, 0, 1, 1, 1]
cheerled	1.5	1.11803	[0, 2, 1, 4, 2, 2, 2, 1, 1, 0]
cheerless	-1.7	1.1	[-2, -3, -2, -2, -3, -2, -1, -1, 1, -2]
cheerlessly	-0.8	1.98997	[-2, 4, -1, -2, -1, -2, -2, -2, 2, -2]
cheerlessness	-1.7	1.48661	[-2, -1, -2, -3, -2, -4, -1, 2, -2, -2]
cheerly	2.4	0.66332	[2, 2, 3, 2, 2, 3, 4, 2, 2, 2]
cheers	2.1	1.3	[2, 2, 1, 3, 2, 3, 3, 4, -1, 2]
cheery	2.6	0.66332	[3, 2, 2, 3, 2, 3, 4, 2, 3, 2]
cherish	1.6	1.49666	[0, 3, 3, 3, 2, 2, 2, 1, -2, 2]
cherishable	2.0	1.41421	[-2, 2, 2, 2, 3, 2, 3, 3, 2, 3]
cherished	2.3	0.64031	[3, 2, 2, 3, 2, 2, 1, 3, 2, 3]
cherisher	2.2	0.4	[2, 2, 3, 2, 2, 2, 2, 3, 2, 2]
cherishers	1.9	0.7	[3, 3, 2, 2, 1, 1, 2, 2, 2, 1]
cherishes	2.2	0.74833	[2, 2, 3, 2, 2, 2, 2, 4, 2, 1]
cherishing	2.0	0.7746	[3, 3, 2, 2, 1, 2, 1, 3, 2, 1]
chic	1.1	1.3	[1, 2, 2, -2, 2, 0, 1, 1, 3, 1]
childish	-1.2	0.74833	[-1, -1, -2, -3, -1, 0, -1, -1, -1, -1]
chilling	-0.1	1.92094	[3, -2, 0, 1, -2, -2, -1, -2, 1, 3]
choke	-2.5	0.92195	[-1, -2, -3, -3, -2, -4, -2, -4, -2, -2]
choked	-2.1	1.3	[-4, -3, 0, -2, -1, -3, -3, -2, 0, -3]
chokes	-2.0	0.89443	[-4, -3, -1, -2, -1, -2, -2, -2, -1, -2]
choking	-2.0	1.26491	[-4, -2, -2, -3, -2, -2, -3, -1, 1, -2]
chuckle	1.7	0.45826	[2, 1, 2, 2, 2, 2, 1, 1, 2, 2]
chuckled	1.2	0.9798	[2, 2, 1, 1, 2, 0, 1, 2, -1, 2]
chucklehead	-1.9	0.53852	[-2, -2, -1, -3, -2, -2, -2, -2, -1, -2]
chuckleheaded	-1.3	1.84662	[-3, -4, -2, 0, 3, -1, -2, 0, -2, -2]
chuckleheads	-1.1	0.9434	[-1, -2, 0, -1, -1, -3, 0, 0, -2, -1]
chuckler	0.8	1.07703	[2, 1, -1, 0, 2, 1, 1, 2, -1, 1]
chucklers	1.2	0.87178	[1, 1, 2, 3, 1, 0, 1, 0, 2, 1]
chuckles	1.1	1.13578	[2, 2, -1, 1, 2, 1, 1, 2, -1, 2]
chucklesome	1.1	0.53852	[1, 1, 2, 1, 1, 1, 0, 2, 1, 1]
chuckling	1.4	0.4899	[1, 2, 1, 2, 1, 1, 2, 2, 1, 1]
chucklingly	1.2	0.4	[1, 1, 1, 1, 2, 1, 1, 1, 2, 1]
clarifies	0.9	1.13578	[-2, 1, 0, 2, 1, 2, 2, 1, 1, 1]
clarity	1.7	0.78102	[2, 1, 2, 3, 3, 1, 1, 2, 1, 1]
classy	1.9	0.53852	[1, 2, 2, 1, 3, 2, 2, 2, 2, 2]
clean	1.7	0.78102	[3, 1, 2, 1, 2, 1, 3, 2, 1, 1]
cleaner	0.7	0.78102	[1, 0, 1, 0, 0, 0, 2, 1, 2, 0]
clear	1.6	1.2	[2, 1, 1, 0, 3, 1, 2, 4, 2, 0]
cleared	0.4	0.4899	[0, 0, 1, 1, 0, 0, 0, 0, 1, 1]
clearly	1.7	0.78102	[2, 2, 2, 2, 1, 2, 0, 2, 1, 3]
clears	0.3	0.78102	[0, 1, 0, 0, 0, -1, 1, 2, 0, 0]
clever	2.0	0.7746	[2, 1, 2, 2, 2, 1, 3, 1, 3, 3]
cleverer	2.0	0.44721	[2, 2, 2, 3, 2, 2, 1, 2, 2, 2]
cleverest	2.6	0.91652	[4, 3, 2, 2, 4, 3, 2, 1, 2, 3]
cleverish	1.0	1.18322	[1, 1, 1, 1, 1, 1, 2, 1, -2, 3]
cleverly	2.3	0.45826	[2, 3, 2, 2, 2, 3, 2, 2, 3, 2]
cleverness	2.3	0.9	[2, 4, 2, 2, 1, 3, 3, 3, 1, 2]
clevernesses	1.4	0.66332	[1, 1, 1, 2, 2, 2, 2, 0, 2, 1]
clouded	-0.2	0.9798	[-2, 0, 2, 0, 0, -1, 0, -1, 0, 0]
clueless	-1.5	0.5	[-1, -2, -1, -2, -2, -1, -1, -1, -2, -2]
cock	-0.6	1.49666	[0, 0, -4, 0, 0, 1, 0, -3, 0, 0]
cocksucker	-3.1	0.83066	[-3, -4, -2, -2, -4, -4, -4, -2, -3, -3]
cocksuckers	-2.6	1.42829	[-4, -3, -4, -3, -3, 1, -3, -1, -3, -3]
cocky	-0.5	1.0247	[2, 0, -1, 0, -1, -2, 0, -1, -1, -1]
coerced	-1.5	0.67082	[-1, -2, -2, -2, -1, 0, -1, -2, -2, -2]
collapse	-2.2	0.87178	[-3, -1, -2, -4, -3, -2, -2, -2, -1, -2]
collapsed	-1.1	1.64012	[-1, -2, -2, -1, -2, -2, 2, 2, -3, -2]
collapses	-1.2	0.87178	[-2, -1, -2, 0, -2, 0, 0, -2, -1, -2]
collapsing	-1.2	0.6	[-1, -1, -2, -2, -2, -1, 0, -1, -1, -1]
collide	-0.3	1.61555	[-3, 0, -1, 3, 0, -1, -1, 2, -1, -1]
collides	-1.1	1.22066	[-2, -2, -1, -1, 0, -2, 2, -2, -1, -2]
colliding	-0.5	1.36015	[-2, 2, -1, -1, 0, -1, -2, 2, -1, -1]
collision	-1.5	0.67082	[-1, -1, -2, -1, -2, -1, -1, -3, -2, -1]
collisions	-1.1	0.7	[0, -2, -1, 0, -1, -1, -2, -2, -1, -1]
colluding	-1.2	1.32665	[-1, -1, -2, -2, 0, -3, 2, -2, -1, -2]
combat	-1.4	1.0198	[0, -2, 0, -2, -2, -2, -1, -3, 0, -2]
combats	-0.8	1.16619	[0, -2, -3, -1, 0, 0, 0, -1, 1, -2]
comedian	1.6	1.0198	[1, 0, 2, 3, 2, 0, 3, 1, 2, 2]
comedians	1.2	1.16619	[0, 0, 0, 2, 3, 1, 3, 2, 0, 1]
comedic	1.7	0.64031	[2, 1, 1, 3, 1, 2, 2, 2, 1, 2]
comedically	2.1	0.7	[3, 2, 2, 1, 2, 3, 3, 2, 1, 2]
comedienne	0.6	0.66332	[0, 2, 1, 0, 1, 1, 0, 1, 0, 0]
comediennes	1.6	1.11355	[2, 1, 3, 0, 0, 3, 1, 1, 2, 3]
comedies	1.7	1.00499	[0, 2, 1, 3, 3, 3, 1, 1, 2, 1]
comedo	0.3	0.9	[0, 0, 0, 0, -1, 0, 2, 0, 2, 0]
comedones	-0.8	0.9798	[0, 0, 0, -1, 0, -3, 0, -1, -1, -2]
comedown	-0.8	1.07703	[-1, -1, -1, 0, -2, -1, 2, -1, -2, -1]
comedowns	-0.9	0.53852	[-1, -1, -1, -1, 0, -2, 0, -1, -1, -1]
comedy	1.5	0.67082	[1, 1, 2, 1, 3, 2, 1, 1, 2, 1]
comfort	1.5	0.67082	[1, 3, 1, 2, 1, 1, 2, 1, 1, 2]
comfortable	2.3	0.64031	[1, 2, 3, 2, 2, 3, 3, 3, 2, 2]
comfortableness	1.3	1.48661	[4, 2, 2, 3, 1, 1, 1, -1, -1, 1]
comfortably	1.8	0.74833	[1, 2, 2, 1, 3, 3, 1, 2, 1, 2]
comforted	1.8	0.6	[2, 2, 2, 0, 2, 2, 2, 2, 2, 2]
comforter	1.9	0.53852	[2, 3, 2, 2, 2, 1, 2, 2, 2, 1]
comforters	1.2	0.6	[2, 1, 0, 2, 1, 1, 2, 1, 1, 1]
comforting	1.7	0.64031	[1, 2, 1, 1, 2, 2, 2, 3, 2, 1]
comfortingly	1.7	0.45826	[1, 2, 1, 2, 2, 1, 2, 2, 2, 2]
comfortless	-1.8	0.6	[-3, -2, -1, -2, -1, -2, -1, -2, -2, -2]
comforts	2.1	0.7	[3, 1, 3, 1, 2, 2, 3, 2, 2, 2]
commend	1.9	0.7	[1, 2, 2, 1, 2, 1, 2, 3, 2, 3]
commended	1.9	0.9434	[1, 3, 2, 3, 2, 2, 0, 1, 3, 2]
commit	1.2	0.87178	[1, 0, 2, 2, 0, 0, 2, 2, 1, 2]
commitment	1.6	0.91652	[3, 1, 2, 0, 3, 1, 2, 1, 2, 1]
commitments	0.5	0.92195	[1, 3, 0, 0, 0, 0, 0, 0, 0, 1]
commits	0.1	1.13578	[0, -1, 0, 2, 1, -1, 1, 1, -2, 0]
committed	1.1	0.7	[0, 1, 1, 2, 0, 2, 1, 1, 2, 1]
committing	0.3	1.18743	[0, 1, 0, 3, 0, -2, 1, 0, 0, 0]
compassion	2.0	0.7746	[3, 2, 1, 1, 2, 1, 3, 2, 2, 3]
compassionate	2.2	0.87178	[0, 3, 3, 2, 2, 3, 3, 2, 2, 2]
compassionated	1.6	0.66332	[3, 1, 2, 2, 1, 2, 2, 1, 1, 1]
compassionately	1.7	1.41774	[1, 3, 3, 2, 1, 2, 3, 2, -2, 2]
compassionateness	0.9	1.37477	[-3, 2, 2, 1, 1, 1, 2, 1, 1, 1]
compassionates	1.6	0.4899	[2, 1, 2, 2, 1, 2, 2, 1, 1, 2]
compassionating	1.6	0.91652	[3, 0, 2, 1, 3, 1, 2, 1, 2, 1]
compassionless	-2.6	0.8	[-3, -2, -2, -3, -4, -3, -1, -2, -3, -3]
compelled	0.2	1.07703	[-1, 0, 0, 0, 1, 2, -1, -1, 2, 0]
compelling	0.9	0.94339	[1, 1, 1, 0, 1, 2, 2, -1, 2, 0]
competent	1.3	0.78102	[1, 3, 1, 1, 2, 1, 1, 0, 2, 1]
competitive	0.7	0.9	[0, 2, 0, 2, 0, 1, 0, 0, 0, 2]
complacent	-0.3	1.1	[2, -1, -1, 1, -1, -1, -1, 1, -1, -1]
complain	-1.5	0.67082	[-1, -1, -1, -2, -1, -2, -3, -2, -1, -1]
complainant	-0.7	0.78102	[0, 0, -1, 0, 0, -2, 0, -1, -2, -1]
complainants	-1.1	1.3	[-2, -1, 0, -2, -3, -2, -1, 1, -2, 1]
complained	-1.7	0.64031	[-1, -3, -2, -2, -1, -1, -2, -2, -1, -2]
complainer	-1.8	0.4	[-2, -2, -2, -2, -1, -2, -2, -2, -1, -2]
complainers	-1.3	1.00499	[-2, -1, -1, -2, -3, 1, -1, -1, -2, -1]
complaining	-0.8	1.249	[-2, -1, -1, -1, -2, -1, -1, 2, 1, -2]
complainingly	-1.7	0.64031	[-1, -2, -1, -2, -1, -2, -1, -2, -3, -2]
complains	-1.6	0.66332	[-1, -2, -1, -2, -2, -3, -1, -1, -1, -2]
complaint	-1.2	1.249	[-1, -1, -2, -2, -1, -3, -1, -1, 2, -2]
complaints	-1.7	0.45826	[-2, -2, -2, -1, -2, -2, -2, -1, -1, -2]
compliment	2.1	0.7	[2, 2, 3, 1, 2, 3, 3, 1, 2, 2]
complimentarily	1.7	0.45826	[2, 2, 2, 2, 1, 1, 2, 1, 2, 2]
complimentary	1.9	0.7	[1, 2, 2, 1, 2, 1, 2, 3, 3, 2]
complimented	1.8	1.4	[3, 2, 2, 2, 3, 2, -2, 3, 1, 2]
complimenting	2.3	0.64031	[2, 2, 1, 3, 3, 2, 2, 3, 3, 2]
compliments	1.7	0.45826	[2, 1, 2, 2, 1, 2, 2, 1, 2, 2]
comprehensive	1.0	0.63246	[1, 1, 1, 0, 2, 2, 1, 0, 1, 1]
conciliate	1.0	1.18322	[2, 1, 1, 0, 2, 2, -2, 2, 1, 1]
conciliated	1.1	0.9434	[1, 3, 0, 0, 2, 0, 2, 1, 1, 1]
conciliates	1.1	0.9434	[1, 3, 0, 0, 2, 0, 2, 1, 1, 1]
conciliating	1.3	0.78102	[2, 2, 1, 1, 2, 0, 2, 1, 2, 0]
condemn	-1.6	1.0198	[-2, -2, -1, -2, -2, 1, -2, -3, -1, -2]
condemnation	-2.8	0.9798	[-3, -4, -2, -4, -2, -4, -2, -1, -3, -3]
condemned	-1.9	1.81384	[2, -2, -2, -3, -2, -3, -3, -4, 1, -3]
condemns	-2.3	0.64031	[-2, -2, -3, -3, -3, -2, -2, -3, -1, -2]
confidence	2.3	0.64031	[3, 3, 3, 3, 1, 2, 2, 2, 2, 2]
confident	2.2	0.87178	[1, 3, 3, 2, 3, 1, 3, 2, 1, 3]
confidently	2.1	0.53852	[2, 2, 3, 1, 2, 2, 2, 2, 3, 2]
conflict	-1.3	0.45826	[-2, -2, -1, -2, -1, -1, -1, -1, -1, -1]
conflicting	-1.7	0.64031	[-1, -2, -3, -1, -2, -1, -2, -1, -2, -2]
conflictive	-1.8	0.6	[-2, -2, -2, -2, -1, -1, -3, -2, -1, -2]
conflicts	-1.6	0.8	[-1, -1, -1, -2, -1, -1, -3, -2, -1, -3]
confront	-0.7	0.78102	[0, -1, -1, 0, 1, -1, -1, -2, -1, -1]
confrontation	-1.3	1.55242	[-3, -2, -3, -2, -1, -2, 1, 2, -1, -2]
confrontational	-1.6	0.66332	[-1, -2, -1, -2, -1, -2, -1, -2, -3, -1]
confrontationist	-1.0	1.34164	[-1, -2, -2, 2, 1, -1, -2, -1, -2, -2]
confrontationists	-1.2	1.46969	[-2, -3, -1, -2, 2, 1, -1, -2, -2, -2]
confrontations	-1.5	1.0247	[-1, -3, -2, -1, -3, 0, -2, -2, 0, -1]
confronted	-0.8	0.74833	[-1, -2, -1, -1, -1, -1, -1, -1, 1, 0]
confronter	-0.3	1.1	[0, -2, 1, -2, 0, -1, -1, 0, 1, 1]
confronters	-1.3	1.26886	[-3, -2, -2, -2, -1, -2, 1, 1, -1, -2]
confronting	-0.6	1.11355	[-2, -1, -1, 0, -2, 2, -1, 0, 0, -1]
confronts	-0.9	0.53852	[-1, -1, -1, -1, 0, -1, 0, -1, -2, -1]
confuse	-0.9	0.3	[-1, -1, -1, -1, -1, -1, -1, -1, 0, -1]
confused	-1.3	0.45826	[-1, -2, -1, -1, -1, -1, -1, -1, -2, -2]
confusedly	-0.6	1.42829	[-3, -1, -1, 1, -1, -1, -2, 2, 1, -1]
confusedness	-1.5	0.67082	[-3, -1, -1, -2, -1, -2, -2, -1, -1, -1]
confuses	-1.3	0.45826	[-1, -2, -1, -1, -1, -1, -1, -1, -2, -2]
confusing	-0.9	0.7	[-1, -1, -1, -2, -1, -1, 1, -1, -1, -1]
confusingly	-1.4	0.66332	[-1, -1, -1, -1, -3, -1, -2, -1, -1, -2]
confusion	-1.2	0.6	[-1, -1, -1, -1, -1, -2, 0, -1, -2, -2]
confusional	-1.2	0.6	[-2, -2, 0, -1, -2, -1, -1, -1, -1, -1]
confusions	-0.9	1.04403	[-1, -2, -1, -1, -1, 2, -2, -1, -1, -1]
congrats	2.4	0.91652	[1, 3, 3, 3, 2, 2, 4, 1, 2, 3]
congratulate	2.2	1.249	[3, 3, 2, 3, -1, 2, 1, 3, 3, 3]
congratulation	2.9	0.9434	[3, 3, 3, 2, 4, 2, 4, 3, 4, 1]
congratulations	2.9	0.53852	[2, 3, 3, 3, 3, 3, 3, 3, 4, 2]
consent	0.9	0.7	[0, 0, 1, 1, 1, 2, 1, 2, 0, 1]
consents	1.0	0.63246	[0, 2, 1, 0, 1, 1, 1, 2, 1, 1]
considerate	1.9	1.22066	[2, -1, 3, 2, 2, 2, 4, 1, 2, 2]
consolable	1.1	0.53852	[1, 1, 2, 1, 0, 1, 1, 1, 2, 1]
conspiracy	-2.4	0.66332	[-2, -2, -3, -3, -2, -2, -4, -2, -2, -2]
constrained	-0.4	1.0198	[-1, 0, -1, -1, -1, -1, 2, -1, 1, -1]
contagion	-2.0	1.18322	[-1, 0, -2, -1, -2, -4, -2, -4, -2, -2]
contagions	-1.5	0.92195	[-2, -2, -2, -2, 1, -2, -1, -1, -2, -2]
contagious	-1.4	0.91652	[-2, -2, -2, 0, -1, -1, -2, 0, -1, -3]
contempt	-2.8	0.6	[-3, -3, -4, -2, -3, -2, -3, -3, -2, -3]
contemptibilities	-2.0	1.09545	[-2, 1, -2, -2, -3, -3, -3, -2, -2, -2]
contemptibility	-0.9	1.51327	[-2, -1, -3, -1, 0, -3, -1, 1, 2, -1]
contemptible	-1.6	1.68523	[-2, -2, -3, -3, -2, -3, -1, -3, 1, 2]
contemptibleness	-1.9	0.7	[-2, -2, -1, -2, -2, -1, -1, -2, -3, -3]
contemptibly	-1.4	1.49666	[-3, 0, -2, -3, -2, -2, -1, -3, 1, 1]
contempts	-1.0	1.48324	[-2, -2, -1, 0, 1, -1, -2, -3, 2, -2]
contemptuous	-2.2	1.83303	[-2, -3, -4, -2, -3, -3, 3, -2, -3, -3]
contemptuously	-2.4	0.8	[-1, -3, -2, -3, -3, -2, -1, -3, -3, -3]
contemptuousness	-1.1	1.57797	[-3, -1, -2, 3, -2, 0, -1, -1, -2, -2]
contend	0.2	1.07703	[0, 0, 1, 1, -2, 1, -1, 0, 2, 0]
contender	0.5	1.0247	[1, 3, -1, 0, 0, 1, 0, 1, 0, 0]
contented	1.4	1.56205	[1, 1, 3, 2, 2, 2, -3, 2, 2, 2]
contentedly	1.9	0.9434	[3, 1, 2, 3, 2, 3, 0, 2, 1, 2]
contentedness	1.4	0.4899	[1, 2, 1, 1, 2, 2, 2, 1, 1, 1]
contentious	-1.2	1.4	[-2, -2, -2, -2, -2, -2, -1, 2, 1, -2]
contentment	1.5	1.74642	[2, 1, 3, 2, 2, 1, 2, 4, 1, -3]
contestable	0.6	1.0198	[2, -1, 1, 0, 1, -1, 1, 1, 2, 0]
contradict	-1.3	0.78102	[-2, -1, -1, 0, -2, 0, -1, -2, -2, -2]
contradictable	-1.0	0.63246	[-1, -1, -2, 0, -1, -1, 0, -1, -1, -2]
contradicted	-1.3	0.45826	[-1, -1, -1, -1, -2, -1, -2, -1, -1, -2]
contradicting	-1.3	0.9	[-2, -2, -2, -1, -2, -1, 1, -1, -1, -2]
contradiction	-1.0	0.89443	[-1, 0, 0, -1, 0, -3, -2, -1, -1, -1]
contradictions	-1.3	0.78102	[0, -2, -1, -2, -1, -2, -1, 0, -2, -2]
contradictious	-1.9	1.04403	[-2, -3, 0, -3, -3, -1, -2, -1, -1, -3]
contradictor	-1.0	0.63246	[-1, -1, -1, -2, -1, -2, 0, 0, -1, -1]
contradictories	-0.5	1.11803	[-1, 0, -1, -2, 2, 1, -1, -1, -1, -1]
contradictorily	-0.9	1.3	[0, -1, -1, -1, -3, -1, 1, 1, -3, -1]
contradictoriness	-1.4	0.4899	[-2, -1, -1, -1, -2, -1, -1, -2, -2, -1]
contradictors	-1.6	0.66332	[-1, -2, -1, -2, -1, -1, -3, -1, -2, -2]
contradictory	-1.4	0.4899	[-1, -2, -1, -2, -1, -1, -1, -1, -2, -2]
contradicts	-1.4	0.66332	[-1, -2, -1, -2, -2, -2, 0, -1, -1, -2]
controversial	-0.8	0.87178	[0, 0, -1, 1, -2, -1, -1, -1, -1, -2]
controversially	-1.1	1.04403	[0, -1, -1, -2, -1, -2, -1, 1, -3, -1]
convince	1.0	0.89443	[-1, 2, 2, 1, 1, 0, 1, 1, 2, 1]
convinced	1.7	0.64031	[2, 1, 1, 2, 1, 2, 2, 2, 1, 3]
convincer	0.6	0.66332	[2, 0, 1, 0, 1, 1, 0, 0, 0, 1]
convincers	0.3	0.64031	[0, 0, 0, 0, 0, 1, 0, 0, 0, 2]
convinces	0.7	0.78102	[1, 0, 2, 0, 1, 0, 0, 0, 1, 2]
convincing	1.7	0.9	[2, 2, 0, 3, 3, 1, 1, 2, 2, 1]
convincingly	1.6	0.66332	[3, 2, 1, 1, 1, 2, 2, 1, 2, 1]
convincingness	0.7	1.34536	[0, 0, 0, 1, -2, 2, 0, 3, 1, 2]
convivial	1.2	1.16619	[1, 2, -2, 2, 1, 2, 2, 1, 2, 1]
cool	1.3	0.64031	[1, 1, 2, 1, 1, 1, 2, 2, 2, 0]
cornered	-1.1	0.83066	[-1, -1, -3, -1, 0, -1, 0, -1, -2, -1]
corpse	-2.7	1.18743	[-3, -4, 0, -4, -3, -3, -3, -1, -3, -3]
costly	-0.4	1.0198	[-1, 0, -1, -1, 2, -1, -1, 1, -1, -1]
courage	2.2	0.74833	[2, 3, 1, 2, 3, 2, 3, 3, 1, 2]
courageous	2.4	0.4899	[2, 3, 3, 3, 3, 2, 2, 2, 2, 2]
courageously	2.3	0.78102	[3, 3, 3, 1, 3, 3, 2, 2, 2, 1]
courageousness	2.1	0.7	[3, 3, 1, 2, 1, 2, 2, 2, 3, 2]
courteous	2.3	0.45826	[2, 2, 2, 3, 3, 2, 3, 2, 2, 2]
courtesy	1.5	0.67082	[1, 1, 2, 3, 1, 2, 1, 1, 2, 1]
cover-up	-1.2	1.16619	[-1, -1, -4, -1, 0, 0, -2, 0, -1, -2]
coward	-2.0	0.63246	[-3, -3, -1, -2, -2, -1, -2, -2, -2, -2]
cowardly	-1.6	0.8	[-1, -1, -1, -3, -1, -2, -3, -2, -1, -1]
coziness	1.5	1.11803	[2, 3, 1, 3, 1, 2, 2, -1, 1, 1]
cramp	-0.8	1.66132	[0, -1, -1, -3, -3, 1, -2, 1, -2, 2]
crap	-1.6	0.66332	[-1, -1, -2, -2, -1, -2, -3, -1, -1, -2]
crappy	-2.6	0.8	[-1, -3, -3, -2, -3, -4, -2, -2, -3, -3]
crash	-1.7	1.18743	[-2, -3, -2, -1, -2, 0, 0, -1, -4, -2]
craze	-0.6	1.49666	[0, -3, -1, -1, -2, 0, 0, -1, 3, -1]
crazed	-0.5	2.24722	[-2, -1, 3, -3, -3, 1, 1, -1, 3, -3]
crazes	0.2	1.6	[-2, -1, 3, -1, -1, 1, 2, 0, 2, -1]
crazier	-0.1	1.7	[2, -2, -2, 0, -1, 1, 3, 1, -1, -2]
craziest	-0.2	2.13542	[2, -2, -3, 3, -2, 0, 2, 2, -2, -2]
crazily	-1.5	0.67082	[-2, -1, -1, -2, -1, -3, -2, -1, -1, -1]
craziness	-1.6	0.66332	[-2, 0, -2, -1, -2, -1, -2, -2, -2, -2]
crazinesses	-1.0	1.48324	[1, -2, -2, 2, -1, 0, -2, -1, -3, -2]
crazing	-0.5	0.80623	[0, 0, 0, 0, -2, -1, -2, 0, 0, 0]
crazy	-1.4	1.35647	[-2, -1, -1, -2, -3, -2, -3, -1, 2, -1]
crazyweed	0.8	0.9798	[2, 0, 0, 0, 0, 2, 2, 0, 2, 0]
create	1.1	1.13578	[1, 1, 1, 2, 3, 0, 0, 0, 3, 0]
created	1.0	0.7746	[2, 0, 0, 1, 1, 2, 0, 1, 1, 2]
creates	1.1	0.83066	[2, 0, 0, 1, 1, 2, 0, 1, 2, 2]
creatin	0.1	0.53852	[0, 0, 0, 1, 0, 0, 0, 1, -1, 0]
creatine	0.2	0.6	[0, 0, 0, 0, 0, 0, 0, 0, 0, 2]
creating	1.2	1.249	[0, 0, 0, 0, 4, 1, 1, 2, 2, 2]
creatinine	0.4	1.2	[0, 0, 0, 4, 0, 0, 0, 0, 0, 0]
creation	1.1	0.83066	[2, 1, 1, 2, 0, 0, 0, 1, 2, 2]
creationism	0.7	0.9	[2, 0, 0, 0, 0, 0, 2, 0, 2, 1]
creationisms	1.1	1.37477	[2, 4, 0, 3, 0, 0, 1, 1, 0, 0]
creationist	0.8	0.9798	[2, 0, 0, 0, 0, 0, 2, 0, 2, 2]
creationists	0.5	0.67082	[0, 0, 0, 1, 1, 0, 2, 0, 1, 0]
creations	1.6	0.91652	[3, 2, 1, 1, 1, 3, 1, 2, 2, 0]
creative	1.9	0.53852	[2, 1, 2, 2, 2, 1, 3, 2, 2, 2]
creatively	1.5	0.80623	[2, 2, 1, 0, 2, 2, 2, 0, 2, 2]
creativeness	1.8	1.07703	[3, 2, 1, 0, 2, 2, 2, 0, 3, 3]
creativities	1.7	1.00499	[2, 2, 1, 0, 3, 2, 2, 0, 2, 3]
creativity	1.6	0.8	[2, 1, 2, 2, 3, 2, 0, 2, 1, 1]
credit	1.6	0.91652	[1, 1, 0, 2, 3, 3, 2, 2, 1, 1]
creditabilities	1.4	1.28062	[0, 3, -1, 2, 2, 2, 1, 2, 0, 3]
creditability	1.9	1.3	[3, 0, 4, 0, 1, 1, 3, 2, 2, 3]
creditable	1.8	0.6	[2, 1, 1, 1, 2, 2, 3, 2, 2, 2]
creditableness	1.2	0.74833	[1, 1, 1, 3, 2, 1, 0, 1, 1, 1]
creditably	1.7	0.78102	[3, 1, 1, 0, 2, 2, 2, 2, 2, 2]
credited	1.5	1.11803	[1, 1, 1, 0, 3, 2, 0, 3, 1, 3]
crediting	0.6	0.4899	[1, 0, 0, 0, 1, 1, 1, 0, 1, 1]
creditor	-0.1	1.44568	[-2, -1, 1, -2, -1, 1, 2, -1, 2, 0]
credits	1.5	1.0247	[2, -1, 2, 0, 2, 2, 2, 2, 2, 2]
creditworthiness	1.9	1.3	[4, 0, 3, 1, 2, 1, 4, 2, 1, 1]
creditworthy	2.4	0.66332	[3, 3, 3, 1, 2, 3, 3, 2, 2, 2]
crestfallen	-2.5	0.67082	[-2, -3, -3, -2, -3, -2, -4, -2, -2, -2]
cried	-1.6	0.8	[-1, -3, -1, -2, -2, -2, 0, -2, -1, -2]
cries	-1.7	0.64031	[-1, -3, -1, -2, -2, -2, -1, -2, -1, -2]
crime	-2.5	0.80623	[-3, -3, -4, -2, -2, -1, -2, -2, -3, -3]
criminal	-2.4	0.91652	[-3, -2, -4, -3, -1, -2, -3, -2, -1, -3]
criminals	-2.7	0.9	[-2, -2, -1, -3, -3, -4, -4, -3, -2, -3]
crisis	-3.1	0.7	[-3, -2, -4, -3, -3, -2, -4, -4, -3, -3]
critic	-1.1	0.53852	[-1, 0, -2, -1, -1, -1, -1, -1, -2, -1]
critical	-1.3	0.78102	[-2, 0, -1, -1, -1, -2, -1, -3, -1, -1]
criticise	-1.9	0.53852	[-2, -1, -2, -2, -2, -2, -3, -1, -2, -2]
criticised	-1.8	0.4	[-2, -2, -1, -2, -2, -2, -1, -2, -2, -2]
criticises	-1.3	1.26886	[-2, -1, -1, -1, 2, -1, -3, -2, -2, -2]
criticising	-1.7	0.78102	[-1, -1, -1, -3, -1, -2, -2, -2, -1, -3]
criticism	-1.9	0.53852	[-2, -1, -2, -2, -2, -2, -3, -1, -2, -2]
criticisms	-0.9	1.37477	[-1, -1, 1, -1, -2, -2, -1, -3, 2, -1]
criticizable	-1.0	0.63246	[-1, -2, 0, -1, -2, -1, 0, -1, -1, -1]
criticize	-1.6	1.0198	[-2, -1, 0, -2, -1, -3, 0, -3, -2, -2]
criticized	-1.5	0.92195	[-1, -2, -3, -1, -1, -1, -3, -1, -2, 0]
criticizer	-1.5	0.67082	[-1, -2, -2, -1, -1, -1, -3, -1, -2, -1]
criticizers	-1.6	0.4899	[-1, -1, -1, -2, -2, -2, -1, -2, -2, -2]
criticizes	-1.4	0.66332	[-1, -1, -2, -1, -1, -1, -3, -1, -2, -1]
criticizing	-1.5	0.67082	[-1, -1, -1, -2, -2, -1, -2, -1, -3, -1]
critics	-1.2	0.6	[-2, 0, -1, -1, -1, -1, -2, -1, -2, -1]
crude	-2.7	0.64031	[-2, -2, -3, -4, -2, -3, -3, -2, -3, -3]
crudely	-1.2	0.4	[-1, -2, -2, -1, -1, -1, -1, -1, -1, -1]
crudeness	-2.0	0.7746	[-3, -1, -1, -1, -3, -2, -3, -2, -2, -2]
crudenesses	-2.0	1.0	[-3, -1, -1, -2, -4, -1, -1, -2, -2, -3]
cruder	-2.0	0.89443	[-3, -2, -2, -1, -1, -2, -2, -1, -4, -2]
crudes	-1.1	0.83066	[-2, -1, -1, -1, 0, 0, -1, -1, -3, -1]
crudest	-2.4	1.0198	[-2, -1, -3, -3, -2, -1, -4, -4, -2, -2]
cruel	-2.8	1.16619	[-2, -4, -1, -4, -1, -4, -2, -3, -3, -4]
crueler	-2.3	0.45826	[-2, -3, -2, -2, -2, -3, -2, -2, -3, -2]
cruelest	-2.6	0.8	[-4, -3, -2, -4, -2, -2, -2, -2, -2, -3]
crueller	-2.4	0.4899	[-2, -3, -3, -3, -2, -2, -3, -2, -2, -2]
cruellest	-2.9	1.04403	[-2, -3, -4, -4, -4, -3, -1, -2, -2, -4]
cruelly	-2.8	0.4	[-3, -3, -3, -3, -3, -3, -2, -2, -3, -3]
cruelness	-2.9	0.3	[-3, -3, -3, -3, -3, -3, -3, -3, -2, -3]
cruelties	-2.3	1.00499	[-4, -3, -2, -1, -2, -2, -1, -4, -2, -2]
cruelty	-2.9	0.83066	[-3, -3, -3, -3, -4, -3, -1, -3, -4, -2]
crush	-0.6	1.11355	[0, 0, 0, -1, 1, 0, -2, -3, -1, 0]
crushed	-1.8	0.6	[-2, -2, -2, -1, -2, -1, -1, -3, -2, -2]
crushes	-1.9	0.53852	[-2, -2, -2, -2, -2, -1, -1, -3, -2, -2]
crushing	-1.5	1.85742	[-2, -3, -1, -3, 2, -2, -2, -3, 2, -3]
cry	-2.1	0.53852	[-2, -2, -2, -1, -2, -2, -3, -3, -2, -2]
crying	-2.1	0.7	[-3, -1, -2, -2, -3, -2, -3, -2, -1, -2]
cunt	-2.2	2.08806	[-4, -1, -4, -2, 2, -4, -4, -3, 1, -3]
cunts	-2.9	1.44568	[-3, -4, -3, -4, -4, -4, -3, 1, -3, -2]
curious	1.3	0.78102	[0, 1, 0, 2, 2, 2, 1, 1, 2, 2]
curse	-2.5	0.67082	[-3, -3, -4, -2, -2, -3, -2, -2, -2, -2]
cut	-1.1	0.53852	[-2, -1, -1, -1, 0, -1, -1, -1, -2, -1]
cute	2.0	0.63246	[1, 3, 1, 2, 2, 2, 2, 3, 2, 2]
cutely	1.3	1.00499	[3, 1, 1, 2, 2, 1, 1, 2, -1, 1]
cuteness	2.3	0.45826	[2, 2, 2, 3, 2, 3, 3, 2, 2, 2]
cutenesses	1.9	0.53852	[1, 2, 2, 1, 3, 2, 2, 2, 2, 2]
cuter	2.3	0.9	[1, 2, 3, 4, 1, 2, 2, 3, 3, 2]
cutes	1.8	0.87178	[1, 2, 3, 0, 1, 2, 2, 2, 3, 2]
cutesie	1.0	1.18322	[2, 2, 1, 1, 0, 2, 2, -1, 2, -1]
cutesier	1.5	1.20416	[3, -1, 2, 1, 1, 2, 2, 3, 0, 2]
cutesiest	2.2	1.4	[3, 3, 4, 2, 2, 4, 2, -1, 2, 1]
cutest	2.8	0.87178	[2, 3, 3, 4, 4, 3, 1, 3, 2, 3]
cutesy	2.1	0.83066	[2, 1, 2, 2, 4, 3, 1, 2, 2, 2]
cutey	2.1	1.04403	[1, 2, 3, 4, 1, 1, 3, 2, 3, 1]
cuteys	1.5	1.0247	[3, 2, 2, 0, 1, 2, 1, 1, 3, 0]
cutie	1.5	0.80623	[3, 1, 1, 2, 1, 1, 1, 3, 1, 1]
cutiepie	2.0	1.09545	[3, 1, 2, 4, 0, 2, 1, 3, 2, 2]
cuties	2.2	0.6	[3, 2, 2, 2, 3, 1, 2, 2, 3, 2]
cuts	-1.2	0.6	[-1, -2, -1, 0, -1, -1, -2, -2, -1, -1]
cutting	-0.5	0.67082	[0, -1, 0, 0, 0, -1, -1, -2, 0, 0]
cynic	-1.4	0.8	[-1, -2, -1, 0, -2, -3, -1, -1, -1, -2]
cynical	-1.6	0.66332	[-1, -1, -2, -2, -1, -1, -2, -2, -1, -3]
cynically	-1.3	1.00499	[-2, -1, -1, -1, -3, -2, -1, -2, 1, -1]
cynicism	-1.7	0.64031	[-2, -3, -1, -1, -2, -1, -2, -1, -2, -2]
cynicisms	-1.7	0.78102	[-1, -1, -3, -1, -2, -3, -1, -2, -2, -1]
cynics	-0.3	1.1	[-1, 0, -2, 0, 0, -1, 1, -1, 2, -1]
d-:	1.6	0.66332	[1, 1, 1, 2, 2, 3, 1, 1, 2, 2]
d:	1.2	0.87178	[1, 1, 1, 2, 1, 1, 2, 2, -1, 2]
d=	1.5	0.67082	[1, 1, 1, 2, 3, 2, 1, 1, 1, 2]
damage	-2.2	0.4	[-2, -3, -2, -2, -3, -2, -2, -2, -2, -2]
damaged	-1.9	0.53852	[-2, -2, -2, -1, -2, -1, -2, -2, -3, -2]
damager	-1.9	0.53852	[-2, -2, -2, -2, -2, -1, -2, -2, -3, -1]
damagers	-2.0	0.63246	[-2, -3, -1, -2, -2, -1, -3, -2, -2, -2]
damages	-1.9	1.04403	[-1, 0, -2, -2, -2, -4, -2, -1, -3, -2]
damaging	-2.3	0.9	[-4, -1, -2, -4, -2, -2, -2, -2, -2, -2]
damagingly	-2.0	0.7746	[-2, -2, -2, -2, -1, -3, -3, -1, -3, -1]
damn	-1.7	0.64031	[-2, -1, -2, -1, -1, -3, -1, -2, -2, -2]
damnable	-1.7	0.45826	[-2, -1, -2, -2, -1, -2, -1, -2, -2, -2]
damnableness	-1.8	0.74833	[-2, -2, -2, -2, -1, -2, -2, 0, -3, -2]
damnably	-1.7	0.45826	[-2, -1, -2, -2, -1, -2, -1, -2, -2, -2]
damnation	-2.6	1.0198	[-3, -2, -3, -4, -4, -3, -1, -2, -1, -3]
damnations	-1.4	1.11355	[-2, -1, -2, -3, -2, 0, -1, 1, -2, -2]
damnatory	-2.6	1.42829	[-4, -1, -4, -2, -1, -3, -3, 0, -4, -4]
damned	-1.6	0.66332	[-1, -1, -3, -1, -2, -2, -1, -2, -1, -2]
damnedest	-0.5	1.5	[1, 0, 0, 0, -1, -1, 0, 2, -3, -3]
damnified	-2.8	0.9798	[-1, -3, -3, -2, -2, -3, -4, -4, -2, -4]
damnifies	-1.8	0.87178	[-2, -2, -1, -2, -3, -2, -2, 0, -1, -3]
damnify	-2.2	0.74833	[-2, -2, -4, -2, -3, -2, -1, -2, -2, -2]
damnifying	-2.4	0.66332	[-3, -1, -2, -2, -2, -2, -3, -3, -3, -3]
damning	-1.4	0.8	[-1, -3, -1, -1, -1, -1, -3, -1, -1, -1]
damningly	-2.0	1.61245	[-3, -2, -1, -4, -3, -3, -3, -2, 2, -1]
damnit	-2.4	1.0198	[-3, -3, -2, -2, -3, -2, -4, -2, 0, -3]
damns	-2.2	0.74833	[-2, -3, -2, -1, -3, -2, -1, -2, -3, -3]
danger	-2.4	0.91652	[-3, -1, -2, -3, -3, -3, -2, -1, -2, -4]
dangered	-2.4	0.66332	[-3, -3, -2, -3, -3, -2, -1, -2, -3, -2]
dangering	-2.5	0.80623	[-1, -2, -2, -3, -4, -3, -3, -2, -2, -3]
dangerous	-2.1	0.3	[-2, -3, -2, -2, -2, -2, -2, -2, -2, -2]
dangerously	-2.0	0.44721	[-2, -2, -2, -1, -2, -3, -2, -2, -2, -2]
dangerousness	-2.0	0.44721	[-2, -3, -2, -1, -2, -2, -2, -2, -2, -2]
dangers	-2.2	0.87178	[-1, -1, -2, -4, -2, -3, -3, -2, -2, -2]
daredevil	0.5	0.92195	[0, 1, -1, 2, 0, 0, 1, 0, 0, 2]
daring	1.5	1.5	[3, 0, 1, 1, 2, -2, 3, 2, 2, 3]
daringly	2.1	0.7	[3, 1, 2, 1, 3, 2, 2, 3, 2, 2]
daringness	1.4	0.8	[0, 2, 1, 3, 1, 2, 2, 1, 1, 1]
darings	0.4	0.91652	[0, 1, 1, 1, 0, 1, 0, 1, -2, 1]
darkest	-2.2	0.6	[-3, -3, -2, -2, -3, -2, -1, -2, -2, -2]
darkness	-1.0	0.44721	[-2, -1, -1, -1, -1, 0, -1, -1, -1, -1]
darling	2.8	0.6	[3, 3, 2, 2, 3, 3, 4, 2, 3, 3]
darlingly	1.6	0.66332	[1, 1, 2, 3, 1, 1, 2, 2, 2, 1]
darlingness	2.3	0.45826	[3, 3, 2, 2, 2, 2, 2, 2, 3, 2]
darlings	2.2	0.4	[3, 2, 2, 2, 2, 2, 2, 2, 3, 2]
dauntless	2.3	0.78102	[3, 3, 2, 1, 3, 3, 2, 1, 2, 3]
daze	-0.7	0.78102	[-1, 0, -1, -1, 1, -1, -1, 0, -1, -2]
dazed	-0.7	0.64031	[0, -1, -1, 0, -1, -1, 0, -1, 0, -2]
dazedly	-0.4	1.0198	[-1, -1, -1, -1, -1, 2, -1, 1, 0, -1]
dazedness	-0.5	1.11803	[-1, 2, 0, -1, -1, -1, 1, -2, -1, -1]
dazes	-0.3	0.78102	[0, -1, 0, 0, 0, -1, 0, 1, 0, -2]
dead	-3.3	1.00499	[-4, -4, -1, -4, -4, -3, -4, -2, -3, -4]
deadlock	-1.4	0.8	[-2, -2, -1, -3, -1, 0, -2, -1, -1, -1]
deafening	-1.2	1.6	[-4, -2, 0, -3, 1, -2, 1, -2, -1, 0]
dear	1.6	1.35647	[3, 3, 2, 2, 2, 2, 1, -2, 1, 2]
dearer	1.9	0.7	[2, 2, 1, 2, 1, 1, 2, 3, 2, 3]
dearest	2.6	0.8	[1, 2, 3, 3, 2, 2, 3, 3, 4, 3]
dearie	2.2	0.6	[2, 2, 2, 3, 2, 1, 3, 2, 3, 2]
dearies	1.0	1.0	[0, 1, 2, -1, 1, 1, 1, 1, 1, 3]
dearly	1.8	1.07703	[3, 4, 2, 1, 1, 0, 1, 2, 2, 2]
dearness	2.0	0.7746	[1, 1, 2, 3, 2, 2, 2, 3, 1, 3]
dears	1.9	0.83066	[3, 2, 2, 2, 1, 2, 2, 2, 0, 3]
dearth	-2.3	1.00499	[-2, -2, -1, -4, -2, -1, -2, -4, -3, -2]
dearths	-0.9	0.7	[0, -1, 0, -1, -2, -1, -2, 0, -1, -1]
deary	1.9	0.83066	[3, 2, 2, 1, 2, 2, 3, 2, 0, 2]
death	-2.9	1.04403	[-3, -4, -4, -3, -3, -1, -1, -4, -3, -3]
debonair	0.8	1.72047	[1, -1, -1, -3, 2, 2, 2, 2, 2, 2]
debt	-1.5	1.0247	[-2, -1, -2, -3, 1, -2, -2, -1, -1, -2]
decay	-1.7	0.45826	[-2, -2, -2, -1, -2, -1, -1, -2, -2, -2]
decayed	-1.6	0.91652	[-2, -2, -2, -2, -2, 1, -1, -2, -2, -2]
decayer	-1.6	0.4899	[-2, -2, -2, -1, -2, -1, -1, -1, -2, -2]
decayers	-1.6	0.4899	[-2, -1, -1, -2, -1, -2, -2, -2, -1, -2]
decaying	-1.7	0.64031	[-1, -1, -2, -2, -1, -2, -3, -2, -2, -1]
decays	-1.7	0.45826	[-2, -1, -2, -2, -1, -2, -1, -2, -2, -2]
deceit	-2.0	1.34164	[-3, -2, -2, -3, -3, 0, 1, -2, -3, -3]
deceitful	-1.9	1.22066	[-3, -2, -2, -3, -1, -3, -1, -3, -2, 1]
deceive	-1.7	0.64031	[-1, -2, -2, -1, -2, -1, -1, -3, -2, -2]
deceived	-1.9	1.3	[1, -3, -3, -1, -1, -2, -2, -2, -4, -2]
deceives	-1.6	1.56205	[-1, 2, -2, -2, -3, -2, 0, -2, -4, -2]
deceiving	-1.4	1.68523	[-3, -2, -2, -2, -1, -1, 1, -4, 2, -2]
deception	-1.9	1.04403	[-1, -2, -2, -4, -2, 0, -2, -1, -3, -2]
decisive	0.9	0.83066	[2, 2, 0, 1, -1, 1, 1, 1, 1, 1]
dedicated	2.0	0.44721	[2, 2, 2, 2, 2, 2, 2, 1, 3, 2]
defeat	-2.0	1.67332	[0, -4, -3, -4, -2, -1, -2, -1, 1, -4]
defeated	-2.1	0.83066	[-1, -2, -1, -2, -3, -2, -2, -2, -2, -4]
defeater	-1.4	0.8	[-2, -1, -1, -3, -2, -1, -2, -1, 0, -1]
defeaters	-0.9	0.9434	[-2, 0, -1, -2, -2, -1, 0, -1, 1, -1]
defeating	-1.6	0.66332	[-2, -2, -1, -1, -1, -1, -2, -2, -3, -1]
defeatism	-1.3	1.00499	[-1, -2, -2, -1, -1, -3, 1, -2, -1, -1]
defeatist	-1.7	0.9	[0, -1, -2, -3, -1, -2, -1, -3, -2, -2]
defeatists	-2.1	0.9434	[-3, -2, -1, -2, -2, -1, -3, -4, -1, -2]
defeats	-1.3	1.1	[-1, 0, -1, -2, -1, -2, -3, 1, -2, -2]
defeature	-1.9	1.22066	[1, -2, -2, -2, -2, -1, -2, -3, -4, -2]
defeatures	-1.5	1.20416	[-3, -2, -3, 0, -1, -1, -2, 0, -3, 0]
defect	-1.4	0.8	[-2, -1, -2, -1, 0, -2, -3, -1, -1, -1]
defected	-1.7	0.64031	[-3, -2, -2, -2, -1, -1, -1, -2, -1, -2]
defecting	-1.8	0.6	[-2, -1, -2, -2, -2, -1, -3, -1, -2, -2]
defection	-1.4	0.66332	[-1, -2, -1, -2, 0, -1, -2, -2, -2, -1]
defections	-1.5	0.67082	[-2, -2, -2, -1, 0, -1, -2, -2, -1, -2]
defective	-1.9	0.53852	[-2, -1, -2, -3, -2, -2, -2, -2, -1, -2]
defectively	-2.1	0.83066	[-1, -3, -2, -1, -3, -2, -1, -3, -2, -3]
defectiveness	-1.8	0.74833	[-1, -1, -2, -2, -2, -3, -1, -1, -2, -3]
defectives	-1.8	0.74833	[-3, -3, -1, -2, -2, -1, -2, -1, -1, -2]
defector	-1.9	0.53852	[-2, -3, -2, -2, -1, -2, -1, -2, -2, -2]
defectors	-1.3	1.26886	[-2, -1, -2, 0, -1, -1, -2, -4, 1, -1]
defects	-1.7	0.9	[-1, -2, -1, 0, -2, -3, -2, -2, -1, -3]
defence	0.4	0.91652	[0, 0, 0, 1, 0, 0, 0, 2, 2, -1]
defenceman	0.4	1.11355	[3, 0, 0, 0, 0, -1, 2, 0, 0, 0]
defencemen	0.6	0.91652	[0, 0, 0, 2, 0, 2, 0, 2, 0, 0]
defences	-0.2	1.16619	[0, 0, 0, 1, -2, -1, 0, -2, 0, 2]
defender	0.4	1.0198	[0, 0, 2, 1, -1, 2, 0, 1, -1, 0]
defenders	0.3	0.78102	[0, 1, 1, 0, 0, 0, 0, -1, 2, 0]
defense	0.5	0.67082	[0, 1, 0, 1, 2, 1, 0, 0, 0, 0]
defenseless	-1.4	0.8	[0, -1, -1, -2, -1, -1, -3, -1, -2, -2]
defenselessly	-1.1	0.9434	[-2, -2, -2, -1, 0, -1, 1, -1, -1, -2]
defenselessness	-1.3	1.18743	[-3, -1, -3, 0, -2, -1, -1, -2, 1, -1]
defenseman	0.1	1.13578	[2, 0, 0, 0, 0, 0, -1, 0, 2, -2]
defensemen	-0.4	0.66332	[0, 0, -2, 0, -1, -1, 0, 0, 0, 0]
defenses	0.7	1.41774	[3, 0, 2, 0, -1, 1, -2, 1, 1, 2]
defensibility	0.4	1.56205	[1, -2, 1, 0, 4, 0, -1, 1, -1, 1]
defensible	0.8	0.87178	[0, 2, 0, 0, 1, 0, 2, 0, 2, 1]
defensibly	0.1	1.13578	[0, -1, 0, 0, -1, 0, 3, 0, -1, 1]
defensive	0.1	1.13578	[2, -1, 0, -1, 2, 0, -1, 1, 0, -1]
defensively	-0.6	0.91652	[1, 1, -1, -1, -1, -1, -2, -1, 0, -1]
defensiveness	-0.4	1.11355	[2, -1, -1, -1, -1, 0, 0, 1, -2, -1]
defensives	-0.3	1.00499	[-1, 0, 0, -1, 0, -1, 0, -2, 2, 0]
defer	-1.2	0.6	[-1, -2, -1, 0, -1, -2, -2, -1, -1, -1]
deferring	-0.7	0.64031	[0, 0, -2, -1, -1, -1, -1, 0, -1, 0]
defiant	-0.9	1.44568	[-1, -2, -1, 2, 1, -2, 0, -1, -3, -2]
deficit	-1.7	0.78102	[-3, -3, -2, -1, -2, -2, -1, -1, -1, -1]
definite	1.1	0.7	[2, 1, 0, 1, 0, 1, 1, 2, 2, 1]
definitely	1.7	0.64031	[2, 2, 2, 2, 2, 1, 2, 2, 0, 2]
degradable	-1.0	1.26491	[-1, -2, 0, -2, 0, -1, -2, -2, 2, -2]
degradation	-2.4	1.0198	[-4, -3, -3, -3, -3, -2, -2, -2, 0, -2]
degradations	-1.5	0.67082	[-2, -1, -3, -1, -2, -2, -1, -1, -1, -1]
degradative	-2.0	0.63246	[-2, -1, -3, -2, -2, -2, -1, -2, -3, -2]
degrade	-1.9	0.7	[-3, -2, -1, -3, -1, -2, -2, -2, -1, -2]
degraded	-1.8	0.87178	[-2, -3, -1, 0, -2, -1, -2, -2, -3, -2]
degrader	-2.0	0.63246	[-2, -3, -1, -1, -2, -2, -3, -2, -2, -2]
degraders	-2.0	0.63246	[-2, -3, -1, -2, -2, -2, -3, -2, -1, -2]
degrades	-2.1	0.83066	[-3, -1, -3, -3, -2, -3, -1, -1, -2, -2]
degrading	-2.8	0.87178	[-3, -3, -2, -3, -4, -2, -3, -4, -3, -1]
degradingly	-2.7	0.64031	[-3, -2, -3, -4, -2, -3, -3, -2, -3, -2]
dehumanize	-1.8	2.18174	[-2, -4, -1, -3, 2, -4, -3, 2, -1, -4]
dehumanized	-1.9	0.7	[-2, -2, -2, -2, -1, -3, -2, -1, -3, -1]
dehumanizes	-1.5	0.67082	[-1, -1, -1, -2, -1, -3, -2, -1, -2, -1]
dehumanizing	-2.4	0.91652	[-2, -3, -4, -2, -3, -2, -3, -1, -1, -3]
deject	-2.2	0.6	[-2, -3, -2, -3, -2, -2, -3, -2, -1, -2]
dejected	-2.2	0.74833	[-2, -1, -2, -3, -2, -2, -2, -2, -2, -4]
dejecting	-2.3	0.64031	[-2, -2, -3, -2, -3, -2, -1, -2, -3, -3]
dejects	-2.0	0.63246	[-2, -2, -3, -1, -2, -1, -3, -2, -2, -2]
delay	-1.3	0.45826	[-1, -1, -1, -2, -1, -1, -2, -1, -2, -1]
delayed	-0.9	0.3	[-1, -1, 0, -1, -1, -1, -1, -1, -1, -1]
delectable	2.9	0.83066	[3, 4, 3, 2, 3, 4, 3, 1, 3, 3]
delectables	1.4	1.35647	[1, 2, 0, 4, 2, 1, 3, -1, 1, 1]
delectably	2.8	0.74833	[3, 4, 3, 2, 3, 3, 3, 1, 3, 3]
delicate	0.2	0.74833	[2, 0, 0, 0, 0, 0, 1, 0, -1, 0]
delicately	1.0	1.26491	[1, 1, 2, 0, 1, 3, -1, 2, -1, 2]
delicates	0.6	1.35647	[3, 0, 2, 1, -1, -1, 2, 0, 1, -1]
delicatessen	0.4	0.8	[0, 0, 0, 0, 0, 0, 0, 2, 2, 0]
delicatessens	0.4	0.8	[0, 0, 2, 0, 0, 2, 0, 0, 0, 0]
delicious	2.7	0.64031	[3, 2, 3, 4, 2, 3, 3, 3, 2, 2]
deliciously	1.9	0.83066	[2, 2, 1, 3, 1, 3, 2, 3, 1, 1]
deliciousness	1.8	0.87178	[1, 2, 3, 3, 2, 2, 1, 2, 2, 0]
delight	2.9	0.7	[2, 3, 4, 4, 3, 2, 3, 3, 2, 3]
delighted	2.3	0.64031	[3, 3, 2, 3, 2, 1, 3, 2, 2, 2]
delightedly	2.4	0.4899	[2, 3, 3, 3, 2, 2, 3, 2, 2, 2]
delightedness	2.1	0.53852	[2, 2, 2, 2, 3, 2, 3, 2, 1, 2]
delighter	2.0	0.63246	[3, 2, 2, 3, 1, 2, 2, 1, 2, 2]
delighters	2.6	0.66332	[3, 2, 2, 2, 3, 2, 3, 2, 4, 3]
delightful	2.8	0.6	[4, 3, 2, 3, 3, 3, 2, 2, 3, 3]
delightfully	2.7	0.45826	[3, 2, 2, 2, 3, 3, 3, 3, 3, 3]
delightfulness	2.1	0.7	[3, 2, 3, 1, 2, 3, 2, 2, 2, 1]
delighting	1.6	1.90788	[3, 3, 3, 2, 3, 2, 3, -2, -2, 1]
delights	2.0	1.54919	[2, 3, 1, -2, 2, 4, 2, 3, 3, 2]
delightsome	2.3	0.45826	[3, 3, 2, 2, 2, 3, 2, 2, 2, 2]
demand	-0.5	0.67082	[0, 0, 0, 0, 0, -1, -1, -1, 0, -2]
demanded	-0.9	0.7	[-2, 0, 0, 0, -2, -1, -1, -1, -1, -1]
demanding	-0.9	0.53852	[-1, -2, 0, -1, -1, -1, -1, -1, 0, -1]
demonstration	0.4	0.91652	[0, 0, 0, 0, 0, 0, 3, 1, 0, 0]
demoralized	-1.6	1.62481	[-2, -2, -2, -2, -3, 2, -2, -3, 1, -3]
denied	-1.9	0.53852	[-2, -3, -1, -2, -2, -1, -2, -2, -2, -2]
denier	-1.5	0.67082	[-1, -1, -1, -1, -2, -3, -2, -2, -1, -1]
deniers	-1.1	1.13578	[-2, 0, -2, -1, -3, 1, 0, -1, -2, -1]
denies	-1.8	0.6	[-1, -2, -1, -1, -2, -3, -2, -2, -2, -2]
denounce	-1.4	0.91652	[-2, -1, -2, -1, 1, -2, -2, -1, -2, -2]
denounces	-1.9	0.7	[-1, -3, -2, -3, -2, -1, -2, -2, -2, -1]
deny	-1.4	0.4899	[-1, -1, -1, -1, -2, -1, -2, -2, -1, -2]
denying	-1.4	0.4899	[-1, -1, -1, -2, -2, -2, -1, -2, -1, -1]
depress	-2.2	0.74833	[-2, -1, -3, -3, -2, -2, -3, -3, -1, -2]
depressant	-1.6	1.11355	[-3, -1, 0, -1, 0, -2, -3, -1, -3, -2]
depressants	-1.6	0.91652	[-1, -1, -3, -3, -2, 0, -1, -2, -2, -1]
depressed	-2.3	0.45826	[-2, -2, -2, -2, -2, -3, -3, -3, -2, -2]
depresses	-2.2	0.6	[-2, -2, -2, -2, -3, -3, -1, -2, -3, -2]
depressible	-1.7	0.78102	[-2, -1, 0, -3, -2, -2, -2, -1, -2, -2]
depressing	-1.6	1.28062	[-2, -2, -2, 2, -3, -1, -2, -2, -2, -2]
depressingly	-2.3	0.45826	[-2, -3, -2, -2, -2, -3, -3, -2, -2, -2]
depression	-2.7	0.64031	[-3, -2, -2, -2, -2, -3, -4, -3, -3, -3]
depressions	-2.2	0.6	[-2, -3, -3, -2, -2, -2, -3, -2, -2, -1]
depressive	-1.6	1.11355	[-2, -1, -1, -2, -1, -2, -3, 1, -3, -2]
depressively	-2.1	0.53852	[-3, -2, -3, -2, -2, -2, -2, -1, -2, -2]
depressives	-1.5	0.5	[-2, -1, -1, -2, -1, -1, -1, -2, -2, -2]
depressor	-1.8	1.16619	[-2, -4, -3, 0, 0, -2, -2, -2, -1, -2]
depressors	-1.7	0.9	[-1, -1, -1, -2, -1, -2, -4, -2, -2, -1]
depressurization	-0.3	0.78102	[1, 0, 0, -1, -1, 0, -2, 0, 0, 0]
depressurizations	-0.4	0.91652	[0, 0, 0, 0, 1, -2, -1, 0, -2, 0]
depressurize	-0.5	0.80623	[0, 0, -2, 0, -2, 0, 0, 0, 0, -1]
depressurized	-0.3	0.64031	[0, 0, 0, 0, 0, 0, -1, 0, -2, 0]
depressurizes	-0.3	0.64031	[0, 0, 0, 0, 0, 0, -1, 0, -2, 0]
depressurizing	-0.7	1.34536	[2, 0, -1, -1, -2, -2, 1, -2, 0, -2]
deprival	-2.1	0.7	[-1, -2, -2, -2, -1, -3, -3, -3, -2, -2]
deprivals	-1.2	0.87178	[0, -1, -2, -1, 0, -2, -1, -1, -3, -1]
deprivation	-1.8	1.4	[-3, -2, -3, -2, -1, -2, -2, 2, -2, -3]
deprivations	-1.8	0.74833	[-1, -2, -3, -1, -2, -1, -2, -2, -3, -1]
deprive	-2.1	0.7	[-3, -2, -1, -3, -1, -2, -2, -3, -2, -2]
deprived	-2.1	0.7	[-2, -2, -2, -2, -2, -4, -2, -2, -1, -2]
depriver	-1.6	0.91652	[-1, -2, -1, -2, -1, -4, -2, -1, -1, -1]
deprivers	-1.4	0.66332	[-2, -1, -1, -3, -1, -1, -1, -1, -2, -1]
deprives	-1.7	0.64031	[-2, -2, -1, -2, -1, -3, -2, -1, -1, -2]
depriving	-2.0	0.0	[-2, -2, -2, -2, -2, -2, -2, -2, -2, -2]
derail	-1.2	1.07703	[-1, 1, -1, -2, -1, -2, -1, -3, -2, 0]
derailed	-1.4	0.66332	[-1, -2, -2, 0, -1, -1, -2, -1, -2, -2]
derails	-1.3	0.78102	[-2, -3, -1, -2, -1, -1, 0, -1, -1, -1]
deride	-1.1	1.22066	[-3, -2, -2, -1, -1, -1, 1, -2, -1, 1]
derided	-0.8	0.87178	[-2, -1, -2, 0, 0, -1, -1, -1, 1, -1]
derides	-1.0	1.0	[-1, -2, -2, 0, 0, 1, -1, -2, -1, -2]
deriding	-1.5	0.80623	[-2, -2, 0, 0, -2, -1, -2, -2, -2, -2]
derision	-1.2	1.249	[-1, -2, -2, -2, -1, -1, 1, 1, -3, -2]
desirable	1.3	0.45826	[2, 1, 1, 1, 1, 1, 1, 2, 2, 1]
desire	1.7	0.78102	[1, 1, 2, 1, 3, 3, 1, 2, 2, 1]
desired	1.1	1.04403	[1, 1, 0, 3, 1, 0, 1, 1, 3, 0]
desirous	1.3	0.64031	[1, 2, 1, 2, 2, 1, 2, 1, 0, 1]
despair	-1.3	1.9	[2, -1, -3, -1, -3, 1, -3, 1, -3, -3]
despaired	-2.7	0.45826	[-2, -2, -3, -3, -3, -3, -3, -2, -3, -3]
despairer	-1.3	1.1	[-2, -2, -1, -3, -2, 1, -1, -1, 0, -2]
despairers	-1.3	1.00499	[-2, -1, -1, 1, -2, -1, -2, -1, -1, -3]
despairing	-2.3	0.64031	[-2, -1, -3, -2, -3, -2, -2, -2, -3, -3]
despairingly	-2.2	0.74833	[-2, -2, -2, -2, -4, -2, -3, -1, -2, -2]
despairs	-2.7	1.00499	[-3, -4, -1, -3, -4, -2, -1, -3, -3, -3]
desperate	-1.3	1.34536	[-2, -1, -2, 1, -1, -2, -3, -3, -1, 1]
desperately	-1.6	1.11355	[-3, -3, -2, -1, -2, -1, -2, -2, -1, 1]
desperateness	-1.5	1.36015	[-1, -2, -2, -2, -3, -3, 1, -2, 1, -2]
desperation	-2.0	1.0	[-2, -1, -1, -2, -3, -3, -1, -4, -1, -2]
desperations	-2.2	1.66132	[-1, -4, -2, -4, -4, -1, -1, -2, 1, -4]
despise	-1.4	1.35647	[-2, -3, -1, -2, -1, 1, -3, 1, -2, -2]
despised	-1.7	1.48661	[-2, -1, -3, -2, -3, 1, -3, 1, -2, -3]
despisement	-2.4	0.91652	[-3, -3, -2, -1, -3, -1, -4, -2, -2, -3]
despisements	-2.5	1.0247	[-2, -2, -3, -2, 0, -3, -4, -3, -3, -3]
despiser	-1.8	1.07703	[-2, -1, -3, 1, -2, -2, -3, -2, -2, -2]
despisers	-1.6	1.35647	[-3, -3, -1, -3, -2, -1, -1, 1, 0, -3]
despises	-2.0	1.26491	[-3, -1, -3, 1, -2, -1, -3, -2, -3, -3]
despising	-2.7	0.9	[-4, -3, -3, -4, -1, -2, -3, -2, -2, -3]
despondent	-2.1	0.53852	[-2, -2, -2, -3, -2, -2, -1, -3, -2, -2]
destroy	-2.5	0.67082	[-2, -3, -3, -1, -3, -3, -3, -2, -2, -3]
destroyed	-2.2	0.87178	[-1, -3, -3, -2, -1, -2, -1, -3, -3, -3]
destroyer	-2.0	0.89443	[-2, -3, -3, -3, -1, -2, -2, -2, 0, -2]
destroyers	-2.3	0.78102	[-1, -3, -3, -3, -2, -2, -3, -3, -1, -2]
destroying	-2.6	0.91652	[-2, -4, -4, -2, -1, -3, -2, -3, -2, -3]
destroys	-2.6	0.4899	[-3, -3, -3, -2, -2, -2, -3, -3, -2, -3]
destruct	-2.4	0.4899	[-3, -3, -3, -2, -2, -2, -3, -2, -2, -2]
destructed	-1.9	1.04403	[-4, -1, -2, -2, -2, -1, -3, -2, 0, -2]
destructibility	-1.8	1.07703	[-1, -2, -1, -1, -2, -3, -2, 0, -4, -2]
destructible	-1.5	1.11803	[-2, -2, -2, -1, 1, -1, -3, -1, -3, -1]
destructing	-2.5	0.67082	[-2, -3, -2, -3, -2, -2, -2, -3, -2, -4]
destruction	-2.7	0.9	[-4, -3, -4, -3, -2, -2, -3, -1, -2, -3]
destructionist	-2.6	0.8	[-3, -4, -2, -2, -2, -3, -3, -1, -3, -3]
destructionists	-2.1	0.53852	[-3, -1, -2, -2, -3, -2, -2, -2, -2, -2]
destructions	-2.3	0.78102	[-3, -2, -2, -2, -1, -3, -4, -2, -2, -2]
destructive	-3.0	0.63246	[-3, -4, -3, -2, -3, -3, -3, -2, -4, -3]
destructively	-2.4	0.91652	[-2, -3, -1, -4, -2, -3, -3, -3, -1, -2]
destructiveness	-2.4	0.91652	[-3, -3, -2, -4, -1, -2, -3, -2, -1, -3]
destructivity	-2.2	1.53623	[2, -3, -3, -4, -3, -2, -2, -2, -2, -3]
destructs	-2.4	0.91652	[-2, -1, -2, -4, -4, -2, -3, -2, -2, -2]
detached	-0.5	1.20416	[-1, 2, -1, -1, -2, 0, 1, -2, -1, 0]
detain	-1.8	0.9798	[-3, -1, -2, -2, -4, -2, -1, -1, -1, -1]
detained	-1.7	0.9	[-1, -1, -1, -1, -1, -2, -2, -2, -2, -4]
detention	-1.5	0.67082	[-1, -2, -1, -2, -1, -1, -3, -2, -1, -1]
determinable	0.9	0.7	[2, 1, 1, 1, 0, 1, 2, 0, 0, 1]
determinableness	0.2	1.07703	[0, 0, 0, 1, 0, 1, -1, 2, -2, 1]
determinably	0.9	0.83066	[2, 0, 1, 1, 0, 1, 2, 2, 0, 0]
determinacy	1.0	1.0	[0, 0, 0, 3, 1, 1, 2, 1, 0, 2]
determinant	0.2	0.6	[0, 1, -1, 0, 1, 1, 0, 0, 0, 0]
determinantal	-0.3	1.41774	[0, 0, 0, -4, 0, -1, 0, 0, 2, 0]
determinate	0.8	0.87178	[2, 1, 0, 0, 0, 2, 2, 0, 1, 0]
determinately	1.2	0.6	[1, 2, 0, 1, 1, 1, 2, 1, 2, 1]
determinateness	1.1	0.9434	[1, 1, 1, 0, 0, 2, 3, 1, 0, 2]
determination	1.7	0.78102	[2, 3, 1, 1, 1, 2, 1, 1, 2, 3]
determinations	0.8	1.16619	[0, 3, 1, 0, 1, 3, 0, 0, 0, 0]
determinative	1.1	1.04403	[2, 0, 3, 2, 1, 1, 0, 0, 2, 0]
determinatives	0.9	1.3	[2, 0, -2, 1, 2, 2, 2, 0, 0, 2]
determinator	1.1	1.04403	[3, 0, 1, 0, 1, 0, 2, 2, 0, 2]
determined	1.4	1.35647	[-2, 1, 3, 2, 2, 2, 3, 1, 1, 1]
devastate	-3.1	0.9434	[-4, -4, -1, -4, -4, -3, -3, -3, -2, -3]
devastated	-3.0	0.89443	[-4, -3, -3, -4, -3, -1, -3, -4, -3, -2]
devastates	-2.8	0.9798	[-4, -3, -2, -4, -2, -1, -3, -4, -3, -2]
devastating	-3.3	0.9	[-4, -3, -4, -4, -1, -4, -3, -3, -3, -4]
devastatingly	-2.4	1.28062	[-3, -4, -3, 0, -3, 0, -2, -3, -3, -3]
devastation	-1.8	2.13542	[-1, -1, -3, -3, -4, -3, -4, 2, 2, -3]
devastations	-1.9	1.92094	[-3, -3, -2, -2, 1, -1, 2, -4, -4, -3]
devastative	-3.2	1.16619	[-4, -3, 0, -4, -4, -3, -3, -4, -3, -4]
devastator	-2.8	0.74833	[-3, -3, -2, -2, -3, -2, -3, -4, -2, -4]
devastators	-2.9	1.22066	[-3, -2, -3, -4, -4, -4, 0, -3, -2, -4]
devil	-3.4	0.8	[-4, -3, -4, -4, -4, -4, -2, -3, -2, -4]
deviled	-1.6	1.0198	[-1, -2, 0, -4, -1, -2, -2, -2, -1, -1]
devilfish	-0.8	1.07703	[-2, -3, -1, 0, 0, 0, 0, -2, 0, 0]
devilfishes	-0.6	1.0198	[-3, 0, -2, 0, 0, 0, 0, -1, 0, 0]
deviling	-2.2	0.87178	[-1, -3, -1, -2, -3, -2, -2, -4, -2, -2]
devilish	-2.1	1.04403	[-1, -2, -4, -1, -1, -2, -2, -4, -2, -2]
devilishly	-1.6	0.8	[-2, -2, -3, -1, -2, -2, 0, -2, -1, -1]
devilishness	-2.3	0.9	[-4, -1, -4, -2, -2, -2, -2, -2, -2, -2]
devilkin	-2.4	0.91652	[-3, -1, -2, -3, -2, -4, -2, -3, -3, -1]
devilled	-2.3	1.1	[-3, -1, -2, -3, 0, -4, -2, -3, -2, -3]
devilling	-1.8	1.249	[-3, -1, -1, -2, -2, -3, -4, -2, 0, 0]
devilment	-1.9	0.9434	[-2, -1, -2, -1, -3, -2, -2, -1, -1, -4]
devilments	-1.1	0.7	[-2, -1, -2, -2, -1, 0, 0, -1, -1, -1]
devilries	-1.6	1.35647	[-1, -1, -2, -4, -3, 0, -2, 0, 0, -3]
devilry	-2.8	1.249	[-4, -3, 0, -2, -2, -2, -3, -4, -4, -4]
devils	-2.7	0.9	[-3, -1, -3, -2, -2, -3, -4, -3, -2, -4]
deviltries	-1.5	1.11803	[-1, -2, 1, -2, 0, -2, -2, -3, -2, -2]
deviltry	-2.8	1.32665	[-4, -4, -3, -3, -3, -3, 1, -3, -3, -3]
devilwood	-0.8	1.07703	[0, -1, -2, 0, 0, 0, 0, -3, -2, 0]
devilwoods	-1.0	0.7746	[-2, 0, -2, -1, -1, 0, -1, -2, 0, -1]
devote	1.4	1.28062	[3, 0, 2, -1, 0, 3, 2, 2, 1, 2]
devoted	1.7	1.34536	[2, -1, 3, 2, 1, 0, 1, 3, 3, 3]
devotedly	1.6	1.35647	[1, 1, 2, 2, 3, 2, 2, -2, 2, 3]
devotedness	2.0	1.0	[0, 3, 2, 1, 3, 2, 2, 3, 1, 3]
devotee	1.6	1.11355	[1, 3, 0, 2, 1, 2, 1, 1, 4, 1]
devotees	0.5	1.0247	[0, 0, 3, 0, 0, 0, 2, 0, 0, 0]
devotement	1.5	1.36015	[2, -1, 3, 2, -1, 1, 2, 3, 2, 2]
devotements	1.1	1.04403	[0, 1, 0, 0, 0, 2, 2, 2, 3, 1]
devotes	1.6	0.91652	[2, 3, 0, 2, 2, 3, 1, 1, 1, 1]
devoting	2.1	0.7	[2, 2, 3, 1, 2, 3, 2, 3, 1, 2]
devotion	2.0	1.0	[2, 0, 1, 2, 4, 3, 2, 2, 2, 2]
devotional	1.2	1.16619	[0, 1, 0, 2, 2, 1, 0, 0, 3, 3]
devotionally	2.2	0.4	[2, 2, 2, 3, 2, 3, 2, 2, 2, 2]
devotionals	1.2	1.07703	[3, 1, 1, 0, -1, 2, 2, 2, 1, 1]
devotions	1.8	0.74833	[2, 3, 1, 2, 1, 3, 1, 2, 1, 2]
diamond	1.4	1.42829	[0, 0, 2, 0, 1, 3, 1, 3, 0, 4]
dick	-2.3	1.18743	[-2, -3, -4, -2, 0, -4, -2, -1, -3, -2]
dickhead	-3.1	0.53852	[-4, -3, -3, -3, -4, -2, -3, -3, -3, -3]
die	-2.9	0.9434	[-4, -3, -1, -2, -4, -3, -3, -3, -2, -4]
died	-2.6	1.28062	[-3, -1, -3, -4, -2, -4, -3, -4, -2, 0]
difficult	-1.5	0.5	[-2, -2, -1, -1, -2, -1, -1, -2, -1, -2]
difficulties	-1.2	0.4	[-1, -2, -1, -1, -1, -2, -1, -1, -1, -1]
difficultly	-1.7	0.45826	[-1, -2, -1, -2, -2, -1, -2, -2, -2, -2]
difficulty	-1.4	0.66332	[-2, -2, -2, -2, 0, -1, -1, -2, -1, -1]
diffident	-1.0	0.44721	[-1, -1, -1, -1, -1, 0, -2, -1, -1, -1]
dignified	2.2	0.6	[1, 2, 2, 2, 3, 3, 3, 2, 2, 2]
dignifies	2.0	0.7746	[1, 3, 2, 2, 3, 3, 2, 2, 1, 1]
dignify	1.8	0.74833	[1, 2, 2, 1, 3, 3, 1, 2, 2, 1]
dignifying	2.1	1.04403	[1, 1, 1, 3, 1, 4, 2, 3, 2, 3]
dignitaries	0.6	0.91652	[0, 0, 1, 0, 0, 0, 3, 0, 1, 1]
dignitary	1.9	1.3	[0, 3, 4, 2, 3, 1, 1, 3, 0, 2]
dignities	1.4	0.66332	[1, 2, 1, 1, 3, 2, 1, 1, 1, 1]
dignity	1.7	0.9	[0, 3, 2, 1, 2, 1, 2, 3, 1, 2]
dilemma	-0.7	1.48661	[2, -1, -2, -2, -1, -1, 2, 0, -2, -2]
dipshit	-2.1	0.7	[-1, -2, -2, -3, -2, -3, -3, -2, -2, -1]
dire	-2.0	1.26491	[-2, -3, -3, -2, -3, -1, -1, 1, -3, -3]
direful	-3.1	0.83066	[-3, -3, -3, -3, -4, -1, -4, -3, -4, -3]
dirt	-1.4	0.91652	[-1, -1, -1, 0, -3, -1, -1, -2, -3, -1]
dirtier	-1.4	0.4899	[-2, -1, -1, -2, -1, -2, -1, -1, -2, -1]
dirtiest	-2.4	1.0198	[-4, -3, -2, -1, -2, -3, -1, -2, -4, -2]
dirty	-1.9	0.83066	[-2, -1, -1, -1, -2, -2, -1, -3, -3, -3]
disabling	-2.1	0.53852	[-2, -1, -3, -3, -2, -2, -2, -2, -2, -2]
disadvantage	-1.8	0.4	[-2, -2, -1, -2, -2, -1, -2, -2, -2, -2]
disadvantaged	-1.7	0.64031	[-2, -2, -3, -1, -2, -2, -2, -1, -1, -1]
disadvantageous	-1.8	0.74833	[-1, -2, -2, -1, -3, -1, -1, -2, -3, -2]
disadvantageously	-2.1	0.83066	[-2, -4, -1, -2, -1, -2, -2, -2, -3, -2]
disadvantageousness	-1.6	0.66332	[-1, -1, -3, -2, -1, -1, -2, -1, -2, -2]
disadvantages	-1.7	0.64031	[-2, -2, -3, -1, -2, -2, -2, -1, -1, -1]
disagree	-1.6	0.4899	[-1, -2, -1, -1, -2, -2, -2, -2, -1, -2]
disagreeable	-1.7	0.64031	[-1, -2, -1, -1, -1, -2, -2, -2, -3, -2]
disagreeableness	-1.7	0.64031	[-1, -1, -2, -2, -1, -2, -3, -1, -2, -2]
disagreeablenesses	-1.9	0.9434	[-2, 0, -3, -1, -2, -3, -2, -1, -3, -2]
disagreeably	-1.5	0.67082	[-3, -2, -1, -1, -1, -2, -1, -2, -1, -1]
disagreed	-1.3	0.64031	[-1, -2, -1, -1, -2, 0, -1, -2, -1, -2]
disagreeing	-1.4	0.8	[-1, 0, -1, -2, -2, -1, -3, -1, -1, -2]
disagreement	-1.5	0.67082	[-2, -1, -1, -1, -1, -1, -1, -3, -2, -2]
disagreements	-1.8	0.6	[-2, -3, -1, -2, -2, -1, -2, -2, -1, -2]
disagrees	-1.3	0.45826	[-1, -2, -1, -1, -1, -1, -1, -2, -1, -2]
disappear	-0.9	0.7	[-2, -1, 0, 0, -2, -1, -1, -1, 0, -1]
disappeared	-0.9	0.7	[-2, 0, -1, -1, 0, 0, -2, -1, -1, -1]
disappears	-1.4	0.8	[-2, -2, 0, 0, -2, -1, -2, -1, -2, -2]
disappoint	-1.7	0.64031	[-1, -1, -1, -3, -2, -2, -2, -1, -2, -2]
disappointed	-2.1	0.83066	[-1, -3, -2, -2, -3, -1, -1, -2, -3, -3]
disappointedly	-1.7	0.78102	[-3, -1, -3, -1, -2, -1, -1, -2, -2, -1]
disappointing	-2.2	0.6	[-1, -2, -2, -3, -3, -2, -2, -2, -3, -2]
disappointingly	-1.9	0.7	[-2, -1, -1, -3, -2, -3, -2, -2, -1, -2]
disappointment	-2.3	1.00499	[-3, -1, -4, -1, -3, -1, -3, -2, -2, -3]
disappointments	-2.0	1.09545	[-1, -2, -4, -3, -2, -2, -3, 0, -2, -1]
disappoints	-1.6	0.4899	[-2, -1, -1, -1, -2, -1, -2, -2, -2, -2]
disaster	-3.1	0.83066	[-2, -4, -4, -3, -3, -2, -4, -3, -2, -4]
disasters	-2.6	0.8	[-2, -2, -3, -1, -3, -3, -2, -4, -3, -3]
disastrous	-2.9	0.53852	[-2, -2, -3, -3, -3, -3, -4, -3, -3, -3]
disbelieve	-1.2	0.87178	[-1, -2, -1, -2, -1, 0, 0, -1, -3, -1]
discard	-1.0	0.44721	[-1, -1, -1, -1, 0, -1, -1, -1, -2, -1]
discarded	-1.4	0.91652	[-1, -1, -1, -1, 0, -1, -2, -3, -3, -1]
discarding	-0.7	0.45826	[-1, 0, -1, -1, -1, 0, -1, 0, -1, -1]
discards	-1.0	0.63246	[0, -1, -1, -1, -2, 0, -2, -1, -1, -1]
discomfort	-1.8	0.6	[-2, -2, -2, -1, -1, -3, -2, -2, -1, -2]
discomfortable	-1.6	0.8	[-1, -1, -1, -2, -3, -1, -2, -1, -3, -1]
discomforted	-1.6	0.8	[-1, -1, -1, -2, -3, -3, -1, -1, -1, -2]
discomforting	-1.6	1.11355	[-1, -2, -1, -1, -2, 1, -3, -2, -3, -2]
discomforts	-1.3	0.9	[-2, -1, -2, -1, -1, -2, -2, -1, 1, -2]
disconsolate	-2.3	0.78102	[-1, -2, -2, -3, -2, -2, -2, -4, -3, -2]
disconsolation	-1.7	0.45826	[-2, -2, -1, -2, -1, -1, -2, -2, -2, -2]
discontented	-1.8	0.9798	[-1, -3, -1, -2, -4, -2, -1, -2, -1, -1]
discord	-1.7	0.64031	[-3, -2, -2, -2, -2, -1, -1, -1, -1, -2]
discounted	0.2	1.249	[-1, 0, 3, -1, 0, 1, 1, 1, -1, -1]
discourage	-1.8	0.6	[-2, -2, -1, -2, -1, -1, -2, -2, -3, -2]
discourageable	-1.2	0.9798	[-1, -2, -1, 1, -1, -1, -1, -2, -3, -1]
discouraged	-1.7	0.45826	[-2, -1, -2, -2, -2, -2, -1, -1, -2, -2]
discouragement	-2.0	0.89443	[-4, -1, -2, -2, -1, -1, -3, -2, -2, -2]
discouragements	-1.8	0.6	[-2, -2, -2, -1, -1, -3, -2, -1, -2, -2]
discourager	-1.7	0.78102	[-2, -1, -3, -2, -1, -3, -1, -2, -1, -1]
discouragers	-1.9	0.53852	[-2, -2, -2, -2, -1, -1, -3, -2, -2, -2]
discourages	-1.9	0.53852	[-2, -1, -2, -2, -2, -2, -1, -3, -2, -2]
discouraging	-1.9	0.7	[-2, -2, -2, -3, -1, -1, -2, -1, -2, -3]
discouragingly	-1.8	0.87178	[-2, -1, -3, -1, -1, -3, -2, -1, -3, -1]
discredited	-1.9	0.53852	[-2, -2, -2, -2, -1, -3, -1, -2, -2, -2]
disdain	-2.1	0.3	[-3, -2, -2, -2, -2, -2, -2, -2, -2, -2]
disgrace	-2.2	0.74833	[-2, -4, -1, -2, -2, -2, -2, -3, -2, -2]
disgraced	-2.0	0.44721	[-3, -2, -2, -2, -1, -2, -2, -2, -2, -2]
disguise	-1.0	1.09545	[-2, -1, 0, 0, 0, 0, -3, -2, -2, 0]
disguised	-1.1	1.04403	[-3, 0, 0, -1, -1, 0, -3, -1, -1, -1]
disguises	-1.0	0.63246	[-2, 0, 0, -1, -1, -1, -2, -1, -1, -1]
disguising	-1.3	0.78102	[0, -2, -1, -1, -1, -2, -1, -1, -3, -1]
disgust	-2.9	0.7	[-3, -3, -4, -2, -3, -3, -4, -2, -3, -2]
disgusted	-2.4	0.91652	[-4, -3, -3, -1, -3, -1, -2, -2, -2, -3]
disgustedly	-3.0	0.89443	[-2, -3, -4, -4, -2, -4, -4, -2, -3, -2]
disgustful	-2.6	0.4899	[-3, -3, -2, -2, -2, -2, -3, -3, -3, -3]
disgusting	-2.4	1.11355	[-3, -2, -3, -4, -1, -3, -1, -4, -1, -2]
disgustingly	-2.9	0.7	[-3, -3, -4, -3, -3, -2, -2, -4, -2, -3]
disgusts	-2.1	0.53852	[-2, -2, -3, -2, -2, -2, -2, -3, -1, -2]
dishearten	-2.0	0.63246	[-3, -1, -2, -3, -2, -2, -1, -2, -2, -2]
disheartened	-2.2	0.74833	[-2, -2, -2, -1, -2, -2, -4, -3, -2, -2]
disheartening	-1.8	1.32665	[-2, -2, -2, -3, -2, 2, -2, -2, -3, -2]
dishearteningly	-2.0	0.63246	[-2, -3, -2, -1, -2, -2, -2, -3, -2, -1]
disheartenment	-2.3	0.45826	[-3, -2, -3, -2, -2, -2, -2, -3, -2, -2]
disheartenments	-2.2	0.87178	[-2, -3, -3, -3, -3, -1, -1, -1, -2, -3]
disheartens	-2.2	0.4	[-3, -2, -2, -2, -3, -2, -2, -2, -2, -2]
dishonest	-2.7	0.9	[-3, -2, -1, -4, -3, -2, -4, -3, -3, -2]
disillusion	-1.0	1.18322	[-2, 0, -2, -1, -2, 1, -2, -1, 1, -2]
disillusioned	-1.9	0.7	[-2, -2, -3, -2, -3, -1, -1, -1, -2, -2]
disillusioning	-1.3	1.00499	[-2, -2, 1, -2, 0, -2, -2, -1, -1, -2]
disillusionment	-1.7	0.78102	[-1, -3, -2, -3, -1, -2, -2, -1, -1, -1]
disillusionments	-1.5	1.0247	[-2, 1, -3, -2, -1, -1, -2, -1, -2, -2]
disillusions	-1.6	0.4899	[-2, -2, -2, -1, -1, -1, -2, -2, -1, -2]
disinclined	-1.1	0.53852	[0, -1, -1, -1, -1, -1, -1, -2, -2, -1]
disjointed	-1.3	0.45826	[-1, -1, -2, -1, -1, -2, -1, -2, -1, -1]
dislike	-1.6	0.4899	[-2, -1, -1, -2, -2, -1, -2, -1, -2, -2]
disliked	-1.7	0.64031	[-2, -3, -2, -1, -1, -1, -2, -2, -1, -2]
dislikes	-1.7	0.78102	[-2, -2, -1, -1, -2, -1, -3, -3, -1, -1]
disliking	-1.3	0.45826	[-1, -1, -2, -2, -2, -1, -1, -1, -1, -1]
dismal	-3.0	1.0	[-2, -1, -4, -4, -3, -2, -3, -4, -4, -3]
dismay	-1.8	0.87178	[-3, -1, -1, -3, -1, -1, -3, -1, -2, -2]
dismayed	-1.9	0.9434	[-1, -2, -1, -3, -4, -1, -2, -2, -1, -2]
dismaying	-2.2	0.9798	[-2, -3, -2, -3, -3, 0, -2, -1, -3, -3]
dismayingly	-1.9	0.83066	[-2, -3, -2, -3, -2, -1, -2, -2, 0, -2]
dismays	-1.8	1.07703	[-1, -1, -4, -3, -2, -1, -2, 0, -2, -2]
disorder	-1.7	0.64031	[-2, -1, -1, -2, -2, -1, -3, -1, -2, -2]
disorganized	-1.2	0.4	[-1, -1, -1, -1, -1, -2, -1, -2, -1, -1]
disoriented	-1.5	0.67082	[-2, -2, -1, 0, -1, -2, -2, -1, -2, -2]
disparage	-2.0	0.44721	[-2, -2, -2, -1, -2, -2, -2, -3, -2, -2]
disparaged	-1.4	0.8	[-1, -2, -2, -3, -1, -1, -1, -2, 0, -1]
disparages	-1.6	0.8	[-1, -2, -3, -2, -1, -1, -2, -2, 0, -2]
disparaging	-2.2	0.6	[-3, -1, -2, -2, -2, -3, -3, -2, -2, -2]
displeased	-1.9	0.7	[-3, -2, -1, -1, -3, -2, -2, -1, -2, -2]
dispute	-1.7	0.78102	[-1, -3, -1, -1, -2, -1, -2, -2, -3, -1]
disputed	-1.4	0.66332	[-2, -2, -2, -2, 0, -1, -1, -1, -1, -2]
disputes	-1.1	1.64012	[-2, -2, -2, 2, -3, -1, -2, 2, -1, -2]
disputing	-1.7	0.64031	[-2, -2, -2, -2, -1, -1, -3, -1, -1, -2]
disqualified	-1.8	0.6	[-1, -2, -1, -2, -1, -2, -2, -3, -2, -2]
disquiet	-1.3	0.9	[-1, -2, -2, -1, -1, -1, 1, -2, -2, -2]
disregard	-1.1	0.53852	[-1, -1, -2, -1, -1, -2, -1, -1, 0, -1]
disregarded	-1.6	0.4899	[-1, -1, -2, -2, -2, -2, -1, -2, -1, -2]
disregarding	-0.9	0.53852	[-1, 0, -1, 0, -2, -1, -1, -1, -1, -1]
disregards	-1.4	0.4899	[-1, -1, -2, -1, -2, -2, -2, -1, -1, -1]
disrespect	-1.8	0.6	[-2, -2, -2, -1, -2, -2, -1, -3, -1, -2]
disrespected	-2.0	0.63246	[-2, -2, -2, -2, -2, -3, -3, -1, -1, -2]
disruption	-1.5	0.67082	[-1, -1, -1, -2, -1, -3, -2, -2, -1, -1]
disruptions	-1.4	0.4899	[-1, -2, -1, -1, -1, -2, -2, -2, -1, -1]
disruptive	-1.3	1.00499	[-4, 0, -1, -1, -1, -1, -1, -1, -2, -1]
dissatisfaction	-2.2	0.74833	[-4, -2, -2, -2, -1, -3, -2, -2, -2, -2]
dissatisfactions	-1.9	0.83066	[-1, -3, -3, -1, -2, -1, -2, -2, -1, -3]
dissatisfactory	-2.0	0.63246	[-2, -2, -3, -1, -2, -3, -2, -2, -1, -2]
dissatisfied	-1.6	0.66332	[-2, -3, -1, -2, -1, -1, -2, -2, -1, -1]
dissatisfies	-1.8	0.74833	[-3, -3, -1, -1, -2, -1, -2, -2, -2, -1]
dissatisfy	-2.2	0.6	[-2, -3, -2, -2, -2, -2, -3, -3, -1, -2]
dissatisfying	-2.4	0.91652	[-3, -1, -4, -3, -2, -1, -2, -2, -3, -3]
distort	-1.3	0.45826	[-2, -1, -1, -1, -2, -1, -1, -1, -1, -2]
distorted	-1.7	0.78102	[-3, -1, -3, -1, -2, -1, -2, -2, -1, -1]
distorting	-1.1	0.53852	[0, -1, -1, -1, -2, -1, -1, -1, -2, -1]
distorts	-1.4	0.4899	[-2, -1, -1, -1, -2, -2, -2, -1, -1, -1]
distract	-1.2	0.6	[-1, -1, 0, -2, -1, -1, -1, -2, -1, -2]
distractable	-1.3	1.00499	[-2, 0, 1, -2, -2, -1, -1, -2, -2, -2]
distracted	-1.4	0.66332	[-1, -3, -1, -2, -2, -1, -1, -1, -1, -1]
distractedly	-0.9	0.7	[-1, -1, 0, -2, -1, 0, -1, 0, -1, -2]
distractibility	-1.3	1.1	[-1, -1, -3, -1, 0, -3, -2, 0, -2, 0]
distractible	-1.5	0.92195	[-1, -2, -1, -1, -4, -1, -1, -1, -2, -1]
distracting	-1.2	0.4	[-2, -1, -1, -1, -1, -1, -2, -1, -1, -1]
distractingly	-1.4	1.0198	[-4, 0, -1, -1, -1, -2, -1, -1, -2, -1]
distraction	-1.6	0.66332	[-1, -2, -2, -1, -1, -3, -1, -1, -2, -2]
distractions	-1.0	0.0	[-1, -1, -1, -1, -1, -1, -1, -1, -1, -1]
distractive	-1.6	0.4899	[-2, -2, -1, -1, -1, -1, -2, -2, -2, -2]
distracts	-1.3	0.45826	[-1, -1, -2, -1, -1, -2, -1, -2, -1, -1]
distraught	-2.6	0.8	[-2, -3, -2, -3, -4, -2, -3, -3, -1, -3]
distress	-2.4	0.8	[-1, -2, -2, -3, -3, -4, -3, -2, -2, -2]
distressed	-1.8	0.6	[-2, -2, -2, -3, -2, -2, -1, -1, -2, -1]
distresses	-1.6	0.66332	[-2, -1, -1, -2, -2, -2, -1, -1, -3, -1]
distressful	-2.2	0.6	[-1, -3, -3, -2, -2, -3, -2, -2, -2, -2]
distressfully	-1.7	1.1	[-1, -3, -2, 1, -3, -1, -2, -2, -2, -2]
distressfulness	-2.4	0.66332	[-2, -3, -2, -3, -3, -3, -2, -1, -3, -2]
distressing	-1.7	1.18743	[-3, -3, -1, -1, -2, -2, -3, -2, 1, -1]
distressingly	-2.2	0.74833	[-3, -1, -2, -3, -3, -3, -2, -2, -2, -1]
distrust	-1.8	0.87178	[-1, -2, -2, -2, -1, -1, -2, -4, -1, -2]
distrusted	-2.4	0.66332	[-1, -3, -3, -3, -2, -2, -3, -2, -2, -3]
distrustful	-2.1	0.83066	[-1, -3, -2, -2, -3, -1, -1, -3, -2, -3]
distrustfully	-1.8	0.6	[-2, -1, -1, -2, -1, -2, -3, -2, -2, -2]
distrustfulness	-1.6	0.66332	[-2, -1, -2, -1, -2, -1, -1, -3, -1, -2]
distrusting	-2.1	0.83066	[-1, -2, -2, -2, -3, -3, -1, -3, -1, -3]
distrusts	-1.3	0.45826	[-1, -1, -2, -1, -2, -1, -2, -1, -1, -1]
disturb	-1.7	0.45826	[-2, -1, -1, -2, -2, -2, -1, -2, -2, -2]
disturbance	-1.6	0.8	[-1, -2, -1, -2, -2, -3, -1, -2, 0, -2]
disturbances	-1.4	0.66332	[-1, -1, -1, -2, -1, -1, -1, -1, -3, -2]
disturbed	-1.6	0.4899	[-2, -2, -1, -1, -2, -2, -1, -2, -1, -2]
disturber	-1.4	0.4899	[-2, -1, -1, -2, -2, -1, -1, -2, -1, -1]
disturbers	-2.1	0.53852	[-2, -2, -2, -2, -2, -3, -3, -2, -1, -2]
disturbing	-2.3	0.45826	[-2, -2, -3, -3, -2, -2, -3, -2, -2, -2]
disturbingly	-2.3	0.78102	[-2, -2, -1, -3, -4, -3, -2, -2, -2, -2]
disturbs	-1.9	0.53852	[-2, -2, -1, -2, -3, -2, -1, -2, -2, -2]
dithering	-0.5	0.92195	[0, 0, 0, 0, 1, -1, -2, -2, -1, 0]
divination	1.7	1.1	[2, 3, 0, 1, 2, 1, 3, 3, 2, 0]
divinations	1.1	1.04403	[1, 0, 1, 2, 2, 0, 3, 2, 0, 0]
divinatory	1.6	1.42829	[4, 1, 0, 0, 1, 3, 3, 0, 1, 3]
divine	2.6	0.8	[3, 3, 3, 2, 1, 2, 3, 4, 2, 3]
divined	0.8	1.16619	[1, 0, 3, 0, 0, 1, 0, 3, 0, 0]
divinely	2.9	0.7	[3, 2, 3, 3, 2, 4, 3, 2, 4, 3]
diviner	0.3	0.9	[0, 0, 3, 0, 0, 0, 0, 0, 0, 0]
diviners	1.2	1.16619	[0, 1, 0, 2, 2, 0, 3, 1, 3, 0]
divines	0.8	1.249	[0, 0, 3, 0, 0, 0, 3, 2, 0, 0]
divinest	2.7	0.78102	[3, 4, 2, 4, 2, 2, 2, 3, 2, 3]
diving	0.3	0.45826	[1, 0, 0, 0, 0, 1, 0, 1, 0, 0]
divining	0.9	1.37477	[0, -1, 2, 0, 1, 0, 2, 4, 1, 0]
divinise	0.5	1.36015	[0, 2, 0, 0, 0, 0, 0, -2, 2, 3]
divinities	1.8	1.46969	[1, 3, 3, 4, 0, 0, 1, 0, 3, 3]
divinity	2.7	1.00499	[4, 4, 2, 3, 3, 1, 2, 4, 2, 2]
divinize	2.3	1.00499	[4, 2, 2, 3, 4, 1, 1, 2, 2, 2]
dizzy	-0.9	0.3	[-1, -1, -1, -1, -1, -1, -1, -1, 0, -1]
dodging	-0.4	0.8	[-1, -1, 0, 1, 0, -1, 0, 0, -2, 0]
dodgy	-0.9	0.9434	[-1, -1, -1, -3, -1, 1, -1, -1, -1, 0]
dolorous	-2.2	0.6	[-2, -2, -2, -3, -3, -3, -2, -2, -1, -2]
dominance	0.8	0.87178	[2, 0, 0, 2, 1, 0, 0, 1, 2, 0]
dominances	-0.1	0.9434	[-1, 0, 1, 1, 0, -1, 0, 1, 0, -2]
dominantly	0.2	1.16619	[-2, 0, 0, -1, 2, 1, 2, 0, 0, 0]
dominants	0.2	1.16619	[0, 2, -1, 0, -1, -1, -1, 1, 1, 2]
dominate	-0.5	0.92195	[0, -1, 1, -1, 1, -1, -2, 0, -1, -1]
dominates	0.2	1.249	[1, 0, -2, -1, 1, -1, 2, 0, 0, 2]
dominating	-1.2	1.98997	[-4, -1, -4, -1, -3, -1, -1, 2, 2, -1]
domination	-0.2	0.9798	[0, 1, 0, -1, -1, -1, 0, 2, -1, -1]
dominations	-0.3	0.45826	[0, 0, 0, 0, 0, -1, 0, -1, -1, 0]
dominative	-0.7	1.18743	[-1, -1, -2, -2, -1, -1, -1, 2, 1, -1]
dominators	-0.4	1.8	[-1, -2, -2, -2, 0, 2, 2, -3, 2, 0]
dominatrices	-0.2	1.6	[-3, 0, 2, 0, -2, -2, 0, 1, 2, 0]
dominatrix	-0.5	0.92195	[0, 0, -1, 0, 0, 1, 0, -1, -2, -2]
dominatrixes	0.6	1.35647	[0, 4, 0, -1, 0, 2, 1, 0, 0, 0]
doom	-1.7	1.26886	[-2, -1, -1, -4, -2, -2, 1, -3, -1, -2]
doomed	-3.2	0.74833	[-3, -3, -4, -4, -4, -2, -4, -3, -3, -2]
doomful	-2.1	0.7	[-3, -2, -3, -1, -2, -3, -2, -1, -2, -2]
dooming	-2.8	0.4	[-2, -3, -2, -3, -3, -3, -3, -3, -3, -3]
dooms	-1.1	1.57797	[1, -3, -1, -3, -2, -1, -3, 1, 1, -1]
doomsayer	-0.7	1.41774	[2, -1, -2, -1, 1, -2, -2, -1, 1, -2]
doomsayers	-1.7	0.78102	[-1, -2, -3, 0, -2, -2, -2, -1, -2, -2]
doomsaying	-1.5	1.28452	[-3, -2, -2, 0, 1, 0, -3, -2, -2, -2]
doomsayings	-1.5	0.92195	[-2, -1, -1, -2, -2, 0, 0, -2, -3, -2]
doomsday	-2.8	1.249	[-3, -1, -3, -4, -3, -4, 0, -4, -3, -3]
doomsdayer	-2.2	1.249	[-3, -1, -4, -3, -4, -3, -1, -1, -1, -1]
doomsdays	-2.4	1.85472	[-3, -2, -4, 1, -4, -3, -2, -4, 1, -4]
doomster	-2.2	0.87178	[-2, -1, -2, -3, -1, -3, -1, -3, -3, -3]
doomsters	-1.6	0.8	[-3, -1, -2, -2, 0, -2, -2, -1, -1, -2]
doomy	-1.1	1.37477	[2, -2, -1, -2, -2, -2, -2, 1, -1, -2]
dork	-1.4	0.66332	[-1, -2, -2, -1, -1, -1, -3, -1, -1, -1]
dorkier	-1.1	0.53852	[-1, -1, -1, -1, -2, 0, -1, -2, -1, -1]
dorkiest	-1.2	0.74833	[-1, -2, -1, -3, -1, 0, -1, -1, -1, -1]
dorks	-0.5	0.67082	[-1, 1, -1, -1, -1, -1, 0, 0, -1, 0]
dorky	-1.1	1.04403	[-1, 0, -1, 1, -1, -1, -3, -2, -2, -1]
doubt	-1.5	0.5	[-1, -1, -2, -2, -1, -1, -2, -1, -2, -2]
doubtable	-1.5	0.5	[-1, -1, -2, -1, -2, -1, -2, -2, -1, -2]
doubted	-1.1	1.22066	[-1, -2, -2, 2, -1, -1, -2, -2, -2, 0]
doubter	-1.6	0.91652	[-1, -3, -2, -1, -1, -1, -2, -2, -3, 0]
doubters	-1.3	0.45826	[-1, -1, -1, -1, -1, -2, -1, -2, -2, -1]
doubtful	-1.4	0.4899	[-1, -1, -2, -1, -2, -2, -1, -1, -2, -1]
doubtfully	-1.2	0.4	[-1, -1, -1, -1, -1, -1, -2, -1, -1, -2]
doubtfulness	-1.2	0.4	[-2, -1, -1, -1, -1, -1, -1, -1, -1, -2]
doubting	-1.4	0.4899	[-1, -1, -1, -2, -2, -1, -1, -1, -2, -2]
doubtingly	-1.4	0.4899	[-2, -2, -1, -1, -1, -1, -1, -2, -2, -1]
doubtless	0.9	1.51327	[2, 2, 1, 2, -2, 2, -2, 1, 1, 2]
doubtlessly	1.2	0.9798	[2, 1, 1, 2, 0, -1, 2, 1, 2, 2]
doubtlessness	0.8	0.9798	[2, 1, 2, 0, 0, 0, 2, -1, 1, 1]
doubts	-1.2	0.6	[-2, -1, -1, -1, -2, -2, -1, 0, -1, -1]
douche	-1.5	1.68819	[-3, -2, -3, 1, 1, -2, -3, -2, 1, -3]
douchebag	-3.0	0.44721	[-3, -3, -3, -3, -3, -3, -2, -3, -4, -3]
downcast	-1.8	0.74833	[-1, -1, -1, -2, -2, -2, -1, -3, -3, -2]
downhearted	-2.3	0.78102	[-1, -2, -2, -4, -2, -2, -2, -3, -3, -2]
downside	-1.0	0.7746	[-1, -1, -1, -1, -1, -1, -2, 1, -2, -1]
drag	-0.9	0.83066	[-1, -2, -1, -1, -2, -1, -1, 1, 0, -1]
dragged	-0.2	1.07703	[-2, -1, 0, 0, -1, 0, 0, 1, 2, -1]
drags	-0.7	0.64031	[0, -1, 0, -1, -1, -2, -1, 0, 0, -1]
drained	-1.5	0.5	[-1, -1, -2, -2, -1, -2, -1, -2, -1, -2]
dread	-2.0	0.63246	[-2, -3, -2, -2, -2, -2, -3, -1, -1, -2]
dreaded	-2.7	0.64031	[-2, -3, -3, -3, -4, -3, -2, -2, -2, -3]
dreadful	-1.9	1.86815	[-4, -2, -2, 2, -1, -4, -1, 0, -3, -4]
dreadfully	-2.7	1.26886	[-4, -4, -3, -4, -3, -1, -2, -1, -1, -4]
dreadfulness	-3.2	0.87178	[-3, -4, -2, -3, -4, -4, -2, -2, -4, -4]
dreadfuls	-2.4	1.2	[-4, -3, -3, -2, -3, -2, -4, 0, -1, -2]
dreading	-2.4	0.8	[-3, -2, -2, -2, -2, -2, -3, -4, -3, -1]
dreadlock	-0.4	0.66332	[0, 0, 0, 0, 0, -1, -2, 0, -1, 0]
dreadlocks	-0.2	0.9798	[0, 0, 0, 0, 0, -1, -2, 2, 0, -1]
dreadnought	-0.6	1.35647	[-2, 0, 0, 0, -3, 0, -1, -2, 0, 2]
dreadnoughts	-0.4	0.66332	[0, -1, -1, 0, 0, 0, 0, 0, -2, 0]
dreads	-1.4	1.42829	[0, -1, 0, 0, -3, -3, 0, -4, -2, -1]
dream	1.0	1.18322	[0, 1, 2, 0, 0, 3, 0, 3, 1, 0]
dreams	1.7	1.1	[2, 2, 3, 0, 1, 1, 1, 4, 1, 2]
dreary	-1.4	0.4899	[-1, -1, -2, -1, -1, -2, -2, -1, -2, -1]
droopy	-0.8	0.74833	[-1, -1, 0, -1, -2, 0, 0, -1, 0, -2]
drop	-1.1	0.53852	[0, -1, -1, -1, -2, -1, -2, -1, -1, -1]
drown	-2.7	1.00499	[-4, -2, -2, -4, -4, -2, -3, -1, -3, -2]
drowned	-2.9	0.7	[-2, -3, -3, -3, -2, -4, -4, -2, -3, -3]
drowns	-2.2	1.6	[-3, -3, -3, -4, -2, -3, -1, -2, 2, -3]
drunk	-1.4	0.91652	[-3, -1, 0, -2, 0, -1, -1, -2, -2, -2]
dubious	-1.5	0.5	[-1, -2, -2, -1, -1, -2, -1, -1, -2, -2]
dud	-1.0	0.89443	[-1, -1, -1, 0, -3, 0, -1, 0, -1, -2]
dull	-1.7	0.45826	[-2, -2, -2, -1, -2, -2, -2, -1, -1, -2]
dullard	-1.6	0.66332	[-2, -1, -1, -2, -2, -1, -1, -2, -1, -3]
dullards	-1.8	0.87178	[-1, -3, -1, -1, -3, -1, -1, -2, -3, -2]
dulled	-1.5	0.5	[-2, -1, -2, -1, -1, -1, -2, -2, -1, -2]
duller	-1.7	0.64031	[-3, -1, -2, -2, -2, -1, -2, -1, -1, -2]
dullest	-1.7	1.00499	[-1, -4, -1, -1, -2, -3, -2, -1, -1, -1]
dulling	-1.1	0.7	[-1, -2, 0, -1, -2, -2, 0, -1, -1, -1]
dullish	-1.1	0.53852	[-2, -1, -1, -1, -1, -1, -1, -1, 0, -2]
dullness	-1.4	0.8	[-1, -1, -1, -1, -1, -1, -3, -1, -3, -1]
dullnesses	-1.9	1.04403	[-3, -2, -1, -1, -3, -1, -4, -1, -2, -1]
dulls	-1.0	0.44721	[-1, -1, -1, -1, -1, -1, 0, -1, -1, -2]
dullsville	-2.4	0.8	[-2, -2, -4, -3, -2, -2, -3, -2, -3, -1]
dully	-1.1	0.3	[-1, -1, -1, -1, -1, -1, -1, -1, -1, -2]
dumb	-2.3	0.9	[-4, -2, -2, -2, -2, -2, -4, -2, -2, -1]
dumbass	-2.6	1.0198	[-3, -3, -4, -4, -1, -2, -3, -3, -1, -2]
dumbbell	-0.8	0.9798	[0, -1, -3, -2, 0, -1, 0, 0, -1, 0]
dumbbells	-0.2	0.4	[0, -1, 0, 0, 0, 0, 0, -1, 0, 0]
dumbcane	-0.3	0.45826	[0, 0, 0, 0, 0, -1, -1, 0, -1, 0]
dumbcanes	-0.6	1.2	[0, 0, -1, -1, -1, 2, 0, -1, -3, -1]
dumbed	-1.4	0.4899	[-2, -1, -2, -2, -2, -1, -1, -1, -1, -1]
dumber	-1.5	0.5	[-2, -1, -2, -1, -2, -1, -1, -2, -2, -1]
dumbest	-2.3	1.00499	[-3, -1, -3, -4, -2, -1, -2, -3, -1, -3]
dumbfound	-0.1	1.92094	[3, -2, -1, -1, 1, 1, -3, 3, -1, -1]
dumbfounded	-1.6	1.11355	[-2, 0, -2, 0, -2, -1, -4, -1, -2, -2]
dumbfounder	-1.0	0.89443	[-2, 0, 0, 0, -2, -1, -2, 0, -2, -1]
dumbfounders	-1.0	0.89443	[-1, -3, -1, 0, -2, 0, -1, 0, -1, -1]
dumbfounding	-0.8	0.74833	[-1, -2, 0, -1, -1, 0, 0, -1, 0, -2]
dumbfounds	-0.3	1.26886	[0, -1, -1, 0, 0, -1, -1, -2, 0, 3]
dumbhead	-2.6	0.66332	[-3, -4, -3, -2, -2, -3, -3, -2, -2, -2]
dumbheads	-1.9	0.83066	[-2, -2, -2, -1, -2, -1, -2, -4, -1, -2]
dumbing	-0.5	1.0247	[-1, 2, -1, 0, -1, -2, -1, 0, 0, -1]
dumbly	-1.3	1.00499	[-2, -1, -2, -3, 1, -2, -1, -1, -1, -1]
dumbness	-1.9	0.53852	[-2, -2, -2, -2, -2, -3, -2, -2, -1, -1]
dumbs	-1.5	0.67082	[-1, -1, -1, -3, -2, -1, -2, -1, -2, -1]
dumbstruck	-1.0	1.34164	[-1, -2, 0, 0, -2, 1, -3, 1, -2, -2]
dumbwaiter	0.2	1.07703	[0, 0, 0, 0, 2, 0, 2, 0, -2, 0]
dumbwaiters	-0.1	0.3	[0, 0, 0, 0, 0, 0, -1, 0, 0, 0]
dump	-1.6	0.91652	[-3, -2, -1, -2, -1, -3, -2, -1, -1, 0]
dumpcart	-0.6	0.8	[0, -2, -1, 0, 0, 0, -1, 0, -2, 0]
dumped	-1.7	0.78102	[-2, -3, -2, -1, -1, -1, -3, -2, -1, -1]
dumper	-1.2	0.87178	[-2, -3, -1, -1, -1, -2, 0, -1, 0, -1]
dumpers	-0.8	0.6	[0, 0, -2, -1, -1, 0, -1, -1, -1, -1]
dumpier	-1.4	0.66332	[-2, -1, -2, -1, -1, -2, 0, -2, -1, -2]
dumpiest	-1.6	1.35647	[-1, -2, -2, -3, -2, -4, 1, 0, -1, -2]
dumpiness	-1.2	0.6	[-2, -1, 0, -1, -1, -2, -1, -2, -1, -1]
dumping	-1.3	1.1	[-3, -2, -2, 0, -2, -1, -1, 1, -1, -2]
dumpings	-1.1	0.83066	[-2, 0, -1, -1, 0, -1, -2, -2, 0, -2]
dumpish	-1.8	0.6	[-2, -1, -2, -3, -2, -2, -1, -2, -2, -1]
dumpling	0.4	0.91652	[0, 0, 1, 0, -1, 2, 2, 0, 0, 0]
dumplings	-0.3	1.26886	[0, 0, 0, 0, 2, 0, 0, 0, -2, -3]
dumps	-1.7	0.9	[-3, -2, -3, -1, -1, -3, -1, -1, -1, -1]
dumpster	-0.6	0.91652	[0, -2, 0, -2, 0, 0, 0, -2, 0, 0]
dumpsters	-1.0	0.89443	[0, -1, 0, -2, -2, -2, 0, 0, -1, -2]
dumpy	-1.7	0.78102	[-3, -2, -3, -1, -1, -2, -2, -1, -1, -1]
dupe	-1.5	0.5	[-2, -2, -1, -1, -2, -1, -2, -1, -2, -1]
duped	-1.8	0.4	[-2, -2, -1, -2, -2, -2, -2, -1, -2, -2]
dwell	0.5	0.92195	[2, 1, -1, 0, -1, 1, 1, 1, 1, 0]
dwelled	0.4	0.66332	[2, 0, 0, 0, 0, 1, 1, 0, 0, 0]
dweller	0.3	0.64031	[2, 0, 0, 0, 0, 0, 1, 0, 0, 0]
dwellers	-0.3	0.9	[-3, 0, 0, 0, 0, 0, 0, 0, 0, 0]
dwelling	0.1	0.53852	[0, 1, 0, 1, 0, 0, 0, -1, 0, 0]
dwells	-0.1	0.53852	[0, 0, 0, 0, -1, 1, -1, 0, 0, 0]
dynamic	1.6	0.8	[1, 1, 1, 3, 1, 1, 2, 3, 2, 1]
dynamical	1.2	0.87178	[1, 2, 0, 1, 0, 2, 2, 2, 2, 0]
dynamically	1.5	1.0247	[2, 0, 3, 2, 0, 0, 2, 2, 2, 2]
dynamics	1.1	1.13578	[2, 3, 0, 0, 0, 2, 2, 0, 2, 0]
dynamism	1.6	1.11355	[0, 2, 0, 2, 0, 2, 3, 3, 2, 2]
dynamisms	1.2	0.9798	[2, 0, 2, 0, 0, 2, 2, 2, 0, 2]
dynamist	1.4	1.0198	[0, 2, 0, 2, 0, 1, 3, 2, 2, 2]
dynamistic	1.5	1.0247	[3, 1, 1, 2, 1, 3, 2, 0, 2, 0]
dynamists	0.9	0.83066	[1, 0, 0, 0, 0, 2, 2, 1, 2, 1]
dynamite	0.7	2.2383	[-3, 2, 3, 1, 2, 0, 2, 2, 2, -4]
dynamited	-0.9	1.04403	[0, 0, 0, -1, -1, 0, -2, 0, -2, -3]
dynamiter	-1.2	0.87178	[-1, 0, -1, -1, -2, 0, -1, -1, -2, -3]
dynamiters	0.4	1.42829	[0, 0, 0, -3, 1, 0, 2, 2, 2, 0]
dynamites	-0.3	1.73494	[0, 0, 4, -1, -1, 0, 0, 0, -2, -3]
dynamitic	0.9	1.3	[2, 0, 1, -2, 2, 1, 1, 3, 0, 1]
dynamiting	0.2	1.32665	[-2, 0, 0, 2, -1, -1, 0, 2, 2, 0]
dynamometer	0.3	0.64031	[0, 0, 0, 0, 1, 0, 0, 2, 0, 0]
dynamometers	0.3	0.45826	[0, 0, 0, 0, 0, 1, 0, 1, 1, 0]
dynamometric	0.3	0.9	[0, 0, 0, 0, 0, 2, 0, 0, 2, -1]
dynamometry	0.6	1.28062	[-2, 0, 0, 0, 0, 2, 2, 2, 0, 2]
dynamos	0.3	0.64031	[1, 0, 0, 0, 0, 0, 0, 0, 2, 0]
dynamotor	0.6	0.91652	[0, 2, 0, 0, 0, 0, 2, 0, 2, 0]
dysfunction	-1.8	0.6	[-2, -3, -2, -1, -2, -1, -2, -1, -2, -2]
eager	1.5	0.67082	[1, 3, 1, 2, 2, 2, 1, 1, 1, 1]
eagerly	1.6	0.66332	[0, 1, 2, 2, 2, 2, 2, 1, 2, 2]
eagerness	1.7	0.45826	[2, 2, 2, 2, 1, 1, 2, 2, 2, 1]
eagers	1.6	0.66332	[2, 2, 3, 1, 2, 1, 1, 1, 2, 1]
earnest	2.3	0.64031	[3, 2, 3, 1, 2, 2, 2, 3, 3, 2]
ease	1.5	0.92195	[1, 1, 1, 0, 2, 1, 2, 3, 3, 1]
eased	1.2	0.74833	[2, 0, 1, 0, 2, 2, 1, 1, 1, 2]
easeful	1.5	1.0247	[2, 1, 1, 2, 1, 0, 3, 2, 0, 3]
easefully	1.4	0.4899	[2, 2, 1, 1, 1, 1, 2, 2, 1, 1]
easel	0.3	0.45826	[0, 0, 0, 0, 1, 1, 0, 0, 0, 1]
easement	1.6	0.91652	[0, 1, 2, 3, 2, 1, 2, 1, 3, 1]
easements	0.4	1.11355	[0, 0, 0, 1, 2, -2, 1, 0, 2, 0]
eases	1.3	0.78102	[2, 0, 1, 0, 2, 2, 2, 1, 1, 2]
easier	1.8	0.9798	[1, 1, 2, 2, 4, 3, 2, 1, 1, 1]
easiest	1.8	1.07703	[2, 4, 1, 3, 2, 0, 2, 2, 1, 1]
easily	1.4	0.4899	[2, 1, 1, 2, 1, 2, 1, 2, 1, 1]
easiness	1.6	0.66332	[2, 1, 1, 2, 3, 2, 1, 1, 2, 1]
easing	1.0	0.63246	[0, 0, 2, 1, 1, 2, 1, 1, 1, 1]
easy	1.9	1.04403	[1, 4, 2, 1, 1, 3, 1, 3, 2, 1]
easygoing	1.3	0.45826	[1, 1, 1, 1, 1, 1, 2, 2, 2, 1]
easygoingness	1.5	0.67082	[1, 2, 1, 2, 1, 3, 1, 2, 1, 1]
ecstacy	3.3	1.18743	[4, 4, 3, 4, 4, 0, 3, 3, 4, 4]
ecstasies	2.3	1.34536	[3, 3, 2, 4, 3, 1, 3, -1, 2, 3]
ecstasy	2.9	1.75784	[4, 3, 3, 4, 4, 2, -2, 3, 4, 4]
ecstatic	2.3	1.34536	[3, 4, 3, 4, 1, 1, 1, 4, 1, 1]
ecstatically	2.8	1.93907	[3, 4, -1, 4, 4, 4, -1, 3, 4, 4]
ecstatics	2.9	0.83066	[1, 3, 4, 4, 3, 3, 3, 2, 3, 3]
eerie	-1.5	0.67082	[-1, -1, -2, -2, -1, -1, -2, -1, -3, -1]
eery	-0.9	1.04403	[-3, -1, -2, -1, -2, 0, 0, 0, 0, 0]
effective	2.1	0.83066	[2, 2, 2, 1, 3, 4, 2, 1, 2, 2]
effectively	1.9	0.7	[1, 2, 1, 2, 2, 1, 3, 3, 2, 2]
efficiencies	1.6	0.4899	[2, 1, 1, 2, 2, 2, 1, 2, 2, 1]
efficiency	1.5	0.5	[2, 1, 2, 2, 1, 2, 1, 1, 2, 1]
efficient	1.8	0.9798	[1, 2, 1, 1, 2, 3, 3, 0, 2, 3]
efficiently	1.7	0.78102	[1, 3, 2, 1, 3, 1, 1, 2, 2, 1]
effin	-2.3	1.18743	[0, -3, -3, -3, -2, -1, -4, -1, -3, -3]
egotism	-1.4	0.91652	[-2, -3, -1, -2, -2, 0, 0, -1, -2, -1]
egotisms	-1.0	0.7746	[-1, -1, -1, -1, -1, 0, 0, -1, -3, -1]
egotist	-2.3	0.9	[-2, -1, -2, -3, -4, -2, -3, -3, -1, -2]
egotistic	-1.4	1.0198	[-2, -1, -1, -1, -2, 1, -3, -2, -1, -2]
egotistical	-0.9	1.57797	[-1, -2, -2, -1, -2, 1, -3, 2, 1, -2]
egotistically	-1.8	0.87178	[-2, -1, -1, -2, -1, -3, -3, -1, -1, -3]
egotists	-1.7	0.78102	[-1, -2, 0, -2, -2, -2, -3, -1, -2, -2]
elated	3.2	0.74833	[2, 4, 4, 3, 4, 3, 3, 2, 3, 4]
elation	1.5	1.43178	[1, 2, -2, 2, 2, 3, 0, 3, 2, 2]
elegance	2.1	0.53852	[3, 2, 2, 1, 2, 2, 3, 2, 2, 2]
elegances	1.8	0.6	[2, 2, 1, 1, 2, 2, 2, 3, 2, 1]
elegancies	1.6	1.0198	[2, 1, 2, 1, 1, 0, 4, 1, 2, 2]
elegancy	2.1	0.53852	[3, 2, 2, 1, 2, 2, 3, 2, 2, 2]
elegant	2.1	0.83066	[2, 2, 2, 1, 4, 1, 2, 3, 2, 2]
elegantly	1.9	0.83066	[2, 1, 1, 3, 2, 2, 1, 3, 3, 1]
embarrass	-1.2	1.66132	[-2, -2, -3, -1, -2, -2, 2, 2, -2, -2]
embarrassable	-1.6	0.8	[-3, -2, -1, -3, -1, -1, -1, -2, -1, -1]
embarrassed	-1.5	0.67082	[-2, -2, -1, -2, -1, -3, -1, -1, -1, -1]
embarrassedly	-1.1	1.44568	[-2, -1, -2, -3, 1, -1, -1, -2, -2, 2]
embarrasses	-1.7	0.78102	[-2, -3, -1, -2, -1, -3, -2, -1, -1, -1]
embarrassing	-1.6	0.8	[-3, -1, -1, -1, -1, -2, -1, -2, -3, -1]
embarrassingly	-1.7	0.64031	[-2, -1, -1, -2, -1, -2, -1, -3, -2, -2]
embarrassment	-1.9	0.53852	[-2, -2, -1, -2, -2, -2, -2, -1, -3, -2]
embarrassments	-1.7	0.64031	[-2, -1, -2, -1, -1, -2, -2, -1, -2, -3]
embittered	-0.4	1.35647	[1, -2, -1, 1, -2, 2, 0, -1, 0, -2]
embrace	1.3	1.34536	[3, 2, 1, 3, 2, -1, 2, 1, -1, 1]
emergency	-1.6	2.05913	[-3, -3, -3, -3, -4, 2, 1, -1, 1, -3]
emotional	0.6	1.0198	[1, -1, 0, 0, 0, 2, 0, 2, 2, 0]
empathetic	1.7	1.1	[-1, 3, 2, 2, 2, 1, 3, 1, 2, 2]
emptied	-0.7	0.64031	[-1, 0, 0, 0, -1, -1, -1, -2, 0, -1]
emptier	-0.7	0.64031	[-1, 0, 0, 0, -1, -1, -1, -2, 0, -1]
emptiers	-0.7	0.78102	[0, 0, -1, 0, -1, -1, -2, 0, -2, 0]
empties	-0.7	0.64031	[-1, 0, 0, 0, -1, -1, -1, -2, 0, -1]
emptiest	-1.8	1.07703	[-1, -2, -2, -1, -1, -2, -3, 0, -4, -2]
emptily	-1.0	1.41421	[-2, 2, -1, -1, -1, 0, -4, -1, -1, -1]
emptiness	-1.9	0.7	[-2, -2, -3, -2, -2, -1, -1, -3, -1, -2]
emptinesses	-1.5	1.11803	[-1, -1, -3, -1, -1, -1, -2, 0, -4, -1]
emptins	-0.3	0.45826	[0, 0, 0, -1, 0, 0, 0, -1, -1, 0]
empty	-0.8	0.74833	[-1, -1, -1, -1, -1, -1, -2, 0, -1, 1]
emptying	-0.6	1.0198	[2, -1, -1, 0, -1, 0, -1, -1, -2, -1]
enchanted	1.6	0.8	[1, 3, 1, 2, 1, 3, 1, 2, 1, 1]
encourage	2.3	0.78102	[2, 1, 3, 2, 3, 4, 2, 2, 2, 2]
encouraged	1.5	0.5	[1, 2, 2, 2, 2, 2, 1, 1, 1, 1]
encouragement	1.8	0.9798	[2, 1, 2, 1, 1, 3, 1, 2, 4, 1]
encouragements	2.1	0.7	[3, 2, 3, 2, 1, 2, 3, 2, 2, 1]
encourager	1.5	0.5	[2, 1, 2, 1, 1, 2, 1, 1, 2, 2]
encouragers	1.5	0.5	[2, 2, 1, 1, 2, 2, 1, 1, 2, 1]
encourages	1.9	0.53852	[2, 2, 1, 2, 2, 1, 2, 2, 2, 3]
encouraging	2.4	0.66332	[2, 3, 2, 3, 3, 2, 3, 2, 1, 3]
encouragingly	2.0	0.7746	[1, 1, 1, 3, 2, 2, 2, 3, 2, 3]
endorse	1.3	0.9	[0, 1, 0, 1, 3, 2, 2, 2, 1, 1]
endorsed	1.0	0.89443	[1, 2, 0, 1, 1, 0, 1, 0, 3, 1]
endorsement	1.3	0.9	[0, 1, 2, 2, 1, 2, 0, 1, 3, 1]
endorses	1.4	0.4899	[1, 2, 1, 2, 1, 1, 1, 2, 2, 1]
enemies	-2.2	0.6	[-2, -3, -1, -2, -2, -3, -2, -3, -2, -2]
enemy	-2.5	0.92195	[-3, -2, -3, -3, -3, -4, -1, -3, -1, -2]
energetic	1.9	0.53852	[2, 1, 3, 2, 2, 2, 1, 2, 2, 2]
energetically	1.8	0.6	[2, 2, 1, 1, 2, 2, 3, 1, 2, 2]
energetics	0.3	0.64031	[1, 0, 0, 0, 0, 0, 2, 0, 0, 0]
energies	0.9	1.04403	[1, 0, 0, 2, 0, 1, 3, 2, 0, 0]
energise	2.2	0.4	[2, 2, 2, 2, 2, 2, 3, 2, 3, 2]
energised	2.1	0.53852	[2, 3, 1, 2, 2, 2, 3, 2, 2, 2]
energises	2.2	0.6	[3, 3, 2, 2, 1, 3, 2, 2, 2, 2]
energising	1.9	0.7	[2, 3, 1, 2, 2, 3, 2, 1, 1, 2]
energization	1.6	0.66332	[1, 2, 1, 3, 1, 1, 2, 2, 2, 1]
energizations	1.5	1.11803	[1, 0, 3, 1, 3, 0, 1, 1, 2, 3]
energize	2.1	0.7	[2, 2, 2, 1, 3, 2, 3, 2, 3, 1]
energized	2.3	0.64031	[3, 2, 3, 3, 3, 2, 2, 2, 1, 2]
energizer	2.1	0.53852	[3, 2, 2, 2, 2, 2, 2, 3, 1, 2]
energizers	1.7	0.9	[2, 0, 2, 3, 3, 1, 1, 2, 2, 1]
energizes	2.1	0.53852	[3, 2, 3, 2, 2, 2, 2, 2, 1, 2]
energizing	2.0	0.63246	[3, 3, 2, 1, 2, 2, 1, 2, 2, 2]
energy	1.1	0.83066	[0, 2, 0, 2, 1, 1, 2, 1, 2, 0]
engage	1.4	0.8	[1, 2, 3, 2, 1, 1, 0, 1, 2, 1]
engaged	1.7	1.1	[1, 1, 2, 2, 1, 0, 2, 3, 4, 1]
engagement	2.0	1.34164	[0, 0, 3, 4, 4, 2, 1, 2, 2, 2]
engagements	0.6	0.8	[1, 0, 0, 2, 0, 2, 0, 0, 1, 0]
engager	1.1	0.7	[1, 1, 0, 2, 1, 0, 2, 1, 2, 1]
engagers	1.0	0.7746	[1, 1, 1, 0, 2, 1, 0, 2, 2, 0]
engages	1.0	0.7746	[1, 1, 0, 2, 1, 0, 1, 2, 2, 0]
engaging	1.4	0.4899	[2, 2, 1, 1, 2, 1, 1, 1, 1, 2]
engagingly	1.5	0.67082	[1, 2, 3, 1, 1, 1, 1, 1, 2, 2]
engrossed	0.6	1.49666	[0, 2, 0, 2, -2, 2, 3, -1, 0, 0]
enjoy	2.2	0.6	[3, 2, 2, 2, 3, 2, 2, 3, 2, 1]
enjoyable	1.9	0.53852	[3, 2, 2, 1, 2, 1, 2, 2, 2, 2]
enjoyableness	1.9	1.13578	[2, 2, 2, 2, 1, 3, 3, 3, -1, 2]
enjoyably	1.8	0.4	[2, 2, 2, 1, 2, 1, 2, 2, 2, 2]
enjoyed	2.3	0.64031	[2, 2, 1, 3, 3, 3, 2, 2, 2, 3]
enjoyer	2.2	0.6	[2, 2, 1, 3, 3, 2, 2, 2, 2, 3]
enjoyers	2.2	0.74833	[2, 4, 2, 2, 2, 2, 2, 3, 2, 1]
enjoying	2.4	0.66332	[2, 2, 2, 3, 3, 3, 1, 3, 2, 3]
enjoyment	2.6	0.4899	[2, 3, 2, 3, 2, 3, 2, 3, 3, 3]
enjoyments	2.0	0.7746	[3, 1, 1, 3, 2, 1, 2, 2, 2, 3]
enjoys	2.3	0.45826	[2, 3, 2, 2, 2, 3, 2, 3, 2, 2]
enlighten	2.3	1.1	[2, 2, 1, 3, 2, 1, 1, 4, 3, 4]
enlightened	2.2	0.87178	[4, 2, 3, 1, 2, 2, 1, 3, 2, 2]
enlightening	2.3	0.64031	[3, 2, 2, 2, 2, 2, 2, 4, 2, 2]
enlightens	1.7	1.00499	[2, 1, 1, 1, 1, 2, 4, 1, 3, 1]
ennui	-1.2	0.6	[-1, -1, -1, -2, -1, -1, -2, -1, 0, -2]
enrage	-2.6	0.91652	[-3, -3, -3, -4, -1, -1, -3, -2, -3, -3]
enraged	-1.7	1.79165	[-3, -3, -3, -3, 2, -1, -3, -1, 1, -3]
enrages	-1.8	1.6	[-3, -3, -3, -3, 1, -1, -3, -1, 1, -3]
enraging	-2.8	0.74833	[-4, -2, -3, -2, -2, -3, -3, -2, -4, -3]
enrapture	3.0	0.63246	[2, 4, 3, 3, 4, 3, 3, 2, 3, 3]
enslave	-3.1	0.9434	[-3, -4, -2, -4, -4, -2, -4, -2, -4, -2]
enslaved	-1.7	2.41039	[3, -3, -3, -3, -4, -4, -4, 1, -1, 1]
enslaves	-1.6	2.15407	[2, -2, -3, -2, -4, -4, -4, 1, -1, 1]
ensure	1.6	0.91652	[2, 1, 3, 1, 1, 2, 3, 2, 0, 1]
ensuring	1.1	0.9434	[0, 1, 3, 1, 1, 2, 1, 0, 2, 0]
enterprising	2.3	0.78102	[3, 2, 1, 3, 3, 2, 1, 2, 3, 3]
entertain	1.3	0.64031	[1, 2, 1, 1, 2, 1, 2, 0, 1, 2]
entertained	1.7	0.64031	[1, 2, 2, 1, 2, 1, 1, 3, 2, 2]
entertainer	1.6	1.2	[1, 4, 2, 2, 0, 0, 1, 3, 1, 2]
entertainers	1.0	0.7746	[0, 1, 2, 2, 0, 0, 1, 1, 2, 1]
entertaining	1.9	0.83066	[1, 2, 1, 1, 3, 2, 3, 2, 3, 1]
entertainingly	1.9	0.53852	[2, 1, 2, 3, 2, 2, 1, 2, 2, 2]
entertainment	1.8	0.9798	[2, 0, 4, 2, 2, 1, 2, 2, 1, 2]
entertainments	2.3	1.18743	[3, 3, 3, 2, 1, 0, 3, 4, 1, 3]
entertains	2.4	0.66332	[2, 2, 2, 2, 2, 3, 4, 3, 2, 2]
enthral	0.4	1.42829	[2, 2, 0, 2, 0, -1, -2, 2, 0, -1]
enthuse	1.6	0.66332	[1, 2, 1, 1, 3, 1, 2, 2, 2, 1]
enthused	2.0	0.63246	[3, 3, 1, 2, 2, 2, 2, 1, 2, 2]
enthuses	1.7	0.78102	[2, 3, 1, 2, 1, 3, 1, 1, 1, 2]
enthusiasm	1.9	0.9434	[3, 3, 3, 2, 1, 0, 2, 1, 2, 2]
enthusiasms	2.0	0.89443	[1, 3, 2, 2, 3, 2, 0, 2, 3, 2]
enthusiast	1.5	0.67082	[1, 2, 2, 2, 0, 1, 1, 2, 2, 2]
enthusiastic	2.2	0.9798	[1, 2, 3, 4, 2, 3, 2, 1, 1, 3]
enthusiastically	2.6	0.66332	[3, 3, 3, 2, 3, 3, 3, 3, 2, 1]
enthusiasts	1.4	0.91652	[1, 1, 0, 3, 3, 2, 1, 1, 1, 1]
enthusing	1.9	0.7	[2, 1, 2, 1, 2, 3, 2, 1, 2, 3]
entitled	1.1	0.83066	[2, 2, 1, 1, 2, 1, 1, -1, 1, 1]
entrusted	0.8	1.46969	[3, 0, 2, 2, 1, 1, -1, 0, -2, 2]
envied	-1.1	0.83066	[-1, -2, -2, 1, -2, -1, -1, -1, -1, -1]
envier	-1.0	0.7746	[-1, -2, -2, -1, -1, 1, -1, -1, -1, -1]
enviers	-1.1	1.13578	[-3, -1, 0, -3, -1, -1, -1, -1, 1, -1]
envies	-0.8	0.9798	[-1, -2, -2, 1, -1, 1, -1, -1, -1, -1]
envious	-1.1	0.83066	[-2, -1, -1, -1, -2, -1, -1, 1, -2, -1]
envy	-1.1	0.83066	[-2, -1, -1, -2, -1, -1, -1, 1, -1, -2]
envying	-0.8	1.32665	[-1, -1, -1, -1, -3, 2, -2, -1, 1, -1]
envyingly	-1.3	1.55242	[-2, 3, -2, -2, -1, -3, -1, -1, -2, -2]
erroneous	-1.8	0.6	[-2, -3, -2, -2, -2, -2, -1, -1, -1, -2]
error	-1.7	0.64031	[-2, -1, -2, -1, -2, -1, -1, -2, -3, -2]
errors	-1.4	0.66332	[-2, -1, -2, 0, -2, -2, -1, -1, -1, -2]
escape	0.7	1.00499	[2, 0, 0, 1, 0, 1, 0, 3, 0, 0]
escapes	0.5	1.36015	[4, 1, 1, 0, -1, 0, -1, 0, 1, 0]
escaping	0.2	1.46969	[-2, 2, -1, 0, 1, 0, 2, 2, -2, 0]
esteemed	1.9	0.83066	[3, 2, 1, 2, 3, 1, 1, 2, 3, 1]
ethical	2.3	0.78102	[3, 3, 3, 3, 2, 2, 1, 3, 2, 1]
euphoria	3.3	0.9	[4, 4, 3, 3, 3, 4, 4, 4, 1, 3]
euphoric	3.2	0.87178	[3, 4, 3, 3, 3, 4, 4, 4, 1, 3]
eviction	-2.0	0.63246	[-2, -2, -3, -2, -3, -2, -1, -2, -1, -2]
evil	-3.4	0.91652	[-4, -4, -4, -3, -3, -4, -1, -4, -3, -4]
evildoer	-3.1	0.7	[-2, -3, -3, -3, -4, -4, -3, -2, -3, -4]
evildoers	-2.4	0.4899	[-3, -3, -2, -2, -2, -2, -2, -2, -3, -3]
evildoing	-3.1	0.7	[-4, -4, -3, -3, -3, -4, -2, -3, -2, -3]
evildoings	-2.5	1.0247	[-3, -1, -1, -3, -4, -2, -4, -2, -2, -3]
eviler	-2.1	1.13578	[-2, -1, -3, -2, -4, -3, -1, -2, 0, -3]
evilest	-2.5	1.0247	[-3, -4, -1, -3, -2, -3, -1, -4, -2, -2]
eviller	-2.9	0.83066	[-3, -3, -4, -2, -2, -3, -2, -4, -2, -4]
evillest	-3.3	0.78102	[-3, -4, -2, -3, -4, -2, -4, -4, -3, -4]
evilly	-3.4	0.8	[-2, -4, -4, -4, -3, -4, -4, -4, -3, -2]
evilness	-3.1	1.04403	[-3, -4, -4, -4, -4, -2, -3, -2, -1, -4]
evils	-2.7	0.78102	[-3, -2, -2, -4, -4, -2, -3, -2, -3, -2]
exaggerate	-0.6	0.66332	[-1, -1, -1, 0, -1, 0, 1, -1, -1, -1]
exaggerated	-0.4	1.2	[-1, -1, -1, -1, -1, 2, 1, 1, -2, -1]
exaggerates	-0.6	1.28062	[-1, -1, -1, -1, -1, 1, 0, 2, -3, -1]
exaggerating	-0.7	0.9	[-1, -2, 0, -1, 0, 0, -2, -1, 1, -1]
exasperated	-1.8	1.53623	[-4, -3, -3, -1, -1, -1, 1, -1, -4, -1]
excel	2.0	1.0	[3, 0, 2, 3, 1, 1, 3, 3, 2, 2]
excelled	2.2	0.87178	[1, 2, 2, 2, 3, 2, 4, 3, 2, 1]
excellence	3.1	0.9434	[4, 3, 4, 3, 2, 3, 1, 4, 3, 4]
excellences	2.5	0.92195	[4, 2, 2, 2, 4, 3, 2, 2, 3, 1]
excellencies	2.4	0.4899	[3, 2, 3, 3, 2, 2, 2, 2, 3, 2]
excellency	2.5	0.80623	[4, 2, 3, 3, 2, 3, 1, 3, 2, 2]
excellent	2.7	0.64031	[2, 3, 3, 3, 3, 2, 3, 2, 2, 4]
excellently	3.1	0.7	[4, 3, 3, 3, 2, 3, 3, 4, 4, 2]
excelling	2.5	0.67082	[2, 2, 3, 3, 3, 2, 2, 4, 2, 2]
excels	2.5	0.92195	[4, 2, 4, 2, 2, 1, 2, 3, 3, 2]
excelsior	0.7	0.64031	[1, 0, 0, 2, 0, 1, 1, 1, 1, 0]
excitabilities	1.5	1.0247	[2, 0, 1, 1, 3, 1, 2, 3, 2, 0]
excitability	1.2	0.87178	[0, 1, 1, 0, 1, 2, 3, 1, 2, 1]
excitable	1.5	0.92195	[2, 3, 1, 0, 1, 2, 2, 0, 2, 2]
excitableness	1.0	1.09545	[0, 0, 2, 0, 2, 0, 2, 0, 1, 3]
excitant	1.8	1.16619	[1, 0, 1, 3, 2, 0, 3, 3, 2, 3]
excitants	1.2	0.9798	[1, 0, 1, 2, 2, 2, 1, -1, 2, 2]
excitation	1.8	0.87178	[2, 0, 3, 1, 3, 2, 2, 2, 1, 2]
excitations	1.8	1.16619	[3, 3, -1, 2, 2, 2, 1, 1, 3, 2]
excitative	0.3	0.78102	[0, 1, 1, 0, 0, 0, 2, 0, -1, 0]
excitatory	1.1	1.7	[-1, 2, 2, 1, 2, 2, 2, 3, -3, 1]
excite	2.1	1.22066	[1, 2, 2, 1, 2, 0, 4, 4, 3, 2]
excited	1.4	0.4899	[1, 1, 2, 1, 2, 1, 2, 1, 1, 2]
excitedly	2.3	0.9	[3, 3, 2, 3, 1, 3, 1, 3, 1, 3]
excitement	2.2	0.4	[2, 2, 2, 3, 3, 2, 2, 2, 2, 2]
excitements	1.9	0.53852	[2, 1, 2, 3, 2, 2, 2, 2, 2, 1]
exciter	1.9	0.9434	[3, 2, 3, 1, 0, 1, 2, 3, 2, 2]
exciters	1.4	1.42829	[1, 2, 0, 1, 2, 4, 0, -1, 3, 2]
excites	2.1	0.83066	[2, 3, 3, 2, 0, 2, 2, 3, 2, 2]
exciting	2.2	0.87178	[3, 2, 1, 1, 1, 3, 3, 3, 2, 3]
excitingly	1.9	0.9434	[3, 2, 3, 0, 1, 2, 1, 2, 2, 3]
exciton	0.3	0.64031	[2, 0, 0, 0, 0, 0, 1, 0, 0, 0]
excitonic	0.2	0.6	[0, 0, 0, 0, 2, 0, 0, 0, 0, 0]
excitons	0.8	0.6	[1, 2, 0, 1, 1, 0, 0, 1, 1, 1]
excitor	0.5	0.67082	[2, 0, 0, 0, 1, 1, 1, 0, 0, 0]
exclude	-0.9	1.13578	[-1, -2, -1, -3, -1, 1, -1, -1, 1, -1]
excluded	-1.4	1.62481	[-2, -1, -3, -3, -2, -3, -2, 1, -1, 2]
exclusion	-1.2	1.249	[-2, -2, -3, -1, -2, -1, -1, -1, 2, -1]
exclusive	0.5	0.92195	[0, 0, 0, -1, 2, 0, 1, 2, 1, 0]
excruciate	-2.7	0.64031	[-2, -3, -2, -3, -3, -2, -4, -3, -2, -3]
excruciated	-1.3	1.9	[-4, -1, -4, 0, 2, -2, -1, -1, -3, 1]
excruciates	-1.0	2.19089	[-4, 1, -4, 0, 1, -3, -1, 1, -3, 2]
excruciating	-3.3	0.9	[-3, -4, -4, -4, -4, -4, -4, -2, -2, -2]
excruciatingly	-2.9	1.04403	[-2, -4, -3, -2, -4, -1, -2, -3, -4, -4]
excruciation	-3.4	0.66332	[-4, -3, -2, -4, -4, -3, -4, -3, -3, -4]
excruciations	-1.9	1.51327	[-3, -3, -2, -4, -1, -1, 1, -4, -1, -1]
excuse	0.3	1.73494	[0, 0, 3, -1, 0, -1, -2, 0, 4, 0]
exempt	0.4	0.91652	[1, 0, 0, 0, 2, -1, 0, 0, 2, 0]
exhaust	-1.2	0.87178	[0, -1, 0, -1, -1, -3, -2, -2, -1, -1]
exhausted	-1.5	1.28452	[-2, -1, 2, -2, -3, -2, -2, -1, -2, -2]
exhauster	-1.3	0.64031	[-1, -1, 0, -1, -2, -1, -1, -2, -2, -2]
exhausters	-1.3	0.45826	[-2, -1, -2, -1, -1, -2, -1, -1, -1, -1]
exhaustibility	-0.8	1.07703	[0, -2, -3, 0, 1, -1, -1, -1, 0, -1]
exhaustible	-1.0	0.63246	[-1, -1, 0, -1, -2, -2, -1, 0, -1, -1]
exhausting	-1.5	0.5	[-1, -2, -1, -1, -2, -1, -2, -2, -1, -2]
exhaustion	-1.5	0.92195	[-2, -1, 1, -2, -2, -2, -2, -1, -2, -2]
exhaustions	-1.1	0.9434	[-1, -3, -2, -1, -1, -1, -1, 1, -1, -1]
exhaustive	-0.5	0.67082	[-1, -1, 0, -1, -2, 0, 0, 0, 0, 0]
exhaustively	-0.7	0.78102	[-2, 0, -1, -1, -1, -2, 0, 0, 0, 0]
exhaustiveness	-1.1	1.3	[-2, -2, 0, -1, -1, 1, -4, -1, 0, -1]
exhaustless	0.2	1.8868	[1, 1, 0, 2, 3, 0, -2, 2, -2, -3]
exhaustlessness	0.9	1.75784	[2, 2, 1, 1, -4, 2, 1, 2, 0, 2]
exhausts	-1.1	0.53852	[-2, -1, 0, -1, -1, -2, -1, -1, -1, -1]
exhilarated	3.0	0.63246	[3, 3, 3, 3, 2, 2, 4, 4, 3, 3]
exhilarates	2.8	1.07703	[4, 3, 3, 3, 0, 2, 3, 4, 3, 3]
exhilarating	1.7	1.61555	[3, 4, 3, 2, -1, 1, 1, 3, -1, 2]
exonerate	1.8	0.74833	[2, 2, 2, 2, 3, 2, 1, 0, 2, 2]
exonerated	1.8	1.83303	[3, -2, 2, 3, 2, 4, 3, 1, -1, 3]
exonerates	1.6	1.90788	[3, -2, 1, 2, 3, 4, 0, 3, -1, 3]
exonerating	1.0	1.41421	[2, -2, 3, 0, 0, 2, 0, 2, 2, 1]
expand	1.3	0.64031	[0, 2, 2, 1, 1, 1, 2, 1, 2, 1]
expands	0.4	0.66332	[0, 1, 0, 0, 0, 0, 0, 0, 2, 1]
expel	-1.9	1.44568	[0, -4, -3, -1, -3, -1, 0, -2, -4, -1]
expelled	-1.0	1.94936	[-1, -2, 2, -2, -4, -3, -2, 1, 2, -1]
expelling	-1.6	1.49666	[-2, -2, -2, -2, -2, -3, -4, -1, 1, 1]
expels	-1.6	1.11355	[-4, -2, 0, -3, -1, -1, -1, -2, -1, -1]
exploit	-0.4	1.62481	[-2, -1, -1, 2, -2, -2, 2, -1, 2, -1]
exploited	-2.0	1.0	[-3, -3, -1, -1, -1, -4, -2, -2, -1, -2]
exploiting	-1.9	1.22066	[0, -3, -3, 0, -2, -3, -1, -1, -3, -3]
exploits	-1.4	0.8	[-2, -2, -2, -1, -1, 0, -2, 0, -2, -2]
exploration	0.9	0.7	[2, 2, 0, 1, 1, 0, 1, 0, 1, 1]
explorations	0.3	1.1	[1, 1, 0, 0, 1, 2, 1, -2, -1, 0]
expose	-0.6	0.8	[-1, -1, 0, 0, -2, 1, -1, 0, -1, -1]
exposed	-0.3	1.18743	[-2, -1, 0, 2, 0, 0, -1, 1, -2, 0]
exposes	-0.5	0.92195	[-1, -1, 0, 2, -1, 0, -1, -1, -1, -1]
exposing	-1.1	0.7	[-2, -2, -1, -1, 0, -2, -1, -1, 0, -1]
extend	0.7	0.78102	[2, 0, 0, 0, 1, 2, 1, 1, 0, 0]
extends	0.5	0.80623	[2, 0, 2, 0, 0, 0, 1, 0, 0, 0]
exuberant	2.8	0.6	[2, 3, 2, 3, 2, 4, 3, 3, 3, 3]
exultant	3.0	1.18322	[4, 4, 3, 0, 3, 4, 3, 3, 2, 4]
exultantly	1.4	1.49666	[3, 2, 4, 1, 1, 2, -2, 1, 1, 1]
fab	2.0	1.0	[2, 1, 1, 3, 1, 2, 2, 4, 3, 1]
fabulous	2.4	0.8	[2, 2, 3, 4, 3, 3, 1, 2, 2, 2]
fabulousness	2.8	1.07703	[4, 1, 4, 3, 1, 3, 3, 2, 4, 3]
fad	0.9	0.83066	[2, 0, 1, 1, 1, 0, 0, 2, 2, 0]
fag	-2.1	0.83066	[-3, -1, -2, -4, -2, -2, -2, -1, -2, -2]
faggot	-3.4	0.8	[-2, -4, -4, -3, -2, -4, -4, -4, -3, -4]
faggots	-3.2	0.9798	[-2, -4, -4, -4, -3, -4, -4, -3, -1, -3]
fail	-2.5	0.67082	[-2, -3, -3, -3, -4, -2, -2, -2, -2, -2]
failed	-2.3	0.9	[-2, -3, -1, -2, -2, -1, -3, -3, -4, -2]
failing	-2.3	1.1	[-2, -3, -3, -3, -4, -1, -2, -2, 0, -3]
failingly	-1.4	0.8	[-1, -3, -2, -1, 0, -1, -2, -1, -2, -1]
failings	-2.2	1.07703	[-2, -2, -3, -4, -1, -2, -1, -1, -4, -2]
faille	0.1	0.3	[0, 0, 0, 0, 0, 0, 1, 0, 0, 0]
fails	-1.8	0.74833	[-2, -3, -2, -3, -2, -2, -1, -1, -1, -1]
failure	-2.3	1.00499	[-3, -1, -3, -2, -1, -2, -3, -1, -4, -3]
failures	-2.0	0.63246	[-1, -2, -1, -2, -3, -2, -2, -3, -2, -2]
fainthearted	-0.3	1.34536	[3, -1, -1, -1, -2, -1, 0, 1, -1, 0]
fair	1.3	1.00499	[0, 1, 1, 2, 4, 1, 1, 1, 1, 1]
faith	1.8	0.6	[1, 3, 2, 2, 1, 2, 2, 2, 1, 2]
faithed	1.3	1.00499	[3, 2, 1, 2, 1, 2, -1, 1, 1, 1]
faithful	1.9	0.83066	[1, 3, 2, 2, 1, 1, 3, 3, 2, 1]
faithfully	1.8	1.07703	[3, 1, 2, 2, 4, 1, 0, 1, 2, 2]
faithfulness	1.9	0.53852	[1, 2, 2, 3, 2, 2, 2, 1, 2, 2]
faithless	-1.0	0.89443	[-1, -1, -1, -2, -2, -1, -1, 0, 1, -2]
faithlessly	-0.9	1.51327	[-1, -2, -1, -3, -2, -1, 3, 0, -1, -1]
faithlessness	-1.8	1.249	[-3, -2, 1, -2, -2, -1, -2, -1, -4, -2]
faiths	1.8	0.9798	[2, 3, 1, 1, 3, 3, 0, 2, 2, 1]
fake	-2.1	0.9434	[-2, -2, -1, -1, -1, -3, -3, -4, -2, -2]
fakes	-1.8	1.07703	[-2, -3, -2, -2, -3, 1, -2, -2, -1, -2]
faking	-1.8	0.87178	[-3, -1, -2, -1, -2, -2, -3, -2, 0, -2]
fallen	-1.5	0.80623	[-1, -1, -2, -2, -1, -3, 0, -1, -2, -2]
falling	-0.6	1.8	[-2, -2, -1, 0, -1, 3, -3, 2, 0, -2]
falsified	-1.6	0.91652	[-4, -1, -1, -2, -1, -1, -2, -2, -1, -1]
falsify	-2.0	0.7746	[-2, -1, -3, -3, -1, -2, -2, -2, -1, -3]
fame	1.9	1.13578	[0, 2, 1, 2, 2, 4, 1, 3, 3, 1]
fan	1.3	0.78102	[2, 0, 1, 1, 2, 1, 1, 3, 1, 1]
fantastic	2.6	0.91652	[1, 3, 3, 3, 2, 4, 4, 2, 2, 2]
fantastical	2.0	1.18322	[-1, 3, 2, 2, 2, 2, 3, 1, 3, 3]
fantasticalities	2.1	1.04403	[2, 4, 2, 2, 1, 1, 2, 4, 1, 2]
fantasticality	1.7	1.26886	[4, 1, 0, 2, 2, 1, 4, 1, 1, 1]
fantasticalness	1.3	1.9	[2, 3, -3, 0, 3, 2, 2, 3, -1, 2]
fantasticate	1.5	1.96214	[1, 2, -3, 1, 4, 1, 3, 4, 0, 2]
fantastico	0.4	1.49666	[0, 0, 2, 0, 2, -2, 1, -1, -1, 3]
farce	-1.7	0.45826	[-2, -2, -1, -2, -2, -1, -1, -2, -2, -2]
fascinate	2.4	1.0198	[4, 2, 2, 3, 1, 2, 3, 4, 1, 2]
fascinated	2.1	0.83066	[2, 2, 2, 3, 1, 2, 4, 2, 1, 2]
fascinates	2.0	0.44721	[2, 3, 1, 2, 2, 2, 2, 2, 2, 2]
fascination	2.2	0.74833	[2, 1, 3, 3, 2, 3, 2, 2, 1, 3]
fascinating	2.5	0.92195	[3, 3, 3, 4, 2, 3, 2, 3, 1, 1]
fascist	-2.6	0.8	[-3, -3, -2, -2, -2, -3, -1, -3, -4, -3]
fascists	-0.8	1.6	[-2, -3, -1, 1, -1, 2, -3, 1, -1, -1]
fatal	-2.5	1.62788	[-2, -3, -3, -4, -3, -3, 2, -4, -2, -3]
fatalism	-0.6	1.8	[0, 0, -3, -4, -1, 1, 0, 2, -2, 1]
fatalisms	-1.7	0.9	[-2, -4, -2, -2, -2, -1, -1, -1, -1, -1]
fatalist	-0.5	1.56525	[0, 0, -1, -4, -1, 2, 0, 1, -2, 0]
fatalistic	-1.0	1.34164	[-3, -1, -3, -1, 1, 0, 1, -2, -1, -1]
fatalists	-1.2	0.87178	[0, -2, -1, -2, -1, 0, -1, -1, -3, -1]
fatalities	-2.9	0.7	[-2, -3, -3, -4, -2, -2, -3, -4, -3, -3]
fatality	-3.5	0.67082	[-2, -4, -4, -4, -3, -4, -4, -4, -3, -3]
fatally	-3.2	0.74833	[-3, -2, -4, -2, -3, -4, -4, -3, -3, -4]
fatigue	-1.0	0.7746	[-2, -1, -1, -1, 1, -1, -2, -1, -1, -1]
fatigued	-1.4	0.4899	[-2, -1, -1, -2, -1, -1, -2, -2, -1, -1]
fatigues	-1.3	1.00499	[-2, -1, -1, -2, -1, 1, -3, -2, -1, -1]
fatiguing	-1.2	0.6	[-1, -2, -2, -1, 0, -2, -1, -1, -1, -1]
fatiguingly	-1.5	0.80623	[-1, 0, -3, -2, -1, -1, -2, -1, -2, -2]
fault	-1.7	0.64031	[-1, -2, -2, -2, -1, -1, -2, -2, -1, -3]
faulted	-1.4	0.4899	[-2, -2, -1, -2, -1, -1, -1, -1, -2, -1]
faultfinder	-0.8	1.32665	[-3, -2, -2, -1, 1, 1, 1, -1, -1, -1]
faultfinders	-1.5	0.80623	[-2, -2, -1, -3, -2, -1, 0, -1, -1, -2]
faultfinding	-2.1	0.83066	[-3, -2, -1, -2, -1, -3, -1, -3, -2, -3]
faultier	-2.1	0.7	[-3, -3, -3, -1, -2, -2, -2, -1, -2, -2]
faultiest	-2.1	0.53852	[-3, -1, -2, -2, -2, -2, -2, -2, -3, -2]
faultily	-2.0	0.89443	[-2, -2, -2, -3, -2, -1, 0, -3, -2, -3]
faultiness	-1.5	0.92195	[-1, -1, -3, -1, 0, -2, -3, -1, -2, -1]
faulting	-1.4	0.4899	[-1, -2, -1, -1, -2, -1, -1, -2, -1, -2]
faultless	2.0	1.41421	[3, 2, 0, 1, 3, 1, 4, 0, 2, 4]
faultlessly	2.0	1.09545	[3, 3, 2, 2, 0, 3, 2, 3, 2, 0]
faultlessness	1.1	2.02237	[3, 2, 4, 2, 1, -1, -2, 1, -2, 3]
faults	-2.1	0.3	[-2, -2, -2, -2, -2, -2, -3, -2, -2, -2]
faulty	-1.3	0.45826	[-1, -1, -1, -1, -2, -2, -2, -1, -1, -1]
fav	2.0	0.63246	[2, 1, 2, 2, 2, 1, 3, 2, 3, 2]
fave	1.9	1.51327	[1, 3, -2, 3, 2, 3, 1, 3, 2, 3]
favor	1.7	0.64031	[2, 2, 2, 2, 2, 2, 0, 1, 2, 2]
favorable	2.1	0.7	[2, 1, 2, 3, 1, 2, 2, 3, 3, 2]
favorableness	2.2	0.87178	[1, 2, 1, 3, 2, 2, 2, 4, 2, 3]
favorably	1.6	0.66332	[2, 1, 1, 1, 1, 2, 2, 2, 3, 1]
favored	1.8	0.6	[2, 2, 1, 1, 3, 1, 2, 2, 2, 2]
favorer	1.3	1.18743	[2, 2, 1, 1, -2, 1, 2, 2, 2, 2]
favorers	1.4	0.4899	[2, 2, 1, 2, 1, 2, 1, 1, 1, 1]
favoring	1.8	0.6	[2, 1, 1, 3, 2, 2, 1, 2, 2, 2]
favorite	2.0	0.63246	[2, 1, 3, 1, 2, 2, 2, 3, 2, 2]
favorited	1.7	0.45826	[1, 2, 2, 1, 2, 2, 2, 1, 2, 2]
favorites	1.8	0.6	[1, 2, 1, 3, 2, 2, 1, 2, 2, 2]
favoritism	0.7	1.79165	[-1, 3, -1, -1, 2, -2, 2, 2, 3, 0]
favoritisms	0.7	0.9	[0, 2, -1, 1, 0, 0, 1, 1, 2, 1]
favors	1.0	0.7746	[2, 1, 1, 1, 2, 1, -1, 1, 1, 1]
favour	1.9	0.53852	[2, 1, 2, 3, 2, 2, 2, 1, 2, 2]
favoured	1.8	0.4	[1, 2, 2, 2, 1, 2, 2, 2, 2, 2]
favourer	1.6	0.4899	[1, 2, 2, 1, 1, 2, 2, 2, 1, 2]
favourers	1.6	0.66332	[2, 2, 1, 0, 2, 2, 1, 2, 2, 2]
favouring	1.3	0.45826	[1, 2, 1, 1, 2, 1, 1, 1, 1, 2]
favours	1.8	0.6	[3, 2, 1, 2, 1, 2, 2, 1, 2, 2]
fear	-2.2	0.6	[-2, -3, -2, -3, -2, -1, -2, -3, -2, -2]
feared	-2.2	0.6	[-2, -3, -2, -1, -3, -2, -3, -2, -2, -2]
fearful	-2.2	0.87178	[-2, -2, -3, -1, -2, -3, -2, -2, -4, -1]
fearfuller	-2.2	0.87178	[-1, -4, -2, -2, -1, -2, -3, -2, -3, -2]
fearfullest	-2.5	1.0247	[-3, -3, -4, -4, -3, -2, -1, -2, -2, -1]
fearfully	-2.2	0.87178	[-2, -2, -2, -1, -1, -3, -4, -2, -3, -2]
fearfulness	-1.8	0.87178	[-1, -1, -1, -2, -2, -1, -4, -2, -2, -2]
fearing	-2.7	0.9	[-3, -3, -3, -2, -4, -2, -1, -3, -2, -4]
fearless	1.9	0.83066	[3, 3, 3, 2, 2, 2, 1, 1, 1, 1]
fearlessly	1.1	1.22066	[2, -2, 1, 1, 2, 1, 3, 1, 1, 1]
fearlessness	1.1	1.13578	[3, 2, -1, 2, 0, 2, 1, 1, 1, 0]
fears	-1.8	0.6	[-2, -2, -3, -2, -2, -1, -1, -2, -1, -2]
fearsome	-1.7	0.64031	[-3, -1, -1, -2, -1, -2, -2, -2, -1, -2]
fed up	-1.8	1.249	[-2, -2, -3, -4, -2, -2, -1, -2, -1, 1]
feeble	-1.2	1.249	[-2, -2, -3, -1, -1, -2, -1, -1, 2, -1]
feeling	0.5	1.0247	[0, 0, 0, 3, 0, 2, 0, 0, 0, 0]
felonies	-2.5	0.5	[-3, -3, -3, -2, -2, -2, -2, -3, -2, -3]
felony	-2.5	1.36015	[-4, -3, -4, -2, -3, -3, -2, -3, -2, 1]
ferocious	-0.4	1.56205	[1, 1, -2, -3, -1, 2, 1, -2, -1, 0]
ferociously	-1.1	1.86815	[-3, -4, 2, -2, 0, -2, -1, -1, 2, -2]
ferociousness	-1.0	1.89737	[2, -4, -2, 0, -2, -3, -1, 0, 2, -2]
ferocities	-1.0	1.54919	[1, 0, -2, 0, 0, -3, 0, 0, -2, -4]
ferocity	-0.7	1.67631	[-2, -1, -4, 0, 0, -3, 1, 1, 0, 1]
fervent	1.1	1.44568	[3, 0, 0, 1, -2, 2, 2, 3, 1, 1]
fervid	0.5	2.20227	[4, -2, 1, -2, 4, 0, -1, 2, 1, -2]
festival	2.2	0.6	[2, 2, 3, 2, 3, 2, 2, 2, 3, 1]
festivalgoer	1.3	1.1	[1, 3, 2, 3, 0, 0, 1, 2, 0, 1]
festivalgoers	1.2	0.9798	[2, 2, 0, 0, 0, 2, 2, 0, 2, 2]
festivals	1.5	1.11803	[2, 0, 2, 3, 0, 3, 2, 1, 2, 0]
festive	2.0	0.63246	[2, 3, 2, 3, 1, 2, 2, 2, 1, 2]
festively	2.2	0.6	[2, 2, 3, 1, 3, 2, 3, 2, 2, 2]
festiveness	2.4	0.8	[1, 3, 2, 1, 3, 3, 3, 3, 2, 3]
festivities	2.1	0.7	[1, 2, 1, 2, 3, 2, 3, 3, 2, 2]
festivity	2.2	1.07703	[3, 3, 3, 0, 2, 1, 3, 3, 1, 3]
feud	-1.4	0.66332	[-3, -2, -1, -2, -1, -1, -1, -1, -1, -1]
feudal	-0.8	0.87178	[-1, -2, -2, 0, 0, 0, -2, -1, 0, 0]
feudalism	-0.9	1.37477	[-2, -3, -2, -3, 0, 0, 1, 0, 0, 0]
feudalisms	-0.2	0.74833	[0, 0, 0, 0, 0, 0, -1, 0, -2, 1]
feudalist	-0.9	1.13578	[-2, -2, -2, -2, 0, 0, 1, 0, 0, -2]
feudalistic	-1.1	0.7	[0, -1, -1, 0, -2, -1, -2, -1, -2, -1]
feudalities	-0.4	1.0198	[-1, 0, -1, -2, -1, 0, -1, 0, 0, 2]
feudality	-0.5	1.28452	[1, -1, 0, -1, 1, 0, -3, -2, 1, -1]
feudalization	-0.3	1.18743	[-2, -2, 0, 0, 2, 0, -1, -1, 1, 0]
feudalize	-0.5	0.92195	[-1, 0, -1, 0, -2, 0, 1, 0, 0, -2]
feudalized	-0.8	1.07703	[-1, -1, -3, 0, 0, 0, 1, -1, -2, -1]
feudalizes	-0.1	0.53852	[0, 0, -1, 0, -1, 0, 0, 0, 1, 0]
feudalizing	-0.7	1.34536	[2, -2, -1, 0, 0, -2, -1, -2, 1, -2]
feudally	-0.6	0.66332	[0, 0, -1, -1, 0, -1, 0, -1, -2, 0]
feudaries	-0.3	0.9	[0, 0, 0, -2, -2, 0, 0, 0, 0, 1]
feudary	-0.8	0.74833	[0, 0, -1, -1, -2, 0, -1, 0, -2, -1]
feudatories	-0.5	0.92195	[-3, 0, -1, 0, 0, 0, 0, -1, 0, 0]
feudatory	-0.1	0.83066	[-2, 0, 0, 0, 1, 0, 1, -1, 0, 0]
feuded	-2.2	0.6	[-2, -2, -2, -1, -3, -3, -2, -3, -2, -2]
feuding	-1.6	0.66332	[-2, -1, -2, -2, -1, -1, -3, -1, -2, -1]
feudist	-1.1	0.83066	[-2, 0, -3, -1, -1, -1, 0, -1, -1, -1]
feudists	-0.7	0.9	[0, 0, -1, 0, 0, -2, -2, 0, -2, 0]
feuds	-1.4	1.0198	[-2, -2, -2, -1, -1, -1, -3, -2, 1, -1]
fiasco	-2.3	0.64031	[-2, -2, -3, -3, -2, -3, -1, -3, -2, -2]
fidgety	-1.4	0.66332	[-1, -2, -2, 0, -1, -1, -2, -1, -2, -2]
fiery	-1.4	0.91652	[0, -1, -1, -2, -2, 0, -3, -1, -2, -2]
fiesta	2.1	0.7	[3, 2, 1, 2, 2, 1, 3, 3, 2, 2]
fiestas	1.5	1.0247	[3, 0, 3, 1, 0, 2, 2, 1, 2, 1]
fight	-1.6	1.56205	[-1, -2, -3, -3, -1, 2, -4, -1, -2, -1]
fighter	0.6	1.11355	[3, 0, 0, -1, 1, 0, 1, 0, 2, 0]
fighters	-0.2	1.46969	[-1, 2, -2, 0, 2, 0, -2, -2, 0, 1]
fighting	-1.5	1.11803	[-1, -2, -3, -2, -2, -2, 0, -3, 0, 0]
fightings	-1.9	0.53852	[-2, -3, -1, -2, -2, -2, -2, -1, -2, -2]
fights	-1.7	0.64031	[-2, -2, -1, -2, -2, -1, -3, -1, -1, -2]
fine	0.8	0.6	[1, 0, 1, 2, 1, 1, 1, 1, 0, 0]
fire	-1.4	1.49666	[-2, 0, -4, 0, -2, -1, -1, 0, -4, 0]
fired	-2.6	0.91652	[-2, -3, -4, -3, -3, -1, -3, -3, -1, -3]
firing	-1.4	0.8	[0, -1, -1, -1, -1, -2, -2, -3, -2, -1]
fit	1.5	1.0247	[2, 1, 2, 0, 4, 2, 1, 1, 1, 1]
fitness	1.1	0.9434	[0, 2, 1, 0, 1, 3, 2, 1, 0, 1]
flagship	0.4	0.91652	[0, 0, 0, 0, 0, 0, 0, 1, 3, 0]
flatter	0.4	1.42829	[-2, -2, 1, 2, 1, -1, 1, 2, 1, 1]
flattered	1.6	2.00998	[2, 3, 3, 1, 2, 3, 3, 1, 2, -4]
flatterer	-0.3	1.9	[-4, 2, -1, 1, 2, 2, -2, -1, -1, -1]
flatterers	0.3	1.84662	[2, 1, -2, 1, 0, -4, 2, 1, 2, 0]
flatteries	1.2	1.16619	[2, 2, 3, 1, -1, 0, 0, 1, 2, 2]
flattering	1.3	2.19317	[3, 2, 2, 3, -4, 4, -1, 2, 1, 1]
flatteringly	1.0	1.61245	[2, 2, 1, 2, 1, -3, -1, 2, 2, 2]
flatters	0.6	2.10713	[1, 1, 2, 2, 3, -1, -2, 2, -4, 2]
flattery	0.4	1.49666	[1, -1, -2, 1, 3, -2, 1, 1, 1, 1]
flawed	-2.1	0.99443	[-1, -2, -2, -4, -3, -2, -3, -1, -2, -1]
flawless	2.3	2.14709	[4, 3, 4, 4, 1, 2, 4, 4, -2, -1]
flawlessly	0.8	1.83303	[-2, 2, 3, 1, 0, -2, 2, 2, -1, 3]
flees	-0.7	1.18743	[-3, 0, -2, 0, -1, -1, -1, 1, -1, 1]
flexibilities	1.0	1.09545	[1, 3, 1, 0, 1, -1, 2, 0, 2, 1]
flexibility	1.4	0.8	[2, 2, 0, 2, 1, 2, 1, 0, 2, 2]
flexible	0.9	0.83066	[2, 1, 0, 0, 1, 2, 0, 1, 2, 0]
flexibly	1.3	0.78102	[2, 1, 0, 0, 1, 2, 2, 1, 2, 2]
flirtation	1.7	0.64031	[3, 1, 1, 2, 2, 1, 2, 1, 2, 2]
flirtations	-0.1	1.64012	[0, -4, 1, 0, 0, -2, 1, 1, 2, 0]
flirtatious	0.5	2.5	[-4, 1, 2, 1, 2, -3, 3, 4, -2, 1]
flirtatiously	-0.1	1.86815	[2, -1, 1, 2, 1, 1, -3, -3, -2, 1]
flirtatiousness	0.6	1.85472	[1, 0, 2, 1, 1, 2, 1, -4, -1, 3]
flirted	-0.2	1.98997	[1, 2, -1, 1, 1, 1, -3, -3, -3, 2]
flirter	-0.4	1.85472	[1, 2, -1, 0, 1, 1, -3, -3, -3, 1]
flirters	0.6	2.10713	[1, 4, 0, 1, 2, 1, -4, 2, 1, -2]
flirtier	-0.1	1.37477	[-2, 1, 1, 1, 1, -2, 1, -1, -2, 1]
flirtiest	0.4	1.74356	[3, 1, 2, 1, 1, -1, -3, -2, 1, 1]
flirting	0.8	1.83303	[1, 2, 2, 2, 2, -1, 1, 2, -4, 1]
flirts	0.7	1.18743	[2, -1, 2, 1, 1, -2, 1, 1, 1, 1]
flirty	0.6	1.35647	[2, -2, 2, 1, 1, -2, 1, 1, 1, 1]
flop	-1.4	0.4899	[-1, -1, -2, -1, -2, -1, -2, -1, -2, -1]
flops	-1.4	0.8	[-2, -2, -2, 0, -2, -1, -2, -1, 0, -2]
flu	-1.6	0.8	[0, -2, -1, -2, -1, -2, -3, -1, -2, -2]
flunk	-1.3	0.78102	[-2, -1, -1, -3, -1, -1, 0, -2, -1, -1]
flunked	-2.1	0.9434	[-4, -1, -3, -2, -1, -1, -3, -2, -2, -2]
flunker	-1.9	1.04403	[-4, -1, -3, -2, -1, -1, -3, -2, -1, -1]
flunkers	-1.6	0.8	[-2, -1, -3, -2, 0, -1, -1, -2, -2, -2]
flunkey	-1.8	0.9798	[-4, -1, -3, -2, -1, -1, -2, -2, -1, -1]
flunkeys	-0.6	1.2	[-2, -1, -1, 2, -1, 0, -1, -2, 1, -1]
flunkies	-1.4	1.11355	[-2, -2, 0, -3, 1, -2, -1, -2, -1, -2]
flunking	-1.5	0.92195	[-2, -1, -1, -3, -1, -1, 0, -2, -3, -1]
flunks	-1.8	1.32665	[0, -2, -3, -3, -2, -3, -2, -1, 1, -3]
flunky	-1.8	1.4	[-2, -3, -3, -3, -2, -1, -2, -2, 2, -2]
flustered	-1.0	1.18322	[-1, -1, -1, -1, -3, -2, 2, -1, -1, -1]
focused	1.6	0.91652	[2, 2, 1, 3, 0, 1, 1, 2, 3, 1]
foe	-1.9	1.22066	[-1, -3, -2, -2, -2, -2, -4, 1, -2, -2]
foehns	0.2	0.4	[1, 0, 0, 0, 0, 0, 0, 0, 1, 0]
foeman	-1.8	0.6	[-2, -3, -1, -2, -2, -2, -2, -1, -1, -2]
foemen	-0.3	1.18743	[0, 0, -1, 0, 0, -2, -2, -1, 2, 1]
foes	-2.0	0.89443	[-2, -1, -2, -2, -4, -3, -2, -1, -1, -2]
foetal	-0.1	0.3	[0, -1, 0, 0, 0, 0, 0, 0, 0, 0]
foetid	-2.3	1.41774	[-1, -3, 0, -2, -3, 0, -3, -3, -4, -4]
foetor	-3.0	0.89443	[-3, -4, -2, -3, -3, -1, -4, -4, -3, -3]
foetors	-2.1	1.04403	[-2, -3, -1, -3, -2, -2, 0, -4, -2, -2]
foetus	0.2	0.6	[0, 0, 0, 0, 0, 0, 0, 0, 2, 0]
foetuses	0.2	0.6	[2, 0, 0, 0, 0, 0, 0, 0, 0, 0]
fond	1.9	0.83066	[2, 3, 2, 3, 1, 1, 3, 2, 1, 1]
fondly	1.9	0.7	[1, 2, 3, 2, 2, 3, 2, 1, 1, 2]
fondness	2.5	0.67082	[3, 2, 2, 2, 2, 3, 4, 3, 2, 2]
fool	-1.9	0.53852	[-2, -2, -2, -2, -1, -2, -2, -3, -1, -2]
fooled	-1.6	0.4899	[-2, -1, -1, -2, -2, -1, -2, -1, -2, -2]
fooleries	-1.8	1.07703	[-1, -2, 0, -2, -1, -2, -4, -2, -3, -1]
foolery	-1.8	0.87178	[-2, -2, -3, 0, -3, -1, -2, -2, -2, -1]
foolfish	-0.8	0.87178	[-1, 0, -1, -2, 0, 0, 0, -2, 0, -2]
foolfishes	-0.4	0.4899	[-1, -1, -1, 0, 0, 0, 0, 0, 0, -1]
foolhardier	-1.5	0.67082	[-2, -1, -2, -1, -2, -1, -2, -2, 0, -2]
foolhardiest	-1.3	0.64031	[0, -2, -1, -1, -1, -1, -2, -1, -2, -2]
foolhardily	-1.0	1.41421	[-1, -1, -2, -2, -2, -2, -1, -1, 3, -1]
foolhardiness	-1.6	0.66332	[-3, -1, -1, -1, -2, -1, -2, -2, -2, -1]
foolhardy	-1.4	0.4899	[-2, -2, -1, -1, -1, -2, -1, -1, -2, -1]
fooling	-1.7	0.64031	[-2, -2, -1, -2, -2, -2, -1, -3, -1, -1]
foolish	-1.1	0.83066	[-1, -1, -1, -2, -2, -1, -1, -2, 1, -1]
foolisher	-1.7	0.64031	[-2, -1, -2, -1, -2, -1, -2, -3, -2, -1]
foolishest	-1.4	1.28062	[-2, 1, -2, -3, -2, -2, -1, 1, -2, -2]
foolishly	-1.8	0.6	[-2, -1, -2, -2, -3, -1, -1, -2, -2, -2]
foolishness	-1.8	0.6	[-1, -1, -2, -2, -2, -1, -3, -2, -2, -2]
foolishnesses	-2.0	0.89443	[-1, -1, -1, -2, -3, -1, -3, -3, -2, -3]
foolproof	1.6	0.91652	[2, 1, 3, 1, 1, 0, 1, 2, 2, 3]
fools	-2.2	0.74833	[-2, -4, -2, -2, -1, -2, -2, -2, -2, -3]
foolscaps	-0.8	0.6	[0, -1, -1, -1, 0, -1, -2, 0, -1, -1]
forbid	-1.3	0.78102	[-2, -2, -1, -1, -1, -1, 0, -1, -1, -3]
forbiddance	-1.4	1.35647	[-3, -1, -2, -3, -1, 2, -1, -2, -2, -1]
forbiddances	-1.0	2.0	[-2, 3, 1, -2, -4, -2, -3, -1, -1, 1]
forbidden	-1.8	0.74833	[-1, -2, -2, -2, -1, -1, -3, -3, -2, -1]
forbidder	-1.6	0.66332	[-1, -2, -2, -2, -2, 0, -2, -2, -2, -1]
forbidders	-1.5	0.80623	[-1, -2, -1, -3, -2, -2, 0, -2, -1, -1]
forbidding	-1.9	0.7	[-3, -1, -1, -2, -2, -1, -3, -2, -2, -2]
forbiddingly	-1.9	0.53852	[-2, -1, -2, -2, -2, -2, -3, -2, -1, -2]
forbids	-1.3	0.45826	[-1, -1, -2, -1, -1, -2, -1, -2, -1, -1]
forced	-2.0	0.63246	[-1, -2, -3, -3, -1, -2, -2, -2, -2, -2]
foreclosure	-0.5	1.43178	[-1, -2, -3, 2, -1, 1, -1, 0, 1, -1]
foreclosures	-2.4	0.66332	[-3, -2, -3, -2, -3, -3, -1, -2, -2, -3]
forgave	1.4	0.91652	[2, 2, 1, 2, 1, -1, 1, 2, 2, 2]
forget	-0.9	0.53852	[-1, -1, -1, -1, 0, -1, -1, 0, -2, -1]
forgetful	-1.1	1.3	[-3, -1, -2, 1, 0, -2, 1, -1, -2, -2]
forgivable	1.7	0.64031	[2, 1, 2, 1, 2, 2, 1, 2, 3, 1]
forgivably	1.6	0.66332	[1, 1, 2, 1, 2, 2, 1, 2, 3, 1]
forgive	1.1	1.22066	[2, 1, 1, 3, 1, 1, 1, 2, -2, 1]
forgiven	1.6	0.66332	[2, 1, 1, 3, 2, 2, 1, 2, 1, 1]
forgiveness	1.1	1.22066	[2, 1, 1, 1, 3, 2, -2, 1, 1, 1]
forgiver	1.7	0.78102	[3, 1, 1, 3, 1, 2, 1, 2, 2, 1]
forgivers	1.2	0.6	[2, 1, 2, 1, 0, 1, 1, 2, 1, 1]
forgives	1.7	0.78102	[2, 1, 3, 1, 1, 3, 2, 1, 1, 2]
forgiving	1.9	0.7	[2, 3, 2, 1, 2, 3, 1, 1, 2, 2]
forgivingly	1.4	0.4899	[2, 1, 2, 1, 1, 1, 2, 1, 2, 1]
forgivingness	1.8	0.6	[3, 1, 2, 1, 2, 2, 2, 2, 2, 1]
forgotten	-0.9	0.53852	[-1, 0, -1, 0, -1, -1, -1, -1, -2, -1]
fortunate	1.9	0.53852	[2, 2, 1, 1, 2, 2, 2, 3, 2, 2]
fought	-1.3	0.78102	[-2, -1, -2, -1, 0, -1, -1, -1, -1, -3]
foughten	-1.9	1.3	[-1, -3, 0, -2, -4, -3, -2, 0, -1, -3]
frantic	-1.9	0.7	[-3, -2, -2, -1, -2, -1, -2, -3, -1, -2]
frantically	-1.4	0.4899	[-2, -1, -2, -1, -1, -1, -1, -1, -2, -2]
franticness	-0.7	1.18743	[-1, -2, 2, -1, -1, -1, 1, -2, -1, -1]
fraud	-2.8	0.6	[-3, -3, -2, -3, -2, -3, -3, -2, -4, -3]
frauds	-2.3	0.45826	[-2, -2, -2, -3, -3, -2, -3, -2, -2, -2]
fraudster	-2.5	0.92195	[-4, -1, -2, -2, -4, -2, -3, -2, -3, -2]
fraudsters	-2.4	0.91652	[-4, -3, -3, -3, -1, -2, -2, -2, -1, -3]
fraudulence	-2.3	0.78102	[-3, -2, -2, -3, -2, -1, -2, -4, -2, -2]
fraudulent	-2.2	0.6	[-2, -3, -2, -2, -2, -1, -3, -3, -2, -2]
freak	-1.9	0.9434	[-3, -2, -1, -2, -4, -1, -2, -1, -2, -1]
freaked	-1.2	1.32665	[-2, -2, 1, 0, -1, -2, -3, 1, -2, -2]
freakier	-1.3	1.1	[-3, -2, -2, 1, -2, -2, -1, 0, -1, -1]
freakiest	-1.6	1.0198	[-2, -3, -3, -3, -1, -1, -1, 0, -1, -1]
freakiness	-1.4	0.8	[-1, -1, -1, -2, -3, 0, -2, -1, -2, -1]
freaking	-1.8	1.16619	[0, -4, -3, -2, -3, -1, -1, -1, -2, -1]
freakish	-2.1	1.37477	[-1, -3, -2, -1, -2, -3, -4, -3, 1, -3]
freakishly	-0.8	1.249	[-2, -2, 1, -2, -1, 1, -1, 1, -1, -2]
freakishness	-1.4	1.68523	[-2, -4, -1, 0, -1, -2, 1, 1, -4, -2]
freakout	-1.8	1.6	[-3, 1, -3, -2, -3, -1, -4, 1, -2, -2]
freakouts	-1.5	0.92195	[-2, -2, -1, -1, -2, -2, -2, 1, -2, -2]
freaks	-0.4	1.35647	[2, 0, -2, -1, 0, 1, -2, 1, -1, -2]
freaky	-1.5	1.20416	[-2, -2, -2, -2, -1, -2, 2, -2, -2, -2]
free	2.3	0.9	[2, 4, 3, 3, 2, 1, 2, 3, 1, 2]
freebase	-0.1	1.44568	[2, 0, -2, 1, -3, 0, -1, 0, 1, 1]
freebased	0.8	1.16619	[2, 0, -1, 0, 3, 0, 1, 2, 1, 0]
freebases	0.8	1.249	[2, 0, -1, 0, 2, 0, 0, 3, 2, 0]
freebasing	-0.4	1.56205	[-4, -2, 0, 0, 1, 2, 0, -1, 0, 0]
freebee	1.3	0.78102	[1, 2, 1, 1, 1, 0, 3, 2, 1, 1]
freebees	1.3	1.26886	[2, 2, -2, 2, 2, 2, 0, 2, 1, 2]
freebie	1.8	0.9798	[2, 1, 3, 2, 2, 4, 1, 1, 1, 1]
freebies	1.8	0.9798	[2, 3, 1, 1, 2, 4, 1, 1, 2, 1]
freeboard	0.3	0.64031	[0, 0, 0, 0, 0, 1, 0, 0, 0, 2]
freeboards	0.7	0.9	[0, 0, 0, 1, 0, 0, 2, 2, 2, 0]
freeboot	-0.7	1.67631	[1, -2, -3, -2, -1, -2, -1, 2, -1, 2]
freebooter	-1.7	1.00499	[-2, -2, -3, -3, -2, -2, 0, -1, 0, -2]
freebooters	-0.2	1.32665	[-1, -3, 1, 0, -2, 1, 0, 1, 0, 1]
freebooting	-0.8	1.249	[-2, -2, -1, 2, -1, -1, -1, 1, -2, -1]
freeborn	1.2	0.74833	[1, 0, 3, 1, 1, 1, 1, 1, 2, 1]
freed	1.7	1.34536	[-2, 2, 3, 2, 2, 2, 3, 1, 2, 2]
freedman	1.1	0.9434	[1, 2, 0, 1, 2, 1, 3, 0, 0, 1]
freedmen	0.7	0.78102	[1, 2, 1, 2, 0, 1, 0, 0, 0, 0]
freedom	3.2	0.9798	[4, 4, 1, 3, 2, 4, 4, 3, 3, 4]
freedoms	1.2	1.07703	[2, 1, 1, 3, 2, 1, 2, 1, -1, 0]
freedwoman	1.6	1.74356	[3, 2, 0, 4, 4, 3, 1, -1, 0, 0]
freedwomen	1.3	0.78102	[2, 0, 2, 0, 2, 1, 1, 1, 2, 2]
freeform	0.9	0.83066	[0, 0, 0, 2, 1, 2, 1, 1, 2, 0]
freehand	0.5	0.80623	[0, 0, 0, 1, 0, 2, 0, 2, 0, 0]
freehanded	1.4	0.91652	[3, 0, 0, 2, 1, 2, 2, 1, 2, 1]
freehearted	1.5	0.67082	[2, 0, 1, 2, 2, 2, 2, 1, 1, 2]
freehold	0.7	0.78102	[1, 1, 0, 0, 2, 0, 2, 0, 1, 0]
freeholder	0.5	0.5	[1, 1, 0, 0, 0, 1, 1, 0, 1, 0]
freeholders	0.1	0.83066	[0, 0, 1, 0, 0, 1, 0, -2, 0, 1]
freeholds	1.0	0.63246	[1, 0, 2, 0, 1, 2, 1, 1, 1, 1]
freeing	2.1	1.04403	[2, 1, 1, 1, 4, 2, 2, 4, 2, 2]
freelance	1.2	1.66132	[3, 0, 0, 0, 0, 1, 4, 0, 4, 0]
freelanced	0.7	1.00499	[3, 0, 0, 0, 0, 2, 1, 0, 1, 0]
freelancer	1.1	1.04403	[2, 0, 3, 2, 1, 0, 0, 0, 2, 1]
freelancers	0.4	0.66332	[0, 0, 0, 2, 0, 0, 0, 1, 1, 0]
freelances	0.7	0.9	[1, 0, 0, 0, 0, 2, 2, 0, 2, 0]
freelancing	0.4	0.66332	[2, 0, 0, 0, 1, 0, 0, 0, 1, 0]
freeload	-1.9	1.04403	[-2, -3, -1, -2, -1, 0, -1, -3, -3, -3]
freeloaded	-1.6	0.8	[-2, 0, -3, -1, -1, -2, -2, -2, -2, -1]
freeloader	-0.7	1.00499	[-2, 0, -1, -2, -1, 1, -1, 1, -1, -1]
freeloaders	-0.1	1.57797	[-2, -2, -1, 0, 0, 2, -2, 0, 2, 2]
freeloading	-1.3	2.0025	[1, -2, -4, -2, -3, -3, 1, 2, 0, -3]
freeloads	-1.3	0.9	[-1, -1, -2, -2, -2, 0, 0, -1, -1, -3]
freely	1.9	0.53852	[2, 1, 2, 2, 2, 3, 2, 2, 1, 2]
freeman	1.7	0.78102	[2, 2, 2, 1, 2, 0, 3, 1, 2, 2]
freemartin	-0.5	0.92195	[0, 0, 0, -1, 0, -1, 0, 0, -3, 0]
freemasonries	0.7	0.78102	[0, 1, 0, 0, 0, 1, 1, 0, 2, 2]
freemasonry	0.3	0.64031	[1, 0, 2, 0, 0, 0, 0, 0, 0, 0]
freemen	1.5	0.67082	[1, 1, 0, 2, 2, 2, 2, 2, 1, 2]
freeness	1.6	0.66332	[1, 2, 3, 2, 2, 1, 1, 1, 2, 1]
freenesses	1.7	0.78102	[1, 2, 1, 2, 2, 2, 3, 2, 2, 0]
freer	1.1	0.7	[2, 2, 0, 2, 1, 1, 1, 0, 1, 1]
freers	1.0	0.89443	[0, 1, 1, 2, 3, 1, 0, 1, 0, 1]
frees	1.2	0.6	[1, 2, 0, 1, 1, 1, 2, 1, 1, 2]
freesia	0.4	0.91652	[0, 0, 3, 0, 1, 0, 0, 0, 0, 0]
freesias	0.4	0.66332	[0, 0, 0, 1, 1, 2, 0, 0, 0, 0]
freest	1.6	1.28062	[3, 4, 0, 3, 0, 1, 1, 2, 1, 1]
freestanding	1.1	0.83066	[2, 1, 1, 2, 0, 0, 0, 2, 1, 2]
freestyle	0.7	0.9	[2, 0, 1, 0, 2, 0, 0, 2, 0, 0]
freestyler	0.4	0.91652	[0, 0, 0, 0, 1, 0, 0, 0, 0, 3]
freestylers	0.8	0.87178	[2, 1, 0, 0, 0, 1, 0, 2, 2, 0]
freestyles	0.3	0.64031	[0, 0, 0, 0, 1, 0, 0, 0, 0, 2]
freethinker	1.0	0.63246	[1, 2, 1, 1, 2, 1, 0, 0, 1, 1]
freethinkers	1.0	0.7746	[1, 0, 0, 1, 2, 2, 1, 2, 0, 1]
freethinking	1.1	0.7	[1, 0, 1, 1, 2, 2, 0, 2, 1, 1]
freeware	0.7	1.48661	[1, 0, 0, 2, 4, 0, 1, -2, 1, 0]
freeway	0.2	0.6	[0, 0, 0, 0, 0, 0, 2, 0, 0, 0]
freewheel	0.5	1.11803	[2, 0, 1, 2, 0, -2, 0, 0, 1, 1]
freewheeled	0.3	0.78102	[1, 0, 0, 0, 0, 1, 2, -1, 0, 0]
freewheeler	0.2	0.87178	[-2, 1, 0, 0, 0, 1, 1, 1, 0, 0]
freewheelers	-0.3	1.00499	[-2, 0, 0, 0, 2, -1, -1, 0, -1, 0]
freewheeling	0.5	1.11803	[-1, 2, 0, -1, 1, 2, 2, 0, 0, 0]
freewheelingly	0.8	0.87178	[1, 2, 0, 0, 1, 2, 1, -1, 1, 1]
freewheels	0.6	0.91652	[0, 3, 1, 1, 1, 0, 0, 0, 0, 0]
freewill	1.0	0.7746	[1, 1, 1, -1, 1, 1, 1, 2, 2, 1]
freewriting	0.8	1.07703	[0, 2, 0, 0, 1, 0, 3, 0, 2, 0]
freeze	0.2	0.9798	[-1, 0, 1, 1, -1, 0, 0, -1, 2, 1]
freezers	-0.1	0.3	[0, 0, 0, -1, 0, 0, 0, 0, 0, 0]
freezes	-0.1	1.13578	[0, -2, -2, 1, 0, 0, 0, 0, 2, 0]
freezing	-0.4	1.28062	[-2, -1, -2, -2, 0, 0, 0, 1, 2, 0]
freezingly	-1.6	0.4899	[-1, -2, -2, -1, -2, -2, -2, -2, -1, -1]
frenzy	-1.3	1.48661	[-1, -1, -2, -2, 2, -4, -1, -2, 0, -2]
fresh	1.3	0.45826	[2, 2, 1, 1, 1, 1, 2, 1, 1, 1]
friend	2.2	0.6	[2, 2, 3, 2, 3, 3, 1, 2, 2, 2]
friended	1.7	0.78102	[2, 2, 1, 3, 1, 1, 2, 3, 1, 1]
friending	1.8	1.07703	[1, 4, 2, 0, 1, 3, 2, 2, 1, 2]
friendless	-1.5	0.67082	[-1, -2, -2, -1, 0, -2, -1, -2, -2, -2]
friendlessness	-0.3	2.05183	[-2, -2, 2, 1, -4, -1, 2, 1, -2, 2]
friendlier	2.0	0.63246	[3, 2, 2, 1, 2, 2, 2, 1, 3, 2]
friendlies	2.2	0.74833	[3, 2, 2, 3, 2, 2, 1, 3, 1, 3]
friendliest	2.6	0.91652	[3, 3, 1, 3, 2, 1, 3, 3, 4, 3]
friendlily	1.8	0.74833	[1, 2, 2, 1, 3, 1, 1, 2, 3, 2]
friendliness	2.0	0.7746	[3, 1, 3, 2, 2, 3, 2, 1, 2, 1]
friendly	2.2	0.6	[2, 1, 3, 3, 2, 2, 3, 2, 2, 2]
friends	2.1	0.53852	[3, 3, 2, 2, 2, 1, 2, 2, 2, 2]
friendship	1.9	0.53852	[1, 2, 2, 1, 3, 2, 2, 2, 2, 2]
friendships	1.6	0.91652	[2, 1, 1, 0, 3, 2, 2, 3, 1, 1]
fright	-1.6	1.35647	[-2, -1, 0, -3, -2, -4, 1, -1, -2, -2]
frighted	-1.4	0.91652	[0, -1, -1, -1, -2, -1, -3, -1, -1, -3]
frighten	-1.4	0.8	[0, -1, -1, -1, -2, -1, -3, -2, -1, -2]
frightened	-1.9	0.7	[-2, -3, -1, -1, -2, -2, -3, -1, -2, -2]
frightening	-2.2	0.9798	[-1, -1, -4, -3, -3, -3, -2, -2, -1, -2]
frighteningly	-2.1	0.7	[-2, -2, -2, -2, -4, -2, -1, -2, -2, -2]
frightens	-1.7	0.78102	[-2, -1, -2, -1, -1, -1, -2, -3, -3, -1]
frightful	-2.3	0.78102	[-2, -2, -2, -2, -3, -2, -3, -1, -4, -2]
frightfully	-1.7	0.78102	[-1, -1, -1, -2, -2, -1, -2, -3, -1, -3]
frightfulness	-1.9	0.7	[-1, -1, -2, -3, -3, -2, -1, -2, -2, -2]
frighting	-1.5	0.67082	[-1, -2, -2, -3, -1, -1, -1, -1, -2, -1]
frights	-1.1	0.83066	[-2, 0, -2, 0, -2, -1, 0, -1, -1, -2]
frisky	1.0	1.48324	[1, -2, 1, 1, 1, 3, 3, 2, -1, 1]
frowning	-1.4	1.42829	[-1, -1, -1, -3, -3, 1, -2, -3, 1, -2]
frustrate	-2.0	0.63246	[-2, -3, -2, -1, -3, -2, -2, -1, -2, -2]
frustrated	-2.4	0.66332	[-2, -1, -3, -3, -2, -2, -3, -2, -3, -3]
frustrates	-1.9	0.7	[-1, -1, -3, -2, -1, -2, -2, -2, -3, -2]
frustrating	-1.9	0.83066	[-2, -2, -1, -1, -1, -2, -2, -2, -4, -2]
frustratingly	-2.0	0.63246	[-1, -3, -2, -2, -2, -2, -2, -3, -2, -1]
frustration	-2.1	0.7	[-3, -2, -3, -2, -1, -2, -3, -2, -1, -2]
frustrations	-2.0	0.7746	[-2, -1, -1, -3, -2, -2, -3, -3, -2, -1]
fuck	-2.5	1.20416	[0, -3, -4, -3, -2, -3, -4, -1, -2, -3]
fucked	-3.4	0.66332	[-2, -3, -4, -3, -4, -4, -3, -4, -3, -4]
fucker	-3.3	0.78102	[-3, -4, -4, -2, -3, -4, -4, -2, -4, -3]
fuckers	-2.9	0.9434	[-3, -3, -4, -3, -4, -4, -2, -1, -2, -3]
fuckface	-3.2	1.07703	[-4, -2, -4, -1, -4, -4, -2, -4, -3, -4]
fuckhead	-3.1	1.04403	[-1, -4, -2, -4, -3, -3, -2, -4, -4, -4]
fucks	-2.1	1.13578	[-3, -2, -1, -1, -1, -2, -4, -2, -4, -1]
fucktard	-3.1	0.9434	[-4, -4, -4, -3, -4, -2, -4, -2, -2, -2]
fud	-1.1	1.37477	[-1, -3, -1, -1, -3, -2, 2, 0, -1, -1]
fuked	-2.5	0.92195	[-2, -3, -3, -3, -3, -3, 0, -3, -3, -2]
fuking	-3.2	0.9798	[-4, -1, -3, -4, -3, -2, -4, -3, -4, -4]
fulfill	1.9	1.04403	[1, 1, 2, 4, 1, 1, 2, 1, 3, 3]
fulfilled	1.8	0.87178	[1, 2, 1, 0, 2, 2, 3, 2, 2, 3]
fulfills	1.0	1.09545	[2, 1, 1, 1, 1, -2, 2, 2, 1, 1]
fume	-1.2	1.16619	[0, 0, 0, -2, -3, -2, -1, -3, -1, 0]
fumed	-1.8	0.87178	[-3, -2, -3, -2, -2, 0, -2, -1, -1, -2]
fumeless	0.3	0.64031	[0, 0, 0, 1, 0, 0, 0, 2, 0, 0]
fumelike	-0.7	1.18743	[0, 0, -3, 0, 0, -2, -1, -2, 1, 0]
fumer	0.7	0.9	[2, 1, 0, 1, 0, 2, 0, -1, 1, 1]
fumers	-0.8	0.6	[0, -1, -1, -2, -1, 0, 0, -1, -1, -1]
fumes	-0.1	1.13578	[0, -2, 0, 0, -1, 1, -1, -1, 1, 2]
fumet	0.4	1.0198	[2, 0, 0, -1, 0, 1, -1, 0, 2, 1]
fumets	-0.4	0.66332	[0, -1, 0, -1, 0, 0, -2, 0, 0, 0]
fumette	-0.6	1.11355	[-2, -2, 0, -1, -1, 2, 0, 0, -1, -1]
fuming	-2.7	0.64031	[-2, -3, -3, -2, -3, -4, -3, -2, -2, -3]
fun	2.3	0.45826	[2, 3, 2, 3, 2, 2, 3, 2, 2, 2]
funeral	-1.5	1.74642	[-2, -3, -2, -1, -3, -1, -4, 1, 2, -2]
funerals	-1.6	2.2891	[-3, -4, -1, -4, 2, -3, -3, 2, 1, -3]
funky	-0.4	1.62481	[0, -1, 2, -1, 2, 0, -4, -1, 0, -1]
funned	2.3	0.9	[2, 3, 3, 4, 1, 2, 2, 2, 3, 1]
funnel	0.1	0.53852	[1, 0, 0, 0, 0, -1, 0, 0, 1, 0]
funneled	0.1	0.3	[0, 0, 0, 0, 0, 1, 0, 0, 0, 0]
funnelform	0.5	0.80623	[0, 0, 1, 0, 0, 0, 0, 2, 2, 0]
funneling	-0.1	0.3	[0, 0, 0, 0, -1, 0, 0, 0, 0, 0]
funnelled	-0.1	0.3	[0, 0, 0, 0, -1, 0, 0, 0, 0, 0]
funnelling	0.1	0.3	[0, 0, 0, 0, 1, 0, 0, 0, 0, 0]
funnels	0.4	0.66332	[0, 0, 0, 1, 0, 0, 0, 0, 2, 1]
funner	2.2	0.74833	[2, 2, 3, 4, 1, 2, 2, 2, 2, 2]
funnest	2.9	0.7	[4, 3, 4, 3, 2, 3, 2, 3, 2, 3]
funnier	1.7	1.00499	[2, 2, -1, 2, 2, 2, 3, 1, 2, 2]
funnies	1.3	1.00499	[2, 1, -1, 2, 1, 2, 3, 1, 1, 1]
funniest	2.6	0.8	[3, 3, 3, 3, 2, 2, 1, 2, 4, 3]
funnily	1.9	0.53852	[2, 3, 1, 2, 2, 2, 2, 1, 2, 2]
funniness	1.8	0.9798	[3, 2, 3, 2, 2, 1, 3, 0, 1, 1]
funninesses	1.6	0.91652	[1, 3, 0, 3, 1, 2, 1, 2, 2, 1]
funning	1.8	0.9798	[2, 2, 1, 2, 1, 4, 0, 2, 2, 2]
funny	1.9	0.53852	[3, 2, 2, 1, 2, 2, 1, 2, 2, 2]
funnyman	1.4	0.4899	[2, 2, 1, 2, 1, 1, 1, 1, 2, 1]
funnymen	1.3	1.1	[2, 1, 1, 0, 0, 3, 3, 1, 2, 0]
furious	-2.7	1.41774	[-3, -3, -3, -4, -4, -4, 1, -2, -3, -2]
furiously	-1.9	1.04403	[-2, -2, -4, -2, -1, -2, -1, -3, 0, -2]
fury	-2.7	0.78102	[-4, -3, -2, -2, -2, -3, -4, -2, -3, -2]
futile	-1.9	0.83066	[0, -3, -2, -2, -2, -2, -3, -1, -2, -2]
gag	-1.4	1.0198	[-2, -2, -1, -2, 0, -2, -3, 0, 0, -2]
gagged	-1.3	1.55242	[-2, -2, -1, -2, 2, -3, -1, -3, 1, -2]
gain	2.4	0.4899	[2, 3, 2, 2, 3, 2, 3, 2, 3, 2]
gained	1.6	0.66332	[2, 1, 2, 1, 1, 3, 2, 1, 2, 1]
gaining	1.8	0.4	[1, 2, 2, 2, 1, 2, 2, 2, 2, 2]
gains	1.4	0.4899	[1, 2, 1, 2, 2, 2, 1, 1, 1, 1]
gallant	1.7	1.1	[4, 0, 3, 1, 1, 2, 2, 2, 1, 1]
gallantly	1.9	0.53852	[2, 2, 3, 2, 2, 2, 2, 1, 2, 1]
gallantry	2.6	0.8	[3, 3, 1, 2, 2, 3, 4, 2, 3, 3]
geek	-0.8	0.9798	[0, 0, 0, -2, -3, -1, -1, 0, 0, -1]
geekier	0.2	1.4	[0, 3, -1, -1, -1, 1, 2, 1, -1, -1]
geekiest	-0.1	0.9434	[1, -1, -1, -1, -1, 1, 1, 1, 0, -1]
geeks	-0.4	0.91652	[0, 0, -1, 0, 0, 0, 0, 0, -3, 0]
geeky	-0.6	0.91652	[0, 0, -1, 0, -1, 0, -1, 0, -3, 0]
generosities	2.6	0.4899	[3, 3, 2, 3, 2, 3, 2, 3, 2, 3]
generosity	2.3	0.64031	[3, 1, 2, 2, 3, 2, 3, 3, 2, 2]
generous	2.3	0.78102	[3, 2, 4, 2, 2, 1, 2, 3, 2, 2]
generously	1.8	0.74833	[3, 3, 2, 1, 2, 1, 1, 2, 1, 2]
generousness	2.4	0.91652	[3, 2, 3, 1, 3, 4, 3, 2, 2, 1]
genial	1.8	0.6	[3, 1, 2, 1, 2, 2, 1, 2, 2, 2]
gentle	1.9	0.53852	[2, 2, 2, 1, 2, 3, 2, 2, 1, 2]
gentler	1.4	0.4899	[2, 1, 1, 1, 1, 2, 2, 1, 2, 1]
gentlest	1.8	0.4	[2, 1, 2, 2, 2, 1, 2, 2, 2, 2]
gently	2.0	0.7746	[2, 2, 2, 1, 1, 3, 3, 2, 1, 3]
ghost	-1.3	1.34536	[-2, 0, 0, 0, 0, -3, -2, -3, 0, -3]
giddy	-0.6	1.62481	[-2, -2, 3, -1, -1, -1, -1, -2, 2, -1]
gift	1.9	0.53852	[2, 1, 2, 2, 2, 1, 2, 3, 2, 2]
giggle	1.8	0.9798	[2, 2, 2, 2, 2, 3, 2, -1, 2, 2]
giggled	1.5	1.20416	[1, 3, 1, 3, 3, 1, 1, -1, 2, 1]
giggler	0.6	0.8	[1, 1, 1, 1, -1, 1, 1, 1, -1, 1]
gigglers	1.4	0.4899	[1, 2, 2, 1, 2, 1, 1, 1, 1, 2]
giggles	0.8	1.249	[1, 2, 2, 1, -1, 1, 1, 2, -2, 1]
gigglier	1.0	1.09545	[2, 1, 1, 2, 2, 1, -1, 2, 1, -1]
giggliest	1.7	1.26886	[4, 2, 1, 2, 1, 3, 2, 2, -1, 1]
giggling	1.5	0.5	[2, 2, 1, 2, 2, 1, 1, 1, 1, 2]
gigglingly	1.1	1.37477	[1, 2, 1, 1, -1, 2, 1, -1, 4, 1]
giggly	1.0	1.41421	[1, 2, -2, 1, 2, 3, 1, -1, 2, 1]
giver	1.4	0.66332	[1, 2, 2, 0, 1, 2, 1, 2, 1, 2]
givers	1.7	1.34536	[2, -1, 3, 3, 3, 1, 1, 2, 0, 3]
giving	1.4	1.0198	[1, 1, 3, 1, 1, 2, 3, 0, 2, 0]
glad	2.0	0.63246	[3, 2, 1, 2, 2, 2, 1, 3, 2, 2]
gladly	1.4	0.4899	[2, 2, 1, 2, 1, 1, 2, 1, 1, 1]
glamor	2.1	0.9434	[1, 2, 2, 2, 1, 3, 2, 4, 3, 1]
glamorise	1.3	1.1	[0, 1, 4, 1, 0, 2, 1, 2, 1, 1]
glamorised	1.8	0.74833	[1, 2, 2, 2, 2, 2, 0, 2, 3, 2]
glamorises	2.1	1.04403	[1, 3, 2, 4, 2, 2, 0, 2, 3, 2]
glamorising	1.2	1.16619	[3, 2, 0, 3, 1, 2, 0, 1, 0, 0]
glamorization	1.6	0.91652	[2, 2, 3, 0, 3, 1, 2, 1, 1, 1]
glamorize	1.7	1.1	[1, 2, 1, 4, 2, 0, 3, 1, 2, 1]
glamorized	2.1	1.04403	[3, 2, 1, 2, 4, 2, 2, 0, 3, 2]
glamorizer	2.4	1.0198	[3, 2, 2, 3, 4, 3, 2, 0, 3, 2]
glamorizers	1.6	1.11355	[4, 1, 1, 1, 1, 2, 0, 2, 3, 1]
glamorizes	2.4	1.2	[3, 2, 2, 4, 4, 1, 2, 0, 3, 3]
glamorizing	1.8	1.16619	[3, 0, 1, 2, 3, 2, 1, 0, 3, 3]
glamorous	2.3	0.78102	[3, 2, 4, 2, 2, 2, 3, 2, 2, 1]
glamorously	2.1	1.04403	[1, 3, 2, 1, 2, 1, 4, 1, 3, 3]
glamors	1.4	0.66332	[1, 1, 2, 2, 2, 1, 2, 2, 0, 1]
glamour	2.4	0.91652	[2, 4, 2, 1, 3, 2, 2, 2, 2, 4]
glamourize	0.8	1.32665	[2, 1, 0, 1, 0, 4, 0, 0, -1, 1]
glamourless	-1.6	1.49666	[-4, -1, -1, -2, -2, -3, -2, -1, 2, -2]
glamourous	2.0	0.7746	[1, 3, 3, 2, 1, 2, 2, 2, 3, 1]
glamours	1.9	0.83066	[1, 3, 2, 2, 3, 2, 1, 1, 3, 1]
glee	3.2	0.4	[3, 4, 3, 3, 4, 3, 3, 3, 3, 3]
gleeful	2.9	0.53852	[3, 3, 3, 3, 3, 4, 2, 2, 3, 3]
gloom	-2.6	0.66332	[-4, -2, -3, -3, -2, -3, -2, -2, -2, -3]
gloomed	-1.9	0.7	[-1, -2, -3, -1, -2, -2, -1, -2, -3, -2]
gloomful	-2.1	0.9434	[-3, -1, -4, -2, -1, -1, -2, -3, -2, -2]
gloomier	-1.5	1.20416	[-3, -2, -2, -3, -1, -2, 0, 1, -1, -2]
gloomiest	-1.8	2.03961	[-2, -2, 2, -4, -2, -3, -4, -3, 2, -2]
gloominess	-1.8	0.6	[-2, -1, -2, -3, -2, -1, -2, -2, -2, -1]
gloominesses	-1.0	1.09545	[-1, -2, -2, -1, -1, -2, 2, -1, -1, -1]
glooming	-1.8	0.74833	[-1, -2, -2, -1, -2, -1, -3, -1, -3, -2]
glooms	-0.9	1.57797	[3, -2, -1, -2, -2, -2, 1, -2, -1, -1]
gloomy	-0.6	1.56205	[2, -1, -2, -2, -2, -1, 1, -2, 2, -1]
gloried	2.4	1.0198	[2, 3, 3, 4, 4, 1, 1, 2, 2, 2]
glories	2.1	1.3	[4, 1, 4, 1, 1, 4, 2, 2, 1, 1]
glorification	2.0	0.89443	[3, 1, 3, 2, 3, 1, 1, 3, 2, 1]
glorified	2.3	0.9	[1, 4, 2, 2, 4, 2, 2, 2, 2, 2]
glorifier	2.3	1.00499	[1, 4, 1, 2, 4, 2, 3, 2, 2, 2]
glorifiers	1.6	1.0198	[2, 1, 2, -1, 2, 2, 2, 1, 2, 3]
glorifies	2.2	0.9798	[1, 4, 2, 2, 4, 2, 1, 2, 2, 2]
glorify	2.7	0.78102	[3, 3, 4, 3, 1, 3, 2, 3, 2, 3]
glorifying	2.4	1.28062	[3, 4, 2, 2, 4, 4, 0, 1, 2, 2]
gloriole	1.5	1.36015	[2, 4, 1, 2, 0, -1, 1, 3, 2, 1]
glorioles	1.2	0.87178	[0, 2, 0, 2, 0, 1, 2, 2, 1, 2]
glorious	3.2	0.6	[4, 3, 3, 2, 3, 3, 3, 4, 3, 4]
gloriously	2.9	0.83066	[3, 4, 3, 2, 4, 2, 2, 2, 4, 3]
gloriousness	2.6	1.0198	[3, 2, 3, 4, 3, 2, 1, 4, 3, 1]
glory	2.5	0.80623	[1, 3, 3, 1, 3, 3, 3, 2, 3, 3]
glum	-2.1	0.7	[-2, -1, -3, -3, -1, -2, -2, -3, -2, -2]
gn8	0.6	0.66332	[1, 1, 0, 0, 0, 0, 2, 1, 0, 1]
god	1.1	1.51327	[0, 0, 0, 1, 0, 3, 0, 3, 0, 4]
goddam	-2.5	1.28452	[0, -3, -3, -4, -3, -1, -4, -1, -3, -3]
goddammed	-2.4	0.91652	[-2, -3, -1, -1, -2, -2, -4, -3, -3, -3]
goddamn	-2.1	1.75784	[-3, -3, -2, -4, -4, -3, -3, -1, 1, 1]
goddamned	-1.8	2.03961	[-3, -3, -3, -4, -1, 2, -2, -3, 2, -3]
goddamns	-2.1	1.51327	[-3, -2, -4, 2, -2, -3, -3, -2, -2, -2]
goddams	-1.9	1.92094	[-3, -3, -2, -4, -4, -2, -3, -1, 2, 1]
godsend	2.8	0.87178	[2, 3, 3, 2, 4, 3, 3, 1, 4, 3]
good	1.9	0.9434	[2, 1, 1, 3, 2, 4, 2, 2, 1, 1]
goodness	2.0	1.54919	[2, 2, 2, 3, 1, 2, -2, 4, 3, 3]
gorgeous	3.0	0.63246	[3, 3, 2, 3, 3, 3, 4, 4, 3, 2]
gorgeously	2.3	0.78102	[2, 2, 2, 3, 1, 2, 4, 3, 2, 2]
gorgeousness	2.9	0.9434	[3, 4, 3, 1, 4, 4, 2, 2, 3, 3]
gorgeousnesses	2.1	0.7	[3, 2, 1, 3, 2, 2, 1, 2, 3, 2]
gossip	-0.7	0.45826	[-1, -1, -1, 0, 0, -1, -1, 0, -1, -1]
gossiped	-1.1	0.53852	[-1, -1, -1, -1, -1, -1, 0, -1, -2, -2]
gossiper	-1.1	0.7	[-1, -1, -1, 0, -2, -1, -1, -2, 0, -2]
gossipers	-1.1	0.53852	[-1, 0, -1, -1, -1, -1, -1, -1, -2, -2]
gossiping	-1.6	0.4899	[-1, -2, -1, -2, -1, -2, -2, -1, -2, -2]
gossipmonger	-1.0	1.41421	[-1, -2, 1, -3, -2, 1, -1, -2, -2, 1]
gossipmongers	-1.4	0.66332	[-2, -1, -1, -1, -2, -2, -1, 0, -2, -2]
gossipped	-1.3	0.9	[-2, -2, -1, -2, -1, -1, -2, -1, 1, -2]
gossipping	-1.8	0.6	[-2, -1, -2, -2, -1, -2, -2, -1, -3, -2]
gossipries	-0.8	0.6	[-1, -1, -1, 0, -1, 0, -1, 0, -2, -1]
gossipry	-1.2	1.16619	[1, 0, -1, -2, -1, -1, -1, -3, -3, -1]
gossips	-1.3	0.64031	[-1, -2, -1, -1, -2, -1, 0, -1, -2, -2]
gossipy	-1.3	0.78102	[-1, -2, -2, -1, -2, -1, 0, 0, -2, -2]
grace	1.8	0.4	[2, 1, 2, 2, 1, 2, 2, 2, 2, 2]
graced	0.9	1.04403	[1, 1, 2, -2, 1, 1, 1, 2, 1, 1]
graceful	2.0	0.63246	[2, 1, 2, 2, 2, 3, 3, 2, 2, 1]
gracefuller	2.2	0.74833	[2, 3, 2, 2, 1, 2, 3, 1, 3, 3]
gracefullest	2.8	0.74833	[3, 3, 3, 3, 1, 3, 3, 3, 4, 2]
gracefully	2.4	0.66332	[3, 3, 2, 1, 3, 2, 2, 2, 3, 3]
gracefulness	2.2	0.6	[3, 2, 1, 2, 2, 2, 3, 2, 2, 3]
graces	1.6	0.4899	[2, 2, 2, 1, 1, 2, 1, 2, 1, 2]
gracile	1.7	0.78102	[1, 3, 2, 1, 2, 3, 2, 1, 1, 1]
graciles	0.6	0.8	[0, 0, 0, 0, 0, 0, 2, 1, 2, 1]
gracilis	0.4	0.66332	[0, 0, 0, 0, 0, 1, 0, 1, 0, 2]
gracility	1.2	0.87178	[1, 1, 0, 1, 1, 3, 2, 2, 0, 1]
gracing	1.3	0.9	[1, 0, 3, 2, 1, 2, 0, 1, 2, 1]
gracioso	1.0	0.63246	[2, 2, 1, 1, 1, 1, 0, 1, 0, 1]
gracious	2.6	0.8	[2, 2, 3, 3, 3, 3, 2, 4, 1, 3]
graciously	2.3	0.9	[2, 4, 1, 3, 3, 2, 1, 2, 3, 2]
graciousness	2.4	0.66332	[2, 2, 2, 2, 2, 3, 4, 3, 2, 2]
grand	2.0	0.63246	[2, 2, 3, 1, 2, 2, 2, 2, 3, 1]
grandee	1.1	0.83066	[0, 1, 1, 0, 1, 1, 2, 1, 3, 1]
grandees	1.2	0.87178	[0, 2, 2, 1, 0, 1, 0, 2, 2, 2]
grander	1.7	0.9	[3, 1, 1, 2, 2, 2, 0, 2, 3, 1]
grandest	2.4	1.2	[3, 3, 1, 2, 2, 0, 4, 2, 4, 3]
grandeur	2.4	1.11355	[3, 2, 3, 2, 4, 1, 1, 4, 1, 3]
grandeurs	2.1	1.3	[2, 2, 1, 0, 0, 4, 3, 3, 3, 3]
grant	1.5	0.80623	[2, 2, 1, 0, 3, 1, 1, 1, 2, 2]
granted	1.0	1.09545	[3, 0, 0, 0, 0, 1, 2, 2, 2, 0]
granting	1.3	0.45826	[2, 1, 1, 2, 1, 2, 1, 1, 1, 1]
grants	0.9	0.7	[2, 1, 2, 1, 0, 1, 0, 0, 1, 1]
grateful	2.0	0.63246	[2, 3, 1, 2, 2, 2, 3, 1, 2, 2]
gratefuller	1.8	0.87178	[2, 3, 0, 3, 2, 1, 1, 2, 2, 2]
gratefully	2.1	0.53852	[2, 3, 2, 2, 2, 2, 2, 3, 1, 2]
gratefulness	2.2	0.6	[2, 3, 2, 1, 2, 2, 3, 2, 3, 2]
graticule	0.1	0.3	[0, 0, 0, 1, 0, 0, 0, 0, 0, 0]
graticules	0.2	0.6	[0, 0, 0, 0, 2, 0, 0, 0, 0, 0]
gratification	1.6	0.8	[1, 2, 3, 2, 2, 1, 2, 0, 2, 1]
gratifications	1.8	0.4	[2, 2, 1, 2, 2, 1, 2, 2, 2, 2]
gratified	1.6	0.91652	[3, 1, 1, 1, 3, 1, 1, 1, 1, 3]
gratifies	1.5	0.80623	[3, 1, 1, 1, 2, 1, 1, 1, 1, 3]
gratify	1.3	1.00499	[2, -1, 1, 3, 1, 1, 1, 1, 2, 2]
gratifying	2.3	0.45826	[2, 3, 2, 2, 2, 2, 3, 2, 2, 3]
gratifyingly	2.0	0.63246	[2, 2, 2, 1, 3, 2, 1, 3, 2, 2]
gratin	0.4	0.91652	[0, 1, 0, 0, 0, 0, 2, 0, -1, 2]
grating	-0.4	0.4899	[-1, -1, -1, 0, 0, -1, 0, 0, 0, 0]
gratingly	-0.2	1.6	[1, -3, -2, -2, 0, 2, 1, -1, 1, 1]
gratings	-0.8	0.9798	[0, -2, -1, -1, 0, 0, -3, 0, 0, -1]
gratins	0.2	0.6	[0, 0, 0, 0, 0, 0, 0, 0, 2, 0]
gratis	0.2	0.9798	[-2, 1, 1, 0, 0, 0, -1, 1, 1, 1]
gratitude	2.3	0.64031	[2, 2, 3, 1, 2, 3, 2, 3, 3, 2]
gratz	2.0	0.89443	[2, 3, 2, 1, 1, 1, 2, 2, 4, 2]
grave	-1.6	1.62481	[-2, -2, 0, -2, -3, 2, -3, -1, -1, -4]
graved	-0.9	1.13578	[0, 0, -1, 0, -1, -1, -1, -1, -4, 0]
gravel	-0.5	0.5	[0, -1, 0, -1, -1, -1, -1, 0, 0, 0]
graveled	-0.5	0.80623	[0, 0, 0, 0, -1, -2, 0, 0, -2, 0]
graveless	-1.3	1.34536	[-2, -2, 0, -1, 0, -2, -4, 1, -1, -2]
graveling	-0.4	1.28062	[-3, 0, -2, 0, 2, -1, 0, 0, 0, 0]
gravelled	-0.9	0.53852	[0, -1, -1, -2, 0, -1, -1, -1, -1, -1]
gravelling	-0.4	1.11355	[0, -1, -2, -2, 0, -1, 0, 0, 2, 0]
gravelly	-0.9	0.7	[0, -2, -1, -1, 0, -1, -1, 0, -1, -2]
gravels	-0.5	0.80623	[0, -1, 0, 0, 0, -2, 0, 0, 0, -2]
gravely	-1.5	1.0247	[0, -3, -1, 0, -3, -2, -1, -1, -2, -2]
graven	-0.9	1.22066	[0, 0, -1, 0, -2, -1, -1, 0, -4, 0]
graveness	-1.5	0.67082	[-1, -2, -2, -3, -2, -1, -1, -1, -1, -1]
graver	-1.1	1.22066	[0, -2, -1, 0, 0, -2, -1, 0, -4, -1]
gravers	-1.2	1.6	[-4, 0, -2, 0, -2, -2, -2, 0, 2, -2]
graves	-1.2	1.07703	[0, 0, -1, -1, -2, -1, -1, -1, -4, -1]
graveside	-0.8	0.6	[-1, -1, -1, 0, 0, 0, -1, -2, -1, -1]
gravesides	-1.6	1.2	[-2, -1, 0, -3, -1, 0, -1, -2, -2, -4]
gravest	-1.3	1.9	[-3, -1, -2, -2, 1, 1, -2, 2, -3, -4]
gravestone	-0.7	0.78102	[0, -1, 0, -1, -1, -2, 0, 0, -2, 0]
gravestones	-0.5	0.5	[-1, -1, 0, -1, -1, -1, 0, 0, 0, 0]
graveyard	-1.2	0.87178	[0, 0, -1, -2, -1, -1, -2, -1, -3, -1]
graveyards	-1.2	0.87178	[0, -1, -3, -1, -1, -2, 0, -1, -2, -1]
great	3.1	0.7	[2, 4, 4, 4, 3, 3, 3, 3, 2, 3]
greater	1.5	0.67082	[2, 1, 2, 1, 2, 2, 2, 1, 0, 2]
greatest	3.2	0.74833	[3, 4, 3, 3, 3, 4, 4, 2, 2, 4]
greed	-1.7	1.61555	[-2, -1, -2, -1, -2, -4, -1, 2, -4, -2]
greedier	-2.0	0.63246	[-2, -2, -2, -2, -2, -3, -2, -1, -1, -3]
greediest	-2.8	0.87178	[-3, -4, -3, -2, -2, -4, -4, -2, -2, -2]
greedily	-1.9	1.22066	[-2, -1, -3, -3, -3, -2, -1, -2, 1, -3]
greediness	-1.7	1.00499	[-2, -1, -2, -1, -2, -4, -1, 0, -2, -2]
greeds	-1.0	1.18322	[-1, -2, -2, -2, -2, -2, 1, 0, -1, 1]
greedy	-1.3	1.48661	[-2, -2, -2, -2, -3, -2, 2, -1, -2, 1]
greenwash	-1.8	1.4	[-1, 0, -2, -2, -3, -4, 0, 0, -3, -3]
greenwashing	-0.4	0.91652	[-1, 0, 0, 1, 1, -2, -1, -1, 0, -1]
greet	1.3	0.64031	[1, 1, 1, 1, 0, 2, 2, 2, 2, 1]
greeted	1.1	0.9434	[2, 0, 0, 1, 1, 1, 0, 2, 1, 3]
greeting	1.6	0.4899	[2, 1, 2, 2, 1, 2, 2, 1, 1, 2]
greetings	1.8	1.07703	[1, 2, 3, 3, 1, 1, 1, 4, 1, 1]
greets	0.6	0.66332	[0, 0, 2, 0, 1, 1, 0, 1, 1, 0]
grey	0.2	0.4	[0, 0, 1, 0, 0, 0, 1, 0, 0, 0]
grief	-2.2	0.6	[-2, -1, -3, -2, -3, -3, -2, -2, -2, -2]
grievance	-2.1	0.53852	[-2, -2, -3, -2, -2, -3, -2, -1, -2, -2]
grievances	-1.5	0.5	[-2, -2, -1, -1, -2, -1, -1, -2, -2, -1]
grievant	-0.8	1.249	[-2, 1, -1, -2, -1, 2, -2, -1, -1, -1]
grievants	-1.1	0.83066	[-1, -1, -1, -1, -1, -1, 0, -2, 0, -3]
grieve	-1.6	1.49666	[-2, -3, -1, -3, 1, -3, -1, -2, 1, -3]
grieved	-2.0	0.89443	[-3, -3, -3, -2, -2, -3, -1, -1, -1, -1]
griever	-1.9	0.83066	[-2, -2, -3, -2, -3, -3, -1, -1, -1, -1]
grievers	-0.3	1.55242	[-1, 2, -2, -1, 1, -2, 2, -2, 1, -1]
grieves	-2.1	0.9434	[-3, -3, -3, -2, -3, -3, -1, -1, -1, -1]
grieving	-2.3	1.1	[-2, -4, -2, -3, -3, 0, -3, -2, -1, -3]
grievous	-2.0	1.84391	[-3, -4, -2, -3, -1, 3, -2, -3, -2, -3]
grievously	-1.7	1.55242	[-3, -1, -4, -2, -2, 1, -3, 1, -2, -2]
grievousness	-2.7	0.78102	[-3, -3, -3, -2, -3, -4, -2, -1, -3, -3]
grim	-2.7	0.64031	[-2, -4, -3, -3, -2, -2, -3, -3, -2, -3]
grimace	-1.0	2.14476	[-4, -3, -2, -2, 2, -1, -1, -3, 2, 2]
grimaced	-2.0	0.63246	[-2, -3, -2, -2, -2, -2, -1, -3, -1, -2]
grimaces	-1.8	0.74833	[-1, -2, -1, -2, -2, -1, -3, -3, -1, -2]
grimacing	-1.4	1.56205	[-3, -2, -3, -3, -1, -1, 1, 0, 1, -3]
grimalkin	-0.9	1.04403	[-1, -2, -1, 1, -2, -2, -1, -1, 1, -1]
grimalkins	-0.9	0.9434	[0, 0, 0, -2, -1, -1, -1, 0, -3, -1]
grime	-1.5	0.92195	[-1, -2, -1, -1, -1, -3, 0, -2, -1, -3]
grimed	-1.2	0.74833	[-2, -2, 0, -2, -1, -1, -1, -2, -1, 0]
grimes	-1.0	0.7746	[-2, -2, 0, 0, -1, -1, -1, -2, -1, 0]
grimier	-1.6	1.0198	[-1, -2, -2, -2, -1, 0, -4, -1, -1, -2]
grimiest	-0.7	2.05183	[-2, -3, 1, -3, 2, -2, -2, -2, 2, 2]
grimily	-0.7	1.61555	[-2, -1, -1, -2, -2, 2, -2, 2, 1, -2]
griminess	-1.6	0.4899	[-1, -2, -2, -2, -1, -2, -2, -1, -1, -2]
griming	-0.7	1.55242	[-3, -1, -1, -2, 0, 2, -1, -2, -1, 2]
grimly	-1.3	1.55242	[-2, -1, 2, -2, -2, -1, -3, -3, 1, -2]
grimmer	-1.5	1.36015	[1, -2, -3, 1, -2, -1, -2, -2, -3, -2]
grimmest	-0.8	1.72047	[-2, -1, -3, 0, -2, -1, 0, 2, 2, -3]
grimness	-0.8	1.98997	[2, -2, -3, -2, -3, 2, -1, 1, 1, -3]
grimy	-1.8	0.87178	[-2, -2, -2, -1, -1, -3, 0, -2, -2, -3]
grin	2.1	0.83066	[2, 4, 2, 2, 2, 1, 2, 3, 1, 2]
grinned	1.1	0.9434	[1, 1, 2, 1, 3, 1, -1, 1, 1, 1]
grinner	1.1	0.83066	[1, 1, 2, 2, 2, 1, -1, 1, 1, 1]
grinners	1.6	0.8	[2, 2, 2, 3, 1, 0, 2, 2, 1, 1]
grinning	1.5	1.0247	[3, 2, 2, 1, 1, -1, 1, 2, 2, 2]
grins	0.9	1.92094	[1, 4, -3, 1, 2, 1, 2, -2, 2, 1]
gross	-2.1	1.51327	[-1, -3, -2, -3, -3, -3, -3, 2, -2, -3]
grossed	-0.4	1.11355	[-1, -2, -1, -2, 0, 0, 1, 1, 1, -1]
grosser	-0.3	1.41774	[1, -2, -1, -2, 0, -1, 1, 2, 1, -2]
grosses	-0.8	1.77764	[-2, -2, 3, -2, -3, -1, 1, -1, 1, -2]
grossest	-2.1	0.83066	[-2, -1, -2, -3, -3, -1, -3, -3, -1, -2]
grossing	-0.3	1.79165	[-1, -3, -1, 1, 0, -1, -3, 1, 1, 3]
grossly	-0.9	1.44568	[1, -2, 0, -3, -1, -2, 1, 1, -2, -2]
grossness	-1.8	0.6	[-2, -2, -1, -1, -1, -3, -2, -2, -2, -2]
grossular	-0.3	1.34536	[0, -2, 0, -1, -2, -1, 0, 0, 0, 3]
grossularite	-0.1	1.13578	[2, 0, 0, 0, 0, -3, 0, 0, 0, 0]
grossularites	-0.7	1.26886	[0, -4, -1, -2, 0, 0, 0, 0, 0, 0]
grossulars	-0.3	0.45826	[0, 0, 0, 0, -1, -1, 0, 0, 0, -1]
grouch	-2.2	0.87178	[-2, -3, -3, -3, -2, -1, -3, -1, -1, -3]
grouched	-0.8	0.9798	[-2, -1, -2, -2, 1, -1, 0, 0, 0, -1]
grouches	-0.9	1.13578	[-2, -1, -2, -1, -1, -1, -1, 2, 0, -2]
grouchier	-2.0	0.63246	[-2, -3, -3, -2, -2, -2, -2, -1, -2, -1]
grouchiest	-2.3	0.78102	[-3, -3, -2, -2, -1, -3, -1, -3, -3, -2]
grouchily	-1.4	1.56205	[-2, -1, -2, -3, -3, 2, -2, -2, 1, -2]
grouchiness	-2.0	0.7746	[-2, -2, -3, -2, -3, -2, -2, 0, -2, -2]
grouching	-1.7	1.1	[-1, -3, -2, 1, -2, -3, -2, -1, -2, -2]
grouchy	-1.9	0.7	[-1, -3, -2, -2, -1, -3, -1, -2, -2, -2]
growing	0.7	0.64031	[0, 1, 1, 2, 1, 0, 0, 1, 1, 0]
growth	1.6	1.0198	[2, 0, 3, 0, 2, 3, 1, 1, 2, 2]
guarantee	1.0	1.0	[2, 3, 1, 0, 2, 0, 1, 0, 0, 1]
guilt	-1.1	1.22066	[-1, -3, 2, -1, -1, -2, -1, -2, -1, -1]
guiltier	-2.0	0.63246	[-2, -1, -3, -1, -3, -2, -2, -2, -2, -2]
guiltiest	-1.7	1.79165	[-3, -2, -2, -4, -1, -2, 3, -1, -3, -2]
guiltily	-1.1	1.57797	[-3, -1, -1, -2, 0, -2, 3, -2, -1, -2]
guiltiness	-1.8	0.6	[-2, -2, -1, -2, -1, -1, -2, -2, -3, -2]
guiltless	0.8	1.53623	[3, 2, 1, 2, -2, 1, 1, -2, 1, 1]
guiltlessly	0.7	1.18743	[-1, 1, -2, 2, 1, 1, 1, 1, 2, 1]
guiltlessness	0.6	1.42829	[1, 1, -1, -1, -1, 1, 2, 3, -1, 2]
guilts	-1.4	0.66332	[-1, -2, -1, -1, -3, -1, -1, -2, -1, -1]
guilty	-1.8	0.6	[-1, -2, -2, -3, -2, -2, -1, -2, -2, -1]
gullibility	-1.6	0.66332	[-1, -1, -2, -2, -1, -2, -1, -2, -1, -3]
gullible	-1.5	0.67082	[-1, -2, -2, -1, -1, -3, -2, -1, -1, -1]
gun	-1.4	1.49666	[0, -4, 0, -3, 0, -3, -2, 0, -2, 0]
h8	-2.7	1.00499	[-4, -3, -4, -1, -1, -3, -3, -3, -2, -3]
ha	1.4	0.8	[1, 0, 1, 1, 3, 2, 2, 1, 2, 1]
hacked	-1.7	1.00499	[-2, -1, -2, -4, 0, -2, -2, -1, -1, -2]
haha	2.0	0.89443	[1, 1, 2, 3, 2, 1, 4, 2, 2, 2]
hahaha	2.6	1.0198	[2, 4, 2, 4, 1, 2, 3, 4, 2, 2]
hahas	1.8	0.9798	[1, 2, 2, 4, 3, 2, 1, 1, 1, 1]
hail	0.3	0.9	[0, 0, 0, 2, 0, 0, 2, 0, -1, 0]
hailed	0.9	0.83066	[1, 2, 1, 1, 0, 0, 0, 2, 2, 0]
hallelujah	3.0	0.7746	[3, 4, 3, 1, 3, 3, 3, 3, 3, 4]
handsome	2.2	0.74833	[2, 2, 2, 2, 2, 3, 4, 1, 2, 2]
handsomely	1.9	0.7	[1, 3, 1, 1, 2, 2, 2, 2, 2, 3]
handsomeness	2.4	1.28062	[2, 4, 1, 4, 0, 2, 4, 3, 2, 2]
handsomer	2.0	0.63246	[2, 3, 2, 2, 2, 2, 1, 3, 1, 2]
handsomest	2.6	0.91652	[3, 2, 1, 2, 3, 4, 4, 3, 2, 2]
hapless	-1.4	1.11355	[-3, -1, -1, -1, -2, -1, 1, -2, -3, -1]
haplessness	-1.4	1.0198	[-1, -2, 0, -1, -1, -1, -1, -2, -1, -4]
happier	2.4	0.66332	[3, 1, 2, 3, 2, 2, 3, 3, 3, 2]
happiest	3.2	0.74833	[4, 3, 2, 4, 4, 3, 3, 3, 2, 4]
happily	2.6	0.91652	[4, 1, 2, 4, 2, 3, 2, 2, 3, 3]
happiness	2.6	0.4899	[2, 3, 3, 3, 3, 2, 2, 3, 2, 3]
happing	1.1	0.83066	[1, 1, 1, 0, 2, 2, 0, 2, 0, 2]
happy	2.7	0.9	[2, 2, 2, 4, 2, 4, 3, 4, 2, 2]
harass	-2.2	0.6	[-2, -3, -2, -2, -2, -3, -2, -3, -1, -2]
harassed	-2.5	0.80623	[-4, -2, -3, -3, -2, -2, -3, -2, -3, -1]
harasser	-2.4	0.8	[-3, -2, -2, -3, -2, -2, -4, -2, -3, -1]
harassers	-2.8	0.6	[-3, -3, -2, -2, -3, -3, -3, -4, -2, -3]
harasses	-2.5	0.80623	[-3, -3, -2, -3, -2, -2, -4, -2, -3, -1]
harassing	-2.5	1.62788	[-2, -4, -3, -4, -3, -3, 2, -2, -3, -3]
harassment	-2.5	0.67082	[-2, -3, -2, -2, -3, -2, -4, -3, -2, -2]
harassments	-2.6	0.4899	[-3, -3, -2, -3, -2, -3, -3, -2, -2, -3]
hard	-0.4	1.2	[0, -1, 0, -1, 0, 1, -2, -1, -2, 2]
hardier	-0.6	1.68523	[-3, -2, -2, 1, 1, 2, 1, 0, -2, -2]
hardship	-1.3	1.84662	[-2, 2, -4, -1, -2, -3, -1, -2, 2, -2]
hardy	1.7	1.00499	[1, 2, 1, 0, 2, 2, 4, 1, 2, 2]
harm	-2.5	0.80623	[-2, -2, -2, -3, -2, -1, -3, -3, -3, -4]
harmed	-2.1	0.83066	[-1, -4, -2, -2, -2, -2, -1, -2, -3, -2]
harmfully	-2.6	0.91652	[-3, -4, -3, -1, -3, -3, -3, -3, -1, -2]
harmfulness	-2.6	0.8	[-3, -1, -3, -3, -3, -2, -4, -2, -2, -3]
harming	-2.6	0.66332	[-3, -3, -2, -2, -3, -3, -2, -2, -2, -4]
harmless	1.0	0.7746	[2, 1, 1, 1, 1, 0, 0, 2, 0, 2]
harmlessly	1.4	1.2	[4, 0, 1, 0, 1, 1, 1, 2, 3, 1]
harmlessness	0.8	1.16619	[1, 2, 0, 1, 0, 1, 2, 1, 2, -2]
harmonic	1.8	0.87178	[2, 1, 2, 3, 0, 1, 3, 2, 2, 2]
harmonica	0.6	0.8	[0, 1, 0, 0, 0, 2, 1, 0, 2, 0]
harmonically	2.1	1.13578	[3, 3, 4, 1, 0, 1, 2, 2, 2, 3]
harmonicas	0.1	0.3	[0, 0, 0, 0, 0, 0, 1, 0, 0, 0]
harmonicist	0.5	0.92195	[0, 0, 0, 0, 1, 0, 0, 0, 1, 3]
harmonicists	0.9	1.3	[2, 1, 0, 0, 2, 0, 0, 0, 4, 0]
harmonics	1.5	1.0247	[2, 2, 2, 0, 0, 2, 3, 2, 0, 2]
harmonies	1.3	0.9	[2, 0, 2, 1, 2, 2, 0, 2, 0, 2]
harmonious	2.0	1.09545	[3, 4, 2, 2, 2, 0, 2, 3, 1, 1]
harmoniously	1.9	0.9434	[4, 2, 2, 1, 2, 1, 1, 3, 2, 1]
harmoniousness	1.8	0.6	[1, 2, 2, 2, 2, 1, 2, 3, 2, 1]
harmonise	1.8	0.74833	[1, 1, 2, 3, 2, 1, 1, 3, 2, 2]
harmonised	1.3	0.9	[2, 3, 2, 0, 2, 1, 1, 1, 1, 0]
harmonising	1.4	0.66332	[1, 2, 1, 1, 2, 1, 1, 1, 1, 3]
harmonium	0.9	1.22066	[0, 3, 0, 2, 3, 0, 0, 0, 0, 1]
harmoniums	0.8	0.9798	[0, 0, 0, 2, 0, 2, 0, 2, 2, 0]
harmonization	1.9	0.83066	[3, 1, 2, 2, 2, 2, 3, 0, 2, 2]
harmonizations	0.9	0.9434	[0, 0, 2, 0, 2, 2, 0, 2, 1, 0]
harmonize	1.7	0.78102	[3, 2, 2, 1, 2, 2, 0, 1, 2, 2]
harmonized	1.6	0.91652	[1, 2, 1, 1, 2, 2, 3, 3, 0, 1]
harmonizer	1.6	0.8	[1, 2, 1, 1, 2, 2, 2, 3, 0, 2]
harmonizers	1.6	1.11355	[2, 2, 2, 1, 2, 0, 4, 0, 2, 1]
harmonizes	1.5	0.92195	[0, 2, 2, 2, 0, 1, 1, 2, 3, 2]
harmonizing	1.4	0.66332	[0, 1, 1, 2, 2, 1, 2, 2, 1, 2]
harmony	1.7	0.45826	[2, 2, 2, 2, 1, 2, 2, 2, 1, 1]
harms	-2.2	1.6	[2, -3, -2, -2, -3, -2, -4, -4, -2, -2]
harried	-1.4	0.4899	[-1, -1, -2, -1, -2, -2, -1, -1, -1, -2]
harsh	-1.9	0.7	[-1, -1, -2, -2, -1, -3, -3, -2, -2, -2]
harsher	-2.2	0.6	[-2, -3, -2, -3, -2, -2, -1, -3, -2, -2]
harshest	-2.9	0.83066	[-4, -2, -2, -2, -2, -3, -3, -4, -4, -3]
hate	-2.7	1.00499	[-4, -3, -4, -4, -2, -2, -2, -2, -1, -3]
hated	-3.2	0.6	[-3, -3, -4, -3, -2, -3, -3, -4, -4, -3]
hateful	-2.2	1.249	[-3, 1, -3, -3, -1, -2, -2, -3, -3, -3]
hatefully	-2.3	0.78102	[-1, -3, -3, -3, -1, -2, -2, -2, -3, -3]
hatefulness	-3.6	0.4899	[-4, -4, -3, -3, -3, -4, -4, -4, -4, -3]
hater	-1.8	0.6	[-2, -1, -2, -2, -2, -1, -1, -2, -2, -3]
haters	-2.2	0.6	[-2, -1, -3, -2, -3, -2, -3, -2, -2, -2]
hates	-1.9	0.7	[-2, -1, -2, -2, -3, -1, -1, -2, -2, -3]
hating	-2.3	1.1	[-4, -3, -4, -1, -2, -2, -1, -2, -1, -3]
hatred	-3.2	0.9798	[-1, -3, -2, -4, -3, -3, -4, -4, -4, -4]
haunt	-1.7	1.00499	[-1, -1, -3, -1, -2, -2, -1, -4, -1, -1]
haunted	-2.1	0.7	[-2, -2, -1, -3, -3, -2, -2, -3, -1, -2]
haunting	-1.1	0.83066	[-3, 0, -2, -1, 0, -1, -1, -1, -1, -1]
haunts	-1.0	1.41421	[0, -2, -2, -2, -2, -1, 2, -2, 1, -2]
havoc	-2.9	0.7	[-2, -4, -4, -3, -2, -3, -3, -3, -2, -3]
healthy	1.7	0.9	[1, 3, 1, 1, 3, 3, 1, 2, 1, 1]
heartbreak	-2.7	0.78102	[-1, -3, -3, -3, -2, -4, -2, -3, -3, -3]
heartbreaker	-2.2	1.07703	[-2, -3, 0, -3, -2, -1, -4, -3, -2, -2]
heartbreakers	-2.1	0.9434	[-3, -2, -3, -2, -1, -1, -4, -1, -2, -2]
heartbreaking	-2.0	1.73205	[-3, -1, -3, -3, -4, 2, -3, -2, 0, -3]
heartbreakingly	-1.8	2.08806	[-3, 3, 1, -3, -3, -2, -3, -3, -4, -1]
heartbreaks	-1.8	1.77764	[-2, 1, -3, -2, -3, -2, -3, 2, -4, -2]
heartbroken	-3.3	0.45826	[-4, -3, -3, -4, -3, -3, -4, -3, -3, -3]
heartfelt	2.5	0.5	[3, 3, 2, 3, 2, 2, 3, 2, 2, 3]
heartless	-2.2	0.74833	[-2, -2, -2, -4, -2, -1, -2, -3, -2, -2]
heartlessly	-2.8	0.6	[-3, -2, -3, -3, -2, -3, -4, -2, -3, -3]
heartlessness	-2.8	0.87178	[-3, -3, -2, -3, -4, -4, -1, -3, -2, -3]
heartwarming	2.1	1.22066	[3, 2, 3, 3, 2, 2, 3, 3, -1, 1]
heaven	2.3	1.18743	[1, 1, 2, 4, 3, 3, 3, 4, 1, 1]
heavenlier	3.0	0.63246	[3, 2, 3, 3, 4, 3, 3, 4, 2, 3]
heavenliest	2.7	1.1	[3, 2, 3, 4, 2, 4, 3, 0, 3, 3]
heavenliness	2.7	0.9	[3, 2, 1, 4, 3, 2, 3, 4, 3, 2]
heavenlinesses	2.3	2.2383	[4, 4, 4, 3, -2, 3, 3, 4, -2, 2]
heavenly	3.0	0.63246	[3, 3, 3, 3, 2, 3, 3, 4, 2, 4]
heavens	1.7	1.18743	[4, 0, 1, 2, 0, 3, 2, 2, 2, 1]
heavenward	1.4	1.35647	[0, 3, 0, 4, 1, 2, 2, 0, 2, 0]
heavenwards	1.2	1.32665	[1, 4, 0, 0, 2, 1, 1, 0, 3, 0]
heavyhearted	-2.1	0.83066	[-2, -3, -3, -2, -3, -1, -1, -1, -2, -3]
heh	-0.6	1.28062	[0, 1, -1, 1, -1, -2, -1, -3, 1, -1]
hell	-3.6	0.66332	[-4, -4, -4, -4, -4, -2, -3, -4, -3, -4]
hellish	-3.2	0.74833	[-3, -3, -2, -2, -4, -3, -4, -4, -3, -4]
help	1.7	0.78102	[3, 2, 1, 2, 1, 2, 3, 1, 1, 1]
helper	1.4	0.8	[1, 1, 0, 1, 1, 2, 1, 2, 3, 2]
helpers	1.1	0.83066	[1, 1, 0, 2, 1, 1, 1, 1, 3, 0]
helpful	1.8	0.87178	[2, 1, 3, 1, 1, 3, 1, 2, 3, 1]
helpfully	2.3	0.9	[1, 2, 2, 3, 2, 3, 3, 2, 4, 1]
helpfulness	1.9	1.13578	[1, 4, 1, 2, 2, 1, 1, 2, 4, 1]
helping	1.2	0.6	[2, 1, 1, 2, 0, 1, 1, 1, 2, 1]
helpless	-2.0	0.63246	[-2, -3, -2, -2, -2, -3, -1, -2, -1, -2]
helplessly	-1.4	0.4899	[-1, -1, -2, -2, -1, -1, -1, -2, -2, -1]
helplessness	-2.1	0.9434	[-2, -4, -1, -2, -1, -3, -3, -2, -1, -2]
helplessnesses	-1.7	0.64031	[-2, -1, -2, -1, -2, -1, -3, -2, -1, -2]
helps	1.6	0.4899	[1, 1, 1, 2, 2, 2, 1, 2, 2, 2]
hero	2.6	0.8	[2, 3, 2, 2, 4, 4, 2, 3, 2, 2]
heroes	2.3	0.9	[3, 4, 3, 1, 3, 2, 1, 2, 2, 2]
heroic	2.6	0.8	[3, 3, 1, 4, 2, 3, 2, 3, 2, 3]
heroical	2.9	1.04403	[4, 4, 2, 4, 2, 3, 1, 4, 2, 3]
heroically	2.4	0.8	[2, 2, 2, 3, 3, 3, 4, 1, 2, 2]
heroicomic	1.0	1.0	[1, 0, 1, 0, 2, 0, 3, 1, 2, 0]
heroicomical	1.1	0.83066	[2, 0, 0, 2, 1, 2, 1, 2, 1, 0]
heroics	2.4	0.8	[2, 1, 2, 2, 2, 3, 3, 3, 4, 2]
heroin	-2.2	1.83303	[0, -2, -4, 2, -4, -2, -2, -3, -3, -4]
heroine	2.7	1.1	[0, 2, 4, 4, 3, 3, 3, 3, 2, 3]
heroines	1.8	1.32665	[2, 1, 1, 4, 3, 1, 0, 3, 3, 0]
heroinism	-2.0	2.0	[-3, -4, 2, -2, -4, -3, -2, -1, 1, -4]
heroism	2.8	0.6	[3, 3, 4, 3, 2, 2, 3, 3, 2, 3]
heroisms	2.2	0.87178	[3, 1, 2, 4, 3, 2, 2, 2, 1, 2]
heroize	2.1	0.7	[3, 2, 3, 1, 2, 2, 2, 3, 1, 2]
heroized	2.0	1.18322	[1, 0, 3, 3, 2, 0, 3, 3, 2, 3]
heroizes	2.2	0.9798	[1, 3, 2, 3, 4, 3, 2, 1, 2, 1]
heroizing	1.9	1.64012	[2, 3, -2, 2, 4, 3, 2, 2, 3, 0]
heron	0.1	0.3	[0, 0, 0, 0, 0, 1, 0, 0, 0, 0]
heronries	0.7	1.1	[2, 0, 0, 0, 2, 0, 3, 0, 0, 0]
heronry	0.1	0.9434	[0, 0, 0, 0, 0, 2, 0, 1, -2, 0]
herons	0.5	1.0247	[0, 0, 0, 3, 0, 2, 0, 0, 0, 0]
heros	1.3	1.18743	[3, 0, 0, 2, 0, 2, 2, 3, 1, 0]
hesitance	-0.9	0.3	[-1, -1, 0, -1, -1, -1, -1, -1, -1, -1]
hesitancies	-1.0	0.63246	[-1, -1, -1, -2, -1, -1, -2, 0, 0, -1]
hesitancy	-0.9	0.53852	[0, -1, 0, -2, -1, -1, -1, -1, -1, -1]
hesitant	-1.0	0.7746	[0, -1, 0, -1, -2, 0, -1, -2, -1, -2]
hesitantly	-1.2	0.4	[-1, -1, -2, -1, -1, -1, -1, -2, -1, -1]
hesitate	-1.1	0.53852	[-2, -1, -1, -1, -2, -1, -1, 0, -1, -1]
hesitated	-1.3	0.9	[-1, -2, -1, -2, -2, -2, -1, 1, -1, -2]
hesitater	-1.4	0.66332	[-1, -1, -1, -1, -1, -2, -1, -3, -2, -1]
hesitaters	-1.4	0.4899	[-1, -2, -1, -1, -1, -1, -2, -2, -2, -1]
hesitates	-1.4	0.4899	[-1, -1, -1, -2, -1, -2, -1, -2, -2, -1]
hesitating	-1.4	0.66332	[-1, -1, -2, -1, -1, -3, -2, -1, -1, -1]
hesitatingly	-1.5	0.80623	[-1, -1, -1, -1, -3, -2, -3, -1, -1, -1]
hesitation	-1.1	0.53852	[-2, 0, -1, -1, -1, -1, -1, -2, -1, -1]
hesitations	-1.1	0.53852	[-1, -1, -1, 0, -2, -1, -1, -2, -1, -1]
hid	-0.4	0.4899	[0, -1, 0, 0, -1, -1, -1, 0, 0, 0]
hide	-0.7	0.64031	[0, -1, -1, -1, -1, 0, 0, -2, -1, 0]
hides	-0.7	0.9	[-1, -2, -1, 0, -1, 0, 0, -2, 1, -1]
hiding	-1.2	0.4	[-1, -1, -2, -1, -1, -1, -1, -1, -2, -1]
highlight	1.4	0.91652	[3, 0, 1, 1, 2, 1, 0, 2, 2, 2]
hilarious	1.7	1.41774	[2, 2, 2, 3, 3, 1, -2, 2, 3, 1]
hindrance	-1.7	0.78102	[-2, -3, -2, -1, -1, -1, -3, -1, -2, -1]
hoax	-1.1	1.04403	[-3, -1, -2, -1, 1, -2, -1, -1, -1, 0]
holiday	1.7	1.18743	[1, 3, 2, 2, 0, 0, 1, 2, 4, 2]
holidays	1.6	1.0198	[2, 0, 1, 2, 3, 0, 1, 2, 3, 2]
homesick	-0.7	1.67631	[-2, -1, -1, -2, -1, -2, 2, -1, 3, -2]
homesickness	-1.8	1.249	[-3, -2, -1, -1, -3, -2, -1, 1, -3, -3]
homesicknesses	-1.8	0.6	[-1, -2, -2, -2, -1, -2, -1, -2, -3, -2]
honest	2.3	0.9	[3, 2, 1, 2, 3, 1, 2, 3, 2, 4]
honester	1.9	0.7	[2, 3, 2, 2, 1, 3, 1, 1, 2, 2]
honestest	3.0	0.7746	[1, 3, 3, 3, 3, 3, 4, 4, 3, 3]
honesties	1.8	1.07703	[4, 3, 1, 1, 1, 1, 3, 2, 1, 1]
honestly	2.0	0.63246	[2, 3, 2, 2, 1, 2, 2, 1, 3, 2]
honesty	2.2	0.6	[2, 3, 2, 2, 1, 2, 3, 2, 3, 2]
honor	2.2	1.16619	[3, 2, 1, 2, 0, 4, 3, 1, 3, 3]
honorability	2.2	0.4	[3, 3, 2, 2, 2, 2, 2, 2, 2, 2]
honorable	2.5	0.67082	[2, 2, 3, 2, 4, 3, 2, 2, 2, 3]
honorableness	2.2	0.87178	[2, 4, 1, 3, 3, 2, 1, 2, 2, 2]
honorably	2.4	0.66332	[2, 2, 3, 2, 3, 3, 3, 1, 2, 3]
honoraria	0.6	0.8	[1, 0, 1, 0, 0, 0, 2, 0, 2, 0]
honoraries	1.5	1.5	[2, 2, 1, 3, 3, 1, -2, 2, 3, 0]
honorarily	1.9	0.7	[2, 2, 3, 1, 2, 1, 2, 1, 3, 2]
honorarium	0.7	1.48661	[3, 2, -1, 2, 1, -2, 1, 1, -1, 1]
honorariums	1.0	1.0	[0, 0, 0, 0, 1, 2, 1, 3, 2, 1]
honorary	1.4	0.91652	[2, 2, 2, 3, 1, 1, 0, 1, 2, 0]
honored	2.8	0.87178	[3, 4, 4, 3, 1, 2, 2, 3, 3, 3]
honoree	2.1	0.7	[3, 2, 3, 3, 1, 2, 1, 2, 2, 2]
honorees	2.3	0.78102	[1, 3, 3, 4, 2, 2, 2, 2, 2, 2]
honorer	1.7	0.78102	[2, 1, 3, 3, 1, 2, 1, 2, 1, 1]
honorers	1.3	0.45826	[1, 1, 2, 2, 1, 1, 2, 1, 1, 1]
honorific	1.4	1.2	[2, 2, 2, 2, 2, 1, 2, 1, 2, -2]
honorifically	2.2	0.74833	[3, 4, 1, 2, 2, 2, 2, 2, 2, 2]
honorifics	1.7	0.78102	[1, 2, 0, 1, 2, 2, 2, 3, 2, 2]
honoring	2.3	0.64031	[3, 3, 1, 2, 2, 3, 3, 2, 2, 2]
honors	2.3	0.64031	[3, 2, 2, 2, 1, 3, 3, 2, 3, 2]
honour	2.7	0.78102	[2, 3, 2, 2, 2, 3, 4, 4, 3, 2]
honourable	2.1	0.53852	[2, 3, 2, 2, 2, 1, 3, 2, 2, 2]
honoured	2.2	1.249	[3, 3, 4, 3, -1, 2, 2, 2, 2, 2]
honourer	1.8	0.87178	[2, 3, 2, 1, 2, 3, 1, 0, 2, 2]
honourers	1.6	1.0198	[0, 2, 2, 1, 2, 2, 1, 3, 0, 3]
honouring	2.1	0.3	[2, 2, 2, 3, 2, 2, 2, 2, 2, 2]
honours	2.2	0.87178	[4, 3, 2, 2, 3, 2, 2, 1, 2, 1]
hooligan	-1.5	0.5	[-1, -2, -1, -2, -2, -2, -1, -1, -2, -1]
hooliganism	-2.1	0.83066	[-3, -2, -3, -3, -2, -2, -2, -2, 0, -2]
hooligans	-1.1	1.22066	[-2, -1, -1, 2, -1, -1, -1, -3, -2, -1]
hooray	2.3	0.9	[3, 2, 3, 2, 1, 3, 1, 2, 2, 4]
hope	1.9	0.53852	[3, 2, 2, 1, 2, 2, 1, 2, 2, 2]
hoped	1.6	0.4899	[1, 2, 1, 1, 2, 2, 1, 2, 2, 2]
hopeful	2.3	0.78102	[2, 1, 1, 3, 3, 3, 2, 3, 2, 3]
hopefully	1.7	0.78102	[1, 3, 1, 3, 1, 2, 1, 1, 2, 2]
hopefulness	1.6	1.35647	[2, 1, -2, 2, 3, 2, 1, 3, 2, 2]
hopeless	-2.0	1.78885	[-3, -3, -3, -3, 3, -1, -3, -3, -2, -2]
hopelessly	-2.2	0.74833	[-3, -4, -2, -2, -1, -2, -2, -2, -2, -2]
hopelessness	-3.1	0.7	[-3, -4, -4, -3, -3, -3, -4, -3, -2, -2]
hopes	1.8	0.6	[1, 3, 1, 2, 2, 2, 1, 2, 2, 2]
hoping	1.8	0.4	[2, 2, 2, 1, 2, 2, 2, 2, 2, 1]
horrendous	-2.8	0.87178	[-3, -3, -4, -4, -3, -3, -2, -2, -1, -3]
horrendously	-1.9	1.92094	[-3, -2, -4, -4, 2, -1, -3, -2, 1, -3]
horrent	-0.9	1.04403	[0, -1, -2, 0, 0, -3, -1, 0, -2, 0]
horrible	-2.5	0.67082	[-2, -2, -3, -2, -2, -4, -3, -3, -2, -2]
horribleness	-2.4	0.4899	[-3, -3, -2, -2, -3, -2, -2, -3, -2, -2]
horribles	-2.1	0.7	[-2, -4, -2, -2, -1, -2, -2, -2, -2, -2]
horribly	-2.4	0.66332	[-2, -2, -2, -2, -2, -4, -3, -3, -2, -2]
horrid	-2.5	1.0247	[-2, -3, -3, -4, -4, -1, -2, -2, -3, -1]
horridly	-1.4	1.49666	[-2, 0, -3, -2, 0, -3, 2, -2, -2, -2]
horridness	-2.3	1.26886	[-3, -3, -2, 1, -3, -3, -3, -3, -1, -3]
horridnesses	-3.0	1.09545	[-2, -3, -4, -4, -4, -4, -2, -2, -1, -4]
horrific	-3.4	0.91652	[-2, -4, -4, -4, -2, -4, -2, -4, -4, -4]
horrifically	-2.9	0.7	[-2, -3, -2, -4, -2, -4, -3, -3, -3, -3]
horrified	-2.5	0.92195	[-2, -3, -2, -2, -1, -4, -2, -2, -3, -4]
horrifies	-2.9	1.22066	[-1, -3, -2, -1, -4, -4, -4, -4, -2, -4]
horrify	-2.5	0.67082	[-2, -2, -3, -2, -2, -2, -4, -2, -3, -3]
horrifying	-2.7	0.9	[-3, -4, -3, -2, -3, -3, -4, -2, -2, -1]
horrifyingly	-3.3	0.9	[-3, -3, -4, -4, -1, -4, -3, -3, -4, -4]
horror	-2.7	1.1	[-3, -1, -4, -4, -4, -3, -1, -2, -3, -2]
horrors	-2.7	0.64031	[-3, -3, -4, -3, -2, -2, -2, -3, -2, -3]
hostile	-1.6	1.74356	[-4, -3, -3, -1, 1, -2, 2, -2, -2, -2]
hostilely	-2.2	0.6	[-1, -3, -3, -2, -2, -2, -2, -2, -2, -3]
hostiles	-1.3	1.9	[-3, -3, -3, -3, -1, 2, -3, -1, 1, 1]
hostilities	-2.1	0.53852	[-2, -3, -2, -2, -2, -2, -1, -2, -3, -2]
hostility	-2.5	0.80623	[-2, -2, -3, -3, -3, -2, -4, -2, -3, -1]
huckster	-0.9	0.7	[-1, 0, -1, 0, -1, -2, -2, 0, -1, -1]
hug	2.1	1.04403	[1, 3, 2, 1, 1, 2, 3, 3, 1, 4]
huge	1.3	0.9	[0, 2, 2, 0, 0, 2, 2, 2, 1, 2]
huggable	1.6	0.66332	[2, 2, 1, 1, 1, 3, 1, 2, 2, 1]
hugged	1.7	0.78102	[2, 2, 2, 2, 3, 1, 1, 2, 0, 2]
hugger	1.6	0.91652	[3, 2, 2, 2, 3, 1, 1, 1, 0, 1]
huggers	1.8	0.6	[1, 3, 1, 2, 1, 2, 2, 2, 2, 2]
hugging	1.8	0.74833	[2, 1, 1, 3, 3, 2, 2, 1, 2, 1]
hugs	2.2	0.74833	[3, 2, 1, 2, 2, 2, 3, 1, 3, 3]
humerous	1.4	1.11355	[-1, 2, 2, 3, 1, 1, 2, 0, 2, 2]
humiliate	-2.5	1.28452	[-3, -3, -3, -3, -2, -2, -4, -3, 1, -3]
humiliated	-1.4	2.498	[3, -3, -4, -3, -3, -4, -3, 0, 1, 2]
humiliates	-1.0	2.09762	[1, -2, -3, -3, -3, -2, -3, 1, 2, 2]
humiliating	-1.2	1.8868	[-4, -1, -3, -1, 2, -1, 2, -3, -2, -1]
humiliatingly	-2.6	0.4899	[-3, -3, -2, -2, -3, -3, -3, -3, -2, -2]
humiliation	-2.7	0.78102	[-2, -3, -4, -2, -2, -2, -3, -2, -4, -3]
humiliations	-2.4	0.66332	[-3, -2, -2, -2, -2, -2, -2, -3, -2, -4]
humor	1.1	0.53852	[1, 0, 2, 2, 1, 1, 1, 1, 1, 1]
humoral	0.6	1.0198	[2, 0, 0, 0, 0, 0, 3, 1, 0, 0]
humored	1.2	0.87178	[1, 1, 2, 2, 1, 1, 2, 1, 2, -1]
humoresque	1.2	0.6	[1, 1, 1, 2, 1, 2, 2, 1, 1, 0]
humoresques	0.9	1.04403	[1, 0, 2, 0, 0, 1, 2, 0, 3, 0]
humoring	2.1	0.7	[3, 2, 2, 2, 1, 2, 2, 1, 3, 3]
humorist	1.2	0.74833	[1, 2, 1, 1, 2, 1, 2, 0, 0, 2]
humoristic	1.5	0.80623	[3, 0, 2, 1, 2, 1, 2, 2, 1, 1]
humorists	1.3	0.78102	[2, 1, 1, 1, 0, 1, 2, 3, 1, 1]
humorless	-1.3	0.45826	[-1, -2, -1, -1, -1, -1, -2, -1, -1, -2]
humorlessness	-1.4	1.11355	[1, -3, -3, -1, -1, -2, -1, -1, -2, -1]
humorous	1.6	0.4899	[1, 2, 1, 2, 2, 1, 2, 2, 1, 2]
humorously	2.3	0.78102	[3, 3, 2, 2, 1, 3, 3, 1, 2, 3]
humorousness	2.4	0.66332	[1, 2, 3, 2, 3, 2, 3, 3, 2, 3]
humors	1.6	0.4899	[2, 1, 2, 2, 2, 2, 1, 2, 1, 1]
humour	2.1	0.9434	[1, 2, 2, 4, 2, 1, 1, 3, 3, 2]
humoured	1.1	0.53852	[1, 0, 1, 2, 2, 1, 1, 1, 1, 1]
humouring	1.7	0.78102	[2, 3, 1, 2, 1, 0, 2, 2, 2, 2]
humourous	2.0	0.7746	[1, 2, 3, 2, 2, 3, 3, 2, 1, 1]
hunger	-1.0	1.67332	[-4, 0, 2, -2, -1, -2, 1, -2, 0, -2]
hurrah	2.6	0.8	[3, 2, 3, 3, 1, 3, 4, 2, 2, 3]
hurrahed	1.9	0.53852	[2, 2, 1, 1, 2, 2, 3, 2, 2, 2]
hurrahing	2.4	0.4899	[3, 2, 2, 2, 3, 2, 3, 3, 2, 2]
hurrahs	2.1	1.44568	[2, 3, 0, 3, 2, 3, -1, 2, 3, 4]
hurray	2.7	0.78102	[3, 2, 3, 3, 1, 3, 4, 2, 3, 3]
hurrayed	1.8	1.32665	[3, 3, 2, 3, 3, 3, 0, 0, 1, 0]
hurraying	1.2	1.66132	[2, -3, 2, 3, 0, 2, 2, 2, 0, 2]
hurrays	2.4	1.11355	[2, 3, 2, 4, 0, 3, 2, 2, 2, 4]
hurt	-2.4	0.8	[-3, -3, -2, -2, -4, -3, -2, -1, -2, -2]
hurter	-2.3	0.78102	[-2, -4, -1, -2, -3, -3, -2, -2, -2, -2]
hurters	-1.9	1.04403	[-2, -3, -1, -2, -1, 0, -3, -3, -3, -1]
hurtful	-2.4	1.0198	[-2, -4, -2, -2, -1, -3, -2, -3, -1, -4]
hurtfully	-2.6	0.66332	[-3, -2, -3, -2, -2, -3, -4, -3, -2, -2]
hurtfulness	-1.9	1.51327	[2, -2, -2, -2, -3, -1, -2, -3, -4, -2]
hurting	-1.7	0.78102	[-3, -1, -1, -2, -1, -1, -3, -2, -2, -1]
hurtle	-0.3	1.1	[-2, 1, 0, -1, -1, -1, 0, 2, 0, -1]
hurtled	-0.6	0.8	[0, -2, 0, 0, 0, 0, -1, -1, -2, 0]
hurtles	-1.0	0.63246	[-1, -2, 0, 0, -1, -1, -1, -1, -2, -1]
hurtless	0.3	1.55242	[-1, -3, 2, 1, 2, 1, 0, 0, -1, 2]
hurtling	-1.4	0.8	[-3, -2, -1, -1, -1, -1, -1, -2, 0, -2]
hurts	-2.1	0.83066	[-4, -2, -2, -2, -3, -1, -2, -2, -2, -1]
hypocritical	-2.0	0.89443	[-4, -2, -1, -3, -2, -1, -2, -1, -2, -2]
hysteria	-1.9	0.7	[-1, -3, -1, -2, -2, -2, -2, -2, -1, -3]
hysterical	-0.1	1.97231	[2, 0, 0, 3, -2, -2, 3, -1, -2, -2]
hysterics	-1.8	1.77764	[-3, -3, -3, -1, -3, -1, -2, 3, -3, -2]
ideal	2.4	1.2	[4, 3, 4, 4, 2, 2, 1, 2, 1, 1]
idealess	-1.9	1.3	[-4, -2, -3, -2, -1, 0, -4, -1, -1, -1]
idealise	1.4	0.91652	[2, 2, 1, 0, 1, 3, 2, 0, 1, 2]
idealised	2.1	0.83066	[1, 4, 1, 3, 2, 2, 2, 2, 2, 2]
idealises	2.0	0.89443	[1, 4, 1, 2, 2, 2, 2, 3, 1, 2]
idealising	0.6	0.4899	[0, 1, 1, 1, 1, 1, 1, 0, 0, 0]
idealism	1.7	1.1	[1, 2, 0, 3, 3, 2, 1, 2, 3, 0]
idealisms	0.8	0.9798	[0, 2, 3, 1, 0, 0, 1, 0, 0, 1]
idealist	1.6	1.56205	[2, 3, -2, 1, 3, 3, 1, 0, 2, 3]
idealistic	1.8	0.9798	[2, 1, 0, 2, 4, 2, 2, 2, 1, 2]
idealistically	1.7	1.1	[0, 3, 3, 1, 2, 3, 0, 2, 1, 2]
idealists	0.7	1.1	[0, -2, 1, 2, 1, 1, 2, 0, 1, 1]
idealities	1.5	0.67082	[2, 1, 1, 2, 1, 0, 2, 2, 2, 2]
ideality	1.9	0.9434	[0, 1, 2, 3, 2, 1, 2, 3, 3, 2]
idealization	1.8	0.9798	[2, 2, 2, 1, 4, 2, 2, 0, 1, 2]
idealizations	1.4	0.66332	[2, 1, 1, 2, 1, 2, 1, 0, 2, 2]
idealize	1.2	0.9798	[1, 2, 2, 0, 0, 1, 3, 0, 2, 1]
idealized	1.8	0.74833	[2, 3, 1, 1, 2, 1, 3, 1, 2, 2]
idealizer	1.3	0.9	[1, 1, 1, 1, 1, 3, 0, 1, 3, 1]
idealizers	1.9	1.37477	[1, 4, 1, 2, 0, 2, 3, 2, 4, 0]
idealizes	2.0	1.0	[3, 2, 2, 1, 4, 2, 2, 0, 2, 2]
idealizing	1.4	1.0198	[1, 1, 2, 3, 0, 1, 3, 0, 2, 1]
idealless	-1.7	1.00499	[-2, -2, -2, -2, -4, -1, 0, -1, -2, -1]
ideally	1.8	1.16619	[1, 0, 2, 2, 3, 2, 4, 0, 2, 2]
idealogues	0.5	0.92195	[1, 0, -1, 2, 0, 0, 2, 0, 1, 0]
idealogy	0.8	1.16619	[0, 3, 1, 0, 2, 0, 0, 1, 2, -1]
ideals	0.8	0.6	[0, 1, 0, 2, 1, 1, 1, 0, 1, 1]
idiot	-2.3	0.64031	[-2, -3, -1, -3, -2, -3, -3, -2, -2, -2]
idiotic	-2.6	0.91652	[-3, -4, -2, -3, -2, -2, -4, -1, -3, -2]
ignorable	-1.0	0.63246	[-1, -1, -1, -2, 0, -1, 0, -1, -2, -1]
ignorami	-1.9	0.83066	[-2, -2, -3, -2, 0, -1, -2, -2, -3, -2]
ignoramus	-1.9	0.83066	[-1, -2, -1, -3, -1, -3, -1, -3, -2, -2]
ignoramuses	-2.3	1.1	[-2, -2, -3, -4, 0, -1, -3, -2, -3, -3]
ignorance	-1.5	1.20416	[-2, -2, -3, -2, 0, -2, -1, -3, -1, 1]
ignorances	-1.2	0.9798	[0, -1, -2, -1, -2, -2, -1, 1, -2, -2]
ignorant	-1.1	0.83066	[-1, -1, -1, -2, 1, -2, -1, -2, -1, -1]
ignorantly	-1.6	0.91652	[-1, -2, -2, -2, -2, -2, -2, 1, -2, -2]
ignorantness	-1.1	1.44568	[3, -1, -2, -1, -1, -2, -2, -2, -1, -2]
ignore	-1.5	0.67082	[-1, -2, -1, -1, -1, -1, -2, -3, -2, -1]
ignored	-1.3	0.45826	[-2, -1, -2, -1, -1, -2, -1, -1, -1, -1]
ignorer	-1.3	0.45826	[-1, -1, -2, -1, -2, -1, -1, -1, -2, -1]
ignorers	-0.7	1.00499	[-1, -2, -1, -1, -1, 1, 0, -2, 1, -1]
ignores	-1.1	0.3	[-1, -1, -2, -1, -1, -1, -1, -1, -1, -1]
ignoring	-1.7	0.64031	[-1, -1, -1, -2, -2, -3, -2, -1, -2, -2]
ill	-1.8	0.9798	[-2, 0, -2, -1, -4, -2, -2, -2, -1, -2]
illegal	-2.6	0.8	[-3, -4, -3, -2, -1, -2, -3, -3, -2, -3]
illiteracy	-1.9	0.7	[-2, -1, -2, -2, -3, -2, -1, -2, -1, -3]
illness	-1.7	0.64031	[-2, -1, -2, -2, -3, -2, -1, -2, -1, -1]
illnesses	-2.2	0.74833	[-2, -2, -2, -4, -2, -3, -2, -1, -2, -2]
imbecile	-2.2	0.9798	[-3, -2, -3, -3, -3, -1, -3, 0, -2, -2]
immobilized	-1.2	0.87178	[-1, -3, 0, -1, -1, 0, -2, -1, -2, -1]
immoral	-2.0	1.09545	[-4, -1, -1, -3, -2, -3, -3, -1, -1, -1]
immoralism	-1.6	0.91652	[-2, -2, -2, -2, 1, -2, -2, -2, -1, -2]
immoralist	-2.1	0.3	[-2, -2, -3, -2, -2, -2, -2, -2, -2, -2]
immoralists	-1.7	0.78102	[-2, -2, -2, -3, -1, -1, -1, -1, -3, -1]
immoralities	-1.1	1.51327	[-2, -1, -4, -3, 1, 1, -1, 0, -1, -1]
immorality	-0.6	2.2891	[3, -3, 1, 2, 2, -2, -4, -1, -2, -2]
immorally	-2.1	0.7	[-1, -1, -2, -2, -3, -2, -3, -2, -2, -3]
immortal	1.0	1.73205	[3, 3, 2, 2, -2, -2, 2, 1, 1, 0]
immune	1.2	0.74833	[2, 2, 0, 1, 2, 1, 2, 1, 1, 0]
impatience	-1.8	0.4	[-2, -2, -1, -2, -2, -2, -2, -1, -2, -2]
impatiens	-0.2	0.6	[0, 0, -1, 0, 0, 0, 1, -1, -1, 0]
impatient	-1.2	0.4	[-1, -1, -1, -1, -1, -1, -2, -1, -1, -2]
impatiently	-1.7	0.64031	[-1, -1, -2, -3, -1, -2, -1, -2, -2, -2]
imperfect	-1.3	0.64031	[-1, -1, -1, -1, -1, -2, -3, -1, -1, -1]
impersonal	-1.3	0.45826	[-2, -2, -1, -1, -2, -1, -1, -1, -1, -1]
impolite	-1.6	0.66332	[-2, -1, -3, -1, -1, -1, -1, -2, -2, -2]
impolitely	-1.8	0.6	[-2, -2, -1, -1, -2, -1, -2, -2, -3, -2]
impoliteness	-1.8	0.87178	[-1, -3, -2, -3, -2, -3, -1, -1, -1, -1]
impolitenesses	-2.3	0.78102	[-3, -2, -2, -1, -1, -3, -3, -2, -3, -3]
importance	1.5	0.80623	[2, 1, 2, 3, 1, 2, 1, 0, 2, 1]
importancies	0.4	1.42829	[0, 0, 1, 2, 0, 0, 2, 2, 0, -3]
importancy	1.4	0.66332	[2, 1, 2, 2, 1, 2, 1, 0, 2, 1]
important	0.8	1.07703	[0, 0, 0, 2, 1, 0, 0, 3, 2, 0]
importantly	1.3	0.78102	[2, 1, 2, 1, 2, 2, 0, 0, 1, 2]
impose	-1.2	0.4	[-1, -1, -1, -1, -2, -1, -2, -1, -1, -1]
imposed	-0.3	1.41774	[2, -1, -1, -1, 1, 0, -2, 2, -2, -1]
imposes	-0.4	1.42829	[-2, -1, 1, -2, -1, -1, -2, 1, 2, 1]
imposing	-0.4	1.0198	[1, -1, -2, -1, 1, 1, 0, -1, -1, -1]
impotent	-1.1	0.3	[-1, -1, -1, -2, -1, -1, -1, -1, -1, -1]
impress	1.9	0.53852	[2, 2, 1, 2, 2, 2, 2, 1, 2, 3]
impressed	2.1	0.3	[2, 2, 2, 2, 2, 2, 3, 2, 2, 2]
impresses	2.1	0.3	[2, 2, 2, 2, 2, 2, 3, 2, 2, 2]
impressibility	1.2	1.249	[-1, 2, 0, 2, 0, 2, 2, 3, 2, 0]
impressible	0.8	1.16619	[2, -1, 1, 0, -1, 2, 1, 0, 2, 2]
impressing	2.5	0.92195	[3, 4, 1, 2, 3, 2, 3, 1, 3, 3]
impression	0.9	0.9434	[0, 1, 0, 0, 2, 2, 0, 2, 0, 2]
impressionable	0.2	1.07703	[0, 0, -1, 1, -1, -1, 0, 2, 0, 2]
impressionism	0.8	1.07703	[0, 2, 3, 0, 0, 2, 0, 0, 1, 0]
impressionisms	0.5	0.80623	[0, 0, 0, 0, 0, 2, 0, 1, 0, 2]
impressionist	1.0	1.09545	[0, 2, 3, 0, 0, 2, 2, 0, 1, 0]
impressionistic	1.5	1.20416	[2, 2, 0, 0, 1, 0, 2, 2, 4, 2]
impressionistically	1.6	0.8	[2, 0, 1, 1, 2, 2, 3, 2, 2, 1]
impressionists	0.5	1.43178	[2, 0, 0, 1, 1, 2, -2, 2, 1, -2]
impressions	0.9	1.13578	[2, 0, 0, 3, 0, 2, 0, 2, 0, 0]
impressive	2.3	0.78102	[1, 2, 3, 2, 3, 2, 3, 3, 3, 1]
impressively	2.0	0.89443	[3, 1, 1, 2, 2, 2, 2, 4, 2, 1]
impressiveness	1.7	0.64031	[2, 1, 2, 3, 1, 2, 2, 2, 1, 1]
impressment	-0.4	1.85472	[-2, 1, 3, -2, -1, -3, 0, 0, 2, -2]
impressments	0.5	1.20416	[2, 0, 0, 1, 2, 2, 0, -2, 0, 0]
impressure	0.6	1.0198	[-1, 0, 0, 0, 0, 2, 0, 2, 1, 2]
imprisoned	-2.0	1.0	[-4, -2, -3, -1, -3, -2, -1, -2, -1, -1]
improve	1.9	0.7	[2, 3, 3, 2, 1, 1, 2, 2, 1, 2]
improved	2.1	0.7	[3, 1, 2, 3, 2, 3, 1, 2, 2, 2]
improvement	2.0	0.63246	[2, 3, 3, 2, 1, 1, 2, 2, 2, 2]
improvements	1.3	0.64031	[0, 2, 2, 1, 2, 2, 1, 1, 1, 1]
improver	1.8	0.6	[2, 1, 2, 1, 2, 3, 1, 2, 2, 2]
improvers	1.3	0.78102	[1, 2, 2, 1, 2, 2, 0, 0, 1, 2]
improves	1.8	1.07703	[3, -1, 2, 2, 2, 3, 1, 2, 2, 2]
improving	1.8	0.4	[2, 2, 1, 1, 2, 2, 2, 2, 2, 2]
inability	-1.7	0.9	[-2, -2, -3, 0, -2, -3, -2, -1, -1, -1]
inaction	-1.0	0.63246	[-2, -1, 0, -1, -1, 0, -1, -2, -1, -1]
inadequacies	-1.7	0.64031	[-1, -3, -2, -1, -2, -1, -2, -2, -1, -2]
inadequacy	-1.7	0.78102	[-1, -3, -1, -1, -3, -2, -2, -1, -2, -1]
inadequate	-1.7	0.64031	[-2, -1, -1, -3, -1, -1, -2, -2, -2, -2]
inadequately	-1.0	1.26491	[-3, -1, -1, -2, 2, -1, -2, -1, 0, -1]
inadequateness	-1.7	0.45826	[-2, -2, -1, -1, -1, -2, -2, -2, -2, -2]
inadequatenesses	-1.6	0.91652	[-1, -1, -2, -1, -2, -4, -2, -1, -1, -1]
incapable	-1.6	0.4899	[-1, -2, -1, -1, -2, -1, -2, -2, -2, -2]
incapacitated	-1.9	0.9434	[-2, -2, -1, -1, -2, -4, -1, -1, -2, -3]
incensed	-2.0	1.0	[-2, -1, -4, 0, -2, -2, -2, -3, -2, -2]
incentive	1.5	1.0247	[1, 2, 1, 2, 1, 0, 4, 2, 1, 1]
incentives	1.3	1.34536	[2, 2, 1, 1, 3, 1, -2, 3, 1, 1]
incompetence	-2.3	0.45826	[-3, -2, -2, -3, -2, -3, -2, -2, -2, -2]
incompetent	-2.1	0.83066	[-1, -1, -2, -2, -3, -3, -2, -3, -1, -3]
inconsiderate	-1.9	0.7	[-2, -1, -1, -1, -2, -2, -2, -3, -3, -2]
inconvenience	-1.5	0.5	[-1, -2, -1, -1, -1, -2, -2, -1, -2, -2]
inconvenient	-1.4	0.4899	[-2, -2, -1, -2, -1, -2, -1, -1, -1, -1]
increase	1.3	0.64031	[1, 2, 2, 1, 2, 0, 1, 1, 2, 1]
increased	1.1	1.04403	[2, 0, 3, 2, 2, 1, 0, 1, 0, 0]
indecision	-0.8	0.6	[-1, 0, -1, 0, -1, -1, -2, 0, -1, -1]
indecisions	-1.1	0.53852	[-1, -1, -1, -1, -2, -1, -2, -1, 0, -1]
indecisive	-1.0	0.44721	[0, -1, -1, -1, -1, -2, -1, -1, -1, -1]
indecisively	-0.7	1.18743	[-2, -1, -1, -1, -1, -1, -2, 2, 1, -1]
indecisiveness	-1.3	0.64031	[-1, -3, -1, -2, -1, -1, -1, -1, -1, -1]
indecisivenesses	-0.9	0.53852	[-1, -1, 0, -1, -1, 0, -1, -2, -1, -1]
indestructible	0.6	1.85472	[3, 4, -1, -2, 1, 1, 2, 0, -1, -1]
indifference	-0.2	0.74833	[0, -1, 0, 0, 0, 1, -2, 0, 0, 0]
indifferent	-0.8	0.6	[-1, 0, 0, -1, -2, -1, -1, 0, -1, -1]
indignant	-1.8	0.74833	[-1, -3, -2, -2, -2, -1, -1, -1, -3, -2]
indignation	-2.4	0.8	[-2, -1, -2, -3, -3, -3, -1, -3, -3, -3]
indoctrinate	-1.4	0.91652	[-1, -3, -1, 0, -2, -1, -2, -2, 0, -2]
indoctrinated	-0.4	1.35647	[1, -2, -3, 1, -1, 1, 1, -1, -1, 0]
indoctrinates	-0.6	1.2	[1, -1, -3, 1, -1, 1, -1, -1, -1, -1]
indoctrinating	-0.7	1.41774	[-1, 0, -3, -1, -2, -1, 2, -2, 0, 1]
ineffective	-0.5	1.74642	[-2, -1, -1, -1, -2, 2, -2, 1, 3, -2]
ineffectively	-1.3	0.9	[-2, -2, -2, 1, -1, -1, -1, -2, -1, -2]
ineffectiveness	-1.3	0.45826	[-1, -1, -2, -1, -1, -2, -1, -1, -2, -1]
ineffectual	-1.2	0.4	[-1, -1, -1, -1, -1, -1, -1, -2, -2, -1]
ineffectuality	-1.6	0.66332	[-2, -1, -1, -1, -2, -1, -3, -2, -2, -1]
ineffectually	-1.1	0.9434	[-1, -2, -2, -1, 0, -1, -2, -1, 1, -2]
ineffectualness	-1.3	0.45826	[-2, -1, -1, -1, -1, -2, -1, -1, -2, -1]
infatuated	0.2	1.72047	[3, 2, 0, 3, -1, -1, -2, 0, -1, -1]
infatuation	0.6	1.74356	[1, -1, -1, 2, -1, 1, 4, 2, 1, -2]
infected	-2.2	0.6	[-3, -2, -2, -2, -2, -2, -3, -1, -2, -3]
inferior	-1.7	0.78102	[-1, -2, -2, -1, -1, -3, -2, -1, -1, -3]
inferiorities	-1.9	0.7	[-2, -3, -1, -2, -2, -3, -1, -1, -2, -2]
inferiority	-1.1	1.7	[-2, -3, -2, -2, -2, -3, 2, 1, -1, 1]
inferiorly	-2.0	0.63246	[-3, -2, -2, -2, -2, -3, -1, -2, -1, -2]
inferiors	-0.5	1.43178	[-1, -1, -1, -2, -1, 0, 3, -1, 1, -2]
inflamed	-1.4	1.28062	[-2, -2, -1, -2, -2, -1, 2, -3, -2, -1]
influential	1.9	1.04403	[3, 1, 2, 3, 4, 1, 1, 2, 1, 1]
infringement	-2.1	0.83066	[-3, -1, -2, -1, -2, -1, -3, -3, -2, -3]
infuriate	-2.2	0.87178	[-2, -1, -3, -3, -2, -3, -3, -1, -1, -3]
infuriated	-3.0	0.7746	[-1, -4, -3, -3, -3, -3, -3, -3, -3, -4]
infuriates	-2.6	0.8	[-4, -2, -1, -3, -3, -3, -2, -3, -3, -2]
infuriating	-2.4	1.42829	[-1, -3, -3, -3, -3, -4, 0, 0, -4, -3]
inhibin	-0.2	0.4	[-1, 0, 0, 0, 0, 0, 0, 0, -1, 0]
inhibit	-1.6	0.4899	[-1, -2, -1, -2, -1, -2, -2, -2, -1, -2]
inhibited	-0.4	0.4899	[0, 0, -1, 0, -1, -1, 0, -1, 0, 0]
inhibiting	-0.4	1.42829	[1, -1, -1, -1, -2, -1, 2, -2, 2, -1]
inhibition	-1.5	0.67082	[-1, -1, -1, -1, -2, -1, -1, -2, -2, -3]
inhibitions	-0.8	0.74833	[-2, -1, -2, 0, 0, 0, 0, -1, -1, -1]
inhibitive	-1.4	0.4899	[-2, -2, -1, -1, -2, -1, -2, -1, -1, -1]
inhibitor	-0.3	1.00499	[-2, 1, 1, -1, 1, 0, -1, -1, 0, -1]
inhibitors	-1.0	0.7746	[-1, 0, -2, -1, -2, -2, 0, 0, -1, -1]
inhibitory	-1.0	0.7746	[0, -1, -2, -2, -1, -2, 0, 0, -1, -1]
inhibits	-0.9	0.53852	[-1, -1, -2, -1, -1, 0, -1, -1, -1, 0]
injured	-1.7	0.64031	[-2, -1, -1, -1, -2, -1, -2, -2, -3, -2]
injury	-1.8	0.6	[-2, -2, -1, -2, -1, -1, -2, -3, -2, -2]
injustice	-2.7	0.64031	[-3, -2, -3, -4, -3, -3, -2, -2, -3, -2]
innocence	1.6	0.91652	[3, 1, 1, 1, 2, 2, 0, 3, 2, 1]
innocency	1.9	0.83066	[3, 1, 2, 0, 2, 2, 2, 3, 2, 2]
innocent	1.4	1.2	[1, -1, 2, 2, 2, 0, 1, 3, 3, 1]
innocenter	0.9	1.37477	[1, 1, 1, 2, 2, 1, 1, -3, 1, 2]
innocently	1.4	0.8	[0, 2, 1, 1, 1, 1, 3, 2, 2, 1]
innocents	1.1	1.04403	[0, 0, 2, 2, 2, -1, 1, 1, 2, 2]
innovate	2.2	0.74833	[2, 4, 3, 2, 2, 1, 2, 2, 2, 2]
innovates	2.0	0.89443	[2, 2, 2, 0, 1, 3, 3, 2, 3, 2]
innovation	1.6	0.91652	[1, 0, 3, 2, 1, 2, 3, 2, 1, 1]
innovative	1.9	0.83066	[1, 1, 2, 1, 2, 4, 2, 2, 2, 2]
inquisition	-1.2	1.249	[-2, 1, -1, 0, 0, -3, -1, -3, -2, -1]
inquisitive	0.7	1.18743	[2, 1, 1, 2, -2, -1, 1, 1, 1, 1]
insane	-1.7	0.78102	[-2, 0, -2, -1, -2, -3, -2, -2, -1, -2]
insanity	-2.7	1.00499	[-2, -4, -1, -1, -3, -4, -3, -3, -3, -3]
insecure	-1.8	0.74833	[-1, -2, -2, -1, -3, -2, -3, -2, -1, -1]
insecurely	-1.4	0.66332	[-3, -1, -1, -1, -2, -1, -2, -1, -1, -1]
insecureness	-1.8	0.87178	[-1, -1, -1, -3, -3, -3, -2, -2, -1, -1]
insecurities	-1.8	0.6	[-3, -2, -2, -2, -1, -2, -1, -1, -2, -2]
insecurity	-1.8	0.74833	[-2, -2, -2, -1, -3, -3, -2, -1, -1, -1]
insensitive	-0.9	1.81384	[2, -3, -2, -1, 2, -3, -2, 1, -1, -2]
insensitivity	-1.8	0.6	[-2, -2, -1, -3, -2, -2, -1, -2, -1, -2]
insignificant	-1.4	0.8	[-3, -2, -1, -2, -1, -2, 0, -1, -1, -1]
insincere	-1.8	0.6	[-2, -1, -2, -1, -2, -2, -2, -2, -1, -3]
insincerely	-1.9	0.7	[-2, -1, -2, -2, -1, -3, -2, -3, -1, -2]
insincerity	-1.4	1.35647	[-1, -1, -3, -2, -1, 2, -2, -1, -2, -3]
insipid	-2.0	0.7746	[-1, -2, -2, -1, -3, -3, -3, -2, -2, -1]
inspiration	2.4	0.8	[3, 3, 3, 3, 1, 3, 1, 3, 2, 2]
inspirational	2.3	0.64031	[2, 3, 2, 3, 2, 3, 2, 3, 1, 2]
inspirationally	2.3	0.64031	[3, 2, 2, 3, 3, 1, 2, 2, 3, 2]
inspirations	2.1	0.53852	[2, 2, 2, 2, 1, 2, 2, 3, 3, 2]
inspirator	1.9	1.22066	[2, 2, 3, 0, 3, 4, 0, 2, 1, 2]
inspirators	1.2	0.74833	[3, 1, 1, 2, 1, 1, 1, 1, 0, 1]
inspiratory	1.5	0.67082	[2, 2, 3, 1, 1, 1, 1, 1, 2, 1]
inspire	2.7	0.78102	[2, 3, 3, 3, 3, 3, 3, 1, 4, 2]
inspired	2.2	0.87178	[3, 2, 1, 3, 1, 1, 3, 2, 3, 3]
inspirer	2.2	1.07703	[3, 2, 2, 4, 0, 2, 3, 1, 3, 2]
inspirers	2.0	0.63246	[2, 2, 3, 2, 3, 2, 1, 2, 1, 2]
inspires	1.9	1.04403	[2, 2, 2, 4, 0, 2, 3, 1, 1, 2]
inspiring	1.8	1.07703	[2, 2, 2, -1, 2, 3, 2, 2, 1, 3]
inspiringly	2.6	0.4899	[2, 3, 3, 2, 3, 3, 2, 3, 2, 3]
inspirit	1.9	0.7	[1, 3, 2, 1, 2, 1, 3, 2, 2, 2]
inspirited	1.3	1.18743	[2, 2, 0, 0, 3, 0, 2, 0, 3, 1]
inspiriting	1.8	0.4	[1, 2, 1, 2, 2, 2, 2, 2, 2, 2]
inspiritingly	2.1	1.44568	[3, 2, 2, 2, 4, 1, -1, 3, 4, 1]
inspirits	0.8	1.46969	[3, 0, 3, -2, 0, 1, 1, 0, 2, 0]
insult	-2.3	1.00499	[-2, -1, -2, -3, -4, -1, -3, -1, -3, -3]
insulted	-2.3	0.45826	[-2, -2, -2, -2, -3, -2, -2, -2, -3, -3]
insulter	-2.0	0.63246	[-2, -1, -2, -2, -1, -3, -3, -2, -2, -2]
insulters	-2.0	0.44721	[-2, -3, -2, -2, -2, -2, -2, -1, -2, -2]
insulting	-2.2	0.74833	[-3, -2, -3, -3, -2, -3, -1, -2, -2, -1]
insultingly	-2.3	0.78102	[-3, -3, -1, -2, -2, -3, -2, -1, -3, -3]
insults	-1.8	0.6	[-2, -3, -2, -2, -1, -1, -1, -2, -2, -2]
intact	0.8	0.6	[1, 1, 0, 0, 1, 1, 0, 1, 1, 2]
integrity	1.6	0.66332	[2, 1, 1, 1, 2, 1, 3, 1, 2, 2]
intellect	2.0	1.09545	[2, 1, 4, 2, 1, 3, 2, 3, 0, 2]
intellection	0.6	1.0198	[0, 0, 0, 1, 0, 0, 0, 0, 2, 3]
intellections	0.8	0.87178	[1, 0, 1, 0, 1, 1, 1, 0, 0, 3]
intellective	1.7	0.78102	[3, 2, 1, 2, 2, 1, 0, 2, 2, 2]
intellectively	0.8	0.9798	[0, 0, 1, 1, 0, 3, 0, 1, 2, 0]
intellects	1.8	0.87178	[1, 0, 2, 1, 3, 2, 2, 2, 3, 2]
intellectual	2.3	0.9	[3, 3, 1, 2, 3, 4, 2, 2, 1, 2]
intellectualism	2.2	1.07703	[4, 0, 3, 1, 3, 2, 2, 3, 2, 2]
intellectualist	2.0	1.0	[4, 0, 2, 1, 3, 2, 2, 2, 2, 2]
intellectualistic	1.3	1.73494	[1, 4, 0, 3, -2, 0, 2, 3, 0, 2]
intellectualists	0.8	0.74833	[0, 1, 1, 1, 0, 2, 0, 1, 2, 0]
intellectualities	1.7	1.34536	[3, 3, 0, 2, 1, 0, 0, 4, 2, 2]
intellectuality	1.7	1.1	[3, 2, 2, 1, 2, 1, 0, 3, 0, 3]
intellectualization	1.5	1.11803	[2, 1, 2, 1, 4, 2, 0, 0, 2, 1]
intellectualize	1.5	0.92195	[1, 2, 1, 1, 3, 2, 3, 0, 1, 1]
intellectualized	1.2	0.74833	[1, 0, 1, 1, 2, 0, 1, 2, 2, 2]
intellectualizes	1.8	0.87178	[2, 3, 2, 0, 2, 3, 2, 2, 1, 1]
intellectualizing	0.8	1.77764	[0, 1, 2, 1, 0, 2, 2, -4, 2, 2]
intellectually	1.4	0.8	[2, 0, 0, 1, 2, 2, 2, 2, 2, 1]
intellectualness	1.5	0.80623	[2, 2, 2, 2, 0, 0, 1, 2, 2, 2]
intellectuals	1.6	0.8	[0, 1, 2, 1, 3, 2, 1, 2, 2, 2]
intelligence	2.1	0.9434	[3, 2, 2, 1, 3, 3, 3, 2, 2, 0]
intelligencer	1.5	0.80623	[2, 0, 0, 2, 2, 2, 2, 1, 2, 2]
intelligencers	1.6	0.91652	[2, 2, 0, 2, 2, 0, 3, 2, 2, 1]
intelligences	1.6	0.91652	[3, 0, 0, 2, 2, 2, 2, 1, 2, 2]
intelligent	2.0	0.7746	[1, 2, 2, 1, 4, 2, 2, 2, 2, 2]
intelligential	1.9	0.9434	[3, 2, 2, 1, 3, 2, 2, 3, 0, 1]
intelligently	2.0	0.63246	[2, 3, 2, 3, 1, 2, 2, 1, 2, 2]
intelligentsia	1.5	1.20416	[0, 1, 2, 0, 4, 3, 2, 1, 1, 1]
intelligibility	1.5	0.80623	[2, 2, 0, 2, 2, 1, 2, 0, 2, 2]
intelligible	1.4	0.8	[1, 2, 2, 1, 0, 2, 1, 1, 3, 1]
intelligibleness	1.5	1.20416	[2, 1, 3, -1, 2, 2, 2, 0, 1, 3]
intelligibly	1.2	0.87178	[1, 2, 1, 2, 1, -1, 2, 2, 1, 1]
intense	0.3	0.45826	[0, 1, 1, 0, 0, 0, 0, 0, 1, 0]
interest	2.0	1.18322	[2, 3, 3, 1, 1, 3, 4, 1, 2, 0]
interested	1.7	0.45826	[2, 1, 2, 2, 1, 2, 2, 2, 1, 2]
interestedly	1.5	0.67082	[2, 2, 2, 1, 2, 1, 2, 1, 0, 2]
interesting	1.7	0.78102	[1, 2, 1, 3, 1, 1, 1, 3, 2, 2]
interestingly	1.7	0.45826	[2, 2, 2, 1, 2, 1, 1, 2, 2, 2]
interestingness	1.8	0.87178	[2, 3, 1, 3, 1, 3, 2, 1, 1, 1]
interests	1.0	0.89443	[1, 0, 1, 2, 0, 0, 1, 1, 1, 3]
interrogated	-1.6	1.0198	[-3, -1, -1, -1, -2, -1, -3, -1, -3, 0]
interrupt	-1.4	0.4899	[-2, -1, -1, -1, -2, -2, -1, -1, -2, -1]
interrupted	-1.2	0.6	[-1, -2, -1, 0, -1, -1, -2, -1, -2, -1]
interrupter	-1.1	0.53852	[-1, -2, -1, 0, -1, -1, -1, -1, -2, -1]
interrupters	-1.3	0.45826	[-1, -2, -1, -1, -1, -1, -2, -1, -2, -1]
interruptible	-1.3	1.00499	[-2, -1, 0, -2, 0, -3, -2, -1, 0, -2]
interrupting	-1.2	0.4	[-2, -1, -1, -1, -1, -2, -1, -1, -1, -1]
interruption	-1.5	0.67082	[-1, -1, -2, -3, -2, -1, -1, -1, -2, -1]
interruptions	-1.7	0.45826	[-2, -2, -2, -2, -2, -1, -1, -1, -2, -2]
interruptive	-1.4	0.66332	[-2, -2, -1, -2, -2, 0, -1, -1, -1, -2]
interruptor	-1.3	0.64031	[-2, -1, -1, -1, 0, -2, -2, -2, -1, -1]
interrupts	-1.3	0.64031	[-1, -1, -2, -1, -1, -1, -1, -1, -3, -1]
intimidate	-0.8	1.46969	[-1, -2, -2, -2, -2, -1, 2, 1, 1, -2]
intimidated	-1.9	0.7	[-2, -1, -3, -3, -1, -2, -2, -1, -2, -2]
intimidates	-1.3	0.78102	[-2, -1, -1, -1, -3, -2, -1, -1, -1, 0]
intimidating	-1.9	1.04403	[0, -2, -1, -3, -2, -1, -1, -3, -3, -3]
intimidatingly	-1.1	1.64012	[2, -2, -3, -1, -2, -2, 2, -2, -1, -2]
intimidation	-1.8	1.249	[1, -2, -3, -1, -2, -3, -1, -3, -1, -3]
intimidations	-1.4	1.49666	[1, -2, -2, -2, -1, -1, -1, -4, 1, -3]
intimidator	-1.6	0.4899	[-1, -1, -2, -2, -1, -2, -2, -1, -2, -2]
intimidators	-1.6	0.8	[-1, -1, -3, -2, -1, -1, -3, -1, -2, -1]
intimidatory	-1.1	1.22066	[-1, -2, -3, -1, -1, -1, -2, 2, -1, -1]
intricate	0.6	0.66332	[1, 0, 2, 1, 0, 1, 1, 0, 0, 0]
intrigues	0.9	0.9434	[2, -1, 2, 1, 2, 0, 1, 1, 0, 1]
invigorate	1.9	0.83066	[2, 2, 2, 0, 2, 3, 3, 2, 1, 2]
invigorated	0.8	1.8868	[-2, 3, 2, 2, -2, -2, 2, 2, 1, 2]
invigorates	2.1	0.53852	[3, 2, 3, 2, 1, 2, 2, 2, 2, 2]
invigorating	2.1	0.7	[2, 1, 1, 3, 3, 3, 2, 2, 2, 2]
invigoratingly	2.0	0.63246	[2, 2, 1, 2, 1, 3, 2, 2, 2, 3]
invigoration	1.5	1.36015	[2, 2, 1, -2, 1, 3, 3, 2, 1, 2]
invigorations	1.2	0.87178	[1, -1, 2, 2, 1, 1, 2, 1, 2, 1]
invigorator	1.1	1.3	[3, 1, 0, 2, 2, -2, 1, 1, 2, 1]
invigorators	1.2	0.87178	[1, 1, 1, 1, 3, 2, 0, 0, 1, 2]
invincible	2.2	1.77764	[4, 1, 3, 2, 4, 1, 4, -1, 0, 4]
invite	0.6	0.66332	[2, 1, 1, 0, 0, 0, 0, 1, 1, 0]
inviting	1.3	0.45826	[1, 1, 1, 2, 1, 2, 2, 1, 1, 1]
invulnerable	1.3	1.73494	[2, 3, 4, 2, 0, 3, 0, 1, -2, 0]
irate	-2.9	0.53852	[-3, -3, -3, -2, -3, -4, -3, -3, -2, -3]
ironic	-0.5	1.28452	[1, 0, 0, 0, 0, 0, -4, -1, -1, 0]
irony	-0.2	1.07703	[-1, 0, -3, 0, 0, 0, 1, 0, 1, 0]
irrational	-1.4	0.4899	[-1, -1, -1, -2, -2, -2, -1, -1, -2, -1]
irrationalism	-1.5	0.5	[-1, -2, -1, -1, -2, -1, -2, -2, -1, -2]
irrationalist	-2.1	0.9434	[-1, -4, -2, -2, -3, -3, -2, -1, -1, -2]
irrationalists	-1.5	0.92195	[-2, -2, -1, -2, -2, 1, -1, -2, -2, -2]
irrationalities	-1.5	0.80623	[-2, -2, 0, -1, -1, -1, -2, -3, -1, -2]
irrationality	-1.7	0.9	[-3, -3, -1, -2, -1, -1, -1, -1, -3, -1]
irrationally	-1.6	0.4899	[-1, -2, -1, -2, -1, -2, -2, -2, -1, -2]
irrationals	-1.1	0.83066	[-2, 0, -1, 0, -1, -1, -3, -1, -1, -1]
irresistible	1.4	2.2	[2, 3, 2, 3, 4, 4, 1, -1, -2, -2]
irresolute	-1.4	0.66332	[-2, -2, -1, -2, -1, -1, -1, -2, -2, 0]
irresponsible	-1.9	0.3	[-2, -2, -2, -2, -2, -2, -1, -2, -2, -2]
irreversible	-0.8	0.87178	[-2, -2, 0, -1, 0, 0, 0, -1, -2, 0]
irritabilities	-1.7	0.64031	[-2, -2, -2, -1, -1, -1, -1, -2, -3, -2]
irritability	-1.4	1.28062	[-2, -1, -2, -1, 2, -2, -2, -2, -1, -3]
irritable	-2.1	0.7	[-2, -2, -3, -1, -2, -1, -3, -2, -3, -2]
irritableness	-1.7	0.64031	[-2, -2, -2, -1, -2, -1, -1, -3, -1, -2]
irritably	-1.8	0.6	[-2, -2, -1, -1, -3, -2, -1, -2, -2, -2]
irritant	-2.3	0.78102	[-3, -3, -3, -3, -3, -1, -2, -2, -2, -1]
irritants	-2.1	0.83066	[-2, -3, -1, -4, -2, -1, -2, -2, -2, -2]
irritate	-1.8	0.6	[-3, -2, -2, -2, -1, -2, -1, -2, -1, -2]
irritated	-2.0	0.63246	[-1, -2, -2, -2, -3, -2, -2, -3, -1, -2]
irritates	-1.7	0.78102	[-1, -2, -1, -1, -3, -2, -2, -3, -1, -1]
irritating	-2.0	0.63246	[-2, -2, -2, -1, -1, -3, -2, -2, -3, -2]
irritatingly	-2.0	0.44721	[-2, -2, -2, -3, -1, -2, -2, -2, -2, -2]
irritation	-2.3	0.78102	[-3, -2, -2, -2, -1, -3, -3, -1, -3, -3]
irritations	-1.5	0.67082	[-2, -2, -1, -1, -1, -1, -1, -2, -3, -1]
irritative	-2.0	0.63246	[-3, -2, -3, -2, -1, -2, -2, -2, -1, -2]
isolatable	0.2	1.249	[1, 0, -2, 0, -1, -1, 2, 0, 2, 1]
isolate	-0.8	0.74833	[-1, -1, -1, 0, 0, 0, 0, -2, -1, -2]
isolated	-1.3	0.64031	[-1, -1, -1, -1, -1, -1, -2, -1, -3, -1]
isolates	-1.3	0.64031	[-1, -1, -1, -1, -2, -1, -3, -1, -1, -1]
isolation	-1.7	0.78102	[-1, -3, -1, -2, -2, -1, -3, -1, -2, -1]
isolationism	0.4	1.62481	[2, 0, -1, -2, -1, 3, 0, 2, -1, 2]
isolationist	0.7	1.55242	[2, 0, 0, -1, -1, 3, 0, 2, -1, 3]
isolations	-0.5	1.11803	[-1, -2, -2, -1, 1, 1, -1, 0, 1, -1]
isolator	-0.4	0.66332	[0, 0, -1, 0, -1, 0, -2, 0, 0, 0]
isolators	-0.4	1.42829	[-2, -1, -1, -2, 2, 2, -1, 1, -1, -1]
itchy	-1.1	0.53852	[-1, -1, -1, -1, -2, 0, -1, -1, -2, -1]
jackass	-1.8	1.07703	[-1, 0, -3, -2, -2, -3, 0, -2, -2, -3]
jackasses	-2.8	0.9798	[-2, -2, -4, -3, -4, -4, -3, -1, -2, -3]
jaded	-1.6	0.66332	[-1, -1, -1, -2, -2, -1, -2, -2, -1, -3]
jailed	-2.2	0.87178	[-4, -3, -2, -2, -1, -2, -2, -3, -1, -2]
jaunty	1.2	0.6	[2, 1, 0, 2, 1, 1, 1, 2, 1, 1]
jealous	-2.0	0.63246	[-2, -2, -3, -2, -3, -2, -1, -1, -2, -2]
jealousies	-2.0	0.63246	[-2, -3, -2, -1, -2, -3, -2, -1, -2, -2]
jealously	-2.0	0.89443	[-1, -3, -1, -4, -2, -2, -1, -2, -2, -2]
jealousness	-1.7	0.45826	[-1, -2, -2, -2, -2, -1, -1, -2, -2, -2]
jealousy	-1.3	1.73494	[-2, -3, -2, -2, -2, 2, -3, -1, 2, -2]
jeopardy	-2.1	0.9434	[-3, -3, -3, -1, -1, -3, -2, -1, -1, -3]
jerk	-1.4	0.8	[-1, -1, -1, -2, -3, 0, -2, -1, -1, -2]
jerked	-0.8	0.74833	[0, -1, -1, 0, -2, -1, 0, -1, 0, -2]
jerks	-1.1	1.51327	[-2, -2, -1, -2, -1, 0, -2, 3, -2, -2]
jewel	1.5	1.20416	[1, 3, 2, 0, 2, 1, 3, 0, 3, 0]
jewels	2.0	1.34164	[3, 1, 0, 0, 4, 3, 3, 2, 3, 1]
jocular	1.2	1.249	[0, 1, 2, -2, 1, 2, 2, 2, 2, 2]
join	1.2	0.74833	[2, 2, 1, 2, 1, 0, 1, 2, 0, 1]
joke	1.2	0.74833	[1, 1, 1, 1, 1, 1, 0, 2, 1, 3]
joked	1.3	0.64031	[1, 1, 2, 2, 0, 2, 1, 1, 2, 1]
joker	0.5	0.92195	[1, 1, -1, 1, 2, -1, 1, 1, 0, 0]
jokes	1.0	0.7746	[1, 1, -1, 1, 1, 2, 1, 1, 2, 1]
jokester	1.5	0.67082	[2, 2, 2, 2, 1, 1, 0, 1, 2, 2]
jokesters	0.9	0.83066	[0, 0, 2, 1, 1, 2, 2, 0, 1, 0]
jokey	1.1	0.3	[1, 1, 2, 1, 1, 1, 1, 1, 1, 1]
joking	0.9	0.53852	[1, 2, 1, 1, 1, 0, 1, 1, 0, 1]
jollied	2.4	0.66332	[3, 3, 2, 2, 3, 3, 2, 2, 1, 3]
jollier	2.4	0.4899	[2, 2, 3, 3, 2, 2, 2, 3, 2, 3]
jollies	2.0	0.63246	[1, 2, 3, 2, 2, 2, 1, 2, 2, 3]
jolliest	2.9	0.7	[3, 3, 2, 4, 3, 2, 3, 4, 2, 3]
jollification	2.2	0.74833	[2, 3, 3, 1, 2, 1, 3, 2, 3, 2]
jollifications	2.0	0.7746	[2, 3, 2, 2, 2, 2, 3, 2, 0, 2]
jollify	2.1	0.53852	[2, 3, 2, 2, 2, 2, 2, 3, 1, 2]
jollily	2.7	0.64031	[3, 3, 3, 3, 3, 3, 3, 1, 3, 2]
jolliness	2.5	0.67082	[3, 1, 2, 3, 2, 3, 3, 3, 2, 3]
jollities	1.7	0.64031	[2, 1, 2, 2, 1, 2, 2, 3, 1, 1]
jollity	1.8	1.6	[3, 2, 1, 1, 4, 3, 1, 2, 3, -2]
jolly	2.3	1.00499	[4, 3, 3, 1, 1, 1, 3, 2, 3, 2]
jollying	2.3	0.64031	[2, 3, 3, 1, 3, 3, 2, 2, 2, 2]
jovial	1.9	0.53852	[2, 2, 1, 2, 1, 2, 3, 2, 2, 2]
joy	2.8	0.74833	[3, 2, 3, 4, 3, 3, 3, 1, 3, 3]
joyance	2.3	0.9	[1, 3, 4, 2, 2, 1, 2, 3, 2, 3]
joyed	2.9	0.3	[3, 3, 3, 3, 3, 3, 3, 2, 3, 3]
joyful	2.9	0.53852	[3, 2, 3, 3, 2, 3, 4, 3, 3, 3]
joyfuller	2.4	0.66332	[2, 4, 3, 2, 2, 2, 3, 2, 2, 2]
joyfully	2.5	0.67082	[2, 2, 3, 3, 2, 2, 3, 4, 2, 2]
joyfulness	2.7	1.00499	[4, 3, 1, 3, 3, 3, 4, 2, 1, 3]
joying	2.5	0.67082	[2, 2, 1, 3, 3, 3, 3, 3, 3, 2]
joyless	-2.5	0.67082	[-1, -2, -3, -3, -3, -3, -2, -2, -3, -3]
joylessly	-1.7	1.1	[-2, -2, -3, -3, -2, -1, 1, -2, -1, -2]
joylessness	-2.7	0.9	[-4, -3, -3, -3, -3, -3, -3, -1, -1, -3]
joyous	3.1	0.7	[3, 4, 3, 2, 4, 3, 3, 4, 2, 3]
joyously	2.9	0.7	[2, 3, 4, 3, 4, 2, 2, 3, 3, 3]
joyousness	2.8	0.74833	[3, 3, 1, 3, 3, 3, 4, 2, 3, 3]
joypop	-0.2	1.93907	[-3, 1, 2, 2, -3, -1, -2, -1, 1, 2]
joypoppers	-0.1	1.22066	[2, -1, 1, -1, -1, 1, 1, 0, -2, -1]
joyridden	0.6	1.8	[-2, -1, 4, 0, 0, 2, 1, -1, 0, 3]
joyride	1.1	1.22066	[-1, 1, 2, 0, 2, 0, 2, 2, 3, 0]
joyrider	0.7	1.26886	[2, -2, 1, 2, 0, 2, -1, 1, 1, 1]
joyriders	1.3	1.18743	[1, 0, 0, 1, 4, 3, 1, 1, 1, 1]
joyrides	0.8	1.32665	[2, -2, 1, 2, 0, 2, -1, 1, 2, 1]
joyriding	0.9	1.04403	[1, -1, 1, 1, 0, 2, 0, 1, 3, 1]
joyrode	1.0	1.48324	[4, 0, -2, 0, 2, 1, 2, 1, 1, 1]
joys	2.2	0.4	[2, 2, 2, 2, 2, 3, 2, 3, 2, 2]
joystick	0.7	0.78102	[1, 0, 2, 2, 0, 0, 1, 1, 0, 0]
joysticks	0.2	0.4	[0, 0, 0, 0, 1, 0, 0, 1, 0, 0]
jubilant	3.0	0.63246	[3, 3, 4, 3, 3, 2, 3, 4, 2, 3]
jumpy	-1.0	0.63246	[0, 0, -2, -1, -1, -1, -1, -1, -2, -1]
justice	2.4	1.0198	[3, 2, 1, 2, 3, 2, 4, 4, 2, 1]
justifiably	1.0	0.7746	[0, 1, 0, 1, 1, 1, 0, 2, 2, 2]
justified	1.7	0.64031	[1, 2, 2, 3, 1, 1, 1, 2, 2, 2]
keen	1.5	0.67082	[1, 1, 3, 1, 2, 1, 1, 2, 2, 1]
keened	0.3	1.00499	[-2, 0, 1, 0, 1, 1, 0, 2, 0, 0]
keener	0.5	1.20416	[-1, -1, 0, -1, 2, 1, 2, 2, 1, 0]
keeners	0.6	0.4899	[1, 0, 0, 1, 1, 0, 1, 1, 0, 1]
keenest	1.9	0.83066	[3, 3, 1, 1, 3, 2, 2, 1, 2, 1]
keening	-0.7	1.41774	[0, -3, -1, -1, -3, 1, -1, 1, 1, -1]
keenly	1.0	0.7746	[2, 1, 1, 0, 1, 0, 2, 1, 2, 0]
keenness	1.4	0.4899	[1, 1, 2, 2, 1, 1, 1, 2, 2, 1]
keens	0.1	1.22066	[1, -3, 0, 0, 0, 2, 1, 0, 0, 0]
kewl	1.3	0.45826	[2, 1, 1, 1, 2, 1, 2, 1, 1, 1]
kidding	0.4	0.8	[0, 1, 0, -1, 1, 1, 1, 1, -1, 1]
kill	-3.7	0.45826	[-4, -4, -4, -4, -3, -4, -4, -4, -3, -3]
killdeer	-1.1	1.04403	[-3, 0, 0, -1, -2, 0, -1, -2, -2, 0]
killdeers	-0.1	0.3	[0, 0, 0, 0, 0, 0, 0, 0, 0, -1]
killdees	-0.6	0.66332	[-2, 0, 0, 0, -1, 0, -1, -1, -1, 0]
killed	-3.5	0.67082	[-3, -3, -2, -4, -4, -4, -3, -4, -4, -4]
killer	-3.3	0.64031	[-4, -4, -3, -3, -4, -4, -3, -3, -2, -3]
killers	-3.3	0.45826	[-3, -3, -4, -3, -3, -3, -4, -3, -4, -3]
killick	0.1	0.3	[0, 1, 0, 0, 0, 0, 0, 0, 0, 0]
killie	-0.1	0.3	[0, 0, 0, 0, 0, 0, 0, 0, 0, -1]
killifish	-0.1	0.7	[0, 0, 0, 0, -2, 0, 0, 0, 1, 0]
killifishes	-0.1	0.3	[0, -1, 0, 0, 0, 0, 0, 0, 0, 0]
killing	-3.4	1.2	[-4, 0, -4, -4, -4, -3, -4, -3, -4, -4]
killingly	-2.6	1.0198	[-3, -2, -4, -2, -1, -3, -4, -3, -3, -1]
killings	-3.5	0.67082	[-4, -3, -4, -4, -2, -3, -4, -4, -3, -4]
killjoy	-2.1	0.83066	[-1, -2, -3, -2, -1, -3, -2, -1, -3, -3]
killjoys	-1.7	0.9	[-1, -3, -3, -1, -2, -1, -2, 0, -2, -2]
killock	-0.3	0.64031	[0, 0, 0, 0, -2, 0, 0, 0, -1, 0]
killocks	-0.4	0.66332	[0, 0, 0, -2, -1, 0, -1, 0, 0, 0]
kills	-2.5	0.92195	[-2, -3, -2, -3, -4, -1, -3, -3, -1, -3]
kind	2.4	0.66332	[2, 2, 3, 3, 2, 3, 3, 2, 1, 3]
kinder	2.2	0.6	[3, 3, 3, 2, 2, 2, 2, 1, 2, 2]
kindly	2.2	0.4	[2, 2, 2, 3, 2, 2, 2, 2, 2, 3]
kindness	2.0	0.63246	[2, 1, 3, 3, 2, 1, 2, 2, 2, 2]
kindnesses	2.3	0.64031	[3, 1, 3, 2, 3, 2, 3, 2, 2, 2]
kiss	1.8	1.6	[4, 0, 3, 3, 2, 0, 4, 2, 0, 0]
kissable	2.0	0.89443	[2, 2, 2, 2, 4, 2, 3, 1, 1, 1]
kissably	1.9	1.04403	[1, 3, 4, 1, 2, 1, 3, 2, 1, 1]
kissed	1.6	1.11355	[2, 4, 1, 1, 1, 2, 3, 0, 1, 1]
kisser	1.7	1.34536	[2, 4, 1, 2, -1, 2, 3, 0, 2, 2]
kissers	1.5	0.80623	[1, 1, 1, 0, 2, 2, 3, 2, 1, 2]
kisses	2.3	0.9	[2, 4, 2, 2, 1, 2, 4, 2, 2, 2]
kissing	2.7	0.78102	[3, 3, 4, 1, 3, 2, 2, 3, 3, 3]
kissy	1.8	0.6	[2, 2, 2, 3, 1, 1, 2, 2, 1, 2]
kudos	2.3	0.64031	[2, 4, 2, 3, 2, 2, 2, 2, 2, 2]
lack	-1.3	0.45826	[-1, -1, -1, -1, -2, -1, -2, -1, -1, -2]
lackadaisical	-1.6	0.66332	[-1, -1, -2, -1, -2, -2, -3, -1, -2, -1]
lag	-1.4	0.66332	[-1, -1, -1, -1, -1, -3, -1, -2, -2, -1]
lagged	-1.2	0.6	[-2, -2, -1, -2, -1, -1, 0, -1, -1, -1]
lagging	-1.1	0.83066	[-2, -2, -2, -1, 0, 0, -1, 0, -1, -2]
lags	-1.5	0.67082	[-2, -1, -1, -2, -1, -3, -1, -2, -1, -1]
laidback	0.5	1.28452	[1, -1, 1, -2, -1, 1, 2, 1, 1, 2]
lame	-1.8	0.74833	[-1, -3, -1, -2, -2, -1, -2, -3, -1, -2]
lamebrain	-1.6	0.91652	[-3, -2, -1, 0, -3, -1, -1, -2, -2, -1]
lamebrained	-2.5	0.67082	[-3, -3, -2, -2, -2, -2, -4, -3, -2, -2]
lamebrains	-1.2	1.46969	[-2, -1, -3, -1, 2, -2, 1, -2, -2, -2]
lamedh	0.1	0.53852	[0, 0, 0, 0, 0, 1, 1, -1, 0, 0]
lamella	-0.1	0.3	[0, -1, 0, 0, 0, 0, 0, 0, 0, 0]
lamellae	-0.1	0.3	[0, 0, 0, 0, 0, 0, -1, 0, 0, 0]
lamellas	0.1	0.53852	[0, 0, 0, 0, 0, 1, 0, 1, 0, -1]
lamellibranch	0.2	0.4	[0, 0, 0, 0, 0, 1, 0, 1, 0, 0]
lamellibranchs	-0.1	0.3	[0, 0, -1, 0, 0, 0, 0, 0, 0, 0]
lamely	-2.0	0.89443	[-2, -3, 0, -1, -2, -3, -2, -3, -2, -2]
lameness	-0.8	1.07703	[-2, -2, -1, -1, -1, 0, 2, -1, -1, -1]
lament	-2.0	1.26491	[-3, -3, 1, -1, -2, -2, -1, -3, -3, -3]
lamentable	-1.5	1.0247	[-2, 0, -2, -1, 0, -2, -3, -1, -1, -3]
lamentableness	-1.3	0.64031	[-2, -1, -1, 0, -2, -1, -1, -1, -2, -2]
lamentably	-1.5	0.80623	[-2, 0, -3, -1, -1, -2, -2, -1, -1, -2]
lamentation	-1.4	1.49666	[-3, -2, 0, -3, -1, -1, 2, -2, -1, -3]
lamentations	-1.9	1.44568	[-2, -2, -2, -3, 2, -1, -3, -3, -2, -3]
lamented	-1.4	0.91652	[-1, 0, -1, -2, -2, -1, -2, -3, -2, 0]
lamenter	-1.2	0.87178	[-1, 0, -1, -1, -1, -1, -2, -3, -2, 0]
lamenters	-0.5	0.67082	[-1, 0, 0, -1, -1, 0, 0, 0, -2, 0]
lamenting	-2.0	1.09545	[0, -2, -1, -4, -1, -3, -2, -2, -3, -2]
laments	-1.5	0.80623	[-1, -3, 0, -1, -2, -1, -2, -2, -2, -1]
lamer	-1.4	0.4899	[-2, -1, -1, -2, -1, -1, -1, -2, -2, -1]
lames	-1.2	0.6	[-2, -1, -1, -2, 0, -1, -1, -2, -1, -1]
lamest	-1.5	1.28452	[-3, -2, -1, -4, 1, -1, -1, -1, -1, -2]
landmark	0.3	0.64031	[2, 0, 0, 0, 0, 0, 0, 0, 1, 0]
laugh	2.6	0.66332	[3, 2, 3, 1, 3, 3, 3, 3, 2, 3]
laughable	0.2	1.72047	[-2, -1, 3, -1, 2, 2, -1, -1, -1, 2]
laughableness	1.2	1.6	[2, 0, 3, 2, 2, 1, 3, -2, 2, -1]
laughably	1.2	1.249	[2, 1, 2, 1, 1, 1, 2, 3, -2, 1]
laughed	2.0	0.63246	[2, 2, 3, 1, 2, 1, 2, 2, 3, 2]
laugher	1.7	0.45826	[2, 2, 1, 1, 2, 1, 2, 2, 2, 2]
laughers	1.7	0.9	[1, 2, 4, 1, 2, 1, 2, 1, 1, 2]
laughing	2.2	0.87178	[2, 4, 1, 1, 3, 2, 2, 2, 2, 3]
laughingly	2.3	1.1	[2, 4, 0, 2, 3, 1, 3, 2, 3, 3]
laughings	1.9	0.7	[2, 1, 1, 1, 2, 3, 2, 2, 3, 2]
laughingstocks	-1.3	1.26886	[-3, -2, 1, -2, -1, -1, 1, -2, -2, -2]
laughs	2.2	0.6	[1, 2, 2, 3, 3, 2, 3, 2, 2, 2]
laughter	2.2	0.6	[2, 3, 2, 2, 2, 2, 3, 1, 3, 2]
laughters	2.2	0.6	[3, 1, 2, 2, 2, 3, 3, 2, 2, 2]
launched	0.5	0.80623	[2, 0, 0, 0, 0, 0, 0, 1, 2, 0]
lawl	1.4	1.42829	[0, 2, 2, 1, 3, -2, 3, 1, 2, 2]
lawsuit	-0.9	1.22066	[-2, -2, -1, -3, -1, 1, 0, 1, -1, -1]
lawsuits	-0.6	1.68523	[-2, -1, 0, 3, 2, -1, -1, -2, -2, -2]
lazier	-2.3	0.64031	[-3, -2, -3, -2, -1, -2, -2, -3, -2, -3]
laziest	-2.7	0.64031	[-2, -2, -3, -4, -3, -3, -2, -2, -3, -3]
lazy	-1.5	1.36015	[-3, -1, -3, -2, 2, -1, -1, -2, -2, -2]
leak	-1.4	0.66332	[-1, -2, -1, -1, -1, -1, -1, -2, -3, -1]
leaked	-1.3	0.78102	[-2, -2, -1, -3, -1, 0, -1, -1, -1, -1]
leave	-0.2	0.9798	[1, -1, -1, 0, 0, -1, 2, -1, 0, -1]
leet	1.3	1.48661	[2, 4, 2, 2, 0, 1, -2, 2, 1, 1]
legal	0.5	0.80623	[0, 0, 0, 2, 0, 1, 0, 0, 2, 0]
legally	0.4	0.8	[1, 0, 0, 0, 1, 0, 2, 1, 0, -1]
lenient	1.1	1.04403	[1, 3, 1, 2, 1, 1, 2, -1, 0, 1]
lethargic	-1.2	0.74833	[-2, -1, -2, -2, 0, -1, -1, -2, 0, -1]
lethargy	-1.4	0.91652	[-1, 0, -2, -1, -2, 0, -2, -1, -3, -2]
liabilities	-0.8	0.9798	[-1, 2, -1, -1, -1, -1, -1, -1, -2, -1]
liability	-0.8	1.83303	[-2, -3, -1, -1, 3, -3, -1, -1, 2, -1]
liar	-2.3	0.78102	[-1, -2, -3, -3, -2, -2, -3, -1, -3, -3]
liards	-0.4	0.91652	[-2, 0, -1, 0, 0, 1, 0, 0, -2, 0]
liars	-2.4	0.66332	[-3, -2, -2, -3, -2, -1, -3, -3, -2, -3]
libelous	-2.1	1.3	[-3, -1, -1, -2, 1, -3, -3, -3, -3, -3]
libertarian	0.9	0.9434	[1, 2, 0, 1, 0, 0, 0, 3, 1, 1]
libertarianism	0.4	0.8	[0, 0, 2, 0, 2, 0, 0, 0, 0, 0]
libertarianisms	0.1	1.13578	[0, 0, 0, 2, 2, 0, -2, 0, -1, 0]
libertarians	0.1	0.83066	[0, 0, 1, 0, 0, -1, -1, 0, 2, 0]
liberties	2.3	0.78102	[2, 4, 3, 2, 2, 1, 2, 3, 2, 2]
libertinage	0.2	1.53623	[-1, -1, 0, 0, 4, 0, -2, 1, 1, 0]
libertine	-0.9	1.44568	[0, -1, 0, 0, -1, -3, 2, -2, -1, -3]
libertines	0.4	1.35647	[-1, 3, -1, -1, 1, 1, 1, 2, 0, -1]
libertinisms	1.2	1.249	[0, 0, 3, 1, 1, 1, 4, 0, 1, 1]
liberty	2.4	0.91652	[2, 2, 3, 3, 3, 3, 2, 4, 1, 1]
lied	-1.6	1.2	[-3, 0, -3, 1, -2, -1, -2, -2, -2, -2]
lies	-1.8	0.9798	[-1, -1, -1, 0, -2, -3, -3, -2, -3, -2]
lifesaver	2.8	0.74833	[3, 3, 4, 2, 3, 1, 3, 3, 3, 3]
lighthearted	1.8	0.4	[2, 2, 2, 2, 1, 2, 2, 1, 2, 2]
like	1.5	0.67082	[1, 2, 2, 2, 1, 3, 1, 1, 1, 1]
likeable	2.0	0.63246	[1, 3, 2, 2, 2, 3, 2, 1, 2, 2]
liked	1.8	0.6	[2, 2, 1, 2, 2, 1, 3, 1, 2, 2]
likes	1.8	0.6	[2, 2, 1, 2, 2, 2, 3, 1, 1, 2]
liking	1.7	0.78102	[3, 1, 2, 1, 1, 2, 3, 1, 2, 1]
limitation	-1.2	0.6	[-2, -1, 0, -1, -1, -2, -1, -2, -1, -1]
limited	-0.9	0.53852	[-1, -1, 0, -2, -1, 0, -1, -1, -1, -1]
litigation	-0.8	0.6	[0, -2, -1, 0, -1, -1, -1, -1, 0, -1]
litigious	-0.8	0.9798	[-2, -1, 0, -2, 0, -2, 1, -1, 0, -1]
livelier	1.7	0.78102	[2, 2, 1, 3, 1, 3, 2, 1, 1, 1]
liveliest	2.1	0.9434	[2, 1, 2, 3, 1, 1, 2, 4, 3, 2]
livelihood	0.8	1.07703	[0, 3, 1, 0, 2, 2, 0, 0, 0, 0]
livelihoods	0.9	1.13578	[0, 0, 0, 3, 2, 2, 0, 2, 0, 0]
livelily	1.8	0.6	[2, 2, 2, 3, 1, 2, 1, 2, 2, 1]
liveliness	1.6	0.8	[1, 3, 0, 2, 2, 2, 2, 2, 1, 1]
livelong	1.7	0.78102	[3, 0, 1, 1, 2, 2, 2, 2, 2, 2]
lively	1.9	0.7	[2, 2, 3, 1, 1, 2, 3, 1, 2, 2]
livid	-2.5	0.92195	[-2, -3, -1, -2, -4, -3, -1, -3, -3, -3]
lmao	2.9	0.9434	[3, 4, 3, 1, 2, 4, 3, 3, 2, 4]
loathe	-2.2	2.08806	[-1, -4, -3, -2, -4, 2, 1, -3, -4, -4]
loathed	-2.1	1.44568	[-4, -3, -3, -3, -1, 1, -1, -1, -3, -3]
loathes	-1.9	1.13578	[-1, -4, -1, -3, -3, -1, -1, -3, -1, -1]
loathing	-2.7	0.78102	[-3, -3, -3, -1, -4, -2, -3, -3, -2, -3]
lobby	0.1	0.53852	[0, 0, 0, 1, 0, 1, 0, -1, 0, 0]
lobbying	-0.3	0.45826	[0, -1, 0, 0, 0, 0, 0, -1, -1, 0]
lol	1.8	1.46969	[1, 3, 4, 1, 2, 4, 1, 2, -1, 1]
lone	-1.1	0.3	[-1, -1, -1, -1, -1, -1, -2, -1, -1, -1]
lonelier	-1.4	0.66332	[-2, -1, -2, -2, 0, -2, -1, -1, -1, -2]
loneliest	-2.4	0.8	[-3, -1, -2, -4, -2, -2, -3, -3, -2, -2]
loneliness	-1.8	0.6	[-2, -2, -1, -3, -2, -2, -1, -2, -1, -2]
lonelinesses	-1.5	1.36015	[-2, -2, -1, -1, 2, -1, -3, -2, -3, -2]
lonely	-1.5	0.5	[-1, -2, -2, -1, -1, -1, -1, -2, -2, -2]
loneness	-1.1	0.83066	[-1, -2, -1, -2, -1, -1, -2, 1, -1, -1]
loner	-1.3	0.45826	[-1, -2, -1, -1, -1, -1, -1, -2, -2, -1]
loners	-0.9	0.53852	[-1, -1, -2, -1, -1, -1, 0, 0, -1, -1]
lonesome	-1.5	0.67082	[-2, -1, -2, -1, -2, -1, -2, 0, -2, -2]
lonesomely	-1.3	1.00499	[-2, -2, -2, -2, -1, -2, 0, -2, -1, 1]
lonesomeness	-1.8	0.6	[-2, -2, -1, -3, -1, -2, -2, -2, -1, -2]
lonesomes	-1.4	0.4899	[-2, -1, -1, -1, -1, -1, -2, -2, -2, -1]
longing	-0.1	0.9434	[0, -1, 0, -1, -1, 0, 2, -1, 1, 0]
longingly	0.7	0.45826	[1, 0, 1, 0, 1, 1, 1, 0, 1, 1]
longings	0.4	1.2	[2, 0, -1, -1, 0, 1, 3, 0, 0, 0]
loom	-0.9	0.53852	[-1, -1, -1, -1, -1, -2, 0, -1, -1, 0]
loomed	-1.1	1.04403	[-2, -2, -1, -1, -1, -1, 0, -1, -3, 1]
looming	-0.5	1.5	[-2, -1, -1, 0, -2, -2, 3, -1, 0, 1]
looms	-0.6	1.0198	[-1, -2, -1, -1, 0, 0, 1, -2, 1, -1]
loose	-1.3	1.18743	[-2, -1, 0, -2, 0, -1, 0, -2, -4, -1]
looses	-0.6	0.91652	[0, -1, 0, -1, 0, 0, 0, 0, -3, -1]
lose	-1.7	0.45826	[-1, -2, -1, -2, -1, -2, -2, -2, -2, -2]
loser	-2.4	0.66332	[-3, -2, -2, -2, -2, -3, -3, -1, -3, -3]
losers	-2.4	0.8	[-3, -1, -2, -2, -4, -2, -3, -3, -2, -2]
loses	-1.3	1.00499	[0, -1, -1, -1, -1, -4, -1, -1, -2, -1]
losing	-1.6	0.8	[-1, -1, -1, -2, -1, -2, -3, -3, -1, -1]
loss	-1.3	0.45826	[-1, -2, -1, -1, -1, -2, -2, -1, -1, -1]
losses	-1.7	0.9	[-2, -1, -2, -3, 0, -1, -3, -1, -2, -2]
lossy	-1.2	0.87178	[-2, -2, -1, -2, 0, 0, 0, -1, -2, -2]
lost	-1.3	0.45826	[-1, -1, -2, -1, -1, -2, -2, -1, -1, -1]
louse	-1.6	1.2	[-1, -1, -3, -4, 0, -3, -1, -1, -1, -1]
loused	-1.0	0.7746	[-1, -1, -1, -1, 0, 0, -2, 0, -2, -2]
louses	-1.3	0.78102	[-2, -1, -2, -1, -1, 0, -2, 0, -2, -2]
lousewort	0.1	1.3	[-2, -2, 1, 0, 0, 0, 0, 2, 2, 0]
louseworts	-0.6	0.66332	[0, 0, 0, -2, 0, -1, 0, -1, -1, -1]
lousier	-2.2	0.4	[-2, -3, -2, -2, -3, -2, -2, -2, -2, -2]
lousiest	-2.6	0.8	[-4, -2, -3, -3, -1, -2, -3, -3, -2, -3]
lousily	-1.2	0.9798	[-1, -1, -2, -2, -2, -2, 0, -1, 1, -2]
lousiness	-1.7	0.64031	[-2, -2, -1, -1, -2, -2, -3, -2, -1, -1]
lousing	-1.1	0.9434	[-3, 0, 0, 0, -1, -2, -1, -2, -1, -1]
lousy	-2.5	0.67082	[-2, -4, -2, -3, -2, -3, -2, -2, -3, -2]
lovable	3.0	0.63246	[3, 3, 3, 4, 3, 2, 3, 3, 2, 4]
love	3.2	0.4	[3, 3, 3, 3, 3, 3, 3, 4, 4, 3]
loved	2.9	0.7	[3, 3, 4, 2, 2, 4, 3, 2, 3, 3]
lovelies	2.2	0.74833	[3, 3, 3, 1, 2, 2, 3, 2, 1, 2]
lovely	2.8	0.6	[2, 3, 3, 3, 2, 3, 4, 3, 2, 3]
lover	2.8	0.87178	[3, 1, 2, 3, 4, 3, 2, 3, 4, 3]
loverly	2.8	0.74833	[3, 2, 4, 3, 3, 2, 3, 2, 2, 4]
lovers	2.4	1.11355	[2, 3, 2, 4, 4, 1, 1, 3, 3, 1]
loves	2.7	0.9	[3, 3, 3, 2, 2, 4, 4, 2, 1, 3]
loving	2.9	0.53852	[3, 2, 3, 3, 3, 2, 4, 3, 3, 3]
lovingly	3.2	0.6	[3, 3, 3, 4, 4, 4, 2, 3, 3, 3]
lovingness	2.7	1.67631	[4, 4, 3, 3, 2, 3, -2, 4, 3, 3]
low	-1.1	0.53852	[-1, -1, -1, -1, -1, -2, -1, -2, 0, -1]
lowball	-0.8	0.87178	[-1, -2, 0, -2, -1, -1, 0, 1, -1, -1]
lowballed	-1.5	0.67082	[-2, 0, -1, -1, -2, -2, -1, -2, -2, -2]
lowballing	-0.7	0.78102	[-2, -1, -1, 1, 0, -1, -1, 0, -1, -1]
lowballs	-1.2	0.74833	[-1, -1, -1, -1, -3, -1, -2, 0, -1, -1]
lowborn	-0.7	1.1	[-1, 0, -1, 0, -2, -1, -2, -1, -1, 2]
lowboys	-0.6	1.0198	[-1, 0, 0, 0, -3, -1, 1, 0, -1, -1]
lowbred	-2.6	1.0198	[-2, -1, -2, -4, -2, -2, -4, -4, -3, -2]
lowbrow	-1.9	0.7	[-1, -3, -1, -2, -2, -2, -1, -3, -2, -2]
lowbrows	-0.6	0.66332	[0, 0, -1, 0, -2, -1, -1, 0, 0, -1]
lowdown	-0.8	0.9798	[-1, -1, 0, 0, 0, -2, -3, 0, -1, 0]
lowdowns	-0.2	0.4	[0, 0, 0, -1, 0, 0, 0, 0, -1, 0]
lowe	0.5	0.80623	[0, 0, 0, 0, 0, 1, 0, 0, 2, 2]
lowed	-0.8	0.6	[0, -1, -1, -2, -1, 0, -1, 0, -1, -1]
lower	-1.2	0.87178	[0, -2, -1, -1, -2, 0, -2, 0, -2, -2]
lowercase	0.3	0.45826	[0, 0, 0, 0, 1, 0, 1, 0, 1, 0]
lowercased	-0.2	0.4	[0, -1, 0, 0, 0, 0, -1, 0, 0, 0]
lowerclassman	-0.4	0.4899	[0, -1, -1, -1, 0, 0, 0, 0, 0, -1]
lowered	-0.5	1.11803	[-1, -1, -2, -1, -1, 2, -1, -1, 1, 0]
lowering	-1.0	0.7746	[0, -1, -1, -1, -1, 0, -3, -1, -1, -1]
lowermost	-1.4	1.11355	[-1, -1, -3, -1, -1, -1, -2, -3, 1, -2]
lowers	-0.5	0.5	[-1, -1, 0, -1, 0, 0, 0, -1, -1, 0]
lowery	-1.8	0.87178	[-1, -1, -2, -3, -1, -2, -3, -3, -1, -1]
lowest	-1.6	0.4899	[-2, -2, -2, -2, -1, -2, -1, -1, -1, -2]
lowing	-0.5	0.67082	[0, 0, 0, -1, 0, 0, -1, -2, -1, 0]
lowish	-0.9	0.53852	[-2, -1, -1, 0, -1, 0, -1, -1, -1, -1]
lowland	-0.1	0.3	[0, 0, -1, 0, 0, 0, 0, 0, 0, 0]
lowlander	-0.4	0.66332	[0, 0, 0, 0, 0, 0, -1, -1, -2, 0]
lowlanders	-0.3	0.64031	[0, 0, 0, -2, 0, -1, 0, 0, 0, 0]
lowlands	-0.1	0.7	[0, -1, -1, 0, -1, 1, 0, 1, 0, 0]
lowlier	-1.7	0.78102	[-2, -2, -2, -3, -1, -2, -2, -1, 0, -2]
lowliest	-1.8	1.6	[-1, -3, -3, -4, -2, -1, -1, 0, 1, -4]
lowlife	-1.5	0.67082	[-2, -2, -2, -1, -1, -2, -1, 0, -2, -2]
lowlifes	-2.2	1.249	[-3, -2, -3, -4, -2, 1, -2, -3, -2, -2]
lowlight	-2.0	1.26491	[-3, -2, -1, -3, 1, -2, -1, -3, -3, -3]
lowlights	-0.3	0.78102	[0, 0, -1, 1, -2, -1, 0, 0, 0, 0]
lowlihead	-0.3	1.34536	[-1, -1, 1, -3, 0, 0, 1, -1, 2, -1]
lowliness	-1.1	0.53852	[-1, -2, -1, -2, -1, -1, -1, 0, -1, -1]
lowlinesses	-1.2	1.07703	[-3, -1, -2, -2, 0, -1, -1, -1, -2, 1]
lowlives	-2.1	0.7	[-2, -3, -3, -2, -1, -2, -3, -2, -1, -2]
lowly	-1.0	1.34164	[-1, -2, -1, -2, 2, -2, -1, 1, -2, -2]
lown	0.9	1.13578	[2, 2, 1, -1, 0, 1, 2, -1, 1, 2]
lowness	-1.3	0.45826	[-1, -2, -2, -1, -1, -2, -1, -1, -1, -1]
lowrider	-0.2	0.4	[0, 0, 0, -1, -1, 0, 0, 0, 0, 0]
lowriders	0.1	0.53852	[0, 0, 0, 0, 1, 0, -1, 0, 1, 0]
lows	-0.8	0.9798	[0, -1, -1, -1, 0, 1, -3, -1, -1, -1]
lowse	-0.7	0.78102	[0, -1, 1, -1, -1, -1, 0, -1, -2, -1]
loyal	2.1	0.7	[3, 2, 1, 1, 2, 2, 3, 2, 3, 2]
loyalism	1.0	0.89443	[1, 2, 1, -1, 0, 1, 2, 1, 1, 2]
loyalisms	0.9	0.83066	[2, 0, 0, 1, 1, 0, 2, 2, 1, 0]
loyalist	1.5	0.92195	[1, 0, 2, 2, 3, 0, 2, 2, 1, 2]
loyalists	1.1	0.83066	[1, 1, 1, 3, 0, 2, 1, 0, 1, 1]
loyally	2.1	0.7	[3, 2, 2, 2, 1, 3, 1, 2, 3, 2]
loyalties	1.9	0.7	[3, 1, 2, 2, 2, 3, 2, 1, 1, 2]
loyalty	2.5	0.67082	[1, 3, 3, 3, 3, 2, 2, 2, 3, 3]
luck	2.0	0.63246	[2, 2, 1, 3, 3, 2, 1, 2, 2, 2]
lucked	1.9	0.7	[2, 2, 2, 1, 1, 2, 3, 3, 1, 2]
luckie	1.6	0.66332	[1, 1, 1, 2, 2, 1, 1, 2, 2, 3]
luckier	1.9	0.7	[1, 3, 1, 2, 2, 1, 2, 3, 2, 2]
luckiest	2.9	0.7	[3, 3, 4, 2, 2, 4, 3, 3, 2, 3]
luckily	2.3	0.45826	[2, 2, 3, 2, 2, 3, 2, 2, 2, 3]
luckiness	1.0	1.61245	[2, 2, 1, -2, 3, 1, 1, 2, 2, -2]
lucking	1.2	0.6	[2, 1, 1, 0, 1, 1, 1, 2, 2, 1]
luckless	-1.3	0.45826	[-2, -1, -2, -1, -1, -1, -2, -1, -1, -1]
lucks	1.6	0.91652	[0, 3, 1, 1, 3, 2, 2, 1, 2, 1]
lucky	1.8	0.74833	[2, 1, 1, 1, 3, 2, 1, 2, 2, 3]
ludicrous	-1.5	1.36015	[2, -2, -2, -1, -1, -1, -3, -3, -2, -2]
ludicrously	-0.2	1.83303	[3, -1, 0, -2, -1, 0, 3, -3, -1, 0]
ludicrousness	-1.9	1.57797	[-1, 2, -2, -3, -2, -2, -3, -4, -1, -3]
lugubrious	-2.1	1.37477	[-3, -2, -3, -3, -3, 1, -2, -3, 0, -3]
lulz	2.0	1.0	[2, 2, 2, 3, 4, 1, 3, 1, 1, 1]
lunatic	-2.2	1.32665	[-2, -3, -4, -2, -3, -2, -1, -3, 1, -3]
lunatics	-1.6	1.95959	[-4, -2, -3, -4, -2, 2, -1, -3, 1, 0]
lurk	-0.8	0.87178	[-1, -1, 0, -3, -1, 0, -1, 0, -1, 0]
lurking	-0.5	1.11803	[1, -1, -1, 0, -1, -2, 1, -2, 1, -1]
lurks	-0.9	1.04403	[-1, -1, -1, -2, -2, -1, -1, -1, 2, -1]
lying	-2.4	0.8	[-2, -4, -3, -1, -2, -2, -3, -2, -2, -3]
mad	-2.2	0.74833	[-3, -3, -1, -1, -2, -3, -2, -2, -3, -2]
maddening	-2.2	0.74833	[-3, -3, -1, -1, -3, -2, -2, -3, -2, -2]
madder	-1.2	1.16619	[-2, 0, -3, 0, 0, -1, -3, -1, -2, 0]
maddest	-2.8	1.16619	[-4, -4, -4, -4, -1, -3, -2, -1, -2, -3]
madly	-1.7	1.1	[-2, 0, -2, -2, -2, -1, -4, -2, 0, -2]
madness	-1.9	0.53852	[-1, -2, -1, -3, -2, -2, -2, -2, -2, -2]
magnific	2.3	1.1	[2, 2, 0, 2, 4, 4, 2, 2, 3, 2]
magnifical	2.4	1.28062	[1, 4, 1, 2, 4, 3, 1, 1, 4, 3]
magnifically	2.4	1.2	[3, 3, 3, 2, 4, 0, 1, 2, 2, 4]
magnification	1.0	0.89443	[2, 3, 1, 0, 0, 1, 1, 1, 0, 1]
magnifications	1.2	1.249	[-1, 0, 0, 2, 2, 2, 0, 2, 3, 2]
magnificence	2.4	1.0198	[3, 2, 1, 3, 2, 1, 4, 4, 2, 2]
magnificences	2.3	0.9	[3, 4, 3, 1, 3, 2, 1, 2, 2, 2]
magnificent	2.9	0.7	[2, 4, 2, 4, 3, 3, 3, 3, 2, 3]
magnificently	3.4	0.66332	[3, 3, 3, 4, 4, 2, 4, 4, 3, 4]
magnifico	1.8	0.87178	[2, 1, 1, 2, 1, 1, 3, 3, 3, 1]
magnificoes	1.4	0.8	[2, 2, 0, 2, 1, 1, 3, 1, 1, 1]
mandatory	0.3	0.9	[1, 0, -1, 0, -1, 0, 1, 2, 0, 1]
maniac	-2.1	0.7	[-1, -2, -2, -2, -3, -3, -1, -2, -2, -3]
maniacal	-0.3	1.73494	[2, -1, -3, -3, 0, 2, -1, 1, 1, -1]
maniacally	-1.7	0.78102	[-1, -2, -1, -2, -3, -2, -1, -3, -1, -1]
maniacs	-1.2	1.8868	[-3, 1, -2, 1, -3, -2, 0, 2, -3, -3]
manipulated	-1.6	0.4899	[-2, -1, -1, -2, -1, -2, -2, -1, -2, -2]
manipulating	-1.5	0.80623	[-1, -1, -1, -2, -2, -1, -2, -2, -3, 0]
manipulation	-1.2	1.72047	[2, -3, -2, -3, -1, -1, -2, 2, -2, -2]
marvel	1.8	0.6	[2, 1, 1, 2, 1, 2, 3, 2, 2, 2]
marvelous	2.9	0.7	[2, 2, 3, 2, 3, 3, 4, 3, 4, 3]
marvels	2.0	0.89443	[3, 1, 1, 3, 1, 2, 1, 2, 3, 3]
masochism	-1.6	1.11355	[-1, 0, -2, -2, -2, -2, 0, -4, -1, -2]
masochisms	-1.1	1.57797	[3, -3, -2, -2, -1, -1, -2, -1, 0, -2]
masochist	-1.7	0.9	[-1, 0, -3, -1, -2, -2, -2, -2, -1, -3]
masochistic	-2.2	1.16619	[-1, -1, -1, -2, -3, -2, -4, -3, -4, -1]
masochistically	-1.6	1.35647	[-1, -1, -3, -3, -3, -3, 0, -2, 1, -1]
masochists	-1.2	1.07703	[1, -2, 0, -2, -3, -1, -2, -1, -1, -1]
masterpiece	3.1	0.83066	[3, 4, 4, 4, 2, 2, 2, 4, 3, 3]
masterpieces	2.5	0.67082	[2, 2, 3, 2, 2, 2, 4, 3, 3, 2]
matter	0.1	0.3	[0, 0, 0, 0, 0, 0, 0, 1, 0, 0]
matters	0.1	0.3	[0, 0, 0, 0, 1, 0, 0, 0, 0, 0]
mature	1.8	0.4	[2, 2, 2, 2, 2, 1, 2, 2, 1, 2]
meaningful	1.3	0.9	[0, 0, 2, 1, 1, 3, 1, 2, 2, 1]
meaningless	-1.9	0.7	[-1, -2, -2, -2, -1, -1, -2, -3, -3, -2]
medal	2.1	1.22066	[2, 4, 3, 1, 0, 2, 2, 2, 1, 4]
mediocrity	-0.3	1.1	[-1, 0, -2, 0, -1, 2, -1, -1, 0, 1]
meditative	1.4	0.66332	[2, 0, 1, 2, 2, 1, 2, 1, 2, 1]
meh	-0.3	0.78102	[-1, 0, -1, 0, -1, -1, 1, 0, 1, -1]
melancholia	-0.5	1.28452	[0, -2, -2, 0, 1, -1, 2, -2, 0, -1]
melancholiac	-2.0	0.63246	[-2, -2, -3, -2, -2, -3, -1, -1, -2, -2]
melancholias	-1.6	0.8	[-1, -2, -3, -2, 0, -2, -1, -1, -2, -2]
melancholic	-0.3	1.18743	[0, 2, -2, 0, 1, -1, 0, -2, 0, -1]
melancholics	-1.0	1.0	[0, -1, -3, 1, -1, -2, -1, -1, -1, -1]
melancholies	-1.1	0.83066	[-1, 0, -1, 0, -3, -1, -2, -1, -1, -1]
melancholy	-1.9	1.13578	[-3, -2, -3, -2, -3, -2, -2, 1, -1, -2]
menace	-2.2	0.87178	[-3, -3, -2, -1, -1, -2, -3, -1, -3, -3]
menaced	-1.7	1.48661	[-3, -2, -2, -3, -3, -1, 1, -3, 1, -2]
mercy	1.5	0.67082	[1, 2, 1, 1, 1, 3, 2, 2, 1, 1]
merit	1.8	0.74833	[2, 2, 2, 2, 0, 2, 3, 2, 2, 1]
merited	1.4	0.4899	[1, 2, 2, 1, 1, 1, 2, 1, 2, 1]
meriting	1.1	1.13578	[1, 2, 1, -2, 1, 1, 2, 2, 1, 2]
meritocracy	0.6	1.35647	[2, 4, 0, 0, 1, -1, 0, 0, 0, 0]
meritocrat	0.4	0.8	[0, 0, 0, 1, -1, 0, 0, 1, 2, 1]
meritocrats	1.1	1.13578	[2, 1, 1, 0, 0, 1, 1, 4, 0, 1]
meritorious	2.1	0.53852	[3, 2, 2, 2, 2, 2, 2, 2, 3, 1]
meritoriously	1.3	1.95192	[3, -1, 3, -2, 2, 0, -1, 3, 3, 3]
meritoriousness	1.7	1.18743	[4, 1, 2, 1, 2, 0, 3, 2, 2, 0]
merits	1.7	0.78102	[1, 3, 1, 1, 2, 2, 1, 1, 3, 2]
merrier	1.7	1.41774	[3, 2, 2, 3, 2, 2, -1, -1, 3, 2]
merriest	2.7	1.41774	[3, 4, 4, 4, 2, 3, -1, 2, 3, 3]
merrily	2.4	0.66332	[3, 3, 2, 2, 2, 3, 2, 3, 1, 3]
merriment	2.4	1.35647	[1, 3, 3, 4, 2, -1, 3, 3, 3, 3]
merriments	2.0	0.89443	[2, 2, 3, 3, 0, 2, 2, 1, 2, 3]
merriness	2.2	0.74833	[2, 1, 2, 3, 2, 2, 3, 3, 1, 3]
merry	2.5	0.80623	[2, 4, 2, 2, 3, 3, 3, 3, 2, 1]
merrymaker	2.2	1.4	[3, 1, 3, 3, 3, -1, 2, 1, 3, 4]
merrymakers	1.7	1.34536	[1, 4, 1, 3, 1, 3, -1, 2, 1, 2]
merrymaking	2.2	0.6	[3, 2, 2, 2, 2, 1, 3, 3, 2, 2]
merrymakings	2.4	1.11355	[3, 3, 2, 3, 4, 2, 0, 3, 1, 3]
merrythought	1.1	0.9434	[1, 1, 3, 0, 2, 0, 0, 1, 2, 1]
merrythoughts	1.6	1.11355	[1, 3, 2, 1, 2, 1, 0, 3, 3, 0]
mess	-1.5	0.92195	[-1, -3, -1, -1, -3, -1, -2, -1, 0, -2]
messed	-1.4	0.8	[-2, -1, -1, -3, 0, -2, -2, -1, -1, -1]
messy	-1.5	0.80623	[-1, -2, -2, -2, -1, -1, -2, 0, -1, -3]
methodical	0.6	0.8	[0, 0, 0, 2, 2, 0, 1, 1, 0, 0]
mindless	-1.9	0.7	[-2, -1, -2, -1, -1, -2, -3, -3, -2, -2]
miracle	2.8	0.87178	[4, 4, 3, 2, 3, 4, 2, 2, 2, 2]
mirth	2.6	0.66332	[3, 3, 3, 2, 3, 3, 3, 2, 1, 3]
mirthful	2.7	0.45826	[3, 3, 3, 2, 3, 3, 3, 2, 3, 2]
mirthfully	2.0	1.48324	[2, 3, 4, 3, 0, -1, 2, 1, 3, 3]
misbehave	-1.9	0.7	[-3, -3, -1, -2, -2, -1, -1, -2, -2, -2]
misbehaved	-1.6	0.4899	[-1, -2, -1, -2, -2, -2, -1, -2, -1, -2]
misbehaves	-1.6	0.4899	[-1, -2, -2, -1, -2, -2, -1, -2, -1, -2]
misbehaving	-1.7	0.64031	[-1, -2, -1, -2, -3, -2, -1, -2, -1, -2]
mischief	-1.5	0.67082	[-2, -1, -1, -1, -1, -2, -3, -2, -1, -1]
mischiefs	-0.8	1.72047	[-2, -1, -2, -2, 3, -1, -2, 2, -1, -2]
miser	-1.8	0.87178	[-1, -2, 0, -3, -2, -2, -3, -2, -2, -1]
miserable	-2.2	1.32665	[-2, -2, -3, -3, -4, -3, -1, -2, 1, -3]
miserableness	-2.8	0.6	[-3, -3, -3, -3, -2, -2, -3, -4, -2, -3]
miserably	-2.1	1.37477	[-2, -1, -3, -3, -4, -3, -1, -2, 1, -3]
miserere	-0.8	1.07703	[-1, -1, 0, -3, 0, -1, 0, 1, -2, -1]
misericorde	0.1	1.64012	[1, 1, -1, 2, 1, 2, -3, -1, -2, 1]
misericordes	-0.5	1.36015	[0, 0, -1, 0, 0, 1, -3, 0, 1, -3]
miseries	-2.7	0.78102	[-3, -4, -1, -2, -3, -3, -2, -3, -3, -3]
miserliness	-2.6	1.0198	[-3, -1, -3, -2, -2, -1, -3, -4, -4, -3]
miserly	-1.4	0.91652	[0, -2, -2, 0, -1, -2, -2, -1, -3, -1]
misers	-1.5	0.92195	[0, -1, -1, -3, -1, -1, -2, -3, -2, -1]
misery	-2.7	0.45826	[-2, -2, -3, -3, -2, -3, -3, -3, -3, -3]
misgiving	-1.4	0.4899	[-2, -2, -2, -1, -1, -1, -2, -1, -1, -1]
misinformation	-1.3	0.64031	[-1, -1, -1, -1, -1, -1, -2, -1, -1, -3]
misinformed	-1.6	0.4899	[-1, -1, -1, -2, -2, -1, -2, -2, -2, -2]
misinterpreted	-1.3	0.64031	[-1, -2, -1, 0, -2, -1, -1, -1, -2, -2]
misleading	-1.7	0.64031	[-2, -1, -3, -1, -1, -2, -2, -2, -1, -2]
misread	-1.1	0.3	[-1, -1, -1, -2, -1, -1, -1, -1, -1, -1]
misreporting	-1.5	0.5	[-2, -1, -1, -1, -2, -1, -2, -2, -1, -2]
misrepresentation	-2.0	0.63246	[-2, -3, -2, -1, -1, -3, -2, -2, -2, -2]
miss	-0.6	1.35647	[-1, -1, -1, -1, -2, -1, 2, 2, -2, -1]
missed	-1.2	0.74833	[-2, -1, 0, -1, -1, -1, -3, -1, -1, -1]
misses	-0.9	0.3	[-1, -1, 0, -1, -1, -1, -1, -1, -1, -1]
missing	-1.2	0.4	[-1, -2, -1, -1, -1, -1, -2, -1, -1, -1]
mistakable	-0.8	0.4	[-1, -1, -1, -1, -1, -1, -1, 0, 0, -1]
mistake	-1.4	0.4899	[-1, -2, -1, -1, -1, -1, -2, -2, -2, -1]
mistaken	-1.5	0.67082	[-2, -1, -2, -2, -1, -1, -1, -3, -1, -1]
mistakenly	-1.2	0.4	[-1, -1, -2, -1, -1, -1, -1, -2, -1, -1]
mistaker	-1.6	0.4899	[-2, -1, -2, -1, -2, -2, -1, -2, -1, -2]
mistakers	-1.6	0.8	[-3, -1, -1, -1, -3, -1, -1, -2, -2, -1]
mistakes	-1.5	0.67082	[-2, -1, -2, -1, -3, -2, -1, -1, -1, -1]
mistaking	-1.1	0.53852	[-1, -1, -1, -1, 0, -1, -1, -1, -2, -2]
misunderstand	-1.5	0.67082	[-3, -2, -1, -1, -1, -1, -1, -2, -2, -1]
misunderstanding	-1.8	0.6	[-1, -1, -1, -3, -2, -2, -2, -2, -2, -2]
misunderstands	-1.3	0.45826	[-1, -2, -1, -2, -1, -1, -2, -1, -1, -1]
misunderstood	-1.4	0.66332	[-1, -1, -1, -3, -1, -1, -2, -1, -2, -1]
mlm	-1.4	1.68523	[0, -2, -2, -3, -4, -2, 0, 1, 1, -3]
mmk	0.6	1.0198	[0, 0, 0, 0, 0, 3, 1, 0, 0, 2]
moan	-0.6	1.62481	[-2, -1, 0, -3, 2, -2, 0, 0, -2, 2]
moaned	-0.4	1.35647	[-2, 0, -3, 0, -1, -1, 2, 1, 0, 0]
moaning	-0.4	1.28062	[-1, -1, 1, -1, 0, 0, 2, 0, -3, -1]
moans	-0.6	0.8	[-2, 0, 0, -2, 0, -1, 0, 0, 0, -1]
mock	-1.8	0.74833	[-3, -1, -1, -2, -2, -1, -3, -1, -2, -2]
mocked	-1.3	1.26886	[-2, -2, -1, -2, -2, -3, -2, 1, 1, -1]
mocker	-0.8	1.46969	[-1, -2, 2, -2, -2, -2, -2, 1, 1, -1]
mockeries	-1.6	0.8	[-3, -1, -2, -2, -2, 0, -1, -2, -1, -2]
mockers	-1.3	0.78102	[-2, -3, 0, -1, -1, -1, -2, -1, -1, -1]
mockery	-1.3	0.45826	[-2, -1, -1, -1, -1, -1, -2, -2, -1, -1]
mocking	-1.7	0.64031	[-2, -1, -1, -2, -1, -1, -3, -2, -2, -2]
mocks	-2.0	0.63246	[-1, -3, -2, -2, -2, -2, -2, -1, -3, -2]
molest	-2.1	1.81384	[-4, -1, -2, -4, -3, 1, -3, 1, -2, -4]
molestation	-1.9	1.57797	[-2, -2, -3, -2, -3, -2, -4, 1, 1, -3]
molestations	-2.9	1.04403	[-3, -4, -4, -4, -3, -2, -2, -1, -2, -4]
molested	-1.9	1.92094	[-4, 1, -1, -4, -2, -1, -4, -4, 1, -1]
molester	-2.3	1.61555	[-4, -2, -1, -4, -2, -1, -4, -4, 1, -2]
molesters	-2.2	1.66132	[-2, -4, -3, -3, -3, 1, 1, -3, -3, -3]
molesting	-2.8	1.72047	[-4, -4, -4, -4, -3, -4, -1, -1, 1, -4]
molests	-3.1	1.13578	[-3, -4, -4, -4, -3, -4, 0, -3, -3, -3]
mongering	-0.8	1.16619	[-3, -2, 0, 0, -1, 1, -2, 0, -1, 0]
monopolize	-0.8	1.6	[-1, -3, -2, -2, 0, -1, -1, -2, 2, 2]
monopolized	-0.9	0.53852	[0, -2, -1, 0, -1, -1, -1, -1, -1, -1]
monopolizes	-1.1	0.83066	[0, -3, -1, 0, -1, -1, -2, -1, -1, -1]
monopolizing	-0.5	1.56525	[2, -1, -2, -1, -3, -1, -1, 2, 1, -1]
mooch	-1.7	0.9	[-1, -1, -1, -3, -1, -3, -3, -2, -1, -1]
mooched	-1.4	0.4899	[-2, -1, -2, -1, -1, -2, -1, -1, -2, -1]
moocher	-1.5	0.67082	[-2, -1, -2, -1, -1, -2, -1, -1, -3, -1]
moochers	-1.9	0.7	[-3, -2, -2, -3, -1, -1, -1, -2, -2, -2]
mooches	-1.4	0.66332	[-2, -1, -2, -1, 0, -2, -1, -1, -2, -2]
mooching	-1.7	0.64031	[-3, -2, -1, -1, -2, -2, -1, -2, -1, -2]
moodier	-1.1	1.13578	[-2, -1, -1, -1, -2, -1, -2, 2, -1, -2]
moodiest	-2.1	0.9434	[-1, -2, -2, -2, -1, -2, -4, -3, -1, -3]
moodily	-1.3	0.45826	[-1, -1, -1, -1, -1, -2, -2, -1, -2, -1]
moodiness	-1.4	0.66332	[-2, -1, -2, -2, -1, 0, -2, -1, -1, -2]
moodinesses	-1.4	0.4899	[-2, -1, -1, -2, -1, -1, -1, -2, -2, -1]
moody	-1.5	0.67082	[-1, -1, -1, -2, -2, -3, -1, -1, -1, -2]
mope	-1.9	0.53852	[-2, -2, -1, -2, -2, -2, -2, -3, -1, -2]
moping	-1.0	1.48324	[-2, -2, -1, -1, 1, 2, -3, -2, 0, -2]
moron	-2.2	0.6	[-2, -1, -2, -3, -3, -2, -2, -3, -2, -2]
moronic	-2.7	0.64031	[-3, -3, -3, -3, -2, -4, -2, -3, -2, -2]
moronically	-1.4	1.8	[-4, -2, -1, 2, -2, -2, -3, -3, 0, 1]
moronity	-1.1	1.22066	[-2, -1, -2, -1, 0, -2, 2, -2, -2, -1]
morons	-1.3	1.1	[-1, -1, -1, 0, -3, -2, 0, 0, -2, -3]
motherfucker	-3.6	0.66332	[-3, -4, -4, -4, -4, -2, -4, -3, -4, -4]
motherfucking	-2.8	1.249	[-3, -1, -4, 0, -3, -3, -4, -4, -3, -3]
motivate	1.6	0.4899	[1, 1, 1, 1, 2, 2, 2, 2, 2, 2]
motivated	2.0	0.63246	[3, 3, 1, 2, 1, 2, 2, 2, 2, 2]
motivating	2.2	0.6	[2, 2, 3, 3, 3, 2, 2, 2, 1, 2]
motivation	1.4	0.66332	[1, 1, 2, 0, 2, 1, 2, 1, 2, 2]
mourn	-1.8	0.6	[-2, -2, -2, -2, -2, -1, -2, -3, -1, -1]
mourned	-1.3	1.55242	[-1, -2, -3, -3, -2, -1, 1, -2, 2, -2]
mourner	-1.6	1.35647	[-3, 0, -2, -1, -1, 0, -2, 0, -3, -4]
mourners	-1.8	0.74833	[-1, -2, -3, -1, -2, -1, -2, -1, -2, -3]
mournful	-1.6	1.62481	[-2, -3, -3, 2, -2, -3, -2, 1, -2, -2]
mournfuller	-1.9	0.9434	[-2, -3, -3, -3, 0, -2, -1, -2, -2, -1]
mournfully	-1.7	1.55242	[-4, -3, -2, -3, 1, -2, -2, -2, 1, -1]
mournfulness	-1.8	1.4	[-4, -3, 1, -3, -1, -2, 0, -2, -2, -2]
mourning	-1.9	1.04403	[-1, -1, -1, -1, -2, -3, -4, -3, -2, -1]
mourningly	-2.3	1.18743	[-3, -3, -3, -3, -2, -3, -2, 1, -2, -3]
mourns	-2.4	0.66332	[-2, -2, -3, -2, -3, -3, -3, -1, -2, -3]
muah	2.3	1.26886	[0, 3, 1, 2, 3, 1, 4, 4, 3, 2]
mumpish	-1.4	0.66332	[-1, -1, -2, -2, 0, -1, -2, -2, -1, -2]
murder	-3.7	0.64031	[-4, -4, -4, -4, -2, -4, -4, -4, -3, -4]
murdered	-3.4	0.66332	[-4, -3, -2, -3, -4, -4, -3, -3, -4, -4]
murderee	-3.2	0.6	[-3, -3, -2, -3, -4, -4, -3, -3, -4, -3]
murderees	-3.1	0.7	[-2, -4, -3, -4, -3, -2, -3, -3, -4, -3]
murderer	-3.6	0.4899	[-4, -3, -3, -3, -4, -4, -4, -3, -4, -4]
murderers	-3.3	0.78102	[-3, -4, -4, -4, -4, -2, -4, -3, -3, -2]
murderess	-2.2	1.72047	[-2, -2, -3, -4, -3, -3, -4, 1, 1, -3]
murderesses	-2.6	0.8	[-2, -4, -3, -4, -2, -2, -2, -2, -3, -2]
murdering	-3.3	0.78102	[-4, -2, -4, -3, -4, -3, -2, -4, -4, -3]
murderous	-3.2	0.74833	[-3, -3, -4, -3, -4, -4, -4, -2, -2, -3]
murderously	-3.1	0.9434	[-3, -4, -4, -4, -3, -4, -1, -2, -3, -3]
murderousness	-2.9	0.7	[-3, -3, -4, -2, -2, -2, -4, -3, -3, -3]
murders	-3.0	1.84391	[-4, -4, -4, 2, -4, -2, -4, -4, -2, -4]
n00b	-1.6	0.8	[-1, -3, -1, -2, -2, -2, -2, -2, -1, 0]
nag	-1.5	0.80623	[-1, -1, -3, -1, -3, -2, -1, -1, -1, -1]
nagana	-1.7	0.9	[-2, -2, 0, 0, -2, -3, -2, -2, -2, -2]
nagged	-1.7	0.45826	[-2, -1, -2, -1, -2, -2, -1, -2, -2, -2]
nagger	-1.8	0.4	[-2, -1, -2, -2, -2, -2, -1, -2, -2, -2]
naggers	-1.5	0.67082	[-1, -1, -2, -2, -2, -1, -1, -3, -1, -1]
naggier	-1.4	1.11355	[-2, -3, -2, -2, 1, -1, -2, -1, 0, -2]
naggiest	-2.4	0.91652	[-3, -2, -2, -1, -4, -2, -3, -3, -3, -1]
nagging	-1.7	0.64031	[-1, -1, -1, -1, -2, -2, -2, -2, -3, -2]
naggingly	-0.9	1.37477	[-2, 2, -1, -1, -1, -3, 1, -1, -1, -2]
naggy	-1.7	0.64031	[-2, -2, -1, -1, -3, -2, -1, -2, -1, -2]
nags	-1.1	0.53852	[-1, -1, -2, -1, -1, -2, -1, -1, 0, -1]
nah	-0.4	1.28062	[0, 0, 1, -1, -3, -1, 0, 2, -1, -1]
naive	-1.1	1.22066	[-2, -2, -1, 2, -1, -1, -1, -3, -1, -1]
nastic	0.2	0.6	[2, 0, 0, 0, 0, 0, 0, 0, 0, 0]
nastier	-2.3	0.45826	[-2, -2, -2, -3, -3, -2, -3, -2, -2, -2]
nasties	-2.1	0.3	[-2, -2, -2, -2, -3, -2, -2, -2, -2, -2]
nastiest	-2.4	1.85472	[-4, -4, -4, -2, -3, -2, 1, 1, -3, -4]
nastily	-1.9	0.7	[-2, -3, -1, -2, -2, -3, -1, -1, -2, -2]
nastiness	-1.1	1.44568	[-2, -2, -3, -2, 1, -1, -1, -1, 2, -2]
nastinesses	-2.6	0.66332	[-2, -3, -3, -2, -3, -3, -3, -1, -3, -3]
nasturtium	0.4	0.66332	[0, 0, 0, 0, 0, 1, 1, 0, 2, 0]
nasturtiums	0.1	0.3	[0, 0, 0, 0, 0, 0, 1, 0, 0, 0]
nasty	-2.6	1.0198	[-3, -1, -2, -4, -3, -3, -1, -2, -4, -3]
natural	1.5	1.0247	[2, 0, 0, 1, 1, 3, 2, 2, 3, 1]
neat	2.0	0.89443	[2, 1, 1, 2, 3, 1, 2, 2, 2, 4]
neaten	1.2	0.4	[1, 1, 1, 1, 1, 2, 2, 1, 1, 1]
neatened	2.0	1.09545	[0, 2, 1, 3, 1, 2, 4, 3, 2, 2]
neatening	1.3	0.45826	[1, 1, 1, 1, 2, 2, 2, 1, 1, 1]
neatens	1.1	0.83066	[0, 1, 0, 1, 1, 1, 1, 3, 2, 1]
neater	1.0	0.44721	[1, 1, 1, 1, 1, 1, 2, 0, 1, 1]
neatest	1.7	0.64031	[1, 2, 2, 1, 2, 2, 1, 2, 1, 3]
neath	0.2	0.9798	[0, 0, -2, 0, 0, 2, 0, 1, 1, 0]
neatherd	-0.4	0.8	[0, 0, 0, -2, 0, -1, 1, -1, -1, 0]
neatly	1.4	0.66332	[2, 1, 1, 2, 2, 2, 0, 1, 1, 2]
neatness	1.3	0.64031	[2, 1, 1, 0, 1, 1, 2, 2, 2, 1]
neats	1.1	0.53852	[2, 1, 2, 1, 0, 1, 1, 1, 1, 1]
needy	-1.4	0.4899	[-1, -2, -2, -2, -1, -1, -1, -1, -2, -1]
negative	-2.7	0.9	[-1, -3, -3, -2, -4, -2, -2, -4, -3, -3]
negativity	-2.3	0.45826	[-2, -2, -2, -2, -3, -2, -3, -3, -2, -2]
neglect	-2.0	0.63246	[-2, -2, -1, -1, -3, -2, -3, -2, -2, -2]
neglected	-2.4	1.0198	[-1, -2, -4, -3, -2, -2, -1, -4, -3, -2]
neglecter	-1.7	0.64031	[-2, -2, -1, -1, -1, -3, -2, -2, -1, -2]
neglecters	-1.5	0.67082	[-2, -1, -1, -1, -2, -1, -1, -2, -3, -1]
neglectful	-2.0	0.63246	[-3, -3, -1, -2, -2, -2, -1, -2, -2, -2]
neglectfully	-2.1	0.9434	[-1, -3, -3, -1, -1, -2, -2, -2, -4, -2]
neglectfulness	-2.0	0.63246	[-2, -2, -2, -2, -1, -3, -2, -2, -1, -3]
neglecting	-1.7	0.78102	[-2, -1, -3, -2, -1, -3, -1, -1, -2, -1]
neglects	-2.2	0.4	[-2, -2, -2, -2, -2, -3, -2, -3, -2, -2]
nerd	-1.2	0.6	[-1, -2, -1, -2, -1, 0, -1, -1, -2, -1]
nerdier	-0.2	0.87178	[0, 0, -1, -1, 0, -1, 2, 0, 0, -1]
nerdiest	0.6	1.28062	[2, 3, 0, -1, 1, 0, 0, -1, 2, 0]
nerdish	-0.1	1.04403	[-1, -1, 2, 0, -1, -1, 1, 0, 1, -1]
nerdy	-0.2	1.249	[-1, -1, -1, 3, 0, 0, 0, 0, -2, 0]
nerves	-0.4	0.8	[0, -1, 0, 1, -2, -1, 0, -1, 0, 0]
nervous	-1.1	0.53852	[-1, -1, -1, -2, -2, -1, -1, 0, -1, -1]
nervously	-0.6	1.56205	[-1, -1, -1, -1, -1, -2, 4, -1, -1, -1]
nervousness	-1.2	0.4	[-1, -1, -1, -1, -1, -1, -1, -2, -2, -1]
neurotic	-1.4	1.11355	[-3, -2, -2, -1, 1, -2, -2, -1, 0, -2]
neurotically	-1.8	1.16619	[0, -2, -1, -3, -3, -1, 0, -2, -3, -3]
neuroticism	-0.9	1.22066	[-2, -1, -1, -1, -2, 0, -3, 1, 1, -1]
neurotics	-0.7	1.61555	[-2, 0, -1, -2, -1, -3, 0, 2, 2, -2]
nice	1.8	0.74833	[3, 1, 1, 2, 2, 1, 3, 1, 2, 2]
nicely	1.9	0.83066	[2, 1, 2, 2, 4, 2, 1, 1, 2, 2]
niceness	1.6	0.66332	[1, 1, 3, 2, 1, 1, 2, 2, 2, 1]
nicenesses	2.1	1.22066	[4, 0, 3, 1, 2, 1, 4, 2, 2, 2]
nicer	1.9	0.53852	[2, 2, 1, 2, 3, 2, 2, 2, 1, 2]
nicest	2.2	0.87178	[1, 4, 1, 2, 2, 2, 3, 3, 2, 2]
niceties	1.5	1.20416	[1, 4, 1, 1, 2, 1, 0, 3, 2, 0]
nicety	1.2	1.07703	[1, 0, 4, 1, 1, 0, 2, 1, 1, 1]
nifty	1.7	0.64031	[2, 2, 1, 1, 1, 2, 3, 2, 2, 1]
niggas	-1.4	2.2	[-4, -3, 2, 1, -4, -2, 0, -1, 1, -4]
nigger	-3.3	1.18743	[-4, -4, -4, -4, -4, -4, -1, -3, -1, -4]
no	-1.2	0.74833	[-1, -1, -1, -1, -1, -1, 0, -1, -2, -3]
noble	2.0	0.89443	[2, 1, 2, 2, 3, 0, 2, 3, 2, 3]
noisy	-0.7	0.64031	[-2, 0, -1, -1, 0, -1, -1, 0, 0, -1]
nonsense	-1.7	0.64031	[-3, -1, -1, -1, -2, -1, -2, -2, -2, -2]
noob	-0.2	1.16619	[-2, 0, -1, 0, -1, 2, 1, 1, -1, -1]
nosey	-0.8	1.16619	[-2, -2, -2, 1, -1, -1, 0, 1, 0, -2]
notorious	-1.9	1.3	[-2, -4, -3, -2, -2, -2, -1, -1, -3, 1]
novel	1.3	0.64031	[2, 0, 1, 1, 1, 1, 2, 2, 2, 1]
numb	-1.4	0.66332	[-1, -1, -1, -1, -2, -1, -1, -3, -2, -1]
numbat	0.2	0.4	[0, 0, 0, 0, 1, 1, 0, 0, 0, 0]
numbed	-0.9	0.53852	[-1, -1, -1, -1, 0, 0, -2, -1, -1, -1]
number	0.3	0.64031	[0, 0, 1, 0, 0, 2, 0, 0, 0, 0]
numberable	0.6	0.91652	[0, 2, 0, 0, 0, 2, 2, 0, 0, 0]
numbest	-1.0	0.89443	[-2, -1, 0, 0, -3, -1, -1, -1, 0, -1]
numbfish	-0.4	0.66332	[-1, 0, 0, 0, -2, 0, 0, -1, 0, 0]
numbfishes	-0.7	0.9	[0, -1, 0, -1, -1, 0, -1, 0, 0, -3]
numbing	-1.1	0.83066	[-1, 0, -1, -1, -2, -1, -3, -1, 0, -1]
numbingly	-1.3	0.45826	[-1, -1, -2, -1, -1, -1, -2, -1, -2, -1]
numbles	0.4	0.66332	[0, 0, 0, 0, 1, 2, 0, 0, 1, 0]
numbly	-1.4	1.0198	[-3, -2, 0, -1, -1, -3, -1, -2, -1, 0]
numbness	-1.1	0.7	[-1, -1, -2, -1, -1, -2, -1, 0, -2, 0]
numbs	-0.7	1.00499	[-1, 0, -1, 0, 1, 0, -3, -1, -1, -1]
numbskull	-2.3	1.41774	[-2, -4, -3, 0, -2, -2, -4, -4, 0, -2]
numbskulls	-2.2	1.07703	[-2, -2, -4, -2, -2, -1, -3, -3, 0, -3]
nurtural	1.5	0.80623	[2, 1, 2, 2, 1, 3, 0, 1, 2, 1]
nurturance	1.6	0.8	[1, 2, 1, 1, 3, 0, 2, 2, 2, 2]
nurturances	1.3	1.55242	[0, -2, 3, 1, 1, 2, 3, 0, 2, 3]
nurturant	1.7	0.78102	[2, 1, 3, 2, 2, 2, 2, 1, 0, 2]
nurture	1.4	0.8	[3, 1, 2, 2, 1, 2, 1, 0, 1, 1]
nurtured	1.9	0.9434	[2, 1, 3, 3, 3, 1, 2, 2, 0, 2]
nurturer	1.9	0.83066	[2, 1, 3, 3, 3, 1, 2, 2, 1, 1]
nurturers	0.8	1.66132	[2, -1, 2, 2, 1, -2, -2, 2, 2, 2]
nurtures	1.9	0.83066	[2, 1, 3, 3, 3, 1, 2, 2, 1, 1]
nurturing	2.0	0.63246	[3, 3, 2, 2, 1, 2, 2, 1, 2, 2]
nuts	-1.3	1.26886	[-2, -1, -2, -3, 1, -1, 1, -2, -2, -2]
o.o	-0.8	1.07703	[-1, -1, 0, -2, -1, -1, -2, 1, -2, 1]
o/\o	2.1	1.04403	[1, 2, 3, 1, 3, 4, 1, 2, 3, 1]
o_0	-0.1	0.53852	[-1, -1, 0, 0, 0, 0, 0, 0, 1, 0]
obliterate	-2.9	0.83066	[-3, -4, -3, -3, -3, -3, -2, -1, -4, -3]
obliterated	-2.1	1.3	[-3, 0, -1, -4, -3, -2, 0, -2, -3, -3]
obnoxious	-2.0	0.44721	[-1, -2, -3, -2, -2, -2, -2, -2, -2, -2]
obnoxiously	-2.3	0.64031	[-3, -2, -1, -2, -2, -3, -2, -3, -3, -2]
obnoxiousness	-2.1	0.7	[-3, -1, -1, -2, -2, -3, -2, -2, -3, -2]
obscene	-2.8	0.87178	[-3, -3, -2, -1, -3, -4, -3, -4, -2, -3]
obsess	-1.0	0.89443	[-2, 0, -2, -1, 1, -1, -2, -1, -1, -1]
obsessed	-0.7	0.78102	[0, 0, -1, 0, -1, 0, -1, -2, -2, 0]
obsesses	-1.0	0.7746	[-2, -2, -1, -2, 0, -1, -1, -1, 0, 0]
obsessing	-1.4	0.66332	[-1, -1, -1, -2, -1, -1, -1, -3, -2, -1]
obsession	-1.4	0.8	[0, -2, -2, -1, -1, -1, -3, -1, -1, -2]
obsessional	-1.5	0.92195	[0, -2, -1, -1, -3, -1, -2, -1, -3, -1]
obsessionally	-1.3	0.9	[-1, -2, -2, -2, -2, -1, 1, -1, -1, -2]
obsessions	-0.9	1.44568	[-1, -4, -2, -1, 1, -1, 0, 1, 0, -2]
obsessive	-0.9	1.04403	[-2, 0, -1, 0, 1, -1, -3, -1, -1, -1]
obsessively	-0.4	1.2	[-1, -1, -1, -1, -1, 1, 2, -2, 1, -1]
obsessiveness	-1.2	1.32665	[0, -3, -1, -1, -1, 1, -4, -1, -1, -1]
obsessives	-0.7	0.9	[-1, -1, -1, -1, -1, 1, -2, 1, -1, -1]
obsolete	-1.2	0.74833	[-1, -1, -1, -1, -2, -1, -1, -3, -1, 0]
obstacle	-1.5	1.0247	[-1, -3, -1, -2, -2, -2, 1, -1, -2, -2]
obstacles	-1.6	0.8	[-3, -1, -2, -1, -2, -2, 0, -2, -1, -2]
obstinate	-1.2	0.74833	[-2, -1, -1, -1, 0, 0, -2, -1, -2, -2]
odd	-1.3	0.45826	[-1, -1, -2, -1, -1, -1, -2, -1, -2, -1]
offence	-1.2	1.93907	[-2, -2, -3, 3, -2, -2, -3, 2, -1, -2]
offences	-1.4	1.49666	[-2, -2, -4, -1, -2, -2, -1, 0, 2, -2]
offend	-1.2	1.4	[-2, -2, -2, -2, -1, -2, -2, 1, 2, -2]
offended	-1.0	1.41421	[-2, -2, -2, -2, -1, 0, -2, 2, 1, -2]
offender	-1.5	1.28452	[-3, -2, -2, -2, -2, -2, -2, 1, 1, -2]
offenders	-1.5	1.28452	[-2, -1, -2, -2, -2, -2, 2, -3, -2, -1]
offending	-2.3	0.64031	[-2, -2, -3, -2, -2, -4, -2, -2, -2, -2]
offends	-2.0	0.7746	[-3, -1, -1, -2, -2, -2, -3, -1, -2, -3]
offense	-1.0	1.61245	[-2, 1, -1, -2, -2, -2, -3, 2, 1, -2]
offenseless	0.7	1.79165	[3, 1, 0, 2, 1, 2, 1, 0, -4, 1]
offenses	-1.5	1.5	[-1, -2, -2, -4, -1, -2, 1, -3, 1, -2]
offensive	-2.0	1.48324	[-3, -3, -3, -2, -1, -2, 2, -2, -3, -3]
offensively	-2.8	0.87178	[-2, -4, -3, -3, -2, -4, -4, -2, -2, -2]
offensiveness	-2.3	0.45826	[-2, -2, -2, -2, -2, -3, -2, -3, -3, -2]
offensives	-0.8	1.249	[0, 0, -1, -2, 0, 2, -2, -1, -2, -2]
offline	-0.5	0.92195	[0, 0, 0, 0, -3, 0, -1, 0, -1, 0]
ok	1.2	0.4	[1, 2, 1, 1, 1, 1, 2, 1, 1, 1]
okay	0.9	0.53852	[1, 1, 0, 0, 1, 1, 1, 2, 1, 1]
okays	2.1	1.13578	[1, 1, 1, 4, 3, 2, 2, 1, 2, 4]
ominous	-1.4	1.49666	[-3, -2, -1, -2, -2, -1, -1, 1, 1, -4]
once-in-a-lifetime	1.8	1.4	[4, 2, 1, 0, 1, 1, 4, 3, 2, 0]
openness	1.4	0.8	[2, 1, 1, 2, 2, 1, 1, 1, 3, 0]
opportune	1.7	0.78102	[2, 2, 0, 1, 2, 3, 2, 2, 1, 2]
opportunely	1.5	1.0247	[1, 1, 4, 1, 2, 1, 1, 2, 2, 0]
opportuneness	1.2	1.249	[0, 1, 2, 2, 2, 2, 2, 2, -2, 1]
opportunism	0.4	1.11355	[-1, -1, 0, -1, 1, 2, 0, 1, 2, 1]
opportunisms	0.2	1.4	[2, -1, 0, -1, 1, -2, 2, 2, -1, 0]
opportunist	0.2	0.9798	[-1, -1, 0, -1, 0, 2, 0, 1, 1, 1]
opportunistic	-0.1	2.11896	[-2, 1, -1, 0, -4, 2, -1, 4, 1, -1]
opportunistically	0.9	1.51327	[1, -3, 1, 3, 2, 2, 1, 0, 1, 1]
opportunists	0.3	1.34536	[0, -1, -1, 2, 1, 3, -1, -1, 1, 0]
opportunities	1.6	0.4899	[1, 1, 2, 2, 2, 1, 2, 2, 1, 2]
opportunity	1.8	0.6	[2, 2, 2, 2, 3, 1, 2, 1, 1, 2]
oppressed	-2.1	0.53852	[-2, -2, -2, -1, -2, -2, -3, -2, -2, -3]
oppressive	-1.7	1.34536	[-3, -2, -1, -2, -2, -2, -3, 2, -2, -2]
optimal	1.5	0.67082	[1, 2, 1, 3, 1, 1, 1, 2, 2, 1]
optimality	1.9	0.7	[3, 3, 2, 1, 2, 1, 2, 2, 1, 2]
optimally	1.3	0.9	[0, 3, 0, 1, 1, 2, 1, 1, 2, 2]
optimisation	1.6	0.8	[3, 1, 1, 1, 2, 1, 1, 3, 2, 1]
optimisations	1.8	0.6	[3, 1, 1, 2, 1, 2, 2, 2, 2, 2]
optimise	1.9	0.83066	[1, 2, 3, 2, 3, 3, 2, 1, 1, 1]
optimised	1.7	1.26886	[2, 4, 1, 2, 1, 2, 3, 2, 1, -1]
optimises	1.6	1.0198	[3, 1, 1, 1, 1, 3, 2, 0, 3, 1]
optimising	1.7	1.00499	[1, 2, 3, 3, 1, 2, 1, 3, 0, 1]
optimism	2.5	0.67082	[2, 2, 3, 3, 3, 4, 2, 2, 2, 2]
optimisms	2.0	0.63246	[2, 3, 1, 3, 1, 2, 2, 2, 2, 2]
optimist	2.4	0.4899	[3, 2, 3, 2, 3, 3, 2, 2, 2, 2]
optimistic	1.3	1.48661	[2, 2, -3, 2, 2, 2, 1, 2, 1, 2]
optimistically	2.1	0.53852	[3, 2, 2, 2, 3, 2, 1, 2, 2, 2]
optimists	1.6	0.66332	[3, 2, 2, 1, 2, 1, 2, 1, 1, 1]
optimization	1.6	0.8	[2, 3, 1, 1, 1, 2, 0, 2, 2, 2]
optimizations	0.9	1.04403	[0, 2, 0, 2, 1, 0, 3, 1, 0, 0]
optimize	2.2	0.87178	[2, 3, 3, 2, 1, 2, 4, 2, 2, 1]
optimized	2.0	0.44721	[1, 3, 2, 2, 2, 2, 2, 2, 2, 2]
optimizer	1.5	0.67082	[1, 3, 1, 1, 2, 2, 1, 2, 1, 1]
optimizers	2.1	0.7	[3, 3, 1, 3, 2, 2, 1, 2, 2, 2]
optimizes	1.8	0.6	[1, 3, 2, 1, 2, 2, 1, 2, 2, 2]
optimizing	2.0	0.7746	[1, 1, 2, 2, 1, 3, 3, 3, 2, 2]
optionless	-1.7	0.64031	[-2, -1, -2, -3, -1, -2, -2, -2, -1, -1]
original	1.3	0.9	[0, 2, 0, 2, 2, 0, 2, 1, 2, 2]
outcry	-2.3	0.64031	[-3, -2, -2, -3, -2, -1, -3, -2, -2, -3]
outgoing	1.2	1.16619	[1, 1, 1, 2, -1, 1, 3, 3, 0, 1]
outmaneuvered	0.5	1.36015	[-2, 2, 0, 0, 3, 1, 1, 0, 1, -1]
outrage	-2.3	1.00499	[-2, -2, -4, -3, -1, -3, -3, -1, -1, -3]
outraged	-2.5	0.92195	[-3, -2, -2, -1, -3, -3, -1, -4, -3, -3]
outrageous	-2.0	1.34164	[-3, 0, -2, -1, -3, 0, -3, -3, -4, -1]
outrageously	-1.2	1.32665	[-1, -1, -3, -3, -2, -1, 2, -1, -1, -1]
outrageousness	-1.2	1.249	[-2, 0, 1, -2, -1, -1, -3, 0, -1, -3]
outrageousnesses	-1.3	1.67631	[-1, -3, -2, 1, 0, 1, 0, -3, -2, -4]
outrages	-2.3	1.00499	[-3, -2, -2, -1, -3, -3, -1, -4, -1, -3]
outraging	-2.0	1.18322	[-4, -1, -2, -3, -1, 0, -1, -3, -3, -2]
outreach	1.1	0.7	[2, 1, 0, 0, 2, 1, 1, 1, 2, 1]
outstanding	3.0	0.89443	[3, 1, 3, 3, 4, 4, 2, 3, 4, 3]
overjoyed	2.7	0.78102	[4, 3, 3, 4, 2, 2, 2, 2, 3, 2]
overload	-1.5	0.67082	[-2, 0, -1, -2, -2, -1, -1, -2, -2, -2]
overlooked	-0.1	1.44568	[-1, -2, -1, -1, 2, 0, -1, 2, -1, 2]
overreact	-1.0	1.73205	[-2, -2, -2, -2, 0, -3, 1, 3, -1, -2]
overreacted	-1.7	0.64031	[-2, -2, -2, -1, -1, -1, -1, -3, -2, -2]
overreaction	-0.7	1.34536	[-2, -1, 0, -1, -1, 3, -2, -1, -1, -1]
overreacts	-2.2	0.87178	[-2, -2, -2, -3, -4, -1, -3, -1, -2, -2]
oversell	-0.9	0.7	[0, -1, -1, 0, -2, -1, -1, -1, -2, 0]
overselling	-0.8	1.16619	[0, -1, 0, -1, -2, -1, -1, -2, -2, 2]
oversells	0.3	1.26886	[-1, -1, 0, 0, 2, 2, 2, -1, 1, -1]
oversimplification	0.2	1.53623	[-1, 1, -1, -1, 1, -1, -2, 1, 2, 3]
oversimplifies	0.1	1.37477	[3, 0, 0, -1, 1, -1, 2, -1, -1, -1]
oversimplify	-0.6	1.35647	[-3, -1, 0, -2, 0, 1, 2, -1, -1, -1]
overstatement	-1.1	0.7	[-2, 0, -1, -2, -1, 0, -1, -1, -2, -1]
overstatements	-0.7	1.34536	[-1, -1, -3, -1, 2, 0, -1, -1, -2, 1]
overweight	-1.5	0.67082	[-3, -2, -1, -1, -1, -2, -1, -2, -1, -1]
overwhelm	-0.7	1.26886	[-1, 2, -1, -1, -2, -2, 1, 0, -1, -2]
overwhelmed	0.2	1.53623	[-2, -1, 2, -2, 2, 1, -1, 2, 1, 0]
overwhelmingly	-0.5	1.28452	[0, -2, -1, 0, -2, -1, -2, 0, 1, 2]
overwhelms	-0.8	1.249	[-2, -2, -1, -1, -1, -2, 2, 1, -1, -1]
oxymoron	-0.5	0.80623	[0, 0, -1, -1, -1, -2, 1, 0, 0, -1]
pain	-2.3	0.64031	[-2, -3, -2, -2, -2, -2, -2, -2, -2, -4]
pained	-1.8	0.6	[-1, -2, -3, -2, -2, -2, -2, -1, -1, -2]
painful	-1.9	0.9434	[-2, -1, -1, -3, -4, -1, -1, -2, -2, -2]
painfuller	-1.7	1.34536	[-2, -2, -2, 2, -1, -3, -2, -2, -3, -2]
painfully	-2.4	0.4899	[-2, -3, -2, -3, -3, -2, -2, -2, -2, -3]
painfulness	-2.7	0.64031	[-3, -4, -3, -2, -3, -3, -3, -2, -2, -2]
paining	-1.7	0.45826	[-1, -2, -2, -2, -2, -2, -1, -2, -1, -2]
painless	1.2	0.87178	[1, 2, -1, 1, 2, 1, 2, 1, 2, 1]
painlessly	1.1	0.3	[1, 1, 1, 1, 1, 1, 1, 1, 1, 2]
painlessness	0.4	1.0198	[1, 1, 1, 1, -1, 1, -2, 0, 1, 1]
pains	-1.8	0.6	[-2, -2, -1, -1, -1, -2, -2, -2, -3, -2]
palatable	1.6	0.8	[2, 1, 2, 1, 2, 1, 3, 0, 2, 2]
palatableness	0.8	0.87178	[2, 1, 1, 0, -1, 2, 0, 1, 1, 1]
palatably	1.1	0.83066	[2, 1, 2, 1, 1, 1, 2, -1, 1, 1]
panic	-2.3	0.64031	[-3, -2, -1, -2, -2, -2, -3, -3, -2, -3]
panicked	-2.0	1.61245	[-2, -4, -3, -3, -3, 1, -2, -2, 1, -3]
panicking	-1.9	0.53852	[-2, -2, -3, -2, -2, -2, -2, -2, -1, -1]
panicky	-1.5	0.67082	[-2, -2, -1, -1, -1, -1, -1, -2, -3, -1]
panicle	0.5	0.67082	[2, 0, 0, 0, 0, 0, 0, 1, 1, 1]
panicled	0.1	0.83066	[2, 0, 0, 0, 0, -1, 0, -1, 1, 0]
panicles	-0.2	0.6	[1, 0, 0, 0, 0, -1, 0, -1, -1, 0]
panics	-1.9	1.3	[-2, -3, -2, -3, -1, -2, 1, -4, -1, -2]
paniculate	0.1	0.3	[0, 0, 0, 1, 0, 0, 0, 0, 0, 0]
panicums	-0.1	0.3	[0, 0, 0, 0, -1, 0, 0, 0, 0, 0]
paradise	3.2	0.9798	[4, 1, 4, 2, 4, 4, 3, 3, 3, 4]
paradox	-0.4	0.66332	[-1, -1, 0, 0, -1, 0, -1, 0, 1, -1]
paranoia	-1.0	1.48324	[1, -2, -2, -3, -1, 0, -2, -1, -2, 2]
paranoiac	-1.3	1.61555	[-2, -3, -2, -2, 1, -3, 2, -2, 0, -2]
paranoiacs	-0.7	1.18743	[-1, 0, -1, -1, -3, 1, -2, 0, 1, -1]
paranoias	-1.5	1.0247	[-2, -3, -2, 0, -1, -3, 0, -1, -1, -2]
paranoid	-1.0	1.41421	[0, -3, -3, -2, -1, -1, 0, 1, -2, 1]
paranoids	-1.6	0.91652	[-2, -1, -1, -2, -2, -1, -1, -1, -4, -1]
pardon	1.3	0.45826	[1, 2, 1, 2, 1, 2, 1, 1, 1, 1]
pardoned	0.9	0.9434	[1, 1, 1, 1, 1, 1, 1, 0, 3, -1]
pardoning	1.7	0.78102	[3, 2, 2, 2, 1, 1, 2, 2, 0, 2]
pardons	1.2	0.6	[2, 1, 1, 1, 1, 2, 1, 2, 0, 1]
parley	-0.4	0.66332	[0, -2, 0, 0, -1, -1, 0, 0, 0, 0]
partied	1.4	1.11355	[2, 3, 1, 1, 1, 2, 3, -1, 1, 1]
partier	1.4	0.8	[2, 2, 1, 1, 0, 2, 3, 1, 1, 1]
partiers	0.7	1.00499	[0, 0, 3, 0, 0, 0, 2, 1, 0, 1]
parties	1.7	0.78102	[2, 3, 1, 1, 1, 2, 3, 1, 2, 1]
party	1.7	0.78102	[3, 2, 2, 1, 3, 2, 1, 1, 1, 1]
partyer	1.2	1.07703	[1, 3, 1, 0, 1, 0, 2, 1, 3, 0]
partyers	1.1	0.83066	[1, 2, 0, 3, 1, 1, 1, 0, 1, 1]
partying	1.6	1.11355	[0, 3, 1, 0, 3, 2, 3, 1, 2, 1]
passion	2.0	0.44721	[2, 2, 1, 3, 2, 2, 2, 2, 2, 2]
passional	1.6	0.8	[2, 1, 3, 0, 2, 1, 1, 2, 2, 2]
passionate	2.4	1.35647	[0, 4, 3, 3, 4, 2, 0, 2, 3, 3]
passionately	2.4	0.91652	[3, 0, 3, 3, 2, 3, 2, 3, 2, 3]
passionateness	2.3	0.64031	[1, 3, 2, 3, 2, 3, 2, 3, 2, 2]
passionflower	0.3	0.45826	[0, 0, 0, 0, 1, 0, 1, 1, 0, 0]
passionflowers	0.4	0.66332	[0, 0, 0, 0, 2, 1, 1, 0, 0, 0]
passionless	-1.9	0.7	[-3, -2, -2, -2, -1, -1, -1, -3, -2, -2]
passions	2.2	0.6	[3, 3, 3, 2, 2, 1, 2, 2, 2, 2]
passive	0.8	1.46969	[4, 1, 1, 0, -2, 0, 1, 1, 2, 0]
passively	-0.7	0.64031	[0, -1, 0, 0, -1, -2, 0, -1, -1, -1]
pathetic	-2.7	1.48661	[-3, -4, -3, -4, -2, 1, -2, -2, -4, -4]
pathetical	-1.2	1.249	[-2, -1, -2, -1, -2, 1, -3, 1, -1, -2]
pathetically	-1.8	1.72047	[-3, -4, -2, 0, -3, -2, -3, -3, 1, 1]
pay	-0.4	0.91652	[0, 0, -3, 0, 0, 0, 0, 0, -1, 0]
peace	2.5	1.0247	[3, 2, 1, 4, 2, 3, 4, 1, 3, 2]
peaceable	1.7	0.45826	[2, 2, 1, 2, 1, 2, 2, 1, 2, 2]
peaceableness	1.8	1.16619	[2, 2, 4, 2, 2, 2, 2, 1, 2, -1]
peaceably	2.0	0.63246	[2, 3, 2, 2, 1, 2, 3, 1, 2, 2]
peaceful	2.2	0.74833	[4, 2, 1, 2, 2, 2, 3, 2, 2, 2]
peacefuller	1.9	0.7	[2, 2, 2, 1, 3, 3, 2, 2, 1, 1]
peacefullest	3.1	0.7	[3, 3, 2, 3, 4, 2, 4, 3, 4, 3]
peacefully	2.4	0.66332	[3, 2, 2, 2, 4, 2, 2, 3, 2, 2]
peacefulness	2.1	0.83066	[3, 2, 1, 2, 3, 1, 3, 3, 1, 2]
peacekeeper	1.6	1.11355	[1, 1, 0, 2, 1, 1, 4, 3, 2, 1]
peacekeepers	1.6	1.11355	[4, 1, 1, 2, 1, 1, 2, 3, 0, 1]
peacekeeping	2.0	0.63246	[2, 1, 1, 2, 3, 3, 2, 2, 2, 2]
peacekeepings	1.6	0.8	[0, 1, 1, 2, 2, 3, 2, 2, 2, 1]
peacemaker	2.0	0.89443	[2, 1, 2, 4, 2, 2, 1, 3, 1, 2]
peacemakers	2.4	1.0198	[0, 3, 4, 2, 3, 2, 3, 3, 2, 2]
peacemaking	1.7	0.78102	[1, 1, 1, 3, 3, 1, 2, 2, 2, 1]
peacenik	0.8	0.87178	[1, 1, 0, 1, 2, 0, 1, 1, -1, 2]
peaceniks	0.7	1.00499	[2, 0, 0, 1, 0, 2, 1, -1, 2, 0]
peaces	2.1	0.83066	[2, 2, 2, 2, 3, 0, 3, 3, 2, 2]
peacetime	2.2	1.16619	[3, 1, 4, 2, 4, 3, 1, 1, 2, 1]
peacetimes	2.1	0.83066	[3, 2, 2, 4, 1, 2, 2, 2, 1, 2]
peculiar	0.6	1.2	[-1, 0, -1, 1, 2, -1, 2, 1, 2, 1]
peculiarities	0.1	1.37477	[-1, -1, 0, -1, -1, 1, 3, 2, -1, 0]
peculiarity	0.6	1.2	[-1, 1, -1, 0, 2, -1, 1, 2, 2, 1]
peculiarly	-0.4	1.2	[-1, 2, -2, -1, 0, 0, -2, 1, -1, 0]
penalty	-2.0	0.63246	[-2, -3, -2, -2, -1, -2, -3, -2, -2, -1]
pensive	0.3	1.1	[1, 0, 0, 1, 0, -1, 3, 0, -1, 0]
perfect	2.7	0.78102	[2, 4, 2, 3, 4, 2, 3, 2, 3, 2]
perfecta	1.4	1.42829	[1, 0, 0, 3, 1, 0, 0, 4, 3, 2]
perfectas	0.6	1.11355	[0, 0, -1, 1, 0, 2, 3, 0, 1, 0]
perfected	2.7	0.78102	[1, 3, 3, 4, 2, 3, 3, 2, 3, 3]
perfecter	1.8	0.9798	[2, 1, 3, 1, 2, 1, 2, 4, 1, 1]
perfecters	1.4	1.11355	[2, 1, 3, 0, 0, 3, 2, 0, 1, 2]
perfectest	3.1	1.04403	[2, 4, 4, 4, 3, 2, 1, 3, 4, 4]
perfectibilities	2.1	1.04403	[3, 2, 2, 3, 4, 1, 2, 2, 0, 2]
perfectibility	1.8	1.249	[4, 3, 3, 0, 1, 0, 1, 2, 2, 2]
perfectible	1.5	0.67082	[1, 2, 1, 1, 2, 1, 1, 3, 2, 1]
perfecting	2.3	0.9	[1, 2, 3, 3, 1, 2, 2, 4, 2, 3]
perfection	2.7	1.1	[3, 3, 3, 1, 2, 4, 4, 1, 2, 4]
perfectionism	1.3	1.26886	[3, -1, 2, 1, 2, 2, 2, -1, 1, 2]
perfectionist	1.5	1.20416	[3, -1, 3, 1, 2, 2, 2, 0, 1, 2]
perfectionistic	0.7	1.67631	[-1, 0, 2, 0, 1, 0, 3, -1, 4, -1]
perfectionists	0.1	1.22066	[1, -1, 1, -1, 0, 0, -1, 0, 3, -1]
perfections	2.5	1.43178	[2, 4, 4, 3, 3, 4, -1, 2, 2, 2]
perfective	1.2	0.87178	[1, 0, 1, 1, 3, 2, 2, 0, 1, 1]
perfectively	2.1	1.13578	[3, 3, 1, 4, 0, 2, 1, 2, 2, 3]
perfectiveness	0.9	1.51327	[-2, 3, -1, 0, 2, 0, 2, 2, 2, 1]
perfectives	0.9	0.83066	[0, 2, 1, 1, 1, 0, 2, 0, 2, 0]
perfectivity	2.2	0.9798	[3, 2, 0, 3, 1, 2, 3, 3, 2, 3]
perfectly	3.2	0.4	[3, 4, 4, 3, 3, 3, 3, 3, 3, 3]
perfectness	3.0	0.63246	[4, 3, 3, 3, 3, 2, 4, 2, 3, 3]
perfecto	1.3	1.34536	[1, 0, 0, 2, 0, 0, 1, 4, 3, 2]
perfects	1.6	1.11355	[1, 1, 1, 2, 1, 0, 1, 4, 3, 2]
peril	-1.7	1.67631	[-3, -2, -2, 3, -3, -2, -3, -2, -1, -2]
perjury	-1.9	0.9434	[-3, -2, -3, -2, -2, 0, -1, -2, -3, -1]
perpetrator	-2.2	0.74833	[-2, -3, -2, -2, -2, -2, -4, -2, -1, -2]
perpetrators	-1.0	1.67332	[-1, -2, -2, -2, -2, 2, 0, -4, 1, 0]
perplexed	-1.3	0.64031	[-1, -1, -2, -1, -1, -1, 0, -2, -2, -2]
persecute	-2.1	1.37477	[-2, -3, -2, 1, -1, -4, -2, -2, -2, -4]
persecuted	-1.3	1.61555	[-2, -1, -2, -1, -2, 2, -4, 1, -2, -2]
persecutes	-1.2	1.4	[-2, -1, -2, 0, -2, 1, -3, 1, -1, -3]
persecuting	-1.5	1.62788	[-3, -2, -2, 0, -4, -3, -2, -1, 1, 1]
perturbed	-1.4	0.8	[-2, -1, -1, 0, -2, -2, -2, 0, -2, -2]
perverse	-1.8	1.8868	[-2, -4, -3, 1, -2, -4, 1, 0, -1, -4]
perversely	-2.2	0.87178	[-1, -2, -2, -2, -1, -3, -2, -3, -4, -2]
perverseness	-2.1	1.22066	[-3, -3, 1, -2, -3, -2, -3, -2, -1, -3]
perversenesses	-0.5	1.74642	[-2, 3, -1, -2, 1, 0, 1, 0, -2, -3]
perversion	-1.3	1.34536	[-3, -2, -2, 1, 1, -3, -1, -2, -1, -1]
perversions	-1.2	1.83303	[-2, 0, -4, -2, -3, -3, 0, 1, -1, 2]
perversities	-1.1	1.22066	[-2, -1, -2, 0, -2, -2, -2, 1, 1, -2]
perversity	-2.6	0.8	[-2, -3, -2, -2, -4, -3, -3, -1, -3, -3]
perversive	-2.1	0.7	[-3, -1, -3, -2, -2, -2, -2, -1, -3, -2]
pervert	-2.3	0.9	[-2, -2, -1, -3, -4, -2, -3, -1, -3, -2]
perverted	-2.5	1.56525	[-2, -4, -2, -4, -3, -4, 1, -2, -1, -4]
pervertedly	-1.2	1.77764	[-3, -2, -1, -2, 2, -3, 1, -3, 1, -2]
pervertedness	-1.2	1.46969	[1, -2, -3, -2, 0, -2, -3, 1, 0, -2]
perverter	-1.7	1.48661	[-3, -4, -2, -2, -1, -1, 2, -2, -2, -2]
perverters	-0.6	1.68523	[-2, -2, -1, 0, -1, 2, -3, 1, 2, -2]
perverting	-1.0	2.09762	[4, -2, -2, -4, -2, 1, 0, -1, -2, -2]
perverts	-2.8	0.6	[-3, -3, -2, -3, -3, -2, -2, -4, -3, -3]
pesky	-1.2	0.4	[-1, -2, -1, -1, -1, -1, -2, -1, -1, -1]
pessimism	-1.5	1.36015	[-2, -3, 1, -2, -2, -1, 1, -3, -2, -2]
pessimisms	-2.0	1.0	[-3, -1, -2, -2, -3, -1, 0, -2, -3, -3]
pessimist	-1.5	1.36015	[-1, -3, 1, -2, -2, -2, 1, -3, -2, -2]
pessimistic	-1.5	1.43178	[-3, -1, -1, 1, -3, -3, -2, -2, -2, 1]
pessimistically	-2.0	1.0	[-1, -1, -3, -4, -2, -1, -1, -3, -2, -2]
pessimists	-1.0	1.26491	[-1, 1, -1, 0, -2, -2, -2, -3, -1, 1]
petrifaction	-1.9	1.3	[-3, -2, -1, -4, -3, 0, -1, 0, -2, -3]
petrifactions	-0.3	1.00499	[0, -1, 0, 0, 0, 0, 0, 0, -3, 1]
petrification	-0.1	1.44568	[-1, 2, -1, -1, 0, 2, 2, -2, -1, -1]
petrifications	-0.4	0.8	[0, 0, -2, 0, 0, 0, 0, 0, -2, 0]
petrified	-2.5	0.92195	[-4, -3, -2, -1, -2, -3, -2, -2, -2, -4]
petrifies	-2.3	1.00499	[-4, -3, -2, -1, -2, -2, -1, -2, -2, -4]
petrify	-1.7	0.9	[-2, -3, -1, -2, -1, -1, -2, -3, 0, -2]
petrifying	-2.6	0.8	[-2, -3, -3, -2, -4, -2, -3, -1, -3, -3]
pettier	-0.3	1.41774	[-1, -1, -1, -1, 2, 0, 2, -2, 1, -2]
pettiest	-1.3	1.95192	[1, -3, -3, -3, -2, -1, 2, -1, 1, -4]
petty	-0.8	1.32665	[1, -3, -2, -1, -1, -1, -1, -1, 2, -1]
phobia	-1.6	1.0198	[-2, -2, 1, -2, -3, -1, -1, -2, -2, -2]
phobias	-2.0	1.0	[-3, -2, -2, -3, -3, 0, -1, -2, -1, -3]
phobic	-1.2	1.16619	[-2, -2, 1, -1, -2, -1, 1, -2, -2, -2]
phobics	-1.3	0.64031	[-1, -1, -1, -2, -2, -1, 0, -2, -2, -1]
picturesque	1.6	1.11355	[4, 1, 1, 2, 1, 2, 1, 0, 3, 1]
pileup	-1.1	1.13578	[-2, 1, 0, -1, 0, -1, -3, -2, -2, -1]
pique	-1.1	1.13578	[-2, -2, -2, 0, 0, -1, 1, -1, -1, -3]
piqued	0.1	1.04403	[0, -2, 0, 1, 1, 1, -1, 1, -1, 1]
piss	-1.7	0.9	[-2, -1, -1, -2, -1, -3, -3, 0, -2, -2]
pissant	-1.5	1.5	[-1, -3, -3, 1, -3, -1, -1, -2, 1, -3]
pissants	-2.5	0.80623	[-4, -3, -3, -2, -3, -1, -2, -3, -2, -2]
pissed	-3.2	0.6	[-3, -3, -4, -3, -2, -4, -4, -3, -3, -3]
pisser	-2.0	1.09545	[-2, -4, -1, -3, -2, -3, -1, -2, -2, 0]
pissers	-1.4	2.00998	[-1, -1, -4, -2, -3, 4, -2, -1, -2, -2]
pisses	-1.4	0.8	[-2, -2, -1, -3, -1, -1, -1, -2, -1, 0]
pissing	-1.7	1.26886	[0, 0, -2, -2, -3, 0, -3, -1, -3, -3]
pissoir	-0.8	1.4	[-2, 0, 0, -2, -1, -3, 0, -2, 0, 2]
piteous	-1.2	1.46969	[-2, -1, -2, -2, -2, -1, 3, -1, -2, -2]
pitiable	-1.1	1.22066	[-1, 0, -1, -1, 1, -2, -4, -1, -1, -1]
pitiableness	-1.1	1.64012	[-2, -1, -1, -2, -4, 2, 1, 0, -2, -2]
pitiably	-1.1	0.9434	[-1, 0, 0, -2, 0, -2, -3, -1, -1, -1]
pitied	-1.3	1.1	[-2, -1, -3, -1, 1, 0, -2, -2, -1, -2]
pitier	-1.2	1.32665	[-3, -1, -2, -3, -1, -1, 1, 1, -2, -1]
pitiers	-1.3	0.9	[0, -1, -2, -2, -1, -1, -1, -3, -2, 0]
pities	-1.2	1.249	[-2, -1, -2, -3, -1, -1, 1, 1, -2, -2]
pitiful	-2.2	0.9798	[-3, -2, -1, -3, -2, -2, -3, -3, -3, 0]
pitifuller	-1.8	1.07703	[-1, -1, -2, -3, -4, 0, -2, -2, -1, -2]
pitifullest	-1.1	2.11896	[-2, 1, -1, -4, -4, -1, -3, -1, 2, 2]
pitifully	-1.2	1.249	[-2, -1, -3, -2, -1, -1, -2, -1, 2, -1]
pitifulness	-1.2	1.77764	[-3, -2, -1, -3, -2, -1, 3, 1, -2, -2]
pitiless	-1.8	0.87178	[-2, 0, -2, -2, -2, -3, -1, -3, -1, -2]
pitilessly	-2.1	0.7	[-2, -2, -1, -3, -3, -1, -3, -2, -2, -2]
pitilessness	-0.5	1.62788	[1, 3, 1, -3, -2, -1, -1, -1, -1, -1]
pity	-1.2	0.4	[-2, -2, -1, -1, -1, -1, -1, -1, -1, -1]
pitying	-1.4	0.91652	[-1, -3, -1, -3, -2, -1, 0, -1, -1, -1]
pityingly	-1.0	1.26491	[-2, -2, -1, -2, -2, 0, 0, -1, 2, -2]
pityriasis	-0.8	0.87178	[-2, 0, 0, 0, -1, 0, -2, -1, -2, 0]
play	1.4	1.0198	[2, 0, 1, 1, 1, 2, 1, 4, 1, 1]
played	1.4	1.42829	[2, 1, 1, 1, 4, 0, 1, 0, 4, 0]
playful	1.9	0.83066	[4, 2, 2, 2, 1, 1, 1, 2, 2, 2]
playfully	1.6	0.4899	[2, 1, 1, 2, 1, 2, 2, 2, 1, 2]
playfulness	1.2	0.87178	[2, 1, 2, -1, 1, 2, 1, 2, 1, 1]
playing	0.8	0.87178	[0, 2, 2, 1, 0, 0, 2, 0, 0, 1]
plays	1.0	1.09545	[0, 2, 0, 2, 0, 1, 0, 2, 3, 0]
pleasant	2.3	0.64031	[2, 3, 3, 3, 2, 1, 2, 2, 3, 2]
pleasanter	1.5	0.67082	[2, 2, 2, 1, 0, 1, 1, 2, 2, 2]
pleasantest	2.6	0.8	[3, 3, 3, 1, 2, 4, 3, 2, 2, 3]
pleasantly	2.1	0.53852	[1, 2, 3, 2, 2, 2, 2, 2, 3, 2]
pleasantness	2.3	0.9	[3, 2, 3, 3, 3, 1, 1, 3, 1, 3]
pleasantnesses	2.3	0.78102	[3, 1, 2, 3, 1, 2, 3, 3, 2, 3]
pleasantries	1.3	0.45826	[1, 1, 1, 1, 1, 2, 1, 2, 2, 1]
pleasantry	2.0	0.7746	[2, 2, 1, 1, 4, 2, 2, 2, 2, 2]
please	1.3	0.78102	[2, 1, 2, 2, 2, 0, 2, 1, 0, 1]
pleased	1.9	0.53852	[2, 2, 2, 2, 1, 1, 2, 3, 2, 2]
pleaser	1.7	0.45826	[2, 2, 2, 2, 1, 1, 1, 2, 2, 2]
pleasers	1.0	1.0	[1, 1, 2, 0, 1, 3, 1, 1, -1, 1]
pleases	1.7	0.45826	[2, 1, 2, 2, 1, 1, 2, 2, 2, 2]
pleasing	2.4	0.91652	[2, 3, 2, 2, 2, 2, 4, 4, 1, 2]
pleasurability	1.9	0.83066	[1, 2, 2, 2, 2, 0, 2, 3, 3, 2]
pleasurable	2.4	0.4899	[2, 3, 3, 2, 3, 3, 2, 2, 2, 2]
pleasurableness	2.4	0.91652	[2, 3, 2, 1, 2, 3, 4, 3, 1, 3]
pleasurably	2.6	0.4899	[2, 2, 2, 3, 3, 3, 3, 2, 3, 3]
pleasure	2.7	0.9	[4, 4, 3, 2, 2, 3, 2, 1, 3, 3]
pleasured	2.3	0.64031	[3, 2, 3, 2, 3, 3, 1, 2, 2, 2]
pleasureless	-1.6	0.8	[-1, -1, -1, -1, -2, -3, -3, -2, -1, -1]
pleasures	1.9	1.37477	[3, -2, 3, 2, 3, 2, 2, 2, 2, 2]
pleasuring	2.8	0.4	[3, 2, 3, 3, 3, 3, 3, 2, 3, 3]
poised	1.0	0.44721	[1, 1, 1, 1, 1, 1, 0, 1, 1, 2]
poison	-2.5	0.92195	[-4, -3, -2, -4, -2, -2, -2, -3, -1, -2]
poisoned	-2.2	0.9798	[-4, -1, -4, -1, -2, -2, -2, -2, -2, -2]
poisoner	-2.7	0.78102	[-2, -3, -3, -4, -4, -2, -2, -2, -2, -3]
poisoners	-3.1	0.83066	[-3, -4, -3, -4, -3, -4, -3, -3, -1, -3]
poisoning	-2.8	1.249	[-4, -4, -2, 0, -2, -3, -4, -3, -2, -4]
poisonings	-2.4	1.11355	[-2, 0, -2, -1, -4, -3, -3, -3, -3, -3]
poisonous	-2.7	0.78102	[-3, -3, -4, -2, -1, -3, -3, -3, -3, -2]
poisonously	-2.9	0.53852	[-3, -2, -3, -3, -2, -3, -3, -4, -3, -3]
poisons	-2.7	0.9	[-3, -4, -3, -1, -2, -3, -3, -2, -2, -4]
poisonwood	-1.0	0.89443	[0, -2, 0, 0, 0, -1, -2, -2, -2, -1]
pollute	-2.3	0.64031	[-3, -2, -2, -2, -2, -3, -3, -1, -3, -2]
polluted	-2.0	0.44721	[-2, -2, -1, -2, -2, -2, -2, -2, -3, -2]
polluter	-1.8	0.6	[-2, -1, -2, -1, -2, -2, -3, -1, -2, -2]
polluters	-2.0	0.44721	[-2, -2, -2, -2, -2, -3, -2, -1, -2, -2]
pollutes	-2.2	0.87178	[-2, -1, -2, -1, -3, -1, -3, -3, -3, -3]
poor	-2.1	1.13578	[-2, -2, -1, -4, -2, 0, -2, -4, -2, -2]
poorer	-1.5	1.56525	[-2, -3, -2, -2, -2, -2, 3, -2, -1, -2]
poorest	-2.5	0.80623	[-2, -3, -3, -1, -2, -3, -3, -4, -2, -2]
popular	1.8	0.74833	[2, 3, 1, 2, 2, 1, 3, 1, 2, 1]
popularise	1.6	0.66332	[1, 1, 2, 2, 3, 2, 1, 2, 1, 1]
popularised	1.1	0.9434	[1, 1, 0, 0, 3, 2, 1, 2, 1, 0]
popularises	0.5	0.67082	[1, 0, 0, 0, 0, 1, 1, 2, 0, 0]
popularising	1.2	0.6	[1, 0, 2, 2, 1, 1, 1, 2, 1, 1]
popularities	1.6	0.8	[2, 1, 1, 2, 0, 2, 1, 2, 3, 2]
popularity	2.1	1.04403	[2, 1, 1, 1, 3, 2, 3, 4, 3, 1]
popularization	1.3	0.78102	[1, 2, 1, 2, 1, 0, 1, 1, 3, 1]
popularizations	0.9	0.7	[1, 1, 1, 0, 2, 0, 1, 1, 2, 0]
popularize	1.3	0.64031	[2, 2, 0, 2, 1, 1, 1, 1, 2, 1]
popularized	1.9	0.83066	[3, 2, 3, 2, 1, 0, 2, 2, 2, 2]
popularizer	1.8	0.74833	[2, 2, 3, 2, 1, 0, 2, 2, 2, 2]
popularizers	1.0	0.89443	[0, 0, 1, 2, 1, 1, 1, 1, 3, 0]
popularizes	1.4	0.8	[2, 1, 3, 2, 1, 0, 1, 2, 1, 1]
popularizing	1.5	0.67082	[2, 2, 1, 1, 1, 2, 2, 0, 2, 2]
popularly	1.8	0.74833	[1, 3, 2, 1, 3, 1, 2, 1, 2, 2]
positive	2.6	0.91652	[2, 1, 2, 2, 3, 3, 4, 3, 4, 2]
positively	2.4	0.66332	[2, 2, 3, 3, 4, 2, 2, 2, 2, 2]
positiveness	2.3	1.18743	[2, 1, 4, 3, 4, 2, 0, 3, 2, 2]
positivenesses	2.2	0.74833	[3, 3, 2, 2, 2, 2, 1, 3, 1, 3]
positiver	2.3	0.78102	[1, 4, 2, 2, 2, 3, 2, 2, 2, 3]
positives	2.4	0.4899	[3, 3, 2, 2, 2, 2, 3, 2, 3, 2]
positivest	2.9	1.04403	[4, 3, 2, 1, 3, 4, 4, 4, 2, 2]
positivism	1.6	1.35647	[3, 0, 2, 1, 2, 0, 3, 4, 1, 0]
positivisms	1.8	0.9798	[4, 1, 2, 2, 2, 0, 2, 2, 1, 2]
positivist	2.0	1.0	[3, 1, 2, 2, 2, 0, 2, 4, 2, 2]
positivistic	1.9	0.83066	[2, 3, 1, 3, 1, 1, 3, 2, 1, 2]
positivists	1.7	1.1	[1, 2, 1, 4, 2, 1, 3, 0, 1, 2]
positivities	2.6	0.91652	[2, 2, 4, 3, 2, 3, 4, 3, 1, 2]
positivity	2.3	0.9	[2, 2, 2, 3, 3, 3, 3, 0, 3, 2]
possessive	-0.9	1.22066	[-1, -1, -2, -2, 0, -1, 0, -2, 2, -2]
postpone	-0.9	0.83066	[1, -1, -2, -1, -1, -2, -1, -1, 0, -1]
postponed	-0.8	0.4	[-1, -1, 0, 0, -1, -1, -1, -1, -1, -1]
postpones	-1.1	0.83066	[-1, -1, -1, 0, -1, 0, -2, -1, -3, -1]
postponing	-0.5	0.5	[0, -1, 0, -1, 0, 0, 0, -1, -1, -1]
poverty	-2.3	1.00499	[-2, -4, -2, -4, -3, -1, -2, -2, -1, -2]
powerful	1.8	0.9798	[4, 0, 2, 1, 2, 2, 2, 2, 1, 2]
powerless	-2.2	0.6	[-2, -3, -2, -2, -3, -2, -3, -2, -1, -2]
praise	2.6	0.8	[2, 4, 3, 3, 2, 1, 3, 3, 2, 3]
praised	2.2	0.6	[3, 2, 2, 2, 2, 3, 1, 3, 2, 2]
praiser	2.0	0.89443	[3, 1, 3, 1, 1, 2, 1, 3, 2, 3]
praisers	2.0	0.63246	[2, 2, 1, 3, 3, 2, 1, 2, 2, 2]
praises	2.4	0.4899	[3, 2, 2, 3, 2, 3, 2, 3, 2, 2]
praiseworthily	1.9	0.7	[2, 1, 1, 3, 2, 2, 2, 3, 1, 2]
praiseworthiness	2.4	0.8	[1, 3, 2, 4, 2, 2, 3, 2, 3, 2]
praiseworthy	2.6	0.4899	[3, 3, 3, 3, 2, 2, 3, 2, 3, 2]
praising	2.5	0.67082	[2, 3, 3, 2, 2, 3, 3, 3, 1, 3]
pray	1.3	1.18743	[0, 3, 2, 1, 1, 1, -1, 3, 1, 2]
praying	1.5	0.92195	[2, 2, 0, 3, 1, 3, 1, 1, 1, 1]
prays	1.4	1.0198	[2, 0, 2, 0, 1, 1, 3, 1, 3, 1]
prblm	-1.6	0.8	[-1, -1, -1, -1, -1, -3, -3, -2, -2, -1]
prblms	-2.3	1.00499	[-2, -2, -2, -2, -4, -4, -3, -1, -2, -1]
precious	2.7	0.64031	[3, 3, 3, 3, 3, 1, 3, 3, 2, 3]
preciously	2.2	0.74833	[3, 3, 3, 2, 2, 1, 1, 3, 2, 2]
preciousness	1.9	0.83066	[2, 4, 2, 2, 2, 1, 1, 1, 2, 2]
prejudice	-2.3	0.78102	[-2, -1, -2, -2, -3, -2, -2, -3, -4, -2]
prejudiced	-1.9	0.53852	[-2, -3, -1, -2, -1, -2, -2, -2, -2, -2]
prejudices	-1.8	0.74833	[-2, -3, -1, -2, -1, -3, -2, -1, -1, -2]
prejudicial	-2.6	0.8	[-3, -3, -2, -2, -3, -4, -2, -1, -3, -3]
prejudicially	-1.5	1.74642	[-3, -1, -1, -3, -3, -1, -3, 1, 2, -3]
prejudicialness	-2.4	1.42829	[-2, -3, 1, -3, -2, -4, -4, -3, -1, -3]
prejudicing	-1.8	1.07703	[-2, -2, -2, -3, -2, -1, 1, -3, -2, -2]
prepared	0.9	0.3	[1, 1, 1, 1, 1, 0, 1, 1, 1, 1]
pressure	-1.2	0.6	[-1, -1, -1, -1, -2, -2, -1, -2, 0, -1]
pressured	-0.9	1.04403	[-2, -1, -2, -1, 2, -1, -1, -1, -1, -1]
pressureless	1.0	1.26491	[2, 0, 1, -1, -1, 2, 1, 2, 1, 3]
pressures	-1.3	0.64031	[-2, -1, -1, -1, -3, -1, -1, -1, -1, -1]
pressuring	-1.4	0.91652	[-3, -1, -1, -1, -1, -1, -1, -3, -2, 0]
pressurise	-0.6	1.0198	[0, -2, 0, 1, 0, -2, 0, -2, 0, -1]
pressurised	-0.4	0.66332	[0, 0, 0, -1, 0, -1, 0, -2, 0, 0]
pressurises	-0.8	0.6	[-1, -1, -1, 0, -1, -1, 0, -1, 0, -2]
pressurising	-0.6	1.28062	[-1, 0, 0, 2, -1, -1, -3, 0, -2, 0]
pressurizations	-0.3	1.00499	[0, 0, 1, -2, 0, 0, -1, -2, 0, 1]
pressurize	-0.7	1.34536	[0, -2, -2, 0, 0, -1, -3, 2, -1, 0]
pressurized	0.1	0.83066	[0, 0, 0, 2, 0, 0, -1, -1, 0, 1]
pressurizer	0.1	0.83066	[0, 0, 0, 1, 0, 0, -1, -1, 0, 2]
pressurizers	-0.7	0.9	[-1, 0, -2, -1, -2, -1, 0, 0, 1, -1]
pressurizes	-0.2	0.87178	[0, 0, -1, 1, 0, 0, -1, -2, 0, 1]
pressurizing	-0.2	0.9798	[1, 0, -1, -1, -1, 0, -1, 2, 0, -1]
pretend	-0.4	0.91652	[0, 1, -1, -1, -2, 0, -1, -1, 1, 0]
pretending	0.4	1.49666	[2, 0, -1, -1, 0, 3, -2, 1, 0, 2]
pretends	-0.4	0.66332	[0, -1, 0, -1, 1, 0, 0, -1, -1, -1]
prettied	1.6	0.66332	[2, 1, 1, 1, 1, 2, 3, 2, 1, 2]
prettier	2.1	0.53852	[2, 2, 2, 2, 2, 2, 3, 1, 2, 3]
pretties	1.7	0.78102	[2, 1, 1, 2, 1, 2, 3, 1, 1, 3]
prettiest	2.7	0.78102	[4, 3, 4, 2, 2, 2, 3, 2, 2, 3]
pretty	2.2	0.6	[3, 2, 2, 2, 3, 1, 2, 2, 2, 3]
prevent	0.1	1.22066	[-2, 1, 0, 0, -1, 2, -1, 2, 0, 0]
prevented	0.1	0.7	[0, -1, 0, 2, 0, 0, 0, 0, 0, 0]
preventing	-0.1	1.51327	[-2, 0, -2, 3, 0, 0, -1, -1, 2, 0]
prevents	0.3	1.34536	[0, -2, 0, 0, 0, 2, 0, -1, 3, 1]
prick	-1.4	1.42829	[-2, -2, -2, -1, 1, -1, -4, -2, 1, -2]
pricked	-0.6	1.0198	[-1, -1, -2, 1, 0, -1, -2, -1, 1, 0]
pricker	-0.3	0.9	[-1, -1, 0, 2, 0, -1, -1, -1, 0, 0]
prickers	-0.2	0.87178	[1, -1, -1, 0, 1, -1, 0, 1, -1, -1]
pricket	-0.5	0.67082	[0, -1, -1, -2, 0, 0, 0, 0, -1, 0]
prickets	0.3	0.64031	[0, 2, 0, 0, 0, 1, 0, 0, 0, 0]
pricking	-0.9	1.22066	[-2, -1, -2, 2, -2, -2, -1, 0, -1, 0]
prickle	-1.0	0.44721	[-1, -1, -1, -1, -1, -1, -2, 0, -1, -1]
prickled	-0.2	1.53623	[-1, -1, 3, -1, -2, 2, 0, 0, 0, -2]
prickles	-0.8	0.74833	[0, -1, -1, -1, -2, -1, 0, 0, 0, -2]
pricklier	-1.6	0.8	[-1, -2, -2, -2, -2, -1, -2, -1, 0, -3]
prickliest	-1.4	1.35647	[-4, -2, -1, 0, -3, -1, -1, 1, -2, -1]
prickliness	-0.6	0.91652	[-2, -1, -1, -1, -1, 1, -1, 1, 0, -1]
prickling	-0.8	0.6	[-2, -1, 0, -1, 0, 0, -1, -1, -1, -1]
prickly	-0.9	1.04403	[-2, -1, -1, -2, -1, 1, -2, -1, 1, -1]
pricks	-0.9	1.04403	[-2, 0, -1, -3, -1, 1, 0, -1, -1, -1]
pricky	-0.6	1.2	[-2, 1, -1, -2, -1, 2, 0, -1, -1, -1]
pride	1.4	1.11355	[0, 2, 2, 2, 3, 1, -1, 2, 2, 1]
prison	-2.3	0.64031	[-3, -3, -2, -2, -1, -2, -3, -3, -2, -2]
prisoner	-2.5	1.0247	[-3, -1, -4, -4, -3, -2, -3, -2, -1, -2]
prisoners	-2.3	0.78102	[-3, -2, -3, -3, -1, -3, -2, -1, -2, -3]
privilege	1.5	0.80623	[2, 1, 0, 1, 3, 1, 2, 2, 2, 1]
privileged	1.9	0.9434	[2, 3, 3, 2, 3, 1, 1, 2, 0, 2]
privileges	1.6	1.2	[2, 1, 3, 1, 2, 2, 0, 0, 4, 1]
privileging	0.7	1.1	[1, 1, 2, 2, -1, 2, 1, 0, 0, -1]
prize	2.3	1.1	[2, 2, 0, 4, 4, 3, 2, 2, 2, 2]
prized	2.4	0.8	[3, 3, 3, 2, 3, 2, 1, 3, 1, 3]
prizefight	-0.1	1.13578	[-2, 2, 0, 0, 0, -2, 0, 1, 0, 0]
prizefighter	1.0	1.0	[0, 2, 0, 0, 0, 2, 0, 2, 2, 2]
prizefighters	-0.1	1.04403	[0, 0, -3, 0, 0, 0, 0, 1, 1, 0]
prizefighting	0.4	0.91652	[0, 0, 0, 1, 0, 3, 0, 0, 0, 0]
prizefights	0.3	0.78102	[1, 2, 0, 0, -1, 0, 0, 1, 0, 0]
prizer	1.0	1.0	[0, 3, 0, 0, 2, 1, 2, 1, 0, 1]
prizers	0.8	0.9798	[2, 0, 0, 1, 3, 1, 0, 1, 0, 0]
prizes	2.0	1.09545	[3, 3, 2, 0, 2, 1, 2, 4, 1, 2]
prizewinner	2.3	1.00499	[3, 0, 3, 3, 2, 2, 2, 4, 2, 2]
prizewinners	2.4	1.11355	[4, 2, 2, 2, 0, 4, 2, 3, 3, 2]
prizewinning	3.0	0.7746	[3, 3, 3, 3, 3, 4, 3, 1, 3, 4]
proactive	1.8	0.87178	[2, 3, 3, 1, 1, 1, 1, 3, 1, 2]
problem	-1.7	0.64031	[-2, -2, -1, -1, -1, -3, -1, -2, -2, -2]
problematic	-1.9	0.53852	[-1, -2, -2, -2, -2, -3, -2, -1, -2, -2]
problematical	-1.8	0.6	[-3, -1, -1, -2, -2, -2, -2, -2, -1, -2]
problematically	-2.0	1.0	[-2, -1, -3, -1, -1, -2, -4, -3, -1, -2]
problematics	-1.3	1.1	[0, -1, -1, 0, -2, -1, -4, -1, -2, -1]
problems	-1.7	0.78102	[-2, -1, -1, -3, -2, -1, -3, -1, -1, -2]
profit	1.9	0.7	[2, 3, 2, 1, 2, 1, 3, 1, 2, 2]
profitabilities	1.1	0.7	[1, 1, 3, 1, 1, 1, 1, 0, 1, 1]
profitability	1.1	1.44568	[1, 1, -2, 2, 0, 3, 1, 3, 2, 0]
profitable	1.9	0.9434	[2, 3, 0, 3, 1, 2, 1, 3, 2, 2]
profitableness	2.4	1.11355	[1, 4, 2, 4, 2, 2, 4, 2, 1, 2]
profitably	1.6	0.91652	[1, 2, 0, 3, 1, 3, 1, 1, 2, 2]
profited	1.3	1.00499	[2, 2, 2, 1, 0, 0, 1, 3, 0, 2]
profiteer	0.8	1.6	[2, -2, -1, 3, -1, 2, 1, 2, 0, 2]
profiteered	-0.5	1.9105	[0, 0, 2, -2, -3, -2, 3, 0, -3, 0]
profiteering	-0.6	2.05913	[-1, 2, -2, -4, -2, 2, 1, -2, 2, -2]
profiteers	0.5	1.5	[-2, 1, -1, -1, 1, -1, 2, 2, 2, 2]
profiter	0.7	1.55242	[2, 2, 2, 1, -1, 1, -1, 3, 0, -2]
profiterole	0.4	0.66332	[0, 0, 0, 0, 0, 1, 0, 1, 2, 0]
profiteroles	0.5	0.92195	[0, 0, -1, 2, 2, 0, 0, 1, 0, 1]
profiting	1.6	0.91652	[1, 0, 3, 2, 1, 2, 3, 1, 1, 2]
profitless	-1.5	0.92195	[-2, -2, -3, -1, -1, -1, 0, -1, -1, -3]
profits	1.9	1.04403	[2, 2, 1, 0, 2, 1, 2, 4, 3, 2]
profitwise	0.9	0.83066	[1, 2, 0, 0, 1, 2, 2, 0, 1, 0]
progress	1.8	0.74833	[3, 2, 1, 2, 3, 1, 1, 2, 2, 1]
prominent	1.3	0.45826	[2, 1, 1, 2, 1, 1, 1, 2, 1, 1]
promiscuities	-0.8	1.32665	[-1, 0, -2, -2, -1, 2, -3, -1, 0, 0]
promiscuity	-1.8	1.07703	[-1, -2, -4, -2, -3, -1, 0, -2, -1, -2]
promiscuous	-0.3	1.34536	[2, -3, -1, -1, 0, -1, 0, -1, 1, 1]
promiscuously	-1.5	1.28452	[-2, -1, -3, 2, -2, -2, -1, -2, -2, -2]
promiscuousness	-0.9	1.37477	[-3, -1, 1, -2, -2, 1, 1, -1, -2, -1]
promise	1.3	0.64031	[1, 0, 1, 1, 2, 2, 1, 1, 2, 2]
promised	1.5	0.92195	[2, 1, 1, 0, 0, 2, 2, 3, 2, 2]
promisee	0.8	0.87178	[2, 1, 0, 0, 0, 2, 0, 2, 1, 0]
promisees	1.1	0.9434	[2, 0, 1, 0, 0, 0, 2, 2, 2, 2]
promiser	1.3	0.9	[2, 1, 1, 0, 0, 2, 2, 3, 1, 1]
promisers	1.6	0.4899	[2, 1, 2, 1, 2, 1, 2, 1, 2, 2]
promises	1.6	0.8	[2, 1, 1, 0, 2, 1, 3, 2, 2, 2]
promising	1.7	0.45826	[1, 2, 2, 1, 2, 2, 1, 2, 2, 2]
promisingly	1.2	0.6	[2, 2, 1, 1, 1, 2, 1, 0, 1, 1]
promisor	1.0	0.63246	[2, 2, 0, 1, 1, 1, 0, 1, 1, 1]
promisors	0.4	0.8	[0, 0, 0, 2, 0, 2, 0, 0, 0, 0]
promissory	0.9	1.13578	[2, 0, 0, 3, 0, 2, 2, 0, 0, 0]
promote	1.6	0.8	[2, 1, 2, 3, 0, 1, 2, 2, 1, 2]
promoted	1.8	0.74833	[2, 2, 1, 1, 1, 2, 2, 1, 3, 3]
promotes	1.4	0.91652	[1, 2, 0, 0, 1, 2, 2, 1, 3, 2]
promoting	1.5	0.67082	[1, 2, 2, 1, 2, 1, 2, 0, 2, 2]
propaganda	-1.0	1.54919	[-2, -3, -2, -3, -2, 1, -1, 1, 0, 1]
prosecute	-1.7	1.00499	[-2, -2, -2, -1, -1, -2, 0, -1, -4, -2]
prosecuted	-1.6	1.95959	[-2, -2, -2, -3, -3, -3, -4, 2, 2, -1]
prosecutes	-1.8	1.53623	[-2, -2, -2, -3, -2, -2, -4, 1, 1, -3]
prosecution	-2.2	1.07703	[-4, -1, -2, -2, -3, -2, -1, -4, -1, -2]
prospect	1.2	0.87178	[1, 3, 1, 0, 2, 2, 1, 0, 1, 1]
prospects	1.2	0.6	[2, 1, 1, 1, 1, 0, 1, 2, 2, 1]
prosperous	2.1	1.86815	[-3, 3, 3, 2, 4, 2, 3, 3, 3, 1]
protect	1.6	0.8	[1, 3, 1, 1, 1, 1, 3, 2, 1, 2]
protected	1.9	0.7	[1, 1, 2, 3, 2, 2, 2, 1, 3, 2]
protects	1.3	0.78102	[2, 2, 0, 2, 1, 1, 0, 2, 2, 1]
protest	-1.0	1.34164	[-2, -1, -1, -2, -1, -2, 1, -2, 2, -2]
protested	-0.5	1.62788	[-2, -3, -1, -1, 0, 2, 2, -2, 1, -1]
protesters	-0.9	0.7	[0, 0, 0, -1, -2, -2, -1, -1, -1, -1]
protesting	-1.8	0.74833	[-2, -2, -1, -2, -1, -1, -2, -1, -3, -3]
protests	-0.9	1.57797	[-2, -2, 2, 0, -1, -2, -2, -2, 2, -2]
proud	2.1	0.3	[2, 3, 2, 2, 2, 2, 2, 2, 2, 2]
prouder	2.2	1.16619	[2, 3, 3, 4, 0, 1, 1, 3, 2, 3]
proudest	2.6	0.66332	[4, 2, 2, 2, 2, 3, 2, 3, 3, 3]
proudful	1.9	1.51327	[3, 3, 0, 1, -1, 1, 4, 3, 2, 3]
proudhearted	1.4	0.91652	[2, -1, 1, 2, 2, 1, 2, 2, 2, 1]
proudly	2.6	0.4899	[2, 2, 3, 3, 2, 3, 3, 3, 2, 3]
provoke	-1.7	0.64031	[-2, -2, -1, -1, -1, -2, -2, -1, -3, -2]
provoked	-1.1	0.83066	[-1, -1, 0, -2, -2, -2, -2, 0, 0, -1]
provokes	-1.3	0.78102	[-2, -2, -1, -2, -1, -2, -2, 0, 0, -1]
provoking	-0.8	1.249	[-2, -2, -1, -2, 1, -1, 1, 1, -1, -2]
pseudoscience	-1.2	1.32665	[-1, -1, -3, -4, 0, 0, -2, 0, 0, -1]
puke	-2.4	1.0198	[-1, -3, -3, -2, -4, -4, -2, -1, -2, -2]
puked	-1.8	0.6	[-1, -2, -2, -3, -1, -1, -2, -2, -2, -2]
pukes	-1.9	0.7	[-1, -2, -3, -3, -1, -1, -2, -2, -2, -2]
puking	-1.8	1.46969	[0, -2, -4, -3, -2, -3, 1, -1, -1, -3]
pukka	2.8	0.4	[3, 2, 3, 3, 3, 2, 3, 3, 3, 3]
punish	-2.4	0.91652	[-1, -3, -3, -4, -3, -1, -2, -2, -2, -3]
punishabilities	-1.7	0.78102	[0, -2, -3, -2, -1, -2, -2, -1, -2, -2]
punishability	-1.6	1.49666	[-2, -2, -1, -1, -2, -2, -3, 2, -4, -1]
punishable	-1.9	0.7	[-3, -1, -1, -2, -2, -1, -3, -2, -2, -2]
punished	-2.0	0.44721	[-2, -2, -1, -2, -2, -2, -2, -2, -3, -2]
punisher	-1.9	0.53852	[-3, -1, -2, -2, -2, -2, -2, -1, -2, -2]
punishers	-2.6	0.8	[-3, -3, -3, -3, -2, -2, -4, -2, -1, -3]
punishes	-2.1	0.7	[-3, -2, -3, -2, -1, -2, -2, -3, -1, -2]
punishing	-2.6	0.8	[-2, -3, -3, -3, -4, -1, -3, -2, -2, -3]
punishment	-2.2	0.6	[-2, -1, -2, -2, -3, -3, -2, -2, -2, -3]
punishments	-1.8	0.6	[-2, -2, -2, -1, -1, -2, -2, -3, -1, -2]
punitive	-2.3	0.78102	[-4, -2, -3, -1, -2, -2, -2, -2, -3, -2]
pushy	-1.1	0.83066	[-2, -2, -1, -1, -1, 1, -1, -2, -1, -1]
puzzled	-0.7	0.45826	[0, 0, -1, -1, 0, -1, -1, -1, -1, -1]
quaking	-1.5	0.67082	[-1, -2, -2, -2, -1, 0, -2, -1, -2, -2]
questionable	-1.2	0.4	[-1, -1, -1, -1, -1, -1, -1, -2, -2, -1]
questioned	-0.4	1.0198	[-2, 0, 0, -1, -1, 2, 0, 0, -1, -1]
questioning	-0.4	0.66332	[0, -1, -1, 0, 0, 0, -2, 0, 0, 0]
racism	-3.1	0.9434	[-4, -4, -4, -2, -3, -4, -2, -2, -2, -4]
racist	-3.0	0.89443	[-1, -3, -3, -4, -3, -4, -4, -2, -3, -3]
racists	-2.5	0.92195	[-3, 0, -3, -2, -2, -3, -3, -3, -3, -3]
radian	0.4	0.66332	[0, 0, 0, 0, 0, 0, 1, 2, 0, 1]
radiance	1.4	1.11355	[3, 1, 2, 3, 1, 1, -1, 1, 2, 1]
radiances	1.1	0.53852	[1, 2, 2, 1, 1, 1, 0, 1, 1, 1]
radiancies	0.8	1.16619	[-1, 0, 3, 1, 1, 1, 1, 2, -1, 1]
radiancy	1.4	0.66332	[2, 1, 1, 3, 1, 1, 1, 1, 2, 1]
radians	0.2	0.6	[0, 2, 0, 0, 0, 0, 0, 0, 0, 0]
radiant	2.1	0.83066	[4, 2, 2, 2, 2, 1, 1, 3, 2, 2]
radiantly	1.3	0.78102	[3, 2, 1, 1, 1, 1, 1, 0, 1, 2]
radiants	1.2	0.6	[2, 1, 0, 2, 1, 1, 1, 2, 1, 1]
rage	-2.6	0.8	[-3, -2, -2, -3, -3, -4, -1, -2, -3, -3]
raged	-2.0	0.63246	[-2, -1, -1, -3, -3, -2, -2, -2, -2, -2]
ragee	-0.4	1.42829	[-2, -1, 0, 3, 0, -2, -2, 0, 0, 0]
rageful	-2.8	0.6	[-3, -3, -3, -3, -2, -4, -2, -3, -2, -3]
rages	-2.1	0.7	[-3, -1, -1, -3, -3, -2, -2, -2, -2, -2]
raging	-2.4	1.0198	[-1, -3, -3, -1, -3, -3, -1, -4, -2, -3]
rainy	-0.3	0.64031	[-1, 0, 1, 0, 0, 0, -1, 0, -1, -1]
rancid	-2.5	1.11803	[-3, -3, -3, -2, -3, 0, -3, -1, -4, -3]
rancidity	-2.6	0.8	[-4, -3, -3, -2, -2, -2, -2, -2, -2, -4]
rancidly	-2.5	1.20416	[-2, -1, -4, -3, -4, -1, -2, -3, -4, -1]
rancidness	-2.6	0.91652	[-3, -4, -2, -3, -4, -2, -3, -1, -2, -2]
rancidnesses	-1.6	0.4899	[-2, -1, -2, -1, -1, -2, -2, -2, -1, -2]
rant	-1.4	0.66332	[-1, -2, -2, -1, -2, -2, -2, -1, 0, -1]
ranter	-1.2	1.16619	[-1, -2, -2, -2, -1, -1, -1, -2, 2, -2]
ranters	-1.2	0.87178	[-1, -1, -1, 0, -1, -1, -3, -2, 0, -2]
rants	-1.3	0.45826	[-1, -1, -1, -2, -1, -1, -1, -2, -2, -1]
rape	-3.7	0.64031	[-4, -2, -4, -4, -4, -4, -4, -4, -3, -4]
raped	-3.6	0.4899	[-3, -3, -4, -4, -3, -4, -4, -4, -3, -4]
raper	-3.4	0.66332	[-3, -3, -4, -4, -3, -3, -4, -4, -2, -4]
rapers	-3.6	0.66332	[-2, -4, -4, -3, -4, -3, -4, -4, -4, -4]
rapes	-3.5	0.67082	[-4, -3, -4, -4, -3, -4, -4, -3, -2, -4]
rapeseeds	-0.5	1.20416	[0, 0, 0, 0, 0, -4, 0, 0, -1, 0]
raping	-3.8	0.4	[-3, -4, -4, -4, -4, -4, -4, -4, -3, -4]
rapist	-3.9	0.3	[-4, -4, -4, -4, -4, -4, -3, -4, -4, -4]
rapists	-3.3	0.64031	[-3, -3, -4, -3, -4, -3, -4, -2, -4, -3]
rapture	0.6	2.2891	[-2, 2, -2, 3, 3, 4, -1, -1, 2, -2]
raptured	0.9	1.97231	[0, -2, 0, 2, 4, -1, 4, -1, 1, 2]
raptures	0.7	2.05183	[0, -2, 0, 2, 4, -2, 4, -1, 1, 1]
rapturous	1.7	1.95192	[3, 4, 0, 3, 2, 2, 4, -2, -1, 2]
rash	-1.7	0.78102	[-2, -1, -1, -3, -2, -2, -1, -1, -1, -3]
ratified	0.6	0.4899	[1, 0, 0, 1, 1, 0, 1, 1, 0, 1]
reach	0.1	0.3	[0, 0, 0, 0, 0, 0, 0, 1, 0, 0]
reached	0.4	0.4899	[1, 0, 0, 0, 1, 1, 0, 1, 0, 0]
reaches	0.2	0.4	[0, 0, 0, 1, 0, 1, 0, 0, 0, 0]
reaching	0.8	0.6	[1, 0, 2, 0, 1, 0, 1, 1, 1, 1]
readiness	1.0	0.63246	[1, 1, 1, 1, 0, 1, 2, 1, 2, 0]
ready	1.5	1.0247	[2, 1, 1, 0, 2, 2, 1, 1, 1, 4]
reassurance	1.5	0.5	[1, 1, 1, 1, 2, 1, 2, 2, 2, 2]
reassurances	1.4	0.8	[0, 1, 1, 2, 1, 1, 1, 2, 3, 2]
reassure	1.4	0.4899	[2, 2, 1, 1, 2, 1, 2, 1, 1, 1]
reassured	1.7	0.45826	[2, 1, 1, 1, 2, 2, 2, 2, 2, 2]
reassures	1.5	0.92195	[2, 1, 1, 2, 2, 2, -1, 2, 2, 2]
reassuring	1.7	1.48661	[3, 3, 2, -2, 1, 3, 3, 2, 1, 1]
reassuringly	1.8	0.87178	[1, 3, 2, 1, 2, 3, 3, 1, 1, 1]
rebel	-0.6	1.49666	[-2, -1, -1, 0, -2, -1, 2, 1, 1, -3]
rebeldom	-1.5	1.0247	[-2, -2, -1, -3, -2, -2, -1, 1, -1, -2]
rebelled	-1.0	1.26491	[-2, -2, 0, -2, 0, -2, -2, -1, -1, 2]
rebelling	-1.1	1.51327	[-3, -1, -2, -1, -2, -1, -1, -3, 2, 1]
rebellion	-0.5	1.80278	[-2, -2, -1, -1, 3, -1, 1, -3, 2, -1]
rebellions	-1.1	1.57797	[-2, -4, -3, 0, 0, -1, 1, -2, -1, 1]
rebellious	-1.2	1.249	[-2, -1, -3, -1, -2, -2, 1, -1, 1, -2]
rebelliously	-1.8	0.87178	[-3, 0, -2, -2, -1, -2, -3, -1, -2, -2]
rebelliousness	-1.2	1.16619	[0, -3, -1, -2, 1, -1, -2, 0, -2, -2]
rebels	-0.8	1.07703	[-1, 0, 0, -2, 0, -3, 0, 0, 0, -2]
recession	-1.8	1.07703	[-3, -1, -4, -2, -1, -1, -1, -1, -3, -1]
reckless	-1.7	0.64031	[-2, -1, -1, -3, -1, -2, -1, -2, -2, -2]
recommend	1.5	0.67082	[1, 1, 1, 1, 2, 3, 2, 2, 1, 1]
recommended	0.8	1.07703	[1, 1, 0, -2, 1, 2, 1, 2, 1, 1]
recommends	0.9	0.9434	[1, 1, 2, 0, 0, 2, 1, -1, 2, 1]
redeemed	1.3	0.9	[2, 1, 2, 2, 1, -1, 2, 1, 2, 1]
reek	-2.4	0.66332	[-3, -3, -2, -3, -3, -2, -2, -2, -1, -3]
reeked	-2.0	1.09545	[-4, -3, -2, -3, -1, -2, 0, -1, -2, -2]
reeker	-1.7	1.1	[0, -2, -1, 0, -3, -3, -2, -1, -3, -2]
reekers	-1.5	1.0247	[-3, 0, 0, 0, -2, -2, -2, -2, -2, -2]
reeking	-2.0	1.48324	[2, -2, -2, -3, -3, -3, -1, -3, -3, -2]
refuse	-1.2	0.4	[-1, -1, -1, -1, -1, -1, -1, -2, -2, -1]
refused	-1.2	0.74833	[0, -1, -1, -1, -1, -1, -2, -1, -3, -1]
refusing	-1.7	0.64031	[-1, -1, -1, -2, -2, -2, -3, -1, -2, -2]
regret	-1.8	0.6	[-2, -2, -2, -2, -1, -3, -1, -1, -2, -2]
regretful	-1.9	0.83066	[-1, -2, -1, -2, -1, -2, -1, -3, -3, -3]
regretfully	-1.9	0.83066	[-1, -1, -1, -3, -2, -3, -1, -3, -2, -2]
regretfulness	-1.6	0.66332	[-1, -3, -1, -1, -1, -2, -1, -2, -2, -2]
regrets	-1.5	0.5	[-2, -2, -2, -1, -2, -1, -1, -2, -1, -1]
regrettable	-2.3	0.78102	[-3, -1, -2, -1, -3, -2, -3, -3, -2, -3]
regrettably	-2.0	0.63246	[-2, -3, -1, -3, -2, -1, -2, -2, -2, -2]
regretted	-1.6	0.4899	[-2, -1, -2, -2, -2, -2, -1, -1, -1, -2]
regretter	-1.6	0.66332	[-2, -1, -2, -2, -3, -2, -1, -1, -1, -1]
regretters	-2.0	0.89443	[-1, -2, -2, -2, -4, -3, -1, -1, -2, -2]
regretting	-1.7	0.78102	[-3, -2, -2, -1, -3, -1, -1, -1, -2, -1]
reinvigorate	2.3	0.78102	[3, 3, 3, 2, 3, 1, 2, 1, 2, 3]
reinvigorated	1.9	1.13578	[2, 2, 3, 1, 2, 3, 3, -1, 2, 2]
reinvigorates	1.8	0.9798	[2, 2, 3, 0, 2, 2, 3, 0, 2, 2]
reinvigorating	1.7	0.64031	[1, 2, 1, 1, 2, 2, 2, 1, 3, 2]
reinvigoration	2.2	0.4	[2, 2, 2, 3, 2, 3, 2, 2, 2, 2]
reject	-1.7	0.64031	[-1, -2, -2, -2, -1, -3, -1, -1, -2, -2]
rejected	-2.3	0.45826	[-3, -2, -3, -3, -2, -2, -2, -2, -2, -2]
rejectee	-2.3	0.45826	[-3, -2, -2, -3, -2, -3, -2, -2, -2, -2]
rejectees	-1.8	0.4	[-2, -2, -1, -2, -2, -2, -2, -2, -2, -1]
rejecter	-1.6	0.66332	[-2, -1, -1, -3, -2, -2, -1, -1, -1, -2]
rejecters	-1.8	0.6	[-2, -3, -1, -1, -2, -1, -2, -2, -2, -2]
rejecting	-2.0	0.7746	[-1, -2, -3, -1, -2, -3, -2, -1, -3, -2]
rejectingly	-1.7	0.64031	[-1, -2, -2, -2, -1, -2, -2, -1, -3, -1]
rejection	-2.5	0.67082	[-3, -3, -2, -4, -3, -2, -2, -2, -2, -2]
rejections	-2.1	0.53852	[-3, -2, -2, -2, -1, -2, -3, -2, -2, -2]
rejective	-1.8	0.6	[-3, -2, -2, -2, -1, -1, -2, -2, -1, -2]
rejector	-1.8	0.74833	[-2, -1, -2, -3, -1, -2, -1, -2, -3, -1]
rejects	-2.2	0.4	[-3, -2, -2, -2, -2, -3, -2, -2, -2, -2]
rejoice	1.9	0.9434	[2, 3, 1, 3, 1, 3, 1, 3, 1, 1]
rejoiced	2.0	0.63246	[2, 1, 2, 3, 2, 2, 3, 1, 2, 2]
rejoices	2.1	0.7	[2, 1, 2, 3, 2, 3, 3, 2, 2, 1]
rejoicing	2.8	0.4	[3, 3, 2, 3, 3, 3, 2, 3, 3, 3]
relax	1.9	1.13578	[2, 1, 1, 1, 4, 4, 2, 1, 1, 2]
relaxant	1.0	0.89443	[2, 1, 0, 0, 1, 0, 1, 3, 1, 1]
relaxants	0.7	0.9	[0, 1, 1, 0, -1, 2, 1, 2, 1, 0]
relaxation	2.4	0.4899	[3, 2, 3, 2, 2, 3, 3, 2, 2, 2]
relaxations	1.0	0.89443	[-1, 0, 2, 1, 1, 2, 1, 2, 1, 1]
relaxed	2.2	0.87178	[2, 3, 1, 3, 3, 3, 1, 2, 1, 3]
relaxedly	1.5	0.5	[2, 2, 1, 1, 2, 1, 2, 2, 1, 1]
relaxedness	2.0	0.63246	[2, 2, 3, 1, 3, 2, 2, 2, 1, 2]
relaxer	1.6	0.8	[0, 2, 1, 2, 1, 3, 1, 2, 2, 2]
relaxers	1.4	0.4899	[2, 1, 1, 1, 2, 2, 2, 1, 1, 1]
relaxes	1.5	0.5	[2, 1, 1, 1, 1, 2, 2, 2, 1, 2]
relaxin	1.7	0.64031	[2, 2, 1, 2, 0, 2, 2, 2, 2, 2]
relaxing	2.2	0.6	[1, 2, 2, 2, 2, 3, 3, 3, 2, 2]
relaxins	1.2	1.4	[1, 3, 2, 1, 0, 1, -2, 3, 2, 1]
relentless	0.2	1.07703	[3, -1, 0, -1, 0, 1, 0, 0, 0, 0]
reliant	0.5	1.20416	[0, 2, -1, 1, 0, 1, 2, -1, 2, -1]
relief	2.1	0.53852	[2, 2, 2, 3, 2, 3, 2, 1, 2, 2]
reliefs	1.3	0.78102	[1, 2, 2, 2, 2, 2, 0, 0, 1, 1]
relievable	1.1	1.22066	[1, -2, 1, 1, 1, 1, 3, 2, 1, 2]
relieve	1.5	0.5	[1, 2, 1, 2, 1, 1, 2, 2, 1, 2]
relieved	1.6	0.66332	[2, 1, 2, 1, 1, 3, 2, 1, 1, 2]
relievedly	1.4	0.4899	[1, 2, 1, 1, 1, 2, 2, 2, 1, 1]
reliever	1.5	0.80623	[2, 1, 2, 2, 1, 2, 0, 1, 1, 3]
relievers	1.0	0.63246	[1, 1, 1, 1, 2, 0, 2, 0, 1, 1]
relieves	1.5	0.80623	[2, 1, 2, 2, 1, 2, 0, 1, 1, 3]
relieving	1.5	1.0247	[2, 2, 1, 2, 3, -1, 2, 1, 1, 2]
relievo	1.3	1.00499	[0, 2, 1, 2, 2, -1, 2, 2, 2, 1]
relishing	1.6	0.8	[1, 2, 1, 3, 2, 3, 1, 1, 1, 1]
reluctance	-1.4	0.4899	[-2, -2, -1, -1, -1, -1, -2, -1, -2, -1]
reluctancy	-1.6	0.8	[-3, -2, -1, -1, -1, -1, -2, -1, -3, -1]
reluctant	-1.0	0.7746	[0, -1, 0, -1, -1, 0, -1, -2, -2, -2]
reluctantly	-0.4	1.42829	[-1, 2, -1, -2, -2, -1, 1, -1, 2, -1]
remarkable	2.6	1.0198	[3, 4, 3, 2, 2, 3, 3, 0, 3, 3]
remorse	-1.1	1.51327	[-3, -1, -3, 1, 2, -2, -1, -1, -2, -1]
remorseful	-0.9	2.07123	[-1, 1, -2, -3, 2, -1, -3, -2, 3, -3]
remorsefully	-0.7	1.34536	[-1, -1, 0, -1, -2, -1, -1, 1, -3, 2]
remorsefulness	-0.7	1.61555	[-1, -2, 2, -2, -2, -1, 0, -3, 2, 0]
remorseless	-2.3	0.64031	[-4, -2, -2, -2, -3, -2, -2, -2, -2, -2]
remorselessly	-2.0	1.09545	[-3, -3, -3, -2, -1, -1, -4, -1, -1, -1]
remorselessness	-2.8	1.16619	[-3, -4, -2, -2, -3, -4, -1, -1, -4, -4]
repetitive	-1.0	0.06325	[-1, -1, 0, -2, -1, -2, -1, -1, 0, -1]
repress	-1.4	0.66332	[-1, -1, -3, -2, -1, -1, -2, -1, -1, -1]
repressed	-1.3	0.78102	[-1, 0, -3, -1, -1, -2, -1, -1, -2, -1]
represses	-1.3	1.00499	[-1, 0, -3, -1, 0, -3, -1, -1, -2, -1]
repressible	-1.5	0.92195	[-1, -2, -3, -1, 0, -1, -3, -1, -2, -1]
repressing	-1.8	0.6	[-1, -2, -2, -2, -1, -3, -2, -1, -2, -2]
repression	-1.6	0.91652	[-2, -2, -1, -1, -1, -1, -4, -1, -2, -1]
repressions	-1.7	1.00499	[-2, -3, -1, -2, -2, -3, -2, 0, 0, -2]
repressive	-1.4	1.11355	[-3, -1, -1, -2, -1, -3, 1, -2, -1, -1]
repressively	-1.7	0.45826	[-2, -1, -2, -2, -2, -2, -2, -2, -1, -1]
repressiveness	-1.0	1.73205	[-2, -1, -2, -3, -1, -1, 1, -3, 3, -1]
repressor	-1.4	1.28062	[-1, 0, -3, -1, -2, -4, 0, -1, 0, -2]
repressors	-2.2	1.66132	[-2, -4, 0, -2, -1, -3, -4, -3, 1, -4]
repressurize	-0.3	0.64031	[0, 0, 0, 0, 0, 0, -2, 0, -1, 0]
repressurized	0.1	0.3	[0, 0, 0, 0, 1, 0, 0, 0, 0, 0]
repressurizes	0.1	0.3	[0, 0, 0, 0, 1, 0, 0, 0, 0, 0]
repressurizing	-0.1	0.3	[0, 0, 0, 0, -1, 0, 0, 0, 0, 0]
repulse	-2.8	0.4	[-3, -3, -3, -3, -2, -3, -3, -3, -2, -3]
repulsed	-2.2	0.9798	[0, -2, -2, -2, -3, -3, -1, -3, -3, -3]
rescue	2.3	0.78102	[1, 3, 1, 3, 2, 3, 3, 2, 2, 3]
rescued	1.8	1.53623	[3, 2, 2, -2, 3, 2, 1, 4, 1, 2]
rescues	1.3	0.78102	[3, 2, 0, 2, 1, 1, 1, 1, 1, 1]
resent	-0.7	1.26886	[-2, -2, 0, -1, -1, -1, -2, 1, 2, -1]
resented	-1.6	1.35647	[-2, -3, -2, -2, -1, -1, 2, -3, -2, -2]
resentence	-1.0	0.7746	[-1, 0, -1, -1, 0, -2, -1, 0, -2, -2]
resentenced	-0.8	0.9798	[0, -2, -1, 0, -1, 0, 0, 0, -3, -1]
resentences	-0.6	0.8	[0, -2, -1, 0, -1, 0, 0, 0, -2, 0]
resentencing	0.2	0.87178	[-1, -1, 0, 1, 0, 0, 1, 2, 0, 0]
resentful	-2.1	0.83066	[-3, -1, -2, -3, -1, -1, -3, -2, -2, -3]
resentfully	-1.4	1.11355	[-1, -2, -1, -1, -3, 1, -1, -3, -1, -2]
resentfulness	-2.0	0.7746	[-2, -2, -3, -3, -2, -3, -2, -1, -1, -1]
resenting	-1.2	1.72047	[-2, -1, -2, -2, -1, -3, -3, 2, 2, -2]
resentment	-1.9	0.83066	[-1, -3, -2, -3, -2, -3, -1, -1, -1, -2]
resentments	-1.9	0.7	[-2, -1, -2, -3, -1, -2, -2, -2, -1, -3]
resents	-1.2	1.32665	[-2, -1, -1, -3, 1, -1, 1, -3, -2, -1]
resign	-1.4	0.66332	[-2, -1, -3, -1, -1, -1, -1, -2, -1, -1]
resignation	-1.2	0.4	[-1, -1, -1, -2, -1, -1, -1, -1, -2, -1]
resignations	-1.2	0.6	[0, -1, -1, -2, -2, -2, -1, -1, -1, -1]
resigned	-1.0	0.63246	[-2, -1, 0, -1, -2, -1, -1, -1, 0, -1]
resignedly	-0.7	1.26886	[-3, -1, -1, -1, -1, 1, 1, 1, -2, -1]
resignedness	-0.8	1.07703	[-1, -2, 1, -2, -1, -1, 0, -2, -1, 1]
resigner	-1.2	0.6	[-2, -1, 0, -1, -2, -2, -1, -1, -1, -1]
resigners	-1.0	1.09545	[-1, 0, -1, -3, -1, 0, 0, -1, -3, 0]
resigning	-0.9	1.22066	[-1, -1, -1, -1, -1, 0, -1, -3, -2, 2]
resigns	-1.3	0.9	[0, -1, -1, 0, -2, -1, -3, -1, -2, -2]
resolute	1.1	0.53852	[2, 1, 0, 1, 1, 1, 2, 1, 1, 1]
resolvable	1.0	0.0	[1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
resolve	1.6	0.66332	[2, 1, 1, 2, 2, 1, 3, 1, 1, 2]
resolved	0.7	0.78102	[1, 2, 0, 1, 1, 0, 2, 0, 0, 0]
resolvent	0.7	0.78102	[1, 0, 1, 2, 0, -1, 1, 1, 1, 1]
resolvents	0.4	0.66332	[2, 0, 0, 1, 0, 0, 1, 0, 0, 0]
resolver	0.7	0.78102	[1, 2, 0, 1, 1, 0, 2, 0, 0, 0]
resolvers	1.4	0.4899	[2, 1, 2, 1, 1, 1, 2, 1, 2, 1]
resolves	0.7	0.78102	[1, 2, 0, 1, 1, 0, 2, 0, 0, 0]
resolving	1.6	0.4899	[2, 2, 1, 2, 2, 1, 1, 1, 2, 2]
respect	2.1	0.53852	[2, 2, 2, 2, 3, 3, 2, 2, 1, 2]
respectabilities	1.8	0.4	[2, 2, 2, 1, 2, 2, 2, 1, 2, 2]
respectability	2.4	0.8	[4, 1, 3, 2, 3, 3, 2, 2, 2, 2]
respectable	1.9	0.7	[2, 2, 2, 2, 1, 3, 3, 1, 1, 2]
respectableness	1.2	1.32665	[2, 1, 1, 0, 3, 2, -2, 2, 2, 1]
respectably	1.7	0.78102	[2, 2, 1, 3, 1, 3, 2, 1, 1, 1]
respected	2.1	0.7	[2, 2, 1, 2, 3, 1, 2, 3, 3, 2]
respecter	2.1	0.53852	[3, 2, 2, 2, 2, 2, 1, 3, 2, 2]
respecters	1.6	0.8	[2, 1, 2, 2, 3, 1, 2, 2, 0, 1]
respectful	2.0	0.7746	[1, 1, 3, 2, 2, 3, 1, 2, 3, 2]
respectfully	1.7	0.64031	[1, 2, 1, 2, 2, 2, 1, 3, 1, 2]
respectfulness	1.9	1.37477	[4, 2, 2, 1, 2, 4, -1, 1, 2, 2]
respectfulnesses	1.3	1.18743	[1, 1, 2, 2, 2, 2, 2, 1, -2, 2]
respecting	2.2	0.6	[1, 3, 2, 3, 2, 2, 3, 2, 2, 2]
respective	1.8	1.16619	[2, 2, 3, 0, 1, 3, 3, 1, 0, 3]
respectively	1.4	0.91652	[0, 0, 2, 2, 0, 2, 2, 2, 2, 2]
respectiveness	1.1	1.04403	[0, 2, 1, 0, 1, 0, 2, 2, 0, 3]
respects	1.3	1.00499	[2, 0, 0, 0, 2, 1, 2, 1, 2, 3]
responsible	1.3	1.1	[1, 1, 0, 4, 2, 2, 1, 0, 1, 1]
responsive	1.5	0.92195	[3, 1, 1, 0, 1, 1, 2, 3, 2, 1]
restful	1.5	0.67082	[1, 1, 1, 1, 2, 1, 2, 1, 2, 3]
restless	-1.1	0.3	[-1, -1, -1, -1, -1, -1, -2, -1, -1, -1]
restlessly	-1.4	0.91652	[-1, -4, -1, -1, -1, -2, -1, -1, -1, -1]
restlessness	-1.2	0.74833	[-3, -1, -1, 0, -1, -2, -1, -1, -1, -1]
restore	1.2	0.9798	[1, 1, 2, 2, 2, 2, 1, -1, 0, 2]
restored	1.4	0.91652	[2, 2, 1, 2, 1, 2, 2, 1, -1, 2]
restores	1.2	0.6	[2, 1, 1, 2, 1, 0, 1, 1, 2, 1]
restoring	1.2	0.4	[2, 1, 1, 1, 1, 2, 1, 1, 1, 1]
restrict	-1.6	0.8	[-3, -1, -1, -1, -3, -1, -2, -1, -1, -2]
restricted	-1.6	0.4899	[-1, -2, -1, -1, -1, -2, -2, -2, -2, -2]
restricting	-1.6	0.4899	[-2, -2, -2, -2, -1, -2, -1, -1, -2, -1]
restriction	-1.1	0.9434	[-1, -1, -1, -1, -3, 1, -2, -1, -1, -1]
restricts	-1.3	1.1	[-2, -2, -3, -1, -1, -2, 1, -1, -2, 0]
retained	0.1	0.7	[-1, 1, 1, 1, 0, -1, 0, 0, 0, 0]
retard	-2.4	0.8	[-2, -2, -2, -1, -3, -2, -4, -3, -3, -2]
retarded	-2.7	1.26886	[-4, -1, -3, -3, -4, -4, -2, -1, -1, -4]
retreat	0.8	1.07703	[2, 2, 0, 0, -1, 1, 2, 0, 2, 0]
revenge	-2.4	0.66332	[-2, -3, -2, -3, -3, -3, -2, -1, -2, -3]
revenged	-0.9	1.37477	[-2, -3, -2, -1, -1, 2, -1, 1, -1, -1]
revengeful	-2.4	0.4899	[-2, -2, -2, -3, -3, -2, -3, -3, -2, -2]
revengefully	-1.4	2.00998	[-3, -2, -2, -2, 3, 2, -3, -3, -2, -2]
revengefulness	-2.2	0.87178	[-2, -3, -3, -2, -2, -2, -1, -4, -1, -2]
revenger	-2.1	0.83066	[-2, -3, -2, -1, -1, -2, -3, -3, -1, -3]
revengers	-2.0	0.44721	[-2, -2, -3, -2, -2, -2, -1, -2, -2, -2]
revenges	-1.9	0.7	[-2, -3, -2, -1, -1, -2, -3, -2, -1, -2]
revered	2.3	1.1	[3, 3, 1, 3, 3, 3, 0, 3, 3, 1]
revive	1.4	1.11355	[4, 0, 2, 1, 1, 0, 2, 2, 1, 1]
revives	1.6	0.4899	[1, 1, 2, 2, 1, 2, 2, 2, 1, 2]
reward	2.7	0.78102	[3, 4, 1, 2, 3, 3, 2, 3, 3, 3]
rewardable	2.0	1.0	[3, 1, 4, 3, 1, 2, 1, 2, 2, 1]
rewarded	2.2	0.74833	[1, 2, 3, 2, 2, 4, 2, 2, 2, 2]
rewarder	1.6	0.8	[1, 2, 3, 1, 1, 3, 2, 1, 1, 1]
rewarders	1.9	0.83066	[1, 2, 2, 1, 3, 3, 1, 2, 1, 3]
rewarding	2.4	0.8	[3, 4, 2, 2, 1, 3, 3, 2, 2, 2]
rewardingly	2.4	0.8	[3, 2, 3, 4, 3, 2, 2, 2, 1, 2]
rewards	2.1	0.83066	[2, 1, 3, 4, 2, 2, 2, 2, 1, 2]
rich	2.6	0.8	[2, 3, 2, 4, 4, 3, 2, 2, 2, 2]
richened	1.9	0.83066	[3, 2, 2, 1, 3, 1, 2, 3, 1, 1]
richening	1.0	1.34164	[2, 2, 0, 0, -1, 1, 2, 3, -1, 2]
richens	0.8	0.9798	[1, 0, 3, 0, 0, 0, 1, 2, 1, 0]
richer	2.4	1.2	[1, 4, 2, 1, 2, 4, 4, 1, 3, 2]
riches	2.4	1.0198	[2, 4, 1, 1, 2, 4, 3, 2, 3, 2]
richest	2.4	1.11355	[4, 4, 2, 2, 3, 0, 2, 2, 3, 2]
richly	1.9	0.53852	[2, 2, 2, 2, 3, 1, 2, 2, 1, 2]
richness	2.2	0.74833	[2, 3, 2, 2, 2, 2, 2, 1, 4, 2]
richnesses	2.1	0.9434	[2, 1, 2, 2, 3, 1, 3, 1, 4, 2]
richweed	0.1	0.3	[0, 0, 0, 0, 0, 0, 0, 1, 0, 0]
richweeds	-0.1	0.3	[0, 0, 0, 0, 0, 0, 0, 0, 0, -1]
ridicule	-2.0	0.63246	[-2, -2, -2, -2, -3, -2, -1, -2, -1, -3]
ridiculed	-1.5	0.5	[-1, -1, -1, -2, -2, -2, -1, -2, -1, -2]
ridiculer	-1.6	0.91652	[-1, -1, -1, -2, -2, 0, -1, -3, -2, -3]
ridiculers	-1.6	0.66332	[-2, -1, -1, -2, -3, -2, -1, -2, -1, -1]
ridicules	-1.8	0.6	[-1, -1, -2, -2, -2, -2, -1, -2, -2, -3]
ridiculing	-1.8	0.6	[-2, -3, -2, -1, -1, -2, -2, -1, -2, -2]
ridiculous	-1.5	0.67082	[-3, -2, -1, -1, -2, -1, -2, -1, -1, -1]
ridiculously	-1.4	0.8	[-1, -2, -1, 0, -2, -1, -1, -3, -1, -2]
ridiculousness	-1.1	1.51327	[-1, -1, -1, -2, -1, 3, -3, -2, -1, -2]
ridiculousnesses	-1.6	1.11355	[-3, 0, -2, -2, -1, -1, -1, -4, -1, -1]
rig	-0.5	1.0247	[0, 0, 0, 0, -2, 0, 0, 0, -3, 0]
rigged	-1.5	1.0247	[-2, -3, -2, -1, -1, -2, 1, -1, -2, -2]
rigid	-0.5	0.67082	[-2, -1, 0, 0, 0, 0, 0, -1, -1, 0]
rigidification	-1.1	0.9434	[-1, -2, 0, 0, 0, -2, -2, -2, 0, -2]
rigidifications	-0.8	0.9798	[-2, -1, 0, 0, -2, -1, 0, 1, -2, -1]
rigidified	-0.7	1.00499	[0, -1, 0, 0, 0, 0, -2, 0, -1, -3]
rigidifies	-0.6	0.8	[0, -1, 0, 0, 0, 0, -2, 0, -1, -2]
rigidify	-0.3	0.64031	[0, 0, 0, 0, -1, 0, 0, 0, -2, 0]
rigidities	-0.7	0.78102	[0, -1, 0, 0, 0, 0, -2, -1, -1, -2]
rigidity	-0.7	0.64031	[-1, 0, -1, 0, -1, 0, -2, 0, -1, -1]
rigidly	-0.7	0.45826	[-1, -1, -1, -1, 0, 0, -1, 0, -1, -1]
rigidness	-0.3	1.00499	[0, -1, -1, 0, 2, -1, -1, -1, 1, -1]
rigorous	-1.1	1.51327	[-2, -3, 1, 0, 1, 0, -1, -1, -3, -3]
rigorously	-0.4	1.28062	[0, 2, 1, 0, -1, 0, -1, -1, -3, -1]
riot	-2.6	1.0198	[-3, 0, -3, -2, -3, -3, -3, -4, -3, -2]
riots	-2.3	0.78102	[-2, -3, -3, -2, -1, -1, -3, -2, -3, -3]
risk	-1.1	0.7	[-1, -1, 0, -2, -1, 0, -2, -2, -1, -1]
risked	-0.9	0.7	[-1, -2, 0, 0, -1, 0, -2, -1, -1, -1]
risker	-0.8	0.4	[-1, -1, -1, 0, -1, 0, -1, -1, -1, -1]
riskier	-1.4	0.91652	[0, -3, -1, 0, -1, -2, -1, -2, -2, -2]
riskiest	-1.5	1.0247	[-2, -3, -1, -1, -3, 0, -1, -2, 0, -2]
riskily	-0.7	1.34536	[-1, -2, -1, -1, 3, 0, -1, -1, -1, -2]
riskiness	-1.3	1.00499	[-3, -1, -1, 0, -1, 0, -1, -3, -2, -1]
riskinesses	-1.6	0.91652	[-2, -1, -1, 0, -3, -1, -2, -1, -3, -2]
risking	-1.3	1.1	[0, 0, -2, 0, -1, -3, -3, -1, -2, -1]
riskless	1.3	0.9	[2, 1, 0, 1, 1, 1, 2, 3, 0, 2]
risks	-1.1	0.9434	[-1, 0, -1, -1, 0, 0, -2, -1, -3, -2]
risky	-0.8	0.9798	[-1, 1, -1, -1, -1, 0, 0, -1, -3, -1]
rob	-2.6	0.8	[-2, -4, -3, -2, -3, -4, -2, -2, -2, -2]
robber	-2.6	1.0198	[-4, -1, -2, -3, -2, -1, -4, -3, -3, -3]
robed	-0.7	0.9	[-2, 0, 0, 0, 0, -2, 0, -2, -1, 0]
robing	-1.5	1.56525	[0, 0, 0, 0, -2, -3, -3, -4, -3, 0]
robs	-2.0	1.0	[-2, -1, -3, -2, -2, -1, -4, -3, -1, -1]
robust	1.4	1.42829	[1, 0, 0, 1, 4, 0, 2, 3, 3, 0]
roflcopter	2.1	0.53852	[2, 2, 2, 1, 3, 2, 3, 2, 2, 2]
romance	2.6	0.66332	[2, 3, 4, 2, 3, 2, 3, 2, 3, 2]
romanced	2.2	0.87178	[2, 3, 2, 4, 2, 1, 2, 3, 1, 2]
romancer	1.3	1.1	[0, 0, 2, 2, 2, 2, 3, 2, 0, 0]
romancers	1.7	1.00499	[0, 2, 2, 2, 2, 2, 1, 3, 0, 3]
romances	1.3	0.9	[0, 1, 2, 2, 2, 2, 2, 2, 0, 0]
romancing	2.0	0.89443	[4, 1, 1, 2, 2, 2, 2, 1, 3, 2]
romantic	1.7	0.78102	[2, 2, 2, 1, 2, 3, 2, 2, 0, 1]
romantically	1.8	0.87178	[3, 1, 2, 0, 1, 2, 2, 2, 3, 2]
romanticise	1.7	1.61555	[-1, 4, 2, 1, 3, 1, 3, 3, 2, -1]
romanticised	1.7	0.9	[2, 2, 2, 2, 2, 2, 3, 0, 2, 0]
romanticises	1.3	1.1	[2, 2, 1, 1, 1, 2, 3, -1, 2, 0]
romanticising	2.7	0.78102	[3, 3, 3, 2, 1, 3, 2, 3, 4, 3]
romanticism	2.2	1.32665	[1, 4, 2, 1, 3, 1, 3, 3, 4, 0]
romanticisms	2.1	0.9434	[2, 3, 2, 1, 2, 3, 3, 2, 3, 0]
romanticist	1.9	1.3	[1, 4, 2, 0, 3, 1, 2, 3, 3, 0]
romanticists	1.3	1.00499	[2, 0, 0, 1, 3, 3, 1, 1, 1, 1]
romanticization	1.5	1.36015	[1, 3, 2, 2, -1, 2, 0, 1, 4, 1]
romanticizations	2.0	1.0	[4, 1, 3, 1, 2, 3, 1, 2, 2, 1]
romanticize	1.8	0.9798	[2, 2, 1, 1, 2, 1, 3, 3, 3, 0]
romanticized	0.9	1.22066	[0, 1, 1, 3, -1, 0, 1, 1, 3, 0]
romanticizes	1.8	0.87178	[2, 3, 2, 1, 2, 3, 0, 1, 2, 2]
romanticizing	1.2	1.07703	[0, 1, 2, 1, 3, 0, 1, 1, 0, 3]
romantics	1.9	0.83066	[2, 3, 2, 1, 0, 2, 3, 2, 2, 2]
rotten	-2.3	0.78102	[-2, -3, -1, -3, -3, -1, -3, -2, -3, -2]
rude	-2.0	0.44721	[-2, -1, -3, -2, -2, -2, -2, -2, -2, -2]
rudely	-2.2	0.87178	[-3, -2, -3, -1, -2, -4, -2, -2, -1, -2]
rudeness	-1.5	0.67082	[-2, -1, -1, -1, -1, -3, -2, -2, -1, -1]
ruder	-2.1	0.83066	[-2, -1, -4, -2, -3, -1, -2, -2, -2, -2]
ruderal	-0.8	1.46969	[-3, 0, -1, -2, 0, -1, -3, 0, 2, 0]
ruderals	-0.4	0.66332	[0, -1, 0, -2, 0, -1, 0, 0, 0, 0]
rudesby	-2.0	0.7746	[-2, -3, -2, -2, -1, -3, -1, -1, -2, -3]
rudest	-2.5	0.5	[-3, -2, -3, -3, -2, -2, -2, -3, -2, -3]
ruin	-2.8	0.87178	[-3, -3, -1, -4, -4, -3, -3, -2, -2, -3]
ruinable	-1.6	0.8	[-1, -2, -1, -3, -1, -3, -1, -1, -2, -1]
ruinate	-2.8	0.87178	[-4, -4, -3, -3, -1, -3, -3, -3, -2, -2]
ruinated	-1.5	1.56525	[0, -4, 0, -4, -1, -2, 0, -1, -3, 0]
ruinates	-1.5	1.56525	[0, -4, 0, -4, -1, -2, 0, -1, -3, 0]
ruinating	-1.5	1.20416	[-2, -2, -2, -3, 0, -1, 1, -3, -1, -2]
ruination	-2.7	1.00499	[-4, -4, -3, -3, -2, -1, -3, -3, -3, -1]
ruinations	-1.6	1.35647	[-2, -2, -3, -4, 0, -1, 1, -2, -1, -2]
ruined	-2.1	0.7	[-3, -2, -2, -1, -2, -2, -3, -3, -1, -2]
ruiner	-2.0	0.63246	[-1, -3, -2, -2, -1, -2, -3, -2, -2, -2]
ruing	-1.6	0.91652	[-2, -1, -2, -1, -1, -1, -3, 0, -3, -2]
ruining	-1.0	1.94936	[-3, -3, 0, -2, 1, -3, 2, -2, 2, -2]
ruinous	-2.7	0.78102	[-2, -3, -3, -3, -3, -4, -2, -3, -1, -3]
ruinously	-2.6	0.8	[-3, -2, -2, -3, -1, -3, -4, -2, -3, -3]
ruinousness	-1.0	1.09545	[-1, -2, -3, -1, -1, -2, 1, 0, -1, 0]
ruins	-1.9	0.9434	[-1, -2, -1, -2, -1, -2, -4, -1, -3, -2]
sabotage	-2.4	0.91652	[-3, -3, -3, -2, -2, -4, -2, -3, -1, -1]
sad	-2.1	0.9434	[-1, -1, -2, -2, -3, -2, -3, -2, -4, -1]
sadden	-2.6	0.4899	[-2, -3, -2, -3, -2, -3, -2, -3, -3, -3]
saddened	-2.4	0.4899	[-3, -2, -3, -2, -3, -3, -2, -2, -2, -2]
saddening	-2.2	0.4	[-3, -2, -2, -2, -2, -2, -3, -2, -2, -2]
saddens	-1.9	0.7	[-3, -1, -1, -1, -2, -2, -2, -2, -3, -2]
sadder	-2.4	0.91652	[-2, -2, -3, -4, -3, -1, -3, -1, -2, -3]
saddest	-3.0	0.63246	[-4, -3, -2, -3, -3, -2, -3, -4, -3, -3]
sadly	-1.8	0.6	[-2, -2, -2, -1, -2, -3, -2, -1, -1, -2]
sadness	-1.9	0.3	[-2, -1, -2, -2, -2, -2, -2, -2, -2, -2]
safe	1.9	0.3	[2, 1, 2, 2, 2, 2, 2, 2, 2, 2]
safecracker	-0.7	1.61555	[-3, -2, 0, -3, 0, -2, 0, 1, 2, 0]
safecrackers	-0.9	1.04403	[-1, 0, -2, 0, -1, 0, 0, -3, 0, -2]
safecracking	-0.9	0.9434	[0, 0, 0, 0, -2, 0, -1, -2, -2, -2]
safecrackings	-0.7	1.67631	[-2, -1, -2, -4, 2, -1, -1, 0, 1, 1]
safeguard	1.6	0.4899	[2, 2, 1, 1, 1, 2, 2, 2, 2, 1]
safeguarded	1.5	0.92195	[1, 2, 2, 0, 2, 0, 3, 1, 2, 2]
safeguarding	1.1	0.7	[2, 1, 1, 0, 1, 0, 2, 1, 1, 2]
safeguards	1.4	0.66332	[1, 2, 1, 1, 0, 2, 2, 2, 2, 1]
safekeeping	1.4	0.66332	[3, 1, 1, 2, 1, 1, 2, 1, 1, 1]
safelight	1.1	1.22066	[0, 3, 0, 2, 0, 3, 0, 2, 1, 0]
safelights	0.8	1.07703	[0, 3, 1, 0, 0, 2, 0, 2, 0, 0]
safely	2.2	0.74833	[2, 2, 2, 3, 4, 2, 2, 1, 2, 2]
safeness	1.5	0.67082	[1, 1, 1, 1, 3, 1, 2, 2, 2, 1]
safer	1.8	0.6	[2, 1, 2, 3, 2, 2, 1, 1, 2, 2]
safes	0.4	0.8	[0, 0, 2, 0, 0, 0, 0, 0, 2, 0]
safest	1.7	1.61555	[2, 2, 2, 2, -3, 3, 3, 2, 2, 2]
safeties	1.5	1.0247	[2, 0, 1, 3, 2, 1, 3, 1, 0, 2]
safety	1.8	0.6	[2, 2, 2, 2, 1, 1, 2, 3, 1, 2]
safetyman	0.3	0.64031	[0, 0, 0, 0, 2, 0, 1, 0, 0, 0]
salient	1.1	1.22066	[1, 3, 0, -1, 0, 1, 2, 1, 1, 3]
sappy	-1.0	1.18322	[-2, -1, 2, -2, -2, 0, -1, -1, -2, -1]
sarcasm	-0.9	0.7	[0, -2, -1, -1, 0, 0, -1, -1, -2, -1]
sarcasms	-0.9	0.7	[0, -1, 0, -1, -1, -2, 0, -1, -1, -2]
sarcastic	-1.0	0.7746	[-1, -1, -1, -1, -1, -1, -1, -2, 1, -2]
sarcastically	-1.1	1.37477	[-1, -4, 1, -1, -1, -2, 1, -2, -1, -1]
satisfaction	1.9	0.9434	[1, 3, 2, 4, 2, 1, 1, 1, 2, 2]
satisfactions	2.1	0.7	[3, 3, 3, 1, 2, 2, 1, 2, 2, 2]
satisfactorily	1.6	1.11355	[1, 2, 2, -1, 2, 1, 3, 3, 1, 2]
satisfactoriness	1.5	0.5	[1, 2, 1, 2, 2, 1, 2, 1, 2, 1]
satisfactory	1.5	0.67082	[2, 3, 1, 1, 1, 2, 2, 1, 1, 1]
satisfiable	1.9	0.83066	[3, 1, 2, 1, 2, 3, 1, 2, 3, 1]
satisfied	1.8	0.6	[2, 2, 2, 1, 1, 2, 3, 1, 2, 2]
satisfies	1.8	0.6	[3, 1, 2, 1, 1, 2, 2, 2, 2, 2]
satisfy	2.0	0.63246	[3, 2, 2, 2, 2, 1, 1, 2, 3, 2]
satisfying	2.0	1.48324	[2, 3, 2, 1, 3, 3, 3, 2, -2, 3]
satisfyingly	1.9	0.9434	[1, 2, 2, 1, 2, 1, 4, 1, 3, 2]
savage	-2.0	1.73205	[-3, -4, -3, 1, -2, -1, -3, -4, -2, 1]
savaged	-2.0	1.34164	[-1, 0, -4, -3, -3, -3, -2, 0, -1, -3]
savagely	-2.2	0.74833	[-2, -1, -3, -2, -2, -1, -2, -3, -3, -3]
savageness	-2.6	1.0198	[-3, -1, -2, -3, -2, -1, -4, -4, -3, -3]
savagenesses	-0.9	1.86815	[-2, 3, -1, -3, -2, 2, -3, -1, -1, -1]
savageries	-1.9	1.75784	[-3, 1, -3, -4, -3, 1, -2, -3, 0, -3]
savagery	-2.5	1.62788	[-2, -3, -3, -3, 2, -3, -3, -4, -4, -2]
savages	-2.4	1.0198	[-2, -2, -3, -4, -3, -3, -2, 0, -2, -3]
save	2.2	1.16619	[1, 3, 3, 1, 2, 1, 2, 4, 1, 4]
saved	1.8	0.6	[1, 2, 2, 2, 1, 3, 2, 2, 1, 2]
scam	-2.7	0.64031	[-2, -3, -3, -3, -2, -2, -4, -3, -3, -2]
scams	-2.8	0.87178	[-3, -1, -3, -4, -4, -3, -2, -2, -3, -3]
scandal	-1.9	1.81384	[-3, -2, -2, -4, 3, -3, -3, -1, -2, -2]
scandalous	-2.4	0.8	[-2, -1, -3, -2, -4, -2, -3, -3, -2, -2]
scandals	-2.2	0.9798	[-2, -3, -3, -2, -1, 0, -3, -3, -2, -3]
scapegoat	-1.7	0.64031	[-3, -2, -2, -2, -1, -1, -1, -2, -1, -2]
scapegoats	-1.4	0.8	[-1, -2, -2, -1, 0, -2, -2, 0, -2, -2]
scare	-2.2	0.87178	[-2, -2, -4, -2, -3, -1, -2, -1, -2, -3]
scarecrow	-0.8	0.9798	[-1, 0, -1, 0, 0, 0, -2, -3, -1, 0]
scarecrows	-0.7	1.1	[2, 0, -1, -1, -1, -2, -1, -2, 0, -1]
scared	-1.9	0.7	[-1, -1, -2, -3, -2, -3, -1, -2, -2, -2]
scaremonger	-2.1	0.53852	[-1, -2, -2, -3, -2, -2, -3, -2, -2, -2]
scaremongers	-2.0	1.0	[-2, -2, 0, -4, -2, -2, -1, -2, -3, -2]
scarer	-1.7	0.78102	[-2, -1, -1, -2, -3, -1, -3, -1, -2, -1]
scarers	-1.3	0.9	[-1, -2, -1, 0, 0, -1, -3, -2, -1, -2]
scares	-1.4	0.4899	[-1, -1, -2, -1, -1, -2, -1, -2, -2, -1]
scarey	-1.7	0.64031	[-1, -1, -2, -2, -1, -2, -1, -2, -3, -2]
scaring	-1.9	1.22066	[-3, -2, -1, -3, -1, -3, -2, -2, 1, -3]
scary	-2.2	0.87178	[-2, -1, -4, -3, -3, -2, -2, -2, -2, -1]
sceptic	-1.0	0.89443	[-3, 0, -1, -1, -1, 0, 0, -2, -1, -1]
sceptical	-1.2	0.4	[-1, -1, -1, -1, -1, -1, -1, -2, -2, -1]
scepticism	-0.8	0.87178	[-1, -2, -2, 0, 0, -1, 1, -1, -1, -1]
sceptics	-0.7	0.78102	[0, 0, 0, -1, -2, 0, -1, -1, 0, -2]
scold	-1.7	0.78102	[-2, -1, -1, -1, -3, -3, -2, -2, -1, -1]
scoop	0.6	0.8	[0, 0, 1, 0, 2, 0, 2, 0, 1, 0]
scorn	-1.7	0.64031	[-2, -3, -2, -1, -1, -1, -1, -2, -2, -2]
scornful	-1.8	1.16619	[-3, -3, -2, -1, -4, 0, -2, -1, -1, -1]
scream	-1.7	0.78102	[0, -3, -1, -1, -2, -2, -2, -2, -2, -2]
screamed	-1.3	1.1	[-2, -3, -2, -1, -1, -2, -2, -1, 1, 0]
screamers	-1.5	0.92195	[-2, -1, -2, -2, -2, -2, -1, -2, 1, -2]
screaming	-1.6	0.8	[0, -1, -1, -2, -3, -1, -2, -2, -2, -2]
screams	-1.2	0.9798	[-1, -2, -2, -1, -1, -2, 1, -2, 0, -2]
screw	-0.4	0.91652	[-1, -2, -1, 0, 0, 1, 0, -1, 1, -1]
screwball	-0.2	0.87178	[0, -1, 0, 0, 1, 1, -1, 0, -2, 0]
screwballs	-0.3	1.00499	[-2, 0, -2, -1, 0, 1, 0, 1, 0, 0]
screwbean	0.3	0.64031	[0, 0, 0, 0, 0, 1, 0, 2, 0, 0]
screwdriver	0.3	0.45826	[1, 0, 0, 0, 0, 1, 0, 0, 1, 0]
screwdrivers	0.1	0.53852	[-1, 0, 0, 1, 0, 0, 0, 1, 0, 0]
screwed	-2.2	0.4	[-2, -2, -2, -2, -2, -3, -3, -2, -2, -2]
screwed up	-1.5	0.67082	[-2, -2, -2, -1, -1, 0, -2, -1, -2, -2]
screwer	-1.2	0.87178	[-1, -2, -1, -2, 0, 0, -2, 0, -2, -2]
screwers	-0.5	1.5	[-2, -2, 0, -2, 0, 2, 2, -1, 0, -2]
screwier	-0.6	1.2	[0, -1, 2, -2, -1, -2, -1, -1, 1, -1]
screwiest	-2.0	0.89443	[-3, -2, -2, -4, -1, -2, -1, -1, -2, -2]
screwiness	-0.5	1.80278	[-2, 0, -2, 3, -2, -1, -2, 1, 2, -2]
screwing	-0.9	0.9434	[-1, 0, 0, 0, -1, -1, -3, -2, 0, -1]
screwlike	0.1	1.04403	[2, -1, 0, 0, 0, 1, 0, 1, -2, 0]
screws	-1.0	1.09545	[0, -3, 0, 0, -1, 0, -2, -2, -2, 0]
screwup	-1.7	0.9	[-2, -2, -2, 1, -2, -2, -2, -2, -2, -2]
screwups	-1.0	1.61245	[-2, -2, -2, -2, 0, 2, -2, -2, 2, -2]
screwworm	-0.4	0.66332	[0, -1, 0, 0, 0, 0, -2, 0, -1, 0]
screwworms	-0.1	1.22066	[-3, 0, -1, 0, 0, 0, 0, 2, 1, 0]
screwy	-1.4	0.8	[-2, -2, -1, -1, -1, 0, -2, -1, -3, -1]
scrumptious	2.1	1.22066	[3, 3, 0, 3, 2, 3, 1, 3, 0, 3]
scrumptiously	1.5	1.43178	[2, 3, 3, -2, 1, 1, 2, 3, 1, 1]
scumbag	-3.2	0.6	[-4, -3, -3, -2, -3, -4, -3, -3, -4, -3]
secure	1.4	0.4899	[1, 2, 1, 1, 2, 1, 1, 2, 2, 1]
secured	1.7	0.78102	[2, 2, 3, 1, 1, 2, 2, 0, 2, 2]
securely	1.4	0.8	[2, 0, 1, 2, 1, 1, 1, 3, 2, 1]
securement	1.1	0.7	[0, 2, 1, 1, 1, 0, 2, 2, 1, 1]
secureness	1.4	0.66332	[2, 1, 1, 3, 1, 1, 1, 1, 2, 1]
securer	1.5	0.67082	[1, 2, 2, 2, 1, 2, 1, 0, 2, 2]
securers	0.6	0.91652	[1, 3, 0, 0, 1, 0, 0, 0, 0, 1]
secures	1.3	0.64031	[1, 2, 2, 1, 1, 2, 1, 0, 2, 1]
securest	2.6	0.8	[3, 3, 2, 3, 1, 4, 3, 2, 2, 3]
securing	1.3	1.00499	[0, 3, 1, 1, 1, 3, 1, 1, 2, 0]
securities	1.2	0.6	[1, 2, 2, 2, 1, 1, 1, 0, 1, 1]
securitization	0.2	1.07703	[0, 0, 1, -1, 1, 0, -2, 0, 2, 1]
securitizations	0.1	0.9434	[0, 0, 0, 0, 2, 0, -2, 0, 1, 0]
securitize	0.3	1.34536	[2, 1, 0, 0, 2, 0, 1, 0, -3, 0]
securitized	1.4	1.0198	[3, 0, 2, 2, 0, 1, 2, 2, 0, 2]
securitizes	1.6	1.0198	[3, 0, 2, 2, 0, 1, 3, 2, 1, 2]
securitizing	0.7	0.9	[2, 0, 0, 1, 2, 0, 2, 0, 0, 0]
security	1.4	0.8	[1, 2, 3, 2, 1, 1, 2, 0, 1, 1]
sedition	-1.8	1.249	[-3, -4, -2, -2, -2, -2, -1, -1, -2, 1]
seditious	-1.7	0.64031	[-1, -2, -2, -1, -1, -1, -3, -2, -2, -2]
seduced	-1.5	0.67082	[0, -1, -2, -2, -2, -2, -1, -1, -2, -2]
self-confident	2.5	0.80623	[1, 3, 3, 3, 2, 3, 1, 3, 3, 3]
selfish	-2.1	0.7	[-1, -2, -2, -3, -1, -2, -2, -2, -3, -3]
selfishly	-1.4	0.91652	[-3, 0, -1, -1, -1, -2, -3, -1, -1, -1]
selfishness	-1.7	0.64031	[-1, -1, -1, -2, -2, -1, -2, -2, -3, -2]
selfishnesses	-2.0	1.94936	[-4, -3, -1, -3, -2, -4, 2, 1, -3, -3]
sentence	0.3	0.64031	[0, 0, 0, 0, 1, 2, 0, 0, 0, 0]
sentenced	-0.1	1.3	[0, -2, 2, -1, 0, -2, 2, 0, 0, 0]
sentences	0.2	1.07703	[0, 0, 2, 0, 0, -2, 2, 0, 0, 0]
sentencing	-0.6	1.8	[-2, 0, -3, -2, 2, 3, 0, -1, -1, -2]
sentimental	1.3	0.64031	[2, 1, 1, 2, 1, 0, 1, 2, 2, 1]
sentimentalise	1.2	0.87178	[2, 1, 0, 3, 2, 1, 1, 0, 1, 1]
sentimentalised	0.8	1.16619	[2, 1, 1, 0, 0, 2, 3, -1, 0, 0]
sentimentalising	0.4	0.91652	[0, 2, 0, 0, 0, -1, 1, 0, 2, 0]
sentimentalism	1.0	0.63246	[2, 1, 0, 2, 1, 1, 1, 0, 1, 1]
sentimentalisms	0.4	0.8	[0, 1, 1, 0, 0, 2, 1, 0, 0, -1]
sentimentalist	0.8	0.87178	[2, 1, 0, 2, 0, 1, 2, 0, 0, 0]
sentimentalists	0.7	0.78102	[0, 0, 1, 0, 0, 1, 1, 2, 0, 2]
sentimentalities	0.9	0.83066	[2, 1, 1, 2, 1, 0, 0, 2, 0, 0]
sentimentality	1.2	1.46969	[-2, 1, 1, 2, 2, 0, 4, 2, 1, 1]
sentimentalization	1.2	0.87178	[0, 1, 2, 0, 1, 1, 3, 1, 2, 1]
sentimentalizations	0.4	0.8	[0, 1, 0, 1, 0, 0, 0, 2, -1, 1]
sentimentalize	0.8	1.07703	[2, 0, 0, 2, 0, 2, 1, -1, 2, 0]
sentimentalized	1.1	1.22066	[3, 0, 2, 0, 1, 3, 2, 0, 0, 0]
sentimentalizes	1.1	1.37477	[3, 0, 1, 0, 1, 4, 2, 0, 0, 0]
sentimentalizing	0.8	0.87178	[1, 1, 1, 1, 2, 0, -1, 1, 0, 2]
sentimentally	1.9	0.9434	[3, 2, 3, 1, 0, 2, 1, 2, 3, 2]
serene	2.0	1.0	[1, 1, 3, 2, 2, 4, 3, 2, 1, 1]
serious	-0.3	0.45826	[0, -1, 0, -1, -1, 0, 0, 0, 0, 0]
seriously	-0.7	1.34536	[-3, -2, 0, 0, -1, -2, 2, -1, 0, 0]
seriousness	-0.2	1.16619	[0, 2, 0, 0, 0, 0, -3, -1, 0, 0]
severe	-1.6	1.8	[-3, -2, -4, 1, -2, -3, 2, -1, -1, -3]
severed	-1.5	0.5	[-1, -1, -2, -1, -2, -1, -1, -2, -2, -2]
severely	-2.0	0.89443	[-2, -1, -1, -2, -2, -1, -3, -2, -4, -2]
severeness	-1.0	1.73205	[0, 0, -1, -4, 1, -2, 0, 1, -1, -4]
severer	-1.6	1.49666	[-2, -3, -2, -1, -2, 2, -4, -1, -1, -2]
severest	-1.5	1.85742	[-4, -1, 2, -2, -2, -3, -4, -1, 1, -1]
sexy	2.4	0.8	[2, 3, 3, 4, 2, 2, 2, 2, 3, 1]
shake	-0.7	0.9	[-2, 0, 0, -2, 1, -1, 0, -1, -1, -1]
shakeable	-0.3	1.00499	[2, -1, 0, 0, -1, -2, 0, 0, -1, 0]
shakedown	-1.2	0.4	[-2, -1, -1, -1, -2, -1, -1, -1, -1, -1]
shakedowns	-1.4	0.8	[-2, -1, -1, -3, -1, -1, 0, -2, -2, -1]
shaken	-0.3	0.9	[-1, -1, 1, -1, 1, 0, -1, 1, -1, -1]
shakeout	-1.3	0.78102	[-1, -2, 0, -1, -1, -2, -2, -2, 0, -2]
shakeouts	-0.8	1.16619	[-2, -1, 0, 0, -1, 2, -2, -1, -2, -1]
shakers	0.3	1.00499	[2, 0, 0, -1, 2, 0, 1, -1, 0, 0]
shakeup	-0.6	0.4899	[-1, 0, -1, -1, -1, 0, 0, 0, -1, -1]
shakeups	-0.5	0.92195	[2, -1, 0, 0, -1, -1, -1, -1, -1, -1]
shakier	-0.9	0.3	[-1, -1, 0, -1, -1, -1, -1, -1, -1, -1]
shakiest	-1.2	0.74833	[-1, 0, 0, -1, -1, -1, -2, -2, -2, -2]
shakily	-0.7	0.45826	[-1, -1, -1, -1, -1, 0, 0, 0, -1, -1]
shakiness	-0.7	1.1	[2, -1, -1, -1, -2, -1, -1, -2, 0, 0]
shaking	-0.7	0.45826	[-1, -1, -1, 0, -1, -1, 0, 0, -1, -1]
shaky	-0.9	0.3	[-1, -1, -1, 0, -1, -1, -1, -1, -1, -1]
shame	-2.1	0.53852	[-2, -2, -2, -3, -3, -1, -2, -2, -2, -2]
shamed	-2.6	0.4899	[-2, -3, -3, -2, -3, -3, -3, -2, -2, -3]
shamefaced	-2.3	0.64031	[-2, -2, -2, -3, -3, -3, -3, -1, -2, -2]
shamefacedly	-1.9	0.3	[-2, -2, -2, -2, -2, -2, -2, -1, -2, -2]
shamefacedness	-2.0	0.89443	[-1, -1, -2, -2, -2, -1, -2, -4, -2, -3]
shamefast	-1.0	0.44721	[-1, -1, 0, -1, -1, -1, -1, -2, -1, -1]
shameful	-2.2	0.6	[-3, -3, -2, -2, -2, -3, -1, -2, -2, -2]
shamefully	-1.9	0.7	[-2, -3, -1, -3, -1, -2, -2, -1, -2, -2]
shamefulness	-2.4	0.4899	[-2, -3, -3, -2, -3, -2, -3, -2, -2, -2]
shamefulnesses	-2.3	0.78102	[-4, -2, -2, -2, -3, -1, -2, -2, -3, -2]
shameless	-1.4	1.0198	[-1, -1, 1, -2, -3, -1, -2, -2, -1, -2]
shamelessly	-1.4	1.0198	[-1, 0, -1, -2, 0, -1, -3, -3, -1, -2]
shamelessness	-1.4	1.0198	[-1, -3, -2, 1, -2, -1, -2, -2, -1, -1]
shamelessnesses	-2.0	1.0	[-2, 0, -2, -4, -2, -1, -2, -3, -2, -2]
shames	-1.7	0.9	[-3, -3, -3, -1, -1, -1, -1, -1, -1, -2]
share	1.2	0.74833	[0, 1, 1, 2, 2, 2, 1, 1, 0, 2]
shared	1.4	0.4899	[2, 2, 2, 1, 2, 1, 1, 1, 1, 1]
shares	1.2	0.87178	[0, 2, 1, 1, 0, 2, 2, 2, 2, 0]
sharing	1.8	0.6	[2, 2, 1, 2, 2, 3, 1, 1, 2, 2]
shattered	-2.1	0.7	[-1, -3, -3, -2, -2, -2, -3, -2, -1, -2]
shit	-2.6	1.0198	[-2, -1, -4, -3, -4, -4, -2, -2, -2, -2]
shitake	-0.3	1.26886	[-4, 0, 0, 0, 0, 0, 0, 0, 1, 0]
shitakes	-1.1	1.7	[0, -4, 0, 0, 0, 0, -3, 0, -4, 0]
shithead	-3.1	0.83066	[-3, -4, -4, -3, -4, -3, -1, -3, -3, -3]
shitheads	-2.6	1.35647	[-2, -3, -4, -3, -3, -3, -2, -4, 1, -3]
shits	-2.1	1.22066	[-3, 0, -3, 0, -2, -4, -2, -2, -2, -3]
shittah	0.1	1.3	[-2, -2, 0, 2, 0, 0, 0, 0, 1, 2]
shitted	-1.7	0.64031	[-2, -1, -2, -1, -2, -2, -3, -1, -2, -1]
shittier	-2.1	0.83066	[-3, -3, -2, -1, -1, -1, -3, -2, -2, -3]
shittiest	-3.4	0.66332	[-3, -4, -3, -4, -4, -4, -3, -3, -4, -2]
shittim	-0.6	1.0198	[-3, 0, 0, 0, 0, -2, 0, 0, -1, 0]
shittimwood	-0.3	0.9	[0, 0, -3, 0, 0, 0, 0, 0, 0, 0]
shitting	-1.8	0.9798	[-1, -2, -2, -1, -3, -1, -1, -2, -4, -1]
shitty	-2.6	0.8	[-3, -4, -2, -3, -3, -2, -3, -1, -2, -3]
shock	-1.6	0.91652	[0, -3, -1, -2, -1, -2, -2, -1, -3, -1]
shockable	-1.0	1.0	[-3, -1, -1, 0, 0, -2, -1, -2, 0, 0]
shocked	-1.3	1.18743	[-2, -1, -1, 0, 0, -2, 0, -2, -1, -4]
shocker	-0.6	1.49666	[-2, -1, 3, -1, 0, -3, -1, 0, -1, 0]
shockers	-1.1	0.9434	[-1, -2, -2, -1, -1, 0, 0, -3, 0, -1]
shocking	-1.7	1.34536	[-3, -3, 0, -1, 0, -3, 0, -1, -3, -3]
shockingly	-0.7	1.48661	[-2, 0, -1, -3, -3, 0, 2, 0, 0, 0]
shockproof	1.3	0.64031	[1, 0, 1, 1, 2, 2, 1, 2, 1, 2]
shocks	-1.6	0.91652	[-3, -1, 0, -1, -2, -2, -1, -3, -2, -1]
shook	-0.4	0.66332	[-1, -2, 0, 0, 0, 0, 0, 0, 0, -1]
shoot	-1.4	1.11355	[-1, -4, -1, -1, -2, 0, -2, 0, -1, -2]
short-sighted	-1.2	0.6	[0, -1, -2, -2, -1, -1, -1, -2, -1, -1]
short-sightedness	-1.1	1.37477	[-1, -2, -2, -2, -3, -1, 0, 2, 0, -2]
shortage	-1.0	1.09545	[-2, -2, -1, -2, -1, -1, 2, -1, -1, -1]
shortages	-0.6	1.0198	[0, -2, -1, -1, 0, -2, 1, 1, -1, -1]
shrew	-0.9	1.04403	[-2, -1, -2, -2, 1, 0, 0, 0, -1, -2]
shy	-1.0	0.0	[-1, -1, -1, -1, -1, -1, -1, -1, -1, -1]
shyer	-0.8	0.6	[-1, -1, -1, -1, 0, -1, 0, 0, -2, -1]
shying	-0.9	0.83066	[-1, -2, -1, 0, -2, 0, 0, 0, -2, -1]
shylock	-2.1	1.13578	[-2, -2, -2, 0, -3, -3, -3, -3, 0, -3]
shylocked	-0.7	1.00499	[0, -3, -1, 0, 0, -2, 0, -1, 0, 0]
shylocking	-1.5	1.11803	[0, -2, -3, 0, -1, -3, -2, 0, -2, -2]
shylocks	-1.4	1.11355	[0, -2, -1, -2, -3, 0, -3, -1, -2, 0]
shyly	-0.7	0.45826	[-1, -1, -1, -1, 0, 0, -1, 0, -1, -1]
shyness	-1.3	1.00499	[-2, 0, -3, 0, -1, -2, -2, -1, -2, 0]
shynesses	-1.2	0.6	[-2, -1, -1, -2, -1, -2, 0, -1, -1, -1]
shyster	-1.6	0.66332	[-2, -1, -2, -3, -2, -1, -1, -1, -1, -2]
shysters	-0.9	0.7	[0, -2, 0, 0, -2, -1, -1, -1, -1, -1]
sick	-2.3	0.78102	[-1, -2, -3, -2, -2, -4, -3, -2, -2, -2]
sicken	-1.9	0.7	[-2, -3, -1, -3, -1, -1, -2, -2, -2, -2]
sickened	-2.5	0.92195	[-3, -2, -4, -3, -1, -1, -3, -3, -2, -3]
sickener	-2.2	0.87178	[-3, -1, -2, -3, -1, -1, -3, -3, -2, -3]
sickeners	-2.2	0.6	[-3, -1, -2, -3, -2, -3, -2, -2, -2, -2]
sickening	-2.4	0.91652	[-3, -4, -1, -3, -2, -2, -1, -3, -2, -3]
sickeningly	-2.1	0.7	[-3, -3, -1, -2, -2, -1, -3, -2, -2, -2]
sickens	-2.0	0.63246	[-2, -1, -2, -2, -3, -2, -1, -2, -3, -2]
sigh	0.1	1.22066	[2, -1, -1, -1, 0, 2, 1, 1, -1, -1]
significance	1.1	1.22066	[0, 0, 0, 1, 3, 2, 3, 2, 0, 0]
significant	0.8	0.9798	[1, 0, 1, 3, 0, 1, 0, 0, 2, 0]
silencing	-0.5	0.67082	[-2, -1, 0, 0, 0, 0, 0, -1, 0, -1]
sillibub	-0.1	0.3	[0, 0, 0, 0, -1, 0, 0, 0, 0, 0]
sillier	1.0	0.7746	[1, 1, 0, 2, 0, 1, 1, 2, 2, 0]
sillies	0.8	0.74833	[2, 1, 0, 1, 0, 1, 0, 2, 1, 0]
silliest	0.8	0.9798	[0, 1, 1, 1, 1, 0, 3, 1, -1, 1]
sillily	-0.1	1.04403	[1, -1, -1, -1, 2, 1, -1, 0, 0, -1]
sillimanite	0.1	0.3	[1, 0, 0, 0, 0, 0, 0, 0, 0, 0]
sillimanites	0.2	0.6	[0, 0, 0, 0, 2, 0, 0, 0, 0, 0]
silliness	-0.9	1.22066	[1, -3, -1, 0, 1, -1, -2, -1, -2, -1]
sillinesses	-1.2	1.46969	[-3, -2, -3, 0, -2, 0, 1, -2, -2, 1]
silly	0.1	1.04403	[1, 1, 0, 0, 0, 2, -1, -2, 0, 0]
sin	-2.6	0.8	[-2, -4, -3, -2, -2, -2, -4, -3, -2, -2]
sincere	1.7	0.78102	[1, 2, 3, 0, 2, 2, 2, 2, 1, 2]
sincerely	2.1	1.04403	[1, 3, 2, 4, 2, 3, 1, 1, 3, 1]
sincereness	1.8	0.74833	[3, 1, 1, 2, 2, 3, 1, 2, 2, 1]
sincerer	2.0	1.0	[1, 3, 3, 2, 3, 2, 1, 3, 0, 2]
sincerest	2.0	1.34164	[0, 3, 1, 1, 4, 2, 1, 4, 1, 3]
sincerities	1.5	0.67082	[2, 1, 1, 1, 1, 1, 3, 2, 2, 1]
sinful	-2.6	0.8	[-4, -3, -3, -2, -1, -2, -3, -2, -3, -3]
singleminded	1.2	0.87178	[1, 2, 0, 0, 3, 2, 1, 1, 1, 1]
sinister	-2.9	1.13578	[-4, -4, -1, -3, -1, -4, -3, -3, -2, -4]
sins	-2.0	1.0	[-2, -1, -2, -3, -1, -4, -3, -2, -1, -1]
skeptic	-0.9	1.13578	[0, 0, -1, -1, -1, 0, -2, -2, 1, -3]
skeptical	-1.3	0.9	[0, -3, -2, -2, -1, -2, 0, -1, -1, -1]
skeptically	-1.2	0.4	[-1, -1, -1, -1, -1, -1, -2, -1, -1, -2]
skepticism	-1.0	0.89443	[0, 0, -1, -1, -1, -1, 0, -1, -3, -2]
skepticisms	-1.2	0.9798	[1, -2, 0, -1, -2, -1, -2, -2, -1, -2]
skeptics	-0.4	0.91652	[-2, 0, 0, -1, -1, 1, -1, 0, 1, -1]
slam	-1.6	1.11355	[-2, -1, -3, -1, -3, -2, -1, -2, 1, -2]
slash	-1.1	1.22066	[-2, -3, -2, 0, -2, 0, -1, -2, 0, 1]
slashed	-0.9	0.83066	[-2, -1, -2, -1, -1, 0, 1, -1, -1, -1]
slashes	-0.8	0.6	[0, -1, -2, -1, 0, 0, -1, -1, -1, -1]
slashing	-1.1	1.86815	[-3, -2, -3, -3, 3, 1, 0, -1, -2, -1]
slavery	-3.8	0.4	[-4, -3, -4, -3, -4, -4, -4, -4, -4, -4]
sleeplessness	-1.6	1.49666	[-3, -4, -2, -1, -2, -2, -2, 2, -1, -1]
slicker	0.4	1.28062	[-2, 1, -1, 2, 0, 0, 2, 2, 0, 0]
slickest	0.3	1.00499	[1, 0, -1, 0, -1, 0, 0, 0, 2, 2]
sluggish	-1.7	0.64031	[-1, -2, -1, -3, -2, -2, -1, -2, -1, -2]
slut	-2.8	0.87178	[-4, -2, -2, -1, -3, -3, -3, -3, -4, -3]
sluts	-2.7	1.48661	[-3, -3, -4, -4, -3, -4, -1, -3, 1, -3]
sluttier	-2.7	1.18743	[-2, -2, -4, -3, -4, -4, -1, -1, -2, -4]
sluttiest	-3.1	0.83066	[-3, -4, -3, -4, -3, -4, -2, -2, -4, -2]
sluttish	-2.2	0.87178	[-2, -3, -3, -2, -2, -4, -2, -1, -1, -2]
sluttishly	-2.1	1.13578	[-2, 0, -2, -3, -1, -2, -3, -1, -3, -4]
sluttishness	-2.5	0.92195	[-2, -1, -3, -4, -2, -1, -3, -3, -3, -3]
sluttishnesses	-2.0	1.09545	[0, -2, -1, -3, -3, -1, -3, -1, -3, -3]
slutty	-2.3	0.9	[-3, -1, -3, -3, -3, -2, -1, -3, -1, -3]
smart	1.7	0.78102	[2, 2, 1, 2, 1, 3, 2, 0, 2, 2]
smartass	-2.1	0.83066	[-1, -1, -2, -3, -2, -1, -2, -3, -3, -3]
smartasses	-1.7	2.05183	[-1, -2, -3, -3, -3, -1, -2, -3, 4, -3]
smarted	0.7	1.41774	[2, 1, -2, 1, 1, 2, 2, 2, -1, -1]
smarten	1.9	0.7	[3, 1, 2, 1, 2, 2, 2, 3, 1, 2]
smartened	1.5	0.67082	[2, 2, 1, 3, 1, 1, 1, 1, 2, 1]
smartening	1.7	0.9	[1, 3, 3, 1, 1, 1, 2, 1, 1, 3]
smartens	1.5	0.5	[2, 2, 1, 1, 1, 1, 2, 2, 2, 1]
smarter	2.0	0.7746	[2, 2, 1, 1, 2, 2, 2, 2, 4, 2]
smartest	3.0	1.0	[4, 3, 4, 3, 2, 2, 4, 3, 1, 4]
smartie	1.3	0.9	[1, 4, 1, 1, 1, 1, 1, 1, 1, 1]
smarties	1.7	0.9	[1, 1, 2, 4, 2, 2, 1, 2, 1, 1]
smarting	-0.7	1.9	[2, 3, -1, -2, 1, -2, -1, -3, -2, -2]
smartly	1.5	0.67082	[2, 1, 1, 1, 1, 2, 1, 3, 1, 2]
smartness	2.0	0.89443	[1, 3, 3, 1, 2, 1, 2, 3, 1, 3]
smartnesses	1.5	0.92195	[1, 0, 1, 1, 1, 2, 1, 2, 3, 3]
smarts	1.6	0.66332	[2, 1, 3, 1, 2, 1, 2, 1, 2, 1]
smartweed	0.2	0.6	[0, 0, 0, 0, 0, 2, 0, 0, 0, 0]
smartweeds	0.1	0.53852	[0, 0, -1, 0, 0, 0, 1, 0, 0, 1]
smarty	1.1	0.53852	[0, 2, 1, 2, 1, 1, 1, 1, 1, 1]
smear	-1.5	1.20416	[-2, -1, -1, -2, -3, 0, 0, -4, -1, -1]
smilax	0.6	0.66332	[0, 2, 1, 0, 0, 0, 1, 1, 1, 0]
smilaxes	0.3	0.78102	[0, 0, 0, 0, 1, 2, 1, -1, 0, 0]
smile	1.5	0.67082	[2, 1, 1, 1, 2, 2, 3, 1, 1, 1]
smiled	2.5	0.80623	[3, 2, 3, 2, 1, 2, 3, 4, 3, 2]
smileless	-1.4	0.4899	[-1, -1, -1, -1, -2, -1, -2, -1, -2, -2]
smiler	1.7	0.78102	[1, 1, 3, 1, 3, 2, 2, 2, 1, 1]
smiles	2.1	1.04403	[2, 4, 2, 1, 3, 1, 1, 3, 1, 3]
smiley	1.7	0.78102	[1, 2, 1, 2, 2, 0, 2, 3, 2, 2]
smileys	1.5	0.92195	[1, 2, 1, 3, 1, 0, 1, 3, 1, 2]
smiling	2.0	1.18322	[2, 1, 1, 1, 2, 3, 4, 1, 4, 1]
smilingly	2.3	0.64031	[3, 2, 3, 2, 3, 1, 2, 2, 2, 3]
smog	-1.2	0.6	[-1, -1, -2, -1, -1, -2, -2, -1, 0, -1]
smother	-1.8	0.87178	[-2, -2, -3, -1, -2, -1, -2, -2, -3, 0]
smothered	-0.9	1.7	[2, -4, 0, -1, -3, -2, 0, -1, 1, -1]
smothering	-1.4	1.56205	[-2, -3, -1, -4, 0, -2, -1, 2, -1, -2]
smothers	-1.9	1.04403	[-1, -1, -3, -1, -2, -3, 0, -2, -3, -3]
smothery	-1.1	0.7	[-2, 0, -2, -1, -2, -1, 0, -1, -1, -1]
smug	0.8	1.16619	[-1, 2, 0, 2, 1, -1, 2, 1, 0, 2]
smugger	-1.0	0.89443	[1, -2, -1, -2, -1, -1, -1, 0, -2, -1]
smuggest	-1.5	1.28452	[-1, -1, -1, 1, -1, -3, -4, -2, -1, -2]
smuggle	-1.6	1.11355	[-2, -1, -1, -1, -2, 0, -1, -1, -3, -4]
smuggled	-1.5	0.92195	[-1, -1, -2, -1, -1, -1, -2, -1, -1, -4]
smuggler	-2.1	1.22066	[-1, -3, -3, -1, -1, -1, -4, -1, -2, -4]
smugglers	-1.4	1.56205	[-2, -3, -4, 1, -2, 0, -2, 1, -1, -2]
smuggles	-1.7	1.00499	[-1, -2, -2, -1, -1, -1, -3, -1, -1, -4]
smuggling	-2.1	0.83066	[-3, -2, -2, -1, -2, -2, -1, -2, -4, -2]
smugly	0.2	1.249	[-1, 2, -1, -1, 1, 1, -1, 1, 2, -1]
smugness	-1.4	1.11355	[-1, -1, -1, -3, -3, -2, 1, -1, -2, -1]
smugnesses	-1.7	0.78102	[-1, -1, -2, -1, -3, -1, -2, -2, -3, -1]
sneaky	-0.9	0.7	[-1, -1, -1, -2, -1, -1, -1, 1, -1, -1]
snob	-2.0	0.63246	[-2, -2, -2, -2, -2, -1, -3, -1, -3, -2]
snobbery	-2.0	0.63246	[-1, -2, -2, -2, -2, -3, -2, -1, -3, -2]
snobbier	-0.7	1.00499	[-1, 2, -1, -1, -1, -1, -1, 0, -2, -1]
snobbiest	-0.5	1.11803	[-2, -2, 1, -1, 1, -1, 0, -1, 1, -1]
snobbily	-1.6	1.11355	[-1, -2, -2, -2, -1, -3, -3, -1, 1, -2]
snobbish	-0.9	1.37477	[-2, -1, 1, -1, 1, -2, -3, -2, 1, -1]
snobbishly	-1.2	1.249	[-2, 1, -2, -1, -2, -3, -1, -2, -1, 1]
snobbishness	-1.1	1.22066	[-1, -2, -2, -1, -3, -1, -1, -1, 2, -1]
snobbishnesses	-1.7	0.78102	[-2, -1, -3, -2, -1, -1, -2, -1, -3, -1]
snobbism	-1.0	1.41421	[-2, -1, 1, -1, 1, -2, -3, -2, 1, -2]
snobbisms	-0.3	1.18743	[1, -1, -1, 0, -1, -1, 1, -2, 2, -1]
snobby	-1.7	1.00499	[-1, -1, -1, -3, -2, -2, 0, -3, -3, -1]
snobs	-1.4	1.0198	[-2, -1, -1, -2, -2, -3, -1, -2, 1, -1]
snub	-1.8	0.4	[-2, -2, -1, -2, -2, -2, -2, -2, -1, -2]
snubbed	-2.0	0.7746	[-2, -2, 0, -2, -3, -2, -2, -2, -3, -2]
snubbing	-0.9	1.13578	[-2, -1, -1, -1, 1, -1, -3, 1, -1, -1]
snubs	-2.1	0.9434	[-2, -1, -1, -1, -3, -2, -4, -3, -2, -2]
sob	-1.0	1.34164	[-1, -2, -2, -2, -1, -1, 2, 1, -2, -2]
sobbed	-1.9	1.3	[-2, -4, 1, -1, -3, -1, -3, -2, -2, -2]
sobbing	-1.6	1.49666	[1, -2, -3, -1, -1, -3, 1, -2, -3, -3]
sobering	-0.8	1.32665	[2, -2, 0, -2, -1, -1, -2, 1, -1, -2]
sobs	-2.5	0.67082	[-3, -3, -2, -2, -3, -3, -3, -1, -2, -3]
sociabilities	1.2	0.9798	[1, 3, 1, 2, 0, 1, 0, 2, 2, 0]
sociability	1.1	0.9434	[0, 1, 1, 1, 0, 2, 1, 0, 2, 3]
sociable	1.9	0.7	[1, 1, 2, 3, 1, 2, 2, 2, 3, 2]
sociableness	1.5	0.5	[1, 1, 1, 2, 2, 2, 1, 2, 1, 2]
sociably	1.6	0.91652	[3, 2, 0, 1, 3, 2, 1, 1, 2, 1]
sok	1.3	1.1	[0, 1, 2, 1, 1, 0, 1, 4, 2, 1]
solemn	-0.3	1.1	[-1, -2, -1, 0, -1, 2, 0, -1, 1, 0]
solemnified	-0.5	0.67082	[0, 0, 0, 0, -1, -1, -1, 0, -2, 0]
solemnifies	-0.5	0.67082	[0, 0, 0, 0, -1, -2, -1, 0, -1, 0]
solemnify	0.3	1.18743	[2, 1, 2, 1, 0, 0, -2, -1, 0, 0]
solemnifying	0.1	1.3	[2, -1, 0, -3, 0, 1, 1, 1, 0, 0]
solemnities	0.3	0.78102	[0, 1, -1, 0, 0, 0, 2, 1, 0, 0]
solemnity	-1.1	0.9434	[0, -2, 0, -2, -2, -1, -2, 0, 0, -2]
solemnization	0.7	1.34536	[-1, -1, 0, 2, 2, 0, 3, 2, 0, 0]
solemnize	0.3	0.78102	[1, -1, 0, 2, 0, 0, 1, 0, 0, 0]
solemnized	-0.7	0.9	[0, 0, 0, -1, -1, -1, -1, 0, 0, -3]
solemnizes	0.6	0.91652	[0, 0, 0, 0, 0, 0, 2, 2, 2, 0]
solemnizing	-0.6	0.8	[0, 0, -1, -1, 0, 0, -2, -2, 0, 0]
solemnly	0.8	0.9798	[0, 2, 0, 1, 1, 2, -1, 2, 1, 0]
solid	0.6	0.8	[0, 2, 1, 2, 0, 1, 0, 0, 0, 0]
solidarity	1.2	0.6	[1, 1, 1, 1, 2, 0, 1, 2, 2, 1]
solution	1.3	0.64031	[1, 2, 1, 2, 1, 1, 2, 2, 0, 1]
solutions	0.7	0.78102	[1, 1, 2, 0, 1, 0, 2, 0, 0, 0]
solve	0.8	0.4	[0, 1, 1, 1, 1, 0, 1, 1, 1, 1]
solved	1.1	0.53852	[1, 2, 1, 0, 1, 1, 1, 2, 1, 1]
solves	1.1	0.7	[2, 0, 1, 0, 1, 2, 1, 2, 1, 1]
solving	1.4	0.8	[0, 3, 1, 2, 1, 1, 2, 1, 2, 1]
somber	-1.8	0.6	[-1, -2, -2, -3, -2, -1, -2, -1, -2, -2]
son-of-a-bitch	-2.7	0.64031	[-3, -3, -3, -1, -2, -3, -3, -3, -3, -3]
soothe	1.5	0.92195	[3, 2, 2, 1, 2, 0, 2, 0, 2, 1]
soothed	0.5	1.43178	[2, -3, 1, 1, 0, 1, 1, 1, 2, -1]
soothing	1.3	0.64031	[2, 1, 2, 1, 1, 1, 2, 0, 2, 1]
sophisticated	2.6	0.91652	[3, 4, 3, 3, 3, 1, 2, 1, 3, 3]
sore	-1.5	0.5	[-2, -2, -2, -1, -1, -1, -2, -1, -1, -2]
sorrow	-2.4	0.8	[-2, -2, -2, -1, -2, -3, -2, -4, -3, -3]
sorrowed	-2.4	0.8	[-1, -2, -3, -3, -2, -3, -2, -4, -2, -2]
sorrower	-2.3	0.78102	[-1, -2, -1, -3, -3, -2, -2, -3, -3, -3]
sorrowful	-2.2	0.6	[-3, -3, -2, -2, -2, -2, -3, -1, -2, -2]
sorrowfully	-2.3	0.64031	[-3, -3, -2, -1, -2, -2, -3, -2, -2, -3]
sorrowfulness	-2.5	0.67082	[-4, -3, -2, -3, -2, -3, -2, -2, -2, -2]
sorrowing	-1.7	1.26886	[-2, -2, 1, -1, -1, -2, -4, -3, -2, -1]
sorrows	-1.6	0.66332	[-1, -1, -2, -1, -2, -2, -1, -2, -1, -3]
sorry	-0.3	1.61555	[-1, 0, -1, -2, -1, -1, 4, 1, -1, -1]
soulmate	2.9	0.83066	[4, 2, 2, 2, 3, 4, 3, 3, 2, 4]
spam	-1.5	1.0247	[-1, -1, -1, -2, 1, -2, -3, -2, -2, -2]
spammer	-2.2	0.6	[-3, -2, -2, -1, -2, -3, -2, -2, -3, -2]
spammers	-1.6	1.11355	[-2, -1, -2, -3, -2, -1, -2, -1, 1, -3]
spamming	-2.1	0.83066	[-3, -3, -1, -3, -2, -1, -2, -2, -1, -3]
spark	0.9	1.04403	[0, 2, 1, 1, 0, 1, 3, -1, 1, 1]
sparkle	1.8	0.74833	[0, 2, 2, 2, 1, 2, 3, 2, 2, 2]
sparkles	1.3	1.18743	[3, 2, 0, 0, 3, 0, 2, 0, 1, 2]
sparkling	1.2	0.4	[1, 1, 1, 2, 1, 1, 1, 2, 1, 1]
special	1.7	0.78102	[3, 1, 3, 2, 2, 1, 1, 2, 1, 1]
speculative	0.4	1.11355	[1, -1, 1, 0, -1, -1, 1, 2, 2, 0]
spirit	0.7	1.00499	[0, 0, 1, 2, 3, 1, 0, 0, 0, 0]
spirited	1.3	1.00499	[1, 1, 0, 1, 1, 3, 2, 3, 0, 1]
spiritless	-1.3	0.64031	[-2, -1, -1, -2, -2, -1, 0, -1, -2, -1]
spite	-2.4	0.8	[-2, -2, -3, -2, -3, -2, -4, -1, -3, -2]
spited	-2.4	0.91652	[-2, -3, -3, -4, -2, -1, -2, -1, -3, -3]
spiteful	-1.9	1.75784	[-2, 3, -2, -3, -2, -3, -2, -2, -4, -2]
spitefully	-2.3	0.78102	[-2, -2, -1, -3, -3, -2, -2, -2, -4, -2]
spitefulness	-1.5	1.74642	[-3, -2, 1, -3, -3, -3, -2, 2, 0, -2]
spitefulnesses	-2.3	0.9	[-1, -4, -2, -3, -3, -2, -2, -3, -1, -2]
spites	-1.4	1.28062	[0, -2, -2, -3, -2, -1, 1, 0, -3, -2]
splendent	2.7	0.78102	[3, 2, 1, 3, 2, 3, 4, 3, 3, 3]
splendid	2.8	0.9798	[4, 2, 3, 4, 2, 2, 3, 1, 3, 4]
splendidly	2.1	1.22066	[1, 4, 1, 3, 3, 4, 1, 2, 1, 1]
splendidness	2.3	0.9	[2, 1, 3, 3, 4, 2, 1, 3, 2, 2]
splendiferous	2.6	1.95959	[4, 4, 3, -3, 3, 3, 4, 2, 3, 3]
splendiferously	1.9	1.3	[2, 4, 4, 3, 0, 1, 1, 1, 2, 1]
splendiferousness	1.7	1.18743	[1, 2, 3, 1, 2, 3, 3, 2, -1, 1]
splendor	3.0	0.63246	[3, 3, 3, 3, 3, 2, 4, 4, 3, 2]
splendorous	2.2	0.87178	[4, 2, 1, 2, 2, 3, 3, 1, 2, 2]
splendors	2.0	0.44721	[2, 2, 2, 2, 3, 2, 2, 2, 1, 2]
splendour	2.2	0.6	[2, 2, 2, 3, 3, 1, 2, 3, 2, 2]
splendours	2.2	1.249	[3, 0, 2, 1, 4, 3, 2, 4, 1, 2]
splendrous	2.2	1.16619	[4, 4, 3, 2, 1, 1, 3, 1, 2, 1]
sprightly	2.0	0.89443	[0, 2, 3, 2, 2, 1, 2, 3, 3, 2]
squelched	-1.0	0.63246	[-1, -1, -1, -1, 0, -2, -1, 0, -1, -2]
stab	-2.8	0.6	[-3, -2, -2, -3, -3, -3, -3, -2, -4, -3]
stabbed	-1.9	1.22066	[-2, -1, -3, -2, -2, 1, -3, -3, -1, -3]
stable	1.2	0.74833	[1, 2, 2, 0, 1, 2, 1, 1, 2, 0]
stabs	-1.9	1.13578	[-3, -3, -4, 0, -1, -2, -2, -2, -1, -1]
stall	-0.8	0.74833	[-1, 0, -1, 0, -1, 0, -2, 0, -2, -1]
stalled	-0.8	0.87178	[-2, -1, 0, -1, -1, 0, 1, -2, -1, -1]
stalling	-0.8	1.4	[-3, -2, -1, -1, 0, 2, 1, -2, -1, -1]
stamina	1.2	0.9798	[1, 0, 3, 0, 1, 2, 2, 1, 2, 0]
stammer	-0.9	0.3	[-1, 0, -1, -1, -1, -1, -1, -1, -1, -1]
stammered	-0.9	0.7	[-2, -1, -1, -1, 1, -1, -1, -1, -1, -1]
stammerer	-1.1	0.3	[-1, -2, -1, -1, -1, -1, -1, -1, -1, -1]
stammerers	-0.8	0.4	[-1, -1, -1, -1, -1, 0, 0, -1, -1, -1]
stammering	-1.0	0.63246	[-2, -1, 0, -1, -1, -2, 0, -1, -1, -1]
stammers	-0.8	0.4	[-1, -1, -1, 0, -1, -1, -1, 0, -1, -1]
stampede	-1.8	1.07703	[-2, -3, -2, -3, 0, 0, -2, -1, -2, -3]
stank	-1.9	1.04403	[-2, -2, -2, -1, -2, -4, -3, 0, -1, -2]
startle	-1.3	0.64031	[-1, -1, -1, -1, -1, -2, -1, -1, -3, -1]
startled	-0.7	0.78102	[-2, -1, -1, 0, 1, -1, -1, 0, -1, -1]
startlement	-0.5	1.20416	[-1, 0, 0, 1, -1, -1, 2, -2, -1, -2]
startlements	0.2	1.32665	[2, 2, 0, 0, -1, 2, 0, -2, -1, 0]
startler	-0.8	0.74833	[-2, -1, -1, 0, 1, -1, -1, -1, -1, -1]
startlers	-0.5	0.80623	[0, 0, 0, 0, -1, -1, -1, 1, -1, -2]
startles	-0.5	1.36015	[-2, 2, -1, 0, 2, -1, -1, -2, -1, -1]
startling	0.3	1.41774	[-2, 2, -1, 0, -1, 2, -1, 1, 1, 2]
startlingly	-0.3	0.9	[-1, -1, 0, -2, 1, 0, 1, 0, -1, 0]
starve	-1.9	2.02237	[2, -3, -4, -1, -3, -4, -1, -2, 1, -4]
starved	-2.6	1.11355	[-3, -4, -1, -3, -3, -4, -1, -1, -3, -3]
starves	-2.3	0.78102	[-3, -2, -2, -3, -2, -3, -1, -1, -3, -3]
starving	-1.8	2.03961	[-2, -2, -4, -4, -3, -3, 2, 2, -2, -2]
steadfast	1.0	1.0	[0, 0, 2, 1, 1, 2, 3, 0, 1, 0]
steal	-2.2	0.6	[-2, -2, -2, -3, -3, -3, -1, -2, -2, -2]
stealable	-1.7	1.00499	[-3, -1, -2, -1, -2, -1, -1, -1, -4, -1]
stealer	-1.7	0.78102	[-2, -2, -1, -2, -3, -1, -2, -2, -2, 0]
stealers	-2.2	0.74833	[-2, -2, -2, -4, -2, -2, -3, -1, -2, -2]
stealing	-2.7	0.9	[-3, -2, -2, -4, -4, -3, -1, -3, -2, -3]
stealings	-1.9	0.9434	[-2, -2, -1, -1, -1, -3, -4, -2, -1, -2]
steals	-2.3	0.64031	[-4, -2, -2, -3, -2, -2, -2, -2, -2, -2]
stealth	-0.3	1.34536	[-2, 1, 1, -1, 0, -3, 0, 1, -1, 1]
stealthier	-0.3	1.00499	[0, 0, -3, 0, 0, 1, 0, -1, 0, 0]
stealthiest	0.4	2.10713	[-1, 2, 1, 1, 3, 4, -1, 0, -2, -3]
stealthily	0.1	1.37477	[2, 0, 0, -1, 1, 0, -3, 2, 0, 0]
stealthiness	0.2	0.74833	[1, 0, 0, -1, 1, 0, -1, 0, 1, 1]
stealths	-0.3	0.78102	[-2, 0, 0, -1, 0, 1, -1, 0, 0, 0]
stealthy	-0.1	0.7	[0, 0, 0, -1, 1, -1, -1, 0, 1, 0]
stench	-2.3	0.64031	[-3, -2, -2, -3, -3, -1, -3, -2, -2, -2]
stenches	-1.5	1.11803	[-2, -2, -1, -3, 0, 0, -3, -2, 0, -2]
stenchful	-2.4	0.91652	[-3, -1, -3, -1, -2, -2, -3, -4, -2, -3]
stenchy	-2.3	1.00499	[-4, -1, -2, -3, -1, -1, -2, -3, -3, -3]
stereotype	-1.3	0.78102	[-1, -1, -2, 0, -2, 0, -2, -1, -2, -2]
stereotyped	-1.2	0.4	[-1, -1, -2, -1, -2, -1, -1, -1, -1, -1]
stifled	-1.4	0.66332	[-1, -1, -1, -1, -3, -1, -2, -2, -1, -1]
stimulate	0.9	0.83066	[1, 0, 1, 1, 1, 2, -1, 2, 1, 1]
stimulated	0.9	0.7	[1, 0, 0, 0, 1, 1, 2, 1, 2, 1]
stimulates	1.0	0.89443	[1, 0, 0, 0, 1, 1, 2, 1, 3, 1]
stimulating	1.9	0.7	[2, 3, 2, 1, 3, 2, 1, 2, 1, 2]
stingy	-1.6	0.8	[-1, 0, -2, -2, -1, -1, -2, -2, -3, -2]
stink	-1.7	0.64031	[-2, -2, -1, -3, -2, -1, -1, -2, -1, -2]
stinkard	-2.3	0.9	[-2, -3, -3, -2, -3, -2, -3, -3, 0, -2]
stinkards	-1.0	1.26491	[-2, -1, 2, -2, -1, -1, 0, -3, -1, -1]
stinkbug	-0.2	0.4	[-1, 0, 0, 0, 0, 0, 0, 0, -1, 0]
stinkbugs	-1.0	1.26491	[0, 0, 0, -4, -1, -2, -1, 0, -2, 0]
stinker	-1.5	0.80623	[-3, -1, -3, -1, -1, -2, -1, -1, -1, -1]
stinkers	-1.2	1.07703	[-3, 1, -1, -2, -2, -1, -1, -2, 0, -1]
stinkhorn	-0.2	1.16619	[-2, -2, 0, 0, -1, 0, 1, 2, 0, 0]
stinkhorns	-0.8	0.9798	[0, -3, 0, -2, 0, 0, -1, -1, -1, 0]
stinkier	-1.5	1.0247	[-2, -1, -2, -2, -1, 1, -2, -1, -3, -2]
stinkiest	-2.1	1.57797	[-1, -2, -3, -4, -2, -1, 1, -4, -1, -4]
stinking	-2.4	0.91652	[-2, -4, -2, -3, -3, -1, -2, -1, -3, -3]
stinkingly	-1.3	1.55242	[-2, -3, -3, -2, -2, 1, -2, 2, -1, -1]
stinko	-1.5	0.80623	[-1, -2, -2, -2, 0, -1, -2, -1, -1, -3]
stinkpot	-2.5	0.92195	[-4, -1, -3, -4, -2, -2, -3, -2, -2, -2]
stinkpots	-0.7	1.26886	[-1, -3, -2, -1, 0, 2, 0, -1, 0, -1]
stinks	-1.0	1.34164	[-2, -2, -1, -2, 2, -1, -2, 1, -1, -2]
stinkweed	-0.4	1.0198	[-2, 0, -1, 0, 2, 0, -1, -1, 0, -1]
stinkwood	-0.1	1.13578	[0, -2, 0, 0, 0, -2, 1, 0, 2, 0]
stinky	-1.5	0.5	[-2, -1, -1, -2, -1, -1, -2, -2, -1, -2]
stolen	-2.2	0.9798	[-3, -2, -2, -1, -3, -2, -3, 0, -3, -3]
stop	-1.2	0.87178	[-1, 0, -2, -2, 0, -1, -2, -2, 0, -2]
stopped	-0.9	0.53852	[-1, -1, -1, -1, -2, -1, -1, -1, 0, 0]
stopping	-0.6	0.66332	[-1, 0, 0, -1, 0, 0, 0, -1, -2, -1]
stops	-0.6	0.8	[-1, -1, 0, 0, -2, 0, -2, 0, 0, 0]
stout	0.7	1.34536	[2, 0, 3, 1, 2, 1, 0, 0, -2, 0]
straight	0.9	1.04403	[2, 0, 1, 0, 0, 0, 1, 2, 3, 0]
strain	-0.2	0.9798	[0, 0, -2, 0, -1, 2, 0, -1, 0, 0]
strained	-1.7	0.78102	[0, -2, -1, -1, -2, -2, -2, -3, -2, -2]
strainer	-0.8	1.249	[2, -2, -1, 0, -1, 0, -2, 0, -2, -2]
strainers	-0.3	0.45826	[0, 0, 0, 0, -1, -1, 0, -1, 0, 0]
straining	-1.3	0.78102	[0, -3, -2, -1, -1, -1, -1, -1, -2, -1]
strains	-1.2	0.4	[-1, -1, -1, -2, -1, -2, -1, -1, -1, -1]
strange	-0.8	0.74833	[0, -1, -1, 0, -2, 0, -1, -2, 0, -1]
strangely	-1.2	0.87178	[0, -1, -2, -2, 0, -3, -1, -1, -1, -1]
strangled	-2.5	1.0247	[-1, -1, -3, -3, -3, -3, -1, -4, -3, -3]
strength	2.2	0.6	[1, 2, 2, 3, 2, 3, 3, 2, 2, 2]
strengthen	1.3	0.64031	[1, 1, 2, 1, 2, 1, 2, 0, 2, 1]
strengthened	1.8	0.4	[2, 2, 2, 2, 1, 2, 2, 1, 2, 2]
strengthener	1.8	0.6	[2, 0, 2, 2, 2, 2, 2, 2, 2, 2]
strengtheners	1.4	0.91652	[1, 2, 1, 2, 3, 0, 2, 0, 2, 1]
strengthening	2.2	0.74833	[3, 3, 1, 1, 2, 2, 2, 2, 3, 3]
strengthens	2.0	0.63246	[3, 2, 1, 2, 2, 3, 2, 1, 2, 2]
strengths	1.7	0.64031	[2, 1, 3, 1, 2, 1, 2, 1, 2, 2]
stress	-1.8	0.6	[-1, -2, -2, -1, -2, -1, -2, -3, -2, -2]
stressed	-1.4	0.4899	[-1, -1, -1, -2, -2, -1, -2, -2, -1, -1]
stresses	-2.0	1.0	[-3, -3, -2, -1, -2, 0, -2, -1, -3, -3]
stressful	-2.3	0.45826	[-2, -2, -2, -2, -3, -3, -2, -3, -2, -2]
stressfully	-2.6	0.66332	[-2, -3, -1, -3, -3, -3, -3, -2, -3, -3]
stressing	-1.5	0.67082	[-1, -2, -1, -1, -3, -1, -2, -2, -1, -1]
stressless	1.6	0.4899	[1, 2, 1, 2, 1, 2, 1, 2, 2, 2]
stresslessness	1.6	0.8	[1, 3, 1, 3, 2, 1, 2, 1, 1, 1]
stressor	-1.8	0.74833	[-2, -1, -1, -2, -3, -2, -1, -2, -3, -1]
stressors	-2.1	0.83066	[-3, -2, -2, -2, -3, -1, -3, -1, -1, -3]
stricken	-2.3	0.9	[0, -2, -2, -2, -2, -3, -3, -3, -3, -3]
strike	-0.5	1.11803	[0, 0, 0, -2, -2, 1, 1, -2, -1, 0]
strikers	-0.6	1.0198	[0, 0, -2, -3, 0, 0, -1, 0, 0, 0]
strikes	-1.5	0.92195	[0, -2, -2, -2, -3, -1, -2, -1, 0, -2]
strong	2.3	0.78102	[3, 2, 3, 3, 1, 1, 3, 2, 2, 3]
strongbox	0.7	0.78102	[2, 1, 0, 0, 0, 1, 2, 1, 0, 0]
strongboxes	0.3	0.64031	[0, 0, 0, 0, 0, 1, 0, 2, 0, 0]
stronger	1.6	0.66332	[2, 1, 1, 1, 2, 3, 2, 1, 2, 1]
strongest	1.9	0.9434	[2, 3, 2, 1, 2, 2, 0, 3, 1, 3]
stronghold	0.5	0.80623	[0, 2, 0, 0, 2, 0, 0, 0, 0, 1]
strongholds	1.0	0.89443	[2, 2, 0, 1, 2, 2, 1, 0, 0, 0]
strongish	1.7	0.78102	[1, 1, 2, 3, 1, 2, 1, 3, 2, 1]
strongly	1.1	0.83066	[0, 0, 2, 2, 0, 1, 2, 2, 1, 1]
strongman	0.7	1.00499	[0, 1, 3, 0, 1, -1, 1, 1, 0, 1]
strongmen	0.5	1.11803	[-1, 0, 0, 3, 0, 1, 0, 2, 0, 0]
strongyl	0.6	1.0198	[0, 1, 0, 0, 0, 0, 0, 2, 3, 0]
strongyles	0.2	1.07703	[0, -2, 1, 1, -1, 1, 0, 0, 2, 0]
strongyloidosis	-0.8	1.66132	[-2, -3, 0, 0, -2, -2, 2, -2, 2, -1]
strongyls	0.1	0.3	[0, 0, 1, 0, 0, 0, 0, 0, 0, 0]
struck	-1.0	0.89443	[-1, -2, -1, 0, -2, -2, -1, -1, 1, -1]
struggle	-1.3	0.45826	[-2, -1, -2, -1, -2, -1, -1, -1, -1, -1]
struggled	-1.4	0.66332	[-2, -2, -1, -1, -1, -1, -2, -2, 0, -2]
struggler	-1.1	0.7	[-1, -1, -1, -1, 0, -1, -2, -2, 0, -2]
strugglers	-1.4	0.4899	[-1, -2, -1, -1, -2, -1, -2, -2, -1, -1]
struggles	-1.5	0.5	[-2, -2, -1, -1, -1, -1, -2, -2, -1, -2]
struggling	-1.8	0.6	[-2, -2, -2, -2, -1, -1, -2, -2, -3, -1]
stubborn	-1.7	1.00499	[0, -1, -2, -2, -2, -4, -1, -2, -1, -2]
stubborner	-1.5	1.20416	[-2, -3, -1, -1, -2, 1, -3, -2, 0, -2]
stubbornest	-0.6	1.62481	[-2, 4, -2, -1, -1, 0, -1, -1, -1, -1]
stubbornly	-1.4	0.4899	[-2, -2, -1, -2, -1, -1, -2, -1, -1, -1]
stubbornness	-1.1	0.53852	[-1, -1, 0, -2, -1, -1, -1, -2, -1, -1]
stubbornnesses	-1.5	0.80623	[-1, -2, -3, -1, -1, -3, -1, -1, -1, -1]
stuck	-1.0	0.44721	[-1, -1, -1, -1, 0, -1, -1, -1, -1, -2]
stunk	-1.6	1.68523	[-2, -2, -3, 2, -2, -3, -3, 1, -1, -3]
stunned	-0.4	1.28062	[-1, -3, -1, 0, -1, -1, 0, 2, 1, 0]
stunning	1.6	1.42829	[0, 0, 3, 2, 2, 4, 3, 0, 2, 0]
stuns	0.1	1.04403	[1, 0, -1, -2, 0, 1, 1, -1, 1, 1]
stupid	-2.4	0.66332	[-2, -3, -3, -2, -3, -3, -2, -1, -2, -3]
stupider	-2.5	0.5	[-3, -2, -3, -3, -2, -2, -3, -2, -3, -2]
stupidest	-2.4	0.66332	[-2, -3, -2, -3, -1, -3, -3, -2, -2, -3]
stupidities	-2.0	0.7746	[-2, -3, -2, -1, -3, -1, -3, -1, -2, -2]
stupidity	-1.9	0.3	[-2, -2, -2, -2, -2, -2, -1, -2, -2, -2]
stupidly	-2.0	0.7746	[-1, -2, -3, -3, -1, -3, -2, -1, -2, -2]
stupidness	-1.7	0.64031	[-3, -1, -2, -1, -2, -1, -2, -2, -1, -2]
stupidnesses	-2.6	0.8	[-2, -2, -2, -4, -4, -3, -3, -2, -2, -2]
stupids	-2.3	0.64031	[-2, -3, -1, -3, -2, -3, -3, -2, -2, -2]
stutter	-1.0	0.0	[-1, -1, -1, -1, -1, -1, -1, -1, -1, -1]
stuttered	-0.9	1.04403	[-1, -1, 2, -1, -1, -1, -2, -2, -1, -1]
stutterer	-1.0	1.18322	[-1, -1, 2, -1, -1, -1, -3, -2, -1, -1]
stutterers	-1.1	0.53852	[-1, -1, -1, 0, -1, -1, -2, -2, -1, -1]
stuttering	-1.3	0.9	[-1, -1, -1, 0, -3, -1, -1, -1, -3, -1]
stutters	-1.0	0.63246	[-1, -1, -1, -2, 0, -2, 0, -1, -1, -1]
suave	2.0	0.44721	[2, 3, 2, 2, 2, 1, 2, 2, 2, 2]
submissive	-1.3	0.9	[-1, 0, -1, -3, -1, 0, -1, -2, -2, -2]
submissively	-1.0	1.18322	[-1, -1, -1, -1, 2, -1, -1, -2, -3, -1]
submissiveness	-0.7	0.78102	[-2, 0, -1, 0, -1, 0, -2, 0, -1, 0]
substantial	0.8	0.6	[2, 0, 1, 1, 0, 0, 1, 1, 1, 1]
subversive	-0.9	1.81384	[-3, 0, -4, -1, -2, -1, 2, -1, 2, -1]
succeed	2.2	0.74833	[2, 3, 2, 2, 2, 1, 2, 4, 2, 2]
succeeded	1.8	0.87178	[2, 2, 1, 2, 2, 0, 2, 3, 3, 1]
succeeder	1.2	1.07703	[1, 0, 0, 2, 2, 0, 0, 3, 2, 2]
succeeders	1.3	0.64031	[2, 0, 2, 1, 2, 1, 1, 1, 1, 2]
succeeding	2.2	1.16619	[2, 3, 0, 3, 4, 3, 1, 1, 2, 3]
succeeds	2.2	0.9798	[4, 1, 4, 1, 2, 2, 2, 2, 2, 2]
success	2.7	0.64031	[4, 3, 2, 2, 3, 2, 3, 3, 2, 3]
successes	2.6	0.66332	[2, 4, 3, 3, 2, 3, 2, 2, 3, 2]
successful	2.8	0.6	[3, 3, 2, 3, 4, 3, 3, 3, 2, 2]
successfully	2.2	0.6	[2, 2, 1, 2, 2, 2, 3, 3, 2, 3]
successfulness	2.7	0.78102	[3, 3, 4, 3, 3, 2, 3, 2, 1, 3]
succession	0.8	0.87178	[2, 0, 1, 2, 0, 2, 1, 0, 0, 0]
successional	0.9	1.04403	[0, 1, 0, 2, 3, 0, 0, 1, 2, 0]
successionally	1.1	1.13578	[2, 2, 0, 0, 0, 0, 2, 3, 0, 2]
successions	0.1	0.3	[0, 0, 0, 0, 0, 0, 0, 1, 0, 0]
successive	1.1	1.13578	[3, 0, 0, 1, 3, 2, 1, 0, 1, 0]
successively	0.9	1.04403	[1, 0, 0, 1, 3, 0, 2, 0, 2, 0]
successiveness	1.0	1.0	[0, 1, 2, 0, 3, 1, 1, 2, 0, 0]
successor	0.9	0.83066	[0, 2, 0, 0, 1, 2, 2, 1, 1, 0]
successors	1.1	1.04403	[2, 0, 1, 2, 0, 1, 3, 0, 2, 0]
suck	-1.9	1.04403	[-1, -1, -1, -2, -1, -1, -3, -4, -3, -2]
sucked	-2.0	0.89443	[-2, -2, -1, -1, -1, -3, -4, -2, -2, -2]
sucker	-2.4	1.2	[-3, -1, -1, -2, -1, -4, -4, -2, -4, -2]
suckered	-2.0	1.0	[-2, -1, -1, -3, -3, -1, -1, -2, -2, -4]
suckering	-2.1	0.7	[-2, -3, -2, -1, -2, -3, -3, -2, -1, -2]
suckers	-2.3	1.00499	[-2, -1, -2, -4, -1, -2, -3, -2, -4, -2]
sucks	-1.5	1.28452	[-1, -2, -2, -1, -3, -4, -1, 1, -1, -1]
sucky	-1.9	0.9434	[-1, -2, -2, -1, -2, -4, -1, -1, -3, -2]
suffer	-2.5	0.67082	[-3, -3, -2, -2, -3, -3, -3, -2, -1, -3]
suffered	-2.2	0.74833	[-3, -2, -1, -3, -2, -3, -1, -3, -2, -2]
sufferer	-2.0	0.63246	[-3, -2, -2, -2, -2, -3, -1, -2, -2, -1]
sufferers	-2.4	0.8	[-1, -3, -3, -2, -1, -2, -3, -3, -3, -3]
suffering	-2.1	0.83066	[-2, -1, -3, -2, -1, -2, -3, -3, -1, -3]
suffers	-2.1	0.7	[-3, -2, -1, -2, -2, -2, -3, -1, -3, -2]
suicidal	-3.5	0.67082	[-4, -4, -4, -4, -3, -4, -3, -3, -2, -4]
suicide	-3.5	0.67082	[-4, -3, -4, -4, -4, -2, -3, -4, -4, -3]
suing	-1.1	1.13578	[1, -1, -1, 0, -1, -3, -1, -1, -3, -1]
sulking	-1.5	0.67082	[-2, -1, -3, -1, -1, -2, -1, -2, -1, -1]
sulky	-0.8	1.77764	[-3, 3, -2, -3, 0, -2, 0, -1, 1, -1]
sullen	-1.7	1.00499	[0, -2, -2, -1, -1, -4, -2, -1, -2, -2]
sunnier	2.3	0.64031	[3, 2, 3, 2, 3, 2, 2, 1, 3, 2]
sunniest	2.4	1.28062	[2, 0, 4, 2, 1, 3, 2, 4, 4, 2]
sunny	1.8	0.87178	[2, 2, 1, 2, 0, 2, 3, 3, 2, 1]
sunshine	2.2	0.6	[3, 1, 2, 2, 2, 2, 2, 3, 3, 2]
sunshiny	1.9	0.7	[2, 2, 3, 1, 2, 2, 1, 3, 1, 2]
super	2.9	0.7	[4, 2, 4, 3, 3, 3, 2, 3, 2, 3]
superb	3.1	0.9434	[3, 4, 2, 4, 3, 1, 3, 3, 4, 4]
superior	2.5	1.11803	[2, 3, 1, 3, 3, 0, 3, 3, 4, 3]
superiorities	0.8	1.6	[-1, 1, 3, -1, -1, 2, 2, 1, 3, -1]
superiority	1.4	1.2	[0, 1, -1, 3, 1, 2, 2, 2, 3, 1]
superiorly	2.2	1.4	[4, 3, 1, 2, 3, -1, 2, 4, 2, 2]
superiors	1.0	1.0	[3, 0, 0, 1, 2, 1, 1, 2, 0, 0]
support	1.7	0.9	[1, 1, 1, 2, 1, 3, 3, 3, 1, 1]
supported	1.3	0.45826	[2, 1, 2, 1, 1, 2, 1, 1, 1, 1]
supporter	1.1	0.3	[1, 1, 1, 1, 1, 2, 1, 1, 1, 1]
supporters	1.9	0.7	[1, 1, 1, 2, 2, 3, 2, 2, 3, 2]
supporting	1.9	0.9434	[3, 2, 1, 1, 3, 3, 1, 1, 3, 1]
supportive	1.2	0.4	[1, 1, 1, 1, 1, 2, 2, 1, 1, 1]
supportiveness	1.5	1.11803	[3, 1, 2, 1, 3, 2, 2, 1, -1, 1]
supports	1.5	0.67082	[2, 1, 2, 0, 2, 2, 2, 1, 1, 2]
supremacies	0.8	1.72047	[3, -2, 3, 0, 0, 2, -1, 3, 0, 0]
supremacist	0.5	2.15639	[3, 2, -3, 1, 2, 2, 2, -2, 1, -3]
supremacists	-1.0	1.89737	[-4, -2, -1, -3, -2, 2, 2, 0, 0, -2]
supremacy	0.2	1.77764	[-1, -2, 0, 3, 2, 0, -3, 0, 1, 2]
suprematists	0.4	1.56205	[2, 1, 0, 0, 2, 2, 2, -2, -1, -2]
supreme	2.6	1.11355	[2, 3, 2, 1, 4, 2, 1, 3, 4, 4]
supremely	2.7	1.00499	[2, 4, 1, 4, 2, 4, 2, 3, 2, 3]
supremeness	2.3	0.64031	[1, 2, 2, 3, 3, 2, 2, 3, 3, 2]
supremer	2.3	1.1	[4, 3, 3, 0, 1, 2, 3, 2, 3, 2]
supremest	2.2	1.98997	[4, 3, 1, 0, 4, 4, -2, 3, 1, 4]
supremo	1.9	1.3	[1, 0, 3, 0, 4, 3, 1, 3, 2, 2]
supremos	1.3	0.78102	[0, 2, 2, 1, 0, 2, 2, 1, 2, 1]
sure	1.3	0.64031	[1, 1, 3, 1, 1, 2, 1, 1, 1, 1]
surefire	1.0	0.7746	[1, 1, 0, 2, 2, 1, 0, 1, 2, 0]
surefooted	1.9	0.83066	[0, 3, 2, 2, 2, 2, 1, 2, 3, 2]
surefootedly	1.6	0.91652	[1, 1, 2, 0, 2, 1, 3, 3, 1, 2]
surefootedness	1.5	1.20416	[2, 1, 4, 1, 0, 3, 2, 1, 1, 0]
surely	1.9	0.7	[2, 2, 2, 1, 1, 1, 3, 2, 3, 2]
sureness	2.0	0.7746	[2, 3, 2, 1, 2, 1, 3, 3, 2, 1]
surer	1.2	1.32665	[1, 1, 3, 1, 3, 2, 1, -2, 1, 1]
surest	1.3	0.78102	[2, 0, 2, 2, 2, 1, 0, 1, 1, 2]
sureties	1.3	0.9	[2, 0, 2, 0, 2, 2, 1, 2, 0, 2]
surety	1.0	0.44721	[1, 1, 1, 1, 1, 0, 1, 1, 2, 1]
suretyship	-0.1	1.51327	[-1, 0, 0, -2, -1, 2, -2, 3, 0, 0]
suretyships	0.4	0.66332	[0, 0, 0, 1, 0, 0, 1, 0, 0, 2]
surprisal	1.5	0.80623	[3, 1, 1, 2, 1, 2, 2, 1, 2, 0]
surprisals	0.7	1.1	[0, 0, 0, 0, 0, 0, 0, 2, 2, 3]
surprise	1.1	1.04403	[0, 2, 0, 2, 3, 0, 1, 1, 2, 0]
surprised	0.9	0.9434	[2, 0, 0, 0, 0, 2, 2, 1, 2, 0]
surpriser	0.6	0.66332	[2, 0, 0, 0, 0, 1, 1, 1, 1, 0]
surprisers	0.3	1.00499	[2, 0, 1, 1, 0, 0, -2, 1, 0, 0]
surprises	0.9	0.7	[2, 0, 0, 0, 1, 1, 2, 1, 1, 1]
surprising	1.1	0.9434	[1, 1, 1, 0, 0, 2, 0, 1, 3, 2]
surprisingly	1.2	0.87178	[1, 0, 2, 0, 0, 2, 2, 1, 2, 2]
survived	2.3	0.78102	[3, 4, 2, 2, 2, 1, 2, 3, 2, 2]
surviving	1.2	0.87178	[1, 3, 1, 0, 2, 0, 1, 1, 1, 2]
survivor	1.5	1.0247	[1, 3, 2, 3, 1, 0, 0, 1, 2, 2]
suspect	-1.2	0.9798	[0, -1, -1, -2, -2, -2, 1, -1, -2, -2]
suspected	-0.9	1.13578	[-1, 0, -1, -2, -1, -1, -2, 2, -2, -1]
suspecting	-0.7	1.34536	[-1, 2, -1, -1, -1, 1, -2, -1, -3, 0]
suspects	-1.4	0.91652	[-2, -2, -2, -1, -2, -1, -2, -2, 1, -1]
suspend	-1.3	0.64031	[0, -2, -1, -2, -1, -1, -2, -1, -2, -1]
suspended	-2.1	0.83066	[-2, -1, -2, -3, -3, -1, -3, -1, -2, -3]
suspicion	-1.6	0.91652	[-2, -2, -1, -2, 1, -2, -2, -2, -2, -2]
suspicions	-1.5	0.67082	[-1, -2, -1, -2, -1, -1, -3, -1, -2, -1]
suspicious	-1.5	0.67082	[-1, -2, -1, -1, -2, -1, -2, -1, -3, -1]
suspiciously	-1.7	0.45826	[-2, -2, -1, -2, -1, -2, -2, -1, -2, -2]
suspiciousness	-1.2	1.46969	[-2, -3, -2, -1, -1, 1, 2, -2, -2, -2]
sux	-1.5	0.92195	[-1, -1, -2, -1, -2, -1, -3, 0, -3, -1]
swear	-0.2	1.53623	[-2, 2, -1, 1, 1, 0, -1, -2, 2, -2]
swearing	-1.0	1.09545	[0, -2, -1, -1, -2, 0, 1, -3, -1, -1]
swears	0.2	1.4	[1, -2, 2, 0, 1, -2, -1, 2, 1, 0]
sweet	2.0	0.63246	[1, 2, 2, 2, 3, 3, 2, 1, 2, 2]
sweet<3	3.0	0.44721	[3, 3, 3, 3, 4, 2, 3, 3, 3, 3]
sweetheart	3.3	1.00499	[4, 1, 3, 4, 4, 4, 2, 3, 4, 4]
sweethearts	2.8	0.87178	[2, 2, 2, 4, 3, 2, 4, 3, 4, 2]
sweetie	2.2	0.6	[2, 3, 3, 2, 1, 3, 2, 2, 2, 2]
sweeties	2.1	0.9434	[1, 2, 2, 3, 2, 1, 2, 4, 3, 1]
sweetly	2.1	0.7	[1, 2, 2, 2, 2, 2, 1, 3, 3, 3]
sweetness	2.2	0.74833	[3, 2, 3, 1, 2, 2, 3, 3, 2, 1]
sweets	2.2	0.6	[2, 1, 3, 2, 2, 2, 3, 2, 3, 2]
swift	0.8	0.6	[1, 0, 1, 1, 0, 2, 0, 1, 1, 1]
swiftly	1.2	0.9798	[0, 3, 1, 0, 1, 1, 1, 3, 1, 1]
swindle	-2.4	1.0198	[-1, -4, -1, -3, -3, -2, -2, -2, -4, -2]
swindles	-1.5	0.92195	[0, -2, -2, -3, -2, -1, -1, 0, -2, -2]
swindling	-2.0	1.0	[-2, -2, -2, -4, -1, 0, -3, -2, -2, -2]
sympathetic	2.3	0.64031	[3, 3, 2, 2, 3, 3, 2, 2, 1, 2]
sympathy	1.5	1.11803	[-1, 2, 3, 2, 1, 1, 1, 2, 1, 3]
talent	1.8	1.07703	[3, 1, 2, 2, 0, 3, 3, 2, 2, 0]
talented	2.3	0.64031	[1, 2, 2, 3, 2, 3, 3, 2, 3, 2]
talentless	-1.6	0.4899	[-2, -2, -2, -1, -2, -1, -1, -1, -2, -2]
talents	2.0	1.18322	[2, 4, 1, 2, 0, 2, 4, 2, 2, 1]
tantrum	-1.8	1.16619	[-3, -2, -2, -3, -1, 0, -1, 0, -3, -3]
tantrums	-1.5	1.36015	[-1, -2, -4, -2, -2, -1, -1, 0, 1, -3]
tard	-2.5	0.92195	[-3, -3, -3, -2, -2, -3, -1, -4, -1, -3]
tears	-0.9	1.13578	[0, -2, -2, -1, -1, -2, -2, 1, 1, -1]
teas	0.3	0.45826	[1, 0, 0, 0, 0, 1, 0, 1, 0, 0]
tease	-1.3	0.9	[0, -1, -1, -2, -1, 0, -3, -2, -1, -2]
teased	-1.2	0.87178	[0, -2, -2, -1, -1, -1, 0, -3, -1, -1]
teasel	-0.1	0.3	[0, -1, 0, 0, 0, 0, 0, 0, 0, 0]
teaseled	-0.8	0.74833	[-1, 0, -1, 0, 0, -1, -2, -1, -2, 0]
teaseler	-0.8	0.87178	[0, 0, -2, 0, 0, -1, -2, -1, -2, 0]
teaselers	-1.2	1.249	[0, -3, 0, 0, 0, -3, -2, -2, -2, 0]
teaseling	-0.4	0.91652	[-1, 0, -3, 0, 0, 0, 0, 0, 0, 0]
teaselled	-0.4	0.91652	[0, -3, 0, 0, 0, 0, -1, 0, 0, 0]
teaselling	-0.2	0.4	[0, 0, 0, 0, -1, 0, -1, 0, 0, 0]
teasels	-0.1	0.3	[0, 0, 0, 0, 0, 0, 0, 0, -1, 0]
teaser	-1.0	1.18322	[0, -1, -3, -1, -1, -1, 0, -3, -1, 1]
teasers	-0.7	1.1	[-1, -2, -3, -1, 0, 0, -1, 1, 0, 0]
teases	-1.2	0.74833	[-1, -1, 0, -1, -2, -1, -3, -1, -1, -1]
teashops	0.2	0.4	[0, 1, 0, 1, 0, 0, 0, 0, 0, 0]
teasing	-0.3	1.1	[0, 0, 1, 1, -1, 0, 0, 0, -1, -3]
teasingly	-0.4	1.11355	[0, 1, 1, 0, -2, 0, -2, 0, -2, 0]
teaspoon	0.2	0.4	[0, 0, 0, 0, 0, 0, 1, 0, 1, 0]
teaspoonful	0.2	0.4	[0, 0, 0, 1, 0, 0, 1, 0, 0, 0]
teaspoonfuls	0.4	0.8	[2, 0, 0, 0, 0, 0, 0, 0, 2, 0]
teaspoons	0.5	0.80623	[0, 0, 0, 2, 0, 0, 1, 2, 0, 0]
teaspoonsful	0.3	0.9	[2, 0, 0, 0, 0, 2, 0, -1, 0, 0]
temper	-1.8	0.4	[-1, -2, -2, -2, -2, -2, -2, -2, -1, -2]
tempers	-1.3	0.64031	[-1, -1, 0, -1, -1, -2, -2, -2, -1, -2]
tendered	0.5	0.92195	[0, 0, 2, 1, -1, -1, 1, 1, 1, 1]
tenderer	0.6	0.66332	[0, 1, 1, 0, 0, 0, 2, 1, 1, 0]
tenderers	1.2	0.9798	[2, 0, 0, 1, 0, 2, 3, 1, 1, 2]
tenderest	1.4	1.56205	[2, 1, 3, -1, 0, 2, 2, 2, -1, 4]
tenderfeet	-0.4	0.91652	[-1, -1, 0, 0, -1, 0, -1, -2, 1, 1]
tenderfoot	-0.1	0.53852	[-1, 1, 0, 0, 0, 0, 0, -1, 0, 0]
tenderfoots	-0.5	1.11803	[1, -1, 0, 0, 0, -1, -1, 1, -3, -1]
tenderhearted	1.5	1.0247	[2, 2, 1, 2, 3, 1, 1, -1, 2, 2]
tenderheartedly	2.7	0.64031	[2, 2, 2, 3, 3, 3, 3, 4, 3, 2]
tenderheartedness	0.7	1.48661	[1, 3, 2, 2, -1, -1, 1, -2, 1, 1]
tenderheartednesses	2.8	0.74833	[2, 3, 3, 2, 3, 3, 4, 4, 2, 2]
tendering	0.6	0.66332	[0, 0, 1, 1, 1, 0, 0, 1, 2, 0]
tenderization	0.2	0.74833	[-1, 2, 0, 0, 0, 1, 0, 0, 0, 0]
tenderize	0.1	0.53852	[0, 0, 0, 0, 0, -1, 0, 1, 0, 1]
tenderized	0.1	0.53852	[0, 1, 0, 1, 0, 0, -1, 0, 0, 0]
tenderizer	0.4	0.66332	[0, 1, 0, 1, 0, 0, 2, 0, 0, 0]
tenderizes	0.3	0.45826	[0, 1, 0, 1, 0, 0, 1, 0, 0, 0]
tenderizing	0.3	0.45826	[1, 1, 0, 0, 0, 1, 0, 0, 0, 0]
tenderloin	-0.2	0.74833	[0, 0, 0, 0, -2, 0, 1, 0, -1, 0]
tenderloins	0.4	0.66332	[1, 0, 0, 0, 2, 0, 0, 1, 0, 0]
tenderly	1.8	0.74833	[2, 1, 2, 1, 3, 2, 1, 2, 3, 1]
tenderness	1.8	0.4	[2, 2, 1, 2, 2, 2, 2, 1, 2, 2]
tendernesses	0.9	1.44568	[1, 2, 1, 1, 3, -1, -2, 2, 2, 0]
tenderometer	0.2	0.4	[1, 0, 0, 0, 0, 1, 0, 0, 0, 0]
tenderometers	0.2	0.4	[0, 0, 1, 0, 0, 0, 0, 0, 1, 0]
tenders	0.6	0.8	[0, 2, 0, 1, 1, 1, -1, 0, 1, 1]
tense	-1.4	0.4899	[-1, -1, -1, -1, -1, -2, -1, -2, -2, -2]
tensed	-1.0	0.44721	[-1, 0, -1, -1, -1, -1, -2, -1, -1, -1]
tensely	-1.2	0.6	[-1, -2, -2, -2, -1, 0, -1, -1, -1, -1]
tenseness	-1.5	0.67082	[-1, -1, -1, -1, -1, -2, -2, -1, -2, -3]
tenser	-1.5	0.67082	[-2, -2, -1, -2, -1, -1, -3, -1, -1, -1]
tenses	-0.9	1.04403	[-1, -3, 0, 0, 0, -1, 0, -2, -2, 0]
tensest	-1.2	1.07703	[-2, 0, -2, -2, -2, 0, 1, -1, -2, -2]
tensing	-1.0	0.44721	[-1, -2, -1, 0, -1, -1, -1, -1, -1, -1]
tension	-1.3	1.00499	[-2, -1, -1, -1, -1, -2, -2, -3, 1, -1]
tensional	-0.8	0.74833	[-1, 0, -1, -1, -1, -2, 1, -1, -1, -1]
tensioned	-0.4	1.11355	[-2, 0, -1, 2, -1, 0, -1, -1, -1, 1]
tensioner	-1.6	0.8	[-1, -3, -2, -2, -2, 0, -1, -2, -1, -2]
tensioners	-0.9	1.04403	[-1, 0, -2, -2, -1, 1, -2, 0, 0, -2]
tensioning	-1.4	1.0198	[-1, -1, -1, -1, 0, -2, -3, -3, 0, -2]
tensionless	0.6	0.8	[1, 1, 1, -1, 0, 0, 0, 2, 1, 1]
tensions	-1.7	0.78102	[-1, -3, -1, -1, -2, -2, -3, -1, -2, -1]
terrible	-2.1	0.9434	[-1, -3, -2, -1, -3, -1, -2, -2, -4, -2]
terribleness	-1.9	1.81384	[3, -3, -3, -3, -3, -1, -2, -1, -3, -3]
terriblenesses	-2.6	0.4899	[-2, -3, -3, -2, -3, -2, -2, -3, -3, -3]
terribly	-2.6	0.4899	[-3, -3, -3, -2, -2, -3, -3, -2, -2, -3]
terrific	2.1	1.81384	[4, 3, 4, 1, -1, -1, 4, 2, 2, 3]
terrifically	1.7	1.95192	[2, 2, 4, 2, 3, 3, -2, 3, -2, 2]
terrified	-3.0	0.63246	[-2, -3, -3, -3, -4, -3, -4, -2, -3, -3]
terrifies	-2.6	1.0198	[-2, -4, -3, -3, -4, -1, -2, -3, -1, -3]
terrify	-2.3	0.78102	[-3, -3, -2, -2, -1, -4, -2, -2, -2, -2]
terrifying	-2.7	0.78102	[-4, -3, -3, -2, -2, -2, -4, -2, -3, -2]
terror	-2.4	1.2	[-3, -4, -2, -1, 0, -4, -3, -2, -2, -3]
terrorise	-3.1	0.83066	[-2, -3, -4, -4, -3, -3, -2, -4, -2, -4]
terrorised	-3.3	0.64031	[-3, -3, -4, -3, -2, -4, -4, -3, -4, -3]
terrorises	-3.3	0.45826	[-3, -3, -4, -3, -3, -4, -4, -3, -3, -3]
terrorising	-3.0	0.44721	[-3, -3, -3, -3, -2, -3, -4, -3, -3, -3]
terrorism	-3.6	0.4899	[-4, -3, -4, -4, -4, -3, -3, -4, -3, -4]
terrorisms	-3.2	0.6	[-4, -4, -4, -3, -3, -3, -2, -3, -3, -3]
terrorist	-3.7	0.45826	[-4, -3, -4, -4, -4, -3, -4, -4, -3, -4]
terroristic	-3.3	0.78102	[-4, -3, -2, -3, -4, -3, -4, -2, -4, -4]
terrorists	-3.1	0.9434	[-3, -4, -2, -2, -4, -2, -2, -4, -4, -4]
terrorization	-2.7	0.9	[-4, -4, -3, -2, -2, -4, -2, -2, -2, -2]
terrorize	-3.3	0.78102	[-4, -4, -3, -3, -4, -2, -2, -4, -3, -4]
terrorized	-3.1	0.7	[-2, -3, -2, -4, -4, -4, -3, -3, -3, -3]
terrorizes	-3.1	0.53852	[-2, -3, -3, -4, -3, -4, -3, -3, -3, -3]
terrorizing	-3.0	1.0	[-3, -1, -4, -4, -4, -3, -2, -3, -2, -4]
terrorless	0.9	1.04403	[-2, 2, 1, 2, 1, 1, 1, 1, 1, 1]
terrors	-2.6	0.4899	[-2, -3, -3, -3, -2, -2, -3, -2, -3, -3]
thank	1.5	0.92195	[3, 1, 1, 0, 1, 1, 2, 3, 1, 2]
thanked	1.9	1.22066	[1, 3, 1, 1, 1, 1, 4, 4, 2, 1]
thankful	2.7	0.78102	[4, 2, 2, 3, 2, 4, 3, 3, 2, 2]
thankfuller	1.9	0.53852	[2, 2, 1, 2, 2, 2, 1, 2, 3, 2]
thankfullest	2.0	1.0	[3, 1, 1, 4, 1, 2, 2, 2, 3, 1]
thankfully	1.8	0.6	[2, 1, 2, 1, 2, 3, 2, 2, 1, 2]
thankfulness	2.1	1.44568	[3, 3, 4, 2, 2, 1, -1, 1, 2, 4]
thanks	1.9	1.04403	[1, 1, 1, 1, 3, 2, 1, 4, 3, 2]
thief	-2.4	0.66332	[-3, -2, -2, -2, -2, -4, -2, -2, -3, -2]
thieve	-2.2	0.4	[-2, -2, -2, -3, -2, -2, -3, -2, -2, -2]
thieved	-1.4	1.28062	[-1, -2, -3, -1, -2, 2, -2, -1, -2, -2]
thieveries	-2.1	0.53852	[-2, -3, -2, -3, -1, -2, -2, -2, -2, -2]
thievery	-2.0	0.89443	[-2, -2, -2, -1, -1, -3, -1, -2, -4, -2]
thieves	-2.3	0.78102	[-3, -2, -2, -4, -1, -2, -2, -2, -3, -2]
thorny	-1.1	0.83066	[1, -1, -1, -1, -1, -1, -1, -2, -2, -2]
thoughtful	1.6	0.4899	[2, 2, 1, 1, 1, 1, 2, 2, 2, 2]
thoughtfully	1.7	0.64031	[2, 1, 1, 3, 1, 2, 1, 2, 2, 2]
thoughtfulness	1.9	0.53852	[1, 2, 1, 2, 2, 3, 2, 2, 2, 2]
thoughtless	-2.0	0.63246	[-2, -1, -3, -3, -2, -1, -2, -2, -2, -2]
threat	-2.4	0.66332	[-2, -3, -2, -2, -2, -4, -3, -2, -2, -2]
threaten	-1.6	1.56205	[-4, -1, -3, -2, 1, -3, -1, 1, -2, -2]
threatened	-2.0	0.63246	[-2, -2, -3, -2, -2, -1, -2, -3, -1, -2]
threatener	-1.4	1.68523	[-2, -2, -3, -2, 3, 0, -2, -3, -1, -2]
threateners	-1.8	0.74833	[-3, -1, -2, -1, -1, -3, -2, -2, -2, -1]
threatening	-2.4	0.8	[-3, -3, -2, -3, -2, -1, -3, -1, -3, -3]
threateningly	-2.2	0.6	[-2, -2, -2, -2, -2, -2, -2, -2, -4, -2]
threatens	-1.6	1.56205	[-2, -2, -2, 1, -4, -3, -3, -1, 1, -1]
threating	-2.0	0.44721	[-3, -2, -2, -2, -1, -2, -2, -2, -2, -2]
threats	-1.8	0.74833	[-1, -1, -1, -2, -2, -2, -3, -3, -2, -1]
thrill	1.5	1.11803	[2, 2, 2, 0, 1, -1, 2, 3, 2, 2]
thrilled	1.9	1.81384	[3, -1, 3, 3, 1, -2, 3, 3, 3, 3]
thriller	0.4	1.2	[0, 0, 3, 1, 1, -2, 0, 1, 0, 0]
thrillers	0.1	0.83066	[0, 2, 0, 0, 0, -1, 0, -1, 0, 1]
thrilling	2.1	1.04403	[3, 0, 2, 3, 1, 3, 3, 2, 1, 3]
thrillingly	2.0	0.7746	[0, 2, 2, 3, 3, 2, 2, 2, 2, 2]
thrills	1.5	0.92195	[2, 3, 1, 2, 0, 2, 1, 0, 2, 2]
thwarted	-0.1	1.75784	[1, -2, -3, 0, 2, 0, 2, -2, -1, 2]
thwarting	-0.7	0.78102	[0, 0, -1, -1, -1, -2, 1, -1, -1, -1]
thwarts	-0.4	1.28062	[-2, 0, 0, -2, 0, 1, 2, 0, -1, -2]
ticked	-1.8	0.6	[-2, -1, -1, -2, -2, -1, -2, -2, -3, -2]
timid	-1.0	0.44721	[-1, -1, -1, -1, 0, -1, -2, -1, -1, -1]
timider	-1.0	0.44721	[-1, -2, -1, -1, -1, 0, -1, -1, -1, -1]
timidest	-0.9	0.7	[0, -1, 0, -1, 0, -1, -1, -2, -1, -2]
timidities	-0.7	0.64031	[-1, -1, -1, 0, -2, 0, -1, 0, 0, -1]
timidity	-1.3	0.45826	[-1, -2, -1, -1, -1, -1, -2, -2, -1, -1]
timidly	-0.7	0.78102	[0, -1, -1, -1, -1, 1, 0, -1, -2, -1]
timidness	-1.0	0.89443	[-1, -2, -1, 0, -1, -2, 1, -2, -1, -1]
timorous	-0.8	0.9798	[-2, -1, -1, -1, -1, -2, -1, 1, 1, -1]
tired	-1.9	0.7	[-2, -1, -2, -3, -2, -3, -1, -1, -2, -2]
tits	-0.9	0.53852	[-1, -1, -2, -1, -1, -1, 0, -1, 0, -1]
tolerance	1.2	1.53623	[2, 3, 2, 2, -2, 1, 1, 3, -1, 1]
tolerances	0.3	0.9	[-1, 1, 0, 0, 1, 2, 0, -1, 1, 0]
tolerant	1.1	0.53852	[1, 2, 1, 1, 1, 1, 1, 1, 0, 2]
tolerantly	0.4	1.2	[0, 1, 1, 1, 0, -3, 1, 1, 1, 1]
toothless	-1.4	1.0198	[-1, -4, -1, -2, -1, 0, -1, -2, -1, -1]
top	0.8	0.87178	[1, 3, 1, 1, 1, 0, 0, 1, 0, 0]
tops	2.3	1.00499	[3, 3, 3, 0, 2, 2, 3, 3, 1, 3]
torn	-1.0	1.0	[-1, -1, -1, 0, -1, -1, -3, -2, 1, -1]
torture	-2.9	1.51327	[-4, -4, -3, -4, 1, -2, -3, -2, -4, -4]
tortured	-2.6	1.0198	[-4, -1, -2, -2, -4, -3, -2, -2, -4, -2]
torturer	-2.3	1.18743	[-4, -1, -1, -2, -4, -1, -2, -2, -4, -2]
torturers	-3.5	0.67082	[-4, -4, -3, -3, -4, -4, -4, -2, -3, -4]
tortures	-2.5	0.92195	[-2, -3, -2, -4, -1, -3, -2, -4, -2, -2]
torturing	-3.0	0.89443	[-4, -4, -4, -2, -3, -2, -4, -2, -2, -3]
torturous	-2.7	0.78102	[-3, -3, -1, -3, -4, -2, -2, -3, -3, -3]
torturously	-2.2	1.6	[2, -3, -3, -2, -3, -2, -4, -3, -1, -3]
totalitarian	-2.1	1.3	[0, -4, -3, 0, -3, -2, -3, -1, -2, -3]
totalitarianism	-2.7	1.18743	[-2, -3, 0, -4, -2, -4, -4, -2, -3, -3]
tough	-0.5	1.43178	[0, -2, 0, 0, 1, 2, -1, -2, -3, 0]
toughed	0.7	0.64031	[1, 1, 0, 1, 1, 0, 2, 1, 0, 0]
toughen	0.1	1.04403	[0, 0, 1, 0, 1, 0, 2, 0, -2, -1]
toughened	0.1	0.53852	[1, 0, 0, 0, 0, -1, 1, 0, 0, 0]
toughening	0.9	0.83066	[0, 2, 2, 1, 1, 0, 1, 0, 0, 2]
toughens	-0.2	1.16619	[1, -1, 0, 1, 0, -2, -2, 1, -1, 1]
tougher	0.7	1.00499	[1, 1, -1, 0, 2, 0, 2, 2, 0, 0]
toughest	-0.3	1.84662	[2, 1, -1, -3, 0, -2, 2, -2, 2, -2]
toughie	-0.7	0.64031	[-1, 1, 0, -1, -1, -1, -1, -1, -1, -1]
toughies	-0.6	0.66332	[-1, -1, -1, 0, 0, -1, 1, -1, -1, -1]
toughing	-0.5	1.20416	[-1, 0, -2, 0, 0, -2, 2, 0, -2, 0]
toughish	-1.0	1.0	[0, -1, 0, -2, -2, -1, 1, -2, -2, -1]
toughly	-1.1	0.83066	[-1, 0, 0, -1, 0, -1, -2, -2, -2, -2]
toughness	-0.2	1.07703	[0, 0, -1, -2, 0, 1, 1, 1, -2, 0]
toughnesses	0.3	1.18743	[1, 2, -1, 0, 1, 1, -2, 1, -1, 1]
toughs	-0.8	1.16619	[0, 0, -1, 0, -1, -3, -2, 1, 0, -2]
toughy	-0.5	1.11803	[-1, -2, -1, 0, -1, -1, 1, -1, 2, -1]
tout	-0.5	0.67082	[-1, 0, -2, -1, 0, 0, -1, 0, 0, 0]
touted	-0.2	0.9798	[-1, 2, 0, -2, -1, 0, 0, 0, 0, 0]
touting	-0.7	0.64031	[0, 0, -1, -1, -1, -1, 0, -2, 0, -1]
touts	-0.1	0.7	[1, 1, 0, -1, 0, -1, -1, 0, 0, 0]
tragedian	-0.5	0.67082	[-2, 0, -1, 0, 0, -1, 0, -1, 0, 0]
tragedians	-1.0	1.18322	[-1, 0, -2, -1, 0, -3, 0, 0, 0, -3]
tragedienne	-0.4	0.4899	[0, 0, -1, -1, 0, 0, -1, -1, 0, 0]
tragediennes	-1.4	1.28062	[0, -3, 0, -1, -3, 0, -2, -3, 0, -2]
tragedies	-1.9	1.86815	[-3, -4, -2, 2, -3, -4, -2, 1, -2, -2]
tragedy	-3.4	1.0198	[-4, -4, -4, -4, -2, -3, -1, -4, -4, -4]
tragic	-2.0	1.94936	[-1, -3, -4, -3, -3, -4, -2, 1, 2, -3]
tragical	-2.4	1.11355	[-3, -3, -3, -2, -1, -3, -4, -3, 0, -2]
tragically	-2.7	1.48661	[-4, -4, -4, -2, -1, -4, -1, 0, -3, -4]
tragicomedy	0.2	0.9798	[0, -2, 0, 0, 0, 2, 1, 1, 0, 0]
tragicomic	-0.2	0.74833	[0, -1, 1, 0, 0, 0, -2, 0, 0, 0]
tragics	-2.2	0.74833	[-3, -2, -4, -1, -2, -2, -2, -2, -2, -2]
tranquil	0.2	1.77764	[2, 1, -1, 2, -3, 3, -1, 1, -1, -1]
tranquiler	1.9	0.7	[2, 1, 2, 2, 3, 3, 2, 2, 1, 1]
tranquilest	1.6	1.35647	[1, 2, 2, 2, 0, 2, -1, 4, 3, 1]
tranquilities	1.5	1.36015	[3, 2, 4, -1, 1, 0, 2, 2, 1, 1]
tranquility	1.8	1.16619	[3, 2, 1, 2, 3, 4, 1, 1, 1, 0]
tranquilize	0.3	1.00499	[0, -2, 1, -1, 1, 1, 1, 0, 1, 1]
tranquilized	-0.2	1.32665	[-2, 0, 1, 0, 1, 2, 0, -2, -2, 0]
tranquilizer	-0.1	0.9434	[0, 1, -1, 0, -1, 0, -2, 1, 1, 0]
tranquilizers	-0.4	0.8	[0, 0, 0, -2, -1, -1, -1, 1, 0, 0]
tranquilizes	-0.1	0.9434	[-2, 0, 1, 0, 1, 1, 0, -1, -1, 0]
tranquilizing	-0.5	0.67082	[-1, 0, 0, -1, -1, -1, 1, 0, -1, -1]
tranquillest	0.8	1.4	[1, 1, 2, 3, 1, 1, 0, -1, -2, 2]
tranquillities	0.5	1.20416	[-2, 1, 2, 0, 2, 1, 0, -1, 1, 1]
tranquillity	1.8	1.07703	[1, 2, 2, 2, 3, 3, 2, -1, 2, 2]
tranquillized	-0.2	1.07703	[0, 1, 0, 0, -3, 0, 1, 0, -1, 0]
tranquillizer	-0.1	0.7	[0, 1, 0, 0, -1, 0, 1, 0, -1, -1]
tranquillizers	-0.2	0.74833	[0, 0, 0, -2, 1, 0, 0, 0, -1, 0]
tranquillizes	0.1	0.7	[-1, -1, 0, 0, 1, 1, 1, 0, 0, 0]
tranquillizing	0.8	0.87178	[1, 2, 0, 2, 0, 0, 2, 0, 0, 1]
tranquilly	1.2	0.87178	[2, 2, 1, 2, -1, 2, 1, 1, 1, 1]
tranquilness	1.5	1.20416	[3, 3, 1, 2, 2, 2, 0, -1, 1, 2]
trap	-1.3	0.78102	[-1, -1, -2, 0, -1, -1, -2, -1, -1, -3]
trapped	-2.4	0.91652	[-3, -2, -3, -1, -3, -1, -2, -2, -4, -3]
trauma	-1.8	1.249	[-2, -2, -3, -1, -2, 1, -2, -4, -1, -2]
traumas	-2.2	1.6	[-3, -3, -2, -4, 0, -1, -4, -3, 1, -3]
traumata	-1.7	1.34536	[-2, -3, -2, 0, -2, 1, -4, -2, -1, -2]
traumatic	-2.7	1.00499	[-2, -4, -2, -1, -4, -3, -2, -3, -4, -2]
traumatically	-2.8	0.6	[-4, -2, -3, -2, -2, -3, -3, -3, -3, -3]
traumatise	-2.8	0.6	[-4, -3, -3, -2, -2, -3, -2, -3, -3, -3]
traumatised	-2.4	0.91652	[-4, -4, -2, -2, -1, -2, -3, -2, -2, -2]
traumatises	-2.2	0.87178	[-3, -4, -2, -2, -1, -2, -3, -1, -2, -2]
traumatising	-1.9	1.86815	[-3, -3, -3, -1, -3, 1, -4, -2, 2, -3]
traumatism	-2.4	0.4899	[-3, -2, -3, -2, -2, -2, -2, -3, -3, -2]
traumatization	-3.0	1.0	[-4, -4, -4, -2, -2, -2, -4, -4, -2, -2]
traumatizations	-2.2	1.16619	[-3, -2, -4, 0, -1, -2, -4, -2, -2, -2]
traumatize	-2.4	0.66332	[-3, -3, -2, -4, -2, -2, -2, -2, -2, -2]
traumatized	-1.7	1.41774	[-1, -2, -2, -2, 2, -4, -2, -2, -2, -2]
traumatizes	-1.4	1.42829	[-2, -1, -2, -2, 2, -4, -1, -2, -1, -1]
traumatizing	-2.3	1.61555	[-4, -2, -2, -3, -2, -4, -4, 1, 0, -3]
travesty	-2.7	1.48661	[-3, -4, 0, -2, -4, -3, -4, 0, -3, -4]
treason	-1.9	1.75784	[-3, -3, -2, -3, -3, 1, -2, -3, -3, 2]
treasonous	-2.7	1.34536	[-3, -3, -3, -4, -3, -4, -2, 1, -3, -3]
treasurable	2.5	0.67082	[2, 3, 3, 3, 2, 4, 2, 2, 2, 2]
treasure	1.2	1.16619	[3, 1, 3, 2, 0, 2, 1, 0, 0, 0]
treasured	2.6	0.66332	[3, 3, 2, 3, 3, 2, 1, 3, 3, 3]
treasurer	0.5	0.67082	[1, 0, 0, 0, 1, 0, 0, 0, 1, 2]
treasurers	0.4	0.66332	[0, 0, 0, 0, 1, 1, 2, 0, 0, 0]
treasurership	0.4	0.66332	[0, 0, 2, 0, 1, 0, 1, 0, 0, 0]
treasurerships	1.2	0.87178	[2, 0, 2, 0, 2, 1, 2, 2, 1, 0]
treasures	1.8	1.32665	[3, 3, 0, 1, 1, 4, 0, 3, 2, 1]
treasuries	0.9	1.04403	[0, 0, 1, 3, 2, 2, 0, 1, 0, 0]
treasuring	2.1	0.7	[2, 1, 3, 1, 3, 2, 2, 2, 2, 3]
treasury	0.8	1.07703	[2, 3, 0, 0, 0, 0, 0, 1, 2, 0]
treat	1.7	0.78102	[2, 2, 2, 0, 2, 1, 3, 2, 1, 2]
tremble	-1.1	1.3	[-2, 0, -1, -2, -2, -2, 2, 0, -2, -2]
trembled	-1.1	1.22066	[-1, 1, -1, -2, -2, -1, -3, -2, 1, -1]
trembler	-0.6	1.28062	[-2, -2, -1, 0, -1, 2, 1, -2, -1, 0]
tremblers	-1.0	0.63246	[-2, 0, -1, -1, 0, -2, -1, -1, -1, -1]
trembles	-0.1	1.51327	[-1, -2, -1, 0, -1, 2, 2, -2, 2, 0]
trembling	-1.5	0.92195	[-3, 0, -1, -3, -1, -1, -1, -2, -1, -2]
trembly	-1.2	0.87178	[-2, 0, -1, -2, -2, -1, 0, 0, -2, -2]
tremulous	-1.0	1.09545	[-1, -2, -1, -1, -1, -1, 2, -2, -2, -1]
trick	-0.2	1.32665	[-1, 1, -2, -2, -1, 2, 0, 1, 1, -1]
tricked	-0.6	0.91652	[-1, -1, -1, -1, 2, 0, -1, -1, -1, -1]
tricker	-0.9	0.83066	[-2, 0, -1, -1, 1, -2, -1, -1, -1, -1]
trickeries	-1.2	1.46969	[-2, -2, -1, -2, -1, 2, 1, -2, -3, -2]
trickers	-1.4	0.66332	[-1, -3, -1, -2, -2, -1, -1, -1, -1, -1]
trickery	-1.1	1.51327	[1, -1, -1, -2, -3, -2, -3, 2, -1, -1]
trickie	-0.4	1.0198	[1, -1, 0, -1, -1, 1, -2, -1, 1, -1]
trickier	-0.7	0.78102	[-1, -1, -1, 0, 1, -1, -1, -1, 0, -2]
trickiest	-1.2	0.6	[-2, -2, 0, -1, -2, -1, -1, -1, -1, -1]
trickily	-0.8	0.74833	[0, 1, -1, -1, -1, -1, -1, -1, -2, -1]
trickiness	-1.2	0.9798	[-2, -1, -1, -2, -1, -2, 1, 0, -2, -2]
trickinesses	-0.4	1.0198	[0, 2, 0, -2, -1, -1, 0, 0, -1, -1]
tricking	0.1	1.37477	[0, -2, 2, -1, 2, -2, 0, 1, 1, 0]
trickish	-1.0	0.44721	[-1, -2, 0, -1, -1, -1, -1, -1, -1, -1]
trickishly	-0.7	1.55242	[-3, -2, -1, 2, -1, 2, -2, -1, 0, -1]
trickishness	-0.4	1.28062	[-1, 1, -2, -1, -1, -1, 0, -2, 1, 2]
trickled	0.1	0.3	[0, 0, 0, 0, 0, 0, 0, 0, 1, 0]
trickledown	-0.7	0.64031	[0, -1, 0, -1, -2, 0, 0, -1, -1, -1]
trickles	0.2	0.4	[0, 0, 0, 1, 0, 0, 0, 0, 1, 0]
trickling	-0.2	0.9798	[0, 0, -1, -2, -1, 2, 0, 0, 0, 0]
trickly	-0.3	0.45826	[0, 0, -1, 0, 0, 0, 0, -1, 0, -1]
tricks	-0.5	0.67082	[0, 0, -1, -1, 1, -1, -1, 0, -1, -1]
tricksier	-0.5	0.67082	[-1, -1, 1, 0, -1, 0, 0, -1, -1, -1]
tricksiness	-1.0	0.89443	[0, 0, -1, -1, -1, 0, -1, -2, -3, -1]
trickster	-0.9	0.83066	[-1, -2, 0, -1, -2, -1, -1, 1, -1, -1]
tricksters	-1.3	0.9	[-1, -2, -1, -2, 1, -2, -2, -1, -1, -2]
tricksy	-0.8	0.9798	[-1, -1, -2, -1, 2, -1, -1, -1, -1, -1]
tricky	-0.6	0.66332	[0, 0, -1, -1, 1, -1, -1, -1, -1, -1]
trite	-0.8	0.4	[-1, -1, 0, 0, -1, -1, -1, -1, -1, -1]
triumph	2.1	1.04403	[2, 4, 3, 3, 1, 3, 1, 2, 1, 1]
triumphal	2.0	0.63246	[2, 3, 3, 2, 1, 2, 1, 2, 2, 2]
triumphalisms	1.9	0.9434	[2, 1, 2, 2, 2, 0, 2, 2, 4, 2]
triumphalist	0.5	1.20416	[1, 1, 2, 2, -1, -2, 0, 1, 0, 1]
triumphalists	0.9	1.64012	[1, -1, 0, 0, 1, 3, -2, 3, 1, 3]
triumphant	2.4	0.91652	[2, 3, 3, 3, 4, 1, 2, 1, 3, 2]
triumphantly	2.3	1.00499	[3, 3, 3, 3, 1, 0, 3, 2, 2, 3]
triumphed	2.2	1.4	[2, 3, 3, 3, 4, 3, 1, 1, -1, 3]
triumphing	2.3	0.64031	[2, 2, 3, 2, 2, 3, 2, 3, 1, 3]
triumphs	2.0	1.41421	[3, 2, 3, 3, 3, 1, -1, 1, 1, 4]
trivial	-0.1	0.83066	[0, -1, -1, 0, 1, 0, 1, -1, 1, -1]
trivialise	-0.8	1.16619	[-3, -1, -2, 0, 1, -1, -1, 1, -1, -1]
trivialised	-0.8	1.6	[-2, 0, -2, 1, -1, 0, 1, 1, -4, -2]
trivialises	-1.1	0.53852	[-1, -1, -1, 0, -1, -1, -1, -2, -2, -1]
trivialising	-1.4	0.66332	[-2, -1, -2, -1, 0, -1, -2, -1, -2, -2]
trivialities	-1.0	0.63246	[-2, -2, -1, -1, -1, 0, 0, -1, -1, -1]
triviality	-0.5	1.11803	[-1, -1, -2, 0, -1, -1, 2, -1, 1, -1]
trivialization	-0.9	1.04403	[-1, 2, -1, -1, -2, -2, -1, -1, -1, -1]
trivializations	-0.7	1.18743	[-2, -1, -1, -2, 1, -1, -1, -1, 2, -1]
trivialize	-1.1	0.53852	[0, -2, -2, -1, -1, -1, -1, -1, -1, -1]
trivialized	-0.6	0.8	[-1, -1, 0, 0, -1, -1, 1, -1, 0, -2]
trivializes	-1.0	0.7746	[-1, -1, -1, 0, -1, 0, -1, -1, -1, -3]
trivializing	-0.6	1.95959	[-1, -1, -2, -1, -1, 2, -2, -4, 1, 3]
trivially	0.4	1.56205	[-1, -1, -1, -1, 0, 3, 0, 2, 3, 0]
trivium	-0.3	0.64031	[0, 0, -2, 0, 0, 0, 0, -1, 0, 0]
trouble	-1.7	0.64031	[-2, -2, -1, -1, -3, -2, -1, -2, -1, -2]
troubled	-2.0	0.44721	[-2, -2, -2, -1, -2, -3, -2, -2, -2, -2]
troublemaker	-2.0	0.63246	[-3, -2, -3, -2, -2, -1, -1, -2, -2, -2]
troublemakers	-2.2	0.74833	[-3, -3, -3, -1, -3, -1, -2, -2, -2, -2]
troublemaking	-1.8	0.6	[-2, -1, -1, -2, -2, -2, -3, -2, -1, -2]
troubler	-1.4	0.4899	[-1, -1, -2, -1, -1, -1, -2, -2, -2, -1]
troublers	-1.9	0.3	[-2, -2, -2, -2, -1, -2, -2, -2, -2, -2]
troubles	-2.0	0.44721	[-2, -2, -2, -1, -2, -3, -2, -2, -2, -2]
troubleshoot	0.8	0.9798	[0, 0, 0, 2, 2, 2, 2, 0, 0, 0]
troubleshooter	1.0	0.89443	[0, 0, 0, 1, 2, 2, 0, 1, 2, 2]
troubleshooters	0.8	0.87178	[0, 0, 1, 2, 0, 1, 0, 2, 2, 0]
troubleshooting	0.7	1.34536	[0, 2, 1, 1, -1, 2, 0, 2, -2, 2]
troubleshoots	0.5	0.92195	[1, -1, 0, 0, 0, 0, 1, 0, 2, 2]
troublesome	-2.3	0.78102	[-3, -2, -3, -2, -3, -3, -1, -2, -1, -3]
troublesomely	-1.8	0.6	[-3, -1, -2, -2, -1, -2, -2, -2, -2, -1]
troublesomeness	-1.9	0.7	[-2, -1, -2, -3, -2, -3, -1, -2, -1, -2]
troubling	-2.5	0.67082	[-3, -3, -3, -3, -1, -2, -3, -2, -3, -2]
troublous	-2.1	0.53852	[-2, -2, -2, -2, -2, -3, -2, -3, -1, -2]
troublously	-2.1	1.22066	[-2, -3, -3, -3, -2, -1, 1, -2, -3, -3]
trueness	2.1	0.9434	[2, 1, 1, 3, 3, 4, 2, 1, 2, 2]
truer	1.5	0.67082	[1, 2, 1, 2, 1, 1, 2, 1, 3, 1]
truest	1.9	0.83066	[2, 2, 2, 3, 3, 0, 2, 1, 2, 2]
truly	1.9	0.9434	[4, 3, 1, 2, 2, 1, 1, 1, 2, 2]
trust	2.3	1.26886	[0, 4, 3, 3, 4, 1, 2, 2, 1, 3]
trustability	2.1	0.7	[1, 3, 3, 2, 2, 2, 1, 3, 2, 2]
trustable	2.3	0.45826	[2, 2, 3, 2, 2, 3, 3, 2, 2, 2]
trustbuster	-0.5	1.28452	[-3, -1, 0, 0, 0, 0, -2, 0, 2, -1]
trusted	2.1	0.9434	[3, 2, 2, 1, 4, 1, 2, 2, 3, 1]
trustee	1.0	0.89443	[2, 2, 0, 1, 1, 0, 2, 0, 2, 0]
trustees	0.3	0.64031	[0, 1, 0, 0, 2, 0, 0, 0, 0, 0]
trusteeship	0.5	0.67082	[0, 1, 1, 0, 0, 1, 0, 0, 2, 0]
trusteeships	0.6	1.0198	[3, 0, 0, 0, 0, 0, 0, 2, 1, 0]
truster	1.9	1.3	[2, 2, 1, 1, 4, 0, 3, 1, 4, 1]
trustful	2.1	0.9434	[1, 2, 2, 1, 2, 2, 1, 3, 3, 4]
trustfully	1.5	0.67082	[2, 1, 2, 1, 1, 3, 1, 2, 1, 1]
trustfulness	2.1	0.83066	[3, 2, 3, 2, 3, 2, 2, 2, 0, 2]
trustier	1.3	1.1	[1, 1, 1, 2, 0, 0, 3, 0, 3, 2]
trusties	1.0	0.7746	[1, 1, 0, 2, 1, 0, 2, 0, 1, 2]
trustiest	2.2	0.87178	[3, 2, 2, 3, 2, 2, 4, 1, 1, 2]
trustily	1.6	0.91652	[2, 0, 3, 1, 2, 1, 1, 1, 2, 3]
trustiness	1.6	0.91652	[2, 3, 0, 1, 2, 2, 2, 2, 0, 2]
trusting	1.7	1.00499	[3, 0, 1, 2, 3, 0, 2, 2, 2, 2]
trustingly	1.6	0.91652	[3, 1, 2, 3, 2, 2, 0, 1, 1, 1]
trustingness	1.6	1.2	[1, 2, 1, 3, 2, 1, 4, 2, 0, 0]
trustless	-2.3	0.78102	[-2, -4, -3, -2, -2, -3, -2, -2, -1, -2]
trustor	0.4	0.66332	[2, 0, 0, 1, 0, 0, 0, 1, 0, 0]
trustors	1.2	0.87178	[0, 0, 2, 1, 1, 2, 2, 2, 0, 2]
trusts	2.1	0.53852	[2, 2, 2, 2, 1, 2, 2, 3, 2, 3]
trustworthily	2.3	0.9	[3, 1, 2, 2, 2, 1, 3, 4, 3, 2]
trustworthiness	1.8	0.74833	[2, 1, 3, 1, 2, 2, 1, 2, 3, 1]
trustworthy	2.6	0.91652	[3, 2, 3, 4, 2, 4, 2, 3, 1, 2]
trusty	2.2	0.74833	[3, 2, 3, 1, 2, 2, 3, 2, 1, 3]
truth	1.3	1.00499	[2, 1, 0, 1, 1, 0, 3, 3, 1, 1]
truthful	2.0	0.63246	[2, 2, 1, 3, 3, 2, 1, 2, 2, 2]
truthfully	1.9	1.04403	[3, 1, 3, 0, 2, 1, 3, 2, 1, 3]
truthfulness	1.7	1.1	[3, 2, 2, 2, 1, -1, 3, 2, 2, 1]
truths	1.8	0.87178	[0, 1, 1, 3, 2, 2, 3, 2, 2, 2]
tumor	-1.6	1.49666	[-3, -2, -2, -1, -2, 1, -4, 1, -2, -2]
turmoil	-1.5	0.92195	[-1, -1, -3, -3, -2, -2, -1, -1, 0, -1]
twat	-3.4	0.91652	[-3, -4, -4, -4, -3, -1, -4, -4, -3, -4]
ugh	-1.8	0.9798	[-1, -1, -1, -1, -1, -2, -4, -2, -3, -2]
uglier	-2.2	0.87178	[-2, -2, -1, -3, -4, -1, -3, -2, -2, -2]
uglies	-2.0	0.89443	[-2, -2, -1, -3, -4, -1, -2, -2, -1, -2]
ugliest	-2.8	0.74833	[-3, -3, -4, -3, -3, -3, -3, -3, -1, -2]
uglification	-2.2	0.87178	[-3, -1, -2, -2, -1, -2, -4, -3, -2, -2]
uglified	-1.5	0.67082	[-1, -1, -3, -2, -2, -1, -1, -1, -2, -1]
uglifies	-1.8	0.74833	[-1, -1, -3, -2, -3, -1, -2, -2, -2, -1]
uglify	-2.1	0.9434	[-3, -3, -1, -4, -2, -2, -1, -2, -1, -2]
uglifying	-2.2	0.4	[-3, -2, -2, -2, -2, -2, -2, -2, -3, -2]
uglily	-2.1	0.3	[-3, -2, -2, -2, -2, -2, -2, -2, -2, -2]
ugliness	-2.7	0.9	[-4, -2, -3, -2, -4, -2, -4, -2, -2, -2]
uglinesses	-2.5	1.0247	[-3, -3, -2, -1, -1, -3, -2, -2, -4, -4]
ugly	-2.3	0.9	[-3, -2, -1, -2, -4, -1, -3, -2, -2, -3]
unacceptable	-2.0	0.44721	[-2, -2, -1, -2, -2, -2, -2, -3, -2, -2]
unappreciated	-1.7	0.78102	[-1, -3, -2, -1, -1, -1, -2, -1, -2, -3]
unapproved	-1.4	0.4899	[-1, -1, -1, -2, -2, -1, -2, -2, -1, -1]
unattractive	-1.9	0.53852	[-1, -2, -3, -2, -1, -2, -2, -2, -2, -2]
unaware	-0.8	0.4	[-1, -1, -1, 0, -1, -1, 0, -1, -1, -1]
unbelievable	0.8	1.6	[0, 0, 1, -2, 1, 3, 1, 0, 4, 0]
unbelieving	-0.8	0.4	[0, -1, -1, -1, -1, -1, -1, 0, -1, -1]
unbiased	-0.1	1.22066	[-2, -1, 2, 1, 0, -1, -1, 1, 1, -1]
uncertain	-1.2	0.6	[-2, -1, -2, -1, -1, -1, 0, -1, -2, -1]
uncertainly	-1.4	0.4899	[-2, -1, -1, -1, -2, -1, -1, -2, -2, -1]
uncertainness	-1.3	0.45826	[-2, -2, -1, -1, -1, -1, -1, -2, -1, -1]
uncertainties	-1.4	0.66332	[-3, -2, -1, -1, -1, -1, -1, -2, -1, -1]
uncertainty	-1.4	0.4899	[-1, -1, -2, -1, -2, -1, -2, -1, -2, -1]
unclear	-1.0	0.44721	[-2, -1, 0, -1, -1, -1, -1, -1, -1, -1]
uncomfortable	-1.6	0.4899	[-2, -1, -2, -1, -1, -2, -2, -1, -2, -2]
uncomfortably	-1.7	0.64031	[-2, -1, -3, -1, -1, -2, -2, -1, -2, -2]
uncompelling	-0.9	0.7	[0, -2, -1, 0, -1, -1, -1, 0, -1, -2]
unconcerned	-0.9	0.83066	[-2, -2, -1, 1, -1, -1, -1, 0, -1, -1]
unconfirmed	-0.5	0.67082	[0, -1, 0, -1, 0, -1, 0, 0, -2, 0]
uncontrollability	-1.7	0.45826	[-1, -1, -2, -2, -2, -2, -1, -2, -2, -2]
uncontrollable	-1.5	1.11803	[-2, -1, -1, -2, -1, -1, 1, -2, -3, -3]
uncontrollably	-1.5	0.67082	[-2, -1, 0, -2, -1, -1, -2, -2, -2, -2]
uncontrolled	-1.0	0.7746	[-1, 0, -1, -2, -1, 0, -1, -2, -2, 0]
unconvinced	-1.6	0.8	[-2, -3, -1, -2, -1, 0, -2, -2, -1, -2]
uncredited	-1.0	1.09545	[-1, -2, -2, 2, -1, -2, -1, -1, -1, -1]
undecided	-0.9	0.9434	[-1, 0, -1, 0, -1, -1, -2, 0, -3, 0]
underestimate	-1.2	0.4	[-1, -2, -1, -1, -1, -1, -1, -1, -2, -1]
underestimated	-1.1	0.53852	[-1, -1, -1, -2, 0, -1, -2, -1, -1, -1]
underestimates	-1.1	1.64012	[-2, -4, -1, -1, -1, -1, 3, -1, -2, -1]
undermine	-1.2	1.16619	[-2, -2, -1, -1, -1, -1, 2, -2, -2, -2]
undermined	-1.5	0.67082	[-1, -2, -1, -3, -1, -1, -1, -2, -2, -1]
undermines	-1.4	0.4899	[-1, -2, -1, -2, -1, -1, -1, -2, -2, -1]
undermining	-1.5	0.67082	[-1, -3, -1, -2, -2, -1, -1, -1, -2, -1]
undeserving	-1.9	0.3	[-2, -2, -1, -2, -2, -2, -2, -2, -2, -2]
undesirable	-1.9	0.7	[-1, -2, -3, -1, -3, -2, -1, -2, -2, -2]
unease	-1.7	0.64031	[-2, -2, -2, -1, -1, -2, -1, -3, -1, -2]
uneasier	-1.4	0.4899	[-1, -1, -1, -2, -2, -1, -2, -2, -1, -1]
uneasiest	-2.1	0.83066	[-1, -4, -3, -2, -2, -2, -2, -2, -1, -2]
uneasily	-1.4	1.0198	[-2, -2, -1, -1, -2, 1, -3, -1, -2, -1]
uneasiness	-1.6	0.4899	[-2, -2, -1, -2, -1, -1, -2, -2, -1, -2]
uneasinesses	-1.8	0.87178	[-2, -1, -4, -1, -1, -2, -2, -2, -1, -2]
uneasy	-1.6	0.4899	[-1, -2, -2, -1, -1, -2, -2, -1, -2, -2]
unemployment	-1.9	0.7	[-2, -1, -2, -3, -1, -2, -1, -2, -2, -3]
unequal	-1.4	0.66332	[-1, -2, -2, -2, -1, -1, -2, 0, -2, -1]
unequaled	0.5	1.80278	[-2, 3, 0, 3, 3, 0, 0, 0, -2, 0]
unethical	-2.3	0.78102	[-3, -3, -1, -2, -2, -2, -3, -1, -3, -3]
unfair	-2.1	0.83066	[-1, -3, -3, -2, -3, -1, -2, -3, -1, -2]
unfocused	-1.7	0.64031	[-2, -1, -2, -1, -1, -2, -3, -2, -1, -2]
unfortunate	-2.0	0.63246	[-2, -2, -2, -3, -3, -1, -2, -1, -2, -2]
unfortunately	-1.4	0.91652	[-2, -1, -2, -2, 1, -2, -1, -1, -2, -2]
unfortunates	-1.9	0.7	[-2, -3, -1, -1, -2, -2, -2, -1, -3, -2]
unfriendly	-1.5	0.5	[-1, -2, -1, -2, -1, -2, -2, -2, -1, -1]
unfulfilled	-1.8	0.4	[-2, -2, -2, -2, -1, -2, -2, -1, -2, -2]
ungrateful	-2.0	0.0	[-2, -2, -2, -2, -2, -2, -2, -2, -2, -2]
ungratefully	-1.8	0.6	[-2, -2, -1, -2, -2, -1, -3, -1, -2, -2]
ungratefulness	-1.6	0.4899	[-2, -2, -2, -2, -1, -1, -1, -2, -2, -1]
unhappier	-2.4	0.8	[-2, -2, -1, -4, -3, -3, -2, -2, -2, -3]
unhappiest	-2.5	0.80623	[-3, -4, -3, -2, -1, -3, -2, -2, -2, -3]
unhappily	-1.9	0.53852	[-2, -1, -2, -2, -3, -2, -1, -2, -2, -2]
unhappiness	-2.4	0.66332	[-3, -2, -2, -3, -2, -2, -3, -1, -3, -3]
unhappinesses	-2.2	0.87178	[-3, -4, -2, -2, -2, -2, -1, -2, -1, -3]
unhappy	-1.8	0.6	[-2, -2, -1, -3, -2, -2, -2, -1, -2, -1]
unhealthy	-2.4	0.66332	[-1, -2, -3, -3, -2, -3, -3, -2, -2, -3]
unified	1.6	0.66332	[1, 2, 2, 1, 2, 1, 2, 1, 3, 1]
unimportant	-1.3	0.45826	[-1, -1, -2, -1, -1, -2, -1, -1, -2, -1]
unimpressed	-1.4	0.66332	[-1, -1, -1, -2, -1, -2, -1, -1, -3, -1]
unimpressive	-1.4	0.4899	[-1, -2, -2, -1, -1, -2, -2, -1, -1, -1]
unintelligent	-2.0	1.18322	[-1, -2, -3, -1, -1, -4, -1, -1, -4, -2]
uninvolved	-2.2	0.9798	[-2, -1, -3, -2, -1, -3, -1, -2, -4, -3]
uninvolving	-2.0	1.18322	[-4, -1, -3, -2, -1, -4, -1, -1, -2, -1]
united	1.8	0.6	[1, 2, 2, 2, 1, 2, 2, 1, 2, 3]
unjust	-2.3	0.45826	[-3, -3, -2, -2, -2, -2, -3, -2, -2, -2]
unkind	-1.6	0.66332	[-2, -2, -1, -1, -1, -2, -3, -1, -1, -2]
unlovable	-2.7	0.9	[-4, -2, -1, -3, -3, -3, -4, -2, -3, -2]
unloved	-1.9	0.53852	[-1, -2, -2, -1, -2, -2, -3, -2, -2, -2]
unlovelier	-1.9	0.7	[-2, -2, -1, -3, -1, -2, -1, -3, -2, -2]
unloveliest	-1.9	0.83066	[-2, -4, -2, -2, -1, -1, -1, -2, -2, -2]
unloveliness	-2.0	0.89443	[-2, -3, -1, -1, -3, -1, -3, -2, -3, -1]
unlovely	-2.1	0.53852	[-2, -3, -2, -3, -1, -2, -2, -2, -2, -2]
unloving	-2.3	0.45826	[-2, -3, -2, -3, -2, -2, -2, -3, -2, -2]
unmatched	-0.3	2.0025	[0, -1, 2, 3, 0, -1, -3, 0, -4, 1]
unmotivated	-1.4	0.4899	[-2, -2, -1, -1, -1, -2, -2, -1, -1, -1]
unpleasant	-2.1	0.53852	[-2, -2, -3, -3, -2, -2, -2, -2, -1, -2]
unprofessional	-2.3	0.78102	[-2, -1, -3, -3, -2, -1, -3, -2, -3, -3]
unprotected	-1.5	0.67082	[-2, -2, -1, -1, -3, -1, -1, -2, -1, -1]
unresearched	-1.1	0.7	[-2, -1, -1, -1, -1, -2, -2, 0, 0, -1]
unsatisfied	-1.7	0.64031	[-2, -1, -2, -1, -1, -2, -3, -1, -2, -2]
unsavory	-1.9	0.53852	[-2, -1, -2, -2, -2, -3, -1, -2, -2, -2]
unsecured	-1.6	0.4899	[-1, -2, -2, -1, -1, -2, -1, -2, -2, -2]
unsettled	-1.3	0.45826	[-1, -1, -1, -2, -2, -1, -2, -1, -1, -1]
unsophisticated	-1.2	0.87178	[-1, -1, -1, -2, -2, -2, -1, -2, 1, -1]
unstable	-1.5	0.5	[-2, -2, -1, -2, -1, -1, -1, -2, -2, -1]
unstoppable	-0.8	1.77764	[0, -4, 2, 0, 1, -2, -2, 0, -3, 0]
unsuccessful	-1.5	0.5	[-2, -1, -1, -2, -2, -1, -1, -1, -2, -2]
unsuccessfully	-1.7	0.78102	[-2, -2, -1, -1, -1, -2, -3, -3, -1, -1]
unsupported	-1.7	0.78102	[-2, 0, -3, -2, -2, -1, -2, -2, -1, -2]
unsure	-1.0	0.44721	[-1, -1, -1, -1, 0, -2, -1, -1, -1, -1]
unsurely	-1.3	0.78102	[-1, 0, -1, -1, -1, -3, -1, -2, -2, -1]
untarnished	1.6	1.35647	[3, 2, 2, 1, 1, 2, -2, 3, 2, 2]
unwanted	-0.9	1.3	[-1, -2, -2, -1, -2, 1, 2, -1, -2, -1]
unwelcome	-1.7	0.45826	[-2, -2, -2, -1, -1, -2, -2, -1, -2, -2]
unworthy	-2.0	0.44721	[-3, -2, -2, -2, -2, -2, -1, -2, -2, -2]
upset	-1.6	0.4899	[-1, -1, -2, -2, -1, -1, -2, -2, -2, -2]
upsets	-1.5	0.67082	[-2, -3, -1, -1, -1, -1, -2, -2, -1, -1]
upsetter	-1.9	0.7	[-2, -2, -1, -1, -3, -2, -3, -1, -2, -2]
upsetters	-2.0	0.63246	[-3, -3, -1, -2, -2, -2, -2, -2, -1, -2]
upsetting	-2.1	0.53852	[-2, -3, -2, -3, -2, -1, -2, -2, -2, -2]
uptight	-1.6	0.4899	[-2, -1, -2, -1, -1, -2, -2, -1, -2, -2]
uptightness	-1.2	0.4	[-1, -2, -1, -2, -1, -1, -1, -1, -1, -1]
urgent	0.8	1.16619	[3, -1, 0, 1, 1, 0, 0, 0, 2, 2]
useful	1.9	0.83066	[2, 1, 1, 2, 2, 4, 2, 1, 2, 2]
usefully	1.8	0.6	[2, 2, 1, 3, 1, 2, 1, 2, 2, 2]
usefulness	1.2	1.32665	[3, 1, 3, -1, 2, 2, 1, 1, -1, 1]
useless	-1.8	0.4	[-2, -1, -2, -2, -1, -2, -2, -2, -2, -2]
uselessly	-1.5	0.67082	[-2, -3, -1, -1, -1, -1, -2, -2, -1, -1]
uselessness	-1.6	0.8	[-3, -2, -2, -2, -1, -2, 0, -1, -1, -2]
v.v	-2.9	0.9434	[-3, -3, -4, -3, -1, -3, -4, -2, -4, -2]
vague	-0.4	0.8	[0, -1, -1, -1, 0, -1, 1, -1, 1, -1]
vain	-1.8	0.6	[-2, -1, -2, -3, -2, -1, -1, -2, -2, -2]
validate	1.5	0.92195	[1, 2, 1, 1, 1, 3, 1, 3, 0, 2]
validated	0.9	0.83066	[2, 1, 0, 1, 1, 0, 2, 0, 0, 2]
validates	1.4	0.66332	[1, 1, 1, 2, 3, 1, 2, 1, 1, 1]
validating	1.4	0.8	[2, 2, 1, 3, 0, 2, 1, 1, 1, 1]
valuable	2.1	0.83066	[3, 2, 4, 2, 2, 2, 2, 1, 1, 2]
valuableness	1.7	0.78102	[2, 2, 1, 3, 3, 2, 1, 1, 1, 1]
valuables	2.1	0.83066	[4, 1, 2, 2, 3, 2, 1, 2, 2, 2]
valuably	2.3	1.00499	[3, 4, 4, 1, 2, 2, 2, 2, 1, 2]
value	1.4	1.11355	[2, 3, 0, 1, 1, 3, 0, 2, 0, 2]
valued	1.9	0.7	[3, 1, 2, 1, 2, 2, 2, 3, 2, 1]
values	1.7	1.18743	[2, 2, 2, 4, 0, 1, 0, 1, 3, 2]
valuing	1.4	0.91652	[1, 0, 3, 2, 2, 2, 2, 0, 1, 1]
vanity	-0.9	1.7	[-2, -3, -3, 0, -2, -1, 2, 2, -1, -1]
verdict	0.6	0.91652	[0, 0, 0, 0, 0, 0, 0, 2, 2, 2]
verdicts	0.3	1.1	[0, 0, 0, 0, 2, 2, 0, -2, 1, 0]
vested	0.6	1.28062	[2, -2, 1, 3, 1, 0, 0, 1, 0, 0]
vexation	-1.9	1.04403	[0, -2, -3, -3, -2, -2, -2, -3, 0, -2]
vexing	-2.0	0.44721	[-2, -2, -2, -1, -2, -2, -2, -3, -2, -2]
vibrant	2.4	0.8	[2, 3, 1, 1, 3, 3, 3, 2, 3, 3]
vicious	-1.5	1.5	[1, -2, -3, -1, -1, -3, 1, -3, -1, -3]
viciously	-1.3	1.26886	[-2, -3, -1, -2, -2, -1, -1, 2, -1, -2]
viciousness	-2.4	1.35647	[-3, -1, -4, -2, -3, -3, 1, -3, -3, -3]
viciousnesses	-0.6	1.62481	[0, -1, -1, -3, 0, -3, 2, 1, 1, -2]
victim	-1.1	1.92094	[-1, -2, 2, -3, -3, -2, -3, 1, 2, -2]
victimhood	-2.0	0.44721	[-2, -2, -2, -2, -2, -1, -3, -2, -2, -2]
victimhoods	-0.9	1.37477	[-1, 0, -1, 1, -2, -1, -4, 1, -1, -1]
victimise	-1.1	1.92094	[-3, -3, -2, -2, -1, 2, -2, 1, -3, 2]
victimised	-1.5	1.56525	[-2, -2, -2, 1, -3, 2, -2, -3, -2, -2]
victimises	-1.2	2.31517	[-3, -3, -4, 2, -2, -2, 1, 2, 1, -4]
victimising	-2.5	0.67082	[-3, -1, -3, -2, -2, -3, -3, -2, -3, -3]
victimization	-2.3	0.78102	[-1, -3, -3, -2, -3, -1, -3, -2, -3, -2]
victimizations	-1.5	1.85742	[-2, -3, -3, -1, -2, 2, 2, -2, -3, -3]
victimize	-2.5	0.67082	[-3, -2, -4, -2, -2, -2, -2, -3, -3, -2]
victimized	-1.8	1.53623	[-2, -1, -3, -3, -3, 1, 1, -2, -3, -3]
victimizer	-1.8	1.72047	[-3, -2, -3, -3, -2, 2, 1, -2, -3, -3]
victimizers	-1.6	1.68523	[-3, -2, -3, 1, -3, -1, -2, 2, -2, -3]
victimizes	-1.5	1.9105	[-2, -1, -4, -3, -2, 2, 2, -2, -3, -2]
victimizing	-2.6	0.4899	[-2, -3, -3, -3, -2, -3, -2, -3, -2, -3]
victimless	0.6	0.4899	[0, 1, 0, 1, 1, 0, 0, 1, 1, 1]
victimologies	-0.6	1.35647	[-2, 0, -2, -1, 0, 2, 1, 0, -2, -2]
victimologist	-0.5	0.67082	[0, -1, -1, 0, 0, 0, 0, -1, -2, 0]
victimologists	-0.4	0.91652	[0, 1, 0, -2, -2, 0, 0, 0, -1, 0]
victimology	0.3	1.00499	[0, 0, 0, -1, 0, 1, 0, 0, 3, 0]
victims	-1.3	2.05183	[-3, -1, -3, -3, -3, 2, 1, -2, 2, -3]
vigilant	0.7	0.9	[0, 2, 0, 2, 0, -1, 1, 1, 1, 1]
vigor	1.1	1.37477	[0, 3, 2, 1, 2, 2, 0, 1, -2, 2]
vigorish	-0.4	1.2	[0, -3, -1, -1, 0, -1, 0, 0, 2, 0]
vigorishes	0.4	1.56205	[0, 0, 2, 1, 2, 0, -2, -2, 0, 3]
vigoroso	1.5	0.67082	[2, 0, 1, 2, 2, 1, 2, 1, 2, 2]
vigorously	0.5	0.92195	[0, 0, 0, 1, 2, 0, 2, -1, 1, 0]
vigorousness	0.4	1.11355	[0, 3, 0, -1, -1, 0, 0, 1, 1, 1]
vigors	1.0	1.0	[0, 1, 0, 1, 0, 0, 1, 3, 2, 2]
vigour	0.9	0.9434	[0, 2, 2, 2, 1, 1, 0, 1, -1, 1]
vigours	0.4	1.68523	[-4, 1, 1, 1, -1, 1, 2, 2, 0, 1]
vile	-3.1	0.83066	[-4, -2, -4, -4, -2, -3, -3, -3, -2, -4]
villain	-2.6	0.4899	[-3, -2, -2, -3, -2, -2, -3, -3, -3, -3]
villainess	-2.9	0.53852	[-3, -2, -3, -4, -3, -2, -3, -3, -3, -3]
villainesses	-2.0	1.18322	[-2, -3, -2, -2, -2, -3, 1, -3, -1, -3]
villainies	-2.3	1.00499	[-3, -2, -3, -3, -3, -1, -3, -2, -3, 0]
villainous	-2.0	0.63246	[-3, -2, -1, -2, -2, -2, -2, -1, -2, -3]
villainously	-2.9	0.53852	[-3, -3, -3, -3, -3, -4, -2, -3, -2, -3]
villainousness	-2.7	0.9	[-4, -3, -4, -3, -1, -3, -2, -2, -2, -3]
villains	-3.4	0.91652	[-4, -3, -4, -3, -4, -3, -4, -4, -1, -4]
villainy	-2.6	0.4899	[-3, -2, -3, -3, -2, -2, -2, -3, -3, -3]
vindicate	0.3	1.95192	[2, -1, -2, -3, -1, 3, 0, 3, 1, 1]
vindicated	1.8	1.16619	[1, 3, -1, 2, 2, 1, 3, 2, 2, 3]
vindicates	1.6	0.66332	[2, 3, 2, 2, 2, 1, 1, 1, 1, 1]
vindicating	-1.1	1.97231	[-3, -2, 2, -3, -2, 1, 1, 1, -3, -3]
violate	-2.2	0.6	[-3, -3, -2, -3, -2, -2, -1, -2, -2, -2]
violated	-2.4	0.66332	[-3, -3, -3, -3, -2, -3, -1, -2, -2, -2]
violater	-2.6	0.91652	[-3, -3, -4, -4, -2, -3, -2, -2, -2, -1]
violaters	-2.4	0.8	[-1, -3, -1, -2, -3, -3, -3, -2, -3, -3]
violates	-2.3	0.9	[-3, -2, -4, -3, -2, -3, -2, -2, -1, -1]
violating	-2.5	0.92195	[-2, -3, -3, -1, -3, -2, -4, -1, -3, -3]
violation	-2.2	0.9798	[-3, -1, -1, -3, -3, -2, -1, -2, -2, -4]
violations	-2.4	0.66332	[-2, -2, -2, -3, -2, -4, -2, -2, -2, -3]
violative	-2.4	0.66332	[-2, -3, -3, -3, -1, -3, -2, -2, -2, -3]
violator	-2.4	1.0198	[-1, -4, -3, -2, -3, -2, -2, -1, -4, -2]
violators	-1.9	1.51327	[-2, 2, -3, -4, -1, -2, -3, -2, -2, -2]
violence	-3.1	0.53852	[-2, -3, -3, -3, -3, -4, -4, -3, -3, -3]
violent	-2.9	0.53852	[-3, -3, -3, -3, -3, -4, -3, -2, -2, -3]
violently	-2.8	0.74833	[-3, -3, -2, -3, -3, -3, -4, -1, -3, -3]
virtue	1.8	0.74833	[1, 2, 3, 2, 2, 2, 3, 1, 1, 1]
virtueless	-1.4	1.0198	[-2, 0, -2, -3, -1, -3, -1, -1, -1, 0]
virtues	1.5	0.80623	[2, 2, 2, 1, 0, 1, 3, 1, 2, 1]
virtuosa	1.7	1.48661	[0, 4, 2, 3, 2, 3, 0, 2, -1, 2]
virtuosas	1.8	0.87178	[2, 3, 1, 2, 1, 0, 3, 2, 2, 2]
virtuose	1.0	1.41421	[2, 1, 0, 2, 1, -1, 1, 1, -1, 4]
virtuosi	0.9	1.37477	[2, 0, 0, 2, 1, 0, 0, 1, -1, 4]
virtuosic	2.2	1.07703	[2, 2, 4, 1, 0, 3, 3, 2, 2, 3]
virtuosity	2.1	0.83066	[3, 3, 3, 2, 1, 3, 2, 2, 1, 1]
virtuoso	2.0	1.0	[2, 2, 3, 2, 1, 0, 3, 3, 3, 1]
virtuosos	1.8	1.16619	[2, 3, 1, -1, 2, 1, 3, 3, 2, 2]
virtuous	2.4	1.2	[0, 3, 2, 1, 3, 4, 2, 2, 4, 3]
virtuously	1.8	1.16619	[3, 2, 3, 1, 3, 1, -1, 2, 2, 2]
virtuousness	2.0	1.09545	[3, 4, 2, 2, 0, 1, 2, 3, 2, 1]
virulent	-2.7	0.64031	[-3, -2, -4, -2, -3, -3, -2, -3, -2, -3]
vision	1.0	1.0	[0, 0, 0, 2, 1, 3, 2, 1, 1, 0]
visionary	2.4	1.0198	[1, 3, 1, 2, 4, 1, 3, 3, 3, 3]
visioning	1.1	0.9434	[1, 2, 0, 0, 3, 0, 1, 1, 2, 1]
visions	0.9	0.9434	[2, 0, 0, 0, 0, 1, 2, 2, 0, 2]
vital	1.2	1.46969	[-3, 2, 1, 1, 2, 2, 1, 2, 2, 2]
vitalise	1.1	0.9434	[1, 2, 0, 2, 2, 0, 2, 0, 2, 0]
vitalised	0.6	1.49666	[1, -2, 2, 0, 2, 1, -2, 2, 0, 2]
vitalises	1.1	1.3	[1, 2, 2, 0, 2, 2, -2, 2, 0, 2]
vitalising	2.1	0.53852	[2, 2, 3, 2, 3, 2, 2, 1, 2, 2]
vitalism	0.2	0.6	[0, 0, 0, 0, 0, 0, 0, 0, 2, 0]
vitalist	0.3	0.64031	[0, 0, 0, 0, 0, 0, 1, 0, 2, 0]
vitalists	0.3	1.34536	[2, -3, 1, 0, 0, 0, 1, 0, 2, 0]
vitalities	1.2	0.87178	[2, 1, 3, 1, 1, 0, 2, 1, 0, 1]
vitality	1.3	0.9	[3, 2, 0, 1, 1, 1, 2, 0, 2, 1]
vitalization	1.6	0.91652	[2, 3, 3, 1, 2, 1, 0, 2, 1, 1]
vitalizations	0.8	0.74833	[0, 1, 1, 2, 0, 0, 0, 2, 1, 1]
vitalize	1.6	0.66332	[3, 2, 2, 1, 2, 1, 1, 1, 2, 1]
vitalized	1.5	0.67082	[1, 1, 2, 2, 0, 2, 1, 2, 2, 2]
vitalizes	1.4	0.4899	[2, 1, 1, 2, 1, 2, 1, 2, 1, 1]
vitalizing	1.3	0.9	[3, 1, 0, 0, 1, 1, 2, 2, 2, 1]
vitally	1.1	0.53852	[0, 2, 1, 1, 1, 1, 2, 1, 1, 1]
vitals	1.1	0.7	[1, 0, 1, 2, 2, 0, 2, 1, 1, 1]
vitamin	1.2	0.87178	[3, 1, 0, 0, 1, 2, 1, 2, 1, 1]
vitriolic	-2.1	0.83066	[-2, -2, -2, -4, -3, -2, -1, -1, -2, -2]
vivacious	1.8	0.9798	[0, 1, 3, 3, 3, 2, 2, 2, 1, 1]
vociferous	-0.8	0.9798	[1, -2, -1, -2, -1, -1, 1, -1, -1, -1]
vulnerabilities	-0.6	1.49666	[0, -3, -1, -1, -1, 2, -2, 2, -1, -1]
vulnerability	-0.9	1.75784	[1, -1, -1, -2, 1, -3, -1, 2, -4, -1]
vulnerable	-0.9	1.37477	[-2, -2, 2, -1, -3, -1, 1, -1, -1, -1]
vulnerableness	-1.1	1.04403	[-1, -1, -2, -3, -1, 1, 0, -2, -1, -1]
vulnerably	-1.2	1.46969	[-2, -2, 2, -1, -2, -3, 1, -1, -2, -2]
vulture	-2.0	0.89443	[-2, -3, -1, -2, -1, -1, -1, -3, -3, -3]
vultures	-1.3	1.55242	[-2, -3, -2, 2, -2, -2, -3, -1, -1, 1]
w00t	2.2	1.32665	[3, 2, 3, 2, 0, 4, 0, 4, 2, 2]
walkout	-1.3	0.9	[-1, -2, -2, -1, -1, -2, -1, 1, -2, -2]
walkouts	-0.7	1.00499	[-2, -2, -1, 0, -1, -1, -1, 1, -1, 1]
wanker	-2.5	0.67082	[-2, -3, -3, -2, -3, -3, -2, -1, -3, -3]
want	0.3	1.18743	[0, -2, 0, 1, 2, -1, 2, 1, 0, 0]
war	-2.9	1.13578	[-1, -3, -4, -4, -3, -1, -2, -3, -4, -4]
warfare	-1.2	1.16619	[-2, 0, -1, -2, 0, -3, 1, -2, -2, -1]
warfares	-1.8	0.87178	[-2, -1, -2, -2, -3, -1, -3, 0, -2, -2]
warm	0.9	0.7	[1, 0, 0, 1, 1, 2, 1, 2, 1, 0]
warmblooded	0.2	0.6	[0, 0, 2, 0, 0, 0, 0, 0, 0, 0]
warmed	1.1	0.53852	[2, 0, 1, 1, 1, 2, 1, 1, 1, 1]
warmer	1.2	0.9798	[2, 2, 2, 1, -1, 0, 2, 1, 1, 2]
warmers	1.0	0.44721	[1, 1, 1, 2, 1, 1, 1, 0, 1, 1]
warmest	1.7	1.34536	[3, 2, 1, 2, 3, 2, 2, 2, -2, 2]
warmhearted	1.8	0.6	[3, 2, 2, 2, 2, 1, 2, 1, 1, 2]
warmheartedness	2.7	0.64031	[2, 4, 3, 2, 3, 3, 3, 2, 2, 3]
warming	0.6	0.8	[0, 0, 2, 2, 1, 1, 0, 0, 0, 0]
warmish	1.4	0.66332	[1, 3, 2, 1, 1, 1, 1, 2, 1, 1]
warmly	1.7	0.64031	[2, 1, 2, 1, 2, 1, 2, 1, 2, 3]
warmness	1.5	0.92195	[3, 1, 2, 1, 0, 1, 3, 2, 1, 1]
warmonger	-2.9	1.13578	[-3, 0, -4, -4, -2, -3, -4, -3, -3, -3]
warmongering	-2.5	0.67082	[-2, -3, -3, -1, -2, -3, -3, -2, -3, -3]
warmongers	-2.8	0.87178	[-2, -3, -4, -4, -3, -1, -2, -3, -3, -3]
warmouth	0.4	0.66332	[0, 0, 2, 0, 0, 0, 0, 1, 1, 0]
warmouths	-0.8	1.32665	[-1, -1, -2, -1, -2, -2, 0, 2, 1, -2]
warms	1.1	0.7	[2, 2, 1, 2, 1, 0, 1, 1, 0, 1]
warmth	2.0	0.44721	[2, 2, 2, 2, 1, 2, 2, 3, 2, 2]
warmup	0.4	0.66332	[0, 2, 0, 1, 1, 0, 0, 0, 0, 0]
warmups	0.8	0.9798	[0, 2, 0, 0, 0, 2, 2, 0, 2, 0]
warn	-0.4	1.35647	[0, -1, 0, -2, -1, 2, 1, -2, 1, -2]
warned	-1.1	0.53852	[-1, -1, -2, 0, -1, -1, -1, -2, -1, -1]
warning	-1.4	1.0198	[-2, -1, -1, -1, -2, 0, -4, -1, -1, -1]
warnings	-1.2	0.9798	[-2, -1, 0, -1, -2, 0, 0, -1, -3, -2]
warns	-0.4	1.0198	[1, -1, -1, 1, -1, -1, -2, 1, 0, -1]
warred	-2.4	0.8	[-2, -2, -4, -1, -3, -2, -3, -2, -3, -2]
warring	-1.9	1.04403	[-3, -3, 0, -1, -2, -2, -3, -1, -1, -3]
wars	-2.6	0.8	[-2, -3, -1, -3, -2, -4, -3, -3, -2, -3]
warsaw	-0.1	0.3	[0, -1, 0, 0, 0, 0, 0, 0, 0, 0]
warsaws	-0.2	0.4	[0, 0, 0, -1, 0, 0, 0, 0, -1, 0]
warship	-0.7	0.9	[0, 0, 0, 0, 0, -2, -1, 0, -2, -2]
warships	-0.5	0.80623	[0, -1, 0, 0, -2, 0, 0, -2, 0, 0]
warstle	0.1	0.7	[0, 0, 0, 0, 0, 0, 0, 0, 2, -1]
waste	-1.8	0.9798	[-2, -2, -1, -3, -2, -1, -1, -4, -1, -1]
wasted	-2.2	0.6	[-2, -3, -2, -3, -1, -3, -2, -2, -2, -2]
wasting	-1.7	0.9	[-3, -1, -2, -2, -1, -2, -3, 0, -1, -2]
wavering	-0.6	1.0198	[-1, -1, 0, 0, -1, -1, -1, 2, -1, -2]
weak	-1.9	0.7	[-1, -3, -2, -2, -3, -2, -2, -1, -2, -1]
weaken	-1.8	0.6	[-2, -2, -2, -1, -1, -3, -2, -2, -1, -2]
weakened	-1.3	0.9	[-2, -1, -1, -1, -1, -2, -2, -2, 1, -2]
weakener	-1.6	1.11355	[-2, -1, -1, -1, -2, -2, -3, -3, 1, -2]
weakeners	-1.3	0.45826	[-1, -2, -1, -2, -1, -1, -2, -1, -1, -1]
weakening	-1.3	0.45826	[-2, -1, -1, -1, -1, -1, -1, -2, -2, -1]
weakens	-1.3	0.45826	[-1, -1, -1, -1, -1, -2, -1, -2, -1, -2]
weaker	-1.9	0.83066	[-2, -2, -2, -2, -2, -1, -4, -1, -1, -2]
weakest	-2.3	0.64031	[-2, -4, -2, -3, -2, -2, -2, -2, -2, -2]
weakfish	-0.2	1.07703	[0, -2, 0, 0, 0, 0, -2, 0, 2, 0]
weakfishes	-0.6	0.8	[0, -1, 0, -2, 0, 0, -1, 0, -2, 0]
weakhearted	-1.6	0.8	[-1, -3, -1, -1, -2, -1, -3, -2, -1, -1]
weakish	-1.2	0.4	[-1, -2, -1, -1, -1, -1, -2, -1, -1, -1]
weaklier	-1.5	0.67082	[-1, -2, -1, -3, -2, -1, -1, -2, -1, -1]
weakliest	-2.1	0.83066	[-2, -2, -2, -2, -3, -1, -2, -1, -4, -2]
weakling	-1.3	1.00499	[-1, -2, -1, -3, -2, -2, -1, -1, 1, -1]
weaklings	-1.4	0.66332	[-2, -1, -1, -1, -1, -2, -2, 0, -2, -2]
weakly	-1.8	0.87178	[-2, -2, -2, -2, -4, -1, -1, -1, -1, -2]
weakness	-1.8	0.6	[-2, -2, -2, -1, -1, -2, -1, -3, -2, -2]
weaknesses	-1.5	0.5	[-2, -2, -1, -1, -2, -1, -1, -2, -1, -2]
weakside	-1.1	1.37477	[-3, -2, -3, -1, -2, -1, 1, 1, -1, 0]
wealth	2.2	0.4	[2, 3, 2, 2, 2, 3, 2, 2, 2, 2]
wealthier	2.2	0.6	[3, 2, 1, 3, 2, 2, 2, 3, 2, 2]
wealthiest	2.2	0.9798	[2, 4, 4, 1, 2, 1, 2, 2, 2, 2]
wealthily	2.0	0.89443	[2, 3, 1, 4, 2, 1, 1, 2, 2, 2]
wealthiness	2.4	1.11355	[2, 4, 2, 4, 1, 2, 4, 1, 2, 2]
wealthy	1.5	1.0247	[1, 2, 1, 4, 1, 0, 2, 1, 2, 1]
weapon	-1.2	0.87178	[0, -2, -2, -1, 0, -2, -1, -2, 0, -2]
weaponed	-1.4	0.91652	[-2, -2, -3, -1, -1, 0, 0, -2, -1, -2]
weaponless	0.1	1.13578	[2, -1, 0, 0, -1, 1, -1, 0, 2, -1]
weaponry	-0.9	0.7	[-2, -2, 0, -1, 0, -1, -1, -1, 0, -1]
weapons	-1.9	0.9434	[-2, -1, -2, -2, -1, -3, -3, -3, -2, 0]
weary	-1.1	1.13578	[-2, -1, -2, -3, 0, -1, -1, -2, 0, 1]
weep	-2.7	0.9	[-2, -4, -4, -3, -3, -3, -3, -2, -1, -2]
weeper	-1.9	0.53852	[-2, -2, -2, -3, -1, -1, -2, -2, -2, -2]
weepers	-1.1	1.13578	[-2, -2, -1, -2, -1, 1, -2, 1, -1, -2]
weepie	-0.4	0.91652	[0, 1, -1, 0, -1, -2, 0, -1, -1, 1]
weepier	-1.8	0.87178	[-3, -3, -2, -1, -2, -2, -2, 0, -1, -2]
weepies	-1.6	0.8	[-2, -3, -2, -1, -1, -2, -2, 0, -1, -2]
weepiest	-2.4	0.91652	[-4, -2, -2, -2, -2, -1, -2, -2, -4, -3]
weeping	-1.9	0.9434	[-2, -2, -1, -1, -1, -1, -4, -2, -2, -3]
weepings	-1.9	0.9434	[-2, -2, -3, 0, -1, -2, -2, -3, -1, -3]
weeps	-1.4	1.35647	[-2, -3, -1, -2, -1, -3, 1, -2, 1, -2]
weepy	-1.3	1.55242	[-2, -3, -1, -2, 2, -3, -1, -2, 1, -2]
weird	-0.7	0.64031	[-1, 0, 0, -1, -1, -1, 0, 0, -2, -1]
weirder	-0.5	0.80623	[1, -1, -1, -1, -1, 1, -1, -1, 0, -1]
weirdest	-0.9	1.22066	[-2, 0, -2, -1, -1, -1, -3, 1, 1, -1]
weirdie	-1.3	0.45826	[-1, -2, -1, -2, -1, -1, -2, -1, -1, -1]
weirdies	-1.0	0.63246	[0, -1, -1, -1, -1, 0, -2, -2, -1, -1]
weirdly	-1.2	0.74833	[0, -1, -1, -2, -3, -1, -1, -1, -1, -1]
weirdness	-0.9	1.64012	[-3, -2, -1, -1, 2, -1, 1, -3, 1, -2]
weirdnesses	-0.7	1.00499	[-1, -2, 0, -1, -2, 1, -1, -1, -1, 1]
weirdo	-1.8	0.6	[-2, -2, -2, -2, -2, -2, -1, -1, -3, -1]
weirdoes	-1.3	0.64031	[-2, -1, -2, -1, -1, -2, -1, 0, -1, -2]
weirdos	-1.1	0.9434	[-1, -1, -1, -2, 1, -3, -1, -1, -1, -1]
weirds	-0.6	0.4899	[-1, -1, -1, 0, -1, 0, 0, -1, 0, -1]
weirdy	-0.9	0.83066	[-1, -1, 0, 0, -1, 0, -2, -2, 0, -2]
welcome	2.0	0.63246	[1, 3, 2, 1, 2, 2, 2, 2, 3, 2]
welcomed	1.4	0.4899	[1, 1, 2, 2, 1, 2, 1, 2, 1, 1]
welcomely	1.9	0.53852	[2, 2, 2, 2, 1, 3, 2, 1, 2, 2]
welcomeness	2.0	0.89443	[2, 3, 1, 2, 3, 0, 2, 3, 2, 2]
welcomer	1.4	0.4899	[1, 1, 2, 2, 2, 2, 1, 1, 1, 1]
welcomers	1.9	0.7	[2, 2, 3, 2, 2, 1, 1, 3, 1, 2]
welcomes	1.7	0.78102	[1, 1, 2, 2, 3, 3, 1, 2, 1, 1]
welcoming	1.9	0.7	[2, 2, 1, 1, 2, 2, 2, 3, 3, 1]
well	1.1	1.04403	[0, 0, 2, 0, 2, 0, 1, 1, 3, 2]
welladay	0.3	1.18743	[2, -2, 0, 0, -1, 1, 0, 1, 2, 0]
wellaway	-0.8	1.98997	[3, -2, -3, -3, -1, -2, 1, -2, -1, 2]
wellborn	1.8	0.74833	[2, 1, 2, 1, 2, 2, 1, 3, 1, 3]
welldoer	2.5	0.67082	[2, 2, 2, 3, 2, 3, 4, 3, 2, 2]
welldoers	1.6	0.8	[3, 1, 1, 0, 2, 1, 2, 2, 2, 2]
welled	0.4	0.8	[0, 0, 2, 0, 0, 0, 0, 0, 2, 0]
wellhead	0.1	0.3	[0, 0, 1, 0, 0, 0, 0, 0, 0, 0]
wellheads	0.5	0.92195	[0, 2, 0, 2, -1, 0, 1, 1, 0, 0]
wellhole	-0.1	0.3	[0, 0, 0, -1, 0, 0, 0, 0, 0, 0]
wellies	0.4	0.4899	[0, 1, 0, 0, 0, 1, 0, 0, 1, 1]
welling	1.6	0.8	[2, 0, 1, 2, 2, 1, 3, 2, 2, 1]
wellness	1.9	0.9434	[1, 2, 2, 1, 2, 1, 1, 3, 4, 2]
wells	1.0	1.0	[2, 0, 3, 0, 1, 0, 2, 1, 1, 0]
wellsite	0.5	0.67082	[0, 0, 1, 2, 0, 0, 0, 0, 1, 1]
wellspring	1.5	0.92195	[3, 1, 1, 1, 0, 2, 2, 3, 1, 1]
wellsprings	1.4	0.8	[1, 0, 0, 2, 2, 2, 1, 2, 2, 2]
welly	0.2	0.4	[0, 0, 0, 1, 0, 1, 0, 0, 0, 0]
wept	-2.0	1.09545	[-3, -2, -3, -3, -1, -3, 0, -1, -1, -3]
whimsical	0.3	1.61555	[2, 1, 1, 2, -1, 1, -3, -2, 1, 1]
whine	-1.5	1.11803	[-1, -4, -1, -1, -1, -3, 0, -2, -1, -1]
whined	-0.9	1.04403	[-2, -1, -2, -1, -1, -1, -2, 1, 1, -1]
whiner	-1.2	0.4	[-1, -2, -1, -1, -1, -2, -1, -1, -1, -1]
whiners	-0.6	1.95959	[-2, 0, -2, -2, 4, 1, 1, -2, -2, -2]
whines	-1.8	0.6	[-2, -2, -2, -1, -2, -2, -3, -1, -2, -1]
whiney	-1.3	0.45826	[-1, -2, -1, -1, -1, -2, -2, -1, -1, -1]
whining	-0.9	1.51327	[-3, 0, -1, -1, -3, -1, 1, 2, -2, -1]
whitewash	0.1	0.7	[-1, 0, 1, -1, 0, 0, 0, 1, 1, 0]
whore	-3.3	0.64031	[-4, -4, -3, -2, -3, -4, -3, -3, -4, -3]
whored	-2.8	0.87178	[-2, -3, -4, -2, -2, -3, -4, -4, -2, -2]
whoredom	-2.1	2.02237	[-4, -2, -4, -3, -3, -3, -4, -1, 2, 1]
whoredoms	-2.4	1.11355	[-1, -3, 0, -3, -2, -3, -3, -4, -2, -3]
whorehouse	-1.1	2.11896	[-2, -2, -2, 3, 3, -3, -3, -2, -1, -2]
whorehouses	-1.9	1.92094	[-4, -3, -4, -3, 0, 0, -3, 2, -1, -3]
whoremaster	-1.9	1.22066	[-1, -3, -3, -2, -1, -3, 0, 0, -3, -3]
whoremasters	-1.5	1.85742	[-3, -1, -1, -4, -2, 2, -1, 1, -2, -4]
whoremonger	-2.6	0.91652	[-3, -1, -3, -3, -3, -3, -3, -1, -4, -2]
whoremongers	-2.0	1.78885	[-4, -3, 0, -3, -3, -3, -3, 1, 1, -3]
whores	-3.0	1.0	[-3, -3, -4, -2, -1, -3, -4, -4, -2, -4]
whoreson	-2.2	1.46969	[-2, -3, -4, -4, -3, -1, -1, 1, -3, -2]
whoresons	-2.5	1.20416	[-3, -3, -2, -2, 0, -4, -3, -1, -3, -4]
wicked	-2.4	0.8	[-3, -4, -3, -3, -2, -2, -2, -1, -2, -2]
wickeder	-2.2	1.32665	[-2, -3, -1, -4, 1, -3, -3, -3, -2, -2]
wickedest	-2.9	1.04403	[-3, -1, -3, -3, -3, -3, -1, -4, -4, -4]
wickedly	-2.1	0.83066	[-2, -2, -1, -3, -2, -3, -1, -3, -1, -3]
wickedness	-2.1	0.83066	[-2, -1, -2, -2, -3, -1, -2, -4, -2, -2]
wickednesses	-2.2	1.16619	[-1, -2, -4, -2, -3, -1, -3, -4, -1, -1]
widowed	-2.1	1.22066	[0, -4, -2, -4, -3, -2, -2, -2, -1, -1]
willingness	1.1	0.7	[0, 2, 1, 1, 2, 2, 1, 0, 1, 1]
wimp	-1.4	1.28062	[-2, -3, -1, -2, -1, -2, -2, -1, 2, -2]
wimpier	-1.0	1.18322	[-1, -2, -2, -1, -2, 0, 1, -2, 1, -2]
wimpiest	-0.9	1.22066	[-3, -1, -2, -1, -2, -1, 1, 1, 0, -1]
wimpiness	-1.2	0.9798	[1, -1, -3, -1, -2, -1, -1, -1, -2, -1]
wimpish	-1.6	0.4899	[-2, -1, -2, -1, -2, -2, -1, -2, -2, -1]
wimpishness	-0.2	1.249	[-3, -1, 0, -1, -1, 1, 1, 1, 1, 0]
wimple	-0.2	0.74833	[0, -1, 0, 0, 0, 0, -2, 0, 0, 1]
wimples	-0.3	0.78102	[-2, 0, 0, 0, 0, -1, 0, -1, 1, 0]
wimps	-1.0	1.18322	[-2, -2, -1, -1, 0, -2, -2, 1, -2, 1]
wimpy	-0.9	1.04403	[-2, -1, -1, -1, -1, -2, -1, 1, -2, 1]
win	2.8	0.87178	[3, 2, 4, 3, 2, 4, 3, 1, 3, 3]
winnable	1.8	0.6	[3, 2, 2, 2, 2, 1, 1, 1, 2, 2]
winned	1.8	0.6	[2, 2, 2, 2, 1, 2, 1, 1, 3, 2]
winner	2.8	0.87178	[2, 2, 2, 3, 4, 2, 3, 4, 2, 4]
winners	2.1	1.44568	[3, 3, 2, 3, 3, 2, 2, -2, 3, 2]
winning	2.4	0.4899	[2, 3, 3, 2, 2, 2, 3, 3, 2, 2]
winningly	2.3	1.48661	[1, 3, 4, 3, 3, 1, 2, 3, -1, 4]
winnings	2.5	0.92195	[3, 4, 3, 2, 2, 3, 1, 1, 3, 3]
winnow	-0.3	1.00499	[0, -1, 0, -2, 1, 1, -2, 0, 0, 0]
winnower	-0.1	0.3	[0, 0, 0, 0, 0, -1, 0, 0, 0, 0]
winnowers	-0.2	0.6	[0, 0, 0, 0, 0, 0, 0, 0, -2, 0]
winnowing	-0.1	0.53852	[0, 0, -1, 0, 0, 0, 0, 1, -1, 0]
winnows	-0.2	0.4	[0, 0, -1, -1, 0, 0, 0, 0, 0, 0]
wins	2.7	0.78102	[2, 2, 3, 3, 4, 4, 3, 2, 2, 2]
wisdom	2.4	0.66332	[2, 3, 4, 2, 3, 2, 2, 2, 2, 2]
wise	2.1	0.83066	[2, 3, 1, 4, 2, 2, 1, 2, 2, 2]
wiseacre	-1.2	1.16619	[-2, -1, -2, -2, -2, -1, -2, 1, 1, -2]
wiseacres	-0.1	0.9434	[-2, 1, 0, -1, 0, 1, 1, -1, 0, 0]
wiseass	-1.8	0.6	[-2, -2, -1, -1, -2, -2, -3, -2, -1, -2]
wiseasses	-1.5	1.36015	[-1, -2, 2, -2, -1, -3, -2, -3, -1, -2]
wisecrack	-0.1	1.22066	[-1, -1, -1, -2, 2, 1, -1, 1, 1, 0]
wisecracked	-0.5	0.92195	[1, 1, -1, -1, 0, -1, -2, 0, -1, -1]
wisecracker	-0.1	0.7	[-1, 1, -1, -1, 0, 0, 0, 0, 1, 0]
wisecrackers	0.1	1.04403	[-1, 0, 1, 1, 0, 2, 1, -1, -1, -1]
wisecracking	-0.6	0.4899	[0, 0, -1, 0, -1, 0, -1, -1, -1, -1]
wisecracks	-0.3	1.55242	[1, 2, -1, 2, -3, 0, 0, -2, -1, -1]
wised	1.5	0.67082	[2, 2, 2, 1, 1, 2, 0, 1, 2, 2]
wiseguys	0.3	1.9	[4, -1, 1, -1, 1, 2, 2, -2, -2, -1]
wiselier	0.9	1.3	[1, 2, 2, -2, 0, 1, 3, 1, 0, 1]
wiseliest	1.6	1.49666	[1, 4, 2, 2, 1, 2, 2, 3, -2, 1]
wisely	1.8	0.6	[1, 2, 3, 2, 1, 2, 2, 1, 2, 2]
wiseness	1.9	0.7	[2, 3, 2, 2, 3, 1, 1, 1, 2, 2]
wisenheimer	-1.0	1.18322	[-1, 1, -1, -1, -1, 0, -1, -3, 0, -3]
wisenheimers	-1.4	0.91652	[-3, -3, -2, -1, -1, -1, 0, -1, -1, -1]
wisents	0.4	0.91652	[0, 0, 0, 0, 1, 0, 0, 0, 3, 0]
wiser	1.2	0.87178	[1, 3, 0, 1, 1, 2, 0, 2, 1, 1]
wises	1.3	1.48661	[3, 3, 2, -2, 2, 0, 0, 2, 2, 1]
wisest	2.1	1.51327	[1, 3, 3, 3, 3, 2, 2, 3, -2, 3]
wisewomen	1.3	0.9	[2, 2, 0, 0, 2, 0, 1, 2, 2, 2]
wish	1.7	1.1	[2, 1, 1, 0, 2, 1, 3, 2, 4, 1]
wishes	0.6	0.8	[0, 0, 1, 0, 1, 0, 2, 0, 2, 0]
wishing	0.9	0.7	[2, 1, 1, 0, 0, 0, 1, 1, 2, 1]
witch	-1.5	0.80623	[-1, -2, -2, -1, -3, 0, -2, -2, -1, -1]
withdrawal	0.1	1.57797	[1, -1, 0, -2, -2, 2, -1, 1, 0, 3]
woe	-1.8	0.6	[-3, -2, -2, -2, -1, -1, -2, -1, -2, -2]
woebegone	-2.6	0.66332	[-3, -2, -3, -2, -2, -4, -3, -2, -2, -3]
woebegoneness	-1.1	1.37477	[-3, 0, -1, 1, -1, -4, 0, -1, -1, -1]
woeful	-1.9	0.83066	[-1, -2, -2, -1, -3, -3, -1, -2, -1, -3]
woefully	-1.7	1.48661	[-1, -3, -2, 1, -3, -3, -2, -2, 1, -3]
woefulness	-2.1	0.7	[-3, -2, -2, -1, -2, -3, -3, -1, -2, -2]
woes	-1.9	0.83066	[-2, -2, -2, -1, -2, -3, -3, 0, -2, -2]
woesome	-1.2	1.6	[-2, -3, -2, -1, 0, 3, -2, -2, -1, -2]
won	2.7	0.9	[3, 4, 2, 2, 2, 4, 4, 2, 2, 2]
wonderful	2.7	0.78102	[2, 3, 3, 2, 4, 2, 2, 3, 4, 2]
wonderfully	2.9	0.83066	[1, 3, 3, 4, 3, 2, 3, 3, 4, 3]
wonderfulness	2.9	0.53852	[3, 2, 3, 3, 3, 3, 3, 2, 4, 3]
woo	2.1	1.37477	[4, 2, 1, 3, 2, 2, -1, 2, 2, 4]
woohoo	2.3	1.1	[3, 3, 1, 4, 4, 2, 1, 1, 2, 2]
woot	1.8	1.07703	[2, 0, 2, 2, 2, 2, 0, 4, 2, 2]
worn	-1.2	0.4	[-1, -1, -1, -1, -1, -1, -2, -1, -2, -1]
worried	-1.2	0.74833	[-1, -1, -1, -1, -1, -2, -3, 0, -1, -1]
worriedly	-2.0	0.44721	[-2, -2, -3, -2, -2, -2, -2, -1, -2, -2]
worrier	-1.8	0.6	[-2, -2, -1, -2, -1, -3, -2, -2, -1, -2]
worriers	-1.7	0.45826	[-2, -1, -2, -2, -2, -2, -1, -2, -1, -2]
worries	-1.8	0.6	[-2, -2, -1, -2, -1, -2, -2, -3, -1, -2]
worriment	-1.5	0.67082	[-1, -2, -1, -1, -1, -2, -1, -3, -1, -2]
worriments	-1.9	0.7	[-2, -1, -2, -3, -1, -2, -3, -1, -2, -2]
worrisome	-1.7	0.64031	[-1, -1, -1, -2, -1, -2, -3, -2, -2, -2]
worrisomely	-2.0	0.63246	[-1, -2, -1, -2, -2, -3, -2, -2, -3, -2]
worrisomeness	-1.9	0.53852	[-2, -2, -3, -1, -2, -2, -2, -1, -2, -2]
worrit	-2.1	0.53852	[-2, -2, -1, -2, -2, -3, -3, -2, -2, -2]
worrits	-1.2	0.9798	[-1, -2, -2, -1, 0, 0, -1, -3, 0, -2]
worry	-1.9	0.7	[-2, -3, -1, -3, -1, -2, -1, -2, -2, -2]
worrying	-1.4	0.66332	[-2, -1, -2, -2, -1, 0, -1, -1, -2, -2]
worrywart	-1.8	0.9798	[-2, -2, -2, -1, -1, -1, -1, -3, -1, -4]
worrywarts	-1.5	0.5	[-2, -1, -2, -2, -2, -1, -1, -1, -2, -1]
worse	-2.1	0.83066	[-2, -2, -1, -3, -4, -2, -1, -2, -2, -2]
worsen	-2.3	0.78102	[-4, -3, -1, -2, -2, -2, -2, -3, -2, -2]
worsened	-1.9	1.22066	[-2, -2, -2, -1, -2, -2, -4, 1, -3, -2]
worsening	-2.0	0.44721	[-2, -3, -2, -2, -2, -2, -1, -2, -2, -2]
worsens	-2.1	0.53852	[-2, -2, -2, -2, -1, -2, -2, -3, -3, -2]
worser	-2.0	0.89443	[-2, -2, -4, -1, -2, -2, -2, -3, -1, -1]
worship	1.2	1.07703	[1, 0, 0, 1, 3, 0, 2, 3, 1, 1]
worshiped	2.4	1.0198	[1, 2, 4, 3, 4, 1, 2, 3, 2, 2]
worshiper	1.0	1.0	[0, 0, 2, 3, 0, 2, 1, 1, 1, 0]
worshipers	0.9	0.83066	[0, 0, 0, 2, 1, 1, 1, 2, 2, 0]
worshipful	0.7	1.00499	[1, -1, 3, 1, 1, 1, 0, 0, 0, 1]
worshipfully	1.1	1.3	[0, 0, 0, 1, 3, 0, 3, 3, 1, 0]
worshipfulness	1.6	0.8	[3, 1, 2, 2, 1, 1, 3, 1, 1, 1]
worshiping	1.0	1.18322	[0, 3, 0, 3, 0, 1, 1, 2, 0, 0]
worshipless	-0.6	1.0198	[0, -1, -3, -1, -1, -1, 0, 0, 0, 1]
worshipped	2.7	0.78102	[3, 2, 3, 3, 1, 4, 2, 3, 3, 3]
worshipper	0.6	0.66332	[1, 1, 0, 0, 1, 0, 0, 2, 1, 0]
worshippers	0.8	0.87178	[0, 1, 0, 0, 3, 1, 1, 1, 0, 1]
worshipping	1.6	1.28062	[1, 3, 3, 3, 0, 3, 1, 0, 2, 0]
worships	1.4	1.11355	[2, 0, 1, 3, 2, 1, 0, 3, 2, 0]
worst	-3.1	1.04403	[-4, -4, -3, -1, -3, -4, -2, -2, -4, -4]
worth	0.9	0.9434	[0, 0, 1, 1, 2, 1, 1, 3, 0, 0]
worthless	-1.9	1.13578	[-3, -1, -3, -4, -1, -3, -1, -1, -1, -1]
worthwhile	1.4	0.4899	[1, 1, 1, 2, 1, 1, 2, 1, 2, 2]
worthy	1.9	0.53852	[2, 2, 2, 1, 1, 2, 2, 2, 3, 2]
wow	2.8	0.9798	[2, 3, 2, 4, 4, 3, 3, 2, 1, 4]
wowed	2.6	0.8	[3, 3, 4, 3, 2, 1, 3, 3, 2, 2]
wowing	2.5	0.67082	[2, 2, 3, 3, 2, 3, 4, 2, 2, 2]
wows	2.0	1.61245	[2, 3, 3, 3, 2, 1, -2, 1, 4, 3]
wowser	-1.1	2.02237	[-3, 3, 0, 2, -2, -1, -3, -2, -2, -3]
wowsers	1.0	2.14476	[0, -2, 4, 2, 3, 0, 1, 2, -3, 3]
wrathful	-2.7	0.64031	[-3, -2, -2, -3, -3, -2, -4, -2, -3, -3]
wreck	-1.9	0.7	[-1, -2, -3, -3, -2, -2, -2, -1, -1, -2]
wrong	-2.1	1.04403	[-2, -2, -2, -2, -4, -4, -1, -1, -1, -2]
wronged	-1.9	0.53852	[-2, -2, -2, -2, -2, -1, -3, -2, -2, -1]
x-d	2.6	0.91652	[2, 3, 3, 4, 1, 2, 3, 4, 2, 2]
x-p	1.7	0.45826	[2, 2, 1, 2, 2, 1, 1, 2, 2, 2]
xd	2.8	0.87178	[3, 3, 4, 2, 3, 3, 1, 2, 4, 3]
xp	1.6	0.4899	[2, 2, 2, 1, 1, 1, 2, 2, 1, 2]
yay	2.4	1.0198	[1, 3, 3, 2, 2, 1, 4, 4, 2, 2]
yeah	1.2	0.6	[1, 1, 1, 2, 1, 1, 0, 2, 1, 2]
yearning	0.5	1.0247	[0, 1, 0, 1, 0, 3, 0, 1, -1, 0]
yeees	1.7	1.00499	[1, 3, 1, 2, 1, 1, 4, 2, 1, 1]
yep	1.2	0.4	[1, 1, 1, 1, 1, 1, 2, 2, 1, 1]
yes	1.7	0.78102	[1, 2, 2, 1, 1, 1, 3, 3, 1, 2]
youthful	1.3	0.45826	[1, 2, 1, 2, 1, 1, 1, 1, 2, 1]
yucky	-1.8	0.6	[-2, -1, -1, -2, -2, -1, -2, -2, -3, -2]
yummy	2.4	1.0198	[1, 2, 4, 3, 2, 2, 3, 1, 4, 2]
zealot	-1.9	1.04403	[-2, -3, -1, -2, -1, -3, -4, -1, -1, -1]
zealots	-0.8	1.83303	[-1, -2, -1, -2, -2, 1, -2, 4, -1, -2]
zealous	0.5	1.43178	[2, -1, 2, 1, 0, 0, 3, 0, -2, 0]
{:	1.8	0.9798	[1, 3, 2, 2, 1, 1, 4, 2, 1, 1]
|-0	-1.2	0.74833	[0, -2, -1, -1, -1, -1, -1, -1, -1, -3]
|-:	-0.8	0.74833	[-1, -2, 0, -1, 0, -2, -1, -1, 0, 0]
|-:>	-1.6	0.4899	[-1, -2, -2, -2, -2, -1, -1, -2, -2, -1]
|-o	-1.2	0.9798	[-1, 0, -1, -1, -1, -1, -1, -4, -1, -1]
|:	-0.5	1.68819	[2, -3, -1, 0, -1, -1, -1, -2, -1, 3]
|;-)	2.2	1.32665	[4, 1, 1, 1, 3, 2, 4, 1, 4, 1]
|=	-0.4	1.56205	[2, -2, -1, 0, -1, -1, -1, -2, -1, 3]
|^:	-1.1	0.7	[-2, 0, -1, -1, 0, -1, -1, -2, -2, -1]
|o:	-0.9	0.53852	[-1, 0, -1, -2, -1, 0, -1, -1, -1, -1]
||-:	-2.3	0.45826	[-2, -2, -2, -3, -3, -3, -2, -2, -2, -2]
}:	-2.1	0.83066	[-1, -1, -3, -2, -3, -2, -2, -1, -3, -3]
}:(	-2.0	0.63246	[-3, -1, -2, -1, -3, -2, -2, -2, -2, -2]
}:)	0.4	1.42829	[1, 1, -2, 1, 2, -2, 1, -1, 2, 1]
}:-(	-2.1	0.7	[-2, -1, -2, -2, -2, -4, -2, -2, -2, -2]
}:-)	0.3	1.61555	[1, 1, -2, 1, -1, -3, 2, 2, 1, 1]
"""

The VADER default lexicon as a string  VADER doesn't seem to import its default lexicon in a way that PyInstaller # can package. This is a cheap hack so we can pass it to our custom lexicon # loader. $:	-1.5	0.80623	[-1, -1, -1, -1, -3, -1, -3, -1, -2, -1] %)	-0.4	1.0198	[-1, 0, -1, 0, 0, -2, -1, 2, -1, 0] %-)	-1.5	1.43178	[-2, 0, -2, -2, -1, 2, -2, -3, -2, -3] &-:	-0.4	1.42829	[-3, -1, 0, 0, -1, -1, -1, 2, -1, 2] &:	-0.7	0.64031	[0, -1, -1, -1, 1, -1, -1, -1, -1, -1] ( '}{' )	1.6	0.66332	[1, 2, 2, 1, 1, 2, 2, 1, 3, 1] (%	-0.9	0.9434	[0, 0, 1, -1, -1, -1, -2, -2, -1, -2] ('-:	2.2	1.16619	[4, 1, 4, 3, 1, 2, 3, 1, 2, 1] (':	2.3	0.9	[1, 3, 3, 2, 2, 4, 2, 3, 1, 2] ((-:	2.1	0.53852	[2, 2, 2, 1, 2, 3, 2, 2, 3, 2] (*	1.1	1.13578	[2, 1, 1, -1, 1, 2, 2, -1, 2, 2] (-%	-0.7	1.26886	[-1, 2, 0, -1, -1, -2, 0, 0, -3, -1] (-*	1.3	1.26886	[4, 1, 2, 0, 2, -1, 1, 2, 1, 1] (-:	1.6	0.8	[2, 2, 1, 3, 1, 1, 1, 3, 1, 1] (-:0	2.8	0.87178	[3, 2, 3, 4, 3, 2, 3, 1, 4, 3] (-:<	-0.4	2.15407	[-3, 3, -1, -1, 2, -1, -2, 3, -3, -1] (-:o	1.5	0.67082	[3, 1, 1, 2, 2, 2, 1, 1, 1, 1] (-:O	1.5	0.67082	[3, 1, 1, 2, 2, 2, 1, 1, 1, 1] (-:{	-0.1	1.57797	[-2, -3, 1, -2, 1, 1, 0, 0, 2, 1] (-:|>*	1.9	0.83066	[3, 2, 2, 1, 0, 2, 3, 2, 2, 2] (-;	1.3	1.18743	[3, 2, 3, 0, 1, -1, 1, 2, 1, 1] (-;|	2.1	1.13578	[3, 2, 2, 4, 1, 1, 1, 4, 2, 1] (8	2.6	1.0198	[4, 2, 1, 3, 3, 3, 3, 1, 2, 4] (:	2.2	1.16619	[3, 1, 1, 2, 1, 2, 4, 3, 4, 1] (:0	2.4	1.11355	[0, 2, 3, 4, 3, 2, 3, 3, 1, 3] (:<	-0.2	2.03961	[-2, -3, 1, 1, 2, -1, 2, 1, -4, 1] (:o	2.5	0.92195	[3, 3, 1, 3, 3, 1, 2, 2, 4, 3] (:O	2.5	0.92195	[3, 3, 1, 3, 3, 1, 2, 2, 4, 3] (;	1.1	1.22066	[3, 1, 1, -1, 1, 2, 2, -1, 1, 2] (;<	0.3	1.00499	[1, 2, -1, -1, 0, 0, 1, -1, 1, 1] (=	2.2	1.16619	[3, 1, 2, 2, 1, 1, 4, 3, 4, 1] (?:	2.1	0.83066	[2, 2, 1, 3, 2, 2, 4, 1, 2, 2] (^:	1.5	0.67082	[1, 2, 2, 1, 3, 2, 1, 1, 1, 1] (^;	1.5	0.5	[1, 2, 2, 1, 2, 1, 2, 1, 1, 2] (^;0	2.0	0.7746	[2, 2, 1, 2, 1, 4, 2, 2, 2, 2] (^;o	1.9	0.83066	[2, 2, 1, 2, 1, 4, 2, 1, 2, 2] (o:	1.6	0.8	[2, 1, 3, 1, 1, 1, 2, 3, 1, 1] )':	-2.0	0.44721	[-2, -2, -2, -2, -1, -3, -2, -2, -2, -2] )-':	-2.1	0.53852	[-2, -2, -3, -2, -1, -2, -3, -2, -2, -2] )-:	-2.1	0.9434	[-3, -2, -4, -1, -3, -2, -2, -2, -1, -1] )-:<	-2.2	0.4	[-2, -2, -2, -2, -2, -2, -3, -3, -2, -2] )-:{	-2.1	0.9434	[-1, -3, -2, -1, -2, -2, -3, -4, -1, -2] ):	-1.8	0.87178	[-1, -3, -1, -2, -1, -3, -1, -3, -1, -2] ):<	-1.9	0.53852	[-1, -3, -2, -2, -2, -1, -2, -2, -2, -2] ):{	-2.3	0.78102	[-1, -2, -3, -3, -2, -2, -4, -2, -2, -2] );<	-2.6	0.8	[-2, -2, -2, -3, -2, -3, -2, -2, -4, -4] *)	0.6	1.42829	[1, -1, 1, -3, 1, 1, 2, 1, 1, 2] *-)	0.3	1.61555	[1, -3, -2, 2, 1, 1, -1, 2, 1, 1] *-:	2.1	1.51327	[2, 2, 4, 4, 2, 1, -1, 4, 1, 2] *-;	2.4	1.62481	[2, 3, 4, 4, 2, 1, -1, 4, 1, 4] *:	1.9	1.04403	[2, 1, 1, 3, 1, 2, 4, 3, 1, 1] *<|:-)	1.6	1.28062	[0, 1, 3, 1, 1, 2, 3, 0, 4, 1] *\0/*	2.3	1.00499	[2, 0, 3, 1, 3, 3, 2, 3, 3, 3] *^:	1.6	1.42829	[2, 2, 1, 3, 2, 2, 3, 3, -1, -1] ,-:	1.2	0.4	[1, 1, 2, 1, 1, 1, 1, 1, 2, 1] ---'-;-{@	2.3	1.18743	[0, 1, 3, 4, 2, 3, 2, 2, 2, 4] --<--<@	2.2	1.249	[0, 1, 2, 4, 2, 1, 3, 2, 3, 4] .-:	-1.2	0.4	[-1, -1, -1, -1, -1, -1, -2, -1, -2, -1] ..###-:	-1.7	0.78102	[-2, -3, -3, -2, -1, -1, -1, -1, -1, -2] ..###:	-1.9	1.04403	[-4, -1, -3, -1, -2, -2, -1, -3, -1, -1] /-:	-1.3	0.64031	[-1, -1, -1, -1, -1, -1, -1, -2, -3, -1] /:	-1.3	0.45826	[-2, -1, -1, -1, -2, -1, -1, -2, -1, -1] /:<	-1.4	0.4899	[-1, -2, -2, -1, -1, -1, -1, -1, -2, -2] /=	-0.9	0.53852	[-1, -1, -1, 0, -1, -2, -1, -1, -1, 0] /^:	-1.0	0.7746	[-2, -1, -2, 1, -1, -1, -1, -1, -1, -1] /o:	-1.4	0.66332	[0, -2, -1, -1, -2, -2, -1, -2, -1, -2] 0-8	0.1	1.44568	[2, -1, -2, 0, 2, 0, 2, 0, -2, 0] 0-|	-1.2	0.4	[-2, -1, -1, -1, -1, -1, -1, -1, -2, -1] 0:)	1.9	1.04403	[2, 2, 2, 1, 0, 2, 4, 1, 3, 2] 0:-)	1.4	0.91652	[2, 1, 0, 1, 2, 3, 2, 1, 2, 0] 0:-3	1.5	0.92195	[2, 1, 0, 2, 2, 3, 2, 1, 2, 0] 0:03	1.9	1.22066	[2, 3, 2, 0, 0, 1, 4, 2, 3, 2] 0;^)	1.6	0.91652	[0, 1, 3, 1, 2, 1, 2, 1, 2, 3] 0_o	-0.3	0.78102	[0, -2, 0, 1, 0, 0, -1, 0, -1, 0] 10q	2.1	1.22066	[1, 3, 1, 2, 1, 4, 3, 4, 1, 1] 1337	2.1	1.13578	[3, 1, 4, 0, 2, 3, 1, 2, 2, 3] 143	3.2	0.74833	[4, 4, 2, 3, 2, 3, 4, 3, 4, 3] 1432	2.6	0.8	[4, 3, 3, 2, 2, 4, 2, 2, 2, 2] 14aa41	2.4	0.91652	[3, 2, 2, 4, 2, 2, 1, 2, 4, 2] 182	-2.9	1.3	[-4, 0, -3, -3, -1, -3, -4, -4, -4, -3] 187	-3.1	1.22066	[-4, 0, -4, -3, -2, -4, -3, -3, -4, -4] 2g2b4g	2.8	0.6	[4, 2, 3, 2, 3, 3, 3, 3, 2, 3] 2g2bt	-0.1	1.57797	[-1, 2, -1, 1, 0, 2, 0, -3, -2, 1] 2qt	2.1	0.83066	[3, 3, 3, 3, 2, 1, 2, 1, 2, 1] 3:(	-2.2	0.87178	[-4, -3, -2, -3, -2, -1, -1, -2, -2, -2] 3:)	0.5	1.28452	[-2, 1, -2, 1, 1, 1, 1, 2, 1, 1] 3:-(	-2.3	0.78102	[-2, -3, -2, -2, -2, -2, -4, -1, -3, -2] 3:-)	-1.4	1.35647	[-1, -2, 1, 1, -2, -2, -3, -1, -3, -2] 4col	-2.2	1.16619	[-2, -3, -1, -3, -4, -1, -2, -1, -4, -1] 4q	-3.1	1.51327	[-3, -3, -4, -2, -4, -4, -4, 1, -4, -4] 5fs	1.5	1.11803	[1, 2, 1, 1, 2, 3, 2, 3, -1, 1] 8)	1.9	0.7	[2, 2, 2, 1, 1, 2, 2, 3, 3, 1] 8-d	1.7	0.64031	[1, 2, 0, 2, 2, 2, 2, 2, 2, 2] 8-o	-0.3	0.78102	[1, -1, 0, 0, 0, -1, 0, -2, 0, 0] 86	-1.6	1.0198	[-1, -1, -1, -1, -1, -4, -1, -2, -1, -3] 8d	2.9	0.53852	[3, 3, 4, 2, 3, 3, 3, 3, 2, 3] :###..	-2.4	0.91652	[-3, -2, -4, -3, -1, -2, -2, -3, -1, -3] :$	-0.2	1.83303	[-2, -1, 0, 0, -1, 1, 4, -3, 1, -1] :&	-0.6	1.0198	[-2, -1, 0, 0, -1, -1, 1, -2, 1, -1] :'(	-2.2	0.74833	[-2, -1, -2, -2, -2, -2, -4, -3, -2, -2] :')	2.3	0.78102	[3, 1, 3, 2, 2, 2, 2, 4, 2, 2] :'-(	-2.4	0.66332	[-2, -1, -2, -3, -2, -3, -3, -3, -2, -3] :'-)	2.7	0.64031	[2, 1, 3, 3, 3, 3, 3, 3, 3, 3] :(	-1.9	1.13578	[-2, -3, -2, 0, -1, -1, -2, -3, -1, -4] :)	2.0	1.18322	[2, 2, 1, 1, 1, 1, 4, 3, 4, 1] :*	2.5	1.0247	[3, 2, 1, 1, 2, 3, 4, 3, 4, 2] :-###..	-2.5	0.92195	[-3, -2, -3, -2, -4, -3, -1, -3, -1, -3] :-&	-0.5	0.92195	[-1, -1, 0, -1, -1, -1, -1, 0, 2, -1] :-(	-1.5	0.5	[-2, -1, -1, -1, -2, -2, -2, -1, -2, -1] :-)	1.3	0.45826	[1, 1, 1, 1, 2, 1, 2, 1, 2, 1] :-))	2.8	1.07703	[3, 4, 4, 1, 2, 2, 4, 2, 4, 2] :-*	1.7	0.64031	[1, 2, 1, 1, 1, 3, 2, 2, 2, 2] :-,	1.1	0.53852	[1, 1, 1, 0, 1, 1, 1, 1, 2, 2] :-.	-0.9	0.53852	[-1, -1, 0, -1, 0, -1, -1, -1, -2, -1] :-/	-1.2	0.6	[0, -1, -1, -1, -1, -2, -2, -1, -1, -2] :-<	-1.5	0.5	[-2, -1, -1, -2, -1, -2, -2, -1, -2, -1] :-d	2.3	0.45826	[2, 2, 3, 3, 2, 3, 2, 2, 2, 2] :-D	2.3	0.45826	[2, 2, 3, 3, 2, 3, 2, 2, 2, 2] :-o	0.1	1.3	[2, -1, -2, 0, 1, 1, 2, 0, -1, -1] :-p	1.2	0.4	[1, 2, 1, 1, 1, 1, 2, 1, 1, 1] :-[	-1.6	0.4899	[-1, -2, -1, -2, -2, -1, -2, -1, -2, -2] :-\	-0.9	0.3	[-1, -1, -1, -1, -1, -1, -1, 0, -1, -1] :-c	-1.3	0.45826	[-1, -1, -1, -2, -2, -1, -2, -1, -1, -1] :-p	1.5	0.5	[1, 1, 1, 1, 1, 2, 2, 2, 2, 2] :-|	-0.7	0.64031	[-1, -1, 0, 0, 0, -1, -1, -2, 0, -1] :-||	-2.5	0.67082	[-2, -2, -2, -3, -2, -3, -3, -2, -2, -4] :-Þ	0.9	1.04403	[1, -1, 1, 2, 1, -1, 1, 2, 2, 1] :/	-1.4	0.66332	[-1, -1, -1, -1, -1, -1, -3, -2, -2, -1] :3	2.3	1.26886	[4, 1, 1, 1, 2, 2, 4, 3, 4, 1] :<	-2.1	0.7	[-3, -1, -2, -2, -2, -2, -3, -3, -2, -1] :>	2.1	1.22066	[3, 1, 1, 1, 1, 2, 4, 3, 4, 1] :?)	1.3	0.64031	[3, 1, 1, 1, 1, 2, 1, 1, 1, 1] :?c	-1.6	0.4899	[-1, -2, -1, -1, -2, -2, -1, -2, -2, -2] :@	-2.5	0.80623	[-1, -3, -3, -2, -1, -3, -3, -3, -3, -3] :d	2.3	1.1	[4, 2, 2, 1, 2, 1, 4, 3, 3, 1] :D	2.3	1.1	[4, 2, 2, 1, 2, 1, 4, 3, 3, 1] :l	-1.7	0.9	[-1, -3, -1, -1, -1, -3, -2, -3, -1, -1] :o	-0.4	1.35647	[2, -1, -2, 0, 1, 0, -3, 0, -1, 0] :p	1.0	0.7746	[-1, 1, 1, 1, 1, 1, 2, 1, 2, 1] :s	-1.2	0.9798	[-2, -2, -1, -1, -1, 1, -3, -1, -1, -1] :[	-2.0	0.63246	[-2, -2, -1, -2, -2, -3, -3, -2, -1, -2] :\	-1.3	0.45826	[-2, -1, -1, -1, -1, -1, -2, -1, -1, -2] :]	2.2	1.16619	[3, 1, 1, 1, 3, 1, 4, 2, 2, 4] :^)	2.1	1.13578	[3, 2, 4, 1, 1, 1, 1, 2, 4, 2] :^*	2.6	0.91652	[2, 1, 2, 3, 4, 4, 3, 2, 3, 2] :^/	-1.2	0.6	[-2, -1, -2, 0, -1, -1, -1, -1, -2, -1] :^\	-1.0	0.44721	[-1, -1, -1, -1, -1, -2, 0, -1, -1, -1] :^|	-1.0	0.0	[-1, -1, -1, -1, -1, -1, -1, -1, -1, -1] :c	-2.1	0.83066	[-3, -2, -1, -2, -2, -1, -3, -3, -3, -1] :c)	2.0	1.18322	[2, 1, 1, 1, 1, 2, 3, 4, 4, 1] :o)	2.1	0.9434	[1, 3, 3, 1, 1, 3, 2, 3, 1, 3] :o/	-1.4	0.4899	[-1, -1, -1, -2, -1, -1, -2, -2, -1, -2] :o\	-1.1	0.3	[-1, -1, -1, -2, -1, -1, -1, -1, -1, -1] :o|	-0.6	1.0198	[0, 0, 0, 0, -1, 0, 0, -3, 0, -2] :P	1.4	0.8	[3, 1, 0, 2, 1, 1, 2, 2, 1, 1] :{	-1.9	0.83066	[-2, -1, -1, -2, -2, -1, -3, -3, -3, -1] :|	-0.4	1.11355	[-1, -1, 0, -1, -1, -1, 1, -2, 2, 0] :}	2.1	1.22066	[3, 1, 1, 1, 2, 1, 4, 3, 4, 1] :Þ	1.1	0.53852	[1, 1, 1, 1, 0, 1, 1, 2, 2, 1] ;)	0.9	1.04403	[2, -1, 1, 1, 1, 1, -1, 2, 2, 1] ;-)	1.0	1.73205	[1, -2, 1, -2, 1, 4, 2, 1, 2, 2] ;-*	2.2	0.74833	[2, 2, 1, 3, 4, 2, 2, 2, 2, 2] ;-]	0.7	1.67631	[1, -2, 1, -3, 1, 2, 2, 1, 2, 2] ;d	0.8	1.249	[2, -1, 2, 1, 1, 1, -2, 2, 1, 1] ;D	0.8	1.249	[2, -1, 2, 1, 1, 1, -2, 2, 1, 1] ;]	0.6	1.11355	[1, -1, 1, 1, 1, 1, -2, 2, 1, 1] ;^)	1.4	0.91652	[2, 2, 1, 2, 1, 2, -1, 1, 2, 2] </3	-3.0	1.0	[-3, -3, -4, -3, -4, -1, -2, -2, -4, -4] <3	1.9	1.13578	[3, 2, 1, 3, 1, 4, 2, 0, 1, 2] <:	2.1	1.13578	[3, 2, 4, 1, 1, 1, 1, 2, 4, 2] <:-|	-1.4	0.66332	[-1, -1, -1, -2, -2, -1, -3, -1, -1, -1] =)	2.2	1.16619	[4, 2, 3, 3, 2, 1, 1, 4, 1, 1] =-3	2.0	0.63246	[2, 2, 2, 3, 1, 3, 1, 2, 2, 2] =-d	2.4	0.91652	[2, 2, 1, 3, 2, 4, 2, 4, 2, 2] =-D	2.4	0.91652	[2, 2, 1, 3, 2, 4, 2, 4, 2, 2] =/	-1.4	0.91652	[-1, -1, -1, -1, -1, -2, -1, -1, -4, -1] =3	2.1	0.7	[3, 1, 2, 1, 2, 3, 2, 2, 3, 2] =d	2.3	0.45826	[3, 2, 2, 2, 2, 3, 2, 2, 2, 3] =D	2.3	0.45826	[3, 2, 2, 2, 2, 3, 2, 2, 2, 3] =l	-1.2	0.6	[-2, -1, -1, 0, -2, -1, -2, -1, -1, -1] =\	-1.2	0.6	[-2, -1, -1, 0, -2, -1, -2, -1, -1, -1] =]	1.6	0.8	[2, 1, 3, 1, 1, 1, 2, 3, 1, 1] =p	1.3	0.9	[2, 1, 2, 1, 2, -1, 1, 2, 2, 1] =|	-0.8	0.87178	[-2, -1, -2, 1, 0, -1, 0, -1, -1, -1] >-:	-2.0	0.89443	[-2, -3, -2, -4, -1, -1, -1, -2, -2, -2] >.<	-1.3	0.45826	[-1, -2, -1, -2, -2, -1, -1, -1, -1, -1] >:	-2.1	1.13578	[-4, -1, -1, -4, -2, -3, -1, -1, -2, -2] >:(	-2.7	0.64031	[-2, -3, -2, -3, -3, -2, -4, -2, -3, -3] >:)	0.4	1.42829	[1, 1, 2, 1, -1, -2, 1, 2, -2, 1] >:-(	-2.7	0.78102	[-3, -2, -3, -2, -4, -2, -3, -2, -2, -4] >:-)	-0.4	1.68523	[1, 2, 1, -2, -2, -1, -1, -3, -1, 2] >:/	-1.6	0.8	[-1, -2, -1, -3, -1, -1, -1, -1, -2, -3] >:o	-1.2	1.16619	[-3, -1, -2, 0, -2, -2, 0, -1, 1, -2] >:p	1.0	0.7746	[-1, 1, 1, 2, 1, 2, 1, 1, 1, 1] >:[	-2.1	0.53852	[-2, -2, -2, -2, -3, -3, -2, -1, -2, -2] >:\	-1.7	0.64031	[-1, -2, -1, -2, -2, -3, -1, -1, -2, -2] >;(	-2.9	0.7	[-3, -4, -3, -2, -2, -3, -3, -3, -2, -4] >;)	0.1	1.04403	[-1, 1, 0, -1, 2, 0, -1, 1, 1, -1] >_>^	2.1	0.9434	[2, 2, 1, 4, 3, 2, 1, 3, 1, 2] @:	-2.1	0.9434	[-3, -2, -3, -1, -2, -4, -1, -2, -1, -2] @>-->--	2.1	1.22066	[1, 1, 0, 2, 4, 2, 4, 2, 3, 2] @}-;-'---	2.2	1.32665	[0, 1, 3, 2, 1, 4, 4, 1, 3, 3] aas	2.5	0.80623	[2, 3, 3, 4, 1, 2, 3, 2, 2, 3] aayf	2.7	0.78102	[2, 3, 2, 4, 3, 2, 2, 3, 4, 2] afu	-2.9	0.83066	[-3, -3, -3, -3, -3, -1, -4, -4, -2, -3] alol	2.8	0.74833	[2, 2, 2, 3, 3, 2, 3, 4, 4, 3] ambw	2.9	0.7	[2, 3, 4, 2, 3, 2, 3, 3, 4, 3] aml	3.4	0.66332	[4, 3, 2, 4, 3, 3, 4, 4, 3, 4] atab	-1.9	1.22066	[-2, 0, -1, -2, -1, -1, -2, -4, -4, -2] awol	-1.3	0.78102	[0, -1, -1, -1, -1, -1, -2, -2, -3, -1] ayc	0.2	0.9798	[0, 1, -1, 1, 0, 1, 0, -1, 2, -1] ayor	-1.2	0.6	[-1, -1, -2, -2, -1, -1, -1, 0, -2, -1] aug-00	0.3	1.18743	[2, 0, -2, 0, 0, 1, -1, 2, 1, 0] bfd	-2.7	0.78102	[-3, -2, -4, -2, -3, -2, -3, -2, -4, -2] bfe	-2.6	1.35647	[-3, -3, -4, -2, -3, -2, 1, -3, -4, -3] bff	2.9	0.83066	[3, 3, 4, 2, 4, 2, 2, 3, 4, 2] bffn	1.0	0.89443	[2, 1, -1, 1, 0, 1, 2, 1, 2, 1] bl	2.3	1.1	[2, 1, 4, 1, 2, 2, 4, 3, 1, 3] bsod	-2.2	1.07703	[-1, -4, -3, -3, 0, -2, -3, -2, -2, -2] btd	-2.1	0.83066	[-1, -2, -3, -3, -3, -1, -3, -2, -1, -2] btdt	-0.1	1.22066	[0, -1, 0, -1, 0, 3, 1, -1, -1, -1] bz	0.4	1.35647	[-1, 0, 0, 0, 4, 1, -1, 1, 0, 0] b^d	2.6	0.8	[3, 2, 2, 4, 3, 1, 3, 3, 3, 2] cwot	-2.3	0.45826	[-3, -2, -2, -2, -2, -3, -2, -3, -2, -2] d-':	-2.5	0.67082	[-3, -3, -2, -2, -2, -4, -2, -3, -2, -2] d8	-3.2	0.6	[-3, -3, -3, -3, -4, -4, -2, -3, -3, -4] d:	-2.9	0.83066	[-3, -3, -3, -3, -2, -4, -1, -3, -3, -4] d:<	-3.2	0.9798	[-4, -4, -4, -1, -3, -3, -4, -2, -3, -4] d;	-2.9	0.83066	[-1, -3, -3, -3, -3, -4, -2, -3, -3, -4] d=	-3.0	0.89443	[-4, -3, -3, -3, -2, -4, -1, -3, -3, -4] doa	-2.3	1.00499	[-2, -3, -3, -2, -2, -2, -4, 0, -2, -3] dx	-3.0	0.63246	[-3, -2, -3, -3, -4, -3, -4, -2, -3, -3] ez	1.5	0.67082	[3, 2, 2, 1, 1, 1, 2, 1, 1, 1] fav	2.4	0.91652	[3, 1, 3, 2, 2, 3, 1, 2, 3, 4] fcol	-1.8	0.74833	[-2, -2, -1, -2, -1, -2, -1, -3, -3, -1] ff	1.8	1.249	[4, 2, 1, 2, 1, 3, 3, 0, 2, 0] ffs	-2.8	0.9798	[-2, -2, -3, -3, -2, -4, -4, -4, -1, -3] fkm	-2.4	1.35647	[-4, -1, -4, -2, -2, -3, -1, 0, -3, -4] foaf	1.8	1.249	[2, 1, 2, 0, 4, 1, 1, 1, 2, 4] ftw	2.0	0.7746	[2, 1, 1, 2, 2, 2, 3, 3, 1, 3] fu	-3.7	0.45826	[-3, -4, -4, -3, -3, -4, -4, -4, -4, -4] fubar	-3.0	1.09545	[-4, -3, -3, -4, -3, -3, -3, -4, 0, -3] fwb	2.5	1.43178	[2, 3, 4, 0, 1, 2, 4, 1, 4, 4] fyi	0.8	1.66132	[0, 1, 0, -1, 0, 0, 4, 4, 0, 0] fysa	0.4	0.91652	[0, 0, 0, 1, 0, 3, 0, 0, 0, 0] g1	1.4	0.4899	[2, 1, 1, 1, 2, 1, 2, 1, 1, 2] gg	1.2	0.74833	[0, 2, 2, 1, 0, 1, 2, 2, 1, 1] gga	1.7	0.45826	[2, 2, 1, 2, 2, 1, 2, 2, 1, 2] gigo	-0.6	1.11355	[-2, -1, 1, 0, 0, 0, -1, -2, -2, 1] gj	2.0	1.0	[2, 1, 2, 1, 1, 3, 4, 2, 3, 1] gl	1.3	0.64031	[1, 1, 1, 1, 3, 1, 1, 2, 1, 1] gla	2.5	0.92195	[1, 2, 2, 4, 2, 4, 2, 3, 3, 2] gn	1.2	0.74833	[1, 1, 1, 1, 3, 1, 1, 2, 1, 0] gr8	2.7	0.78102	[1, 3, 3, 4, 3, 2, 3, 2, 3, 3] grrr	-0.4	1.42829	[-2, -1, 0, 1, -2, -1, -1, 3, 0, -1] gt	1.1	0.53852	[1, 1, 1, 1, 1, 1, 2, 1, 0, 2] h&k	2.3	0.78102	[2, 2, 2, 3, 4, 2, 3, 2, 1, 2] hagd	2.2	0.87178	[2, 2, 3, 2, 1, 3, 4, 1, 2, 2] hagn	2.2	0.87178	[2, 2, 3, 2, 1, 3, 4, 1, 2, 2] hago	1.2	0.4	[1, 2, 1, 1, 1, 2, 1, 1, 1, 1] hak	1.9	0.7	[3, 1, 2, 2, 1, 2, 3, 2, 1, 2] hand	2.2	0.87178	[2, 2, 1, 3, 2, 3, 4, 1, 2, 2] heart	3.2	0.63246	[3, 3, 4, 3, 4, 2, 3, 4, 3, 3] hearts	3.3	0.48305	[4, 3, 3, 3, 4, 3, 3, 3, 4, 3] hho1/2k	1.4	1.11355	[1, -1, 2, 3, 1, 1, 1, 2, 3, 1] hhoj	2.0	1.09545	[4, 2, 1, 1, 2, 1, 1, 4, 2, 2] hhok	0.9	0.9434	[1, 2, 1, 0, -1, 0, 2, 1, 1, 2] hugz	2.0	0.7746	[2, 3, 1, 3, 1, 3, 1, 2, 2, 2] hi5	1.9	0.53852	[2, 2, 2, 1, 3, 2, 1, 2, 2, 2] idk	-0.4	0.66332	[0, 0, 0, 0, -1, -2, 0, 0, 0, -1] ijs	0.7	1.84662	[0, -1, 0, -1, 0, 4, 0, 4, -1, 2] ilu	3.4	0.66332	[3, 4, 3, 4, 2, 3, 4, 3, 4, 4] iluaaf	2.7	1.1	[3, 3, 3, 2, 3, 0, 4, 3, 2, 4] ily	3.4	0.66332	[3, 4, 3, 4, 2, 3, 4, 3, 4, 4] ily2	2.6	0.66332	[3, 2, 3, 2, 3, 2, 3, 4, 2, 2] iou	0.7	1.34536	[0, 0, -1, 2, 0, 0, 0, 4, 1, 1] iyq	2.3	1.18743	[3, 3, 1, 1, 2, 1, 4, 4, 3, 1] j/j	2.0	1.34164	[4, 1, 1, 1, 1, 4, 4, 1, 2, 1] j/k	1.6	1.2	[1, 2, 1, 3, 0, 0, 2, 2, 1, 4] j/p	1.4	0.66332	[1, 1, 0, 2, 1, 2, 2, 2, 1, 2] j/t	-0.2	1.46969	[1, -1, -1, -2, 1, 1, 2, -2, 1, -2] j/w	1.0	1.0	[1, 1, 1, 3, 0, 0, 0, 2, 0, 2] j4f	1.4	0.8	[2, 1, 1, 0, 3, 1, 1, 1, 2, 2] j4g	1.7	1.18743	[1, 4, 1, 1, 3, 1, 3, 0, 2, 1] jho	0.8	0.4	[1, 1, 1, 1, 0, 1, 1, 1, 0, 1] jhomf	1.0	0.63246	[1, 1, 1, 0, 1, 0, 2, 2, 1, 1] jj	1.0	0.63246	[1, 1, 1, 1, 2, 0, 2, 1, 1, 0] jk	0.9	1.22066	[1, 0, 0, 1, 0, 0, 2, 1, 4, 0] jp	0.8	0.74833	[1, 1, 1, 0, 2, 0, 2, 0, 1, 0] jt	0.9	0.83066	[1, 1, 0, 2, 2, 0, 2, 0, 1, 0] jw	1.6	1.68523	[3, 0, 0, 0, 0, 0, 3, 4, 2, 4] jealz	-1.2	0.9798	[-1, -1, -1, 1, -2, -2, -1, -3, -1, -1] k4y	2.3	1.00499	[2, 1, 1, 2, 4, 2, 3, 4, 2, 2] kfy	2.3	0.64031	[2, 2, 2, 1, 3, 2, 3, 3, 2, 3] kia	-3.2	0.6	[-3, -3, -3, -4, -3, -2, -3, -3, -4, -4] kk	1.5	1.0247	[2, 1, 0, 0, 1, 2, 3, 3, 2, 1] kmuf	2.2	1.4	[2, 2, 2, 3, 4, 3, -1, 1, 4, 2] l	2.0	0.7746	[2, 1, 2, 3, 2, 3, 1, 3, 2, 1] l&r	2.2	0.74833	[3, 2, 2, 3, 1, 3, 1, 3, 2, 2] laoj	1.3	1.73494	[1, -2, -1, 3, 3, 2, 4, 1, 1, 1] lmao	2.0	1.18322	[3, 0, 3, 0, 3, 1, 3, 2, 3, 2] lmbao	1.8	1.77764	[3, 2, 2, 2, 1, 3, -3, 2, 4, 2] lmfao	2.5	1.28452	[3, 2, 3, 3, 3, -1, 4, 2, 3, 2] lmso	2.7	0.78102	[3, 3, 4, 3, 3, 1, 3, 3, 2, 2] lol	2.9	0.83066	[4, 2, 2, 2, 4, 2, 3, 3, 4, 3] lolz	2.7	0.78102	[2, 3, 3, 2, 2, 4, 4, 3, 2, 2] lts	1.6	0.66332	[1, 1, 2, 2, 1, 3, 1, 1, 2, 2] ly	2.6	0.91652	[2, 2, 1, 3, 4, 4, 3, 2, 2, 3] ly4e	2.7	0.78102	[3, 3, 3, 2, 1, 3, 3, 4, 2, 3] lya	3.3	0.78102	[3, 4, 4, 4, 2, 2, 3, 4, 3, 4] lyb	3.0	0.63246	[3, 3, 4, 3, 2, 3, 2, 4, 3, 3] lyl	3.1	0.7	[4, 3, 4, 3, 2, 3, 3, 2, 4, 3] lylab	2.7	0.78102	[3, 3, 3, 1, 3, 4, 2, 2, 3, 3] lylas	2.6	0.8	[3, 3, 3, 1, 3, 4, 2, 2, 2, 3] lylb	1.6	1.56205	[2, 2, 3, -2, 4, 1, 3, 1, 1, 1] m8	1.4	1.0198	[3, 0, 1, 0, 1, 3, 2, 2, 1, 1] mia	-1.2	0.4	[-2, -1, -1, -2, -1, -1, -1, -1, -1, -1] mml	2.0	1.0	[1, 1, 2, 3, 3, 2, 1, 2, 4, 1] mofo	-2.4	2.2	[-4, -4, -4, 0, -3, -2, -2, -4, 3, -4] muah	2.8	1.07703	[1, 2, 4, 4, 4, 2, 4, 2, 2, 3] mubar	-1.0	2.36643	[-4, -2, -3, -2, -2, -2, 1, 4, 2, -2] musm	0.9	2.07123	[-1, 1, 1, 1, 4, 3, 1, -4, 1, 2] mwah	2.5	0.80623	[2, 2, 2, 4, 2, 3, 2, 2, 4, 2] n1	1.9	1.04403	[1, 1, 3, 2, 2, 3, 4, 1, 1, 1] nbd	1.3	1.34536	[2, 1, 0, 0, 0, 4, 2, 0, 3, 1] nbif	-0.5	0.67082	[-1, -2, 0, 0, 0, 0, -1, -1, 0, 0] nfc	-2.7	0.9	[-3, -2, -2, -3, -1, -2, -4, -3, -4, -3] nfw	-2.4	1.0198	[-2, -2, -1, -3, -1, -2, -4, -3, -4, -2] nh	2.2	0.6	[2, 2, 2, 2, 1, 3, 3, 3, 2, 2] nimby	-0.8	0.6	[0, 0, -1, 0, -1, -2, -1, -1, -1, -1] nimjd	-0.7	0.78102	[0, -2, -1, -2, 0, -1, 0, 0, 0, -1] nimq	-0.2	0.6	[0, 0, 0, 0, 0, 0, 0, 0, -2, 0] nimy	-1.4	1.68523	[-1, -2, -3, -2, -1, 2, -3, 0, 0, -4] nitl	-1.5	0.92195	[-1, -1, -2, -3, -1, -3, -1, -2, 0, -1] nme	-2.1	1.13578	[-1, -2, -2, -1, -4, -2, -3, -3, 0, -3] noyb	-0.7	1.67631	[-1, -2, 0, -1, -1, -2, -2, -1, 4, -1] np	1.4	1.0198	[0, 1, 1, 1, 1, 2, 2, 4, 1, 1] ntmu	1.4	0.66332	[1, 1, 0, 1, 2, 2, 2, 2, 2, 1] o-8	-0.5	1.5	[2, -1, 0, 0, -2, -2, 0, -2, 2, -2] o-:	-0.3	1.18743	[2, -1, 0, 0, -1, -2, 0, -2, 1, 0] o-|	-1.1	0.53852	[-1, -1, -1, 0, -1, -1, -1, -2, -2, -1] o.o	-0.6	0.8	[-1, -1, -2, 0, 1, 0, -1, 0, -1, -1] O.o	-0.6	0.8	[-1, -1, -2, 0, 1, 0, -1, 0, -1, -1] o.O	-0.6	0.8	[-1, -1, -2, 0, 1, 0, -1, 0, -1, -1] o:	-0.2	0.87178	[-1, 0, -1, -2, 0, 1, 0, 1, 0, 0] o:)	1.5	0.67082	[3, 1, 1, 2, 2, 2, 1, 1, 1, 1] o:-)	2.0	1.18322	[1, 4, 1, 2, 4, 1, 1, 2, 3, 1] o:-3	2.2	0.9798	[1, 4, 2, 3, 3, 2, 1, 2, 3, 1] o:3	2.3	0.78102	[3, 3, 2, 2, 1, 2, 4, 2, 2, 2] o:<	-0.3	1.1	[-1, -1, -2, 0, -1, 0, 1, 2, 0, -1] o;^)	1.6	0.8	[1, 2, 1, 2, 1, 2, 2, 0, 3, 2] ok	1.6	1.42829	[0, 0, 1, 1, 1, 4, 3, 4, 1, 1] o_o	-0.5	0.92195	[0, -1, 0, -2, -2, 0, -1, 1, 0, 0] O_o	-0.5	0.92195	[0, -1, 0, -2, -2, 0, -1, 1, 0, 0] o_O	-0.5	0.92195	[0, -1, 0, -2, -2, 0, -1, 1, 0, 0] pita	-2.4	1.2	[-2, -1, -1, -4, -4, -2, -4, -2, -3, -1] pls	0.3	0.45826	[0, 1, 1, 1, 0, 0, 0, 0, 0, 0] plz	0.3	0.45826	[0, 1, 1, 1, 0, 0, 0, 0, 0, 0] pmbi	0.8	1.32665	[3, 0, 0, 1, 1, -2, 2, 2, 0, 1] pmfji	0.3	0.78102	[0, 0, 1, 0, 2, -1, 0, 1, 0, 0] pmji	0.7	1.00499	[1, 2, 0, -1, 0, 0, 2, 2, 1, 0] po	-2.6	0.91652	[-2, -3, -4, -3, -3, -3, -1, -3, -1, -3] ptl	2.6	1.11355	[3, 4, 2, 4, 1, 2, 3, 1, 4, 2] pu	-1.1	1.3	[-3, -1, -3, -2, -1, -1, -1, -1, 1, 1] qq	-2.2	0.6	[-2, -2, -1, -3, -3, -2, -2, -3, -2, -2] qt	1.8	0.6	[2, 2, 1, 2, 1, 3, 2, 1, 2, 2] r&r	2.4	1.0198	[2, 4, 2, 3, 1, 4, 2, 2, 1, 3] rofl	2.7	0.78102	[3, 2, 2, 2, 4, 4, 2, 3, 3, 2] roflmao	2.5	1.11803	[4, 2, 2, 4, 1, 1, 2, 4, 3, 2] rotfl	2.6	0.66332	[3, 2, 3, 3, 1, 3, 3, 3, 2, 3] rotflmao	2.8	1.07703	[4, 3, 2, 4, 1, 1, 4, 3, 3, 3] rotflmfao	2.5	1.11803	[3, 4, 1, 3, 3, 3, 0, 3, 2, 3] rotflol	3.0	1.09545	[1, 4, 4, 4, 2, 2, 2, 3, 4, 4] rotgl	2.9	0.7	[4, 3, 2, 2, 3, 3, 3, 2, 4, 3] rotglmao	1.8	2.4	[3, 3, 4, 3, -1, 1, 4, -4, 2, 3] s:	-1.1	0.83066	[-1, -1, -2, -2, -1, -1, -2, -1, 1, -1] sapfu	-1.1	1.57797	[-2, 0, -3, -1, -1, 1, -2, 2, -2, -3] sete	2.8	0.87178	[3, 3, 3, 2, 3, 3, 4, 4, 1, 2] sfete	2.7	0.78102	[4, 3, 3, 3, 2, 4, 2, 2, 2, 2] sgtm	2.4	1.0198	[2, 1, 1, 2, 3, 3, 2, 2, 4, 4] slap	0.6	2.15407	[2, -1, 1, -1, 0, 4, -3, 4, 1, -1] slaw	2.1	1.04403	[3, 2, 0, 2, 2, 2, 3, 1, 4, 2] smh	-1.3	0.64031	[-2, -1, 0, -1, -1, -2, -2, -1, -2, -1] snafu	-2.5	1.11803	[-3, -4, -3, -3, -1, 0, -2, -3, -3, -3] sob	-2.8	0.9798	[-3, -4, -3, -2, -2, -1, -2, -4, -4, -3] swak	2.3	1.00499	[2, 2, 2, 1, 4, 2, 3, 2, 1, 4] tgif	2.3	1.34536	[1, 3, 3, 3, -1, 2, 4, 2, 3, 3] thks	1.4	0.4899	[1, 2, 1, 2, 1, 2, 1, 1, 2, 1] thx	1.5	0.92195	[0, 1, 3, 2, 1, 2, 1, 1, 3, 1] tia	2.3	0.9	[3, 1, 2, 1, 4, 3, 2, 3, 2, 2] tmi	-0.3	1.61555	[-1, -1, 2, -1, 1, -2, -2, -1, 3, -1] tnx	1.1	0.53852	[2, 1, 1, 0, 1, 1, 2, 1, 1, 1] true	1.8	1.32665	[2, 1, 1, 0, 1, 4, 3, 1, 4, 1] tx	1.5	0.92195	[3, 2, 1, 0, 2, 1, 3, 1, 1, 1] txs	1.1	0.7	[1, 2, 0, 1, 2, 0, 1, 2, 1, 1] ty	1.6	0.66332	[1, 2, 3, 1, 2, 2, 1, 2, 1, 1] tyvm	2.5	1.11803	[2, 2, 1, 3, 1, 4, 2, 4, 2, 4] urw	1.9	1.13578	[1, 2, 1, 2, 4, 2, 4, 1, 1, 1] vbg	2.1	1.75784	[2, 3, 3, 3, 3, -3, 3, 2, 2, 3] vbs	3.1	0.53852	[2, 3, 3, 3, 4, 4, 3, 3, 3, 3] vip	2.3	1.00499	[2, 1, 1, 3, 4, 2, 2, 4, 2, 2] vwd	2.6	0.91652	[4, 2, 4, 2, 1, 3, 3, 2, 3, 2] vwp	2.1	0.7	[3, 1, 2, 2, 3, 2, 2, 3, 1, 2] wag	-0.2	0.74833	[-1, 0, 0, 0, 0, 0, -2, 1, 0, 0] wd	2.7	1.1	[3, 1, 4, 3, 4, 2, 1, 3, 2, 4] wilco	0.9	0.9434	[1, 3, 1, 0, 1, 0, 2, 1, 0, 0] wp	1.0	0.0	[1, 1, 1, 1, 1, 1, 1, 1, 1, 1] wtf	-2.8	0.74833	[-4, -3, -2, -3, -2, -2, -2, -4, -3, -3] wtg	2.1	0.7	[1, 3, 2, 3, 2, 2, 2, 1, 2, 3] wth	-2.4	0.4899	[-2, -3, -2, -3, -2, -2, -2, -3, -3, -2] x-d	2.7	0.78102	[1, 3, 4, 2, 3, 3, 3, 2, 3, 3] x-p	1.8	0.87178	[2, 1, 3, 1, 3, 1, 3, 1, 2, 1] xd	2.7	0.9	[1, 4, 4, 3, 2, 2, 3, 3, 2, 3] xlnt	3.0	0.89443	[4, 3, 3, 1, 4, 4, 3, 3, 3, 2] xoxo	3.0	0.7746	[2, 2, 4, 2, 3, 3, 4, 3, 3, 4] xoxozzz	2.3	0.78102	[3, 1, 2, 2, 2, 2, 3, 2, 4, 2] xp	1.2	0.4	[1, 1, 1, 1, 2, 1, 2, 1, 1, 1] xqzt	1.6	1.42829	[0, 2, 1, 2, 4, -1, 3, 1, 1, 3] xtc	0.8	1.93907	[2, 0, -3, 3, 3, -1, 3, 1, -1, 1] yolo	1.1	0.83066	[0, 1, 1, 2, 1, 1, 1, 3, 0, 1] yoyo	0.4	1.85472	[-1, 0, -1, -1, 4, 2, -2, 2, 2, -1] yvw	1.6	0.4899	[1, 2, 1, 1, 2, 2, 2, 1, 2, 2] yw	1.8	1.32665	[1, 1, 1, 4, 1, 1, 4, 0, 3, 2] ywia	2.5	1.11803	[3, 2, 3, 4, 1, 1, 1, 3, 3, 4] zzz	-1.2	0.87178	[0, -1, 0, -1, -3, -1, -1, -2, -2, -1] [-;	0.5	1.28452	[1, -1, -1, 1, 1, 1, 2, -2, 2, 1] [:	1.3	0.45826	[1, 1, 2, 1, 2, 2, 1, 1, 1, 1] [;	1.0	1.34164	[2, 1, 2, 2, 1, 2, 2, -2, -1, 1] [=	1.7	0.64031	[2, 2, 1, 1, 1, 2, 2, 3, 2, 1] \-:	-1.0	1.18322	[-3, -1, -1, -1, -1, -1, 2, -2, -1, -1] \:	-1.0	0.0	[-1, -1, -1, -1, -1, -1, -1, -1, -1, -1] \:<	-1.7	1.18743	[-1, -3, -2, -2, -3, -3, -2, -1, 1, -1] \=	-1.1	0.3	[-1, -1, -1, -1, -1, -1, -1, -2, -1, -1] \^:	-1.3	0.45826	[-1, -1, -1, -2, -1, -1, -1, -2, -2, -1] \o/	2.2	0.9798	[2, 1, 1, 2, 4, 2, 2, 4, 2, 2] \o:	-1.2	0.4	[-1, -1, -1, -1, -2, -1, -1, -2, -1, -1] ]-:	-2.1	0.53852	[-2, -3, -3, -2, -2, -2, -1, -2, -2, -2] ]:	-1.6	0.66332	[-1, -2, -1, -2, -3, -2, -1, -1, -1, -2] ]:<	-2.5	0.80623	[-2, -2, -2, -3, -4, -2, -2, -2, -2, -4] ^<_<	1.4	1.11355	[3, 1, 3, 2, 1, 1, 1, -1, 2, 1] ^urs	-2.8	0.6	[-2, -3, -3, -2, -3, -3, -2, -3, -4, -3] abandon	-1.9	0.53852	[-1, -2, -2, -2, -2, -3, -2, -2, -1, -2] abandoned	-2.0	1.09545	[-1, -1, -3, -2, -1, -4, -1, -3, -3, -1] abandoner	-1.9	0.83066	[-1, -1, -3, -2, -1, -3, -1, -2, -3, -2] abandoners	-1.9	0.83066	[-2, -3, -2, -3, -2, -1, -2, -2, 0, -2] abandoning	-1.6	0.8	[-3, -2, -3, -2, -1, -1, -1, -1, -1, -1] abandonment	-2.4	1.0198	[-4, -2, -1, -4, -2, -1, -2, -3, -3, -2] abandonments	-1.7	0.45826	[-2, -1, -2, -2, -1, -2, -1, -2, -2, -2] abandons	-1.3	0.9	[-2, -1, -1, -2, -1, -2, -1, -2, 1, -2] abducted	-2.3	1.18743	[-3, -1, 0, -3, -1, -3, -4, -2, -3, -3] abduction	-2.8	0.87178	[-4, -3, -3, -4, -1, -3, -2, -2, -3, -3] abductions	-2.0	1.41421	[-3, -4, -1, -3, -1, -3, 1, -2, -1, -3] abhor	-2.0	1.09545	[-3, -3, -1, -1, -2, -1, -3, -3, 0, -3] abhorred	-2.4	1.49666	[-4, -4, 0, -3, -2, -1, -4, -3, -3, 0] abhorrent	-3.1	1.3	[-4, -4, -4, -2, 0, -4, -2, -3, -4, -4] abhors	-2.9	1.51327	[0, -4, -3, -3, -4, -4, 0, -4, -3, -4] abilities	1.0	0.63246	[1, 2, 0, 1, 0, 1, 1, 1, 1, 2] ability	1.3	0.64031	[1, 1, 1, 0, 1, 2, 2, 2, 2, 1] aboard	0.1	0.3	[0, 0, 0, 0, 1, 0, 0, 0, 0, 0] absentee	-1.1	0.53852	[-1, -1, 0, -2, -1, -1, -2, -1, -1, -1] absentees	-0.8	0.6	[-1, 0, 0, -1, -1, 0, -2, -1, -1, -1] absolve	1.2	1.46969	[2, -3, 2, 2, 1, 1, 2, 1, 2, 2] absolved	1.5	0.92195	[3, 1, 2, 1, 0, 2, 3, 1, 1, 1] absolves	1.3	1.00499	[3, 1, 1, 0, 0, 2, 3, 1, 1, 1] absolving	1.6	0.8	[3, 1, 2, 1, 1, 2, 3, 1, 1, 1] abuse	-3.2	0.6	[-4, -2, -3, -4, -3, -4, -3, -3, -3, -3] abused	-2.3	0.64031	[-2, -2, -3, -2, -2, -4, -2, -2, -2, -2] abuser	-2.6	0.4899	[-3, -2, -3, -3, -2, -3, -2, -2, -3, -3] abusers	-2.6	1.0198	[-2, -3, -3, -3, -3, -2, -3, -4, -3, 0] abuses	-2.6	0.66332	[-3, -2, -3, -3, -3, -3, -1, -2, -3, -3] abusing	-2.0	1.41421	[-1, -2, -2, -4, -4, -2, -3, -1, 1, -2] abusive	-3.2	0.74833	[-4, -3, -3, -4, -4, -3, -4, -2, -3, -2] abusively	-2.8	0.6	[-3, -4, -3, -2, -3, -2, -2, -3, -3, -3] abusiveness	-2.5	0.92195	[-2, -4, -2, -3, -2, -3, -4, -2, -1, -2] abusivenesses	-3.0	0.63246	[-3, -3, -4, -3, -4, -2, -2, -3, -3, -3] accept	1.6	0.91652	[2, 1, 2, 1, 1, 2, 4, 1, 1, 1] acceptabilities	1.6	0.66332	[0, 2, 2, 2, 1, 2, 2, 2, 1, 2] acceptability	1.1	0.53852	[1, 0, 1, 2, 1, 2, 1, 1, 1, 1] acceptable	1.3	0.45826	[1, 2, 1, 1, 1, 2, 1, 1, 2, 1] acceptableness	1.3	0.9	[1, 0, 2, 1, 2, 1, 1, 0, 2, 3] acceptably	1.5	0.67082	[3, 2, 1, 1, 1, 2, 1, 1, 2, 1] acceptance	2.0	0.63246	[3, 1, 3, 2, 1, 2, 2, 2, 2, 2] acceptances	1.7	0.78102	[3, 1, 1, 1, 2, 2, 1, 2, 3, 1] acceptant	1.6	0.8	[0, 1, 2, 2, 2, 1, 2, 1, 3, 2] acceptation	1.3	0.78102	[0, 1, 2, 1, 1, 1, 1, 3, 2, 1] acceptations	0.9	0.83066	[1, 2, 0, 2, 0, 1, 0, 2, 1, 0] accepted	1.1	0.3	[1, 1, 1, 1, 1, 2, 1, 1, 1, 1] accepting	1.6	0.66332	[2, 2, 2, 1, 1, 2, 1, 3, 1, 1] accepts	1.3	0.45826	[1, 2, 1, 1, 1, 2, 2, 1, 1, 1] accident	-2.1	0.83066	[-2, -2, -1, -3, -4, -2, -2, -1, -2, -2] accidental	-0.3	0.45826	[-1, -1, 0, 0, 0, 0, 0, 0, -1, 0] accidentally	-1.4	0.91652	[-2, 0, -2, 0, -3, -1, -1, -1, -2, -2] accidents	-1.3	0.78102	[-1, -1, -1, -1, -2, 0, -3, -1, -2, -1] accomplish	1.8	0.6	[1, 2, 3, 2, 2, 2, 1, 1, 2, 2] accomplished	1.9	0.53852	[2, 2, 2, 1, 2, 2, 3, 1, 2, 2] accomplishes	1.7	0.9	[2, 2, 1, 0, 2, 3, 3, 1, 1, 2] accusation	-1.0	1.09545	[-1, -1, -2, -2, -2, -1, -1, -1, 2, -1] accusations	-1.3	1.26886	[-2, -2, -1, -3, -2, -1, -1, 2, -2, -1] accuse	-0.8	1.53623	[-3, -1, -1, -2, 1, -2, 1, -2, 2, -1] accused	-1.2	1.46969	[-2, -1, -2, 2, -2, -3, -2, -2, -1, 1] accuses	-1.4	1.0198	[-2, -1, -2, 1, -2, -3, -1, -2, -1, -1] accusing	-0.7	1.34536	[-2, -1, -1, 1, -3, -1, -1, 2, -1, 0] ache	-1.6	1.2	[-1, -2, -2, -2, -1, -4, -1, 1, -2, -2] ached	-1.6	0.8	[-2, -2, -1, -2, -1, -2, -3, 0, -1, -2] aches	-1.0	0.7746	[-1, -2, -1, -1, -1, 1, -2, -1, -1, -1] achievable	1.3	0.45826	[2, 1, 1, 1, 1, 1, 1, 2, 2, 1] aching	-2.2	0.74833	[-2, -3, -2, -1, -3, -3, -2, -3, -1, -2] acquit	0.8	1.72047	[-3, 3, -1, 3, 2, 1, 1, 1, 0, 1] acquits	0.1	1.37477	[1, -3, -1, 0, 2, 0, -1, 1, 1, 1] acquitted	1.0	0.89443	[2, 2, 1, 1, 2, 0, 1, 1, -1, 1] acquitting	1.3	0.78102	[3, 2, 0, 1, 1, 1, 2, 1, 1, 1] acrimonious	-1.7	1.73494	[-1, -3, -2, -3, 3, -3, -1, -2, -2, -3] active	1.7	1.26886	[1, 2, 1, 1, 1, 4, 2, 4, 0, 1] actively	1.3	0.78102	[0, 1, 0, 2, 2, 1, 1, 2, 2, 2] activeness	0.6	0.8	[0, 2, 0, 0, 1, 0, 1, 0, 2, 0] activenesses	0.8	0.74833	[2, 0, 1, 0, 0, 0, 1, 2, 1, 1] actives	1.1	0.7	[2, 1, 0, 1, 1, 0, 1, 1, 2, 2] adequate	0.9	0.7	[0, 0, 1, 1, 0, 2, 1, 1, 2, 1] admirability	2.4	0.4899	[2, 3, 3, 3, 3, 2, 2, 2, 2, 2] admirable	2.6	0.66332	[2, 3, 3, 3, 4, 3, 2, 2, 2, 2] admirableness	2.2	0.87178	[2, 2, 3, 3, 3, 1, 3, 1, 3, 1] admirably	2.5	0.67082	[2, 3, 3, 3, 4, 2, 2, 2, 2, 2] admiral	1.3	1.18743	[0, 0, 1, 3, 3, 2, 2, 0, 2, 0] admirals	1.5	0.80623	[2, 2, 0, 2, 2, 0, 1, 2, 2, 2] admiralties	1.6	0.66332	[2, 2, 2, 1, 0, 2, 2, 2, 1, 2] admiralty	1.2	1.53623	[0, 4, 0, 0, 0, 2, 2, 3, 2, -1] admiration	2.5	0.80623	[3, 1, 1, 3, 3, 2, 3, 3, 3, 3] admirations	1.6	0.66332	[2, 2, 1, 1, 2, 2, 2, 2, 2, 0] admire	2.1	0.83066	[3, 3, 1, 3, 3, 2, 1, 2, 1, 2] admired	2.3	0.78102	[4, 2, 2, 2, 2, 2, 3, 3, 1, 2] admirer	1.8	0.74833	[2, 1, 1, 2, 3, 2, 3, 1, 1, 2] admirers	1.7	1.00499	[2, 3, 2, 2, 2, 1, -1, 2, 2, 2] admires	1.5	0.67082	[3, 1, 1, 2, 1, 2, 2, 1, 1, 1] admiring	1.6	0.8	[1, 2, 1, 1, 3, 3, 2, 1, 1, 1] admiringly	2.3	0.64031	[1, 3, 3, 2, 2, 2, 2, 3, 3, 2] admit	0.8	1.07703	[0, 0, 0, 0, 0, 1, 3, 2, 2, 0] admits	1.2	0.87178	[1, 2, 2, 2, 0, 0, 1, 2, 0, 2] admitted	0.4	0.66332	[0, 1, 0, 1, 0, 0, 2, 0, 0, 0] admonished	-1.9	0.9434	[-2, -2, -2, -1, -2, -3, -1, -1, -1, -4] adopt	0.7	0.64031	[0, 0, 1, 1, 1, 0, 1, 0, 1, 2] adopts	0.7	0.64031	[0, 0, 1, 2, 1, 0, 1, 1, 0, 1] adorability	2.2	0.74833	[2, 2, 2, 2, 1, 2, 3, 2, 4, 2] adorable	2.2	0.6	[3, 2, 2, 3, 2, 2, 1, 3, 2, 2] adorableness	2.5	0.67082	[2, 3, 3, 2, 3, 2, 1, 3, 3, 3] adorably	2.1	0.7	[3, 1, 2, 3, 2, 2, 1, 3, 2, 2] adoration	2.9	0.7	[3, 3, 3, 2, 3, 3, 4, 2, 4, 2] adorations	2.2	0.87178	[2, 2, 3, 1, 3, 1, 3, 3, 1, 3] adore	2.6	0.91652	[3, 3, 1, 2, 3, 3, 3, 4, 1, 3] adored	1.8	0.87178	[2, 3, 3, 2, 2, 1, 1, 0, 2, 2] adorer	1.7	1.1	[2, 4, 3, 1, 2, 1, 1, 0, 2, 1] adorers	2.1	0.7	[3, 2, 1, 2, 2, 2, 3, 2, 3, 1] adores	1.6	0.66332	[2, 1, 3, 2, 2, 1, 1, 1, 2, 1] adoring	2.6	0.66332	[2, 3, 3, 3, 1, 3, 3, 2, 3, 3] adoringly	2.4	0.8	[2, 3, 2, 3, 3, 3, 3, 1, 1, 3] adorn	0.9	0.53852	[1, 1, 1, 0, 2, 1, 1, 0, 1, 1] adorned	0.8	1.249	[1, 1, 0, 2, -1, 3, -1, 2, 1, 0] adorner	1.3	0.78102	[1, 1, 1, 2, 1, 3, 1, 2, 1, 0] adorners	0.9	0.9434	[2, 2, 0, 1, -1, 2, 1, 1, 0, 1] adorning	1.0	0.7746	[0, 0, 1, 1, 1, 2, 2, 1, 0, 2] adornment	1.3	0.78102	[1, 3, 1, 0, 2, 2, 1, 1, 1, 1] adornments	0.8	1.16619	[2, -1, 0, 0, 2, 1, 2, -1, 1, 2] adorns	0.5	1.56525	[3, -1, 1, 0, 2, -1, 3, -1, 0, -1] advanced	1.0	0.63246	[1, 0, 1, 1, 1, 0, 1, 2, 1, 2] advantage	1.0	0.63246	[1, 2, 1, 1, 2, 0, 1, 0, 1, 1] advantaged	1.4	0.91652	[1, 0, 3, 0, 1, 1, 2, 2, 2, 2] advantageous	1.5	0.67082	[2, 0, 2, 2, 2, 1, 1, 1, 2, 2] advantageously	1.9	0.53852	[2, 2, 2, 3, 2, 2, 2, 1, 1, 2] advantageousness	1.6	1.28062	[-2, 2, 3, 1, 2, 2, 2, 2, 2, 2] advantages	1.5	0.80623	[1, 0, 3, 1, 1, 1, 2, 2, 2, 2] advantaging	1.6	0.66332	[3, 1, 1, 2, 1, 1, 2, 2, 2, 1] adventure	1.3	0.45826	[1, 2, 1, 1, 2, 1, 1, 1, 1, 2] adventured	1.3	0.45826	[1, 2, 1, 2, 1, 2, 1, 1, 1, 1] adventurer	1.2	0.6	[1, 2, 0, 2, 1, 2, 1, 1, 1, 1] adventurers	0.9	0.9434	[0, 1, 0, 1, 0, 1, 0, 1, 3, 2] adventures	1.4	1.2	[2, 2, 1, 2, -2, 2, 2, 1, 2, 2] adventuresome	1.7	1.1	[0, 3, 0, 1, 2, 2, 3, 1, 2, 3] adventuresomeness	1.3	1.00499	[1, 0, 0, 2, 3, 2, 2, 0, 1, 2] adventuress	0.8	1.72047	[3, -1, 2, 2, 0, 0, 1, 2, -3, 2] adventuresses	1.4	1.11355	[1, 0, 0, 3, 2, 2, 3, 0, 1, 2] adventuring	2.3	0.78102	[2, 3, 2, 3, 1, 3, 3, 1, 2, 3] adventurism	1.5	0.67082	[1, 0, 2, 2, 2, 2, 1, 1, 2, 2] adventurist	1.4	0.4899	[1, 1, 2, 1, 2, 2, 2, 1, 1, 1] adventuristic	1.7	0.64031	[2, 1, 1, 2, 2, 1, 3, 2, 2, 1] adventurists	1.2	0.9798	[3, 1, 0, 0, 1, 2, 1, 0, 2, 2] adventurous	1.4	1.11355	[0, 1, 2, 1, 2, 0, 3, 2, 3, 0] adventurously	1.3	0.9	[0, 1, 2, 2, 1, 2, 1, 1, 0, 3] adventurousness	1.8	0.87178	[0, 1, 3, 2, 1, 3, 2, 2, 2, 2] adversarial	-1.5	0.92195	[-2, 0, -1, -3, -2, -2, 0, -1, -2, -2] adversaries	-1.0	0.63246	[-1, -1, -1, -1, 0, -2, -2, -1, -1, 0] adversary	-0.8	1.72047	[-3, -1, -2, -2, -2, 2, 1, -1, 2, -2] adversative	-1.2	0.74833	[-1, -1, -2, -1, -1, -1, -3, -1, 0, -1] adversatively	-0.1	1.37477	[0, -2, -1, 0, -1, -1, 1, 1, 3, -1] adversatives	-1.0	0.7746	[-1, -1, -2, -1, -2, 1, -1, -1, -1, -1] adverse	-1.5	0.80623	[-2, -2, -2, -1, -1, 0, -1, -3, -1, -2] adversely	-0.8	1.6	[-2, -2, 0, -2, -2, 2, -2, 2, -2, 0] adverseness	-0.6	1.35647	[-1, -2, -1, 2, -1, -2, -1, 2, -1, -1] adversities	-1.5	0.67082	[-2, -2, -1, -1, -2, 0, -2, -1, -2, -2] adversity	-1.8	0.6	[-3, -2, -1, -2, -2, -2, -1, -1, -2, -2] affected	-0.6	1.35647	[-1, -2, 0, -2, 0, 0, 2, -2, 1, -2] affection	2.4	0.8	[3, 2, 2, 3, 4, 1, 3, 2, 2, 2] affectional	1.9	1.04403	[3, 3, 2, 0, 2, 2, 2, 3, 2, 0] affectionally	1.5	0.92195	[1, 1, 3, 1, 1, 0, 2, 2, 3, 1] affectionate	1.9	1.13578	[1, 0, 3, 1, 3, 2, 2, 1, 2, 4] affectionately	2.2	0.87178	[4, 1, 1, 2, 2, 2, 3, 3, 2, 2] affectioned	1.8	0.4	[2, 2, 1, 2, 2, 1, 2, 2, 2, 2] affectionless	-2.0	0.44721	[-2, -1, -2, -2, -2, -2, -2, -2, -2, -3] affections	1.5	1.11803	[-1, 3, 2, 2, 1, 1, 2, 1, 3, 1] afflicted	-1.5	1.0247	[-1, -2, -3, -2, 1, -1, -1, -2, -2, -2] affronted	0.2	2.03961	[1, -2, 2, -2, -2, 4, 0, 2, 1, -2] aggravate	-2.5	0.80623	[-3, -3, -2, -3, -2, -4, -3, -2, -2, -1] aggravated	-1.9	1.04403	[-4, -3, -3, -1, -1, -1, -1, -2, -2, -1] aggravates	-1.9	0.83066	[-3, -2, -2, -2, -3, -1, -2, -2, 0, -2] aggravating	-1.2	0.9798	[-2, -2, -1, -2, -2, -1, 0, 1, -1, -2] aggress	-1.3	1.55242	[-2, -2, 2, -2, -1, -3, -3, -1, 1, -2] aggressed	-1.4	0.4899	[-1, -1, -1, -1, -2, -1, -2, -2, -2, -1] aggresses	-0.5	1.43178	[-1, -2, -1, -1, -3, 0, -1, 1, 2, 1] aggressing	-0.6	1.28062	[-1, -2, -1, 0, -1, -2, 2, -2, 1, 0] aggression	-1.2	1.77764	[-2, -2, 1, 1, -4, 2, -2, -2, -2, -2] aggressions	-1.3	1.48661	[-1, -2, -2, -2, -2, -3, 1, -2, 2, -2] aggressive	-0.6	1.28062	[-2, 1, -2, -2, 0, -2, -1, 1, 1, 0] aggressively	-1.3	1.55242	[-1, -2, 3, -2, -3, -2, -1, -1, -2, -2] aggressiveness	-1.8	0.74833	[-1, -2, -1, -2, -2, -1, -3, -1, -3, -2] aggressivities	-1.4	1.28062	[-1, -1, -1, -2, 2, -2, -2, -2, -3, -2] aggressivity	-0.6	1.35647	[-3, -1, 1, 0, 0, 0, -3, -1, 1, 0] aggressor	-0.8	1.32665	[-2, 0, -1, 2, -2, -2, -1, -1, -2, 1] aggressors	-0.9	1.13578	[-2, -2, -1, -1, -1, 1, 1, 0, -2, -2] aghast	-1.9	1.04403	[-2, -3, -1, 0, -2, -1, -4, -2, -2, -2] agitate	-1.7	0.64031	[-2, -2, -3, -1, -1, -1, -2, -1, -2, -2] agitated	-2.0	0.63246	[-2, -2, -2, -2, -1, -3, -3, -2, -2, -1] agitatedly	-1.6	0.8	[-1, -2, -1, -3, -1, -3, -1, -1, -2, -1] agitates	-1.4	0.8	[-2, 0, -1, -2, -1, -1, -3, -1, -2, -1] agitating	-1.8	0.87178	[-2, -1, -1, -1, -2, -3, -1, -3, -3, -1] agitation	-1.0	1.09545	[-2, -1, 1, -1, -2, -1, -2, -1, 1, -2] agitational	-1.2	1.66132	[-3, -3, -2, 1, -1, -2, 0, 2, -1, -3] agitations	-1.3	1.18743	[-1, -2, -1, -3, -2, -3, 0, -1, 1, -1] agitative	-1.3	1.26886	[-2, -2, -1, -2, -1, -3, 1, -2, 1, -2] agitato	-0.1	1.13578	[1, 2, 0, 0, 0, 0, -2, 0, -2, 0] agitator	-1.4	0.8	[-1, -1, -1, -2, -1, -1, -2, -3, -2, 0] agitators	-2.1	0.9434	[-2, -3, -3, -2, -2, -1, -3, -2, 0, -3] agog	1.9	0.7	[2, 1, 3, 3, 2, 1, 2, 2, 1, 2] agonise	-2.1	0.9434	[-3, -3, -2, -3, -1, -3, -1, -3, -1, -1] agonised	-2.3	0.64031	[-2, -3, -3, -2, -2, -2, -2, -3, -1, -3] agonises	-2.4	0.91652	[-1, -4, -3, -3, -2, -2, -2, -3, -1, -3] agonising	-1.5	1.43178	[-3, -2, -3, -3, -1, 1, 0, 0, -1, -3] agonize	-2.3	0.9	[-2, -3, -1, -2, -2, -2, -4, -1, -3, -3] agonized	-2.2	1.249	[-2, -3, -3, -3, -3, -2, -1, -3, 1, -3] agonizes	-2.3	1.18743	[-1, -3, -4, -3, -3, -2, -1, -3, 0, -3] agonizing	-2.7	0.78102	[-3, -2, -2, -2, -4, -3, -3, -2, -4, -2] agonizingly	-2.3	1.48661	[-3, -1, -3, -4, -4, -2, -3, 1, -1, -3] agony	-1.8	1.16619	[-3, -1, -2, -4, -2, -1, 0, -3, -1, -1] agree	1.5	1.11803	[1, 0, 3, 1, 2, 1, 4, 1, 1, 1] agreeability	1.9	1.04403	[1, 1, 1, 3, 3, 2, 1, 2, 4, 1] agreeable	1.8	0.4	[2, 1, 2, 1, 2, 2, 2, 2, 2, 2] agreeableness	1.8	0.9798	[2, 3, 2, 1, 1, 1, 4, 1, 2, 1] agreeablenesses	1.3	0.45826	[2, 1, 1, 2, 1, 2, 1, 1, 1, 1] agreeably	1.6	0.4899	[1, 1, 2, 1, 1, 2, 2, 2, 2, 2] agreed	1.1	0.53852	[1, 1, 2, 1, 1, 2, 1, 0, 1, 1] agreeing	1.4	0.4899	[1, 1, 1, 1, 2, 1, 1, 2, 2, 2] agreement	2.2	0.74833	[2, 1, 1, 3, 3, 3, 2, 2, 2, 3] agreements	1.1	1.13578	[0, 1, 0, 1, 1, 2, 1, 0, 4, 1] agrees	0.8	1.4	[1, 1, 1, 1, 3, 1, -3, 1, 1, 1] alarm	-1.4	0.91652	[-1, -1, -2, -2, -2, -2, -1, 1, -2, -2] alarmed	-1.4	0.4899	[-2, -1, -2, -2, -1, -1, -1, -2, -1, -1] alarming	-0.5	1.62788	[-1, 1, -1, 1, -3, 1, -2, -3, 1, 1] alarmingly	-2.6	0.91652	[-3, -3, -4, -3, -2, -1, -3, -3, -1, -3] alarmism	-0.3	1.26886	[-2, 0, -2, -1, 0, 1, 1, -1, 2, -1] alarmists	-1.1	1.3	[-1, -2, -3, -2, -1, -2, 1, 1, 0, -2] alarms	-1.1	1.04403	[-2, 0, -2, -1, 0, 0, 0, -1, -2, -3] alas	-1.1	1.22066	[-1, -2, -1, 0, -1, 0, 1, -3, -1, -3] alert	1.2	0.87178	[1, 2, 0, 1, 0, 2, 2, 0, 2, 2] alienation	-1.1	1.51327	[-3, -2, -3, -1, -2, -1, 2, -1, 1, -1] alive	1.6	0.8	[1, 1, 2, 3, 3, 2, 1, 1, 1, 1] allergic	-1.2	0.4	[-1, -2, -1, -2, -1, -1, -1, -1, -1, -1] allow	0.9	0.83066	[0, 0, 0, 1, 2, 2, 1, 1, 2, 0] alone	-1.0	0.63246	[-2, -1, -1, -1, -2, -1, 0, -1, -1, 0] alright	1.0	0.7746	[0, 1, 0, 3, 1, 1, 1, 1, 1, 1] amaze	2.5	1.0247	[3, 2, 3, 4, 2, 3, 1, 4, 2, 1] amazed	2.2	1.07703	[1, 0, 3, 2, 2, 4, 3, 3, 2, 2] amazedly	2.1	0.53852	[2, 2, 2, 2, 3, 2, 2, 3, 1, 2] amazement	2.5	0.80623	[3, 3, 2, 4, 1, 2, 2, 3, 2, 3] amazements	2.2	0.87178	[3, 1, 1, 3, 3, 2, 1, 2, 3, 3] amazes	2.2	0.9798	[1, 0, 3, 2, 2, 3, 3, 3, 2, 3] amazing	2.8	0.87178	[1, 4, 3, 2, 4, 2, 3, 3, 3, 3] amazon	0.7	0.64031	[0, 1, 1, 0, 1, 0, 1, 0, 1, 2] amazonite	0.2	0.6	[0, 0, 2, 0, 0, 0, 0, 0, 0, 0] amazons	-0.1	0.3	[0, 0, 0, 0, 0, 0, 0, 0, -1, 0] amazonstone	1.0	1.61245	[0, 0, 0, 0, 4, 4, 2, 0, 0, 0] amazonstones	0.2	0.6	[0, 0, 0, 0, 0, 0, 0, 0, 2, 0] ambitious	2.1	0.53852	[2, 3, 2, 2, 2, 2, 2, 2, 3, 1] ambivalent	0.5	0.92195	[0, 0, -1, 2, 1, 1, 1, -1, 1, 1] amor	3.0	0.63246	[3, 3, 2, 4, 3, 2, 4, 3, 3, 3] amoral	-1.6	0.66332	[-1, -2, 0, -2, -2, -2, -2, -2, -1, -2] amoralism	-0.7	1.34536	[-2, -1, -2, 0, 0, -3, 2, 0, -1, 0] amoralisms	-0.7	1.00499	[-2, 0, 1, -1, -2, -1, -1, 1, -1, -1] amoralities	-1.2	1.6	[-3, 0, 0, -2, 1, -1, 0, -4, -3, 0] amorality	-1.5	0.92195	[0, -1, -1, -2, -1, -3, -1, -3, -2, -1] amorally	-1.0	1.61245	[-2, 0, 1, -4, -1, 1, 1, -2, -2, -2] amoretti	0.2	0.4	[0, 0, 0, 1, 0, 0, 0, 0, 0, 1] amoretto	0.6	0.8	[0, 1, 0, 1, 0, 0, 2, 0, 0, 2] amorettos	0.3	0.64031	[0, 1, 0, 1, 0, 0, 0, 1, 1, -1] amorino	1.2	0.87178	[2, 1, 1, 0, 3, 1, 1, 0, 1, 2] amorist	1.6	1.0198	[3, 0, 0, 2, 2, 1, 3, 1, 2, 2] amoristic	1.0	1.67332	[1, 0, 2, 3, -1, 3, 1, 3, 0, -2] amorists	0.1	0.9434	[0, 2, 0, 0, 1, 0, -2, 0, 0, 0] amoroso	2.3	0.78102	[3, 1, 1, 2, 3, 3, 3, 3, 2, 2] amorous	1.8	0.9798	[3, 1, 2, 2, 1, 1, 3, 0, 2, 3] amorously	2.3	0.78102	[1, 1, 3, 2, 3, 3, 2, 3, 2, 3] amorousness	2.0	0.89443	[2, 3, 1, 2, 0, 2, 2, 3, 3, 2] amorphous	-0.2	0.4	[0, 0, 0, 0, 0, 0, -1, 0, 0, -1] amorphously	0.1	0.7	[-1, 0, 0, 0, 0, 0, 2, 0, 0, 0] amorphousness	0.3	0.45826	[0, 0, 0, 0, 0, 1, 1, 1, 0, 0] amort	-2.1	0.83066	[-3, -1, -2, -2, -2, -2, -2, -4, -1, -2] amortise	0.5	1.43178	[0, 1, 1, 0, -3, 2, 0, 0, 2, 2] amortised	-0.2	1.16619	[-1, -3, 0, 0, 0, 2, 0, 0, 0, 0] amortises	0.1	0.83066	[-1, -1, 0, 0, 0, 2, 1, 0, 0, 0] amortizable	0.5	1.0247	[2, 0, 1, 0, 1, 1, -2, 1, 0, 1] amortization	0.6	1.0198	[0, 0, 0, 0, 1, 0, 0, 0, 3, 2] amortizations	0.2	1.07703	[-1, 1, 0, 0, 1, 0, 2, 1, -2, 0] amortize	-0.1	1.04403	[0, 0, 0, 0, 2, -2, -1, 1, -1, 0] amortized	0.8	0.74833	[0, 2, 0, 0, 1, 1, 1, 0, 1, 2] amortizes	0.6	0.8	[0, 2, 0, 0, 1, 1, 0, 0, 0, 2] amortizing	0.8	1.249	[0, 3, 0, 0, 0, 0, 0, 0, 3, 2] amusable	0.7	1.18743	[2, 1, 1, 1, 1, 1, 2, -2, -1, 1] amuse	1.7	0.78102	[1, 2, 1, 1, 2, 1, 1, 3, 3, 2] amused	1.8	0.6	[1, 2, 2, 2, 2, 2, 1, 2, 3, 1] amusedly	2.2	0.74833	[3, 3, 2, 2, 3, 2, 2, 3, 1, 1] amusement	1.5	1.11803	[3, 2, 3, 1, 2, 2, -1, 1, 1, 1] amusements	1.5	1.0247	[2, 1, 2, 1, 2, 2, 3, -1, 2, 1] amuser	1.1	1.7	[2, 1, -3, 2, 2, 3, -1, 1, 2, 2] amusers	1.3	0.45826	[1, 1, 2, 1, 2, 1, 2, 1, 1, 1] amuses	1.7	0.64031	[1, 2, 1, 2, 2, 2, 1, 2, 3, 1] amusia	0.3	1.48661	[0, -1, 1, -1, 2, 2, -1, -1, -1, 3] amusias	-0.4	0.66332	[-1, 0, 0, 1, 0, 0, -1, -1, -1, -1] amusing	1.6	0.91652	[2, 2, 2, -1, 2, 2, 1, 2, 2, 2] amusingly	0.8	1.249	[1, 2, 1, 1, 1, 2, 2, -2, -1, 1] amusingness	1.8	0.6	[1, 2, 3, 2, 1, 2, 2, 1, 2, 2] amusive	1.7	1.1	[3, 1, 3, 1, 2, 2, 2, 2, -1, 2] anger	-2.7	1.18743	[-1, -2, -3, -2, -4, -4, -2, -1, -4, -4] angered	-2.3	0.78102	[-2, -3, -2, -4, -2, -2, -3, -2, -2, -1] angering	-2.2	0.6	[-3, -2, -1, -3, -2, -2, -3, -2, -2, -2] angerly	-1.9	0.53852	[-2, -2, -1, -1, -3, -2, -2, -2, -2, -2] angers	-2.3	0.9	[-3, -1, -2, -3, -2, -2, -4, -1, -3, -2] angrier	-2.3	0.64031	[-2, -3, -2, -3, -1, -3, -2, -3, -2, -2] angriest	-3.1	0.83066	[-4, -3, -2, -2, -2, -4, -3, -4, -4, -3] angrily	-1.8	0.4	[-2, -1, -2, -2, -2, -1, -2, -2, -2, -2] angriness	-1.7	0.64031	[-2, 0, -2, -2, -1, -2, -2, -2, -2, -2] angry	-2.3	0.9	[-2, -2, -1, -3, -1, -2, -4, -2, -3, -3] anguish	-2.9	0.83066	[-3, -3, -2, -3, -4, -1, -3, -3, -4, -3] anguished	-1.8	1.4	[-3, -4, -1, -3, -2, -1, -1, 1, -1, -3] anguishes	-2.1	1.44568	[-4, -4, -2, -3, 1, -2, -1, -1, -2, -3] anguishing	-2.7	0.9	[-2, -2, -1, -3, -2, -4, -4, -3, -3, -3] animosity	-1.9	1.75784	[-2, -3, -3, -3, -2, 2, 1, -3, -3, -3] annoy	-1.9	0.53852	[-2, -2, -1, -2, -2, -1, -2, -2, -2, -3] annoyance	-1.3	1.55242	[-2, -3, -2, -2, -1, 1, -3, -2, 2, -1] annoyances	-1.8	0.6	[-2, -2, -2, -1, -1, -2, -3, -1, -2, -2] annoyed	-1.6	1.11355	[-3, -1, 1, -3, -1, -1, -2, -2, -2, -2] annoyer	-2.2	0.87178	[-3, -2, -1, -3, -2, -4, -2, -1, -2, -2] annoyers	-1.5	1.0247	[-2, -1, -2, -3, -2, -1, -1, -2, 1, -2] annoying	-1.7	0.64031	[-1, -2, -1, -2, -1, -1, -2, -2, -3, -2] annoys	-1.8	0.6	[-1, -2, -3, -2, -2, -2, -1, -2, -1, -2] antagonism	-1.9	1.04403	[-1, -1, -3, -2, -4, -2, -2, 0, -2, -2] antagonisms	-1.2	1.53623	[0, -2, -2, -2, -2, -2, 3, -2, -1, -2] antagonist	-1.9	0.7	[-3, -1, -2, -3, -2, -2, -1, -2, -2, -1] antagonistic	-1.7	0.9	[-2, -2, -2, 1, -2, -2, -2, -2, -2, -2] antagonistically	-2.2	0.87178	[-2, -3, -4, -2, -2, -3, -2, -2, -1, -1] antagonists	-1.7	0.64031	[-2, -1, -1, -2, -1, -2, -2, -3, -1, -2] antagonize	-2.0	0.44721	[-2, -2, -2, -3, -2, -1, -2, -2, -2, -2] antagonized	-1.4	0.66332	[-2, -1, -2, -2, -1, 0, -2, -1, -1, -2] antagonizes	-0.5	1.9105	[-2, 4, -2, -2, 1, 0, -2, 1, -1, -2] antagonizing	-2.7	0.64031	[-4, -2, -2, -3, -2, -3, -3, -2, -3, -3] anti	-1.3	0.78102	[0, -2, -3, -1, -1, -2, -1, -1, -1, -1] anticipation	0.4	1.28062	[1, 1, -1, 0, -1, 1, 1, 2, -2, 2] anxieties	-0.6	1.85472	[-2, -3, -3, -2, -1, 2, -1, 1, 1, 2] anxiety	-0.7	2.1	[-2, -2, -2, -3, 3, -1, -3, 2, 2, -1] anxious	-1.0	0.44721	[-1, -2, -1, -1, 0, -1, -1, -1, -1, -1] anxiously	-0.9	0.83066	[-1, -1, -2, -1, -1, -1, -1, 0, 1, -2] anxiousness	-1.0	1.48324	[-2, -1, -1, -1, -1, -2, 3, -3, -1, -1] aok	2.0	0.89443	[2, 3, 2, 1, 2, 1, 1, 4, 2, 2] apathetic	-1.2	0.87178	[-1, -1, 0, -2, -2, -1, -1, 0, -3, -1] apathetically	-0.4	1.28062	[-1, -1, 0, -1, -2, 2, -1, -1, 2, -1] apathies	-0.6	1.0198	[-1, -1, -1, -2, 0, 1, -1, -2, 1, 0] apathy	-1.2	1.32665	[-2, -2, -1, 1, -1, -3, -1, 1, -1, -3] apeshit	-0.9	2.21133	[-4, -3, 2, -3, -2, -3, 1, 0, 2, 1] apocalyptic	-3.4	0.66332	[-4, -2, -3, -4, -3, -4, -4, -3, -3, -4] apologise	1.6	0.66332	[2, 3, 2, 2, 1, 1, 2, 1, 1, 1] apologised	0.4	0.91652	[-1, 0, 2, 0, 0, 1, 0, 2, 0, 0] apologises	0.8	1.07703	[2, 0, 2, 0, 0, 1, 0, 3, 0, 0] apologising	0.2	1.6	[0, -1, -1, 2, 2, 1, -2, -1, 3, -1] apologize	0.4	0.8	[1, -1, 0, 1, 1, 1, -1, 1, 0, 1] apologized	1.3	0.64031	[1, 1, 1, 2, 0, 2, 1, 2, 2, 1] apologizes	1.5	0.80623	[2, 1, 1, 2, 0, 2, 1, 2, 3, 1] apologizing	-0.3	1.34536	[1, 2, -1, 1, -1, 0, -3, 0, -1, -1] apology	0.2	1.249	[1, 1, 1, 1, -1, 1, -1, -1, -2, 2] appall	-2.4	0.66332	[-3, -2, -2, -3, -2, -3, -1, -3, -2, -3] appalled	-2.0	0.63246	[-3, -2, -3, -2, -2, -1, -1, -2, -2, -2] appalling	-1.5	1.5	[-2, -4, 1, -1, 1, -1, -2, -3, -2, -2] appallingly	-2.0	1.67332	[-3, -2, 0, -2, 2, -3, -4, -3, -2, -3] appalls	-1.9	1.37477	[0, -3, -2, -3, -3, -2, -1, -3, 1, -3] appease	1.1	0.9434	[1, 1, 1, -1, 2, 0, 1, 2, 2, 2] appeased	0.9	0.53852	[0, 1, 1, 1, 1, 1, 0, 1, 2, 1] appeases	0.9	0.53852	[0, 1, 1, 1, 1, 1, 0, 1, 2, 1] appeasing	1.0	1.09545	[1, 2, -1, 1, 2, 1, 2, 2, 1, -1] applaud	2.0	0.63246	[3, 2, 2, 2, 1, 2, 3, 1, 2, 2] applauded	1.5	0.5	[2, 2, 1, 2, 2, 2, 1, 1, 1, 1] applauding	2.1	0.83066	[2, 2, 4, 1, 2, 2, 2, 1, 2, 3] applauds	1.4	0.66332	[1, 1, 2, 1, 3, 1, 1, 1, 2, 1] applause	1.8	0.6	[2, 1, 1, 2, 3, 2, 1, 2, 2, 2] appreciate	1.7	0.78102	[2, 1, 2, 1, 1, 3, 1, 2, 3, 1] appreciated	2.3	0.78102	[2, 1, 3, 2, 3, 4, 2, 2, 2, 2] appreciates	2.3	0.9	[3, 1, 3, 1, 2, 4, 2, 3, 2, 2] appreciating	1.9	0.7	[1, 1, 2, 2, 2, 2, 1, 3, 2, 3] appreciation	2.3	0.9	[3, 3, 2, 1, 1, 3, 3, 1, 3, 3] appreciations	1.7	0.78102	[3, 2, 1, 2, 2, 1, 3, 1, 1, 1] appreciative	2.6	0.8	[3, 3, 3, 2, 1, 3, 4, 2, 2, 3] appreciatively	1.8	0.6	[2, 2, 2, 2, 2, 1, 3, 2, 1, 1] appreciativeness	1.6	0.8	[2, 1, 1, 2, 1, 1, 3, 3, 1, 1] appreciator	2.6	0.8	[2, 3, 2, 3, 3, 2, 1, 3, 4, 3] appreciators	1.5	0.80623	[1, 3, 1, 3, 1, 1, 2, 1, 1, 1] appreciatory	1.7	0.78102	[1, 2, 1, 3, 1, 3, 2, 2, 1, 1] apprehensible	1.1	1.04403	[2, 0, -1, 3, 1, 2, 1, 1, 1, 1] apprehensibly	-0.2	1.16619	[0, 0, -1, 2, -1, 2, -1, -1, -1, -1] apprehension	-2.1	0.83066	[-1, -2, -2, -1, -2, -3, -3, -3, -1, -3] apprehensions	-0.9	1.04403	[-1, -1, -1, -1, -2, -2, -1, -1, -1, 2] apprehensively	-0.3	1.18743	[-1, -1, -1, 0, 1, -2, -1, 1, -1, 2] apprehensiveness	-0.7	0.9	[-1, 1, -1, -1, 1, -1, -2, -1, -1, -1] approval	2.1	0.53852	[2, 2, 2, 2, 2, 1, 3, 3, 2, 2] approved	1.8	0.6	[1, 1, 1, 2, 3, 2, 2, 2, 2, 2] approves	1.7	0.64031	[1, 1, 1, 2, 3, 2, 2, 2, 2, 1] ardent	2.1	0.7	[3, 3, 2, 2, 3, 1, 2, 2, 1, 2] arguable	-1.0	0.63246	[-1, -1, -2, -1, -1, -2, 0, 0, -1, -1] arguably	-1.0	1.09545	[0, -2, 0, -2, 0, 1, -1, -2, -2, -2] argue	-1.4	0.66332	[-1, -2, -1, -3, -2, -1, -1, -1, -1, -1] argued	-1.5	0.5	[-2, -2, -1, -1, -1, -1, -2, -2, -2, -1] arguer	-1.6	0.4899	[-2, -2, -1, -2, -1, -1, -2, -2, -2, -1] arguers	-1.4	0.4899	[-2, -1, -1, -2, -1, -1, -2, -2, -1, -1] argues	-1.6	0.4899	[-2, -2, -1, -2, -1, -1, -2, -2, -2, -1] arguing	-2.0	0.63246	[-3, -3, -1, -1, -2, -2, -2, -2, -2, -2] argument	-1.5	0.80623	[-3, -1, -1, -1, -1, -2, 0, -2, -2, -2] argumentative	-1.5	0.67082	[-3, -2, -1, -1, -1, -1, -1, -2, -2, -1] argumentatively	-1.8	0.9798	[-4, -2, -1, -1, -3, -1, -2, -2, -1, -1] argumentive	-1.5	0.80623	[-3, -2, -2, -1, 0, -1, -1, -1, -2, -2] arguments	-1.7	0.64031	[-1, -1, -2, -2, -2, -3, -2, -1, -1, -2] arrest	-1.4	1.42829	[-1, 0, -1, 0, -2, -3, 0, -4, -3, 0] arrested	-2.1	1.04403	[-2, -2, -2, -1, -1, -4, -1, -4, -2, -2] arrests	-1.9	0.83066	[-4, -2, -1, -1, -1, -2, -2, -2, -2, -2] arrogance	-2.4	0.66332	[-3, -2, -2, -3, -1, -2, -3, -3, -2, -3] arrogances	-1.9	0.53852	[-1, -2, -3, -2, -2, -2, -2, -1, -2, -2] arrogant	-2.2	0.6	[-2, -2, -2, -3, -2, -3, -3, -2, -1, -2] arrogantly	-1.8	1.4	[-3, -2, 2, -3, -1, -3, -2, -2, -2, -2] ashamed	-2.1	1.3	[-3, -3, -3, -2, -2, 1, -2, -4, -1, -2] ashamedly	-1.7	0.64031	[-2, -2, -2, -1, -2, -3, -1, -2, -1, -1] ass	-2.5	1.43178	[-4, -1, -2, -1, -3, 0, -2, -4, -4, -4] assassination	-2.9	0.9434	[-2, -4, -4, -3, -3, -4, -2, -3, -3, -1] assassinations	-2.7	1.34536	[-4, -2, -3, -2, -3, -1, -4, -4, 0, -4] assault	-2.8	0.9798	[-3, -4, -2, -2, -4, -3, -1, -3, -2, -4] assaulted	-2.4	1.28062	[-3, -3, 1, -3, -3, -3, -1, -3, -3, -3] assaulting	-2.3	1.1	[-4, -3, -2, -1, -2, -1, -1, -4, -3, -2] assaultive	-2.8	0.87178	[-3, -4, -2, -4, -3, -2, -3, -1, -3, -3] assaults	-2.5	0.92195	[-1, -3, -3, -3, -4, -3, -1, -2, -2, -3] asset	1.5	0.80623	[2, 1, 1, 3, 2, 0, 2, 2, 1, 1] assets	0.7	1.00499	[0, 0, 1, 3, 0, 1, 0, 0, 2, 0] assfucking	-2.5	1.43178	[-3, -3, 0, -3, 0, -2, -4, -4, -4, -2] assholes	-2.8	0.74833	[-3, -3, -3, -3, -4, -3, -2, -3, -1, -3] assurance	1.4	0.4899	[1, 1, 2, 2, 1, 1, 1, 2, 2, 1] assurances	1.4	0.4899	[2, 2, 1, 1, 1, 2, 2, 1, 1, 1] assure	1.4	0.4899	[1, 1, 1, 1, 2, 1, 1, 2, 2, 2] assured	1.5	0.67082	[1, 1, 2, 1, 1, 3, 2, 1, 2, 1] assuredly	1.6	0.66332	[1, 1, 1, 3, 2, 2, 2, 1, 2, 1] assuredness	1.4	0.8	[2, 2, 2, 1, 1, 0, 2, 0, 2, 2] assurer	0.9	1.13578	[2, 1, 0, 1, -2, 2, 2, 1, 1, 1] assurers	1.1	0.9434	[2, 0, 0, 1, 3, 2, 0, 1, 1, 1] assures	1.3	0.45826	[2, 1, 1, 1, 2, 1, 2, 1, 1, 1] assurgent	1.3	0.9	[2, 1, 0, 0, 1, 2, 1, 2, 3, 1] assuring	1.6	0.66332	[1, 2, 2, 3, 1, 1, 1, 1, 2, 2] assuror	0.5	0.67082	[0, 1, 0, 1, 2, 0, 0, 1, 0, 0] assurors	0.7	1.34536	[2, -1, 0, 2, 0, -2, 2, 1, 1, 2] astonished	1.6	0.8	[3, 1, 0, 2, 2, 1, 2, 2, 1, 2] astound	1.7	1.26886	[2, 2, 2, 2, 0, 3, 4, 0, 0, 2] astounded	1.8	0.9798	[1, 3, 0, 1, 2, 2, 3, 2, 1, 3] astounding	1.8	1.4	[3, 4, 2, 0, 1, 2, -1, 3, 2, 2] astoundingly	2.1	1.44568	[3, 0, 4, 1, 4, 3, 1, 3, 0, 2] astounds	2.1	1.22066	[3, 3, 1, 0, 3, 2, 3, 3, 0, 3] attachment	1.2	0.9798	[2, 0, 1, 2, 3, 1, 1, 2, 0, 0] attachments	1.1	0.7	[1, 1, 2, 0, 2, 1, 2, 0, 1, 1] attack	-2.1	0.83066	[-1, -3, -2, -3, -3, -1, -2, -1, -2, -3] attacked	-2.0	1.78885	[-2, 3, -2, -2, -3, -3, -3, -4, -2, -2] attacker	-2.7	0.9	[-2, -3, -2, -1, -3, -3, -4, -4, -2, -3] attackers	-2.7	0.64031	[-3, -3, -3, -2, -3, -3, -4, -2, -2, -2] attacking	-2.0	0.89443	[-3, -1, -1, -3, -3, -1, -3, -1, -2, -2] attacks	-1.9	0.9434	[-2, -2, 0, -2, -2, -2, -1, -4, -2, -2] attract	1.5	0.92195	[1, 3, 1, 1, 3, 1, 1, 2, 0, 2] attractancy	0.9	0.7	[1, 0, 2, 1, 0, 2, 1, 1, 0, 1] attractant	1.3	0.9	[0, 1, 0, 1, 1, 2, 3, 2, 1, 2] attractants	1.4	0.8	[1, 1, 0, 2, 2, 2, 3, 1, 1, 1] attracted	1.8	0.6	[1, 3, 1, 2, 2, 2, 2, 2, 2, 1] attracting	2.1	0.83066	[3, 1, 2, 2, 3, 1, 1, 3, 2, 3] attraction	2.0	0.7746	[2, 2, 1, 1, 2, 3, 3, 2, 3, 1] attractions	1.8	0.87178	[1, 3, 0, 2, 2, 2, 2, 3, 1, 2] attractive	1.9	0.53852	[2, 2, 2, 1, 3, 2, 1, 2, 2, 2] attractively	2.2	0.6	[3, 2, 2, 3, 2, 2, 2, 3, 1, 2] attractiveness	1.8	1.16619	[3, 2, 2, 1, 4, 2, 0, 0, 2, 2] attractivenesses	2.1	0.7	[2, 1, 2, 3, 2, 3, 3, 1, 2, 2] attractor	1.2	1.16619	[1, 1, 2, 2, 2, -2, 2, 1, 2, 1] attractors	1.2	0.87178	[1, 1, 2, 2, 0, 1, 3, 1, 0, 1] attracts	1.7	1.00499	[2, 1, 2, 0, 2, 4, 2, 1, 1, 2] audacious	0.9	2.02237	[3, -1, -2, 2, 1, 2, -3, 2, 2, 3] authority	0.3	0.64031	[0, 0, 0, 1, 0, 0, 2, 0, 0, 0] aversion	-1.9	1.04403	[-3, -3, -1, -2, 0, -3, -1, -2, -1, -3] aversions	-1.1	1.13578	[-2, -1, -2, -2, -2, 1, -1, -2, 1, -1] aversive	-1.6	0.66332	[-2, -1, -1, -1, -2, -2, -1, -2, -3, -1] aversively	-0.8	1.53623	[-3, -1, -2, -1, 1, -2, 2, -2, 1, -1] avert	-0.7	0.78102	[-1, 0, -2, -1, -1, 1, -1, 0, -1, -1] averted	-0.3	1.00499	[-1, 1, 0, 0, 1, 0, -2, 0, 0, -2] averts	-0.4	1.0198	[-2, -2, -1, -1, 0, 0, 1, 0, 1, 0] avid	1.2	0.87178	[-1, 2, 2, 1, 1, 1, 2, 2, 1, 1] avoid	-1.2	0.6	[-1, -1, -1, -1, -2, -2, -1, -2, 0, -1] avoidance	-1.7	0.45826	[-2, -2, -1, -1, -1, -2, -2, -2, -2, -2] avoidances	-1.1	0.53852	[-1, -1, -1, -1, -2, 0, -1, -2, -1, -1] avoided	-1.4	0.4899	[-2, -1, -2, -1, -1, -1, -2, -1, -2, -1] avoider	-1.8	0.6	[-2, -1, -3, -1, -2, -2, -2, -1, -2, -2] avoiders	-1.4	0.66332	[-2, -2, -1, -2, -1, -1, 0, -1, -2, -2] avoiding	-1.4	0.91652	[-2, 1, -2, -2, -1, -2, -1, -1, -2, -2] avoids	-0.7	0.45826	[-1, -1, -1, -1, -1, -1, 0, 0, 0, -1] await	0.4	0.4899	[0, 0, 0, 1, 0, 1, 0, 1, 1, 0] awaited	-0.1	0.83066	[1, 0, 0, 0, 1, -1, 0, 0, -2, 0] awaits	0.3	0.78102	[0, 0, 0, 1, 2, 1, 0, 0, -1, 0] award	2.5	0.92195	[2, 1, 1, 3, 3, 2, 4, 3, 3, 3] awardable	2.4	0.8	[3, 3, 3, 1, 3, 1, 2, 3, 2, 3] awarded	1.7	0.78102	[2, 0, 1, 3, 2, 2, 2, 1, 2, 2] awardee	1.8	0.6	[2, 2, 1, 3, 2, 2, 1, 1, 2, 2] awardees	1.2	0.74833	[1, 1, 1, 1, 0, 1, 1, 1, 3, 2] awarder	0.9	1.04403	[2, 0, 1, 3, 0, 2, 1, 0, 0, 0] awarders	1.3	1.18743	[2, 1, 0, 2, 2, 0, 0, 4, 1, 1] awarding	1.9	0.7	[3, 2, 1, 2, 1, 2, 3, 1, 2, 2] awards	2.0	0.44721	[2, 2, 2, 2, 1, 2, 2, 3, 2, 2] awesome	3.1	0.83066	[3, 4, 2, 3, 2, 2, 4, 4, 4, 3] awful	-2.0	2.04939	[-2, -2, -3, -3, -2, -3, 4, -3, -3, -3] awkward	-0.6	1.56205	[-2, -1, -1, -1, -1, -1, -1, -1, 4, -1] awkwardly	-1.3	0.45826	[-1, -1, -2, -1, -1, -1, -1, -2, -2, -1] awkwardness	-0.7	1.41774	[-1, -2, -2, -1, -2, 2, -1, -1, 2, -1] axe	-0.4	0.8	[-2, 0, 0, 0, 0, 0, -1, -1, -1, 1] axed	-1.3	0.78102	[-1, -2, 0, -3, -1, -2, -1, -1, -1, -1] backed	0.1	0.3	[0, 0, 1, 0, 0, 0, 0, 0, 0, 0] backing	0.1	0.83066	[1, 1, -1, 0, 0, 0, -1, 1, -1, 1] backs	-0.2	0.4	[0, 0, -1, 0, 0, 0, 0, -1, 0, 0] bad	-2.5	0.67082	[-3, -2, -4, -3, -2, -2, -3, -2, -2, -2] badass	1.4	1.26491	[1, 3, 2, 0, -1, 1, 3, 2, 1, 2] badly	-2.1	0.7	[-2, -3, -2, -1, -3, -2, -3, -2, -1, -2] bailout	-0.4	1.35647	[-1, 0, 0, 2, -2, -1, -2, 2, -1, -1] bamboozle	-1.5	1.0247	[-3, -2, -2, -1, -2, -2, 1, -1, -1, -2] bamboozled	-1.5	1.11803	[-1, 0, -2, -4, -2, -1, -2, -1, 0, -2] bamboozles	-1.5	1.0247	[-1, 0, -2, -4, -2, -1, -2, -1, -1, -1] ban	-2.6	1.0198	[-4, -3, -4, -3, -2, -1, -3, -2, -1, -3] banish	-1.9	0.9434	[-2, -2, -2, -2, -1, -3, -1, -1, -1, -4] bankrupt	-2.6	1.0198	[-4, -4, -2, -2, -4, -3, -2, -2, -1, -2] bankster	-2.1	0.53852	[-3, -1, -2, -2, -2, -2, -2, -3, -2, -2] banned	-2.0	1.0	[-2, -1, -1, -1, -2, -2, -4, -3, -3, -1] bargain	0.8	1.16619	[1, 1, 1, 1, 0, 1, 2, 3, -1, -1] barrier	-0.5	0.92195	[-2, 0, 0, -2, -1, -1, 1, 0, 0, 0] bashful	-0.1	1.13578	[-1, 2, -1, 0, -1, 2, 0, 0, -1, -1] bashfully	0.2	0.9798	[0, 0, 0, -1, 1, 1, 1, 1, -2, 1] bashfulness	-0.8	0.9798	[-2, -1, 1, 1, -1, -2, -1, -1, -1, -1] bastard	-2.5	0.67082	[-2, -4, -2, -3, -2, -2, -3, -3, -2, -2] bastardies	-1.8	0.87178	[-2, -1, -3, -2, -2, -2, -1, 0, -2, -3] bastardise	-2.1	0.83066	[-2, -1, -4, -2, -2, -3, -2, -2, -2, -1] bastardised	-2.3	0.9	[-3, -2, -3, -1, -2, -3, -4, -1, -2, -2] bastardises	-2.3	1.18743	[-1, -4, -2, -3, -3, 0, -2, -4, -2, -2] bastardising	-2.6	0.8	[-3, -2, -3, -2, -2, -1, -3, -4, -3, -3] bastardization	-2.4	1.28062	[-1, -3, -4, -4, -2, -2, -2, 0, -2, -4] bastardizations	-2.1	0.7	[-2, -1, -3, -3, -2, -2, -3, -1, -2, -2] bastardize	-2.4	0.66332	[-2, -2, -3, -2, -2, -3, -4, -2, -2, -2] bastardized	-2.0	0.7746	[-2, -1, -1, -2, -3, -2, -3, -2, -1, -3] bastardizes	-1.8	0.87178	[-2, -1, -1, -2, -2, -2, -3, -3, 0, -2] bastardizing	-2.3	0.9	[-2, -2, -1, -4, -3, -2, -1, -2, -3, -3] bastardly	-2.7	0.64031	[-3, -3, -2, -2, -3, -2, -2, -4, -3, -3] bastards	-3.0	0.63246	[-4, -2, -3, -3, -4, -3, -3, -3, -3, -2] bastardy	-2.7	1.1	[-4, -3, -2, -2, -4, -3, -3, -3, -3, 0] battle	-1.6	1.28062	[-1, -3, 0, -3, -2, -3, -2, -2, 1, -1] battled	-1.2	0.87178	[0, 0, -2, 0, -2, -1, -2, -1, -2, -2] battlefield	-1.6	0.8	[-2, -2, 0, -1, -2, -1, -3, -2, -1, -2] battlefields	-0.9	1.22066	[-1, -1, 0, 0, -4, -1, 0, 0, 0, -2] battlefront	-1.2	0.87178	[-1, 0, -2, -1, 0, -3, -1, -2, -1, -1] battlefronts	-0.8	1.16619	[0, 0, -2, -1, 0, -3, -1, 1, -2, 0] battleground	-1.7	0.78102	[-2, 0, -2, -2, -1, -2, -2, -3, -1, -2] battlegrounds	-0.6	1.35647	[2, -2, 0, -1, 0, -2, -2, -2, 0, 1] battlement	-0.4	0.8	[0, -1, 0, -1, 0, -2, 0, 1, 0, -1] battlements	-0.4	0.66332	[0, 0, 0, 0, 0, -1, -2, 0, -1, 0] battler	-0.8	1.4	[2, 0, -2, 0, -2, 1, -2, -1, -2, -2] battlers	-0.2	0.9798	[-1, 0, 2, -2, 0, 0, 0, -1, 0, 0] battles	-1.6	0.4899	[-1, -1, -2, -1, -2, -2, -2, -1, -2, -2] battleship	-0.1	1.3	[2, -3, -1, -1, 0, 0, 1, 1, 0, 0] battleships	-0.5	0.80623	[-2, 0, 0, 0, 0, -1, -2, 0, 0, 0] battlewagon	-0.3	0.64031	[0, 0, -1, -2, 0, 0, 0, 0, 0, 0] battlewagons	-0.5	0.67082	[0, 0, 0, -1, -2, -1, 0, -1, 0, 0] battling	-1.1	1.04403	[0, -1, -2, -2, -1, 1, -2, 0, -2, -2] beaten	-1.8	0.6	[-1, -2, -2, -2, -3, -2, -2, -2, -1, -1] beatific	1.8	1.6	[3, 0, 2, 4, -2, 2, 2, 2, 2, 3] beating	-2.0	0.63246	[-2, -3, -2, -2, -1, -1, -2, -3, -2, -2] beaut	1.6	1.2	[2, 2, 2, 0, 1, -1, 2, 3, 3, 2] beauteous	2.5	1.0247	[2, 1, 4, 3, 3, 2, 1, 4, 2, 3] beauteously	2.6	0.8	[2, 3, 3, 3, 2, 1, 3, 4, 2, 3] beauteousness	2.7	1.00499	[1, 3, 4, 3, 4, 1, 2, 3, 3, 3] beautician	1.2	0.9798	[0, 0, 3, 2, 2, 0, 1, 1, 1, 2] beauticians	0.4	0.66332	[0, 1, 0, 0, 0, 0, 1, 0, 2, 0] beauties	2.4	0.8	[2, 3, 3, 3, 3, 1, 2, 1, 3, 3] beautification	1.9	0.7	[2, 2, 2, 1, 2, 1, 3, 1, 2, 3] beautifications	2.4	0.8	[3, 2, 3, 3, 1, 3, 2, 3, 1, 3] beautified	2.1	0.7	[2, 2, 3, 1, 2, 2, 3, 1, 2, 3] beautifier	1.7	0.64031	[2, 1, 2, 1, 2, 1, 3, 1, 2, 2] beautifiers	1.7	0.78102	[3, 3, 1, 2, 1, 2, 2, 1, 1, 1] beautifies	1.8	0.74833	[2, 1, 2, 1, 2, 1, 3, 1, 2, 3] beautiful	2.9	0.7	[2, 3, 2, 3, 2, 3, 4, 4, 3, 3] beautifuler	2.1	0.83066	[2, 0, 2, 2, 3, 2, 2, 2, 3, 3] beautifulest	2.6	0.8	[3, 3, 3, 3, 2, 2, 4, 2, 1, 3] beautifully	2.7	0.64031	[3, 3, 2, 2, 3, 3, 2, 2, 4, 3] beautifulness	2.6	0.8	[3, 3, 3, 2, 3, 4, 3, 2, 2, 1] beautify	2.3	0.45826	[2, 3, 3, 2, 2, 3, 2, 2, 2, 2] beautifying	2.3	0.78102	[1, 2, 1, 3, 2, 2, 3, 3, 3, 3] beauts	1.7	0.78102	[1, 2, 0, 3, 1, 2, 2, 2, 2, 2] beauty	2.8	0.74833	[3, 3, 2, 3, 4, 4, 2, 2, 3, 2] belittle	-1.9	0.53852	[-2, -2, -2, -1, -2, -2, -1, -2, -3, -2] belittled	-2.0	1.0	[-3, -2, -3, -3, -2, -3, -1, -1, -2, 0] beloved	2.3	0.45826	[2, 2, 3, 2, 2, 2, 2, 3, 3, 2] benefic	1.4	0.4899	[2, 2, 1, 1, 1, 2, 2, 1, 1, 1] benefice	0.4	0.66332	[0, 2, 0, 1, 0, 0, 1, 0, 0, 0] beneficed	1.1	0.7	[1, 1, 1, 0, 2, 0, 1, 1, 2, 2] beneficence	2.8	0.87178	[1, 4, 3, 4, 2, 2, 3, 3, 3, 3] beneficences	1.5	0.67082	[1, 1, 2, 2, 1, 1, 1, 3, 2, 1] beneficent	2.3	0.45826	[3, 2, 3, 2, 2, 2, 2, 3, 2, 2] beneficently	2.2	0.6	[3, 2, 3, 3, 2, 2, 1, 2, 2, 2] benefices	1.1	0.83066	[1, 1, 1, 0, 1, 0, 1, 1, 2, 3] beneficial	1.9	0.53852	[2, 2, 1, 2, 2, 1, 3, 2, 2, 2] beneficially	2.4	0.8	[3, 3, 2, 2, 2, 1, 3, 4, 2, 2] beneficialness	1.7	0.64031	[2, 1, 2, 2, 1, 1, 2, 2, 1, 3] beneficiaries	1.8	1.16619	[0, 1, 2, 1, 3, 4, 3, 1, 2, 1] beneficiary	2.1	0.83066	[1, 3, 2, 2, 2, 1, 3, 3, 1, 3] beneficiate	1.0	1.18322	[0, 0, 1, 3, 1, 0, 2, 0, 3, 0] beneficiation	0.4	1.0198	[2, 2, 0, -1, 1, 0, -1, 0, 0, 1] benefit	2.0	0.63246	[2, 3, 1, 2, 2, 3, 2, 1, 2, 2] benefits	1.6	0.4899	[2, 2, 2, 1, 2, 1, 2, 2, 1, 1] benefitted	1.7	0.64031	[2, 2, 1, 2, 2, 2, 2, 2, 0, 2] benefitting	1.9	0.7	[1, 2, 2, 3, 1, 1, 2, 3, 2, 2] benevolence	1.7	1.1	[2, 1, 3, 2, 2, 1, 2, 2, -1, 3] benevolences	1.9	1.64012	[3, 2, -1, -1, 3, 1, 3, 4, 2, 3] benevolent	2.7	0.78102	[2, 2, 3, 2, 4, 2, 3, 2, 4, 3] benevolently	1.4	1.11355	[2, 1, 2, 2, 1, -1, 2, 3, 0, 2] benevolentness	1.2	1.249	[2, 2, 1, -1, 2, 2, 3, -1, 1, 1] benign	1.3	0.9	[1, 3, 2, 2, 1, 1, 2, 0, 0, 1] benignancy	0.6	1.2	[2, -1, -2, 1, 0, 1, 1, 2, 1, 1] benignant	2.2	0.9798	[2, 2, 2, 2, 2, 2, 4, 0, 3, 3] benignantly	1.1	1.3	[3, 2, 3, 0, 1, 1, -1, 2, 0, 0] benignities	0.9	0.9434	[-1, 2, 1, 0, 1, 1, 2, 2, 1, 0] benignity	1.3	1.18743	[2, -2, 2, 2, 2, 1, 2, 1, 1, 2] benignly	0.2	1.07703	[0, -1, 1, 1, 1, 0, 2, 0, -2, 0] bereave	-2.1	1.13578	[0, -2, -2, -3, -3, -4, -3, -2, -1, -1] bereaved	-2.1	0.9434	[-2, -2, -2, -1, -2, -1, -4, -1, -3, -3] bereaves	-1.9	1.22066	[0, -3, 0, -1, -3, -2, -3, -1, -3, -3] bereaving	-1.3	1.84662	[-3, -4, -3, 1, -2, 0, -3, -1, 1, 1] best	3.2	0.6	[2, 4, 4, 3, 4, 3, 3, 3, 3, 3] betray	-3.2	0.6	[-3, -4, -4, -3, -2, -3, -4, -3, -3, -3] betrayal	-2.8	0.74833	[-3, -4, -4, -2, -3, -2, -3, -3, -2, -2] betrayed	-3.0	0.63246	[-2, -3, -3, -3, -4, -4, -3, -3, -2, -3] betraying	-2.5	0.67082	[-2, -2, -3, -2, -3, -2, -4, -2, -2, -3] betrays	-2.5	0.67082	[-2, -3, -3, -2, -2, -2, -4, -2, -3, -2] better	1.9	0.7	[2, 1, 2, 1, 1, 3, 2, 2, 3, 2] bias	-0.4	1.11355	[-1, -2, 0, -2, -1, 1, -1, 1, 0, 1] biased	-1.1	0.83066	[-2, -2, -1, -1, -1, -1, -1, 1, -2, -1] bitch	-2.8	0.87178	[-1, -4, -2, -4, -3, -2, -3, -3, -3, -3] bitched	-2.6	1.0198	[-1, -3, -2, -3, -2, -1, -4, -3, -3, -4] bitcheries	-2.3	0.78102	[-2, -2, -2, -4, -2, -2, -3, -1, -3, -2] bitchery	-2.7	1.18743	[-2, -2, -4, -2, -4, -4, -1, -1, -3, -4] bitches	-2.9	0.9434	[-2, -1, -3, -3, -2, -4, -4, -3, -3, -4] bitchier	-2.0	0.63246	[-2, -3, -1, -2, -3, -1, -2, -2, -2, -2] bitchiest	-3.0	0.7746	[-2, -4, -2, -3, -4, -3, -3, -4, -2, -3] bitchily	-2.6	1.11355	[-4, -4, -2, -2, -1, -4, -1, -2, -3, -3] bitchiness	-2.6	0.66332	[-3, -3, -2, -2, -3, -3, -1, -3, -3, -3] bitching	-1.1	1.64012	[-2, 2, -2, -1, 2, -1, -2, -2, -3, -2] bitchy	-2.3	1.00499	[-4, -1, -2, -3, -3, -2, -1, -1, -3, -3] bitter	-1.8	0.4	[-2, -2, -2, -1, -2, -2, -1, -2, -2, -2] bitterbrush	-0.2	0.74833	[0, 0, 0, 0, -2, 1, 0, 0, -1, 0] bitterbrushes	-0.6	0.8	[-1, 0, -2, -1, -2, 0, 0, 0, 0, 0] bittered	-1.8	1.07703	[-1, -1, -3, -1, -2, -4, -2, 0, -2, -2] bitterer	-1.9	1.04403	[-1, -2, -3, -1, -1, -4, -3, -1, -2, -1] bitterest	-2.3	1.41774	[-4, -4, -2, -1, 1, -2, -3, -3, -2, -3] bittering	-1.2	0.87178	[0, 0, -1, -2, 0, -2, -1, -2, -2, -2] bitterish	-1.6	0.8	[0, -2, -1, -1, -2, -2, -2, -1, -3, -2] bitterly	-2.0	0.63246	[-2, -2, -1, -1, -2, -2, -3, -2, -2, -3] bittern	-0.2	0.6	[0, 0, -2, 0, 0, 0, 0, 0, 0, 0] bitterness	-1.7	0.45826	[-2, -2, -1, -2, -1, -2, -1, -2, -2, -2] bitterns	-0.4	1.11355	[0, 0, 0, -3, 0, 0, 0, 1, 0, -2] bitterroots	-0.2	0.4	[0, 0, 0, -1, -1, 0, 0, 0, 0, 0] bitters	-0.4	0.4899	[-1, -1, -1, 0, 0, 0, 0, -1, 0, 0] bittersweet	-0.3	0.64031	[0, -1, 0, 0, 0, 0, 0, 0, -2, 0] bittersweetness	-0.6	0.91652	[0, 0, 0, -2, 0, -2, 0, 0, -2, 0] bittersweets	-0.2	0.9798	[-2, 1, 0, 0, 0, -2, 0, 0, 0, 1] bitterweeds	-0.5	0.67082	[0, -2, 0, -1, -1, 0, 0, -1, 0, 0] bizarre	-1.3	1.00499	[-2, 0, 0, -2, 0, -1, -3, -2, -1, -2] blah	-0.4	1.49666	[-2, -1, -1, -1, -1, -1, -1, 3, 2, -1] blam	-0.2	1.16619	[-1, 0, 0, -1, -1, -2, -1, 1, 2, 1] blamable	-1.8	0.4	[-2, -2, -2, -2, -1, -1, -2, -2, -2, -2] blamably	-1.8	0.4	[-2, -2, -2, -2, -1, -1, -2, -2, -2, -2] blame	-1.4	1.42829	[-4, -2, -2, -1, -1, -1, -2, 2, -2, -1] blamed	-2.1	0.53852	[-2, -2, -2, -2, -3, -2, -2, -2, -3, -1] blameful	-1.7	0.45826	[-2, -2, -2, -2, -2, -2, -1, -1, -2, -1] blamefully	-1.6	0.66332	[-1, -2, -1, -1, -2, -1, -1, -2, -2, -3] blameless	0.7	1.73494	[3, 1, 2, 3, -2, 1, -1, 1, 1, -2] blamelessly	0.9	1.37477	[2, 0, 2, 0, 1, -1, 1, 4, 0, 0] blamelessness	0.6	1.35647	[0, 2, 1, 2, 1, 0, 1, -3, 1, 1] blamer	-2.1	0.83066	[-2, -2, -1, -2, -3, -3, -3, -1, -1, -3] blamers	-2.0	0.63246	[-3, -2, -2, -3, -1, -2, -2, -1, -2, -2] blames	-1.7	0.45826	[-2, -2, -1, -2, -2, -2, -2, -1, -1, -2] blameworthiness	-1.6	0.66332	[-2, -2, -1, -2, -2, -1, -3, -1, -1, -1] blameworthy	-2.3	0.78102	[-3, -3, -2, -2, -2, -1, -1, -3, -3, -3] blaming	-2.2	0.6	[-2, -3, -1, -3, -2, -2, -3, -2, -2, -2] bless	1.8	0.6	[3, 2, 2, 1, 2, 2, 1, 2, 2, 1] blessed	2.9	0.3	[2, 3, 3, 3, 3, 3, 3, 3, 3, 3] blesseder	2.0	0.63246	[3, 3, 2, 2, 1, 1, 2, 2, 2, 2] blessedest	2.8	0.87178	[2, 4, 1, 4, 3, 3, 2, 3, 3, 3] blessedly	1.7	1.1	[2, 2, 1, -1, 3, 2, 3, 1, 2, 2] blessedness	1.6	1.35647	[2, 2, 2, 2, 2, 3, 3, -1, -1, 2] blesser	2.6	0.66332	[1, 3, 2, 3, 3, 3, 2, 3, 3, 3] blessers	1.9	0.7	[2, 2, 1, 2, 2, 2, 3, 1, 3, 1] blesses	2.6	0.66332	[1, 3, 3, 3, 3, 3, 2, 3, 2, 3] blessing	2.2	1.07703	[3, 1, 0, 3, 1, 3, 2, 3, 3, 3] blessings	2.5	0.92195	[3, 3, 3, 2, 1, 3, 2, 3, 4, 1] blind	-1.7	1.00499	[-4, -1, -1, -2, -1, -1, -3, -2, -1, -1] bliss	2.7	0.78102	[3, 3, 3, 2, 1, 2, 4, 3, 3, 3] blissful	2.9	0.83066	[4, 4, 2, 3, 3, 3, 1, 3, 3, 3] blithe	1.2	1.16619	[2, 2, -1, 1, 1, 2, 2, 2, -1, 2] block	-1.9	1.13578	[-3, -2, -1, -2, 0, 0, -3, -2, -3, -3] blockbuster	2.9	0.9434	[3, 4, 3, 2, 3, 4, 3, 2, 1, 4] blocked	-1.1	1.13578	[-1, 0, 0, -1, -2, -1, -1, -4, -1, 0] blocking	-1.6	0.91652	[-1, -1, -1, -1, -2, -2, -4, -1, -2, -1] blocks	-0.9	1.13578	[-1, 0, -1, -2, -2, -2, -1, -1, 2, -1] bloody	-1.9	0.7	[-2, -2, -2, 0, -2, -2, -3, -2, -2, -2] blurry	-0.4	1.28062	[-1, -1, -1, -1, 2, -2, -1, 2, 0, -1] bold	1.6	0.66332	[2, 2, 2, 2, 1, 2, 0, 2, 1, 2] bolder	1.2	0.6	[2, 1, 1, 1, 1, 2, 1, 2, 0, 1] boldest	1.6	1.11355	[1, 3, 2, 3, 0, 0, 2, 3, 1, 1] boldface	0.3	0.64031	[1, 0, 0, 0, 0, 0, 0, 2, 0, 0] boldfaced	-0.1	1.22066	[0, 0, 0, 2, -1, -2, 2, -1, -1, 0] boldfaces	0.1	1.3	[0, 0, 0, 2, -2, -2, 2, 1, 0, 0] boldfacing	0.1	0.7	[0, 0, -1, 2, 0, 0, 0, 0, 0, 0] boldly	1.5	1.62788	[3, -2, -1, 1, 2, 3, 2, 3, 2, 2] boldness	1.5	1.0247	[0, 1, 3, 1, 2, 0, 3, 1, 2, 2] boldnesses	0.9	0.83066	[0, 0, 1, 0, 2, 1, 1, 2, 0, 2] bolds	1.3	0.78102	[2, 2, 1, 1, 0, 2, 0, 2, 1, 2] bomb	-2.2	0.87178	[-2, -2, -1, -3, -4, -3, -2, -1, -2, -2] bonus	2.5	0.67082	[2, 2, 2, 3, 4, 3, 2, 2, 3, 2] bonuses	2.6	0.91652	[2, 2, 3, 4, 3, 4, 3, 1, 2, 2] boost	1.7	0.64031	[1, 1, 2, 2, 2, 3, 1, 1, 2, 2] boosted	1.5	1.5	[-1, 1, 0, 2, 1, 2, 3, 3, 4, 0] boosting	1.4	0.91652	[1, 1, 3, 0, 2, 2, 0, 2, 1, 2] boosts	1.3	0.9	[1, 1, 1, 1, 3, 0, 1, 1, 3, 1] bore	-1.0	0.44721	[-1, -2, 0, -1, -1, -1, -1, -1, -1, -1] boreal	-0.3	0.9	[0, 0, 0, 0, 1, -2, 0, 0, -2, 0] borecole	-0.2	0.74833	[1, 0, 0, 0, -1, -2, 0, 0, 0, 0] borecoles	-0.3	0.45826	[-1, 0, 0, 0, 0, 0, -1, 0, -1, 0] bored	-1.1	0.9434	[-2, -1, -2, -1, 0, 0, -3, 0, -1, -1] boredom	-1.3	0.45826	[-1, -1, -1, -1, -2, -1, -1, -2, -2, -1] boredoms	-1.1	0.83066	[-1, -1, -1, -2, 1, -1, -2, -1, -1, -2] boreen	0.1	0.3	[0, 0, 0, 0, 0, 1, 0, 0, 0, 0] boreens	0.2	0.6	[0, 0, 0, 2, 0, 0, 0, 0, 0, 0] boreholes	-0.2	0.74833	[0, 0, 0, 0, 0, 1, -1, 0, -2, 0] borer	-0.4	0.4899	[0, -1, 0, 0, -1, -1, 0, 0, 0, -1] borers	-1.2	0.9798	[-1, 0, -2, -1, -1, -3, -2, 0, -2, 0] bores	-1.3	0.78102	[-2, -1, -2, -1, -1, -1, -3, 0, -1, -1] borescopes	-0.1	0.83066	[-1, 0, -1, 2, 0, 0, 0, 0, -1, 0] boresome	-1.3	0.45826	[-2, -1, -1, -1, -1, -1, -2, -1, -2, -1] boring	-1.3	0.45826	[-1, -1, -1, -1, -1, -2, -1, -1, -2, -2] bother	-1.4	0.91652	[-1, -1, -1, -2, -3, -3, -1, -1, -1, 0] botheration	-1.7	0.64031	[-1, -1, -1, -2, -2, -1, -2, -2, -2, -3] botherations	-1.3	0.64031	[-2, -2, -2, -1, -2, 0, -1, -1, -1, -1] bothered	-1.3	0.45826	[-1, -1, -2, -1, -2, -1, -1, -1, -1, -2] bothering	-1.6	0.4899	[-2, -1, -2, -2, -1, -1, -1, -2, -2, -2] bothers	-0.8	0.9798	[-1, -2, -1, -1, 2, -1, -1, -1, -1, -1] bothersome	-1.3	0.45826	[-2, -1, -1, -1, -1, -1, -2, -2, -1, -1] boycott	-1.3	0.45826	[-2, -1, -1, -1, -1, -2, -1, -1, -2, -1] boycotted	-1.7	0.64031	[-1, -2, -2, -3, -1, -1, -2, -2, -2, -1] boycotting	-1.7	0.64031	[-2, -2, -2, 0, -2, -1, -2, -2, -2, -2] boycotts	-1.4	0.91652	[-2, -2, -2, -2, -1, -2, -1, 1, -1, -2] brainwashing	-1.5	1.28452	[-2, -2, -2, -3, -1, -2, 2, -1, -2, -2] brave	2.4	0.8	[2, 3, 4, 3, 1, 3, 2, 2, 2, 2] braved	1.9	0.83066	[3, 1, 3, 1, 1, 2, 3, 2, 2, 1] bravely	2.3	0.78102	[1, 3, 2, 2, 2, 4, 2, 2, 2, 3] braver	2.4	0.8	[3, 2, 2, 1, 4, 2, 3, 3, 2, 2] braveries	2.0	1.0	[2, 4, 2, 3, 1, 1, 2, 3, 1, 1] bravery	2.2	0.74833	[1, 2, 2, 2, 3, 2, 3, 3, 1, 3] braves	1.9	0.83066	[3, 1, 3, 1, 2, 2, 3, 2, 1, 1] bravest	2.3	0.64031	[1, 3, 3, 2, 3, 2, 3, 2, 2, 2] breathtaking	2.0	1.26491	[3, 1, 3, 2, -1, 1, 2, 3, 3, 3] bribe	-0.8	1.98997	[-3, 0, -1, -2, -1, -2, -4, 1, 3, 1] bright	1.9	0.7	[2, 2, 1, 2, 1, 2, 1, 3, 3, 2] brighten	1.9	0.7	[2, 1, 1, 2, 3, 2, 1, 2, 2, 3] brightened	2.1	0.83066	[2, 3, 1, 1, 2, 2, 3, 1, 3, 3] brightener	1.0	1.18322	[0, 0, 0, 1, 0, 1, 2, 0, 3, 3] brighteners	1.0	0.89443	[0, 1, 0, 1, 1, 3, 0, 1, 2, 1] brightening	2.5	0.92195	[2, 3, 2, 1, 2, 3, 4, 4, 2, 2] brightens	1.5	0.5	[2, 1, 1, 2, 2, 1, 2, 2, 1, 1] brighter	1.6	0.66332	[1, 1, 1, 2, 2, 2, 1, 2, 1, 3] brightest	3.0	0.63246	[3, 3, 2, 3, 4, 3, 2, 3, 4, 3] brightly	1.5	0.67082	[2, 3, 1, 2, 1, 1, 2, 1, 1, 1] brightness	1.6	0.91652	[2, 2, 1, 1, 1, 3, 3, 0, 2, 1] brightnesses	1.4	0.91652	[2, 3, 1, 2, 1, 1, 0, 0, 2, 2] brights	0.4	0.66332	[0, 0, 2, 0, 0, 1, 0, 0, 1, 0] brightwork	1.1	0.83066	[1, 0, 1, 2, 1, 0, 3, 1, 1, 1] brilliance	2.9	0.83066	[4, 3, 2, 4, 4, 3, 2, 3, 2, 2] brilliances	2.9	0.83066	[3, 4, 3, 4, 4, 2, 3, 2, 2, 2] brilliancies	2.3	1.18743	[1, 4, 1, 3, 3, 2, 1, 3, 4, 1] brilliancy	2.6	1.0198	[4, 3, 2, 4, 2, 3, 1, 3, 1, 3] brilliant	2.8	0.6	[2, 3, 3, 2, 3, 3, 4, 2, 3, 3] brilliantine	0.8	1.16619	[-1, 3, 1, 0, 1, 0, 2, 0, 2, 0] brilliantines	2.0	1.34164	[0, 1, 4, 2, 3, 1, 3, 0, 3, 3] brilliantly	3.0	0.44721	[3, 2, 3, 3, 3, 3, 3, 3, 4, 3] brilliants	1.9	0.83066	[3, 1, 2, 1, 2, 1, 3, 2, 1, 3] brisk	0.6	0.8	[0, 0, 0, 0, 1, 1, 0, 2, 0, 2] broke	-1.8	0.4	[-2, -2, -2, -2, -1, -2, -2, -1, -2, -2] broken	-2.1	0.53852	[-2, -2, -2, -2, -3, -2, -1, -3, -2, -2] brooding	0.1	1.3	[3, 0, -1, -1, -1, 1, 1, -1, 1, -1] brutal	-3.1	0.7	[-3, -3, -4, -2, -3, -4, -3, -4, -3, -2] brutalise	-2.7	1.1	[-4, -3, -3, -4, -3, -2, -2, -3, 0, -3] brutalised	-2.9	0.83066	[-3, -3, -2, -3, -3, -4, -4, -1, -3, -3] brutalises	-3.2	0.4	[-3, -3, -3, -3, -3, -4, -4, -3, -3, -3] brutalising	-2.8	0.74833	[-3, -3, -4, -3, -2, -3, -3, -3, -1, -3] brutalities	-2.6	1.0198	[-4, -2, -2, -4, -2, -4, -2, -3, -1, -2] brutality	-3.0	0.63246	[-2, -3, -4, -2, -3, -3, -3, -4, -3, -3] brutalization	-2.1	2.16564	[-3, -2, -4, -2, -4, -4, 2, -3, 2, -3] brutalizations	-2.3	0.64031	[-2, -2, -3, -2, -1, -3, -3, -2, -2, -3] brutalize	-2.9	0.7	[-3, -4, -3, -3, -2, -2, -3, -4, -2, -3] brutalized	-2.4	0.4899	[-3, -2, -2, -3, -2, -2, -3, -3, -2, -2] brutalizes	-3.2	0.6	[-4, -4, -3, -2, -3, -4, -3, -3, -3, -3] brutalizing	-3.4	0.66332	[-4, -3, -4, -3, -4, -4, -3, -4, -2, -3] brutally	-3.0	0.44721	[-3, -3, -3, -3, -3, -3, -3, -2, -3, -4] bullied	-3.1	0.9434	[-4, -4, -4, -2, -2, -4, -4, -3, -2, -2] bullshit	-2.8	0.6	[-3, -3, -3, -3, -3, -4, -2, -3, -2, -2] bully	-2.2	1.6	[-2, -3, -3, -4, -2, -1, 2, -3, -3, -3] bullying	-2.9	0.7	[-3, -2, -3, -2, -4, -2, -3, -3, -4, -3] bummer	-1.6	0.8	[-3, -1, -1, -1, -3, -1, -1, -2, -2, -1] buoyant	0.9	0.83066	[0, 1, 1, 2, 1, 0, 0, 2, 0, 2] burden	-1.9	0.53852	[-2, -2, -1, -2, -3, -2, -1, -2, -2, -2] burdened	-1.7	0.45826	[-2, -2, -2, -2, -1, -2, -1, -2, -2, -1] burdener	-1.3	0.45826	[-1, -1, -2, -1, -1, -1, -2, -1, -2, -1] burdeners	-1.7	1.00499	[-2, -2, -2, -1, -3, -2, 0, 0, -2, -3] burdening	-1.4	0.66332	[-2, -1, -2, -2, -1, -1, -1, 0, -2, -2] burdens	-1.5	0.5	[-2, -2, -1, -1, -2, -1, -1, -1, -2, -2] burdensome	-1.8	0.9798	[-1, -1, -3, -2, -1, -2, -2, -1, -4, -1] bwahaha	0.4	1.0198	[0, 1, 0, 1, 0, 2, -1, -1, 2, 0] bwahahah	2.5	0.92195	[3, 4, 2, 2, 2, 3, 1, 2, 2, 4] calm	1.3	0.78102	[1, 1, 0, 1, 2, 3, 2, 1, 1, 1] calmative	1.1	0.9434	[3, 2, -1, 1, 1, 1, 1, 1, 1, 1] calmatives	0.5	0.80623	[-1, 1, 0, 1, 0, 0, 1, 2, 0, 1] calmed	1.6	0.4899	[2, 2, 2, 1, 1, 1, 2, 1, 2, 2] calmer	1.5	0.67082	[1, 2, 3, 1, 1, 1, 2, 1, 2, 1] calmest	1.6	0.8	[3, 2, 2, 2, 1, 1, 0, 2, 1, 2] calming	1.7	0.78102	[2, 1, 3, 2, 2, 1, 3, 1, 1, 1] calmly	1.3	0.9	[0, 0, 1, 3, 2, 2, 1, 1, 2, 1] calmness	1.7	0.9	[1, 1, 1, 2, 2, 2, 1, 4, 1, 2] calmnesses	1.6	0.4899	[1, 2, 1, 2, 1, 2, 2, 2, 1, 2] calmodulin	0.2	0.4	[0, 0, 0, 0, 0, 0, 1, 0, 0, 1] calms	1.3	0.64031	[2, 1, 1, 2, 0, 1, 1, 2, 2, 1] can't stand	-2.0	0.63246	[-2, -2, -2, -1, -1, -2, -3, -2, -2, -3] cancel	-1.0	0.63246	[-2, -1, -1, -1, -1, 0, -1, 0, -2, -1] cancelled	-1.0	0.44721	[-1, -1, -1, -1, 0, -1, -1, -2, -1, -1] cancelling	-0.8	0.74833	[0, 0, -1, 0, -1, -1, 0, -2, -1, -2] cancels	-0.9	0.53852	[0, -1, 0, -1, -1, -1, -1, -1, -2, -1] cancer	-3.4	0.8	[-2, -4, -3, -4, -4, -2, -3, -4, -4, -4] capable	1.6	0.4899	[1, 2, 2, 2, 1, 1, 2, 2, 1, 2] captivated	1.6	0.4899	[2, 1, 2, 2, 2, 2, 1, 2, 1, 1] care	2.2	0.74833	[2, 1, 2, 1, 2, 2, 3, 3, 3, 3] cared	1.8	0.74833	[1, 2, 1, 3, 1, 2, 2, 2, 3, 1] carefree	1.7	0.64031	[1, 1, 2, 2, 2, 2, 1, 1, 2, 3] careful	0.6	1.11355	[3, 0, 0, 0, 1, 0, -1, 2, 1, 0] carefully	0.5	0.67082	[1, 0, 1, 1, 0, 1, 0, 1, 1, -1] carefulness	2.0	0.44721	[3, 2, 2, 1, 2, 2, 2, 2, 2, 2] careless	-1.5	0.5	[-2, -1, -1, -2, -2, -1, -2, -2, -1, -1] carelessly	-1.0	0.44721	[-1, -1, -1, -2, -1, 0, -1, -1, -1, -1] carelessness	-1.4	0.4899	[-2, -1, -1, -2, -1, -2, -1, -1, -2, -1] carelessnesses	-1.6	1.11355	[-4, -2, -2, -3, -1, 0, -1, -1, -1, -1] cares	2.0	0.7746	[2, 3, 1, 3, 1, 2, 2, 2, 3, 1] caring	2.2	0.4	[2, 3, 2, 2, 2, 2, 2, 3, 2, 2] casual	0.8	0.74833	[1, 1, 0, 1, 0, 2, 0, 1, 2, 0] casually	0.7	1.00499	[1, 0, 0, 0, 1, 0, 0, 3, 2, 0] casualty	-2.4	0.91652	[-4, -3, -3, -2, -1, -2, -3, -1, -2, -3] catastrophe	-3.4	0.4899	[-3, -3, -3, -4, -4, -3, -3, -3, -4, -4] catastrophic	-2.2	2.22711	[-3, -2, -4, -4, -4, -3, -2, -4, 2, 2] cautious	-0.4	0.66332	[0, 1, -1, 0, 0, 0, -1, -1, -1, -1] celebrate	2.7	1.00499	[4, 4, 3, 2, 4, 2, 2, 2, 3, 1] celebrated	2.7	0.78102	[2, 3, 3, 2, 3, 4, 3, 3, 1, 3] celebrates	2.7	0.64031	[2, 3, 3, 2, 2, 3, 3, 3, 4, 2] celebrating	2.7	0.64031	[3, 3, 4, 2, 2, 2, 3, 3, 2, 3] censor	-2.0	1.34164	[0, -3, -2, -3, -3, 0, -4, -1, -1, -3] censored	-0.6	1.68523	[-1, -1, -1, 2, -3, -2, -1, -1, -1, 3] censors	-1.2	1.07703	[-1, 0, -3, 0, -1, 0, -1, -2, -1, -3] certain	1.1	0.7	[1, 0, 2, 0, 2, 2, 1, 1, 1, 1] certainly	1.4	1.0198	[3, 2, 0, 1, 3, 1, 0, 1, 1, 2] certainties	0.9	1.44568	[0, -2, 4, 0, 1, 1, 1, 1, 2, 1] certainty	1.0	0.89443	[2, 1, 0, 1, 0, 0, 2, 2, 2, 0] chagrin	-1.9	0.53852	[-1, -2, -3, -2, -1, -2, -2, -2, -2, -2] chagrined	-1.4	1.2	[-1, -2, 2, -1, -2, -2, -2, -2, -2, -2] challenge	0.3	1.00499	[1, 0, -1, 1, 1, -1, 1, 0, 2, -1] challenged	-0.4	1.62481	[0, -2, 1, -1, -3, -1, 3, -1, 1, -1] challenger	0.5	1.43178	[0, 0, 2, -1, -2, 1, 3, 0, 2, 0] challengers	0.4	1.56205	[0, -2, -1, 1, 1, 2, 3, 2, -1, -1] challenges	0.3	1.48661	[0, -1, 2, -1, -2, 0, 3, 0, 2, 0] challenging	0.6	0.91652	[0, 0, 0, 1, 1, -1, 0, 2, 2, 1] challengingly	-0.6	1.68523	[0, -1, -2, 1, -3, 2, -2, -1, 2, -2] champ	2.1	0.83066	[2, 2, 2, 3, 2, 3, 2, 0, 3, 2] champac	-0.2	0.6	[0, 0, -2, 0, 0, 0, 0, 0, 0, 0] champagne	1.2	1.07703	[1, 2, 2, 3, 0, 2, 0, 0, 2, 0] champagnes	0.5	0.92195	[0, 0, 0, 0, 0, 1, 1, 3, 0, 0] champaign	0.2	0.6	[0, 0, 0, 0, 2, 0, 0, 0, 0, 0] champaigns	0.5	0.67082	[1, 0, 0, 0, 0, 0, 0, 1, 2, 1] champaks	-0.2	0.6	[0, 0, 0, 0, 0, 0, -2, 0, 0, 0] champed	1.0	0.63246	[1, 1, 2, 1, 1, 2, 1, 0, 0, 1] champer	-0.1	0.53852	[0, -1, 1, 0, 0, 0, 0, -1, 0, 0] champers	0.5	0.67082	[1, 0, 0, 0, 0, 0, 0, 1, 1, 2] champerties	-0.1	0.83066	[0, -1, 1, 1, 0, 0, 0, 0, -2, 0] champertous	0.3	0.78102	[0, 0, 0, 1, -1, 2, 1, 0, 0, 0] champerty	-0.2	1.32665	[-2, -1, 0, -1, 0, 0, 0, -2, 2, 2] champignon	0.4	0.8	[0, 0, 0, 0, 0, 2, 0, 2, 0, 0] champignons	0.2	0.6	[0, 2, 0, 0, 0, 0, 0, 0, 0, 0] champing	0.7	1.34536	[0, 2, 0, 3, 1, 1, 2, 0, -2, 0] champion	2.9	0.83066	[3, 2, 3, 4, 4, 3, 2, 2, 4, 2] championed	1.2	1.53623	[2, 1, 3, 1, 1, -3, 2, 2, 1, 2] championing	1.8	0.9798	[1, 3, 2, 0, 3, 1, 2, 2, 1, 3] champions	2.4	1.42829	[4, 0, 0, 3, 1, 3, 4, 3, 3, 3] championship	1.9	1.04403	[3, 1, 1, 3, 2, 1, 3, 3, 0, 2] championships	2.2	0.74833	[2, 2, 1, 2, 3, 2, 4, 2, 2, 2] champs	1.8	0.4	[2, 2, 2, 2, 1, 2, 1, 2, 2, 2] champy	1.0	1.0	[3, 0, 0, 0, 0, 2, 1, 2, 1, 1] chance	1.0	0.7746	[1, 1, 0, 0, 0, 2, 1, 2, 1, 2] chances	0.8	0.4	[0, 1, 1, 0, 1, 1, 1, 1, 1, 1] chaos	-2.7	0.9	[-2, -2, -3, -1, -4, -3, -3, -2, -3, -4] chaotic	-2.2	1.4	[-3, -2, -1, -2, -3, 1, -2, -2, -4, -4] charged	-0.8	0.87178	[-1, -2, -2, -1, -1, 0, -1, 1, 0, -1] charges	-1.1	0.7	[-2, -2, -2, -1, -1, 0, -1, -1, 0, -1] charitable	1.7	0.64031	[1, 2, 1, 2, 2, 1, 2, 1, 3, 2] charitableness	1.9	0.9434	[3, 1, 1, 3, 1, 3, 3, 2, 1, 1] charitablenesses	1.6	1.74356	[2, 2, 3, 4, 1, -1, -2, 3, 2, 2] charitably	1.4	0.66332	[1, 2, 1, 2, 2, 1, 0, 1, 2, 2] charities	2.2	0.6	[3, 3, 2, 2, 1, 2, 2, 3, 2, 2] charity	1.8	0.87178	[1, 3, 2, 2, 2, 1, 2, 0, 2, 3] charm	1.7	0.78102	[3, 1, 1, 3, 2, 2, 1, 1, 1, 2] charmed	2.0	0.63246	[3, 1, 2, 2, 2, 3, 1, 2, 2, 2] charmer	1.9	0.53852	[3, 2, 2, 2, 2, 2, 1, 1, 2, 2] charmers	2.1	0.83066	[2, 1, 2, 2, 4, 3, 2, 1, 2, 2] charmeuse	0.3	0.78102	[0, 0, 0, 1, 0, 2, 1, 0, -1, 0] charmeuses	0.4	0.66332	[0, 0, 1, 0, 1, 0, 0, 0, 0, 2] charming	2.8	0.4	[3, 3, 3, 3, 3, 3, 2, 3, 2, 3] charminger	1.5	0.67082	[2, 3, 1, 2, 1, 1, 2, 1, 1, 1] charmingest	2.4	0.66332	[2, 3, 3, 1, 3, 2, 3, 3, 2, 2] charmingly	2.2	0.87178	[2, 2, 2, 1, 2, 2, 3, 3, 4, 1] charmless	-1.8	0.87178	[-3, -1, -3, -1, -1, -1, -2, -1, -3, -2] charms	1.9	0.7	[1, 2, 3, 2, 1, 2, 3, 1, 2, 2] chastise	-2.5	0.92195	[-4, -3, -2, -1, -4, -3, -2, -2, -2, -2] chastised	-2.2	1.16619	[-2, -3, -2, -4, -1, -1, -3, 0, -3, -3] chastises	-1.7	1.61555	[-3, -3, -3, -1, 1, -2, 1, -1, -2, -4] chastising	-1.7	0.78102	[-2, -3, -2, -2, -2, 0, -1, -1, -2, -2] cheat	-2.0	0.7746	[-2, -3, -3, -2, -2, -1, -1, -1, -2, -3] cheated	-2.3	0.64031	[-2, -4, -2, -2, -2, -2, -3, -2, -2, -2] cheater	-2.5	0.67082	[-2, -4, -2, -3, -2, -2, -3, -2, -3, -2] cheaters	-1.9	0.83066	[-2, -2, -2, -1, -1, -4, -2, -1, -2, -2] cheating	-2.6	0.91652	[-2, -3, -3, -2, -4, -4, -3, -2, -1, -2] cheats	-1.8	0.6	[-3, -1, -2, -1, -2, -1, -2, -2, -2, -2] cheer	2.3	0.64031	[2, 1, 2, 2, 2, 3, 3, 3, 2, 3] cheered	2.3	0.78102	[2, 3, 3, 4, 2, 1, 2, 2, 2, 2] cheerer	1.7	0.45826	[1, 2, 2, 2, 1, 1, 2, 2, 2, 2] cheerers	1.8	0.87178	[2, 2, 3, 2, 1, 2, 0, 1, 3, 2] cheerful	2.5	0.67082	[3, 2, 3, 2, 2, 2, 4, 2, 3, 2] cheerfuller	1.9	0.83066	[3, 3, 2, 3, 2, 1, 1, 2, 1, 1] cheerfullest	3.2	0.87178	[4, 4, 4, 4, 3, 2, 2, 3, 2, 4] cheerfully	2.1	0.83066	[3, 2, 2, 2, 1, 3, 1, 3, 1, 3] cheerfulness	2.1	0.9434	[3, 2, 1, 2, 3, 4, 1, 2, 1, 2] cheerier	2.6	0.4899	[2, 2, 3, 3, 2, 3, 3, 2, 3, 3] cheeriest	2.2	0.6	[3, 2, 3, 1, 2, 2, 3, 2, 2, 2] cheerily	2.5	0.67082	[3, 3, 2, 3, 2, 4, 2, 2, 2, 2] cheeriness	2.5	0.67082	[3, 2, 4, 2, 3, 2, 3, 2, 2, 2] cheering	2.3	0.64031	[3, 3, 2, 1, 3, 2, 2, 2, 3, 2] cheerio	1.2	0.6	[2, 1, 1, 1, 2, 1, 1, 1, 2, 0] cheerlead	1.7	0.78102	[1, 2, 0, 2, 2, 2, 2, 3, 1, 2] cheerleader	0.9	0.9434	[1, 1, 0, 2, 1, 0, 0, 1, 0, 3] cheerleaders	1.2	1.07703	[2, 0, 0, 1, 1, 0, 3, 3, 1, 1] cheerleading	1.2	1.07703	[2, 2, 0, 0, 1, 0, 3, 2, 0, 2] cheerleads	1.2	1.07703	[2, 3, 0, 3, 1, 0, 0, 1, 1, 1] cheerled	1.5	1.11803	[0, 2, 1, 4, 2, 2, 2, 1, 1, 0] cheerless	-1.7	1.1	[-2, -3, -2, -2, -3, -2, -1, -1, 1, -2] cheerlessly	-0.8	1.98997	[-2, 4, -1, -2, -1, -2, -2, -2, 2, -2] cheerlessness	-1.7	1.48661	[-2, -1, -2, -3, -2, -4, -1, 2, -2, -2] cheerly	2.4	0.66332	[2, 2, 3, 2, 2, 3, 4, 2, 2, 2] cheers	2.1	1.3	[2, 2, 1, 3, 2, 3, 3, 4, -1, 2] cheery	2.6	0.66332	[3, 2, 2, 3, 2, 3, 4, 2, 3, 2] cherish	1.6	1.49666	[0, 3, 3, 3, 2, 2, 2, 1, -2, 2] cherishable	2.0	1.41421	[-2, 2, 2, 2, 3, 2, 3, 3, 2, 3] cherished	2.3	0.64031	[3, 2, 2, 3, 2, 2, 1, 3, 2, 3] cherisher	2.2	0.4	[2, 2, 3, 2, 2, 2, 2, 3, 2, 2] cherishers	1.9	0.7	[3, 3, 2, 2, 1, 1, 2, 2, 2, 1] cherishes	2.2	0.74833	[2, 2, 3, 2, 2, 2, 2, 4, 2, 1] cherishing	2.0	0.7746	[3, 3, 2, 2, 1, 2, 1, 3, 2, 1] chic	1.1	1.3	[1, 2, 2, -2, 2, 0, 1, 1, 3, 1] childish	-1.2	0.74833	[-1, -1, -2, -3, -1, 0, -1, -1, -1, -1] chilling	-0.1	1.92094	[3, -2, 0, 1, -2, -2, -1, -2, 1, 3] choke	-2.5	0.92195	[-1, -2, -3, -3, -2, -4, -2, -4, -2, -2] choked	-2.1	1.3	[-4, -3, 0, -2, -1, -3, -3, -2, 0, -3] chokes	-2.0	0.89443	[-4, -3, -1, -2, -1, -2, -2, -2, -1, -2] choking	-2.0	1.26491	[-4, -2, -2, -3, -2, -2, -3, -1, 1, -2] chuckle	1.7	0.45826	[2, 1, 2, 2, 2, 2, 1, 1, 2, 2] chuckled	1.2	0.9798	[2, 2, 1, 1, 2, 0, 1, 2, -1, 2] chucklehead	-1.9	0.53852	[-2, -2, -1, -3, -2, -2, -2, -2, -1, -2] chuckleheaded	-1.3	1.84662	[-3, -4, -2, 0, 3, -1, -2, 0, -2, -2] chuckleheads	-1.1	0.9434	[-1, -2, 0, -1, -1, -3, 0, 0, -2, -1] chuckler	0.8	1.07703	[2, 1, -1, 0, 2, 1, 1, 2, -1, 1] chucklers	1.2	0.87178	[1, 1, 2, 3, 1, 0, 1, 0, 2, 1] chuckles	1.1	1.13578	[2, 2, -1, 1, 2, 1, 1, 2, -1, 2] chucklesome	1.1	0.53852	[1, 1, 2, 1, 1, 1, 0, 2, 1, 1] chuckling	1.4	0.4899	[1, 2, 1, 2, 1, 1, 2, 2, 1, 1] chucklingly	1.2	0.4	[1, 1, 1, 1, 2, 1, 1, 1, 2, 1] clarifies	0.9	1.13578	[-2, 1, 0, 2, 1, 2, 2, 1, 1, 1] clarity	1.7	0.78102	[2, 1, 2, 3, 3, 1, 1, 2, 1, 1] classy	1.9	0.53852	[1, 2, 2, 1, 3, 2, 2, 2, 2, 2] clean	1.7	0.78102	[3, 1, 2, 1, 2, 1, 3, 2, 1, 1] cleaner	0.7	0.78102	[1, 0, 1, 0, 0, 0, 2, 1, 2, 0] clear	1.6	1.2	[2, 1, 1, 0, 3, 1, 2, 4, 2, 0] cleared	0.4	0.4899	[0, 0, 1, 1, 0, 0, 0, 0, 1, 1] clearly	1.7	0.78102	[2, 2, 2, 2, 1, 2, 0, 2, 1, 3] clears	0.3	0.78102	[0, 1, 0, 0, 0, -1, 1, 2, 0, 0] clever	2.0	0.7746	[2, 1, 2, 2, 2, 1, 3, 1, 3, 3] cleverer	2.0	0.44721	[2, 2, 2, 3, 2, 2, 1, 2, 2, 2] cleverest	2.6	0.91652	[4, 3, 2, 2, 4, 3, 2, 1, 2, 3] cleverish	1.0	1.18322	[1, 1, 1, 1, 1, 1, 2, 1, -2, 3] cleverly	2.3	0.45826	[2, 3, 2, 2, 2, 3, 2, 2, 3, 2] cleverness	2.3	0.9	[2, 4, 2, 2, 1, 3, 3, 3, 1, 2] clevernesses	1.4	0.66332	[1, 1, 1, 2, 2, 2, 2, 0, 2, 1] clouded	-0.2	0.9798	[-2, 0, 2, 0, 0, -1, 0, -1, 0, 0] clueless	-1.5	0.5	[-1, -2, -1, -2, -2, -1, -1, -1, -2, -2] cock	-0.6	1.49666	[0, 0, -4, 0, 0, 1, 0, -3, 0, 0] cocksucker	-3.1	0.83066	[-3, -4, -2, -2, -4, -4, -4, -2, -3, -3] cocksuckers	-2.6	1.42829	[-4, -3, -4, -3, -3, 1, -3, -1, -3, -3] cocky	-0.5	1.0247	[2, 0, -1, 0, -1, -2, 0, -1, -1, -1] coerced	-1.5	0.67082	[-1, -2, -2, -2, -1, 0, -1, -2, -2, -2] collapse	-2.2	0.87178	[-3, -1, -2, -4, -3, -2, -2, -2, -1, -2] collapsed	-1.1	1.64012	[-1, -2, -2, -1, -2, -2, 2, 2, -3, -2] collapses	-1.2	0.87178	[-2, -1, -2, 0, -2, 0, 0, -2, -1, -2] collapsing	-1.2	0.6	[-1, -1, -2, -2, -2, -1, 0, -1, -1, -1] collide	-0.3	1.61555	[-3, 0, -1, 3, 0, -1, -1, 2, -1, -1] collides	-1.1	1.22066	[-2, -2, -1, -1, 0, -2, 2, -2, -1, -2] colliding	-0.5	1.36015	[-2, 2, -1, -1, 0, -1, -2, 2, -1, -1] collision	-1.5	0.67082	[-1, -1, -2, -1, -2, -1, -1, -3, -2, -1] collisions	-1.1	0.7	[0, -2, -1, 0, -1, -1, -2, -2, -1, -1] colluding	-1.2	1.32665	[-1, -1, -2, -2, 0, -3, 2, -2, -1, -2] combat	-1.4	1.0198	[0, -2, 0, -2, -2, -2, -1, -3, 0, -2] combats	-0.8	1.16619	[0, -2, -3, -1, 0, 0, 0, -1, 1, -2] comedian	1.6	1.0198	[1, 0, 2, 3, 2, 0, 3, 1, 2, 2] comedians	1.2	1.16619	[0, 0, 0, 2, 3, 1, 3, 2, 0, 1] comedic	1.7	0.64031	[2, 1, 1, 3, 1, 2, 2, 2, 1, 2] comedically	2.1	0.7	[3, 2, 2, 1, 2, 3, 3, 2, 1, 2] comedienne	0.6	0.66332	[0, 2, 1, 0, 1, 1, 0, 1, 0, 0] comediennes	1.6	1.11355	[2, 1, 3, 0, 0, 3, 1, 1, 2, 3] comedies	1.7	1.00499	[0, 2, 1, 3, 3, 3, 1, 1, 2, 1] comedo	0.3	0.9	[0, 0, 0, 0, -1, 0, 2, 0, 2, 0] comedones	-0.8	0.9798	[0, 0, 0, -1, 0, -3, 0, -1, -1, -2] comedown	-0.8	1.07703	[-1, -1, -1, 0, -2, -1, 2, -1, -2, -1] comedowns	-0.9	0.53852	[-1, -1, -1, -1, 0, -2, 0, -1, -1, -1] comedy	1.5	0.67082	[1, 1, 2, 1, 3, 2, 1, 1, 2, 1] comfort	1.5	0.67082	[1, 3, 1, 2, 1, 1, 2, 1, 1, 2] comfortable	2.3	0.64031	[1, 2, 3, 2, 2, 3, 3, 3, 2, 2] comfortableness	1.3	1.48661	[4, 2, 2, 3, 1, 1, 1, -1, -1, 1] comfortably	1.8	0.74833	[1, 2, 2, 1, 3, 3, 1, 2, 1, 2] comforted	1.8	0.6	[2, 2, 2, 0, 2, 2, 2, 2, 2, 2] comforter	1.9	0.53852	[2, 3, 2, 2, 2, 1, 2, 2, 2, 1] comforters	1.2	0.6	[2, 1, 0, 2, 1, 1, 2, 1, 1, 1] comforting	1.7	0.64031	[1, 2, 1, 1, 2, 2, 2, 3, 2, 1] comfortingly	1.7	0.45826	[1, 2, 1, 2, 2, 1, 2, 2, 2, 2] comfortless	-1.8	0.6	[-3, -2, -1, -2, -1, -2, -1, -2, -2, -2] comforts	2.1	0.7	[3, 1, 3, 1, 2, 2, 3, 2, 2, 2] commend	1.9	0.7	[1, 2, 2, 1, 2, 1, 2, 3, 2, 3] commended	1.9	0.9434	[1, 3, 2, 3, 2, 2, 0, 1, 3, 2] commit	1.2	0.87178	[1, 0, 2, 2, 0, 0, 2, 2, 1, 2] commitment	1.6	0.91652	[3, 1, 2, 0, 3, 1, 2, 1, 2, 1] commitments	0.5	0.92195	[1, 3, 0, 0, 0, 0, 0, 0, 0, 1] commits	0.1	1.13578	[0, -1, 0, 2, 1, -1, 1, 1, -2, 0] committed	1.1	0.7	[0, 1, 1, 2, 0, 2, 1, 1, 2, 1] committing	0.3	1.18743	[0, 1, 0, 3, 0, -2, 1, 0, 0, 0] compassion	2.0	0.7746	[3, 2, 1, 1, 2, 1, 3, 2, 2, 3] compassionate	2.2	0.87178	[0, 3, 3, 2, 2, 3, 3, 2, 2, 2] compassionated	1.6	0.66332	[3, 1, 2, 2, 1, 2, 2, 1, 1, 1] compassionately	1.7	1.41774	[1, 3, 3, 2, 1, 2, 3, 2, -2, 2] compassionateness	0.9	1.37477	[-3, 2, 2, 1, 1, 1, 2, 1, 1, 1] compassionates	1.6	0.4899	[2, 1, 2, 2, 1, 2, 2, 1, 1, 2] compassionating	1.6	0.91652	[3, 0, 2, 1, 3, 1, 2, 1, 2, 1] compassionless	-2.6	0.8	[-3, -2, -2, -3, -4, -3, -1, -2, -3, -3] compelled	0.2	1.07703	[-1, 0, 0, 0, 1, 2, -1, -1, 2, 0] compelling	0.9	0.94339	[1, 1, 1, 0, 1, 2, 2, -1, 2, 0] competent	1.3	0.78102	[1, 3, 1, 1, 2, 1, 1, 0, 2, 1] competitive	0.7	0.9	[0, 2, 0, 2, 0, 1, 0, 0, 0, 2] complacent	-0.3	1.1	[2, -1, -1, 1, -1, -1, -1, 1, -1, -1] complain	-1.5	0.67082	[-1, -1, -1, -2, -1, -2, -3, -2, -1, -1] complainant	-0.7	0.78102	[0, 0, -1, 0, 0, -2, 0, -1, -2, -1] complainants	-1.1	1.3	[-2, -1, 0, -2, -3, -2, -1, 1, -2, 1] complained	-1.7	0.64031	[-1, -3, -2, -2, -1, -1, -2, -2, -1, -2] complainer	-1.8	0.4	[-2, -2, -2, -2, -1, -2, -2, -2, -1, -2] complainers	-1.3	1.00499	[-2, -1, -1, -2, -3, 1, -1, -1, -2, -1] complaining	-0.8	1.249	[-2, -1, -1, -1, -2, -1, -1, 2, 1, -2] complainingly	-1.7	0.64031	[-1, -2, -1, -2, -1, -2, -1, -2, -3, -2] complains	-1.6	0.66332	[-1, -2, -1, -2, -2, -3, -1, -1, -1, -2] complaint	-1.2	1.249	[-1, -1, -2, -2, -1, -3, -1, -1, 2, -2] complaints	-1.7	0.45826	[-2, -2, -2, -1, -2, -2, -2, -1, -1, -2] compliment	2.1	0.7	[2, 2, 3, 1, 2, 3, 3, 1, 2, 2] complimentarily	1.7	0.45826	[2, 2, 2, 2, 1, 1, 2, 1, 2, 2] complimentary	1.9	0.7	[1, 2, 2, 1, 2, 1, 2, 3, 3, 2] complimented	1.8	1.4	[3, 2, 2, 2, 3, 2, -2, 3, 1, 2] complimenting	2.3	0.64031	[2, 2, 1, 3, 3, 2, 2, 3, 3, 2] compliments	1.7	0.45826	[2, 1, 2, 2, 1, 2, 2, 1, 2, 2] comprehensive	1.0	0.63246	[1, 1, 1, 0, 2, 2, 1, 0, 1, 1] conciliate	1.0	1.18322	[2, 1, 1, 0, 2, 2, -2, 2, 1, 1] conciliated	1.1	0.9434	[1, 3, 0, 0, 2, 0, 2, 1, 1, 1] conciliates	1.1	0.9434	[1, 3, 0, 0, 2, 0, 2, 1, 1, 1] conciliating	1.3	0.78102	[2, 2, 1, 1, 2, 0, 2, 1, 2, 0] condemn	-1.6	1.0198	[-2, -2, -1, -2, -2, 1, -2, -3, -1, -2] condemnation	-2.8	0.9798	[-3, -4, -2, -4, -2, -4, -2, -1, -3, -3] condemned	-1.9	1.81384	[2, -2, -2, -3, -2, -3, -3, -4, 1, -3] condemns	-2.3	0.64031	[-2, -2, -3, -3, -3, -2, -2, -3, -1, -2] confidence	2.3	0.64031	[3, 3, 3, 3, 1, 2, 2, 2, 2, 2] confident	2.2	0.87178	[1, 3, 3, 2, 3, 1, 3, 2, 1, 3] confidently	2.1	0.53852	[2, 2, 3, 1, 2, 2, 2, 2, 3, 2] conflict	-1.3	0.45826	[-2, -2, -1, -2, -1, -1, -1, -1, -1, -1] conflicting	-1.7	0.64031	[-1, -2, -3, -1, -2, -1, -2, -1, -2, -2] conflictive	-1.8	0.6	[-2, -2, -2, -2, -1, -1, -3, -2, -1, -2] conflicts	-1.6	0.8	[-1, -1, -1, -2, -1, -1, -3, -2, -1, -3] confront	-0.7	0.78102	[0, -1, -1, 0, 1, -1, -1, -2, -1, -1] confrontation	-1.3	1.55242	[-3, -2, -3, -2, -1, -2, 1, 2, -1, -2] confrontational	-1.6	0.66332	[-1, -2, -1, -2, -1, -2, -1, -2, -3, -1] confrontationist	-1.0	1.34164	[-1, -2, -2, 2, 1, -1, -2, -1, -2, -2] confrontationists	-1.2	1.46969	[-2, -3, -1, -2, 2, 1, -1, -2, -2, -2] confrontations	-1.5	1.0247	[-1, -3, -2, -1, -3, 0, -2, -2, 0, -1] confronted	-0.8	0.74833	[-1, -2, -1, -1, -1, -1, -1, -1, 1, 0] confronter	-0.3	1.1	[0, -2, 1, -2, 0, -1, -1, 0, 1, 1] confronters	-1.3	1.26886	[-3, -2, -2, -2, -1, -2, 1, 1, -1, -2] confronting	-0.6	1.11355	[-2, -1, -1, 0, -2, 2, -1, 0, 0, -1] confronts	-0.9	0.53852	[-1, -1, -1, -1, 0, -1, 0, -1, -2, -1] confuse	-0.9	0.3	[-1, -1, -1, -1, -1, -1, -1, -1, 0, -1] confused	-1.3	0.45826	[-1, -2, -1, -1, -1, -1, -1, -1, -2, -2] confusedly	-0.6	1.42829	[-3, -1, -1, 1, -1, -1, -2, 2, 1, -1] confusedness	-1.5	0.67082	[-3, -1, -1, -2, -1, -2, -2, -1, -1, -1] confuses	-1.3	0.45826	[-1, -2, -1, -1, -1, -1, -1, -1, -2, -2] confusing	-0.9	0.7	[-1, -1, -1, -2, -1, -1, 1, -1, -1, -1] confusingly	-1.4	0.66332	[-1, -1, -1, -1, -3, -1, -2, -1, -1, -2] confusion	-1.2	0.6	[-1, -1, -1, -1, -1, -2, 0, -1, -2, -2] confusional	-1.2	0.6	[-2, -2, 0, -1, -2, -1, -1, -1, -1, -1] confusions	-0.9	1.04403	[-1, -2, -1, -1, -1, 2, -2, -1, -1, -1] congrats	2.4	0.91652	[1, 3, 3, 3, 2, 2, 4, 1, 2, 3] congratulate	2.2	1.249	[3, 3, 2, 3, -1, 2, 1, 3, 3, 3] congratulation	2.9	0.9434	[3, 3, 3, 2, 4, 2, 4, 3, 4, 1] congratulations	2.9	0.53852	[2, 3, 3, 3, 3, 3, 3, 3, 4, 2] consent	0.9	0.7	[0, 0, 1, 1, 1, 2, 1, 2, 0, 1] consents	1.0	0.63246	[0, 2, 1, 0, 1, 1, 1, 2, 1, 1] considerate	1.9	1.22066	[2, -1, 3, 2, 2, 2, 4, 1, 2, 2] consolable	1.1	0.53852	[1, 1, 2, 1, 0, 1, 1, 1, 2, 1] conspiracy	-2.4	0.66332	[-2, -2, -3, -3, -2, -2, -4, -2, -2, -2] constrained	-0.4	1.0198	[-1, 0, -1, -1, -1, -1, 2, -1, 1, -1] contagion	-2.0	1.18322	[-1, 0, -2, -1, -2, -4, -2, -4, -2, -2] contagions	-1.5	0.92195	[-2, -2, -2, -2, 1, -2, -1, -1, -2, -2] contagious	-1.4	0.91652	[-2, -2, -2, 0, -1, -1, -2, 0, -1, -3] contempt	-2.8	0.6	[-3, -3, -4, -2, -3, -2, -3, -3, -2, -3] contemptibilities	-2.0	1.09545	[-2, 1, -2, -2, -3, -3, -3, -2, -2, -2] contemptibility	-0.9	1.51327	[-2, -1, -3, -1, 0, -3, -1, 1, 2, -1] contemptible	-1.6	1.68523	[-2, -2, -3, -3, -2, -3, -1, -3, 1, 2] contemptibleness	-1.9	0.7	[-2, -2, -1, -2, -2, -1, -1, -2, -3, -3] contemptibly	-1.4	1.49666	[-3, 0, -2, -3, -2, -2, -1, -3, 1, 1] contempts	-1.0	1.48324	[-2, -2, -1, 0, 1, -1, -2, -3, 2, -2] contemptuous	-2.2	1.83303	[-2, -3, -4, -2, -3, -3, 3, -2, -3, -3] contemptuously	-2.4	0.8	[-1, -3, -2, -3, -3, -2, -1, -3, -3, -3] contemptuousness	-1.1	1.57797	[-3, -1, -2, 3, -2, 0, -1, -1, -2, -2] contend	0.2	1.07703	[0, 0, 1, 1, -2, 1, -1, 0, 2, 0] contender	0.5	1.0247	[1, 3, -1, 0, 0, 1, 0, 1, 0, 0] contented	1.4	1.56205	[1, 1, 3, 2, 2, 2, -3, 2, 2, 2] contentedly	1.9	0.9434	[3, 1, 2, 3, 2, 3, 0, 2, 1, 2] contentedness	1.4	0.4899	[1, 2, 1, 1, 2, 2, 2, 1, 1, 1] contentious	-1.2	1.4	[-2, -2, -2, -2, -2, -2, -1, 2, 1, -2] contentment	1.5	1.74642	[2, 1, 3, 2, 2, 1, 2, 4, 1, -3] contestable	0.6	1.0198	[2, -1, 1, 0, 1, -1, 1, 1, 2, 0] contradict	-1.3	0.78102	[-2, -1, -1, 0, -2, 0, -1, -2, -2, -2] contradictable	-1.0	0.63246	[-1, -1, -2, 0, -1, -1, 0, -1, -1, -2] contradicted	-1.3	0.45826	[-1, -1, -1, -1, -2, -1, -2, -1, -1, -2] contradicting	-1.3	0.9	[-2, -2, -2, -1, -2, -1, 1, -1, -1, -2] contradiction	-1.0	0.89443	[-1, 0, 0, -1, 0, -3, -2, -1, -1, -1] contradictions	-1.3	0.78102	[0, -2, -1, -2, -1, -2, -1, 0, -2, -2] contradictious	-1.9	1.04403	[-2, -3, 0, -3, -3, -1, -2, -1, -1, -3] contradictor	-1.0	0.63246	[-1, -1, -1, -2, -1, -2, 0, 0, -1, -1] contradictories	-0.5	1.11803	[-1, 0, -1, -2, 2, 1, -1, -1, -1, -1] contradictorily	-0.9	1.3	[0, -1, -1, -1, -3, -1, 1, 1, -3, -1] contradictoriness	-1.4	0.4899	[-2, -1, -1, -1, -2, -1, -1, -2, -2, -1] contradictors	-1.6	0.66332	[-1, -2, -1, -2, -1, -1, -3, -1, -2, -2] contradictory	-1.4	0.4899	[-1, -2, -1, -2, -1, -1, -1, -1, -2, -2] contradicts	-1.4	0.66332	[-1, -2, -1, -2, -2, -2, 0, -1, -1, -2] controversial	-0.8	0.87178	[0, 0, -1, 1, -2, -1, -1, -1, -1, -2] controversially	-1.1	1.04403	[0, -1, -1, -2, -1, -2, -1, 1, -3, -1] convince	1.0	0.89443	[-1, 2, 2, 1, 1, 0, 1, 1, 2, 1] convinced	1.7	0.64031	[2, 1, 1, 2, 1, 2, 2, 2, 1, 3] convincer	0.6	0.66332	[2, 0, 1, 0, 1, 1, 0, 0, 0, 1] convincers	0.3	0.64031	[0, 0, 0, 0, 0, 1, 0, 0, 0, 2] convinces	0.7	0.78102	[1, 0, 2, 0, 1, 0, 0, 0, 1, 2] convincing	1.7	0.9	[2, 2, 0, 3, 3, 1, 1, 2, 2, 1] convincingly	1.6	0.66332	[3, 2, 1, 1, 1, 2, 2, 1, 2, 1] convincingness	0.7	1.34536	[0, 0, 0, 1, -2, 2, 0, 3, 1, 2] convivial	1.2	1.16619	[1, 2, -2, 2, 1, 2, 2, 1, 2, 1] cool	1.3	0.64031	[1, 1, 2, 1, 1, 1, 2, 2, 2, 0] cornered	-1.1	0.83066	[-1, -1, -3, -1, 0, -1, 0, -1, -2, -1] corpse	-2.7	1.18743	[-3, -4, 0, -4, -3, -3, -3, -1, -3, -3] costly	-0.4	1.0198	[-1, 0, -1, -1, 2, -1, -1, 1, -1, -1] courage	2.2	0.74833	[2, 3, 1, 2, 3, 2, 3, 3, 1, 2] courageous	2.4	0.4899	[2, 3, 3, 3, 3, 2, 2, 2, 2, 2] courageously	2.3	0.78102	[3, 3, 3, 1, 3, 3, 2, 2, 2, 1] courageousness	2.1	0.7	[3, 3, 1, 2, 1, 2, 2, 2, 3, 2] courteous	2.3	0.45826	[2, 2, 2, 3, 3, 2, 3, 2, 2, 2] courtesy	1.5	0.67082	[1, 1, 2, 3, 1, 2, 1, 1, 2, 1] cover-up	-1.2	1.16619	[-1, -1, -4, -1, 0, 0, -2, 0, -1, -2] coward	-2.0	0.63246	[-3, -3, -1, -2, -2, -1, -2, -2, -2, -2] cowardly	-1.6	0.8	[-1, -1, -1, -3, -1, -2, -3, -2, -1, -1] coziness	1.5	1.11803	[2, 3, 1, 3, 1, 2, 2, -1, 1, 1] cramp	-0.8	1.66132	[0, -1, -1, -3, -3, 1, -2, 1, -2, 2] crap	-1.6	0.66332	[-1, -1, -2, -2, -1, -2, -3, -1, -1, -2] crappy	-2.6	0.8	[-1, -3, -3, -2, -3, -4, -2, -2, -3, -3] crash	-1.7	1.18743	[-2, -3, -2, -1, -2, 0, 0, -1, -4, -2] craze	-0.6	1.49666	[0, -3, -1, -1, -2, 0, 0, -1, 3, -1] crazed	-0.5	2.24722	[-2, -1, 3, -3, -3, 1, 1, -1, 3, -3] crazes	0.2	1.6	[-2, -1, 3, -1, -1, 1, 2, 0, 2, -1] crazier	-0.1	1.7	[2, -2, -2, 0, -1, 1, 3, 1, -1, -2] craziest	-0.2	2.13542	[2, -2, -3, 3, -2, 0, 2, 2, -2, -2] crazily	-1.5	0.67082	[-2, -1, -1, -2, -1, -3, -2, -1, -1, -1] craziness	-1.6	0.66332	[-2, 0, -2, -1, -2, -1, -2, -2, -2, -2] crazinesses	-1.0	1.48324	[1, -2, -2, 2, -1, 0, -2, -1, -3, -2] crazing	-0.5	0.80623	[0, 0, 0, 0, -2, -1, -2, 0, 0, 0] crazy	-1.4	1.35647	[-2, -1, -1, -2, -3, -2, -3, -1, 2, -1] crazyweed	0.8	0.9798	[2, 0, 0, 0, 0, 2, 2, 0, 2, 0] create	1.1	1.13578	[1, 1, 1, 2, 3, 0, 0, 0, 3, 0] created	1.0	0.7746	[2, 0, 0, 1, 1, 2, 0, 1, 1, 2] creates	1.1	0.83066	[2, 0, 0, 1, 1, 2, 0, 1, 2, 2] creatin	0.1	0.53852	[0, 0, 0, 1, 0, 0, 0, 1, -1, 0] creatine	0.2	0.6	[0, 0, 0, 0, 0, 0, 0, 0, 0, 2] creating	1.2	1.249	[0, 0, 0, 0, 4, 1, 1, 2, 2, 2] creatinine	0.4	1.2	[0, 0, 0, 4, 0, 0, 0, 0, 0, 0] creation	1.1	0.83066	[2, 1, 1, 2, 0, 0, 0, 1, 2, 2] creationism	0.7	0.9	[2, 0, 0, 0, 0, 0, 2, 0, 2, 1] creationisms	1.1	1.37477	[2, 4, 0, 3, 0, 0, 1, 1, 0, 0] creationist	0.8	0.9798	[2, 0, 0, 0, 0, 0, 2, 0, 2, 2] creationists	0.5	0.67082	[0, 0, 0, 1, 1, 0, 2, 0, 1, 0] creations	1.6	0.91652	[3, 2, 1, 1, 1, 3, 1, 2, 2, 0] creative	1.9	0.53852	[2, 1, 2, 2, 2, 1, 3, 2, 2, 2] creatively	1.5	0.80623	[2, 2, 1, 0, 2, 2, 2, 0, 2, 2] creativeness	1.8	1.07703	[3, 2, 1, 0, 2, 2, 2, 0, 3, 3] creativities	1.7	1.00499	[2, 2, 1, 0, 3, 2, 2, 0, 2, 3] creativity	1.6	0.8	[2, 1, 2, 2, 3, 2, 0, 2, 1, 1] credit	1.6	0.91652	[1, 1, 0, 2, 3, 3, 2, 2, 1, 1] creditabilities	1.4	1.28062	[0, 3, -1, 2, 2, 2, 1, 2, 0, 3] creditability	1.9	1.3	[3, 0, 4, 0, 1, 1, 3, 2, 2, 3] creditable	1.8	0.6	[2, 1, 1, 1, 2, 2, 3, 2, 2, 2] creditableness	1.2	0.74833	[1, 1, 1, 3, 2, 1, 0, 1, 1, 1] creditably	1.7	0.78102	[3, 1, 1, 0, 2, 2, 2, 2, 2, 2] credited	1.5	1.11803	[1, 1, 1, 0, 3, 2, 0, 3, 1, 3] crediting	0.6	0.4899	[1, 0, 0, 0, 1, 1, 1, 0, 1, 1] creditor	-0.1	1.44568	[-2, -1, 1, -2, -1, 1, 2, -1, 2, 0] credits	1.5	1.0247	[2, -1, 2, 0, 2, 2, 2, 2, 2, 2] creditworthiness	1.9	1.3	[4, 0, 3, 1, 2, 1, 4, 2, 1, 1] creditworthy	2.4	0.66332	[3, 3, 3, 1, 2, 3, 3, 2, 2, 2] crestfallen	-2.5	0.67082	[-2, -3, -3, -2, -3, -2, -4, -2, -2, -2] cried	-1.6	0.8	[-1, -3, -1, -2, -2, -2, 0, -2, -1, -2] cries	-1.7	0.64031	[-1, -3, -1, -2, -2, -2, -1, -2, -1, -2] crime	-2.5	0.80623	[-3, -3, -4, -2, -2, -1, -2, -2, -3, -3] criminal	-2.4	0.91652	[-3, -2, -4, -3, -1, -2, -3, -2, -1, -3] criminals	-2.7	0.9	[-2, -2, -1, -3, -3, -4, -4, -3, -2, -3] crisis	-3.1	0.7	[-3, -2, -4, -3, -3, -2, -4, -4, -3, -3] critic	-1.1	0.53852	[-1, 0, -2, -1, -1, -1, -1, -1, -2, -1] critical	-1.3	0.78102	[-2, 0, -1, -1, -1, -2, -1, -3, -1, -1] criticise	-1.9	0.53852	[-2, -1, -2, -2, -2, -2, -3, -1, -2, -2] criticised	-1.8	0.4	[-2, -2, -1, -2, -2, -2, -1, -2, -2, -2] criticises	-1.3	1.26886	[-2, -1, -1, -1, 2, -1, -3, -2, -2, -2] criticising	-1.7	0.78102	[-1, -1, -1, -3, -1, -2, -2, -2, -1, -3] criticism	-1.9	0.53852	[-2, -1, -2, -2, -2, -2, -3, -1, -2, -2] criticisms	-0.9	1.37477	[-1, -1, 1, -1, -2, -2, -1, -3, 2, -1] criticizable	-1.0	0.63246	[-1, -2, 0, -1, -2, -1, 0, -1, -1, -1] criticize	-1.6	1.0198	[-2, -1, 0, -2, -1, -3, 0, -3, -2, -2] criticized	-1.5	0.92195	[-1, -2, -3, -1, -1, -1, -3, -1, -2, 0] criticizer	-1.5	0.67082	[-1, -2, -2, -1, -1, -1, -3, -1, -2, -1] criticizers	-1.6	0.4899	[-1, -1, -1, -2, -2, -2, -1, -2, -2, -2] criticizes	-1.4	0.66332	[-1, -1, -2, -1, -1, -1, -3, -1, -2, -1] criticizing	-1.5	0.67082	[-1, -1, -1, -2, -2, -1, -2, -1, -3, -1] critics	-1.2	0.6	[-2, 0, -1, -1, -1, -1, -2, -1, -2, -1] crude	-2.7	0.64031	[-2, -2, -3, -4, -2, -3, -3, -2, -3, -3] crudely	-1.2	0.4	[-1, -2, -2, -1, -1, -1, -1, -1, -1, -1] crudeness	-2.0	0.7746	[-3, -1, -1, -1, -3, -2, -3, -2, -2, -2] crudenesses	-2.0	1.0	[-3, -1, -1, -2, -4, -1, -1, -2, -2, -3] cruder	-2.0	0.89443	[-3, -2, -2, -1, -1, -2, -2, -1, -4, -2] crudes	-1.1	0.83066	[-2, -1, -1, -1, 0, 0, -1, -1, -3, -1] crudest	-2.4	1.0198	[-2, -1, -3, -3, -2, -1, -4, -4, -2, -2] cruel	-2.8	1.16619	[-2, -4, -1, -4, -1, -4, -2, -3, -3, -4] crueler	-2.3	0.45826	[-2, -3, -2, -2, -2, -3, -2, -2, -3, -2] cruelest	-2.6	0.8	[-4, -3, -2, -4, -2, -2, -2, -2, -2, -3] crueller	-2.4	0.4899	[-2, -3, -3, -3, -2, -2, -3, -2, -2, -2] cruellest	-2.9	1.04403	[-2, -3, -4, -4, -4, -3, -1, -2, -2, -4] cruelly	-2.8	0.4	[-3, -3, -3, -3, -3, -3, -2, -2, -3, -3] cruelness	-2.9	0.3	[-3, -3, -3, -3, -3, -3, -3, -3, -2, -3] cruelties	-2.3	1.00499	[-4, -3, -2, -1, -2, -2, -1, -4, -2, -2] cruelty	-2.9	0.83066	[-3, -3, -3, -3, -4, -3, -1, -3, -4, -2] crush	-0.6	1.11355	[0, 0, 0, -1, 1, 0, -2, -3, -1, 0] crushed	-1.8	0.6	[-2, -2, -2, -1, -2, -1, -1, -3, -2, -2] crushes	-1.9	0.53852	[-2, -2, -2, -2, -2, -1, -1, -3, -2, -2] crushing	-1.5	1.85742	[-2, -3, -1, -3, 2, -2, -2, -3, 2, -3] cry	-2.1	0.53852	[-2, -2, -2, -1, -2, -2, -3, -3, -2, -2] crying	-2.1	0.7	[-3, -1, -2, -2, -3, -2, -3, -2, -1, -2] cunt	-2.2	2.08806	[-4, -1, -4, -2, 2, -4, -4, -3, 1, -3] cunts	-2.9	1.44568	[-3, -4, -3, -4, -4, -4, -3, 1, -3, -2] curious	1.3	0.78102	[0, 1, 0, 2, 2, 2, 1, 1, 2, 2] curse	-2.5	0.67082	[-3, -3, -4, -2, -2, -3, -2, -2, -2, -2] cut	-1.1	0.53852	[-2, -1, -1, -1, 0, -1, -1, -1, -2, -1] cute	2.0	0.63246	[1, 3, 1, 2, 2, 2, 2, 3, 2, 2] cutely	1.3	1.00499	[3, 1, 1, 2, 2, 1, 1, 2, -1, 1] cuteness	2.3	0.45826	[2, 2, 2, 3, 2, 3, 3, 2, 2, 2] cutenesses	1.9	0.53852	[1, 2, 2, 1, 3, 2, 2, 2, 2, 2] cuter	2.3	0.9	[1, 2, 3, 4, 1, 2, 2, 3, 3, 2] cutes	1.8	0.87178	[1, 2, 3, 0, 1, 2, 2, 2, 3, 2] cutesie	1.0	1.18322	[2, 2, 1, 1, 0, 2, 2, -1, 2, -1] cutesier	1.5	1.20416	[3, -1, 2, 1, 1, 2, 2, 3, 0, 2] cutesiest	2.2	1.4	[3, 3, 4, 2, 2, 4, 2, -1, 2, 1] cutest	2.8	0.87178	[2, 3, 3, 4, 4, 3, 1, 3, 2, 3] cutesy	2.1	0.83066	[2, 1, 2, 2, 4, 3, 1, 2, 2, 2] cutey	2.1	1.04403	[1, 2, 3, 4, 1, 1, 3, 2, 3, 1] cuteys	1.5	1.0247	[3, 2, 2, 0, 1, 2, 1, 1, 3, 0] cutie	1.5	0.80623	[3, 1, 1, 2, 1, 1, 1, 3, 1, 1] cutiepie	2.0	1.09545	[3, 1, 2, 4, 0, 2, 1, 3, 2, 2] cuties	2.2	0.6	[3, 2, 2, 2, 3, 1, 2, 2, 3, 2] cuts	-1.2	0.6	[-1, -2, -1, 0, -1, -1, -2, -2, -1, -1] cutting	-0.5	0.67082	[0, -1, 0, 0, 0, -1, -1, -2, 0, 0] cynic	-1.4	0.8	[-1, -2, -1, 0, -2, -3, -1, -1, -1, -2] cynical	-1.6	0.66332	[-1, -1, -2, -2, -1, -1, -2, -2, -1, -3] cynically	-1.3	1.00499	[-2, -1, -1, -1, -3, -2, -1, -2, 1, -1] cynicism	-1.7	0.64031	[-2, -3, -1, -1, -2, -1, -2, -1, -2, -2] cynicisms	-1.7	0.78102	[-1, -1, -3, -1, -2, -3, -1, -2, -2, -1] cynics	-0.3	1.1	[-1, 0, -2, 0, 0, -1, 1, -1, 2, -1] d-:	1.6	0.66332	[1, 1, 1, 2, 2, 3, 1, 1, 2, 2] d:	1.2	0.87178	[1, 1, 1, 2, 1, 1, 2, 2, -1, 2] d=	1.5	0.67082	[1, 1, 1, 2, 3, 2, 1, 1, 1, 2] damage	-2.2	0.4	[-2, -3, -2, -2, -3, -2, -2, -2, -2, -2] damaged	-1.9	0.53852	[-2, -2, -2, -1, -2, -1, -2, -2, -3, -2] damager	-1.9	0.53852	[-2, -2, -2, -2, -2, -1, -2, -2, -3, -1] damagers	-2.0	0.63246	[-2, -3, -1, -2, -2, -1, -3, -2, -2, -2] damages	-1.9	1.04403	[-1, 0, -2, -2, -2, -4, -2, -1, -3, -2] damaging	-2.3	0.9	[-4, -1, -2, -4, -2, -2, -2, -2, -2, -2] damagingly	-2.0	0.7746	[-2, -2, -2, -2, -1, -3, -3, -1, -3, -1] damn	-1.7	0.64031	[-2, -1, -2, -1, -1, -3, -1, -2, -2, -2] damnable	-1.7	0.45826	[-2, -1, -2, -2, -1, -2, -1, -2, -2, -2] damnableness	-1.8	0.74833	[-2, -2, -2, -2, -1, -2, -2, 0, -3, -2] damnably	-1.7	0.45826	[-2, -1, -2, -2, -1, -2, -1, -2, -2, -2] damnation	-2.6	1.0198	[-3, -2, -3, -4, -4, -3, -1, -2, -1, -3] damnations	-1.4	1.11355	[-2, -1, -2, -3, -2, 0, -1, 1, -2, -2] damnatory	-2.6	1.42829	[-4, -1, -4, -2, -1, -3, -3, 0, -4, -4] damned	-1.6	0.66332	[-1, -1, -3, -1, -2, -2, -1, -2, -1, -2] damnedest	-0.5	1.5	[1, 0, 0, 0, -1, -1, 0, 2, -3, -3] damnified	-2.8	0.9798	[-1, -3, -3, -2, -2, -3, -4, -4, -2, -4] damnifies	-1.8	0.87178	[-2, -2, -1, -2, -3, -2, -2, 0, -1, -3] damnify	-2.2	0.74833	[-2, -2, -4, -2, -3, -2, -1, -2, -2, -2] damnifying	-2.4	0.66332	[-3, -1, -2, -2, -2, -2, -3, -3, -3, -3] damning	-1.4	0.8	[-1, -3, -1, -1, -1, -1, -3, -1, -1, -1] damningly	-2.0	1.61245	[-3, -2, -1, -4, -3, -3, -3, -2, 2, -1] damnit	-2.4	1.0198	[-3, -3, -2, -2, -3, -2, -4, -2, 0, -3] damns	-2.2	0.74833	[-2, -3, -2, -1, -3, -2, -1, -2, -3, -3] danger	-2.4	0.91652	[-3, -1, -2, -3, -3, -3, -2, -1, -2, -4] dangered	-2.4	0.66332	[-3, -3, -2, -3, -3, -2, -1, -2, -3, -2] dangering	-2.5	0.80623	[-1, -2, -2, -3, -4, -3, -3, -2, -2, -3] dangerous	-2.1	0.3	[-2, -3, -2, -2, -2, -2, -2, -2, -2, -2] dangerously	-2.0	0.44721	[-2, -2, -2, -1, -2, -3, -2, -2, -2, -2] dangerousness	-2.0	0.44721	[-2, -3, -2, -1, -2, -2, -2, -2, -2, -2] dangers	-2.2	0.87178	[-1, -1, -2, -4, -2, -3, -3, -2, -2, -2] daredevil	0.5	0.92195	[0, 1, -1, 2, 0, 0, 1, 0, 0, 2] daring	1.5	1.5	[3, 0, 1, 1, 2, -2, 3, 2, 2, 3] daringly	2.1	0.7	[3, 1, 2, 1, 3, 2, 2, 3, 2, 2] daringness	1.4	0.8	[0, 2, 1, 3, 1, 2, 2, 1, 1, 1] darings	0.4	0.91652	[0, 1, 1, 1, 0, 1, 0, 1, -2, 1] darkest	-2.2	0.6	[-3, -3, -2, -2, -3, -2, -1, -2, -2, -2] darkness	-1.0	0.44721	[-2, -1, -1, -1, -1, 0, -1, -1, -1, -1] darling	2.8	0.6	[3, 3, 2, 2, 3, 3, 4, 2, 3, 3] darlingly	1.6	0.66332	[1, 1, 2, 3, 1, 1, 2, 2, 2, 1] darlingness	2.3	0.45826	[3, 3, 2, 2, 2, 2, 2, 2, 3, 2] darlings	2.2	0.4	[3, 2, 2, 2, 2, 2, 2, 2, 3, 2] dauntless	2.3	0.78102	[3, 3, 2, 1, 3, 3, 2, 1, 2, 3] daze	-0.7	0.78102	[-1, 0, -1, -1, 1, -1, -1, 0, -1, -2] dazed	-0.7	0.64031	[0, -1, -1, 0, -1, -1, 0, -1, 0, -2] dazedly	-0.4	1.0198	[-1, -1, -1, -1, -1, 2, -1, 1, 0, -1] dazedness	-0.5	1.11803	[-1, 2, 0, -1, -1, -1, 1, -2, -1, -1] dazes	-0.3	0.78102	[0, -1, 0, 0, 0, -1, 0, 1, 0, -2] dead	-3.3	1.00499	[-4, -4, -1, -4, -4, -3, -4, -2, -3, -4] deadlock	-1.4	0.8	[-2, -2, -1, -3, -1, 0, -2, -1, -1, -1] deafening	-1.2	1.6	[-4, -2, 0, -3, 1, -2, 1, -2, -1, 0] dear	1.6	1.35647	[3, 3, 2, 2, 2, 2, 1, -2, 1, 2] dearer	1.9	0.7	[2, 2, 1, 2, 1, 1, 2, 3, 2, 3] dearest	2.6	0.8	[1, 2, 3, 3, 2, 2, 3, 3, 4, 3] dearie	2.2	0.6	[2, 2, 2, 3, 2, 1, 3, 2, 3, 2] dearies	1.0	1.0	[0, 1, 2, -1, 1, 1, 1, 1, 1, 3] dearly	1.8	1.07703	[3, 4, 2, 1, 1, 0, 1, 2, 2, 2] dearness	2.0	0.7746	[1, 1, 2, 3, 2, 2, 2, 3, 1, 3] dears	1.9	0.83066	[3, 2, 2, 2, 1, 2, 2, 2, 0, 3] dearth	-2.3	1.00499	[-2, -2, -1, -4, -2, -1, -2, -4, -3, -2] dearths	-0.9	0.7	[0, -1, 0, -1, -2, -1, -2, 0, -1, -1] deary	1.9	0.83066	[3, 2, 2, 1, 2, 2, 3, 2, 0, 2] death	-2.9	1.04403	[-3, -4, -4, -3, -3, -1, -1, -4, -3, -3] debonair	0.8	1.72047	[1, -1, -1, -3, 2, 2, 2, 2, 2, 2] debt	-1.5	1.0247	[-2, -1, -2, -3, 1, -2, -2, -1, -1, -2] decay	-1.7	0.45826	[-2, -2, -2, -1, -2, -1, -1, -2, -2, -2] decayed	-1.6	0.91652	[-2, -2, -2, -2, -2, 1, -1, -2, -2, -2] decayer	-1.6	0.4899	[-2, -2, -2, -1, -2, -1, -1, -1, -2, -2] decayers	-1.6	0.4899	[-2, -1, -1, -2, -1, -2, -2, -2, -1, -2] decaying	-1.7	0.64031	[-1, -1, -2, -2, -1, -2, -3, -2, -2, -1] decays	-1.7	0.45826	[-2, -1, -2, -2, -1, -2, -1, -2, -2, -2] deceit	-2.0	1.34164	[-3, -2, -2, -3, -3, 0, 1, -2, -3, -3] deceitful	-1.9	1.22066	[-3, -2, -2, -3, -1, -3, -1, -3, -2, 1] deceive	-1.7	0.64031	[-1, -2, -2, -1, -2, -1, -1, -3, -2, -2] deceived	-1.9	1.3	[1, -3, -3, -1, -1, -2, -2, -2, -4, -2] deceives	-1.6	1.56205	[-1, 2, -2, -2, -3, -2, 0, -2, -4, -2] deceiving	-1.4	1.68523	[-3, -2, -2, -2, -1, -1, 1, -4, 2, -2] deception	-1.9	1.04403	[-1, -2, -2, -4, -2, 0, -2, -1, -3, -2] decisive	0.9	0.83066	[2, 2, 0, 1, -1, 1, 1, 1, 1, 1] dedicated	2.0	0.44721	[2, 2, 2, 2, 2, 2, 2, 1, 3, 2] defeat	-2.0	1.67332	[0, -4, -3, -4, -2, -1, -2, -1, 1, -4] defeated	-2.1	0.83066	[-1, -2, -1, -2, -3, -2, -2, -2, -2, -4] defeater	-1.4	0.8	[-2, -1, -1, -3, -2, -1, -2, -1, 0, -1] defeaters	-0.9	0.9434	[-2, 0, -1, -2, -2, -1, 0, -1, 1, -1] defeating	-1.6	0.66332	[-2, -2, -1, -1, -1, -1, -2, -2, -3, -1] defeatism	-1.3	1.00499	[-1, -2, -2, -1, -1, -3, 1, -2, -1, -1] defeatist	-1.7	0.9	[0, -1, -2, -3, -1, -2, -1, -3, -2, -2] defeatists	-2.1	0.9434	[-3, -2, -1, -2, -2, -1, -3, -4, -1, -2] defeats	-1.3	1.1	[-1, 0, -1, -2, -1, -2, -3, 1, -2, -2] defeature	-1.9	1.22066	[1, -2, -2, -2, -2, -1, -2, -3, -4, -2] defeatures	-1.5	1.20416	[-3, -2, -3, 0, -1, -1, -2, 0, -3, 0] defect	-1.4	0.8	[-2, -1, -2, -1, 0, -2, -3, -1, -1, -1] defected	-1.7	0.64031	[-3, -2, -2, -2, -1, -1, -1, -2, -1, -2] defecting	-1.8	0.6	[-2, -1, -2, -2, -2, -1, -3, -1, -2, -2] defection	-1.4	0.66332	[-1, -2, -1, -2, 0, -1, -2, -2, -2, -1] defections	-1.5	0.67082	[-2, -2, -2, -1, 0, -1, -2, -2, -1, -2] defective	-1.9	0.53852	[-2, -1, -2, -3, -2, -2, -2, -2, -1, -2] defectively	-2.1	0.83066	[-1, -3, -2, -1, -3, -2, -1, -3, -2, -3] defectiveness	-1.8	0.74833	[-1, -1, -2, -2, -2, -3, -1, -1, -2, -3] defectives	-1.8	0.74833	[-3, -3, -1, -2, -2, -1, -2, -1, -1, -2] defector	-1.9	0.53852	[-2, -3, -2, -2, -1, -2, -1, -2, -2, -2] defectors	-1.3	1.26886	[-2, -1, -2, 0, -1, -1, -2, -4, 1, -1] defects	-1.7	0.9	[-1, -2, -1, 0, -2, -3, -2, -2, -1, -3] defence	0.4	0.91652	[0, 0, 0, 1, 0, 0, 0, 2, 2, -1] defenceman	0.4	1.11355	[3, 0, 0, 0, 0, -1, 2, 0, 0, 0] defencemen	0.6	0.91652	[0, 0, 0, 2, 0, 2, 0, 2, 0, 0] defences	-0.2	1.16619	[0, 0, 0, 1, -2, -1, 0, -2, 0, 2] defender	0.4	1.0198	[0, 0, 2, 1, -1, 2, 0, 1, -1, 0] defenders	0.3	0.78102	[0, 1, 1, 0, 0, 0, 0, -1, 2, 0] defense	0.5	0.67082	[0, 1, 0, 1, 2, 1, 0, 0, 0, 0] defenseless	-1.4	0.8	[0, -1, -1, -2, -1, -1, -3, -1, -2, -2] defenselessly	-1.1	0.9434	[-2, -2, -2, -1, 0, -1, 1, -1, -1, -2] defenselessness	-1.3	1.18743	[-3, -1, -3, 0, -2, -1, -1, -2, 1, -1] defenseman	0.1	1.13578	[2, 0, 0, 0, 0, 0, -1, 0, 2, -2] defensemen	-0.4	0.66332	[0, 0, -2, 0, -1, -1, 0, 0, 0, 0] defenses	0.7	1.41774	[3, 0, 2, 0, -1, 1, -2, 1, 1, 2] defensibility	0.4	1.56205	[1, -2, 1, 0, 4, 0, -1, 1, -1, 1] defensible	0.8	0.87178	[0, 2, 0, 0, 1, 0, 2, 0, 2, 1] defensibly	0.1	1.13578	[0, -1, 0, 0, -1, 0, 3, 0, -1, 1] defensive	0.1	1.13578	[2, -1, 0, -1, 2, 0, -1, 1, 0, -1] defensively	-0.6	0.91652	[1, 1, -1, -1, -1, -1, -2, -1, 0, -1] defensiveness	-0.4	1.11355	[2, -1, -1, -1, -1, 0, 0, 1, -2, -1] defensives	-0.3	1.00499	[-1, 0, 0, -1, 0, -1, 0, -2, 2, 0] defer	-1.2	0.6	[-1, -2, -1, 0, -1, -2, -2, -1, -1, -1] deferring	-0.7	0.64031	[0, 0, -2, -1, -1, -1, -1, 0, -1, 0] defiant	-0.9	1.44568	[-1, -2, -1, 2, 1, -2, 0, -1, -3, -2] deficit	-1.7	0.78102	[-3, -3, -2, -1, -2, -2, -1, -1, -1, -1] definite	1.1	0.7	[2, 1, 0, 1, 0, 1, 1, 2, 2, 1] definitely	1.7	0.64031	[2, 2, 2, 2, 2, 1, 2, 2, 0, 2] degradable	-1.0	1.26491	[-1, -2, 0, -2, 0, -1, -2, -2, 2, -2] degradation	-2.4	1.0198	[-4, -3, -3, -3, -3, -2, -2, -2, 0, -2] degradations	-1.5	0.67082	[-2, -1, -3, -1, -2, -2, -1, -1, -1, -1] degradative	-2.0	0.63246	[-2, -1, -3, -2, -2, -2, -1, -2, -3, -2] degrade	-1.9	0.7	[-3, -2, -1, -3, -1, -2, -2, -2, -1, -2] degraded	-1.8	0.87178	[-2, -3, -1, 0, -2, -1, -2, -2, -3, -2] degrader	-2.0	0.63246	[-2, -3, -1, -1, -2, -2, -3, -2, -2, -2] degraders	-2.0	0.63246	[-2, -3, -1, -2, -2, -2, -3, -2, -1, -2] degrades	-2.1	0.83066	[-3, -1, -3, -3, -2, -3, -1, -1, -2, -2] degrading	-2.8	0.87178	[-3, -3, -2, -3, -4, -2, -3, -4, -3, -1] degradingly	-2.7	0.64031	[-3, -2, -3, -4, -2, -3, -3, -2, -3, -2] dehumanize	-1.8	2.18174	[-2, -4, -1, -3, 2, -4, -3, 2, -1, -4] dehumanized	-1.9	0.7	[-2, -2, -2, -2, -1, -3, -2, -1, -3, -1] dehumanizes	-1.5	0.67082	[-1, -1, -1, -2, -1, -3, -2, -1, -2, -1] dehumanizing	-2.4	0.91652	[-2, -3, -4, -2, -3, -2, -3, -1, -1, -3] deject	-2.2	0.6	[-2, -3, -2, -3, -2, -2, -3, -2, -1, -2] dejected	-2.2	0.74833	[-2, -1, -2, -3, -2, -2, -2, -2, -2, -4] dejecting	-2.3	0.64031	[-2, -2, -3, -2, -3, -2, -1, -2, -3, -3] dejects	-2.0	0.63246	[-2, -2, -3, -1, -2, -1, -3, -2, -2, -2] delay	-1.3	0.45826	[-1, -1, -1, -2, -1, -1, -2, -1, -2, -1] delayed	-0.9	0.3	[-1, -1, 0, -1, -1, -1, -1, -1, -1, -1] delectable	2.9	0.83066	[3, 4, 3, 2, 3, 4, 3, 1, 3, 3] delectables	1.4	1.35647	[1, 2, 0, 4, 2, 1, 3, -1, 1, 1] delectably	2.8	0.74833	[3, 4, 3, 2, 3, 3, 3, 1, 3, 3] delicate	0.2	0.74833	[2, 0, 0, 0, 0, 0, 1, 0, -1, 0] delicately	1.0	1.26491	[1, 1, 2, 0, 1, 3, -1, 2, -1, 2] delicates	0.6	1.35647	[3, 0, 2, 1, -1, -1, 2, 0, 1, -1] delicatessen	0.4	0.8	[0, 0, 0, 0, 0, 0, 0, 2, 2, 0] delicatessens	0.4	0.8	[0, 0, 2, 0, 0, 2, 0, 0, 0, 0] delicious	2.7	0.64031	[3, 2, 3, 4, 2, 3, 3, 3, 2, 2] deliciously	1.9	0.83066	[2, 2, 1, 3, 1, 3, 2, 3, 1, 1] deliciousness	1.8	0.87178	[1, 2, 3, 3, 2, 2, 1, 2, 2, 0] delight	2.9	0.7	[2, 3, 4, 4, 3, 2, 3, 3, 2, 3] delighted	2.3	0.64031	[3, 3, 2, 3, 2, 1, 3, 2, 2, 2] delightedly	2.4	0.4899	[2, 3, 3, 3, 2, 2, 3, 2, 2, 2] delightedness	2.1	0.53852	[2, 2, 2, 2, 3, 2, 3, 2, 1, 2] delighter	2.0	0.63246	[3, 2, 2, 3, 1, 2, 2, 1, 2, 2] delighters	2.6	0.66332	[3, 2, 2, 2, 3, 2, 3, 2, 4, 3] delightful	2.8	0.6	[4, 3, 2, 3, 3, 3, 2, 2, 3, 3] delightfully	2.7	0.45826	[3, 2, 2, 2, 3, 3, 3, 3, 3, 3] delightfulness	2.1	0.7	[3, 2, 3, 1, 2, 3, 2, 2, 2, 1] delighting	1.6	1.90788	[3, 3, 3, 2, 3, 2, 3, -2, -2, 1] delights	2.0	1.54919	[2, 3, 1, -2, 2, 4, 2, 3, 3, 2] delightsome	2.3	0.45826	[3, 3, 2, 2, 2, 3, 2, 2, 2, 2] demand	-0.5	0.67082	[0, 0, 0, 0, 0, -1, -1, -1, 0, -2] demanded	-0.9	0.7	[-2, 0, 0, 0, -2, -1, -1, -1, -1, -1] demanding	-0.9	0.53852	[-1, -2, 0, -1, -1, -1, -1, -1, 0, -1] demonstration	0.4	0.91652	[0, 0, 0, 0, 0, 0, 3, 1, 0, 0] demoralized	-1.6	1.62481	[-2, -2, -2, -2, -3, 2, -2, -3, 1, -3] denied	-1.9	0.53852	[-2, -3, -1, -2, -2, -1, -2, -2, -2, -2] denier	-1.5	0.67082	[-1, -1, -1, -1, -2, -3, -2, -2, -1, -1] deniers	-1.1	1.13578	[-2, 0, -2, -1, -3, 1, 0, -1, -2, -1] denies	-1.8	0.6	[-1, -2, -1, -1, -2, -3, -2, -2, -2, -2] denounce	-1.4	0.91652	[-2, -1, -2, -1, 1, -2, -2, -1, -2, -2] denounces	-1.9	0.7	[-1, -3, -2, -3, -2, -1, -2, -2, -2, -1] deny	-1.4	0.4899	[-1, -1, -1, -1, -2, -1, -2, -2, -1, -2] denying	-1.4	0.4899	[-1, -1, -1, -2, -2, -2, -1, -2, -1, -1] depress	-2.2	0.74833	[-2, -1, -3, -3, -2, -2, -3, -3, -1, -2] depressant	-1.6	1.11355	[-3, -1, 0, -1, 0, -2, -3, -1, -3, -2] depressants	-1.6	0.91652	[-1, -1, -3, -3, -2, 0, -1, -2, -2, -1] depressed	-2.3	0.45826	[-2, -2, -2, -2, -2, -3, -3, -3, -2, -2] depresses	-2.2	0.6	[-2, -2, -2, -2, -3, -3, -1, -2, -3, -2] depressible	-1.7	0.78102	[-2, -1, 0, -3, -2, -2, -2, -1, -2, -2] depressing	-1.6	1.28062	[-2, -2, -2, 2, -3, -1, -2, -2, -2, -2] depressingly	-2.3	0.45826	[-2, -3, -2, -2, -2, -3, -3, -2, -2, -2] depression	-2.7	0.64031	[-3, -2, -2, -2, -2, -3, -4, -3, -3, -3] depressions	-2.2	0.6	[-2, -3, -3, -2, -2, -2, -3, -2, -2, -1] depressive	-1.6	1.11355	[-2, -1, -1, -2, -1, -2, -3, 1, -3, -2] depressively	-2.1	0.53852	[-3, -2, -3, -2, -2, -2, -2, -1, -2, -2] depressives	-1.5	0.5	[-2, -1, -1, -2, -1, -1, -1, -2, -2, -2] depressor	-1.8	1.16619	[-2, -4, -3, 0, 0, -2, -2, -2, -1, -2] depressors	-1.7	0.9	[-1, -1, -1, -2, -1, -2, -4, -2, -2, -1] depressurization	-0.3	0.78102	[1, 0, 0, -1, -1, 0, -2, 0, 0, 0] depressurizations	-0.4	0.91652	[0, 0, 0, 0, 1, -2, -1, 0, -2, 0] depressurize	-0.5	0.80623	[0, 0, -2, 0, -2, 0, 0, 0, 0, -1] depressurized	-0.3	0.64031	[0, 0, 0, 0, 0, 0, -1, 0, -2, 0] depressurizes	-0.3	0.64031	[0, 0, 0, 0, 0, 0, -1, 0, -2, 0] depressurizing	-0.7	1.34536	[2, 0, -1, -1, -2, -2, 1, -2, 0, -2] deprival	-2.1	0.7	[-1, -2, -2, -2, -1, -3, -3, -3, -2, -2] deprivals	-1.2	0.87178	[0, -1, -2, -1, 0, -2, -1, -1, -3, -1] deprivation	-1.8	1.4	[-3, -2, -3, -2, -1, -2, -2, 2, -2, -3] deprivations	-1.8	0.74833	[-1, -2, -3, -1, -2, -1, -2, -2, -3, -1] deprive	-2.1	0.7	[-3, -2, -1, -3, -1, -2, -2, -3, -2, -2] deprived	-2.1	0.7	[-2, -2, -2, -2, -2, -4, -2, -2, -1, -2] depriver	-1.6	0.91652	[-1, -2, -1, -2, -1, -4, -2, -1, -1, -1] deprivers	-1.4	0.66332	[-2, -1, -1, -3, -1, -1, -1, -1, -2, -1] deprives	-1.7	0.64031	[-2, -2, -1, -2, -1, -3, -2, -1, -1, -2] depriving	-2.0	0.0	[-2, -2, -2, -2, -2, -2, -2, -2, -2, -2] derail	-1.2	1.07703	[-1, 1, -1, -2, -1, -2, -1, -3, -2, 0] derailed	-1.4	0.66332	[-1, -2, -2, 0, -1, -1, -2, -1, -2, -2] derails	-1.3	0.78102	[-2, -3, -1, -2, -1, -1, 0, -1, -1, -1] deride	-1.1	1.22066	[-3, -2, -2, -1, -1, -1, 1, -2, -1, 1] derided	-0.8	0.87178	[-2, -1, -2, 0, 0, -1, -1, -1, 1, -1] derides	-1.0	1.0	[-1, -2, -2, 0, 0, 1, -1, -2, -1, -2] deriding	-1.5	0.80623	[-2, -2, 0, 0, -2, -1, -2, -2, -2, -2] derision	-1.2	1.249	[-1, -2, -2, -2, -1, -1, 1, 1, -3, -2] desirable	1.3	0.45826	[2, 1, 1, 1, 1, 1, 1, 2, 2, 1] desire	1.7	0.78102	[1, 1, 2, 1, 3, 3, 1, 2, 2, 1] desired	1.1	1.04403	[1, 1, 0, 3, 1, 0, 1, 1, 3, 0] desirous	1.3	0.64031	[1, 2, 1, 2, 2, 1, 2, 1, 0, 1] despair	-1.3	1.9	[2, -1, -3, -1, -3, 1, -3, 1, -3, -3] despaired	-2.7	0.45826	[-2, -2, -3, -3, -3, -3, -3, -2, -3, -3] despairer	-1.3	1.1	[-2, -2, -1, -3, -2, 1, -1, -1, 0, -2] despairers	-1.3	1.00499	[-2, -1, -1, 1, -2, -1, -2, -1, -1, -3] despairing	-2.3	0.64031	[-2, -1, -3, -2, -3, -2, -2, -2, -3, -3] despairingly	-2.2	0.74833	[-2, -2, -2, -2, -4, -2, -3, -1, -2, -2] despairs	-2.7	1.00499	[-3, -4, -1, -3, -4, -2, -1, -3, -3, -3] desperate	-1.3	1.34536	[-2, -1, -2, 1, -1, -2, -3, -3, -1, 1] desperately	-1.6	1.11355	[-3, -3, -2, -1, -2, -1, -2, -2, -1, 1] desperateness	-1.5	1.36015	[-1, -2, -2, -2, -3, -3, 1, -2, 1, -2] desperation	-2.0	1.0	[-2, -1, -1, -2, -3, -3, -1, -4, -1, -2] desperations	-2.2	1.66132	[-1, -4, -2, -4, -4, -1, -1, -2, 1, -4] despise	-1.4	1.35647	[-2, -3, -1, -2, -1, 1, -3, 1, -2, -2] despised	-1.7	1.48661	[-2, -1, -3, -2, -3, 1, -3, 1, -2, -3] despisement	-2.4	0.91652	[-3, -3, -2, -1, -3, -1, -4, -2, -2, -3] despisements	-2.5	1.0247	[-2, -2, -3, -2, 0, -3, -4, -3, -3, -3] despiser	-1.8	1.07703	[-2, -1, -3, 1, -2, -2, -3, -2, -2, -2] despisers	-1.6	1.35647	[-3, -3, -1, -3, -2, -1, -1, 1, 0, -3] despises	-2.0	1.26491	[-3, -1, -3, 1, -2, -1, -3, -2, -3, -3] despising	-2.7	0.9	[-4, -3, -3, -4, -1, -2, -3, -2, -2, -3] despondent	-2.1	0.53852	[-2, -2, -2, -3, -2, -2, -1, -3, -2, -2] destroy	-2.5	0.67082	[-2, -3, -3, -1, -3, -3, -3, -2, -2, -3] destroyed	-2.2	0.87178	[-1, -3, -3, -2, -1, -2, -1, -3, -3, -3] destroyer	-2.0	0.89443	[-2, -3, -3, -3, -1, -2, -2, -2, 0, -2] destroyers	-2.3	0.78102	[-1, -3, -3, -3, -2, -2, -3, -3, -1, -2] destroying	-2.6	0.91652	[-2, -4, -4, -2, -1, -3, -2, -3, -2, -3] destroys	-2.6	0.4899	[-3, -3, -3, -2, -2, -2, -3, -3, -2, -3] destruct	-2.4	0.4899	[-3, -3, -3, -2, -2, -2, -3, -2, -2, -2] destructed	-1.9	1.04403	[-4, -1, -2, -2, -2, -1, -3, -2, 0, -2] destructibility	-1.8	1.07703	[-1, -2, -1, -1, -2, -3, -2, 0, -4, -2] destructible	-1.5	1.11803	[-2, -2, -2, -1, 1, -1, -3, -1, -3, -1] destructing	-2.5	0.67082	[-2, -3, -2, -3, -2, -2, -2, -3, -2, -4] destruction	-2.7	0.9	[-4, -3, -4, -3, -2, -2, -3, -1, -2, -3] destructionist	-2.6	0.8	[-3, -4, -2, -2, -2, -3, -3, -1, -3, -3] destructionists	-2.1	0.53852	[-3, -1, -2, -2, -3, -2, -2, -2, -2, -2] destructions	-2.3	0.78102	[-3, -2, -2, -2, -1, -3, -4, -2, -2, -2] destructive	-3.0	0.63246	[-3, -4, -3, -2, -3, -3, -3, -2, -4, -3] destructively	-2.4	0.91652	[-2, -3, -1, -4, -2, -3, -3, -3, -1, -2] destructiveness	-2.4	0.91652	[-3, -3, -2, -4, -1, -2, -3, -2, -1, -3] destructivity	-2.2	1.53623	[2, -3, -3, -4, -3, -2, -2, -2, -2, -3] destructs	-2.4	0.91652	[-2, -1, -2, -4, -4, -2, -3, -2, -2, -2] detached	-0.5	1.20416	[-1, 2, -1, -1, -2, 0, 1, -2, -1, 0] detain	-1.8	0.9798	[-3, -1, -2, -2, -4, -2, -1, -1, -1, -1] detained	-1.7	0.9	[-1, -1, -1, -1, -1, -2, -2, -2, -2, -4] detention	-1.5	0.67082	[-1, -2, -1, -2, -1, -1, -3, -2, -1, -1] determinable	0.9	0.7	[2, 1, 1, 1, 0, 1, 2, 0, 0, 1] determinableness	0.2	1.07703	[0, 0, 0, 1, 0, 1, -1, 2, -2, 1] determinably	0.9	0.83066	[2, 0, 1, 1, 0, 1, 2, 2, 0, 0] determinacy	1.0	1.0	[0, 0, 0, 3, 1, 1, 2, 1, 0, 2] determinant	0.2	0.6	[0, 1, -1, 0, 1, 1, 0, 0, 0, 0] determinantal	-0.3	1.41774	[0, 0, 0, -4, 0, -1, 0, 0, 2, 0] determinate	0.8	0.87178	[2, 1, 0, 0, 0, 2, 2, 0, 1, 0] determinately	1.2	0.6	[1, 2, 0, 1, 1, 1, 2, 1, 2, 1] determinateness	1.1	0.9434	[1, 1, 1, 0, 0, 2, 3, 1, 0, 2] determination	1.7	0.78102	[2, 3, 1, 1, 1, 2, 1, 1, 2, 3] determinations	0.8	1.16619	[0, 3, 1, 0, 1, 3, 0, 0, 0, 0] determinative	1.1	1.04403	[2, 0, 3, 2, 1, 1, 0, 0, 2, 0] determinatives	0.9	1.3	[2, 0, -2, 1, 2, 2, 2, 0, 0, 2] determinator	1.1	1.04403	[3, 0, 1, 0, 1, 0, 2, 2, 0, 2] determined	1.4	1.35647	[-2, 1, 3, 2, 2, 2, 3, 1, 1, 1] devastate	-3.1	0.9434	[-4, -4, -1, -4, -4, -3, -3, -3, -2, -3] devastated	-3.0	0.89443	[-4, -3, -3, -4, -3, -1, -3, -4, -3, -2] devastates	-2.8	0.9798	[-4, -3, -2, -4, -2, -1, -3, -4, -3, -2] devastating	-3.3	0.9	[-4, -3, -4, -4, -1, -4, -3, -3, -3, -4] devastatingly	-2.4	1.28062	[-3, -4, -3, 0, -3, 0, -2, -3, -3, -3] devastation	-1.8	2.13542	[-1, -1, -3, -3, -4, -3, -4, 2, 2, -3] devastations	-1.9	1.92094	[-3, -3, -2, -2, 1, -1, 2, -4, -4, -3] devastative	-3.2	1.16619	[-4, -3, 0, -4, -4, -3, -3, -4, -3, -4] devastator	-2.8	0.74833	[-3, -3, -2, -2, -3, -2, -3, -4, -2, -4] devastators	-2.9	1.22066	[-3, -2, -3, -4, -4, -4, 0, -3, -2, -4] devil	-3.4	0.8	[-4, -3, -4, -4, -4, -4, -2, -3, -2, -4] deviled	-1.6	1.0198	[-1, -2, 0, -4, -1, -2, -2, -2, -1, -1] devilfish	-0.8	1.07703	[-2, -3, -1, 0, 0, 0, 0, -2, 0, 0] devilfishes	-0.6	1.0198	[-3, 0, -2, 0, 0, 0, 0, -1, 0, 0] deviling	-2.2	0.87178	[-1, -3, -1, -2, -3, -2, -2, -4, -2, -2] devilish	-2.1	1.04403	[-1, -2, -4, -1, -1, -2, -2, -4, -2, -2] devilishly	-1.6	0.8	[-2, -2, -3, -1, -2, -2, 0, -2, -1, -1] devilishness	-2.3	0.9	[-4, -1, -4, -2, -2, -2, -2, -2, -2, -2] devilkin	-2.4	0.91652	[-3, -1, -2, -3, -2, -4, -2, -3, -3, -1] devilled	-2.3	1.1	[-3, -1, -2, -3, 0, -4, -2, -3, -2, -3] devilling	-1.8	1.249	[-3, -1, -1, -2, -2, -3, -4, -2, 0, 0] devilment	-1.9	0.9434	[-2, -1, -2, -1, -3, -2, -2, -1, -1, -4] devilments	-1.1	0.7	[-2, -1, -2, -2, -1, 0, 0, -1, -1, -1] devilries	-1.6	1.35647	[-1, -1, -2, -4, -3, 0, -2, 0, 0, -3] devilry	-2.8	1.249	[-4, -3, 0, -2, -2, -2, -3, -4, -4, -4] devils	-2.7	0.9	[-3, -1, -3, -2, -2, -3, -4, -3, -2, -4] deviltries	-1.5	1.11803	[-1, -2, 1, -2, 0, -2, -2, -3, -2, -2] deviltry	-2.8	1.32665	[-4, -4, -3, -3, -3, -3, 1, -3, -3, -3] devilwood	-0.8	1.07703	[0, -1, -2, 0, 0, 0, 0, -3, -2, 0] devilwoods	-1.0	0.7746	[-2, 0, -2, -1, -1, 0, -1, -2, 0, -1] devote	1.4	1.28062	[3, 0, 2, -1, 0, 3, 2, 2, 1, 2] devoted	1.7	1.34536	[2, -1, 3, 2, 1, 0, 1, 3, 3, 3] devotedly	1.6	1.35647	[1, 1, 2, 2, 3, 2, 2, -2, 2, 3] devotedness	2.0	1.0	[0, 3, 2, 1, 3, 2, 2, 3, 1, 3] devotee	1.6	1.11355	[1, 3, 0, 2, 1, 2, 1, 1, 4, 1] devotees	0.5	1.0247	[0, 0, 3, 0, 0, 0, 2, 0, 0, 0] devotement	1.5	1.36015	[2, -1, 3, 2, -1, 1, 2, 3, 2, 2] devotements	1.1	1.04403	[0, 1, 0, 0, 0, 2, 2, 2, 3, 1] devotes	1.6	0.91652	[2, 3, 0, 2, 2, 3, 1, 1, 1, 1] devoting	2.1	0.7	[2, 2, 3, 1, 2, 3, 2, 3, 1, 2] devotion	2.0	1.0	[2, 0, 1, 2, 4, 3, 2, 2, 2, 2] devotional	1.2	1.16619	[0, 1, 0, 2, 2, 1, 0, 0, 3, 3] devotionally	2.2	0.4	[2, 2, 2, 3, 2, 3, 2, 2, 2, 2] devotionals	1.2	1.07703	[3, 1, 1, 0, -1, 2, 2, 2, 1, 1] devotions	1.8	0.74833	[2, 3, 1, 2, 1, 3, 1, 2, 1, 2] diamond	1.4	1.42829	[0, 0, 2, 0, 1, 3, 1, 3, 0, 4] dick	-2.3	1.18743	[-2, -3, -4, -2, 0, -4, -2, -1, -3, -2] dickhead	-3.1	0.53852	[-4, -3, -3, -3, -4, -2, -3, -3, -3, -3] die	-2.9	0.9434	[-4, -3, -1, -2, -4, -3, -3, -3, -2, -4] died	-2.6	1.28062	[-3, -1, -3, -4, -2, -4, -3, -4, -2, 0] difficult	-1.5	0.5	[-2, -2, -1, -1, -2, -1, -1, -2, -1, -2] difficulties	-1.2	0.4	[-1, -2, -1, -1, -1, -2, -1, -1, -1, -1] difficultly	-1.7	0.45826	[-1, -2, -1, -2, -2, -1, -2, -2, -2, -2] difficulty	-1.4	0.66332	[-2, -2, -2, -2, 0, -1, -1, -2, -1, -1] diffident	-1.0	0.44721	[-1, -1, -1, -1, -1, 0, -2, -1, -1, -1] dignified	2.2	0.6	[1, 2, 2, 2, 3, 3, 3, 2, 2, 2] dignifies	2.0	0.7746	[1, 3, 2, 2, 3, 3, 2, 2, 1, 1] dignify	1.8	0.74833	[1, 2, 2, 1, 3, 3, 1, 2, 2, 1] dignifying	2.1	1.04403	[1, 1, 1, 3, 1, 4, 2, 3, 2, 3] dignitaries	0.6	0.91652	[0, 0, 1, 0, 0, 0, 3, 0, 1, 1] dignitary	1.9	1.3	[0, 3, 4, 2, 3, 1, 1, 3, 0, 2] dignities	1.4	0.66332	[1, 2, 1, 1, 3, 2, 1, 1, 1, 1] dignity	1.7	0.9	[0, 3, 2, 1, 2, 1, 2, 3, 1, 2] dilemma	-0.7	1.48661	[2, -1, -2, -2, -1, -1, 2, 0, -2, -2] dipshit	-2.1	0.7	[-1, -2, -2, -3, -2, -3, -3, -2, -2, -1] dire	-2.0	1.26491	[-2, -3, -3, -2, -3, -1, -1, 1, -3, -3] direful	-3.1	0.83066	[-3, -3, -3, -3, -4, -1, -4, -3, -4, -3] dirt	-1.4	0.91652	[-1, -1, -1, 0, -3, -1, -1, -2, -3, -1] dirtier	-1.4	0.4899	[-2, -1, -1, -2, -1, -2, -1, -1, -2, -1] dirtiest	-2.4	1.0198	[-4, -3, -2, -1, -2, -3, -1, -2, -4, -2] dirty	-1.9	0.83066	[-2, -1, -1, -1, -2, -2, -1, -3, -3, -3] disabling	-2.1	0.53852	[-2, -1, -3, -3, -2, -2, -2, -2, -2, -2] disadvantage	-1.8	0.4	[-2, -2, -1, -2, -2, -1, -2, -2, -2, -2] disadvantaged	-1.7	0.64031	[-2, -2, -3, -1, -2, -2, -2, -1, -1, -1] disadvantageous	-1.8	0.74833	[-1, -2, -2, -1, -3, -1, -1, -2, -3, -2] disadvantageously	-2.1	0.83066	[-2, -4, -1, -2, -1, -2, -2, -2, -3, -2] disadvantageousness	-1.6	0.66332	[-1, -1, -3, -2, -1, -1, -2, -1, -2, -2] disadvantages	-1.7	0.64031	[-2, -2, -3, -1, -2, -2, -2, -1, -1, -1] disagree	-1.6	0.4899	[-1, -2, -1, -1, -2, -2, -2, -2, -1, -2] disagreeable	-1.7	0.64031	[-1, -2, -1, -1, -1, -2, -2, -2, -3, -2] disagreeableness	-1.7	0.64031	[-1, -1, -2, -2, -1, -2, -3, -1, -2, -2] disagreeablenesses	-1.9	0.9434	[-2, 0, -3, -1, -2, -3, -2, -1, -3, -2] disagreeably	-1.5	0.67082	[-3, -2, -1, -1, -1, -2, -1, -2, -1, -1] disagreed	-1.3	0.64031	[-1, -2, -1, -1, -2, 0, -1, -2, -1, -2] disagreeing	-1.4	0.8	[-1, 0, -1, -2, -2, -1, -3, -1, -1, -2] disagreement	-1.5	0.67082	[-2, -1, -1, -1, -1, -1, -1, -3, -2, -2] disagreements	-1.8	0.6	[-2, -3, -1, -2, -2, -1, -2, -2, -1, -2] disagrees	-1.3	0.45826	[-1, -2, -1, -1, -1, -1, -1, -2, -1, -2] disappear	-0.9	0.7	[-2, -1, 0, 0, -2, -1, -1, -1, 0, -1] disappeared	-0.9	0.7	[-2, 0, -1, -1, 0, 0, -2, -1, -1, -1] disappears	-1.4	0.8	[-2, -2, 0, 0, -2, -1, -2, -1, -2, -2] disappoint	-1.7	0.64031	[-1, -1, -1, -3, -2, -2, -2, -1, -2, -2] disappointed	-2.1	0.83066	[-1, -3, -2, -2, -3, -1, -1, -2, -3, -3] disappointedly	-1.7	0.78102	[-3, -1, -3, -1, -2, -1, -1, -2, -2, -1] disappointing	-2.2	0.6	[-1, -2, -2, -3, -3, -2, -2, -2, -3, -2] disappointingly	-1.9	0.7	[-2, -1, -1, -3, -2, -3, -2, -2, -1, -2] disappointment	-2.3	1.00499	[-3, -1, -4, -1, -3, -1, -3, -2, -2, -3] disappointments	-2.0	1.09545	[-1, -2, -4, -3, -2, -2, -3, 0, -2, -1] disappoints	-1.6	0.4899	[-2, -1, -1, -1, -2, -1, -2, -2, -2, -2] disaster	-3.1	0.83066	[-2, -4, -4, -3, -3, -2, -4, -3, -2, -4] disasters	-2.6	0.8	[-2, -2, -3, -1, -3, -3, -2, -4, -3, -3] disastrous	-2.9	0.53852	[-2, -2, -3, -3, -3, -3, -4, -3, -3, -3] disbelieve	-1.2	0.87178	[-1, -2, -1, -2, -1, 0, 0, -1, -3, -1] discard	-1.0	0.44721	[-1, -1, -1, -1, 0, -1, -1, -1, -2, -1] discarded	-1.4	0.91652	[-1, -1, -1, -1, 0, -1, -2, -3, -3, -1] discarding	-0.7	0.45826	[-1, 0, -1, -1, -1, 0, -1, 0, -1, -1] discards	-1.0	0.63246	[0, -1, -1, -1, -2, 0, -2, -1, -1, -1] discomfort	-1.8	0.6	[-2, -2, -2, -1, -1, -3, -2, -2, -1, -2] discomfortable	-1.6	0.8	[-1, -1, -1, -2, -3, -1, -2, -1, -3, -1] discomforted	-1.6	0.8	[-1, -1, -1, -2, -3, -3, -1, -1, -1, -2] discomforting	-1.6	1.11355	[-1, -2, -1, -1, -2, 1, -3, -2, -3, -2] discomforts	-1.3	0.9	[-2, -1, -2, -1, -1, -2, -2, -1, 1, -2] disconsolate	-2.3	0.78102	[-1, -2, -2, -3, -2, -2, -2, -4, -3, -2] disconsolation	-1.7	0.45826	[-2, -2, -1, -2, -1, -1, -2, -2, -2, -2] discontented	-1.8	0.9798	[-1, -3, -1, -2, -4, -2, -1, -2, -1, -1] discord	-1.7	0.64031	[-3, -2, -2, -2, -2, -1, -1, -1, -1, -2] discounted	0.2	1.249	[-1, 0, 3, -1, 0, 1, 1, 1, -1, -1] discourage	-1.8	0.6	[-2, -2, -1, -2, -1, -1, -2, -2, -3, -2] discourageable	-1.2	0.9798	[-1, -2, -1, 1, -1, -1, -1, -2, -3, -1] discouraged	-1.7	0.45826	[-2, -1, -2, -2, -2, -2, -1, -1, -2, -2] discouragement	-2.0	0.89443	[-4, -1, -2, -2, -1, -1, -3, -2, -2, -2] discouragements	-1.8	0.6	[-2, -2, -2, -1, -1, -3, -2, -1, -2, -2] discourager	-1.7	0.78102	[-2, -1, -3, -2, -1, -3, -1, -2, -1, -1] discouragers	-1.9	0.53852	[-2, -2, -2, -2, -1, -1, -3, -2, -2, -2] discourages	-1.9	0.53852	[-2, -1, -2, -2, -2, -2, -1, -3, -2, -2] discouraging	-1.9	0.7	[-2, -2, -2, -3, -1, -1, -2, -1, -2, -3] discouragingly	-1.8	0.87178	[-2, -1, -3, -1, -1, -3, -2, -1, -3, -1] discredited	-1.9	0.53852	[-2, -2, -2, -2, -1, -3, -1, -2, -2, -2] disdain	-2.1	0.3	[-3, -2, -2, -2, -2, -2, -2, -2, -2, -2] disgrace	-2.2	0.74833	[-2, -4, -1, -2, -2, -2, -2, -3, -2, -2] disgraced	-2.0	0.44721	[-3, -2, -2, -2, -1, -2, -2, -2, -2, -2] disguise	-1.0	1.09545	[-2, -1, 0, 0, 0, 0, -3, -2, -2, 0] disguised	-1.1	1.04403	[-3, 0, 0, -1, -1, 0, -3, -1, -1, -1] disguises	-1.0	0.63246	[-2, 0, 0, -1, -1, -1, -2, -1, -1, -1] disguising	-1.3	0.78102	[0, -2, -1, -1, -1, -2, -1, -1, -3, -1] disgust	-2.9	0.7	[-3, -3, -4, -2, -3, -3, -4, -2, -3, -2] disgusted	-2.4	0.91652	[-4, -3, -3, -1, -3, -1, -2, -2, -2, -3] disgustedly	-3.0	0.89443	[-2, -3, -4, -4, -2, -4, -4, -2, -3, -2] disgustful	-2.6	0.4899	[-3, -3, -2, -2, -2, -2, -3, -3, -3, -3] disgusting	-2.4	1.11355	[-3, -2, -3, -4, -1, -3, -1, -4, -1, -2] disgustingly	-2.9	0.7	[-3, -3, -4, -3, -3, -2, -2, -4, -2, -3] disgusts	-2.1	0.53852	[-2, -2, -3, -2, -2, -2, -2, -3, -1, -2] dishearten	-2.0	0.63246	[-3, -1, -2, -3, -2, -2, -1, -2, -2, -2] disheartened	-2.2	0.74833	[-2, -2, -2, -1, -2, -2, -4, -3, -2, -2] disheartening	-1.8	1.32665	[-2, -2, -2, -3, -2, 2, -2, -2, -3, -2] dishearteningly	-2.0	0.63246	[-2, -3, -2, -1, -2, -2, -2, -3, -2, -1] disheartenment	-2.3	0.45826	[-3, -2, -3, -2, -2, -2, -2, -3, -2, -2] disheartenments	-2.2	0.87178	[-2, -3, -3, -3, -3, -1, -1, -1, -2, -3] disheartens	-2.2	0.4	[-3, -2, -2, -2, -3, -2, -2, -2, -2, -2] dishonest	-2.7	0.9	[-3, -2, -1, -4, -3, -2, -4, -3, -3, -2] disillusion	-1.0	1.18322	[-2, 0, -2, -1, -2, 1, -2, -1, 1, -2] disillusioned	-1.9	0.7	[-2, -2, -3, -2, -3, -1, -1, -1, -2, -2] disillusioning	-1.3	1.00499	[-2, -2, 1, -2, 0, -2, -2, -1, -1, -2] disillusionment	-1.7	0.78102	[-1, -3, -2, -3, -1, -2, -2, -1, -1, -1] disillusionments	-1.5	1.0247	[-2, 1, -3, -2, -1, -1, -2, -1, -2, -2] disillusions	-1.6	0.4899	[-2, -2, -2, -1, -1, -1, -2, -2, -1, -2] disinclined	-1.1	0.53852	[0, -1, -1, -1, -1, -1, -1, -2, -2, -1] disjointed	-1.3	0.45826	[-1, -1, -2, -1, -1, -2, -1, -2, -1, -1] dislike	-1.6	0.4899	[-2, -1, -1, -2, -2, -1, -2, -1, -2, -2] disliked	-1.7	0.64031	[-2, -3, -2, -1, -1, -1, -2, -2, -1, -2] dislikes	-1.7	0.78102	[-2, -2, -1, -1, -2, -1, -3, -3, -1, -1] disliking	-1.3	0.45826	[-1, -1, -2, -2, -2, -1, -1, -1, -1, -1] dismal	-3.0	1.0	[-2, -1, -4, -4, -3, -2, -3, -4, -4, -3] dismay	-1.8	0.87178	[-3, -1, -1, -3, -1, -1, -3, -1, -2, -2] dismayed	-1.9	0.9434	[-1, -2, -1, -3, -4, -1, -2, -2, -1, -2] dismaying	-2.2	0.9798	[-2, -3, -2, -3, -3, 0, -2, -1, -3, -3] dismayingly	-1.9	0.83066	[-2, -3, -2, -3, -2, -1, -2, -2, 0, -2] dismays	-1.8	1.07703	[-1, -1, -4, -3, -2, -1, -2, 0, -2, -2] disorder	-1.7	0.64031	[-2, -1, -1, -2, -2, -1, -3, -1, -2, -2] disorganized	-1.2	0.4	[-1, -1, -1, -1, -1, -2, -1, -2, -1, -1] disoriented	-1.5	0.67082	[-2, -2, -1, 0, -1, -2, -2, -1, -2, -2] disparage	-2.0	0.44721	[-2, -2, -2, -1, -2, -2, -2, -3, -2, -2] disparaged	-1.4	0.8	[-1, -2, -2, -3, -1, -1, -1, -2, 0, -1] disparages	-1.6	0.8	[-1, -2, -3, -2, -1, -1, -2, -2, 0, -2] disparaging	-2.2	0.6	[-3, -1, -2, -2, -2, -3, -3, -2, -2, -2] displeased	-1.9	0.7	[-3, -2, -1, -1, -3, -2, -2, -1, -2, -2] dispute	-1.7	0.78102	[-1, -3, -1, -1, -2, -1, -2, -2, -3, -1] disputed	-1.4	0.66332	[-2, -2, -2, -2, 0, -1, -1, -1, -1, -2] disputes	-1.1	1.64012	[-2, -2, -2, 2, -3, -1, -2, 2, -1, -2] disputing	-1.7	0.64031	[-2, -2, -2, -2, -1, -1, -3, -1, -1, -2] disqualified	-1.8	0.6	[-1, -2, -1, -2, -1, -2, -2, -3, -2, -2] disquiet	-1.3	0.9	[-1, -2, -2, -1, -1, -1, 1, -2, -2, -2] disregard	-1.1	0.53852	[-1, -1, -2, -1, -1, -2, -1, -1, 0, -1] disregarded	-1.6	0.4899	[-1, -1, -2, -2, -2, -2, -1, -2, -1, -2] disregarding	-0.9	0.53852	[-1, 0, -1, 0, -2, -1, -1, -1, -1, -1] disregards	-1.4	0.4899	[-1, -1, -2, -1, -2, -2, -2, -1, -1, -1] disrespect	-1.8	0.6	[-2, -2, -2, -1, -2, -2, -1, -3, -1, -2] disrespected	-2.0	0.63246	[-2, -2, -2, -2, -2, -3, -3, -1, -1, -2] disruption	-1.5	0.67082	[-1, -1, -1, -2, -1, -3, -2, -2, -1, -1] disruptions	-1.4	0.4899	[-1, -2, -1, -1, -1, -2, -2, -2, -1, -1] disruptive	-1.3	1.00499	[-4, 0, -1, -1, -1, -1, -1, -1, -2, -1] dissatisfaction	-2.2	0.74833	[-4, -2, -2, -2, -1, -3, -2, -2, -2, -2] dissatisfactions	-1.9	0.83066	[-1, -3, -3, -1, -2, -1, -2, -2, -1, -3] dissatisfactory	-2.0	0.63246	[-2, -2, -3, -1, -2, -3, -2, -2, -1, -2] dissatisfied	-1.6	0.66332	[-2, -3, -1, -2, -1, -1, -2, -2, -1, -1] dissatisfies	-1.8	0.74833	[-3, -3, -1, -1, -2, -1, -2, -2, -2, -1] dissatisfy	-2.2	0.6	[-2, -3, -2, -2, -2, -2, -3, -3, -1, -2] dissatisfying	-2.4	0.91652	[-3, -1, -4, -3, -2, -1, -2, -2, -3, -3] distort	-1.3	0.45826	[-2, -1, -1, -1, -2, -1, -1, -1, -1, -2] distorted	-1.7	0.78102	[-3, -1, -3, -1, -2, -1, -2, -2, -1, -1] distorting	-1.1	0.53852	[0, -1, -1, -1, -2, -1, -1, -1, -2, -1] distorts	-1.4	0.4899	[-2, -1, -1, -1, -2, -2, -2, -1, -1, -1] distract	-1.2	0.6	[-1, -1, 0, -2, -1, -1, -1, -2, -1, -2] distractable	-1.3	1.00499	[-2, 0, 1, -2, -2, -1, -1, -2, -2, -2] distracted	-1.4	0.66332	[-1, -3, -1, -2, -2, -1, -1, -1, -1, -1] distractedly	-0.9	0.7	[-1, -1, 0, -2, -1, 0, -1, 0, -1, -2] distractibility	-1.3	1.1	[-1, -1, -3, -1, 0, -3, -2, 0, -2, 0] distractible	-1.5	0.92195	[-1, -2, -1, -1, -4, -1, -1, -1, -2, -1] distracting	-1.2	0.4	[-2, -1, -1, -1, -1, -1, -2, -1, -1, -1] distractingly	-1.4	1.0198	[-4, 0, -1, -1, -1, -2, -1, -1, -2, -1] distraction	-1.6	0.66332	[-1, -2, -2, -1, -1, -3, -1, -1, -2, -2] distractions	-1.0	0.0	[-1, -1, -1, -1, -1, -1, -1, -1, -1, -1] distractive	-1.6	0.4899	[-2, -2, -1, -1, -1, -1, -2, -2, -2, -2] distracts	-1.3	0.45826	[-1, -1, -2, -1, -1, -2, -1, -2, -1, -1] distraught	-2.6	0.8	[-2, -3, -2, -3, -4, -2, -3, -3, -1, -3] distress	-2.4	0.8	[-1, -2, -2, -3, -3, -4, -3, -2, -2, -2] distressed	-1.8	0.6	[-2, -2, -2, -3, -2, -2, -1, -1, -2, -1] distresses	-1.6	0.66332	[-2, -1, -1, -2, -2, -2, -1, -1, -3, -1] distressful	-2.2	0.6	[-1, -3, -3, -2, -2, -3, -2, -2, -2, -2] distressfully	-1.7	1.1	[-1, -3, -2, 1, -3, -1, -2, -2, -2, -2] distressfulness	-2.4	0.66332	[-2, -3, -2, -3, -3, -3, -2, -1, -3, -2] distressing	-1.7	1.18743	[-3, -3, -1, -1, -2, -2, -3, -2, 1, -1] distressingly	-2.2	0.74833	[-3, -1, -2, -3, -3, -3, -2, -2, -2, -1] distrust	-1.8	0.87178	[-1, -2, -2, -2, -1, -1, -2, -4, -1, -2] distrusted	-2.4	0.66332	[-1, -3, -3, -3, -2, -2, -3, -2, -2, -3] distrustful	-2.1	0.83066	[-1, -3, -2, -2, -3, -1, -1, -3, -2, -3] distrustfully	-1.8	0.6	[-2, -1, -1, -2, -1, -2, -3, -2, -2, -2] distrustfulness	-1.6	0.66332	[-2, -1, -2, -1, -2, -1, -1, -3, -1, -2] distrusting	-2.1	0.83066	[-1, -2, -2, -2, -3, -3, -1, -3, -1, -3] distrusts	-1.3	0.45826	[-1, -1, -2, -1, -2, -1, -2, -1, -1, -1] disturb	-1.7	0.45826	[-2, -1, -1, -2, -2, -2, -1, -2, -2, -2] disturbance	-1.6	0.8	[-1, -2, -1, -2, -2, -3, -1, -2, 0, -2] disturbances	-1.4	0.66332	[-1, -1, -1, -2, -1, -1, -1, -1, -3, -2] disturbed	-1.6	0.4899	[-2, -2, -1, -1, -2, -2, -1, -2, -1, -2] disturber	-1.4	0.4899	[-2, -1, -1, -2, -2, -1, -1, -2, -1, -1] disturbers	-2.1	0.53852	[-2, -2, -2, -2, -2, -3, -3, -2, -1, -2] disturbing	-2.3	0.45826	[-2, -2, -3, -3, -2, -2, -3, -2, -2, -2] disturbingly	-2.3	0.78102	[-2, -2, -1, -3, -4, -3, -2, -2, -2, -2] disturbs	-1.9	0.53852	[-2, -2, -1, -2, -3, -2, -1, -2, -2, -2] dithering	-0.5	0.92195	[0, 0, 0, 0, 1, -1, -2, -2, -1, 0] divination	1.7	1.1	[2, 3, 0, 1, 2, 1, 3, 3, 2, 0] divinations	1.1	1.04403	[1, 0, 1, 2, 2, 0, 3, 2, 0, 0] divinatory	1.6	1.42829	[4, 1, 0, 0, 1, 3, 3, 0, 1, 3] divine	2.6	0.8	[3, 3, 3, 2, 1, 2, 3, 4, 2, 3] divined	0.8	1.16619	[1, 0, 3, 0, 0, 1, 0, 3, 0, 0] divinely	2.9	0.7	[3, 2, 3, 3, 2, 4, 3, 2, 4, 3] diviner	0.3	0.9	[0, 0, 3, 0, 0, 0, 0, 0, 0, 0] diviners	1.2	1.16619	[0, 1, 0, 2, 2, 0, 3, 1, 3, 0] divines	0.8	1.249	[0, 0, 3, 0, 0, 0, 3, 2, 0, 0] divinest	2.7	0.78102	[3, 4, 2, 4, 2, 2, 2, 3, 2, 3] diving	0.3	0.45826	[1, 0, 0, 0, 0, 1, 0, 1, 0, 0] divining	0.9	1.37477	[0, -1, 2, 0, 1, 0, 2, 4, 1, 0] divinise	0.5	1.36015	[0, 2, 0, 0, 0, 0, 0, -2, 2, 3] divinities	1.8	1.46969	[1, 3, 3, 4, 0, 0, 1, 0, 3, 3] divinity	2.7	1.00499	[4, 4, 2, 3, 3, 1, 2, 4, 2, 2] divinize	2.3	1.00499	[4, 2, 2, 3, 4, 1, 1, 2, 2, 2] dizzy	-0.9	0.3	[-1, -1, -1, -1, -1, -1, -1, -1, 0, -1] dodging	-0.4	0.8	[-1, -1, 0, 1, 0, -1, 0, 0, -2, 0] dodgy	-0.9	0.9434	[-1, -1, -1, -3, -1, 1, -1, -1, -1, 0] dolorous	-2.2	0.6	[-2, -2, -2, -3, -3, -3, -2, -2, -1, -2] dominance	0.8	0.87178	[2, 0, 0, 2, 1, 0, 0, 1, 2, 0] dominances	-0.1	0.9434	[-1, 0, 1, 1, 0, -1, 0, 1, 0, -2] dominantly	0.2	1.16619	[-2, 0, 0, -1, 2, 1, 2, 0, 0, 0] dominants	0.2	1.16619	[0, 2, -1, 0, -1, -1, -1, 1, 1, 2] dominate	-0.5	0.92195	[0, -1, 1, -1, 1, -1, -2, 0, -1, -1] dominates	0.2	1.249	[1, 0, -2, -1, 1, -1, 2, 0, 0, 2] dominating	-1.2	1.98997	[-4, -1, -4, -1, -3, -1, -1, 2, 2, -1] domination	-0.2	0.9798	[0, 1, 0, -1, -1, -1, 0, 2, -1, -1] dominations	-0.3	0.45826	[0, 0, 0, 0, 0, -1, 0, -1, -1, 0] dominative	-0.7	1.18743	[-1, -1, -2, -2, -1, -1, -1, 2, 1, -1] dominators	-0.4	1.8	[-1, -2, -2, -2, 0, 2, 2, -3, 2, 0] dominatrices	-0.2	1.6	[-3, 0, 2, 0, -2, -2, 0, 1, 2, 0] dominatrix	-0.5	0.92195	[0, 0, -1, 0, 0, 1, 0, -1, -2, -2] dominatrixes	0.6	1.35647	[0, 4, 0, -1, 0, 2, 1, 0, 0, 0] doom	-1.7	1.26886	[-2, -1, -1, -4, -2, -2, 1, -3, -1, -2] doomed	-3.2	0.74833	[-3, -3, -4, -4, -4, -2, -4, -3, -3, -2] doomful	-2.1	0.7	[-3, -2, -3, -1, -2, -3, -2, -1, -2, -2] dooming	-2.8	0.4	[-2, -3, -2, -3, -3, -3, -3, -3, -3, -3] dooms	-1.1	1.57797	[1, -3, -1, -3, -2, -1, -3, 1, 1, -1] doomsayer	-0.7	1.41774	[2, -1, -2, -1, 1, -2, -2, -1, 1, -2] doomsayers	-1.7	0.78102	[-1, -2, -3, 0, -2, -2, -2, -1, -2, -2] doomsaying	-1.5	1.28452	[-3, -2, -2, 0, 1, 0, -3, -2, -2, -2] doomsayings	-1.5	0.92195	[-2, -1, -1, -2, -2, 0, 0, -2, -3, -2] doomsday	-2.8	1.249	[-3, -1, -3, -4, -3, -4, 0, -4, -3, -3] doomsdayer	-2.2	1.249	[-3, -1, -4, -3, -4, -3, -1, -1, -1, -1] doomsdays	-2.4	1.85472	[-3, -2, -4, 1, -4, -3, -2, -4, 1, -4] doomster	-2.2	0.87178	[-2, -1, -2, -3, -1, -3, -1, -3, -3, -3] doomsters	-1.6	0.8	[-3, -1, -2, -2, 0, -2, -2, -1, -1, -2] doomy	-1.1	1.37477	[2, -2, -1, -2, -2, -2, -2, 1, -1, -2] dork	-1.4	0.66332	[-1, -2, -2, -1, -1, -1, -3, -1, -1, -1] dorkier	-1.1	0.53852	[-1, -1, -1, -1, -2, 0, -1, -2, -1, -1] dorkiest	-1.2	0.74833	[-1, -2, -1, -3, -1, 0, -1, -1, -1, -1] dorks	-0.5	0.67082	[-1, 1, -1, -1, -1, -1, 0, 0, -1, 0] dorky	-1.1	1.04403	[-1, 0, -1, 1, -1, -1, -3, -2, -2, -1] doubt	-1.5	0.5	[-1, -1, -2, -2, -1, -1, -2, -1, -2, -2] doubtable	-1.5	0.5	[-1, -1, -2, -1, -2, -1, -2, -2, -1, -2] doubted	-1.1	1.22066	[-1, -2, -2, 2, -1, -1, -2, -2, -2, 0] doubter	-1.6	0.91652	[-1, -3, -2, -1, -1, -1, -2, -2, -3, 0] doubters	-1.3	0.45826	[-1, -1, -1, -1, -1, -2, -1, -2, -2, -1] doubtful	-1.4	0.4899	[-1, -1, -2, -1, -2, -2, -1, -1, -2, -1] doubtfully	-1.2	0.4	[-1, -1, -1, -1, -1, -1, -2, -1, -1, -2] doubtfulness	-1.2	0.4	[-2, -1, -1, -1, -1, -1, -1, -1, -1, -2] doubting	-1.4	0.4899	[-1, -1, -1, -2, -2, -1, -1, -1, -2, -2] doubtingly	-1.4	0.4899	[-2, -2, -1, -1, -1, -1, -1, -2, -2, -1] doubtless	0.9	1.51327	[2, 2, 1, 2, -2, 2, -2, 1, 1, 2] doubtlessly	1.2	0.9798	[2, 1, 1, 2, 0, -1, 2, 1, 2, 2] doubtlessness	0.8	0.9798	[2, 1, 2, 0, 0, 0, 2, -1, 1, 1] doubts	-1.2	0.6	[-2, -1, -1, -1, -2, -2, -1, 0, -1, -1] douche	-1.5	1.68819	[-3, -2, -3, 1, 1, -2, -3, -2, 1, -3] douchebag	-3.0	0.44721	[-3, -3, -3, -3, -3, -3, -2, -3, -4, -3] downcast	-1.8	0.74833	[-1, -1, -1, -2, -2, -2, -1, -3, -3, -2] downhearted	-2.3	0.78102	[-1, -2, -2, -4, -2, -2, -2, -3, -3, -2] downside	-1.0	0.7746	[-1, -1, -1, -1, -1, -1, -2, 1, -2, -1] drag	-0.9	0.83066	[-1, -2, -1, -1, -2, -1, -1, 1, 0, -1] dragged	-0.2	1.07703	[-2, -1, 0, 0, -1, 0, 0, 1, 2, -1] drags	-0.7	0.64031	[0, -1, 0, -1, -1, -2, -1, 0, 0, -1] drained	-1.5	0.5	[-1, -1, -2, -2, -1, -2, -1, -2, -1, -2] dread	-2.0	0.63246	[-2, -3, -2, -2, -2, -2, -3, -1, -1, -2] dreaded	-2.7	0.64031	[-2, -3, -3, -3, -4, -3, -2, -2, -2, -3] dreadful	-1.9	1.86815	[-4, -2, -2, 2, -1, -4, -1, 0, -3, -4] dreadfully	-2.7	1.26886	[-4, -4, -3, -4, -3, -1, -2, -1, -1, -4] dreadfulness	-3.2	0.87178	[-3, -4, -2, -3, -4, -4, -2, -2, -4, -4] dreadfuls	-2.4	1.2	[-4, -3, -3, -2, -3, -2, -4, 0, -1, -2] dreading	-2.4	0.8	[-3, -2, -2, -2, -2, -2, -3, -4, -3, -1] dreadlock	-0.4	0.66332	[0, 0, 0, 0, 0, -1, -2, 0, -1, 0] dreadlocks	-0.2	0.9798	[0, 0, 0, 0, 0, -1, -2, 2, 0, -1] dreadnought	-0.6	1.35647	[-2, 0, 0, 0, -3, 0, -1, -2, 0, 2] dreadnoughts	-0.4	0.66332	[0, -1, -1, 0, 0, 0, 0, 0, -2, 0] dreads	-1.4	1.42829	[0, -1, 0, 0, -3, -3, 0, -4, -2, -1] dream	1.0	1.18322	[0, 1, 2, 0, 0, 3, 0, 3, 1, 0] dreams	1.7	1.1	[2, 2, 3, 0, 1, 1, 1, 4, 1, 2] dreary	-1.4	0.4899	[-1, -1, -2, -1, -1, -2, -2, -1, -2, -1] droopy	-0.8	0.74833	[-1, -1, 0, -1, -2, 0, 0, -1, 0, -2] drop	-1.1	0.53852	[0, -1, -1, -1, -2, -1, -2, -1, -1, -1] drown	-2.7	1.00499	[-4, -2, -2, -4, -4, -2, -3, -1, -3, -2] drowned	-2.9	0.7	[-2, -3, -3, -3, -2, -4, -4, -2, -3, -3] drowns	-2.2	1.6	[-3, -3, -3, -4, -2, -3, -1, -2, 2, -3] drunk	-1.4	0.91652	[-3, -1, 0, -2, 0, -1, -1, -2, -2, -2] dubious	-1.5	0.5	[-1, -2, -2, -1, -1, -2, -1, -1, -2, -2] dud	-1.0	0.89443	[-1, -1, -1, 0, -3, 0, -1, 0, -1, -2] dull	-1.7	0.45826	[-2, -2, -2, -1, -2, -2, -2, -1, -1, -2] dullard	-1.6	0.66332	[-2, -1, -1, -2, -2, -1, -1, -2, -1, -3] dullards	-1.8	0.87178	[-1, -3, -1, -1, -3, -1, -1, -2, -3, -2] dulled	-1.5	0.5	[-2, -1, -2, -1, -1, -1, -2, -2, -1, -2] duller	-1.7	0.64031	[-3, -1, -2, -2, -2, -1, -2, -1, -1, -2] dullest	-1.7	1.00499	[-1, -4, -1, -1, -2, -3, -2, -1, -1, -1] dulling	-1.1	0.7	[-1, -2, 0, -1, -2, -2, 0, -1, -1, -1] dullish	-1.1	0.53852	[-2, -1, -1, -1, -1, -1, -1, -1, 0, -2] dullness	-1.4	0.8	[-1, -1, -1, -1, -1, -1, -3, -1, -3, -1] dullnesses	-1.9	1.04403	[-3, -2, -1, -1, -3, -1, -4, -1, -2, -1] dulls	-1.0	0.44721	[-1, -1, -1, -1, -1, -1, 0, -1, -1, -2] dullsville	-2.4	0.8	[-2, -2, -4, -3, -2, -2, -3, -2, -3, -1] dully	-1.1	0.3	[-1, -1, -1, -1, -1, -1, -1, -1, -1, -2] dumb	-2.3	0.9	[-4, -2, -2, -2, -2, -2, -4, -2, -2, -1] dumbass	-2.6	1.0198	[-3, -3, -4, -4, -1, -2, -3, -3, -1, -2] dumbbell	-0.8	0.9798	[0, -1, -3, -2, 0, -1, 0, 0, -1, 0] dumbbells	-0.2	0.4	[0, -1, 0, 0, 0, 0, 0, -1, 0, 0] dumbcane	-0.3	0.45826	[0, 0, 0, 0, 0, -1, -1, 0, -1, 0] dumbcanes	-0.6	1.2	[0, 0, -1, -1, -1, 2, 0, -1, -3, -1] dumbed	-1.4	0.4899	[-2, -1, -2, -2, -2, -1, -1, -1, -1, -1] dumber	-1.5	0.5	[-2, -1, -2, -1, -2, -1, -1, -2, -2, -1] dumbest	-2.3	1.00499	[-3, -1, -3, -4, -2, -1, -2, -3, -1, -3] dumbfound	-0.1	1.92094	[3, -2, -1, -1, 1, 1, -3, 3, -1, -1] dumbfounded	-1.6	1.11355	[-2, 0, -2, 0, -2, -1, -4, -1, -2, -2] dumbfounder	-1.0	0.89443	[-2, 0, 0, 0, -2, -1, -2, 0, -2, -1] dumbfounders	-1.0	0.89443	[-1, -3, -1, 0, -2, 0, -1, 0, -1, -1] dumbfounding	-0.8	0.74833	[-1, -2, 0, -1, -1, 0, 0, -1, 0, -2] dumbfounds	-0.3	1.26886	[0, -1, -1, 0, 0, -1, -1, -2, 0, 3] dumbhead	-2.6	0.66332	[-3, -4, -3, -2, -2, -3, -3, -2, -2, -2] dumbheads	-1.9	0.83066	[-2, -2, -2, -1, -2, -1, -2, -4, -1, -2] dumbing	-0.5	1.0247	[-1, 2, -1, 0, -1, -2, -1, 0, 0, -1] dumbly	-1.3	1.00499	[-2, -1, -2, -3, 1, -2, -1, -1, -1, -1] dumbness	-1.9	0.53852	[-2, -2, -2, -2, -2, -3, -2, -2, -1, -1] dumbs	-1.5	0.67082	[-1, -1, -1, -3, -2, -1, -2, -1, -2, -1] dumbstruck	-1.0	1.34164	[-1, -2, 0, 0, -2, 1, -3, 1, -2, -2] dumbwaiter	0.2	1.07703	[0, 0, 0, 0, 2, 0, 2, 0, -2, 0] dumbwaiters	-0.1	0.3	[0, 0, 0, 0, 0, 0, -1, 0, 0, 0] dump	-1.6	0.91652	[-3, -2, -1, -2, -1, -3, -2, -1, -1, 0] dumpcart	-0.6	0.8	[0, -2, -1, 0, 0, 0, -1, 0, -2, 0] dumped	-1.7	0.78102	[-2, -3, -2, -1, -1, -1, -3, -2, -1, -1] dumper	-1.2	0.87178	[-2, -3, -1, -1, -1, -2, 0, -1, 0, -1] dumpers	-0.8	0.6	[0, 0, -2, -1, -1, 0, -1, -1, -1, -1] dumpier	-1.4	0.66332	[-2, -1, -2, -1, -1, -2, 0, -2, -1, -2] dumpiest	-1.6	1.35647	[-1, -2, -2, -3, -2, -4, 1, 0, -1, -2] dumpiness	-1.2	0.6	[-2, -1, 0, -1, -1, -2, -1, -2, -1, -1] dumping	-1.3	1.1	[-3, -2, -2, 0, -2, -1, -1, 1, -1, -2] dumpings	-1.1	0.83066	[-2, 0, -1, -1, 0, -1, -2, -2, 0, -2] dumpish	-1.8	0.6	[-2, -1, -2, -3, -2, -2, -1, -2, -2, -1] dumpling	0.4	0.91652	[0, 0, 1, 0, -1, 2, 2, 0, 0, 0] dumplings	-0.3	1.26886	[0, 0, 0, 0, 2, 0, 0, 0, -2, -3] dumps	-1.7	0.9	[-3, -2, -3, -1, -1, -3, -1, -1, -1, -1] dumpster	-0.6	0.91652	[0, -2, 0, -2, 0, 0, 0, -2, 0, 0] dumpsters	-1.0	0.89443	[0, -1, 0, -2, -2, -2, 0, 0, -1, -2] dumpy	-1.7	0.78102	[-3, -2, -3, -1, -1, -2, -2, -1, -1, -1] dupe	-1.5	0.5	[-2, -2, -1, -1, -2, -1, -2, -1, -2, -1] duped	-1.8	0.4	[-2, -2, -1, -2, -2, -2, -2, -1, -2, -2] dwell	0.5	0.92195	[2, 1, -1, 0, -1, 1, 1, 1, 1, 0] dwelled	0.4	0.66332	[2, 0, 0, 0, 0, 1, 1, 0, 0, 0] dweller	0.3	0.64031	[2, 0, 0, 0, 0, 0, 1, 0, 0, 0] dwellers	-0.3	0.9	[-3, 0, 0, 0, 0, 0, 0, 0, 0, 0] dwelling	0.1	0.53852	[0, 1, 0, 1, 0, 0, 0, -1, 0, 0] dwells	-0.1	0.53852	[0, 0, 0, 0, -1, 1, -1, 0, 0, 0] dynamic	1.6	0.8	[1, 1, 1, 3, 1, 1, 2, 3, 2, 1] dynamical	1.2	0.87178	[1, 2, 0, 1, 0, 2, 2, 2, 2, 0] dynamically	1.5	1.0247	[2, 0, 3, 2, 0, 0, 2, 2, 2, 2] dynamics	1.1	1.13578	[2, 3, 0, 0, 0, 2, 2, 0, 2, 0] dynamism	1.6	1.11355	[0, 2, 0, 2, 0, 2, 3, 3, 2, 2] dynamisms	1.2	0.9798	[2, 0, 2, 0, 0, 2, 2, 2, 0, 2] dynamist	1.4	1.0198	[0, 2, 0, 2, 0, 1, 3, 2, 2, 2] dynamistic	1.5	1.0247	[3, 1, 1, 2, 1, 3, 2, 0, 2, 0] dynamists	0.9	0.83066	[1, 0, 0, 0, 0, 2, 2, 1, 2, 1] dynamite	0.7	2.2383	[-3, 2, 3, 1, 2, 0, 2, 2, 2, -4] dynamited	-0.9	1.04403	[0, 0, 0, -1, -1, 0, -2, 0, -2, -3] dynamiter	-1.2	0.87178	[-1, 0, -1, -1, -2, 0, -1, -1, -2, -3] dynamiters	0.4	1.42829	[0, 0, 0, -3, 1, 0, 2, 2, 2, 0] dynamites	-0.3	1.73494	[0, 0, 4, -1, -1, 0, 0, 0, -2, -3] dynamitic	0.9	1.3	[2, 0, 1, -2, 2, 1, 1, 3, 0, 1] dynamiting	0.2	1.32665	[-2, 0, 0, 2, -1, -1, 0, 2, 2, 0] dynamometer	0.3	0.64031	[0, 0, 0, 0, 1, 0, 0, 2, 0, 0] dynamometers	0.3	0.45826	[0, 0, 0, 0, 0, 1, 0, 1, 1, 0] dynamometric	0.3	0.9	[0, 0, 0, 0, 0, 2, 0, 0, 2, -1] dynamometry	0.6	1.28062	[-2, 0, 0, 0, 0, 2, 2, 2, 0, 2] dynamos	0.3	0.64031	[1, 0, 0, 0, 0, 0, 0, 0, 2, 0] dynamotor	0.6	0.91652	[0, 2, 0, 0, 0, 0, 2, 0, 2, 0] dysfunction	-1.8	0.6	[-2, -3, -2, -1, -2, -1, -2, -1, -2, -2] eager	1.5	0.67082	[1, 3, 1, 2, 2, 2, 1, 1, 1, 1] eagerly	1.6	0.66332	[0, 1, 2, 2, 2, 2, 2, 1, 2, 2] eagerness	1.7	0.45826	[2, 2, 2, 2, 1, 1, 2, 2, 2, 1] eagers	1.6	0.66332	[2, 2, 3, 1, 2, 1, 1, 1, 2, 1] earnest	2.3	0.64031	[3, 2, 3, 1, 2, 2, 2, 3, 3, 2] ease	1.5	0.92195	[1, 1, 1, 0, 2, 1, 2, 3, 3, 1] eased	1.2	0.74833	[2, 0, 1, 0, 2, 2, 1, 1, 1, 2] easeful	1.5	1.0247	[2, 1, 1, 2, 1, 0, 3, 2, 0, 3] easefully	1.4	0.4899	[2, 2, 1, 1, 1, 1, 2, 2, 1, 1] easel	0.3	0.45826	[0, 0, 0, 0, 1, 1, 0, 0, 0, 1] easement	1.6	0.91652	[0, 1, 2, 3, 2, 1, 2, 1, 3, 1] easements	0.4	1.11355	[0, 0, 0, 1, 2, -2, 1, 0, 2, 0] eases	1.3	0.78102	[2, 0, 1, 0, 2, 2, 2, 1, 1, 2] easier	1.8	0.9798	[1, 1, 2, 2, 4, 3, 2, 1, 1, 1] easiest	1.8	1.07703	[2, 4, 1, 3, 2, 0, 2, 2, 1, 1] easily	1.4	0.4899	[2, 1, 1, 2, 1, 2, 1, 2, 1, 1] easiness	1.6	0.66332	[2, 1, 1, 2, 3, 2, 1, 1, 2, 1] easing	1.0	0.63246	[0, 0, 2, 1, 1, 2, 1, 1, 1, 1] easy	1.9	1.04403	[1, 4, 2, 1, 1, 3, 1, 3, 2, 1] easygoing	1.3	0.45826	[1, 1, 1, 1, 1, 1, 2, 2, 2, 1] easygoingness	1.5	0.67082	[1, 2, 1, 2, 1, 3, 1, 2, 1, 1] ecstacy	3.3	1.18743	[4, 4, 3, 4, 4, 0, 3, 3, 4, 4] ecstasies	2.3	1.34536	[3, 3, 2, 4, 3, 1, 3, -1, 2, 3] ecstasy	2.9	1.75784	[4, 3, 3, 4, 4, 2, -2, 3, 4, 4] ecstatic	2.3	1.34536	[3, 4, 3, 4, 1, 1, 1, 4, 1, 1] ecstatically	2.8	1.93907	[3, 4, -1, 4, 4, 4, -1, 3, 4, 4] ecstatics	2.9	0.83066	[1, 3, 4, 4, 3, 3, 3, 2, 3, 3] eerie	-1.5	0.67082	[-1, -1, -2, -2, -1, -1, -2, -1, -3, -1] eery	-0.9	1.04403	[-3, -1, -2, -1, -2, 0, 0, 0, 0, 0] effective	2.1	0.83066	[2, 2, 2, 1, 3, 4, 2, 1, 2, 2] effectively	1.9	0.7	[1, 2, 1, 2, 2, 1, 3, 3, 2, 2] efficiencies	1.6	0.4899	[2, 1, 1, 2, 2, 2, 1, 2, 2, 1] efficiency	1.5	0.5	[2, 1, 2, 2, 1, 2, 1, 1, 2, 1] efficient	1.8	0.9798	[1, 2, 1, 1, 2, 3, 3, 0, 2, 3] efficiently	1.7	0.78102	[1, 3, 2, 1, 3, 1, 1, 2, 2, 1] effin	-2.3	1.18743	[0, -3, -3, -3, -2, -1, -4, -1, -3, -3] egotism	-1.4	0.91652	[-2, -3, -1, -2, -2, 0, 0, -1, -2, -1] egotisms	-1.0	0.7746	[-1, -1, -1, -1, -1, 0, 0, -1, -3, -1] egotist	-2.3	0.9	[-2, -1, -2, -3, -4, -2, -3, -3, -1, -2] egotistic	-1.4	1.0198	[-2, -1, -1, -1, -2, 1, -3, -2, -1, -2] egotistical	-0.9	1.57797	[-1, -2, -2, -1, -2, 1, -3, 2, 1, -2] egotistically	-1.8	0.87178	[-2, -1, -1, -2, -1, -3, -3, -1, -1, -3] egotists	-1.7	0.78102	[-1, -2, 0, -2, -2, -2, -3, -1, -2, -2] elated	3.2	0.74833	[2, 4, 4, 3, 4, 3, 3, 2, 3, 4] elation	1.5	1.43178	[1, 2, -2, 2, 2, 3, 0, 3, 2, 2] elegance	2.1	0.53852	[3, 2, 2, 1, 2, 2, 3, 2, 2, 2] elegances	1.8	0.6	[2, 2, 1, 1, 2, 2, 2, 3, 2, 1] elegancies	1.6	1.0198	[2, 1, 2, 1, 1, 0, 4, 1, 2, 2] elegancy	2.1	0.53852	[3, 2, 2, 1, 2, 2, 3, 2, 2, 2] elegant	2.1	0.83066	[2, 2, 2, 1, 4, 1, 2, 3, 2, 2] elegantly	1.9	0.83066	[2, 1, 1, 3, 2, 2, 1, 3, 3, 1] embarrass	-1.2	1.66132	[-2, -2, -3, -1, -2, -2, 2, 2, -2, -2] embarrassable	-1.6	0.8	[-3, -2, -1, -3, -1, -1, -1, -2, -1, -1] embarrassed	-1.5	0.67082	[-2, -2, -1, -2, -1, -3, -1, -1, -1, -1] embarrassedly	-1.1	1.44568	[-2, -1, -2, -3, 1, -1, -1, -2, -2, 2] embarrasses	-1.7	0.78102	[-2, -3, -1, -2, -1, -3, -2, -1, -1, -1] embarrassing	-1.6	0.8	[-3, -1, -1, -1, -1, -2, -1, -2, -3, -1] embarrassingly	-1.7	0.64031	[-2, -1, -1, -2, -1, -2, -1, -3, -2, -2] embarrassment	-1.9	0.53852	[-2, -2, -1, -2, -2, -2, -2, -1, -3, -2] embarrassments	-1.7	0.64031	[-2, -1, -2, -1, -1, -2, -2, -1, -2, -3] embittered	-0.4	1.35647	[1, -2, -1, 1, -2, 2, 0, -1, 0, -2] embrace	1.3	1.34536	[3, 2, 1, 3, 2, -1, 2, 1, -1, 1] emergency	-1.6	2.05913	[-3, -3, -3, -3, -4, 2, 1, -1, 1, -3] emotional	0.6	1.0198	[1, -1, 0, 0, 0, 2, 0, 2, 2, 0] empathetic	1.7	1.1	[-1, 3, 2, 2, 2, 1, 3, 1, 2, 2] emptied	-0.7	0.64031	[-1, 0, 0, 0, -1, -1, -1, -2, 0, -1] emptier	-0.7	0.64031	[-1, 0, 0, 0, -1, -1, -1, -2, 0, -1] emptiers	-0.7	0.78102	[0, 0, -1, 0, -1, -1, -2, 0, -2, 0] empties	-0.7	0.64031	[-1, 0, 0, 0, -1, -1, -1, -2, 0, -1] emptiest	-1.8	1.07703	[-1, -2, -2, -1, -1, -2, -3, 0, -4, -2] emptily	-1.0	1.41421	[-2, 2, -1, -1, -1, 0, -4, -1, -1, -1] emptiness	-1.9	0.7	[-2, -2, -3, -2, -2, -1, -1, -3, -1, -2] emptinesses	-1.5	1.11803	[-1, -1, -3, -1, -1, -1, -2, 0, -4, -1] emptins	-0.3	0.45826	[0, 0, 0, -1, 0, 0, 0, -1, -1, 0] empty	-0.8	0.74833	[-1, -1, -1, -1, -1, -1, -2, 0, -1, 1] emptying	-0.6	1.0198	[2, -1, -1, 0, -1, 0, -1, -1, -2, -1] enchanted	1.6	0.8	[1, 3, 1, 2, 1, 3, 1, 2, 1, 1] encourage	2.3	0.78102	[2, 1, 3, 2, 3, 4, 2, 2, 2, 2] encouraged	1.5	0.5	[1, 2, 2, 2, 2, 2, 1, 1, 1, 1] encouragement	1.8	0.9798	[2, 1, 2, 1, 1, 3, 1, 2, 4, 1] encouragements	2.1	0.7	[3, 2, 3, 2, 1, 2, 3, 2, 2, 1] encourager	1.5	0.5	[2, 1, 2, 1, 1, 2, 1, 1, 2, 2] encouragers	1.5	0.5	[2, 2, 1, 1, 2, 2, 1, 1, 2, 1] encourages	1.9	0.53852	[2, 2, 1, 2, 2, 1, 2, 2, 2, 3] encouraging	2.4	0.66332	[2, 3, 2, 3, 3, 2, 3, 2, 1, 3] encouragingly	2.0	0.7746	[1, 1, 1, 3, 2, 2, 2, 3, 2, 3] endorse	1.3	0.9	[0, 1, 0, 1, 3, 2, 2, 2, 1, 1] endorsed	1.0	0.89443	[1, 2, 0, 1, 1, 0, 1, 0, 3, 1] endorsement	1.3	0.9	[0, 1, 2, 2, 1, 2, 0, 1, 3, 1] endorses	1.4	0.4899	[1, 2, 1, 2, 1, 1, 1, 2, 2, 1] enemies	-2.2	0.6	[-2, -3, -1, -2, -2, -3, -2, -3, -2, -2] enemy	-2.5	0.92195	[-3, -2, -3, -3, -3, -4, -1, -3, -1, -2] energetic	1.9	0.53852	[2, 1, 3, 2, 2, 2, 1, 2, 2, 2] energetically	1.8	0.6	[2, 2, 1, 1, 2, 2, 3, 1, 2, 2] energetics	0.3	0.64031	[1, 0, 0, 0, 0, 0, 2, 0, 0, 0] energies	0.9	1.04403	[1, 0, 0, 2, 0, 1, 3, 2, 0, 0] energise	2.2	0.4	[2, 2, 2, 2, 2, 2, 3, 2, 3, 2] energised	2.1	0.53852	[2, 3, 1, 2, 2, 2, 3, 2, 2, 2] energises	2.2	0.6	[3, 3, 2, 2, 1, 3, 2, 2, 2, 2] energising	1.9	0.7	[2, 3, 1, 2, 2, 3, 2, 1, 1, 2] energization	1.6	0.66332	[1, 2, 1, 3, 1, 1, 2, 2, 2, 1] energizations	1.5	1.11803	[1, 0, 3, 1, 3, 0, 1, 1, 2, 3] energize	2.1	0.7	[2, 2, 2, 1, 3, 2, 3, 2, 3, 1] energized	2.3	0.64031	[3, 2, 3, 3, 3, 2, 2, 2, 1, 2] energizer	2.1	0.53852	[3, 2, 2, 2, 2, 2, 2, 3, 1, 2] energizers	1.7	0.9	[2, 0, 2, 3, 3, 1, 1, 2, 2, 1] energizes	2.1	0.53852	[3, 2, 3, 2, 2, 2, 2, 2, 1, 2] energizing	2.0	0.63246	[3, 3, 2, 1, 2, 2, 1, 2, 2, 2] energy	1.1	0.83066	[0, 2, 0, 2, 1, 1, 2, 1, 2, 0] engage	1.4	0.8	[1, 2, 3, 2, 1, 1, 0, 1, 2, 1] engaged	1.7	1.1	[1, 1, 2, 2, 1, 0, 2, 3, 4, 1] engagement	2.0	1.34164	[0, 0, 3, 4, 4, 2, 1, 2, 2, 2] engagements	0.6	0.8	[1, 0, 0, 2, 0, 2, 0, 0, 1, 0] engager	1.1	0.7	[1, 1, 0, 2, 1, 0, 2, 1, 2, 1] engagers	1.0	0.7746	[1, 1, 1, 0, 2, 1, 0, 2, 2, 0] engages	1.0	0.7746	[1, 1, 0, 2, 1, 0, 1, 2, 2, 0] engaging	1.4	0.4899	[2, 2, 1, 1, 2, 1, 1, 1, 1, 2] engagingly	1.5	0.67082	[1, 2, 3, 1, 1, 1, 1, 1, 2, 2] engrossed	0.6	1.49666	[0, 2, 0, 2, -2, 2, 3, -1, 0, 0] enjoy	2.2	0.6	[3, 2, 2, 2, 3, 2, 2, 3, 2, 1] enjoyable	1.9	0.53852	[3, 2, 2, 1, 2, 1, 2, 2, 2, 2] enjoyableness	1.9	1.13578	[2, 2, 2, 2, 1, 3, 3, 3, -1, 2] enjoyably	1.8	0.4	[2, 2, 2, 1, 2, 1, 2, 2, 2, 2] enjoyed	2.3	0.64031	[2, 2, 1, 3, 3, 3, 2, 2, 2, 3] enjoyer	2.2	0.6	[2, 2, 1, 3, 3, 2, 2, 2, 2, 3] enjoyers	2.2	0.74833	[2, 4, 2, 2, 2, 2, 2, 3, 2, 1] enjoying	2.4	0.66332	[2, 2, 2, 3, 3, 3, 1, 3, 2, 3] enjoyment	2.6	0.4899	[2, 3, 2, 3, 2, 3, 2, 3, 3, 3] enjoyments	2.0	0.7746	[3, 1, 1, 3, 2, 1, 2, 2, 2, 3] enjoys	2.3	0.45826	[2, 3, 2, 2, 2, 3, 2, 3, 2, 2] enlighten	2.3	1.1	[2, 2, 1, 3, 2, 1, 1, 4, 3, 4] enlightened	2.2	0.87178	[4, 2, 3, 1, 2, 2, 1, 3, 2, 2] enlightening	2.3	0.64031	[3, 2, 2, 2, 2, 2, 2, 4, 2, 2] enlightens	1.7	1.00499	[2, 1, 1, 1, 1, 2, 4, 1, 3, 1] ennui	-1.2	0.6	[-1, -1, -1, -2, -1, -1, -2, -1, 0, -2] enrage	-2.6	0.91652	[-3, -3, -3, -4, -1, -1, -3, -2, -3, -3] enraged	-1.7	1.79165	[-3, -3, -3, -3, 2, -1, -3, -1, 1, -3] enrages	-1.8	1.6	[-3, -3, -3, -3, 1, -1, -3, -1, 1, -3] enraging	-2.8	0.74833	[-4, -2, -3, -2, -2, -3, -3, -2, -4, -3] enrapture	3.0	0.63246	[2, 4, 3, 3, 4, 3, 3, 2, 3, 3] enslave	-3.1	0.9434	[-3, -4, -2, -4, -4, -2, -4, -2, -4, -2] enslaved	-1.7	2.41039	[3, -3, -3, -3, -4, -4, -4, 1, -1, 1] enslaves	-1.6	2.15407	[2, -2, -3, -2, -4, -4, -4, 1, -1, 1] ensure	1.6	0.91652	[2, 1, 3, 1, 1, 2, 3, 2, 0, 1] ensuring	1.1	0.9434	[0, 1, 3, 1, 1, 2, 1, 0, 2, 0] enterprising	2.3	0.78102	[3, 2, 1, 3, 3, 2, 1, 2, 3, 3] entertain	1.3	0.64031	[1, 2, 1, 1, 2, 1, 2, 0, 1, 2] entertained	1.7	0.64031	[1, 2, 2, 1, 2, 1, 1, 3, 2, 2] entertainer	1.6	1.2	[1, 4, 2, 2, 0, 0, 1, 3, 1, 2] entertainers	1.0	0.7746	[0, 1, 2, 2, 0, 0, 1, 1, 2, 1] entertaining	1.9	0.83066	[1, 2, 1, 1, 3, 2, 3, 2, 3, 1] entertainingly	1.9	0.53852	[2, 1, 2, 3, 2, 2, 1, 2, 2, 2] entertainment	1.8	0.9798	[2, 0, 4, 2, 2, 1, 2, 2, 1, 2] entertainments	2.3	1.18743	[3, 3, 3, 2, 1, 0, 3, 4, 1, 3] entertains	2.4	0.66332	[2, 2, 2, 2, 2, 3, 4, 3, 2, 2] enthral	0.4	1.42829	[2, 2, 0, 2, 0, -1, -2, 2, 0, -1] enthuse	1.6	0.66332	[1, 2, 1, 1, 3, 1, 2, 2, 2, 1] enthused	2.0	0.63246	[3, 3, 1, 2, 2, 2, 2, 1, 2, 2] enthuses	1.7	0.78102	[2, 3, 1, 2, 1, 3, 1, 1, 1, 2] enthusiasm	1.9	0.9434	[3, 3, 3, 2, 1, 0, 2, 1, 2, 2] enthusiasms	2.0	0.89443	[1, 3, 2, 2, 3, 2, 0, 2, 3, 2] enthusiast	1.5	0.67082	[1, 2, 2, 2, 0, 1, 1, 2, 2, 2] enthusiastic	2.2	0.9798	[1, 2, 3, 4, 2, 3, 2, 1, 1, 3] enthusiastically	2.6	0.66332	[3, 3, 3, 2, 3, 3, 3, 3, 2, 1] enthusiasts	1.4	0.91652	[1, 1, 0, 3, 3, 2, 1, 1, 1, 1] enthusing	1.9	0.7	[2, 1, 2, 1, 2, 3, 2, 1, 2, 3] entitled	1.1	0.83066	[2, 2, 1, 1, 2, 1, 1, -1, 1, 1] entrusted	0.8	1.46969	[3, 0, 2, 2, 1, 1, -1, 0, -2, 2] envied	-1.1	0.83066	[-1, -2, -2, 1, -2, -1, -1, -1, -1, -1] envier	-1.0	0.7746	[-1, -2, -2, -1, -1, 1, -1, -1, -1, -1] enviers	-1.1	1.13578	[-3, -1, 0, -3, -1, -1, -1, -1, 1, -1] envies	-0.8	0.9798	[-1, -2, -2, 1, -1, 1, -1, -1, -1, -1] envious	-1.1	0.83066	[-2, -1, -1, -1, -2, -1, -1, 1, -2, -1] envy	-1.1	0.83066	[-2, -1, -1, -2, -1, -1, -1, 1, -1, -2] envying	-0.8	1.32665	[-1, -1, -1, -1, -3, 2, -2, -1, 1, -1] envyingly	-1.3	1.55242	[-2, 3, -2, -2, -1, -3, -1, -1, -2, -2] erroneous	-1.8	0.6	[-2, -3, -2, -2, -2, -2, -1, -1, -1, -2] error	-1.7	0.64031	[-2, -1, -2, -1, -2, -1, -1, -2, -3, -2] errors	-1.4	0.66332	[-2, -1, -2, 0, -2, -2, -1, -1, -1, -2] escape	0.7	1.00499	[2, 0, 0, 1, 0, 1, 0, 3, 0, 0] escapes	0.5	1.36015	[4, 1, 1, 0, -1, 0, -1, 0, 1, 0] escaping	0.2	1.46969	[-2, 2, -1, 0, 1, 0, 2, 2, -2, 0] esteemed	1.9	0.83066	[3, 2, 1, 2, 3, 1, 1, 2, 3, 1] ethical	2.3	0.78102	[3, 3, 3, 3, 2, 2, 1, 3, 2, 1] euphoria	3.3	0.9	[4, 4, 3, 3, 3, 4, 4, 4, 1, 3] euphoric	3.2	0.87178	[3, 4, 3, 3, 3, 4, 4, 4, 1, 3] eviction	-2.0	0.63246	[-2, -2, -3, -2, -3, -2, -1, -2, -1, -2] evil	-3.4	0.91652	[-4, -4, -4, -3, -3, -4, -1, -4, -3, -4] evildoer	-3.1	0.7	[-2, -3, -3, -3, -4, -4, -3, -2, -3, -4] evildoers	-2.4	0.4899	[-3, -3, -2, -2, -2, -2, -2, -2, -3, -3] evildoing	-3.1	0.7	[-4, -4, -3, -3, -3, -4, -2, -3, -2, -3] evildoings	-2.5	1.0247	[-3, -1, -1, -3, -4, -2, -4, -2, -2, -3] eviler	-2.1	1.13578	[-2, -1, -3, -2, -4, -3, -1, -2, 0, -3] evilest	-2.5	1.0247	[-3, -4, -1, -3, -2, -3, -1, -4, -2, -2] eviller	-2.9	0.83066	[-3, -3, -4, -2, -2, -3, -2, -4, -2, -4] evillest	-3.3	0.78102	[-3, -4, -2, -3, -4, -2, -4, -4, -3, -4] evilly	-3.4	0.8	[-2, -4, -4, -4, -3, -4, -4, -4, -3, -2] evilness	-3.1	1.04403	[-3, -4, -4, -4, -4, -2, -3, -2, -1, -4] evils	-2.7	0.78102	[-3, -2, -2, -4, -4, -2, -3, -2, -3, -2] exaggerate	-0.6	0.66332	[-1, -1, -1, 0, -1, 0, 1, -1, -1, -1] exaggerated	-0.4	1.2	[-1, -1, -1, -1, -1, 2, 1, 1, -2, -1] exaggerates	-0.6	1.28062	[-1, -1, -1, -1, -1, 1, 0, 2, -3, -1] exaggerating	-0.7	0.9	[-1, -2, 0, -1, 0, 0, -2, -1, 1, -1] exasperated	-1.8	1.53623	[-4, -3, -3, -1, -1, -1, 1, -1, -4, -1] excel	2.0	1.0	[3, 0, 2, 3, 1, 1, 3, 3, 2, 2] excelled	2.2	0.87178	[1, 2, 2, 2, 3, 2, 4, 3, 2, 1] excellence	3.1	0.9434	[4, 3, 4, 3, 2, 3, 1, 4, 3, 4] excellences	2.5	0.92195	[4, 2, 2, 2, 4, 3, 2, 2, 3, 1] excellencies	2.4	0.4899	[3, 2, 3, 3, 2, 2, 2, 2, 3, 2] excellency	2.5	0.80623	[4, 2, 3, 3, 2, 3, 1, 3, 2, 2] excellent	2.7	0.64031	[2, 3, 3, 3, 3, 2, 3, 2, 2, 4] excellently	3.1	0.7	[4, 3, 3, 3, 2, 3, 3, 4, 4, 2] excelling	2.5	0.67082	[2, 2, 3, 3, 3, 2, 2, 4, 2, 2] excels	2.5	0.92195	[4, 2, 4, 2, 2, 1, 2, 3, 3, 2] excelsior	0.7	0.64031	[1, 0, 0, 2, 0, 1, 1, 1, 1, 0] excitabilities	1.5	1.0247	[2, 0, 1, 1, 3, 1, 2, 3, 2, 0] excitability	1.2	0.87178	[0, 1, 1, 0, 1, 2, 3, 1, 2, 1] excitable	1.5	0.92195	[2, 3, 1, 0, 1, 2, 2, 0, 2, 2] excitableness	1.0	1.09545	[0, 0, 2, 0, 2, 0, 2, 0, 1, 3] excitant	1.8	1.16619	[1, 0, 1, 3, 2, 0, 3, 3, 2, 3] excitants	1.2	0.9798	[1, 0, 1, 2, 2, 2, 1, -1, 2, 2] excitation	1.8	0.87178	[2, 0, 3, 1, 3, 2, 2, 2, 1, 2] excitations	1.8	1.16619	[3, 3, -1, 2, 2, 2, 1, 1, 3, 2] excitative	0.3	0.78102	[0, 1, 1, 0, 0, 0, 2, 0, -1, 0] excitatory	1.1	1.7	[-1, 2, 2, 1, 2, 2, 2, 3, -3, 1] excite	2.1	1.22066	[1, 2, 2, 1, 2, 0, 4, 4, 3, 2] excited	1.4	0.4899	[1, 1, 2, 1, 2, 1, 2, 1, 1, 2] excitedly	2.3	0.9	[3, 3, 2, 3, 1, 3, 1, 3, 1, 3] excitement	2.2	0.4	[2, 2, 2, 3, 3, 2, 2, 2, 2, 2] excitements	1.9	0.53852	[2, 1, 2, 3, 2, 2, 2, 2, 2, 1] exciter	1.9	0.9434	[3, 2, 3, 1, 0, 1, 2, 3, 2, 2] exciters	1.4	1.42829	[1, 2, 0, 1, 2, 4, 0, -1, 3, 2] excites	2.1	0.83066	[2, 3, 3, 2, 0, 2, 2, 3, 2, 2] exciting	2.2	0.87178	[3, 2, 1, 1, 1, 3, 3, 3, 2, 3] excitingly	1.9	0.9434	[3, 2, 3, 0, 1, 2, 1, 2, 2, 3] exciton	0.3	0.64031	[2, 0, 0, 0, 0, 0, 1, 0, 0, 0] excitonic	0.2	0.6	[0, 0, 0, 0, 2, 0, 0, 0, 0, 0] excitons	0.8	0.6	[1, 2, 0, 1, 1, 0, 0, 1, 1, 1] excitor	0.5	0.67082	[2, 0, 0, 0, 1, 1, 1, 0, 0, 0] exclude	-0.9	1.13578	[-1, -2, -1, -3, -1, 1, -1, -1, 1, -1] excluded	-1.4	1.62481	[-2, -1, -3, -3, -2, -3, -2, 1, -1, 2] exclusion	-1.2	1.249	[-2, -2, -3, -1, -2, -1, -1, -1, 2, -1] exclusive	0.5	0.92195	[0, 0, 0, -1, 2, 0, 1, 2, 1, 0] excruciate	-2.7	0.64031	[-2, -3, -2, -3, -3, -2, -4, -3, -2, -3] excruciated	-1.3	1.9	[-4, -1, -4, 0, 2, -2, -1, -1, -3, 1] excruciates	-1.0	2.19089	[-4, 1, -4, 0, 1, -3, -1, 1, -3, 2] excruciating	-3.3	0.9	[-3, -4, -4, -4, -4, -4, -4, -2, -2, -2] excruciatingly	-2.9	1.04403	[-2, -4, -3, -2, -4, -1, -2, -3, -4, -4] excruciation	-3.4	0.66332	[-4, -3, -2, -4, -4, -3, -4, -3, -3, -4] excruciations	-1.9	1.51327	[-3, -3, -2, -4, -1, -1, 1, -4, -1, -1] excuse	0.3	1.73494	[0, 0, 3, -1, 0, -1, -2, 0, 4, 0] exempt	0.4	0.91652	[1, 0, 0, 0, 2, -1, 0, 0, 2, 0] exhaust	-1.2	0.87178	[0, -1, 0, -1, -1, -3, -2, -2, -1, -1] exhausted	-1.5	1.28452	[-2, -1, 2, -2, -3, -2, -2, -1, -2, -2] exhauster	-1.3	0.64031	[-1, -1, 0, -1, -2, -1, -1, -2, -2, -2] exhausters	-1.3	0.45826	[-2, -1, -2, -1, -1, -2, -1, -1, -1, -1] exhaustibility	-0.8	1.07703	[0, -2, -3, 0, 1, -1, -1, -1, 0, -1] exhaustible	-1.0	0.63246	[-1, -1, 0, -1, -2, -2, -1, 0, -1, -1] exhausting	-1.5	0.5	[-1, -2, -1, -1, -2, -1, -2, -2, -1, -2] exhaustion	-1.5	0.92195	[-2, -1, 1, -2, -2, -2, -2, -1, -2, -2] exhaustions	-1.1	0.9434	[-1, -3, -2, -1, -1, -1, -1, 1, -1, -1] exhaustive	-0.5	0.67082	[-1, -1, 0, -1, -2, 0, 0, 0, 0, 0] exhaustively	-0.7	0.78102	[-2, 0, -1, -1, -1, -2, 0, 0, 0, 0] exhaustiveness	-1.1	1.3	[-2, -2, 0, -1, -1, 1, -4, -1, 0, -1] exhaustless	0.2	1.8868	[1, 1, 0, 2, 3, 0, -2, 2, -2, -3] exhaustlessness	0.9	1.75784	[2, 2, 1, 1, -4, 2, 1, 2, 0, 2] exhausts	-1.1	0.53852	[-2, -1, 0, -1, -1, -2, -1, -1, -1, -1] exhilarated	3.0	0.63246	[3, 3, 3, 3, 2, 2, 4, 4, 3, 3] exhilarates	2.8	1.07703	[4, 3, 3, 3, 0, 2, 3, 4, 3, 3] exhilarating	1.7	1.61555	[3, 4, 3, 2, -1, 1, 1, 3, -1, 2] exonerate	1.8	0.74833	[2, 2, 2, 2, 3, 2, 1, 0, 2, 2] exonerated	1.8	1.83303	[3, -2, 2, 3, 2, 4, 3, 1, -1, 3] exonerates	1.6	1.90788	[3, -2, 1, 2, 3, 4, 0, 3, -1, 3] exonerating	1.0	1.41421	[2, -2, 3, 0, 0, 2, 0, 2, 2, 1] expand	1.3	0.64031	[0, 2, 2, 1, 1, 1, 2, 1, 2, 1] expands	0.4	0.66332	[0, 1, 0, 0, 0, 0, 0, 0, 2, 1] expel	-1.9	1.44568	[0, -4, -3, -1, -3, -1, 0, -2, -4, -1] expelled	-1.0	1.94936	[-1, -2, 2, -2, -4, -3, -2, 1, 2, -1] expelling	-1.6	1.49666	[-2, -2, -2, -2, -2, -3, -4, -1, 1, 1] expels	-1.6	1.11355	[-4, -2, 0, -3, -1, -1, -1, -2, -1, -1] exploit	-0.4	1.62481	[-2, -1, -1, 2, -2, -2, 2, -1, 2, -1] exploited	-2.0	1.0	[-3, -3, -1, -1, -1, -4, -2, -2, -1, -2] exploiting	-1.9	1.22066	[0, -3, -3, 0, -2, -3, -1, -1, -3, -3] exploits	-1.4	0.8	[-2, -2, -2, -1, -1, 0, -2, 0, -2, -2] exploration	0.9	0.7	[2, 2, 0, 1, 1, 0, 1, 0, 1, 1] explorations	0.3	1.1	[1, 1, 0, 0, 1, 2, 1, -2, -1, 0] expose	-0.6	0.8	[-1, -1, 0, 0, -2, 1, -1, 0, -1, -1] exposed	-0.3	1.18743	[-2, -1, 0, 2, 0, 0, -1, 1, -2, 0] exposes	-0.5	0.92195	[-1, -1, 0, 2, -1, 0, -1, -1, -1, -1] exposing	-1.1	0.7	[-2, -2, -1, -1, 0, -2, -1, -1, 0, -1] extend	0.7	0.78102	[2, 0, 0, 0, 1, 2, 1, 1, 0, 0] extends	0.5	0.80623	[2, 0, 2, 0, 0, 0, 1, 0, 0, 0] exuberant	2.8	0.6	[2, 3, 2, 3, 2, 4, 3, 3, 3, 3] exultant	3.0	1.18322	[4, 4, 3, 0, 3, 4, 3, 3, 2, 4] exultantly	1.4	1.49666	[3, 2, 4, 1, 1, 2, -2, 1, 1, 1] fab	2.0	1.0	[2, 1, 1, 3, 1, 2, 2, 4, 3, 1] fabulous	2.4	0.8	[2, 2, 3, 4, 3, 3, 1, 2, 2, 2] fabulousness	2.8	1.07703	[4, 1, 4, 3, 1, 3, 3, 2, 4, 3] fad	0.9	0.83066	[2, 0, 1, 1, 1, 0, 0, 2, 2, 0] fag	-2.1	0.83066	[-3, -1, -2, -4, -2, -2, -2, -1, -2, -2] faggot	-3.4	0.8	[-2, -4, -4, -3, -2, -4, -4, -4, -3, -4] faggots	-3.2	0.9798	[-2, -4, -4, -4, -3, -4, -4, -3, -1, -3] fail	-2.5	0.67082	[-2, -3, -3, -3, -4, -2, -2, -2, -2, -2] failed	-2.3	0.9	[-2, -3, -1, -2, -2, -1, -3, -3, -4, -2] failing	-2.3	1.1	[-2, -3, -3, -3, -4, -1, -2, -2, 0, -3] failingly	-1.4	0.8	[-1, -3, -2, -1, 0, -1, -2, -1, -2, -1] failings	-2.2	1.07703	[-2, -2, -3, -4, -1, -2, -1, -1, -4, -2] faille	0.1	0.3	[0, 0, 0, 0, 0, 0, 1, 0, 0, 0] fails	-1.8	0.74833	[-2, -3, -2, -3, -2, -2, -1, -1, -1, -1] failure	-2.3	1.00499	[-3, -1, -3, -2, -1, -2, -3, -1, -4, -3] failures	-2.0	0.63246	[-1, -2, -1, -2, -3, -2, -2, -3, -2, -2] fainthearted	-0.3	1.34536	[3, -1, -1, -1, -2, -1, 0, 1, -1, 0] fair	1.3	1.00499	[0, 1, 1, 2, 4, 1, 1, 1, 1, 1] faith	1.8	0.6	[1, 3, 2, 2, 1, 2, 2, 2, 1, 2] faithed	1.3	1.00499	[3, 2, 1, 2, 1, 2, -1, 1, 1, 1] faithful	1.9	0.83066	[1, 3, 2, 2, 1, 1, 3, 3, 2, 1] faithfully	1.8	1.07703	[3, 1, 2, 2, 4, 1, 0, 1, 2, 2] faithfulness	1.9	0.53852	[1, 2, 2, 3, 2, 2, 2, 1, 2, 2] faithless	-1.0	0.89443	[-1, -1, -1, -2, -2, -1, -1, 0, 1, -2] faithlessly	-0.9	1.51327	[-1, -2, -1, -3, -2, -1, 3, 0, -1, -1] faithlessness	-1.8	1.249	[-3, -2, 1, -2, -2, -1, -2, -1, -4, -2] faiths	1.8	0.9798	[2, 3, 1, 1, 3, 3, 0, 2, 2, 1] fake	-2.1	0.9434	[-2, -2, -1, -1, -1, -3, -3, -4, -2, -2] fakes	-1.8	1.07703	[-2, -3, -2, -2, -3, 1, -2, -2, -1, -2] faking	-1.8	0.87178	[-3, -1, -2, -1, -2, -2, -3, -2, 0, -2] fallen	-1.5	0.80623	[-1, -1, -2, -2, -1, -3, 0, -1, -2, -2] falling	-0.6	1.8	[-2, -2, -1, 0, -1, 3, -3, 2, 0, -2] falsified	-1.6	0.91652	[-4, -1, -1, -2, -1, -1, -2, -2, -1, -1] falsify	-2.0	0.7746	[-2, -1, -3, -3, -1, -2, -2, -2, -1, -3] fame	1.9	1.13578	[0, 2, 1, 2, 2, 4, 1, 3, 3, 1] fan	1.3	0.78102	[2, 0, 1, 1, 2, 1, 1, 3, 1, 1] fantastic	2.6	0.91652	[1, 3, 3, 3, 2, 4, 4, 2, 2, 2] fantastical	2.0	1.18322	[-1, 3, 2, 2, 2, 2, 3, 1, 3, 3] fantasticalities	2.1	1.04403	[2, 4, 2, 2, 1, 1, 2, 4, 1, 2] fantasticality	1.7	1.26886	[4, 1, 0, 2, 2, 1, 4, 1, 1, 1] fantasticalness	1.3	1.9	[2, 3, -3, 0, 3, 2, 2, 3, -1, 2] fantasticate	1.5	1.96214	[1, 2, -3, 1, 4, 1, 3, 4, 0, 2] fantastico	0.4	1.49666	[0, 0, 2, 0, 2, -2, 1, -1, -1, 3] farce	-1.7	0.45826	[-2, -2, -1, -2, -2, -1, -1, -2, -2, -2] fascinate	2.4	1.0198	[4, 2, 2, 3, 1, 2, 3, 4, 1, 2] fascinated	2.1	0.83066	[2, 2, 2, 3, 1, 2, 4, 2, 1, 2] fascinates	2.0	0.44721	[2, 3, 1, 2, 2, 2, 2, 2, 2, 2] fascination	2.2	0.74833	[2, 1, 3, 3, 2, 3, 2, 2, 1, 3] fascinating	2.5	0.92195	[3, 3, 3, 4, 2, 3, 2, 3, 1, 1] fascist	-2.6	0.8	[-3, -3, -2, -2, -2, -3, -1, -3, -4, -3] fascists	-0.8	1.6	[-2, -3, -1, 1, -1, 2, -3, 1, -1, -1] fatal	-2.5	1.62788	[-2, -3, -3, -4, -3, -3, 2, -4, -2, -3] fatalism	-0.6	1.8	[0, 0, -3, -4, -1, 1, 0, 2, -2, 1] fatalisms	-1.7	0.9	[-2, -4, -2, -2, -2, -1, -1, -1, -1, -1] fatalist	-0.5	1.56525	[0, 0, -1, -4, -1, 2, 0, 1, -2, 0] fatalistic	-1.0	1.34164	[-3, -1, -3, -1, 1, 0, 1, -2, -1, -1] fatalists	-1.2	0.87178	[0, -2, -1, -2, -1, 0, -1, -1, -3, -1] fatalities	-2.9	0.7	[-2, -3, -3, -4, -2, -2, -3, -4, -3, -3] fatality	-3.5	0.67082	[-2, -4, -4, -4, -3, -4, -4, -4, -3, -3] fatally	-3.2	0.74833	[-3, -2, -4, -2, -3, -4, -4, -3, -3, -4] fatigue	-1.0	0.7746	[-2, -1, -1, -1, 1, -1, -2, -1, -1, -1] fatigued	-1.4	0.4899	[-2, -1, -1, -2, -1, -1, -2, -2, -1, -1] fatigues	-1.3	1.00499	[-2, -1, -1, -2, -1, 1, -3, -2, -1, -1] fatiguing	-1.2	0.6	[-1, -2, -2, -1, 0, -2, -1, -1, -1, -1] fatiguingly	-1.5	0.80623	[-1, 0, -3, -2, -1, -1, -2, -1, -2, -2] fault	-1.7	0.64031	[-1, -2, -2, -2, -1, -1, -2, -2, -1, -3] faulted	-1.4	0.4899	[-2, -2, -1, -2, -1, -1, -1, -1, -2, -1] faultfinder	-0.8	1.32665	[-3, -2, -2, -1, 1, 1, 1, -1, -1, -1] faultfinders	-1.5	0.80623	[-2, -2, -1, -3, -2, -1, 0, -1, -1, -2] faultfinding	-2.1	0.83066	[-3, -2, -1, -2, -1, -3, -1, -3, -2, -3] faultier	-2.1	0.7	[-3, -3, -3, -1, -2, -2, -2, -1, -2, -2] faultiest	-2.1	0.53852	[-3, -1, -2, -2, -2, -2, -2, -2, -3, -2] faultily	-2.0	0.89443	[-2, -2, -2, -3, -2, -1, 0, -3, -2, -3] faultiness	-1.5	0.92195	[-1, -1, -3, -1, 0, -2, -3, -1, -2, -1] faulting	-1.4	0.4899	[-1, -2, -1, -1, -2, -1, -1, -2, -1, -2] faultless	2.0	1.41421	[3, 2, 0, 1, 3, 1, 4, 0, 2, 4] faultlessly	2.0	1.09545	[3, 3, 2, 2, 0, 3, 2, 3, 2, 0] faultlessness	1.1	2.02237	[3, 2, 4, 2, 1, -1, -2, 1, -2, 3] faults	-2.1	0.3	[-2, -2, -2, -2, -2, -2, -3, -2, -2, -2] faulty	-1.3	0.45826	[-1, -1, -1, -1, -2, -2, -2, -1, -1, -1] fav	2.0	0.63246	[2, 1, 2, 2, 2, 1, 3, 2, 3, 2] fave	1.9	1.51327	[1, 3, -2, 3, 2, 3, 1, 3, 2, 3] favor	1.7	0.64031	[2, 2, 2, 2, 2, 2, 0, 1, 2, 2] favorable	2.1	0.7	[2, 1, 2, 3, 1, 2, 2, 3, 3, 2] favorableness	2.2	0.87178	[1, 2, 1, 3, 2, 2, 2, 4, 2, 3] favorably	1.6	0.66332	[2, 1, 1, 1, 1, 2, 2, 2, 3, 1] favored	1.8	0.6	[2, 2, 1, 1, 3, 1, 2, 2, 2, 2] favorer	1.3	1.18743	[2, 2, 1, 1, -2, 1, 2, 2, 2, 2] favorers	1.4	0.4899	[2, 2, 1, 2, 1, 2, 1, 1, 1, 1] favoring	1.8	0.6	[2, 1, 1, 3, 2, 2, 1, 2, 2, 2] favorite	2.0	0.63246	[2, 1, 3, 1, 2, 2, 2, 3, 2, 2] favorited	1.7	0.45826	[1, 2, 2, 1, 2, 2, 2, 1, 2, 2] favorites	1.8	0.6	[1, 2, 1, 3, 2, 2, 1, 2, 2, 2] favoritism	0.7	1.79165	[-1, 3, -1, -1, 2, -2, 2, 2, 3, 0] favoritisms	0.7	0.9	[0, 2, -1, 1, 0, 0, 1, 1, 2, 1] favors	1.0	0.7746	[2, 1, 1, 1, 2, 1, -1, 1, 1, 1] favour	1.9	0.53852	[2, 1, 2, 3, 2, 2, 2, 1, 2, 2] favoured	1.8	0.4	[1, 2, 2, 2, 1, 2, 2, 2, 2, 2] favourer	1.6	0.4899	[1, 2, 2, 1, 1, 2, 2, 2, 1, 2] favourers	1.6	0.66332	[2, 2, 1, 0, 2, 2, 1, 2, 2, 2] favouring	1.3	0.45826	[1, 2, 1, 1, 2, 1, 1, 1, 1, 2] favours	1.8	0.6	[3, 2, 1, 2, 1, 2, 2, 1, 2, 2] fear	-2.2	0.6	[-2, -3, -2, -3, -2, -1, -2, -3, -2, -2] feared	-2.2	0.6	[-2, -3, -2, -1, -3, -2, -3, -2, -2, -2] fearful	-2.2	0.87178	[-2, -2, -3, -1, -2, -3, -2, -2, -4, -1] fearfuller	-2.2	0.87178	[-1, -4, -2, -2, -1, -2, -3, -2, -3, -2] fearfullest	-2.5	1.0247	[-3, -3, -4, -4, -3, -2, -1, -2, -2, -1] fearfully	-2.2	0.87178	[-2, -2, -2, -1, -1, -3, -4, -2, -3, -2] fearfulness	-1.8	0.87178	[-1, -1, -1, -2, -2, -1, -4, -2, -2, -2] fearing	-2.7	0.9	[-3, -3, -3, -2, -4, -2, -1, -3, -2, -4] fearless	1.9	0.83066	[3, 3, 3, 2, 2, 2, 1, 1, 1, 1] fearlessly	1.1	1.22066	[2, -2, 1, 1, 2, 1, 3, 1, 1, 1] fearlessness	1.1	1.13578	[3, 2, -1, 2, 0, 2, 1, 1, 1, 0] fears	-1.8	0.6	[-2, -2, -3, -2, -2, -1, -1, -2, -1, -2] fearsome	-1.7	0.64031	[-3, -1, -1, -2, -1, -2, -2, -2, -1, -2] fed up	-1.8	1.249	[-2, -2, -3, -4, -2, -2, -1, -2, -1, 1] feeble	-1.2	1.249	[-2, -2, -3, -1, -1, -2, -1, -1, 2, -1] feeling	0.5	1.0247	[0, 0, 0, 3, 0, 2, 0, 0, 0, 0] felonies	-2.5	0.5	[-3, -3, -3, -2, -2, -2, -2, -3, -2, -3] felony	-2.5	1.36015	[-4, -3, -4, -2, -3, -3, -2, -3, -2, 1] ferocious	-0.4	1.56205	[1, 1, -2, -3, -1, 2, 1, -2, -1, 0] ferociously	-1.1	1.86815	[-3, -4, 2, -2, 0, -2, -1, -1, 2, -2] ferociousness	-1.0	1.89737	[2, -4, -2, 0, -2, -3, -1, 0, 2, -2] ferocities	-1.0	1.54919	[1, 0, -2, 0, 0, -3, 0, 0, -2, -4] ferocity	-0.7	1.67631	[-2, -1, -4, 0, 0, -3, 1, 1, 0, 1] fervent	1.1	1.44568	[3, 0, 0, 1, -2, 2, 2, 3, 1, 1] fervid	0.5	2.20227	[4, -2, 1, -2, 4, 0, -1, 2, 1, -2] festival	2.2	0.6	[2, 2, 3, 2, 3, 2, 2, 2, 3, 1] festivalgoer	1.3	1.1	[1, 3, 2, 3, 0, 0, 1, 2, 0, 1] festivalgoers	1.2	0.9798	[2, 2, 0, 0, 0, 2, 2, 0, 2, 2] festivals	1.5	1.11803	[2, 0, 2, 3, 0, 3, 2, 1, 2, 0] festive	2.0	0.63246	[2, 3, 2, 3, 1, 2, 2, 2, 1, 2] festively	2.2	0.6	[2, 2, 3, 1, 3, 2, 3, 2, 2, 2] festiveness	2.4	0.8	[1, 3, 2, 1, 3, 3, 3, 3, 2, 3] festivities	2.1	0.7	[1, 2, 1, 2, 3, 2, 3, 3, 2, 2] festivity	2.2	1.07703	[3, 3, 3, 0, 2, 1, 3, 3, 1, 3] feud	-1.4	0.66332	[-3, -2, -1, -2, -1, -1, -1, -1, -1, -1] feudal	-0.8	0.87178	[-1, -2, -2, 0, 0, 0, -2, -1, 0, 0] feudalism	-0.9	1.37477	[-2, -3, -2, -3, 0, 0, 1, 0, 0, 0] feudalisms	-0.2	0.74833	[0, 0, 0, 0, 0, 0, -1, 0, -2, 1] feudalist	-0.9	1.13578	[-2, -2, -2, -2, 0, 0, 1, 0, 0, -2] feudalistic	-1.1	0.7	[0, -1, -1, 0, -2, -1, -2, -1, -2, -1] feudalities	-0.4	1.0198	[-1, 0, -1, -2, -1, 0, -1, 0, 0, 2] feudality	-0.5	1.28452	[1, -1, 0, -1, 1, 0, -3, -2, 1, -1] feudalization	-0.3	1.18743	[-2, -2, 0, 0, 2, 0, -1, -1, 1, 0] feudalize	-0.5	0.92195	[-1, 0, -1, 0, -2, 0, 1, 0, 0, -2] feudalized	-0.8	1.07703	[-1, -1, -3, 0, 0, 0, 1, -1, -2, -1] feudalizes	-0.1	0.53852	[0, 0, -1, 0, -1, 0, 0, 0, 1, 0] feudalizing	-0.7	1.34536	[2, -2, -1, 0, 0, -2, -1, -2, 1, -2] feudally	-0.6	0.66332	[0, 0, -1, -1, 0, -1, 0, -1, -2, 0] feudaries	-0.3	0.9	[0, 0, 0, -2, -2, 0, 0, 0, 0, 1] feudary	-0.8	0.74833	[0, 0, -1, -1, -2, 0, -1, 0, -2, -1] feudatories	-0.5	0.92195	[-3, 0, -1, 0, 0, 0, 0, -1, 0, 0] feudatory	-0.1	0.83066	[-2, 0, 0, 0, 1, 0, 1, -1, 0, 0] feuded	-2.2	0.6	[-2, -2, -2, -1, -3, -3, -2, -3, -2, -2] feuding	-1.6	0.66332	[-2, -1, -2, -2, -1, -1, -3, -1, -2, -1] feudist	-1.1	0.83066	[-2, 0, -3, -1, -1, -1, 0, -1, -1, -1] feudists	-0.7	0.9	[0, 0, -1, 0, 0, -2, -2, 0, -2, 0] feuds	-1.4	1.0198	[-2, -2, -2, -1, -1, -1, -3, -2, 1, -1] fiasco	-2.3	0.64031	[-2, -2, -3, -3, -2, -3, -1, -3, -2, -2] fidgety	-1.4	0.66332	[-1, -2, -2, 0, -1, -1, -2, -1, -2, -2] fiery	-1.4	0.91652	[0, -1, -1, -2, -2, 0, -3, -1, -2, -2] fiesta	2.1	0.7	[3, 2, 1, 2, 2, 1, 3, 3, 2, 2] fiestas	1.5	1.0247	[3, 0, 3, 1, 0, 2, 2, 1, 2, 1] fight	-1.6	1.56205	[-1, -2, -3, -3, -1, 2, -4, -1, -2, -1] fighter	0.6	1.11355	[3, 0, 0, -1, 1, 0, 1, 0, 2, 0] fighters	-0.2	1.46969	[-1, 2, -2, 0, 2, 0, -2, -2, 0, 1] fighting	-1.5	1.11803	[-1, -2, -3, -2, -2, -2, 0, -3, 0, 0] fightings	-1.9	0.53852	[-2, -3, -1, -2, -2, -2, -2, -1, -2, -2] fights	-1.7	0.64031	[-2, -2, -1, -2, -2, -1, -3, -1, -1, -2] fine	0.8	0.6	[1, 0, 1, 2, 1, 1, 1, 1, 0, 0] fire	-1.4	1.49666	[-2, 0, -4, 0, -2, -1, -1, 0, -4, 0] fired	-2.6	0.91652	[-2, -3, -4, -3, -3, -1, -3, -3, -1, -3] firing	-1.4	0.8	[0, -1, -1, -1, -1, -2, -2, -3, -2, -1] fit	1.5	1.0247	[2, 1, 2, 0, 4, 2, 1, 1, 1, 1] fitness	1.1	0.9434	[0, 2, 1, 0, 1, 3, 2, 1, 0, 1] flagship	0.4	0.91652	[0, 0, 0, 0, 0, 0, 0, 1, 3, 0] flatter	0.4	1.42829	[-2, -2, 1, 2, 1, -1, 1, 2, 1, 1] flattered	1.6	2.00998	[2, 3, 3, 1, 2, 3, 3, 1, 2, -4] flatterer	-0.3	1.9	[-4, 2, -1, 1, 2, 2, -2, -1, -1, -1] flatterers	0.3	1.84662	[2, 1, -2, 1, 0, -4, 2, 1, 2, 0] flatteries	1.2	1.16619	[2, 2, 3, 1, -1, 0, 0, 1, 2, 2] flattering	1.3	2.19317	[3, 2, 2, 3, -4, 4, -1, 2, 1, 1] flatteringly	1.0	1.61245	[2, 2, 1, 2, 1, -3, -1, 2, 2, 2] flatters	0.6	2.10713	[1, 1, 2, 2, 3, -1, -2, 2, -4, 2] flattery	0.4	1.49666	[1, -1, -2, 1, 3, -2, 1, 1, 1, 1] flawed	-2.1	0.99443	[-1, -2, -2, -4, -3, -2, -3, -1, -2, -1] flawless	2.3	2.14709	[4, 3, 4, 4, 1, 2, 4, 4, -2, -1] flawlessly	0.8	1.83303	[-2, 2, 3, 1, 0, -2, 2, 2, -1, 3] flees	-0.7	1.18743	[-3, 0, -2, 0, -1, -1, -1, 1, -1, 1] flexibilities	1.0	1.09545	[1, 3, 1, 0, 1, -1, 2, 0, 2, 1] flexibility	1.4	0.8	[2, 2, 0, 2, 1, 2, 1, 0, 2, 2] flexible	0.9	0.83066	[2, 1, 0, 0, 1, 2, 0, 1, 2, 0] flexibly	1.3	0.78102	[2, 1, 0, 0, 1, 2, 2, 1, 2, 2] flirtation	1.7	0.64031	[3, 1, 1, 2, 2, 1, 2, 1, 2, 2] flirtations	-0.1	1.64012	[0, -4, 1, 0, 0, -2, 1, 1, 2, 0] flirtatious	0.5	2.5	[-4, 1, 2, 1, 2, -3, 3, 4, -2, 1] flirtatiously	-0.1	1.86815	[2, -1, 1, 2, 1, 1, -3, -3, -2, 1] flirtatiousness	0.6	1.85472	[1, 0, 2, 1, 1, 2, 1, -4, -1, 3] flirted	-0.2	1.98997	[1, 2, -1, 1, 1, 1, -3, -3, -3, 2] flirter	-0.4	1.85472	[1, 2, -1, 0, 1, 1, -3, -3, -3, 1] flirters	0.6	2.10713	[1, 4, 0, 1, 2, 1, -4, 2, 1, -2] flirtier	-0.1	1.37477	[-2, 1, 1, 1, 1, -2, 1, -1, -2, 1] flirtiest	0.4	1.74356	[3, 1, 2, 1, 1, -1, -3, -2, 1, 1] flirting	0.8	1.83303	[1, 2, 2, 2, 2, -1, 1, 2, -4, 1] flirts	0.7	1.18743	[2, -1, 2, 1, 1, -2, 1, 1, 1, 1] flirty	0.6	1.35647	[2, -2, 2, 1, 1, -2, 1, 1, 1, 1] flop	-1.4	0.4899	[-1, -1, -2, -1, -2, -1, -2, -1, -2, -1] flops	-1.4	0.8	[-2, -2, -2, 0, -2, -1, -2, -1, 0, -2] flu	-1.6	0.8	[0, -2, -1, -2, -1, -2, -3, -1, -2, -2] flunk	-1.3	0.78102	[-2, -1, -1, -3, -1, -1, 0, -2, -1, -1] flunked	-2.1	0.9434	[-4, -1, -3, -2, -1, -1, -3, -2, -2, -2] flunker	-1.9	1.04403	[-4, -1, -3, -2, -1, -1, -3, -2, -1, -1] flunkers	-1.6	0.8	[-2, -1, -3, -2, 0, -1, -1, -2, -2, -2] flunkey	-1.8	0.9798	[-4, -1, -3, -2, -1, -1, -2, -2, -1, -1] flunkeys	-0.6	1.2	[-2, -1, -1, 2, -1, 0, -1, -2, 1, -1] flunkies	-1.4	1.11355	[-2, -2, 0, -3, 1, -2, -1, -2, -1, -2] flunking	-1.5	0.92195	[-2, -1, -1, -3, -1, -1, 0, -2, -3, -1] flunks	-1.8	1.32665	[0, -2, -3, -3, -2, -3, -2, -1, 1, -3] flunky	-1.8	1.4	[-2, -3, -3, -3, -2, -1, -2, -2, 2, -2] flustered	-1.0	1.18322	[-1, -1, -1, -1, -3, -2, 2, -1, -1, -1] focused	1.6	0.91652	[2, 2, 1, 3, 0, 1, 1, 2, 3, 1] foe	-1.9	1.22066	[-1, -3, -2, -2, -2, -2, -4, 1, -2, -2] foehns	0.2	0.4	[1, 0, 0, 0, 0, 0, 0, 0, 1, 0] foeman	-1.8	0.6	[-2, -3, -1, -2, -2, -2, -2, -1, -1, -2] foemen	-0.3	1.18743	[0, 0, -1, 0, 0, -2, -2, -1, 2, 1] foes	-2.0	0.89443	[-2, -1, -2, -2, -4, -3, -2, -1, -1, -2] foetal	-0.1	0.3	[0, -1, 0, 0, 0, 0, 0, 0, 0, 0] foetid	-2.3	1.41774	[-1, -3, 0, -2, -3, 0, -3, -3, -4, -4] foetor	-3.0	0.89443	[-3, -4, -2, -3, -3, -1, -4, -4, -3, -3] foetors	-2.1	1.04403	[-2, -3, -1, -3, -2, -2, 0, -4, -2, -2] foetus	0.2	0.6	[0, 0, 0, 0, 0, 0, 0, 0, 2, 0] foetuses	0.2	0.6	[2, 0, 0, 0, 0, 0, 0, 0, 0, 0] fond	1.9	0.83066	[2, 3, 2, 3, 1, 1, 3, 2, 1, 1] fondly	1.9	0.7	[1, 2, 3, 2, 2, 3, 2, 1, 1, 2] fondness	2.5	0.67082	[3, 2, 2, 2, 2, 3, 4, 3, 2, 2] fool	-1.9	0.53852	[-2, -2, -2, -2, -1, -2, -2, -3, -1, -2] fooled	-1.6	0.4899	[-2, -1, -1, -2, -2, -1, -2, -1, -2, -2] fooleries	-1.8	1.07703	[-1, -2, 0, -2, -1, -2, -4, -2, -3, -1] foolery	-1.8	0.87178	[-2, -2, -3, 0, -3, -1, -2, -2, -2, -1] foolfish	-0.8	0.87178	[-1, 0, -1, -2, 0, 0, 0, -2, 0, -2] foolfishes	-0.4	0.4899	[-1, -1, -1, 0, 0, 0, 0, 0, 0, -1] foolhardier	-1.5	0.67082	[-2, -1, -2, -1, -2, -1, -2, -2, 0, -2] foolhardiest	-1.3	0.64031	[0, -2, -1, -1, -1, -1, -2, -1, -2, -2] foolhardily	-1.0	1.41421	[-1, -1, -2, -2, -2, -2, -1, -1, 3, -1] foolhardiness	-1.6	0.66332	[-3, -1, -1, -1, -2, -1, -2, -2, -2, -1] foolhardy	-1.4	0.4899	[-2, -2, -1, -1, -1, -2, -1, -1, -2, -1] fooling	-1.7	0.64031	[-2, -2, -1, -2, -2, -2, -1, -3, -1, -1] foolish	-1.1	0.83066	[-1, -1, -1, -2, -2, -1, -1, -2, 1, -1] foolisher	-1.7	0.64031	[-2, -1, -2, -1, -2, -1, -2, -3, -2, -1] foolishest	-1.4	1.28062	[-2, 1, -2, -3, -2, -2, -1, 1, -2, -2] foolishly	-1.8	0.6	[-2, -1, -2, -2, -3, -1, -1, -2, -2, -2] foolishness	-1.8	0.6	[-1, -1, -2, -2, -2, -1, -3, -2, -2, -2] foolishnesses	-2.0	0.89443	[-1, -1, -1, -2, -3, -1, -3, -3, -2, -3] foolproof	1.6	0.91652	[2, 1, 3, 1, 1, 0, 1, 2, 2, 3] fools	-2.2	0.74833	[-2, -4, -2, -2, -1, -2, -2, -2, -2, -3] foolscaps	-0.8	0.6	[0, -1, -1, -1, 0, -1, -2, 0, -1, -1] forbid	-1.3	0.78102	[-2, -2, -1, -1, -1, -1, 0, -1, -1, -3] forbiddance	-1.4	1.35647	[-3, -1, -2, -3, -1, 2, -1, -2, -2, -1] forbiddances	-1.0	2.0	[-2, 3, 1, -2, -4, -2, -3, -1, -1, 1] forbidden	-1.8	0.74833	[-1, -2, -2, -2, -1, -1, -3, -3, -2, -1] forbidder	-1.6	0.66332	[-1, -2, -2, -2, -2, 0, -2, -2, -2, -1] forbidders	-1.5	0.80623	[-1, -2, -1, -3, -2, -2, 0, -2, -1, -1] forbidding	-1.9	0.7	[-3, -1, -1, -2, -2, -1, -3, -2, -2, -2] forbiddingly	-1.9	0.53852	[-2, -1, -2, -2, -2, -2, -3, -2, -1, -2] forbids	-1.3	0.45826	[-1, -1, -2, -1, -1, -2, -1, -2, -1, -1] forced	-2.0	0.63246	[-1, -2, -3, -3, -1, -2, -2, -2, -2, -2] foreclosure	-0.5	1.43178	[-1, -2, -3, 2, -1, 1, -1, 0, 1, -1] foreclosures	-2.4	0.66332	[-3, -2, -3, -2, -3, -3, -1, -2, -2, -3] forgave	1.4	0.91652	[2, 2, 1, 2, 1, -1, 1, 2, 2, 2] forget	-0.9	0.53852	[-1, -1, -1, -1, 0, -1, -1, 0, -2, -1] forgetful	-1.1	1.3	[-3, -1, -2, 1, 0, -2, 1, -1, -2, -2] forgivable	1.7	0.64031	[2, 1, 2, 1, 2, 2, 1, 2, 3, 1] forgivably	1.6	0.66332	[1, 1, 2, 1, 2, 2, 1, 2, 3, 1] forgive	1.1	1.22066	[2, 1, 1, 3, 1, 1, 1, 2, -2, 1] forgiven	1.6	0.66332	[2, 1, 1, 3, 2, 2, 1, 2, 1, 1] forgiveness	1.1	1.22066	[2, 1, 1, 1, 3, 2, -2, 1, 1, 1] forgiver	1.7	0.78102	[3, 1, 1, 3, 1, 2, 1, 2, 2, 1] forgivers	1.2	0.6	[2, 1, 2, 1, 0, 1, 1, 2, 1, 1] forgives	1.7	0.78102	[2, 1, 3, 1, 1, 3, 2, 1, 1, 2] forgiving	1.9	0.7	[2, 3, 2, 1, 2, 3, 1, 1, 2, 2] forgivingly	1.4	0.4899	[2, 1, 2, 1, 1, 1, 2, 1, 2, 1] forgivingness	1.8	0.6	[3, 1, 2, 1, 2, 2, 2, 2, 2, 1] forgotten	-0.9	0.53852	[-1, 0, -1, 0, -1, -1, -1, -1, -2, -1] fortunate	1.9	0.53852	[2, 2, 1, 1, 2, 2, 2, 3, 2, 2] fought	-1.3	0.78102	[-2, -1, -2, -1, 0, -1, -1, -1, -1, -3] foughten	-1.9	1.3	[-1, -3, 0, -2, -4, -3, -2, 0, -1, -3] frantic	-1.9	0.7	[-3, -2, -2, -1, -2, -1, -2, -3, -1, -2] frantically	-1.4	0.4899	[-2, -1, -2, -1, -1, -1, -1, -1, -2, -2] franticness	-0.7	1.18743	[-1, -2, 2, -1, -1, -1, 1, -2, -1, -1] fraud	-2.8	0.6	[-3, -3, -2, -3, -2, -3, -3, -2, -4, -3] frauds	-2.3	0.45826	[-2, -2, -2, -3, -3, -2, -3, -2, -2, -2] fraudster	-2.5	0.92195	[-4, -1, -2, -2, -4, -2, -3, -2, -3, -2] fraudsters	-2.4	0.91652	[-4, -3, -3, -3, -1, -2, -2, -2, -1, -3] fraudulence	-2.3	0.78102	[-3, -2, -2, -3, -2, -1, -2, -4, -2, -2] fraudulent	-2.2	0.6	[-2, -3, -2, -2, -2, -1, -3, -3, -2, -2] freak	-1.9	0.9434	[-3, -2, -1, -2, -4, -1, -2, -1, -2, -1] freaked	-1.2	1.32665	[-2, -2, 1, 0, -1, -2, -3, 1, -2, -2] freakier	-1.3	1.1	[-3, -2, -2, 1, -2, -2, -1, 0, -1, -1] freakiest	-1.6	1.0198	[-2, -3, -3, -3, -1, -1, -1, 0, -1, -1] freakiness	-1.4	0.8	[-1, -1, -1, -2, -3, 0, -2, -1, -2, -1] freaking	-1.8	1.16619	[0, -4, -3, -2, -3, -1, -1, -1, -2, -1] freakish	-2.1	1.37477	[-1, -3, -2, -1, -2, -3, -4, -3, 1, -3] freakishly	-0.8	1.249	[-2, -2, 1, -2, -1, 1, -1, 1, -1, -2] freakishness	-1.4	1.68523	[-2, -4, -1, 0, -1, -2, 1, 1, -4, -2] freakout	-1.8	1.6	[-3, 1, -3, -2, -3, -1, -4, 1, -2, -2] freakouts	-1.5	0.92195	[-2, -2, -1, -1, -2, -2, -2, 1, -2, -2] freaks	-0.4	1.35647	[2, 0, -2, -1, 0, 1, -2, 1, -1, -2] freaky	-1.5	1.20416	[-2, -2, -2, -2, -1, -2, 2, -2, -2, -2] free	2.3	0.9	[2, 4, 3, 3, 2, 1, 2, 3, 1, 2] freebase	-0.1	1.44568	[2, 0, -2, 1, -3, 0, -1, 0, 1, 1] freebased	0.8	1.16619	[2, 0, -1, 0, 3, 0, 1, 2, 1, 0] freebases	0.8	1.249	[2, 0, -1, 0, 2, 0, 0, 3, 2, 0] freebasing	-0.4	1.56205	[-4, -2, 0, 0, 1, 2, 0, -1, 0, 0] freebee	1.3	0.78102	[1, 2, 1, 1, 1, 0, 3, 2, 1, 1] freebees	1.3	1.26886	[2, 2, -2, 2, 2, 2, 0, 2, 1, 2] freebie	1.8	0.9798	[2, 1, 3, 2, 2, 4, 1, 1, 1, 1] freebies	1.8	0.9798	[2, 3, 1, 1, 2, 4, 1, 1, 2, 1] freeboard	0.3	0.64031	[0, 0, 0, 0, 0, 1, 0, 0, 0, 2] freeboards	0.7	0.9	[0, 0, 0, 1, 0, 0, 2, 2, 2, 0] freeboot	-0.7	1.67631	[1, -2, -3, -2, -1, -2, -1, 2, -1, 2] freebooter	-1.7	1.00499	[-2, -2, -3, -3, -2, -2, 0, -1, 0, -2] freebooters	-0.2	1.32665	[-1, -3, 1, 0, -2, 1, 0, 1, 0, 1] freebooting	-0.8	1.249	[-2, -2, -1, 2, -1, -1, -1, 1, -2, -1] freeborn	1.2	0.74833	[1, 0, 3, 1, 1, 1, 1, 1, 2, 1] freed	1.7	1.34536	[-2, 2, 3, 2, 2, 2, 3, 1, 2, 2] freedman	1.1	0.9434	[1, 2, 0, 1, 2, 1, 3, 0, 0, 1] freedmen	0.7	0.78102	[1, 2, 1, 2, 0, 1, 0, 0, 0, 0] freedom	3.2	0.9798	[4, 4, 1, 3, 2, 4, 4, 3, 3, 4] freedoms	1.2	1.07703	[2, 1, 1, 3, 2, 1, 2, 1, -1, 0] freedwoman	1.6	1.74356	[3, 2, 0, 4, 4, 3, 1, -1, 0, 0] freedwomen	1.3	0.78102	[2, 0, 2, 0, 2, 1, 1, 1, 2, 2] freeform	0.9	0.83066	[0, 0, 0, 2, 1, 2, 1, 1, 2, 0] freehand	0.5	0.80623	[0, 0, 0, 1, 0, 2, 0, 2, 0, 0] freehanded	1.4	0.91652	[3, 0, 0, 2, 1, 2, 2, 1, 2, 1] freehearted	1.5	0.67082	[2, 0, 1, 2, 2, 2, 2, 1, 1, 2] freehold	0.7	0.78102	[1, 1, 0, 0, 2, 0, 2, 0, 1, 0] freeholder	0.5	0.5	[1, 1, 0, 0, 0, 1, 1, 0, 1, 0] freeholders	0.1	0.83066	[0, 0, 1, 0, 0, 1, 0, -2, 0, 1] freeholds	1.0	0.63246	[1, 0, 2, 0, 1, 2, 1, 1, 1, 1] freeing	2.1	1.04403	[2, 1, 1, 1, 4, 2, 2, 4, 2, 2] freelance	1.2	1.66132	[3, 0, 0, 0, 0, 1, 4, 0, 4, 0] freelanced	0.7	1.00499	[3, 0, 0, 0, 0, 2, 1, 0, 1, 0] freelancer	1.1	1.04403	[2, 0, 3, 2, 1, 0, 0, 0, 2, 1] freelancers	0.4	0.66332	[0, 0, 0, 2, 0, 0, 0, 1, 1, 0] freelances	0.7	0.9	[1, 0, 0, 0, 0, 2, 2, 0, 2, 0] freelancing	0.4	0.66332	[2, 0, 0, 0, 1, 0, 0, 0, 1, 0] freeload	-1.9	1.04403	[-2, -3, -1, -2, -1, 0, -1, -3, -3, -3] freeloaded	-1.6	0.8	[-2, 0, -3, -1, -1, -2, -2, -2, -2, -1] freeloader	-0.7	1.00499	[-2, 0, -1, -2, -1, 1, -1, 1, -1, -1] freeloaders	-0.1	1.57797	[-2, -2, -1, 0, 0, 2, -2, 0, 2, 2] freeloading	-1.3	2.0025	[1, -2, -4, -2, -3, -3, 1, 2, 0, -3] freeloads	-1.3	0.9	[-1, -1, -2, -2, -2, 0, 0, -1, -1, -3] freely	1.9	0.53852	[2, 1, 2, 2, 2, 3, 2, 2, 1, 2] freeman	1.7	0.78102	[2, 2, 2, 1, 2, 0, 3, 1, 2, 2] freemartin	-0.5	0.92195	[0, 0, 0, -1, 0, -1, 0, 0, -3, 0] freemasonries	0.7	0.78102	[0, 1, 0, 0, 0, 1, 1, 0, 2, 2] freemasonry	0.3	0.64031	[1, 0, 2, 0, 0, 0, 0, 0, 0, 0] freemen	1.5	0.67082	[1, 1, 0, 2, 2, 2, 2, 2, 1, 2] freeness	1.6	0.66332	[1, 2, 3, 2, 2, 1, 1, 1, 2, 1] freenesses	1.7	0.78102	[1, 2, 1, 2, 2, 2, 3, 2, 2, 0] freer	1.1	0.7	[2, 2, 0, 2, 1, 1, 1, 0, 1, 1] freers	1.0	0.89443	[0, 1, 1, 2, 3, 1, 0, 1, 0, 1] frees	1.2	0.6	[1, 2, 0, 1, 1, 1, 2, 1, 1, 2] freesia	0.4	0.91652	[0, 0, 3, 0, 1, 0, 0, 0, 0, 0] freesias	0.4	0.66332	[0, 0, 0, 1, 1, 2, 0, 0, 0, 0] freest	1.6	1.28062	[3, 4, 0, 3, 0, 1, 1, 2, 1, 1] freestanding	1.1	0.83066	[2, 1, 1, 2, 0, 0, 0, 2, 1, 2] freestyle	0.7	0.9	[2, 0, 1, 0, 2, 0, 0, 2, 0, 0] freestyler	0.4	0.91652	[0, 0, 0, 0, 1, 0, 0, 0, 0, 3] freestylers	0.8	0.87178	[2, 1, 0, 0, 0, 1, 0, 2, 2, 0] freestyles	0.3	0.64031	[0, 0, 0, 0, 1, 0, 0, 0, 0, 2] freethinker	1.0	0.63246	[1, 2, 1, 1, 2, 1, 0, 0, 1, 1] freethinkers	1.0	0.7746	[1, 0, 0, 1, 2, 2, 1, 2, 0, 1] freethinking	1.1	0.7	[1, 0, 1, 1, 2, 2, 0, 2, 1, 1] freeware	0.7	1.48661	[1, 0, 0, 2, 4, 0, 1, -2, 1, 0] freeway	0.2	0.6	[0, 0, 0, 0, 0, 0, 2, 0, 0, 0] freewheel	0.5	1.11803	[2, 0, 1, 2, 0, -2, 0, 0, 1, 1] freewheeled	0.3	0.78102	[1, 0, 0, 0, 0, 1, 2, -1, 0, 0] freewheeler	0.2	0.87178	[-2, 1, 0, 0, 0, 1, 1, 1, 0, 0] freewheelers	-0.3	1.00499	[-2, 0, 0, 0, 2, -1, -1, 0, -1, 0] freewheeling	0.5	1.11803	[-1, 2, 0, -1, 1, 2, 2, 0, 0, 0] freewheelingly	0.8	0.87178	[1, 2, 0, 0, 1, 2, 1, -1, 1, 1] freewheels	0.6	0.91652	[0, 3, 1, 1, 1, 0, 0, 0, 0, 0] freewill	1.0	0.7746	[1, 1, 1, -1, 1, 1, 1, 2, 2, 1] freewriting	0.8	1.07703	[0, 2, 0, 0, 1, 0, 3, 0, 2, 0] freeze	0.2	0.9798	[-1, 0, 1, 1, -1, 0, 0, -1, 2, 1] freezers	-0.1	0.3	[0, 0, 0, -1, 0, 0, 0, 0, 0, 0] freezes	-0.1	1.13578	[0, -2, -2, 1, 0, 0, 0, 0, 2, 0] freezing	-0.4	1.28062	[-2, -1, -2, -2, 0, 0, 0, 1, 2, 0] freezingly	-1.6	0.4899	[-1, -2, -2, -1, -2, -2, -2, -2, -1, -1] frenzy	-1.3	1.48661	[-1, -1, -2, -2, 2, -4, -1, -2, 0, -2] fresh	1.3	0.45826	[2, 2, 1, 1, 1, 1, 2, 1, 1, 1] friend	2.2	0.6	[2, 2, 3, 2, 3, 3, 1, 2, 2, 2] friended	1.7	0.78102	[2, 2, 1, 3, 1, 1, 2, 3, 1, 1] friending	1.8	1.07703	[1, 4, 2, 0, 1, 3, 2, 2, 1, 2] friendless	-1.5	0.67082	[-1, -2, -2, -1, 0, -2, -1, -2, -2, -2] friendlessness	-0.3	2.05183	[-2, -2, 2, 1, -4, -1, 2, 1, -2, 2] friendlier	2.0	0.63246	[3, 2, 2, 1, 2, 2, 2, 1, 3, 2] friendlies	2.2	0.74833	[3, 2, 2, 3, 2, 2, 1, 3, 1, 3] friendliest	2.6	0.91652	[3, 3, 1, 3, 2, 1, 3, 3, 4, 3] friendlily	1.8	0.74833	[1, 2, 2, 1, 3, 1, 1, 2, 3, 2] friendliness	2.0	0.7746	[3, 1, 3, 2, 2, 3, 2, 1, 2, 1] friendly	2.2	0.6	[2, 1, 3, 3, 2, 2, 3, 2, 2, 2] friends	2.1	0.53852	[3, 3, 2, 2, 2, 1, 2, 2, 2, 2] friendship	1.9	0.53852	[1, 2, 2, 1, 3, 2, 2, 2, 2, 2] friendships	1.6	0.91652	[2, 1, 1, 0, 3, 2, 2, 3, 1, 1] fright	-1.6	1.35647	[-2, -1, 0, -3, -2, -4, 1, -1, -2, -2] frighted	-1.4	0.91652	[0, -1, -1, -1, -2, -1, -3, -1, -1, -3] frighten	-1.4	0.8	[0, -1, -1, -1, -2, -1, -3, -2, -1, -2] frightened	-1.9	0.7	[-2, -3, -1, -1, -2, -2, -3, -1, -2, -2] frightening	-2.2	0.9798	[-1, -1, -4, -3, -3, -3, -2, -2, -1, -2] frighteningly	-2.1	0.7	[-2, -2, -2, -2, -4, -2, -1, -2, -2, -2] frightens	-1.7	0.78102	[-2, -1, -2, -1, -1, -1, -2, -3, -3, -1] frightful	-2.3	0.78102	[-2, -2, -2, -2, -3, -2, -3, -1, -4, -2] frightfully	-1.7	0.78102	[-1, -1, -1, -2, -2, -1, -2, -3, -1, -3] frightfulness	-1.9	0.7	[-1, -1, -2, -3, -3, -2, -1, -2, -2, -2] frighting	-1.5	0.67082	[-1, -2, -2, -3, -1, -1, -1, -1, -2, -1] frights	-1.1	0.83066	[-2, 0, -2, 0, -2, -1, 0, -1, -1, -2] frisky	1.0	1.48324	[1, -2, 1, 1, 1, 3, 3, 2, -1, 1] frowning	-1.4	1.42829	[-1, -1, -1, -3, -3, 1, -2, -3, 1, -2] frustrate	-2.0	0.63246	[-2, -3, -2, -1, -3, -2, -2, -1, -2, -2] frustrated	-2.4	0.66332	[-2, -1, -3, -3, -2, -2, -3, -2, -3, -3] frustrates	-1.9	0.7	[-1, -1, -3, -2, -1, -2, -2, -2, -3, -2] frustrating	-1.9	0.83066	[-2, -2, -1, -1, -1, -2, -2, -2, -4, -2] frustratingly	-2.0	0.63246	[-1, -3, -2, -2, -2, -2, -2, -3, -2, -1] frustration	-2.1	0.7	[-3, -2, -3, -2, -1, -2, -3, -2, -1, -2] frustrations	-2.0	0.7746	[-2, -1, -1, -3, -2, -2, -3, -3, -2, -1] fuck	-2.5	1.20416	[0, -3, -4, -3, -2, -3, -4, -1, -2, -3] fucked	-3.4	0.66332	[-2, -3, -4, -3, -4, -4, -3, -4, -3, -4] fucker	-3.3	0.78102	[-3, -4, -4, -2, -3, -4, -4, -2, -4, -3] fuckers	-2.9	0.9434	[-3, -3, -4, -3, -4, -4, -2, -1, -2, -3] fuckface	-3.2	1.07703	[-4, -2, -4, -1, -4, -4, -2, -4, -3, -4] fuckhead	-3.1	1.04403	[-1, -4, -2, -4, -3, -3, -2, -4, -4, -4] fucks	-2.1	1.13578	[-3, -2, -1, -1, -1, -2, -4, -2, -4, -1] fucktard	-3.1	0.9434	[-4, -4, -4, -3, -4, -2, -4, -2, -2, -2] fud	-1.1	1.37477	[-1, -3, -1, -1, -3, -2, 2, 0, -1, -1] fuked	-2.5	0.92195	[-2, -3, -3, -3, -3, -3, 0, -3, -3, -2] fuking	-3.2	0.9798	[-4, -1, -3, -4, -3, -2, -4, -3, -4, -4] fulfill	1.9	1.04403	[1, 1, 2, 4, 1, 1, 2, 1, 3, 3] fulfilled	1.8	0.87178	[1, 2, 1, 0, 2, 2, 3, 2, 2, 3] fulfills	1.0	1.09545	[2, 1, 1, 1, 1, -2, 2, 2, 1, 1] fume	-1.2	1.16619	[0, 0, 0, -2, -3, -2, -1, -3, -1, 0] fumed	-1.8	0.87178	[-3, -2, -3, -2, -2, 0, -2, -1, -1, -2] fumeless	0.3	0.64031	[0, 0, 0, 1, 0, 0, 0, 2, 0, 0] fumelike	-0.7	1.18743	[0, 0, -3, 0, 0, -2, -1, -2, 1, 0] fumer	0.7	0.9	[2, 1, 0, 1, 0, 2, 0, -1, 1, 1] fumers	-0.8	0.6	[0, -1, -1, -2, -1, 0, 0, -1, -1, -1] fumes	-0.1	1.13578	[0, -2, 0, 0, -1, 1, -1, -1, 1, 2] fumet	0.4	1.0198	[2, 0, 0, -1, 0, 1, -1, 0, 2, 1] fumets	-0.4	0.66332	[0, -1, 0, -1, 0, 0, -2, 0, 0, 0] fumette	-0.6	1.11355	[-2, -2, 0, -1, -1, 2, 0, 0, -1, -1] fuming	-2.7	0.64031	[-2, -3, -3, -2, -3, -4, -3, -2, -2, -3] fun	2.3	0.45826	[2, 3, 2, 3, 2, 2, 3, 2, 2, 2] funeral	-1.5	1.74642	[-2, -3, -2, -1, -3, -1, -4, 1, 2, -2] funerals	-1.6	2.2891	[-3, -4, -1, -4, 2, -3, -3, 2, 1, -3] funky	-0.4	1.62481	[0, -1, 2, -1, 2, 0, -4, -1, 0, -1] funned	2.3	0.9	[2, 3, 3, 4, 1, 2, 2, 2, 3, 1] funnel	0.1	0.53852	[1, 0, 0, 0, 0, -1, 0, 0, 1, 0] funneled	0.1	0.3	[0, 0, 0, 0, 0, 1, 0, 0, 0, 0] funnelform	0.5	0.80623	[0, 0, 1, 0, 0, 0, 0, 2, 2, 0] funneling	-0.1	0.3	[0, 0, 0, 0, -1, 0, 0, 0, 0, 0] funnelled	-0.1	0.3	[0, 0, 0, 0, -1, 0, 0, 0, 0, 0] funnelling	0.1	0.3	[0, 0, 0, 0, 1, 0, 0, 0, 0, 0] funnels	0.4	0.66332	[0, 0, 0, 1, 0, 0, 0, 0, 2, 1] funner	2.2	0.74833	[2, 2, 3, 4, 1, 2, 2, 2, 2, 2] funnest	2.9	0.7	[4, 3, 4, 3, 2, 3, 2, 3, 2, 3] funnier	1.7	1.00499	[2, 2, -1, 2, 2, 2, 3, 1, 2, 2] funnies	1.3	1.00499	[2, 1, -1, 2, 1, 2, 3, 1, 1, 1] funniest	2.6	0.8	[3, 3, 3, 3, 2, 2, 1, 2, 4, 3] funnily	1.9	0.53852	[2, 3, 1, 2, 2, 2, 2, 1, 2, 2] funniness	1.8	0.9798	[3, 2, 3, 2, 2, 1, 3, 0, 1, 1] funninesses	1.6	0.91652	[1, 3, 0, 3, 1, 2, 1, 2, 2, 1] funning	1.8	0.9798	[2, 2, 1, 2, 1, 4, 0, 2, 2, 2] funny	1.9	0.53852	[3, 2, 2, 1, 2, 2, 1, 2, 2, 2] funnyman	1.4	0.4899	[2, 2, 1, 2, 1, 1, 1, 1, 2, 1] funnymen	1.3	1.1	[2, 1, 1, 0, 0, 3, 3, 1, 2, 0] furious	-2.7	1.41774	[-3, -3, -3, -4, -4, -4, 1, -2, -3, -2] furiously	-1.9	1.04403	[-2, -2, -4, -2, -1, -2, -1, -3, 0, -2] fury	-2.7	0.78102	[-4, -3, -2, -2, -2, -3, -4, -2, -3, -2] futile	-1.9	0.83066	[0, -3, -2, -2, -2, -2, -3, -1, -2, -2] gag	-1.4	1.0198	[-2, -2, -1, -2, 0, -2, -3, 0, 0, -2] gagged	-1.3	1.55242	[-2, -2, -1, -2, 2, -3, -1, -3, 1, -2] gain	2.4	0.4899	[2, 3, 2, 2, 3, 2, 3, 2, 3, 2] gained	1.6	0.66332	[2, 1, 2, 1, 1, 3, 2, 1, 2, 1] gaining	1.8	0.4	[1, 2, 2, 2, 1, 2, 2, 2, 2, 2] gains	1.4	0.4899	[1, 2, 1, 2, 2, 2, 1, 1, 1, 1] gallant	1.7	1.1	[4, 0, 3, 1, 1, 2, 2, 2, 1, 1] gallantly	1.9	0.53852	[2, 2, 3, 2, 2, 2, 2, 1, 2, 1] gallantry	2.6	0.8	[3, 3, 1, 2, 2, 3, 4, 2, 3, 3] geek	-0.8	0.9798	[0, 0, 0, -2, -3, -1, -1, 0, 0, -1] geekier	0.2	1.4	[0, 3, -1, -1, -1, 1, 2, 1, -1, -1] geekiest	-0.1	0.9434	[1, -1, -1, -1, -1, 1, 1, 1, 0, -1] geeks	-0.4	0.91652	[0, 0, -1, 0, 0, 0, 0, 0, -3, 0] geeky	-0.6	0.91652	[0, 0, -1, 0, -1, 0, -1, 0, -3, 0] generosities	2.6	0.4899	[3, 3, 2, 3, 2, 3, 2, 3, 2, 3] generosity	2.3	0.64031	[3, 1, 2, 2, 3, 2, 3, 3, 2, 2] generous	2.3	0.78102	[3, 2, 4, 2, 2, 1, 2, 3, 2, 2] generously	1.8	0.74833	[3, 3, 2, 1, 2, 1, 1, 2, 1, 2] generousness	2.4	0.91652	[3, 2, 3, 1, 3, 4, 3, 2, 2, 1] genial	1.8	0.6	[3, 1, 2, 1, 2, 2, 1, 2, 2, 2] gentle	1.9	0.53852	[2, 2, 2, 1, 2, 3, 2, 2, 1, 2] gentler	1.4	0.4899	[2, 1, 1, 1, 1, 2, 2, 1, 2, 1] gentlest	1.8	0.4	[2, 1, 2, 2, 2, 1, 2, 2, 2, 2] gently	2.0	0.7746	[2, 2, 2, 1, 1, 3, 3, 2, 1, 3] ghost	-1.3	1.34536	[-2, 0, 0, 0, 0, -3, -2, -3, 0, -3] giddy	-0.6	1.62481	[-2, -2, 3, -1, -1, -1, -1, -2, 2, -1] gift	1.9	0.53852	[2, 1, 2, 2, 2, 1, 2, 3, 2, 2] giggle	1.8	0.9798	[2, 2, 2, 2, 2, 3, 2, -1, 2, 2] giggled	1.5	1.20416	[1, 3, 1, 3, 3, 1, 1, -1, 2, 1] giggler	0.6	0.8	[1, 1, 1, 1, -1, 1, 1, 1, -1, 1] gigglers	1.4	0.4899	[1, 2, 2, 1, 2, 1, 1, 1, 1, 2] giggles	0.8	1.249	[1, 2, 2, 1, -1, 1, 1, 2, -2, 1] gigglier	1.0	1.09545	[2, 1, 1, 2, 2, 1, -1, 2, 1, -1] giggliest	1.7	1.26886	[4, 2, 1, 2, 1, 3, 2, 2, -1, 1] giggling	1.5	0.5	[2, 2, 1, 2, 2, 1, 1, 1, 1, 2] gigglingly	1.1	1.37477	[1, 2, 1, 1, -1, 2, 1, -1, 4, 1] giggly	1.0	1.41421	[1, 2, -2, 1, 2, 3, 1, -1, 2, 1] giver	1.4	0.66332	[1, 2, 2, 0, 1, 2, 1, 2, 1, 2] givers	1.7	1.34536	[2, -1, 3, 3, 3, 1, 1, 2, 0, 3] giving	1.4	1.0198	[1, 1, 3, 1, 1, 2, 3, 0, 2, 0] glad	2.0	0.63246	[3, 2, 1, 2, 2, 2, 1, 3, 2, 2] gladly	1.4	0.4899	[2, 2, 1, 2, 1, 1, 2, 1, 1, 1] glamor	2.1	0.9434	[1, 2, 2, 2, 1, 3, 2, 4, 3, 1] glamorise	1.3	1.1	[0, 1, 4, 1, 0, 2, 1, 2, 1, 1] glamorised	1.8	0.74833	[1, 2, 2, 2, 2, 2, 0, 2, 3, 2] glamorises	2.1	1.04403	[1, 3, 2, 4, 2, 2, 0, 2, 3, 2] glamorising	1.2	1.16619	[3, 2, 0, 3, 1, 2, 0, 1, 0, 0] glamorization	1.6	0.91652	[2, 2, 3, 0, 3, 1, 2, 1, 1, 1] glamorize	1.7	1.1	[1, 2, 1, 4, 2, 0, 3, 1, 2, 1] glamorized	2.1	1.04403	[3, 2, 1, 2, 4, 2, 2, 0, 3, 2] glamorizer	2.4	1.0198	[3, 2, 2, 3, 4, 3, 2, 0, 3, 2] glamorizers	1.6	1.11355	[4, 1, 1, 1, 1, 2, 0, 2, 3, 1] glamorizes	2.4	1.2	[3, 2, 2, 4, 4, 1, 2, 0, 3, 3] glamorizing	1.8	1.16619	[3, 0, 1, 2, 3, 2, 1, 0, 3, 3] glamorous	2.3	0.78102	[3, 2, 4, 2, 2, 2, 3, 2, 2, 1] glamorously	2.1	1.04403	[1, 3, 2, 1, 2, 1, 4, 1, 3, 3] glamors	1.4	0.66332	[1, 1, 2, 2, 2, 1, 2, 2, 0, 1] glamour	2.4	0.91652	[2, 4, 2, 1, 3, 2, 2, 2, 2, 4] glamourize	0.8	1.32665	[2, 1, 0, 1, 0, 4, 0, 0, -1, 1] glamourless	-1.6	1.49666	[-4, -1, -1, -2, -2, -3, -2, -1, 2, -2] glamourous	2.0	0.7746	[1, 3, 3, 2, 1, 2, 2, 2, 3, 1] glamours	1.9	0.83066	[1, 3, 2, 2, 3, 2, 1, 1, 3, 1] glee	3.2	0.4	[3, 4, 3, 3, 4, 3, 3, 3, 3, 3] gleeful	2.9	0.53852	[3, 3, 3, 3, 3, 4, 2, 2, 3, 3] gloom	-2.6	0.66332	[-4, -2, -3, -3, -2, -3, -2, -2, -2, -3] gloomed	-1.9	0.7	[-1, -2, -3, -1, -2, -2, -1, -2, -3, -2] gloomful	-2.1	0.9434	[-3, -1, -4, -2, -1, -1, -2, -3, -2, -2] gloomier	-1.5	1.20416	[-3, -2, -2, -3, -1, -2, 0, 1, -1, -2] gloomiest	-1.8	2.03961	[-2, -2, 2, -4, -2, -3, -4, -3, 2, -2] gloominess	-1.8	0.6	[-2, -1, -2, -3, -2, -1, -2, -2, -2, -1] gloominesses	-1.0	1.09545	[-1, -2, -2, -1, -1, -2, 2, -1, -1, -1] glooming	-1.8	0.74833	[-1, -2, -2, -1, -2, -1, -3, -1, -3, -2] glooms	-0.9	1.57797	[3, -2, -1, -2, -2, -2, 1, -2, -1, -1] gloomy	-0.6	1.56205	[2, -1, -2, -2, -2, -1, 1, -2, 2, -1] gloried	2.4	1.0198	[2, 3, 3, 4, 4, 1, 1, 2, 2, 2] glories	2.1	1.3	[4, 1, 4, 1, 1, 4, 2, 2, 1, 1] glorification	2.0	0.89443	[3, 1, 3, 2, 3, 1, 1, 3, 2, 1] glorified	2.3	0.9	[1, 4, 2, 2, 4, 2, 2, 2, 2, 2] glorifier	2.3	1.00499	[1, 4, 1, 2, 4, 2, 3, 2, 2, 2] glorifiers	1.6	1.0198	[2, 1, 2, -1, 2, 2, 2, 1, 2, 3] glorifies	2.2	0.9798	[1, 4, 2, 2, 4, 2, 1, 2, 2, 2] glorify	2.7	0.78102	[3, 3, 4, 3, 1, 3, 2, 3, 2, 3] glorifying	2.4	1.28062	[3, 4, 2, 2, 4, 4, 0, 1, 2, 2] gloriole	1.5	1.36015	[2, 4, 1, 2, 0, -1, 1, 3, 2, 1] glorioles	1.2	0.87178	[0, 2, 0, 2, 0, 1, 2, 2, 1, 2] glorious	3.2	0.6	[4, 3, 3, 2, 3, 3, 3, 4, 3, 4] gloriously	2.9	0.83066	[3, 4, 3, 2, 4, 2, 2, 2, 4, 3] gloriousness	2.6	1.0198	[3, 2, 3, 4, 3, 2, 1, 4, 3, 1] glory	2.5	0.80623	[1, 3, 3, 1, 3, 3, 3, 2, 3, 3] glum	-2.1	0.7	[-2, -1, -3, -3, -1, -2, -2, -3, -2, -2] gn8	0.6	0.66332	[1, 1, 0, 0, 0, 0, 2, 1, 0, 1] god	1.1	1.51327	[0, 0, 0, 1, 0, 3, 0, 3, 0, 4] goddam	-2.5	1.28452	[0, -3, -3, -4, -3, -1, -4, -1, -3, -3] goddammed	-2.4	0.91652	[-2, -3, -1, -1, -2, -2, -4, -3, -3, -3] goddamn	-2.1	1.75784	[-3, -3, -2, -4, -4, -3, -3, -1, 1, 1] goddamned	-1.8	2.03961	[-3, -3, -3, -4, -1, 2, -2, -3, 2, -3] goddamns	-2.1	1.51327	[-3, -2, -4, 2, -2, -3, -3, -2, -2, -2] goddams	-1.9	1.92094	[-3, -3, -2, -4, -4, -2, -3, -1, 2, 1] godsend	2.8	0.87178	[2, 3, 3, 2, 4, 3, 3, 1, 4, 3] good	1.9	0.9434	[2, 1, 1, 3, 2, 4, 2, 2, 1, 1] goodness	2.0	1.54919	[2, 2, 2, 3, 1, 2, -2, 4, 3, 3] gorgeous	3.0	0.63246	[3, 3, 2, 3, 3, 3, 4, 4, 3, 2] gorgeously	2.3	0.78102	[2, 2, 2, 3, 1, 2, 4, 3, 2, 2] gorgeousness	2.9	0.9434	[3, 4, 3, 1, 4, 4, 2, 2, 3, 3] gorgeousnesses	2.1	0.7	[3, 2, 1, 3, 2, 2, 1, 2, 3, 2] gossip	-0.7	0.45826	[-1, -1, -1, 0, 0, -1, -1, 0, -1, -1] gossiped	-1.1	0.53852	[-1, -1, -1, -1, -1, -1, 0, -1, -2, -2] gossiper	-1.1	0.7	[-1, -1, -1, 0, -2, -1, -1, -2, 0, -2] gossipers	-1.1	0.53852	[-1, 0, -1, -1, -1, -1, -1, -1, -2, -2] gossiping	-1.6	0.4899	[-1, -2, -1, -2, -1, -2, -2, -1, -2, -2] gossipmonger	-1.0	1.41421	[-1, -2, 1, -3, -2, 1, -1, -2, -2, 1] gossipmongers	-1.4	0.66332	[-2, -1, -1, -1, -2, -2, -1, 0, -2, -2] gossipped	-1.3	0.9	[-2, -2, -1, -2, -1, -1, -2, -1, 1, -2] gossipping	-1.8	0.6	[-2, -1, -2, -2, -1, -2, -2, -1, -3, -2] gossipries	-0.8	0.6	[-1, -1, -1, 0, -1, 0, -1, 0, -2, -1] gossipry	-1.2	1.16619	[1, 0, -1, -2, -1, -1, -1, -3, -3, -1] gossips	-1.3	0.64031	[-1, -2, -1, -1, -2, -1, 0, -1, -2, -2] gossipy	-1.3	0.78102	[-1, -2, -2, -1, -2, -1, 0, 0, -2, -2] grace	1.8	0.4	[2, 1, 2, 2, 1, 2, 2, 2, 2, 2] graced	0.9	1.04403	[1, 1, 2, -2, 1, 1, 1, 2, 1, 1] graceful	2.0	0.63246	[2, 1, 2, 2, 2, 3, 3, 2, 2, 1] gracefuller	2.2	0.74833	[2, 3, 2, 2, 1, 2, 3, 1, 3, 3] gracefullest	2.8	0.74833	[3, 3, 3, 3, 1, 3, 3, 3, 4, 2] gracefully	2.4	0.66332	[3, 3, 2, 1, 3, 2, 2, 2, 3, 3] gracefulness	2.2	0.6	[3, 2, 1, 2, 2, 2, 3, 2, 2, 3] graces	1.6	0.4899	[2, 2, 2, 1, 1, 2, 1, 2, 1, 2] gracile	1.7	0.78102	[1, 3, 2, 1, 2, 3, 2, 1, 1, 1] graciles	0.6	0.8	[0, 0, 0, 0, 0, 0, 2, 1, 2, 1] gracilis	0.4	0.66332	[0, 0, 0, 0, 0, 1, 0, 1, 0, 2] gracility	1.2	0.87178	[1, 1, 0, 1, 1, 3, 2, 2, 0, 1] gracing	1.3	0.9	[1, 0, 3, 2, 1, 2, 0, 1, 2, 1] gracioso	1.0	0.63246	[2, 2, 1, 1, 1, 1, 0, 1, 0, 1] gracious	2.6	0.8	[2, 2, 3, 3, 3, 3, 2, 4, 1, 3] graciously	2.3	0.9	[2, 4, 1, 3, 3, 2, 1, 2, 3, 2] graciousness	2.4	0.66332	[2, 2, 2, 2, 2, 3, 4, 3, 2, 2] grand	2.0	0.63246	[2, 2, 3, 1, 2, 2, 2, 2, 3, 1] grandee	1.1	0.83066	[0, 1, 1, 0, 1, 1, 2, 1, 3, 1] grandees	1.2	0.87178	[0, 2, 2, 1, 0, 1, 0, 2, 2, 2] grander	1.7	0.9	[3, 1, 1, 2, 2, 2, 0, 2, 3, 1] grandest	2.4	1.2	[3, 3, 1, 2, 2, 0, 4, 2, 4, 3] grandeur	2.4	1.11355	[3, 2, 3, 2, 4, 1, 1, 4, 1, 3] grandeurs	2.1	1.3	[2, 2, 1, 0, 0, 4, 3, 3, 3, 3] grant	1.5	0.80623	[2, 2, 1, 0, 3, 1, 1, 1, 2, 2] granted	1.0	1.09545	[3, 0, 0, 0, 0, 1, 2, 2, 2, 0] granting	1.3	0.45826	[2, 1, 1, 2, 1, 2, 1, 1, 1, 1] grants	0.9	0.7	[2, 1, 2, 1, 0, 1, 0, 0, 1, 1] grateful	2.0	0.63246	[2, 3, 1, 2, 2, 2, 3, 1, 2, 2] gratefuller	1.8	0.87178	[2, 3, 0, 3, 2, 1, 1, 2, 2, 2] gratefully	2.1	0.53852	[2, 3, 2, 2, 2, 2, 2, 3, 1, 2] gratefulness	2.2	0.6	[2, 3, 2, 1, 2, 2, 3, 2, 3, 2] graticule	0.1	0.3	[0, 0, 0, 1, 0, 0, 0, 0, 0, 0] graticules	0.2	0.6	[0, 0, 0, 0, 2, 0, 0, 0, 0, 0] gratification	1.6	0.8	[1, 2, 3, 2, 2, 1, 2, 0, 2, 1] gratifications	1.8	0.4	[2, 2, 1, 2, 2, 1, 2, 2, 2, 2] gratified	1.6	0.91652	[3, 1, 1, 1, 3, 1, 1, 1, 1, 3] gratifies	1.5	0.80623	[3, 1, 1, 1, 2, 1, 1, 1, 1, 3] gratify	1.3	1.00499	[2, -1, 1, 3, 1, 1, 1, 1, 2, 2] gratifying	2.3	0.45826	[2, 3, 2, 2, 2, 2, 3, 2, 2, 3] gratifyingly	2.0	0.63246	[2, 2, 2, 1, 3, 2, 1, 3, 2, 2] gratin	0.4	0.91652	[0, 1, 0, 0, 0, 0, 2, 0, -1, 2] grating	-0.4	0.4899	[-1, -1, -1, 0, 0, -1, 0, 0, 0, 0] gratingly	-0.2	1.6	[1, -3, -2, -2, 0, 2, 1, -1, 1, 1] gratings	-0.8	0.9798	[0, -2, -1, -1, 0, 0, -3, 0, 0, -1] gratins	0.2	0.6	[0, 0, 0, 0, 0, 0, 0, 0, 2, 0] gratis	0.2	0.9798	[-2, 1, 1, 0, 0, 0, -1, 1, 1, 1] gratitude	2.3	0.64031	[2, 2, 3, 1, 2, 3, 2, 3, 3, 2] gratz	2.0	0.89443	[2, 3, 2, 1, 1, 1, 2, 2, 4, 2] grave	-1.6	1.62481	[-2, -2, 0, -2, -3, 2, -3, -1, -1, -4] graved	-0.9	1.13578	[0, 0, -1, 0, -1, -1, -1, -1, -4, 0] gravel	-0.5	0.5	[0, -1, 0, -1, -1, -1, -1, 0, 0, 0] graveled	-0.5	0.80623	[0, 0, 0, 0, -1, -2, 0, 0, -2, 0] graveless	-1.3	1.34536	[-2, -2, 0, -1, 0, -2, -4, 1, -1, -2] graveling	-0.4	1.28062	[-3, 0, -2, 0, 2, -1, 0, 0, 0, 0] gravelled	-0.9	0.53852	[0, -1, -1, -2, 0, -1, -1, -1, -1, -1] gravelling	-0.4	1.11355	[0, -1, -2, -2, 0, -1, 0, 0, 2, 0] gravelly	-0.9	0.7	[0, -2, -1, -1, 0, -1, -1, 0, -1, -2] gravels	-0.5	0.80623	[0, -1, 0, 0, 0, -2, 0, 0, 0, -2] gravely	-1.5	1.0247	[0, -3, -1, 0, -3, -2, -1, -1, -2, -2] graven	-0.9	1.22066	[0, 0, -1, 0, -2, -1, -1, 0, -4, 0] graveness	-1.5	0.67082	[-1, -2, -2, -3, -2, -1, -1, -1, -1, -1] graver	-1.1	1.22066	[0, -2, -1, 0, 0, -2, -1, 0, -4, -1] gravers	-1.2	1.6	[-4, 0, -2, 0, -2, -2, -2, 0, 2, -2] graves	-1.2	1.07703	[0, 0, -1, -1, -2, -1, -1, -1, -4, -1] graveside	-0.8	0.6	[-1, -1, -1, 0, 0, 0, -1, -2, -1, -1] gravesides	-1.6	1.2	[-2, -1, 0, -3, -1, 0, -1, -2, -2, -4] gravest	-1.3	1.9	[-3, -1, -2, -2, 1, 1, -2, 2, -3, -4] gravestone	-0.7	0.78102	[0, -1, 0, -1, -1, -2, 0, 0, -2, 0] gravestones	-0.5	0.5	[-1, -1, 0, -1, -1, -1, 0, 0, 0, 0] graveyard	-1.2	0.87178	[0, 0, -1, -2, -1, -1, -2, -1, -3, -1] graveyards	-1.2	0.87178	[0, -1, -3, -1, -1, -2, 0, -1, -2, -1] great	3.1	0.7	[2, 4, 4, 4, 3, 3, 3, 3, 2, 3] greater	1.5	0.67082	[2, 1, 2, 1, 2, 2, 2, 1, 0, 2] greatest	3.2	0.74833	[3, 4, 3, 3, 3, 4, 4, 2, 2, 4] greed	-1.7	1.61555	[-2, -1, -2, -1, -2, -4, -1, 2, -4, -2] greedier	-2.0	0.63246	[-2, -2, -2, -2, -2, -3, -2, -1, -1, -3] greediest	-2.8	0.87178	[-3, -4, -3, -2, -2, -4, -4, -2, -2, -2] greedily	-1.9	1.22066	[-2, -1, -3, -3, -3, -2, -1, -2, 1, -3] greediness	-1.7	1.00499	[-2, -1, -2, -1, -2, -4, -1, 0, -2, -2] greeds	-1.0	1.18322	[-1, -2, -2, -2, -2, -2, 1, 0, -1, 1] greedy	-1.3	1.48661	[-2, -2, -2, -2, -3, -2, 2, -1, -2, 1] greenwash	-1.8	1.4	[-1, 0, -2, -2, -3, -4, 0, 0, -3, -3] greenwashing	-0.4	0.91652	[-1, 0, 0, 1, 1, -2, -1, -1, 0, -1] greet	1.3	0.64031	[1, 1, 1, 1, 0, 2, 2, 2, 2, 1] greeted	1.1	0.9434	[2, 0, 0, 1, 1, 1, 0, 2, 1, 3] greeting	1.6	0.4899	[2, 1, 2, 2, 1, 2, 2, 1, 1, 2] greetings	1.8	1.07703	[1, 2, 3, 3, 1, 1, 1, 4, 1, 1] greets	0.6	0.66332	[0, 0, 2, 0, 1, 1, 0, 1, 1, 0] grey	0.2	0.4	[0, 0, 1, 0, 0, 0, 1, 0, 0, 0] grief	-2.2	0.6	[-2, -1, -3, -2, -3, -3, -2, -2, -2, -2] grievance	-2.1	0.53852	[-2, -2, -3, -2, -2, -3, -2, -1, -2, -2] grievances	-1.5	0.5	[-2, -2, -1, -1, -2, -1, -1, -2, -2, -1] grievant	-0.8	1.249	[-2, 1, -1, -2, -1, 2, -2, -1, -1, -1] grievants	-1.1	0.83066	[-1, -1, -1, -1, -1, -1, 0, -2, 0, -3] grieve	-1.6	1.49666	[-2, -3, -1, -3, 1, -3, -1, -2, 1, -3] grieved	-2.0	0.89443	[-3, -3, -3, -2, -2, -3, -1, -1, -1, -1] griever	-1.9	0.83066	[-2, -2, -3, -2, -3, -3, -1, -1, -1, -1] grievers	-0.3	1.55242	[-1, 2, -2, -1, 1, -2, 2, -2, 1, -1] grieves	-2.1	0.9434	[-3, -3, -3, -2, -3, -3, -1, -1, -1, -1] grieving	-2.3	1.1	[-2, -4, -2, -3, -3, 0, -3, -2, -1, -3] grievous	-2.0	1.84391	[-3, -4, -2, -3, -1, 3, -2, -3, -2, -3] grievously	-1.7	1.55242	[-3, -1, -4, -2, -2, 1, -3, 1, -2, -2] grievousness	-2.7	0.78102	[-3, -3, -3, -2, -3, -4, -2, -1, -3, -3] grim	-2.7	0.64031	[-2, -4, -3, -3, -2, -2, -3, -3, -2, -3] grimace	-1.0	2.14476	[-4, -3, -2, -2, 2, -1, -1, -3, 2, 2] grimaced	-2.0	0.63246	[-2, -3, -2, -2, -2, -2, -1, -3, -1, -2] grimaces	-1.8	0.74833	[-1, -2, -1, -2, -2, -1, -3, -3, -1, -2] grimacing	-1.4	1.56205	[-3, -2, -3, -3, -1, -1, 1, 0, 1, -3] grimalkin	-0.9	1.04403	[-1, -2, -1, 1, -2, -2, -1, -1, 1, -1] grimalkins	-0.9	0.9434	[0, 0, 0, -2, -1, -1, -1, 0, -3, -1] grime	-1.5	0.92195	[-1, -2, -1, -1, -1, -3, 0, -2, -1, -3] grimed	-1.2	0.74833	[-2, -2, 0, -2, -1, -1, -1, -2, -1, 0] grimes	-1.0	0.7746	[-2, -2, 0, 0, -1, -1, -1, -2, -1, 0] grimier	-1.6	1.0198	[-1, -2, -2, -2, -1, 0, -4, -1, -1, -2] grimiest	-0.7	2.05183	[-2, -3, 1, -3, 2, -2, -2, -2, 2, 2] grimily	-0.7	1.61555	[-2, -1, -1, -2, -2, 2, -2, 2, 1, -2] griminess	-1.6	0.4899	[-1, -2, -2, -2, -1, -2, -2, -1, -1, -2] griming	-0.7	1.55242	[-3, -1, -1, -2, 0, 2, -1, -2, -1, 2] grimly	-1.3	1.55242	[-2, -1, 2, -2, -2, -1, -3, -3, 1, -2] grimmer	-1.5	1.36015	[1, -2, -3, 1, -2, -1, -2, -2, -3, -2] grimmest	-0.8	1.72047	[-2, -1, -3, 0, -2, -1, 0, 2, 2, -3] grimness	-0.8	1.98997	[2, -2, -3, -2, -3, 2, -1, 1, 1, -3] grimy	-1.8	0.87178	[-2, -2, -2, -1, -1, -3, 0, -2, -2, -3] grin	2.1	0.83066	[2, 4, 2, 2, 2, 1, 2, 3, 1, 2] grinned	1.1	0.9434	[1, 1, 2, 1, 3, 1, -1, 1, 1, 1] grinner	1.1	0.83066	[1, 1, 2, 2, 2, 1, -1, 1, 1, 1] grinners	1.6	0.8	[2, 2, 2, 3, 1, 0, 2, 2, 1, 1] grinning	1.5	1.0247	[3, 2, 2, 1, 1, -1, 1, 2, 2, 2] grins	0.9	1.92094	[1, 4, -3, 1, 2, 1, 2, -2, 2, 1] gross	-2.1	1.51327	[-1, -3, -2, -3, -3, -3, -3, 2, -2, -3] grossed	-0.4	1.11355	[-1, -2, -1, -2, 0, 0, 1, 1, 1, -1] grosser	-0.3	1.41774	[1, -2, -1, -2, 0, -1, 1, 2, 1, -2] grosses	-0.8	1.77764	[-2, -2, 3, -2, -3, -1, 1, -1, 1, -2] grossest	-2.1	0.83066	[-2, -1, -2, -3, -3, -1, -3, -3, -1, -2] grossing	-0.3	1.79165	[-1, -3, -1, 1, 0, -1, -3, 1, 1, 3] grossly	-0.9	1.44568	[1, -2, 0, -3, -1, -2, 1, 1, -2, -2] grossness	-1.8	0.6	[-2, -2, -1, -1, -1, -3, -2, -2, -2, -2] grossular	-0.3	1.34536	[0, -2, 0, -1, -2, -1, 0, 0, 0, 3] grossularite	-0.1	1.13578	[2, 0, 0, 0, 0, -3, 0, 0, 0, 0] grossularites	-0.7	1.26886	[0, -4, -1, -2, 0, 0, 0, 0, 0, 0] grossulars	-0.3	0.45826	[0, 0, 0, 0, -1, -1, 0, 0, 0, -1] grouch	-2.2	0.87178	[-2, -3, -3, -3, -2, -1, -3, -1, -1, -3] grouched	-0.8	0.9798	[-2, -1, -2, -2, 1, -1, 0, 0, 0, -1] grouches	-0.9	1.13578	[-2, -1, -2, -1, -1, -1, -1, 2, 0, -2] grouchier	-2.0	0.63246	[-2, -3, -3, -2, -2, -2, -2, -1, -2, -1] grouchiest	-2.3	0.78102	[-3, -3, -2, -2, -1, -3, -1, -3, -3, -2] grouchily	-1.4	1.56205	[-2, -1, -2, -3, -3, 2, -2, -2, 1, -2] grouchiness	-2.0	0.7746	[-2, -2, -3, -2, -3, -2, -2, 0, -2, -2] grouching	-1.7	1.1	[-1, -3, -2, 1, -2, -3, -2, -1, -2, -2] grouchy	-1.9	0.7	[-1, -3, -2, -2, -1, -3, -1, -2, -2, -2] growing	0.7	0.64031	[0, 1, 1, 2, 1, 0, 0, 1, 1, 0] growth	1.6	1.0198	[2, 0, 3, 0, 2, 3, 1, 1, 2, 2] guarantee	1.0	1.0	[2, 3, 1, 0, 2, 0, 1, 0, 0, 1] guilt	-1.1	1.22066	[-1, -3, 2, -1, -1, -2, -1, -2, -1, -1] guiltier	-2.0	0.63246	[-2, -1, -3, -1, -3, -2, -2, -2, -2, -2] guiltiest	-1.7	1.79165	[-3, -2, -2, -4, -1, -2, 3, -1, -3, -2] guiltily	-1.1	1.57797	[-3, -1, -1, -2, 0, -2, 3, -2, -1, -2] guiltiness	-1.8	0.6	[-2, -2, -1, -2, -1, -1, -2, -2, -3, -2] guiltless	0.8	1.53623	[3, 2, 1, 2, -2, 1, 1, -2, 1, 1] guiltlessly	0.7	1.18743	[-1, 1, -2, 2, 1, 1, 1, 1, 2, 1] guiltlessness	0.6	1.42829	[1, 1, -1, -1, -1, 1, 2, 3, -1, 2] guilts	-1.4	0.66332	[-1, -2, -1, -1, -3, -1, -1, -2, -1, -1] guilty	-1.8	0.6	[-1, -2, -2, -3, -2, -2, -1, -2, -2, -1] gullibility	-1.6	0.66332	[-1, -1, -2, -2, -1, -2, -1, -2, -1, -3] gullible	-1.5	0.67082	[-1, -2, -2, -1, -1, -3, -2, -1, -1, -1] gun	-1.4	1.49666	[0, -4, 0, -3, 0, -3, -2, 0, -2, 0] h8	-2.7	1.00499	[-4, -3, -4, -1, -1, -3, -3, -3, -2, -3] ha	1.4	0.8	[1, 0, 1, 1, 3, 2, 2, 1, 2, 1] hacked	-1.7	1.00499	[-2, -1, -2, -4, 0, -2, -2, -1, -1, -2] haha	2.0	0.89443	[1, 1, 2, 3, 2, 1, 4, 2, 2, 2] hahaha	2.6	1.0198	[2, 4, 2, 4, 1, 2, 3, 4, 2, 2] hahas	1.8	0.9798	[1, 2, 2, 4, 3, 2, 1, 1, 1, 1] hail	0.3	0.9	[0, 0, 0, 2, 0, 0, 2, 0, -1, 0] hailed	0.9	0.83066	[1, 2, 1, 1, 0, 0, 0, 2, 2, 0] hallelujah	3.0	0.7746	[3, 4, 3, 1, 3, 3, 3, 3, 3, 4] handsome	2.2	0.74833	[2, 2, 2, 2, 2, 3, 4, 1, 2, 2] handsomely	1.9	0.7	[1, 3, 1, 1, 2, 2, 2, 2, 2, 3] handsomeness	2.4	1.28062	[2, 4, 1, 4, 0, 2, 4, 3, 2, 2] handsomer	2.0	0.63246	[2, 3, 2, 2, 2, 2, 1, 3, 1, 2] handsomest	2.6	0.91652	[3, 2, 1, 2, 3, 4, 4, 3, 2, 2] hapless	-1.4	1.11355	[-3, -1, -1, -1, -2, -1, 1, -2, -3, -1] haplessness	-1.4	1.0198	[-1, -2, 0, -1, -1, -1, -1, -2, -1, -4] happier	2.4	0.66332	[3, 1, 2, 3, 2, 2, 3, 3, 3, 2] happiest	3.2	0.74833	[4, 3, 2, 4, 4, 3, 3, 3, 2, 4] happily	2.6	0.91652	[4, 1, 2, 4, 2, 3, 2, 2, 3, 3] happiness	2.6	0.4899	[2, 3, 3, 3, 3, 2, 2, 3, 2, 3] happing	1.1	0.83066	[1, 1, 1, 0, 2, 2, 0, 2, 0, 2] happy	2.7	0.9	[2, 2, 2, 4, 2, 4, 3, 4, 2, 2] harass	-2.2	0.6	[-2, -3, -2, -2, -2, -3, -2, -3, -1, -2] harassed	-2.5	0.80623	[-4, -2, -3, -3, -2, -2, -3, -2, -3, -1] harasser	-2.4	0.8	[-3, -2, -2, -3, -2, -2, -4, -2, -3, -1] harassers	-2.8	0.6	[-3, -3, -2, -2, -3, -3, -3, -4, -2, -3] harasses	-2.5	0.80623	[-3, -3, -2, -3, -2, -2, -4, -2, -3, -1] harassing	-2.5	1.62788	[-2, -4, -3, -4, -3, -3, 2, -2, -3, -3] harassment	-2.5	0.67082	[-2, -3, -2, -2, -3, -2, -4, -3, -2, -2] harassments	-2.6	0.4899	[-3, -3, -2, -3, -2, -3, -3, -2, -2, -3] hard	-0.4	1.2	[0, -1, 0, -1, 0, 1, -2, -1, -2, 2] hardier	-0.6	1.68523	[-3, -2, -2, 1, 1, 2, 1, 0, -2, -2] hardship	-1.3	1.84662	[-2, 2, -4, -1, -2, -3, -1, -2, 2, -2] hardy	1.7	1.00499	[1, 2, 1, 0, 2, 2, 4, 1, 2, 2] harm	-2.5	0.80623	[-2, -2, -2, -3, -2, -1, -3, -3, -3, -4] harmed	-2.1	0.83066	[-1, -4, -2, -2, -2, -2, -1, -2, -3, -2] harmfully	-2.6	0.91652	[-3, -4, -3, -1, -3, -3, -3, -3, -1, -2] harmfulness	-2.6	0.8	[-3, -1, -3, -3, -3, -2, -4, -2, -2, -3] harming	-2.6	0.66332	[-3, -3, -2, -2, -3, -3, -2, -2, -2, -4] harmless	1.0	0.7746	[2, 1, 1, 1, 1, 0, 0, 2, 0, 2] harmlessly	1.4	1.2	[4, 0, 1, 0, 1, 1, 1, 2, 3, 1] harmlessness	0.8	1.16619	[1, 2, 0, 1, 0, 1, 2, 1, 2, -2] harmonic	1.8	0.87178	[2, 1, 2, 3, 0, 1, 3, 2, 2, 2] harmonica	0.6	0.8	[0, 1, 0, 0, 0, 2, 1, 0, 2, 0] harmonically	2.1	1.13578	[3, 3, 4, 1, 0, 1, 2, 2, 2, 3] harmonicas	0.1	0.3	[0, 0, 0, 0, 0, 0, 1, 0, 0, 0] harmonicist	0.5	0.92195	[0, 0, 0, 0, 1, 0, 0, 0, 1, 3] harmonicists	0.9	1.3	[2, 1, 0, 0, 2, 0, 0, 0, 4, 0] harmonics	1.5	1.0247	[2, 2, 2, 0, 0, 2, 3, 2, 0, 2] harmonies	1.3	0.9	[2, 0, 2, 1, 2, 2, 0, 2, 0, 2] harmonious	2.0	1.09545	[3, 4, 2, 2, 2, 0, 2, 3, 1, 1] harmoniously	1.9	0.9434	[4, 2, 2, 1, 2, 1, 1, 3, 2, 1] harmoniousness	1.8	0.6	[1, 2, 2, 2, 2, 1, 2, 3, 2, 1] harmonise	1.8	0.74833	[1, 1, 2, 3, 2, 1, 1, 3, 2, 2] harmonised	1.3	0.9	[2, 3, 2, 0, 2, 1, 1, 1, 1, 0] harmonising	1.4	0.66332	[1, 2, 1, 1, 2, 1, 1, 1, 1, 3] harmonium	0.9	1.22066	[0, 3, 0, 2, 3, 0, 0, 0, 0, 1] harmoniums	0.8	0.9798	[0, 0, 0, 2, 0, 2, 0, 2, 2, 0] harmonization	1.9	0.83066	[3, 1, 2, 2, 2, 2, 3, 0, 2, 2] harmonizations	0.9	0.9434	[0, 0, 2, 0, 2, 2, 0, 2, 1, 0] harmonize	1.7	0.78102	[3, 2, 2, 1, 2, 2, 0, 1, 2, 2] harmonized	1.6	0.91652	[1, 2, 1, 1, 2, 2, 3, 3, 0, 1] harmonizer	1.6	0.8	[1, 2, 1, 1, 2, 2, 2, 3, 0, 2] harmonizers	1.6	1.11355	[2, 2, 2, 1, 2, 0, 4, 0, 2, 1] harmonizes	1.5	0.92195	[0, 2, 2, 2, 0, 1, 1, 2, 3, 2] harmonizing	1.4	0.66332	[0, 1, 1, 2, 2, 1, 2, 2, 1, 2] harmony	1.7	0.45826	[2, 2, 2, 2, 1, 2, 2, 2, 1, 1] harms	-2.2	1.6	[2, -3, -2, -2, -3, -2, -4, -4, -2, -2] harried	-1.4	0.4899	[-1, -1, -2, -1, -2, -2, -1, -1, -1, -2] harsh	-1.9	0.7	[-1, -1, -2, -2, -1, -3, -3, -2, -2, -2] harsher	-2.2	0.6	[-2, -3, -2, -3, -2, -2, -1, -3, -2, -2] harshest	-2.9	0.83066	[-4, -2, -2, -2, -2, -3, -3, -4, -4, -3] hate	-2.7	1.00499	[-4, -3, -4, -4, -2, -2, -2, -2, -1, -3] hated	-3.2	0.6	[-3, -3, -4, -3, -2, -3, -3, -4, -4, -3] hateful	-2.2	1.249	[-3, 1, -3, -3, -1, -2, -2, -3, -3, -3] hatefully	-2.3	0.78102	[-1, -3, -3, -3, -1, -2, -2, -2, -3, -3] hatefulness	-3.6	0.4899	[-4, -4, -3, -3, -3, -4, -4, -4, -4, -3] hater	-1.8	0.6	[-2, -1, -2, -2, -2, -1, -1, -2, -2, -3] haters	-2.2	0.6	[-2, -1, -3, -2, -3, -2, -3, -2, -2, -2] hates	-1.9	0.7	[-2, -1, -2, -2, -3, -1, -1, -2, -2, -3] hating	-2.3	1.1	[-4, -3, -4, -1, -2, -2, -1, -2, -1, -3] hatred	-3.2	0.9798	[-1, -3, -2, -4, -3, -3, -4, -4, -4, -4] haunt	-1.7	1.00499	[-1, -1, -3, -1, -2, -2, -1, -4, -1, -1] haunted	-2.1	0.7	[-2, -2, -1, -3, -3, -2, -2, -3, -1, -2] haunting	-1.1	0.83066	[-3, 0, -2, -1, 0, -1, -1, -1, -1, -1] haunts	-1.0	1.41421	[0, -2, -2, -2, -2, -1, 2, -2, 1, -2] havoc	-2.9	0.7	[-2, -4, -4, -3, -2, -3, -3, -3, -2, -3] healthy	1.7	0.9	[1, 3, 1, 1, 3, 3, 1, 2, 1, 1] heartbreak	-2.7	0.78102	[-1, -3, -3, -3, -2, -4, -2, -3, -3, -3] heartbreaker	-2.2	1.07703	[-2, -3, 0, -3, -2, -1, -4, -3, -2, -2] heartbreakers	-2.1	0.9434	[-3, -2, -3, -2, -1, -1, -4, -1, -2, -2] heartbreaking	-2.0	1.73205	[-3, -1, -3, -3, -4, 2, -3, -2, 0, -3] heartbreakingly	-1.8	2.08806	[-3, 3, 1, -3, -3, -2, -3, -3, -4, -1] heartbreaks	-1.8	1.77764	[-2, 1, -3, -2, -3, -2, -3, 2, -4, -2] heartbroken	-3.3	0.45826	[-4, -3, -3, -4, -3, -3, -4, -3, -3, -3] heartfelt	2.5	0.5	[3, 3, 2, 3, 2, 2, 3, 2, 2, 3] heartless	-2.2	0.74833	[-2, -2, -2, -4, -2, -1, -2, -3, -2, -2] heartlessly	-2.8	0.6	[-3, -2, -3, -3, -2, -3, -4, -2, -3, -3] heartlessness	-2.8	0.87178	[-3, -3, -2, -3, -4, -4, -1, -3, -2, -3] heartwarming	2.1	1.22066	[3, 2, 3, 3, 2, 2, 3, 3, -1, 1] heaven	2.3	1.18743	[1, 1, 2, 4, 3, 3, 3, 4, 1, 1] heavenlier	3.0	0.63246	[3, 2, 3, 3, 4, 3, 3, 4, 2, 3] heavenliest	2.7	1.1	[3, 2, 3, 4, 2, 4, 3, 0, 3, 3] heavenliness	2.7	0.9	[3, 2, 1, 4, 3, 2, 3, 4, 3, 2] heavenlinesses	2.3	2.2383	[4, 4, 4, 3, -2, 3, 3, 4, -2, 2] heavenly	3.0	0.63246	[3, 3, 3, 3, 2, 3, 3, 4, 2, 4] heavens	1.7	1.18743	[4, 0, 1, 2, 0, 3, 2, 2, 2, 1] heavenward	1.4	1.35647	[0, 3, 0, 4, 1, 2, 2, 0, 2, 0] heavenwards	1.2	1.32665	[1, 4, 0, 0, 2, 1, 1, 0, 3, 0] heavyhearted	-2.1	0.83066	[-2, -3, -3, -2, -3, -1, -1, -1, -2, -3] heh	-0.6	1.28062	[0, 1, -1, 1, -1, -2, -1, -3, 1, -1] hell	-3.6	0.66332	[-4, -4, -4, -4, -4, -2, -3, -4, -3, -4] hellish	-3.2	0.74833	[-3, -3, -2, -2, -4, -3, -4, -4, -3, -4] help	1.7	0.78102	[3, 2, 1, 2, 1, 2, 3, 1, 1, 1] helper	1.4	0.8	[1, 1, 0, 1, 1, 2, 1, 2, 3, 2] helpers	1.1	0.83066	[1, 1, 0, 2, 1, 1, 1, 1, 3, 0] helpful	1.8	0.87178	[2, 1, 3, 1, 1, 3, 1, 2, 3, 1] helpfully	2.3	0.9	[1, 2, 2, 3, 2, 3, 3, 2, 4, 1] helpfulness	1.9	1.13578	[1, 4, 1, 2, 2, 1, 1, 2, 4, 1] helping	1.2	0.6	[2, 1, 1, 2, 0, 1, 1, 1, 2, 1] helpless	-2.0	0.63246	[-2, -3, -2, -2, -2, -3, -1, -2, -1, -2] helplessly	-1.4	0.4899	[-1, -1, -2, -2, -1, -1, -1, -2, -2, -1] helplessness	-2.1	0.9434	[-2, -4, -1, -2, -1, -3, -3, -2, -1, -2] helplessnesses	-1.7	0.64031	[-2, -1, -2, -1, -2, -1, -3, -2, -1, -2] helps	1.6	0.4899	[1, 1, 1, 2, 2, 2, 1, 2, 2, 2] hero	2.6	0.8	[2, 3, 2, 2, 4, 4, 2, 3, 2, 2] heroes	2.3	0.9	[3, 4, 3, 1, 3, 2, 1, 2, 2, 2] heroic	2.6	0.8	[3, 3, 1, 4, 2, 3, 2, 3, 2, 3] heroical	2.9	1.04403	[4, 4, 2, 4, 2, 3, 1, 4, 2, 3] heroically	2.4	0.8	[2, 2, 2, 3, 3, 3, 4, 1, 2, 2] heroicomic	1.0	1.0	[1, 0, 1, 0, 2, 0, 3, 1, 2, 0] heroicomical	1.1	0.83066	[2, 0, 0, 2, 1, 2, 1, 2, 1, 0] heroics	2.4	0.8	[2, 1, 2, 2, 2, 3, 3, 3, 4, 2] heroin	-2.2	1.83303	[0, -2, -4, 2, -4, -2, -2, -3, -3, -4] heroine	2.7	1.1	[0, 2, 4, 4, 3, 3, 3, 3, 2, 3] heroines	1.8	1.32665	[2, 1, 1, 4, 3, 1, 0, 3, 3, 0] heroinism	-2.0	2.0	[-3, -4, 2, -2, -4, -3, -2, -1, 1, -4] heroism	2.8	0.6	[3, 3, 4, 3, 2, 2, 3, 3, 2, 3] heroisms	2.2	0.87178	[3, 1, 2, 4, 3, 2, 2, 2, 1, 2] heroize	2.1	0.7	[3, 2, 3, 1, 2, 2, 2, 3, 1, 2] heroized	2.0	1.18322	[1, 0, 3, 3, 2, 0, 3, 3, 2, 3] heroizes	2.2	0.9798	[1, 3, 2, 3, 4, 3, 2, 1, 2, 1] heroizing	1.9	1.64012	[2, 3, -2, 2, 4, 3, 2, 2, 3, 0] heron	0.1	0.3	[0, 0, 0, 0, 0, 1, 0, 0, 0, 0] heronries	0.7	1.1	[2, 0, 0, 0, 2, 0, 3, 0, 0, 0] heronry	0.1	0.9434	[0, 0, 0, 0, 0, 2, 0, 1, -2, 0] herons	0.5	1.0247	[0, 0, 0, 3, 0, 2, 0, 0, 0, 0] heros	1.3	1.18743	[3, 0, 0, 2, 0, 2, 2, 3, 1, 0] hesitance	-0.9	0.3	[-1, -1, 0, -1, -1, -1, -1, -1, -1, -1] hesitancies	-1.0	0.63246	[-1, -1, -1, -2, -1, -1, -2, 0, 0, -1] hesitancy	-0.9	0.53852	[0, -1, 0, -2, -1, -1, -1, -1, -1, -1] hesitant	-1.0	0.7746	[0, -1, 0, -1, -2, 0, -1, -2, -1, -2] hesitantly	-1.2	0.4	[-1, -1, -2, -1, -1, -1, -1, -2, -1, -1] hesitate	-1.1	0.53852	[-2, -1, -1, -1, -2, -1, -1, 0, -1, -1] hesitated	-1.3	0.9	[-1, -2, -1, -2, -2, -2, -1, 1, -1, -2] hesitater	-1.4	0.66332	[-1, -1, -1, -1, -1, -2, -1, -3, -2, -1] hesitaters	-1.4	0.4899	[-1, -2, -1, -1, -1, -1, -2, -2, -2, -1] hesitates	-1.4	0.4899	[-1, -1, -1, -2, -1, -2, -1, -2, -2, -1] hesitating	-1.4	0.66332	[-1, -1, -2, -1, -1, -3, -2, -1, -1, -1] hesitatingly	-1.5	0.80623	[-1, -1, -1, -1, -3, -2, -3, -1, -1, -1] hesitation	-1.1	0.53852	[-2, 0, -1, -1, -1, -1, -1, -2, -1, -1] hesitations	-1.1	0.53852	[-1, -1, -1, 0, -2, -1, -1, -2, -1, -1] hid	-0.4	0.4899	[0, -1, 0, 0, -1, -1, -1, 0, 0, 0] hide	-0.7	0.64031	[0, -1, -1, -1, -1, 0, 0, -2, -1, 0] hides	-0.7	0.9	[-1, -2, -1, 0, -1, 0, 0, -2, 1, -1] hiding	-1.2	0.4	[-1, -1, -2, -1, -1, -1, -1, -1, -2, -1] highlight	1.4	0.91652	[3, 0, 1, 1, 2, 1, 0, 2, 2, 2] hilarious	1.7	1.41774	[2, 2, 2, 3, 3, 1, -2, 2, 3, 1] hindrance	-1.7	0.78102	[-2, -3, -2, -1, -1, -1, -3, -1, -2, -1] hoax	-1.1	1.04403	[-3, -1, -2, -1, 1, -2, -1, -1, -1, 0] holiday	1.7	1.18743	[1, 3, 2, 2, 0, 0, 1, 2, 4, 2] holidays	1.6	1.0198	[2, 0, 1, 2, 3, 0, 1, 2, 3, 2] homesick	-0.7	1.67631	[-2, -1, -1, -2, -1, -2, 2, -1, 3, -2] homesickness	-1.8	1.249	[-3, -2, -1, -1, -3, -2, -1, 1, -3, -3] homesicknesses	-1.8	0.6	[-1, -2, -2, -2, -1, -2, -1, -2, -3, -2] honest	2.3	0.9	[3, 2, 1, 2, 3, 1, 2, 3, 2, 4] honester	1.9	0.7	[2, 3, 2, 2, 1, 3, 1, 1, 2, 2] honestest	3.0	0.7746	[1, 3, 3, 3, 3, 3, 4, 4, 3, 3] honesties	1.8	1.07703	[4, 3, 1, 1, 1, 1, 3, 2, 1, 1] honestly	2.0	0.63246	[2, 3, 2, 2, 1, 2, 2, 1, 3, 2] honesty	2.2	0.6	[2, 3, 2, 2, 1, 2, 3, 2, 3, 2] honor	2.2	1.16619	[3, 2, 1, 2, 0, 4, 3, 1, 3, 3] honorability	2.2	0.4	[3, 3, 2, 2, 2, 2, 2, 2, 2, 2] honorable	2.5	0.67082	[2, 2, 3, 2, 4, 3, 2, 2, 2, 3] honorableness	2.2	0.87178	[2, 4, 1, 3, 3, 2, 1, 2, 2, 2] honorably	2.4	0.66332	[2, 2, 3, 2, 3, 3, 3, 1, 2, 3] honoraria	0.6	0.8	[1, 0, 1, 0, 0, 0, 2, 0, 2, 0] honoraries	1.5	1.5	[2, 2, 1, 3, 3, 1, -2, 2, 3, 0] honorarily	1.9	0.7	[2, 2, 3, 1, 2, 1, 2, 1, 3, 2] honorarium	0.7	1.48661	[3, 2, -1, 2, 1, -2, 1, 1, -1, 1] honorariums	1.0	1.0	[0, 0, 0, 0, 1, 2, 1, 3, 2, 1] honorary	1.4	0.91652	[2, 2, 2, 3, 1, 1, 0, 1, 2, 0] honored	2.8	0.87178	[3, 4, 4, 3, 1, 2, 2, 3, 3, 3] honoree	2.1	0.7	[3, 2, 3, 3, 1, 2, 1, 2, 2, 2] honorees	2.3	0.78102	[1, 3, 3, 4, 2, 2, 2, 2, 2, 2] honorer	1.7	0.78102	[2, 1, 3, 3, 1, 2, 1, 2, 1, 1] honorers	1.3	0.45826	[1, 1, 2, 2, 1, 1, 2, 1, 1, 1] honorific	1.4	1.2	[2, 2, 2, 2, 2, 1, 2, 1, 2, -2] honorifically	2.2	0.74833	[3, 4, 1, 2, 2, 2, 2, 2, 2, 2] honorifics	1.7	0.78102	[1, 2, 0, 1, 2, 2, 2, 3, 2, 2] honoring	2.3	0.64031	[3, 3, 1, 2, 2, 3, 3, 2, 2, 2] honors	2.3	0.64031	[3, 2, 2, 2, 1, 3, 3, 2, 3, 2] honour	2.7	0.78102	[2, 3, 2, 2, 2, 3, 4, 4, 3, 2] honourable	2.1	0.53852	[2, 3, 2, 2, 2, 1, 3, 2, 2, 2] honoured	2.2	1.249	[3, 3, 4, 3, -1, 2, 2, 2, 2, 2] honourer	1.8	0.87178	[2, 3, 2, 1, 2, 3, 1, 0, 2, 2] honourers	1.6	1.0198	[0, 2, 2, 1, 2, 2, 1, 3, 0, 3] honouring	2.1	0.3	[2, 2, 2, 3, 2, 2, 2, 2, 2, 2] honours	2.2	0.87178	[4, 3, 2, 2, 3, 2, 2, 1, 2, 1] hooligan	-1.5	0.5	[-1, -2, -1, -2, -2, -2, -1, -1, -2, -1] hooliganism	-2.1	0.83066	[-3, -2, -3, -3, -2, -2, -2, -2, 0, -2] hooligans	-1.1	1.22066	[-2, -1, -1, 2, -1, -1, -1, -3, -2, -1] hooray	2.3	0.9	[3, 2, 3, 2, 1, 3, 1, 2, 2, 4] hope	1.9	0.53852	[3, 2, 2, 1, 2, 2, 1, 2, 2, 2] hoped	1.6	0.4899	[1, 2, 1, 1, 2, 2, 1, 2, 2, 2] hopeful	2.3	0.78102	[2, 1, 1, 3, 3, 3, 2, 3, 2, 3] hopefully	1.7	0.78102	[1, 3, 1, 3, 1, 2, 1, 1, 2, 2] hopefulness	1.6	1.35647	[2, 1, -2, 2, 3, 2, 1, 3, 2, 2] hopeless	-2.0	1.78885	[-3, -3, -3, -3, 3, -1, -3, -3, -2, -2] hopelessly	-2.2	0.74833	[-3, -4, -2, -2, -1, -2, -2, -2, -2, -2] hopelessness	-3.1	0.7	[-3, -4, -4, -3, -3, -3, -4, -3, -2, -2] hopes	1.8	0.6	[1, 3, 1, 2, 2, 2, 1, 2, 2, 2] hoping	1.8	0.4	[2, 2, 2, 1, 2, 2, 2, 2, 2, 1] horrendous	-2.8	0.87178	[-3, -3, -4, -4, -3, -3, -2, -2, -1, -3] horrendously	-1.9	1.92094	[-3, -2, -4, -4, 2, -1, -3, -2, 1, -3] horrent	-0.9	1.04403	[0, -1, -2, 0, 0, -3, -1, 0, -2, 0] horrible	-2.5	0.67082	[-2, -2, -3, -2, -2, -4, -3, -3, -2, -2] horribleness	-2.4	0.4899	[-3, -3, -2, -2, -3, -2, -2, -3, -2, -2] horribles	-2.1	0.7	[-2, -4, -2, -2, -1, -2, -2, -2, -2, -2] horribly	-2.4	0.66332	[-2, -2, -2, -2, -2, -4, -3, -3, -2, -2] horrid	-2.5	1.0247	[-2, -3, -3, -4, -4, -1, -2, -2, -3, -1] horridly	-1.4	1.49666	[-2, 0, -3, -2, 0, -3, 2, -2, -2, -2] horridness	-2.3	1.26886	[-3, -3, -2, 1, -3, -3, -3, -3, -1, -3] horridnesses	-3.0	1.09545	[-2, -3, -4, -4, -4, -4, -2, -2, -1, -4] horrific	-3.4	0.91652	[-2, -4, -4, -4, -2, -4, -2, -4, -4, -4] horrifically	-2.9	0.7	[-2, -3, -2, -4, -2, -4, -3, -3, -3, -3] horrified	-2.5	0.92195	[-2, -3, -2, -2, -1, -4, -2, -2, -3, -4] horrifies	-2.9	1.22066	[-1, -3, -2, -1, -4, -4, -4, -4, -2, -4] horrify	-2.5	0.67082	[-2, -2, -3, -2, -2, -2, -4, -2, -3, -3] horrifying	-2.7	0.9	[-3, -4, -3, -2, -3, -3, -4, -2, -2, -1] horrifyingly	-3.3	0.9	[-3, -3, -4, -4, -1, -4, -3, -3, -4, -4] horror	-2.7	1.1	[-3, -1, -4, -4, -4, -3, -1, -2, -3, -2] horrors	-2.7	0.64031	[-3, -3, -4, -3, -2, -2, -2, -3, -2, -3] hostile	-1.6	1.74356	[-4, -3, -3, -1, 1, -2, 2, -2, -2, -2] hostilely	-2.2	0.6	[-1, -3, -3, -2, -2, -2, -2, -2, -2, -3] hostiles	-1.3	1.9	[-3, -3, -3, -3, -1, 2, -3, -1, 1, 1] hostilities	-2.1	0.53852	[-2, -3, -2, -2, -2, -2, -1, -2, -3, -2] hostility	-2.5	0.80623	[-2, -2, -3, -3, -3, -2, -4, -2, -3, -1] huckster	-0.9	0.7	[-1, 0, -1, 0, -1, -2, -2, 0, -1, -1] hug	2.1	1.04403	[1, 3, 2, 1, 1, 2, 3, 3, 1, 4] huge	1.3	0.9	[0, 2, 2, 0, 0, 2, 2, 2, 1, 2] huggable	1.6	0.66332	[2, 2, 1, 1, 1, 3, 1, 2, 2, 1] hugged	1.7	0.78102	[2, 2, 2, 2, 3, 1, 1, 2, 0, 2] hugger	1.6	0.91652	[3, 2, 2, 2, 3, 1, 1, 1, 0, 1] huggers	1.8	0.6	[1, 3, 1, 2, 1, 2, 2, 2, 2, 2] hugging	1.8	0.74833	[2, 1, 1, 3, 3, 2, 2, 1, 2, 1] hugs	2.2	0.74833	[3, 2, 1, 2, 2, 2, 3, 1, 3, 3] humerous	1.4	1.11355	[-1, 2, 2, 3, 1, 1, 2, 0, 2, 2] humiliate	-2.5	1.28452	[-3, -3, -3, -3, -2, -2, -4, -3, 1, -3] humiliated	-1.4	2.498	[3, -3, -4, -3, -3, -4, -3, 0, 1, 2] humiliates	-1.0	2.09762	[1, -2, -3, -3, -3, -2, -3, 1, 2, 2] humiliating	-1.2	1.8868	[-4, -1, -3, -1, 2, -1, 2, -3, -2, -1] humiliatingly	-2.6	0.4899	[-3, -3, -2, -2, -3, -3, -3, -3, -2, -2] humiliation	-2.7	0.78102	[-2, -3, -4, -2, -2, -2, -3, -2, -4, -3] humiliations	-2.4	0.66332	[-3, -2, -2, -2, -2, -2, -2, -3, -2, -4] humor	1.1	0.53852	[1, 0, 2, 2, 1, 1, 1, 1, 1, 1] humoral	0.6	1.0198	[2, 0, 0, 0, 0, 0, 3, 1, 0, 0] humored	1.2	0.87178	[1, 1, 2, 2, 1, 1, 2, 1, 2, -1] humoresque	1.2	0.6	[1, 1, 1, 2, 1, 2, 2, 1, 1, 0] humoresques	0.9	1.04403	[1, 0, 2, 0, 0, 1, 2, 0, 3, 0] humoring	2.1	0.7	[3, 2, 2, 2, 1, 2, 2, 1, 3, 3] humorist	1.2	0.74833	[1, 2, 1, 1, 2, 1, 2, 0, 0, 2] humoristic	1.5	0.80623	[3, 0, 2, 1, 2, 1, 2, 2, 1, 1] humorists	1.3	0.78102	[2, 1, 1, 1, 0, 1, 2, 3, 1, 1] humorless	-1.3	0.45826	[-1, -2, -1, -1, -1, -1, -2, -1, -1, -2] humorlessness	-1.4	1.11355	[1, -3, -3, -1, -1, -2, -1, -1, -2, -1] humorous	1.6	0.4899	[1, 2, 1, 2, 2, 1, 2, 2, 1, 2] humorously	2.3	0.78102	[3, 3, 2, 2, 1, 3, 3, 1, 2, 3] humorousness	2.4	0.66332	[1, 2, 3, 2, 3, 2, 3, 3, 2, 3] humors	1.6	0.4899	[2, 1, 2, 2, 2, 2, 1, 2, 1, 1] humour	2.1	0.9434	[1, 2, 2, 4, 2, 1, 1, 3, 3, 2] humoured	1.1	0.53852	[1, 0, 1, 2, 2, 1, 1, 1, 1, 1] humouring	1.7	0.78102	[2, 3, 1, 2, 1, 0, 2, 2, 2, 2] humourous	2.0	0.7746	[1, 2, 3, 2, 2, 3, 3, 2, 1, 1] hunger	-1.0	1.67332	[-4, 0, 2, -2, -1, -2, 1, -2, 0, -2] hurrah	2.6	0.8	[3, 2, 3, 3, 1, 3, 4, 2, 2, 3] hurrahed	1.9	0.53852	[2, 2, 1, 1, 2, 2, 3, 2, 2, 2] hurrahing	2.4	0.4899	[3, 2, 2, 2, 3, 2, 3, 3, 2, 2] hurrahs	2.1	1.44568	[2, 3, 0, 3, 2, 3, -1, 2, 3, 4] hurray	2.7	0.78102	[3, 2, 3, 3, 1, 3, 4, 2, 3, 3] hurrayed	1.8	1.32665	[3, 3, 2, 3, 3, 3, 0, 0, 1, 0] hurraying	1.2	1.66132	[2, -3, 2, 3, 0, 2, 2, 2, 0, 2] hurrays	2.4	1.11355	[2, 3, 2, 4, 0, 3, 2, 2, 2, 4] hurt	-2.4	0.8	[-3, -3, -2, -2, -4, -3, -2, -1, -2, -2] hurter	-2.3	0.78102	[-2, -4, -1, -2, -3, -3, -2, -2, -2, -2] hurters	-1.9	1.04403	[-2, -3, -1, -2, -1, 0, -3, -3, -3, -1] hurtful	-2.4	1.0198	[-2, -4, -2, -2, -1, -3, -2, -3, -1, -4] hurtfully	-2.6	0.66332	[-3, -2, -3, -2, -2, -3, -4, -3, -2, -2] hurtfulness	-1.9	1.51327	[2, -2, -2, -2, -3, -1, -2, -3, -4, -2] hurting	-1.7	0.78102	[-3, -1, -1, -2, -1, -1, -3, -2, -2, -1] hurtle	-0.3	1.1	[-2, 1, 0, -1, -1, -1, 0, 2, 0, -1] hurtled	-0.6	0.8	[0, -2, 0, 0, 0, 0, -1, -1, -2, 0] hurtles	-1.0	0.63246	[-1, -2, 0, 0, -1, -1, -1, -1, -2, -1] hurtless	0.3	1.55242	[-1, -3, 2, 1, 2, 1, 0, 0, -1, 2] hurtling	-1.4	0.8	[-3, -2, -1, -1, -1, -1, -1, -2, 0, -2] hurts	-2.1	0.83066	[-4, -2, -2, -2, -3, -1, -2, -2, -2, -1] hypocritical	-2.0	0.89443	[-4, -2, -1, -3, -2, -1, -2, -1, -2, -2] hysteria	-1.9	0.7	[-1, -3, -1, -2, -2, -2, -2, -2, -1, -3] hysterical	-0.1	1.97231	[2, 0, 0, 3, -2, -2, 3, -1, -2, -2] hysterics	-1.8	1.77764	[-3, -3, -3, -1, -3, -1, -2, 3, -3, -2] ideal	2.4	1.2	[4, 3, 4, 4, 2, 2, 1, 2, 1, 1] idealess	-1.9	1.3	[-4, -2, -3, -2, -1, 0, -4, -1, -1, -1] idealise	1.4	0.91652	[2, 2, 1, 0, 1, 3, 2, 0, 1, 2] idealised	2.1	0.83066	[1, 4, 1, 3, 2, 2, 2, 2, 2, 2] idealises	2.0	0.89443	[1, 4, 1, 2, 2, 2, 2, 3, 1, 2] idealising	0.6	0.4899	[0, 1, 1, 1, 1, 1, 1, 0, 0, 0] idealism	1.7	1.1	[1, 2, 0, 3, 3, 2, 1, 2, 3, 0] idealisms	0.8	0.9798	[0, 2, 3, 1, 0, 0, 1, 0, 0, 1] idealist	1.6	1.56205	[2, 3, -2, 1, 3, 3, 1, 0, 2, 3] idealistic	1.8	0.9798	[2, 1, 0, 2, 4, 2, 2, 2, 1, 2] idealistically	1.7	1.1	[0, 3, 3, 1, 2, 3, 0, 2, 1, 2] idealists	0.7	1.1	[0, -2, 1, 2, 1, 1, 2, 0, 1, 1] idealities	1.5	0.67082	[2, 1, 1, 2, 1, 0, 2, 2, 2, 2] ideality	1.9	0.9434	[0, 1, 2, 3, 2, 1, 2, 3, 3, 2] idealization	1.8	0.9798	[2, 2, 2, 1, 4, 2, 2, 0, 1, 2] idealizations	1.4	0.66332	[2, 1, 1, 2, 1, 2, 1, 0, 2, 2] idealize	1.2	0.9798	[1, 2, 2, 0, 0, 1, 3, 0, 2, 1] idealized	1.8	0.74833	[2, 3, 1, 1, 2, 1, 3, 1, 2, 2] idealizer	1.3	0.9	[1, 1, 1, 1, 1, 3, 0, 1, 3, 1] idealizers	1.9	1.37477	[1, 4, 1, 2, 0, 2, 3, 2, 4, 0] idealizes	2.0	1.0	[3, 2, 2, 1, 4, 2, 2, 0, 2, 2] idealizing	1.4	1.0198	[1, 1, 2, 3, 0, 1, 3, 0, 2, 1] idealless	-1.7	1.00499	[-2, -2, -2, -2, -4, -1, 0, -1, -2, -1] ideally	1.8	1.16619	[1, 0, 2, 2, 3, 2, 4, 0, 2, 2] idealogues	0.5	0.92195	[1, 0, -1, 2, 0, 0, 2, 0, 1, 0] idealogy	0.8	1.16619	[0, 3, 1, 0, 2, 0, 0, 1, 2, -1] ideals	0.8	0.6	[0, 1, 0, 2, 1, 1, 1, 0, 1, 1] idiot	-2.3	0.64031	[-2, -3, -1, -3, -2, -3, -3, -2, -2, -2] idiotic	-2.6	0.91652	[-3, -4, -2, -3, -2, -2, -4, -1, -3, -2] ignorable	-1.0	0.63246	[-1, -1, -1, -2, 0, -1, 0, -1, -2, -1] ignorami	-1.9	0.83066	[-2, -2, -3, -2, 0, -1, -2, -2, -3, -2] ignoramus	-1.9	0.83066	[-1, -2, -1, -3, -1, -3, -1, -3, -2, -2] ignoramuses	-2.3	1.1	[-2, -2, -3, -4, 0, -1, -3, -2, -3, -3] ignorance	-1.5	1.20416	[-2, -2, -3, -2, 0, -2, -1, -3, -1, 1] ignorances	-1.2	0.9798	[0, -1, -2, -1, -2, -2, -1, 1, -2, -2] ignorant	-1.1	0.83066	[-1, -1, -1, -2, 1, -2, -1, -2, -1, -1] ignorantly	-1.6	0.91652	[-1, -2, -2, -2, -2, -2, -2, 1, -2, -2] ignorantness	-1.1	1.44568	[3, -1, -2, -1, -1, -2, -2, -2, -1, -2] ignore	-1.5	0.67082	[-1, -2, -1, -1, -1, -1, -2, -3, -2, -1] ignored	-1.3	0.45826	[-2, -1, -2, -1, -1, -2, -1, -1, -1, -1] ignorer	-1.3	0.45826	[-1, -1, -2, -1, -2, -1, -1, -1, -2, -1] ignorers	-0.7	1.00499	[-1, -2, -1, -1, -1, 1, 0, -2, 1, -1] ignores	-1.1	0.3	[-1, -1, -2, -1, -1, -1, -1, -1, -1, -1] ignoring	-1.7	0.64031	[-1, -1, -1, -2, -2, -3, -2, -1, -2, -2] ill	-1.8	0.9798	[-2, 0, -2, -1, -4, -2, -2, -2, -1, -2] illegal	-2.6	0.8	[-3, -4, -3, -2, -1, -2, -3, -3, -2, -3] illiteracy	-1.9	0.7	[-2, -1, -2, -2, -3, -2, -1, -2, -1, -3] illness	-1.7	0.64031	[-2, -1, -2, -2, -3, -2, -1, -2, -1, -1] illnesses	-2.2	0.74833	[-2, -2, -2, -4, -2, -3, -2, -1, -2, -2] imbecile	-2.2	0.9798	[-3, -2, -3, -3, -3, -1, -3, 0, -2, -2] immobilized	-1.2	0.87178	[-1, -3, 0, -1, -1, 0, -2, -1, -2, -1] immoral	-2.0	1.09545	[-4, -1, -1, -3, -2, -3, -3, -1, -1, -1] immoralism	-1.6	0.91652	[-2, -2, -2, -2, 1, -2, -2, -2, -1, -2] immoralist	-2.1	0.3	[-2, -2, -3, -2, -2, -2, -2, -2, -2, -2] immoralists	-1.7	0.78102	[-2, -2, -2, -3, -1, -1, -1, -1, -3, -1] immoralities	-1.1	1.51327	[-2, -1, -4, -3, 1, 1, -1, 0, -1, -1] immorality	-0.6	2.2891	[3, -3, 1, 2, 2, -2, -4, -1, -2, -2] immorally	-2.1	0.7	[-1, -1, -2, -2, -3, -2, -3, -2, -2, -3] immortal	1.0	1.73205	[3, 3, 2, 2, -2, -2, 2, 1, 1, 0] immune	1.2	0.74833	[2, 2, 0, 1, 2, 1, 2, 1, 1, 0] impatience	-1.8	0.4	[-2, -2, -1, -2, -2, -2, -2, -1, -2, -2] impatiens	-0.2	0.6	[0, 0, -1, 0, 0, 0, 1, -1, -1, 0] impatient	-1.2	0.4	[-1, -1, -1, -1, -1, -1, -2, -1, -1, -2] impatiently	-1.7	0.64031	[-1, -1, -2, -3, -1, -2, -1, -2, -2, -2] imperfect	-1.3	0.64031	[-1, -1, -1, -1, -1, -2, -3, -1, -1, -1] impersonal	-1.3	0.45826	[-2, -2, -1, -1, -2, -1, -1, -1, -1, -1] impolite	-1.6	0.66332	[-2, -1, -3, -1, -1, -1, -1, -2, -2, -2] impolitely	-1.8	0.6	[-2, -2, -1, -1, -2, -1, -2, -2, -3, -2] impoliteness	-1.8	0.87178	[-1, -3, -2, -3, -2, -3, -1, -1, -1, -1] impolitenesses	-2.3	0.78102	[-3, -2, -2, -1, -1, -3, -3, -2, -3, -3] importance	1.5	0.80623	[2, 1, 2, 3, 1, 2, 1, 0, 2, 1] importancies	0.4	1.42829	[0, 0, 1, 2, 0, 0, 2, 2, 0, -3] importancy	1.4	0.66332	[2, 1, 2, 2, 1, 2, 1, 0, 2, 1] important	0.8	1.07703	[0, 0, 0, 2, 1, 0, 0, 3, 2, 0] importantly	1.3	0.78102	[2, 1, 2, 1, 2, 2, 0, 0, 1, 2] impose	-1.2	0.4	[-1, -1, -1, -1, -2, -1, -2, -1, -1, -1] imposed	-0.3	1.41774	[2, -1, -1, -1, 1, 0, -2, 2, -2, -1] imposes	-0.4	1.42829	[-2, -1, 1, -2, -1, -1, -2, 1, 2, 1] imposing	-0.4	1.0198	[1, -1, -2, -1, 1, 1, 0, -1, -1, -1] impotent	-1.1	0.3	[-1, -1, -1, -2, -1, -1, -1, -1, -1, -1] impress	1.9	0.53852	[2, 2, 1, 2, 2, 2, 2, 1, 2, 3] impressed	2.1	0.3	[2, 2, 2, 2, 2, 2, 3, 2, 2, 2] impresses	2.1	0.3	[2, 2, 2, 2, 2, 2, 3, 2, 2, 2] impressibility	1.2	1.249	[-1, 2, 0, 2, 0, 2, 2, 3, 2, 0] impressible	0.8	1.16619	[2, -1, 1, 0, -1, 2, 1, 0, 2, 2] impressing	2.5	0.92195	[3, 4, 1, 2, 3, 2, 3, 1, 3, 3] impression	0.9	0.9434	[0, 1, 0, 0, 2, 2, 0, 2, 0, 2] impressionable	0.2	1.07703	[0, 0, -1, 1, -1, -1, 0, 2, 0, 2] impressionism	0.8	1.07703	[0, 2, 3, 0, 0, 2, 0, 0, 1, 0] impressionisms	0.5	0.80623	[0, 0, 0, 0, 0, 2, 0, 1, 0, 2] impressionist	1.0	1.09545	[0, 2, 3, 0, 0, 2, 2, 0, 1, 0] impressionistic	1.5	1.20416	[2, 2, 0, 0, 1, 0, 2, 2, 4, 2] impressionistically	1.6	0.8	[2, 0, 1, 1, 2, 2, 3, 2, 2, 1] impressionists	0.5	1.43178	[2, 0, 0, 1, 1, 2, -2, 2, 1, -2] impressions	0.9	1.13578	[2, 0, 0, 3, 0, 2, 0, 2, 0, 0] impressive	2.3	0.78102	[1, 2, 3, 2, 3, 2, 3, 3, 3, 1] impressively	2.0	0.89443	[3, 1, 1, 2, 2, 2, 2, 4, 2, 1] impressiveness	1.7	0.64031	[2, 1, 2, 3, 1, 2, 2, 2, 1, 1] impressment	-0.4	1.85472	[-2, 1, 3, -2, -1, -3, 0, 0, 2, -2] impressments	0.5	1.20416	[2, 0, 0, 1, 2, 2, 0, -2, 0, 0] impressure	0.6	1.0198	[-1, 0, 0, 0, 0, 2, 0, 2, 1, 2] imprisoned	-2.0	1.0	[-4, -2, -3, -1, -3, -2, -1, -2, -1, -1] improve	1.9	0.7	[2, 3, 3, 2, 1, 1, 2, 2, 1, 2] improved	2.1	0.7	[3, 1, 2, 3, 2, 3, 1, 2, 2, 2] improvement	2.0	0.63246	[2, 3, 3, 2, 1, 1, 2, 2, 2, 2] improvements	1.3	0.64031	[0, 2, 2, 1, 2, 2, 1, 1, 1, 1] improver	1.8	0.6	[2, 1, 2, 1, 2, 3, 1, 2, 2, 2] improvers	1.3	0.78102	[1, 2, 2, 1, 2, 2, 0, 0, 1, 2] improves	1.8	1.07703	[3, -1, 2, 2, 2, 3, 1, 2, 2, 2] improving	1.8	0.4	[2, 2, 1, 1, 2, 2, 2, 2, 2, 2] inability	-1.7	0.9	[-2, -2, -3, 0, -2, -3, -2, -1, -1, -1] inaction	-1.0	0.63246	[-2, -1, 0, -1, -1, 0, -1, -2, -1, -1] inadequacies	-1.7	0.64031	[-1, -3, -2, -1, -2, -1, -2, -2, -1, -2] inadequacy	-1.7	0.78102	[-1, -3, -1, -1, -3, -2, -2, -1, -2, -1] inadequate	-1.7	0.64031	[-2, -1, -1, -3, -1, -1, -2, -2, -2, -2] inadequately	-1.0	1.26491	[-3, -1, -1, -2, 2, -1, -2, -1, 0, -1] inadequateness	-1.7	0.45826	[-2, -2, -1, -1, -1, -2, -2, -2, -2, -2] inadequatenesses	-1.6	0.91652	[-1, -1, -2, -1, -2, -4, -2, -1, -1, -1] incapable	-1.6	0.4899	[-1, -2, -1, -1, -2, -1, -2, -2, -2, -2] incapacitated	-1.9	0.9434	[-2, -2, -1, -1, -2, -4, -1, -1, -2, -3] incensed	-2.0	1.0	[-2, -1, -4, 0, -2, -2, -2, -3, -2, -2] incentive	1.5	1.0247	[1, 2, 1, 2, 1, 0, 4, 2, 1, 1] incentives	1.3	1.34536	[2, 2, 1, 1, 3, 1, -2, 3, 1, 1] incompetence	-2.3	0.45826	[-3, -2, -2, -3, -2, -3, -2, -2, -2, -2] incompetent	-2.1	0.83066	[-1, -1, -2, -2, -3, -3, -2, -3, -1, -3] inconsiderate	-1.9	0.7	[-2, -1, -1, -1, -2, -2, -2, -3, -3, -2] inconvenience	-1.5	0.5	[-1, -2, -1, -1, -1, -2, -2, -1, -2, -2] inconvenient	-1.4	0.4899	[-2, -2, -1, -2, -1, -2, -1, -1, -1, -1] increase	1.3	0.64031	[1, 2, 2, 1, 2, 0, 1, 1, 2, 1] increased	1.1	1.04403	[2, 0, 3, 2, 2, 1, 0, 1, 0, 0] indecision	-0.8	0.6	[-1, 0, -1, 0, -1, -1, -2, 0, -1, -1] indecisions	-1.1	0.53852	[-1, -1, -1, -1, -2, -1, -2, -1, 0, -1] indecisive	-1.0	0.44721	[0, -1, -1, -1, -1, -2, -1, -1, -1, -1] indecisively	-0.7	1.18743	[-2, -1, -1, -1, -1, -1, -2, 2, 1, -1] indecisiveness	-1.3	0.64031	[-1, -3, -1, -2, -1, -1, -1, -1, -1, -1] indecisivenesses	-0.9	0.53852	[-1, -1, 0, -1, -1, 0, -1, -2, -1, -1] indestructible	0.6	1.85472	[3, 4, -1, -2, 1, 1, 2, 0, -1, -1] indifference	-0.2	0.74833	[0, -1, 0, 0, 0, 1, -2, 0, 0, 0] indifferent	-0.8	0.6	[-1, 0, 0, -1, -2, -1, -1, 0, -1, -1] indignant	-1.8	0.74833	[-1, -3, -2, -2, -2, -1, -1, -1, -3, -2] indignation	-2.4	0.8	[-2, -1, -2, -3, -3, -3, -1, -3, -3, -3] indoctrinate	-1.4	0.91652	[-1, -3, -1, 0, -2, -1, -2, -2, 0, -2] indoctrinated	-0.4	1.35647	[1, -2, -3, 1, -1, 1, 1, -1, -1, 0] indoctrinates	-0.6	1.2	[1, -1, -3, 1, -1, 1, -1, -1, -1, -1] indoctrinating	-0.7	1.41774	[-1, 0, -3, -1, -2, -1, 2, -2, 0, 1] ineffective	-0.5	1.74642	[-2, -1, -1, -1, -2, 2, -2, 1, 3, -2] ineffectively	-1.3	0.9	[-2, -2, -2, 1, -1, -1, -1, -2, -1, -2] ineffectiveness	-1.3	0.45826	[-1, -1, -2, -1, -1, -2, -1, -1, -2, -1] ineffectual	-1.2	0.4	[-1, -1, -1, -1, -1, -1, -1, -2, -2, -1] ineffectuality	-1.6	0.66332	[-2, -1, -1, -1, -2, -1, -3, -2, -2, -1] ineffectually	-1.1	0.9434	[-1, -2, -2, -1, 0, -1, -2, -1, 1, -2] ineffectualness	-1.3	0.45826	[-2, -1, -1, -1, -1, -2, -1, -1, -2, -1] infatuated	0.2	1.72047	[3, 2, 0, 3, -1, -1, -2, 0, -1, -1] infatuation	0.6	1.74356	[1, -1, -1, 2, -1, 1, 4, 2, 1, -2] infected	-2.2	0.6	[-3, -2, -2, -2, -2, -2, -3, -1, -2, -3] inferior	-1.7	0.78102	[-1, -2, -2, -1, -1, -3, -2, -1, -1, -3] inferiorities	-1.9	0.7	[-2, -3, -1, -2, -2, -3, -1, -1, -2, -2] inferiority	-1.1	1.7	[-2, -3, -2, -2, -2, -3, 2, 1, -1, 1] inferiorly	-2.0	0.63246	[-3, -2, -2, -2, -2, -3, -1, -2, -1, -2] inferiors	-0.5	1.43178	[-1, -1, -1, -2, -1, 0, 3, -1, 1, -2] inflamed	-1.4	1.28062	[-2, -2, -1, -2, -2, -1, 2, -3, -2, -1] influential	1.9	1.04403	[3, 1, 2, 3, 4, 1, 1, 2, 1, 1] infringement	-2.1	0.83066	[-3, -1, -2, -1, -2, -1, -3, -3, -2, -3] infuriate	-2.2	0.87178	[-2, -1, -3, -3, -2, -3, -3, -1, -1, -3] infuriated	-3.0	0.7746	[-1, -4, -3, -3, -3, -3, -3, -3, -3, -4] infuriates	-2.6	0.8	[-4, -2, -1, -3, -3, -3, -2, -3, -3, -2] infuriating	-2.4	1.42829	[-1, -3, -3, -3, -3, -4, 0, 0, -4, -3] inhibin	-0.2	0.4	[-1, 0, 0, 0, 0, 0, 0, 0, -1, 0] inhibit	-1.6	0.4899	[-1, -2, -1, -2, -1, -2, -2, -2, -1, -2] inhibited	-0.4	0.4899	[0, 0, -1, 0, -1, -1, 0, -1, 0, 0] inhibiting	-0.4	1.42829	[1, -1, -1, -1, -2, -1, 2, -2, 2, -1] inhibition	-1.5	0.67082	[-1, -1, -1, -1, -2, -1, -1, -2, -2, -3] inhibitions	-0.8	0.74833	[-2, -1, -2, 0, 0, 0, 0, -1, -1, -1] inhibitive	-1.4	0.4899	[-2, -2, -1, -1, -2, -1, -2, -1, -1, -1] inhibitor	-0.3	1.00499	[-2, 1, 1, -1, 1, 0, -1, -1, 0, -1] inhibitors	-1.0	0.7746	[-1, 0, -2, -1, -2, -2, 0, 0, -1, -1] inhibitory	-1.0	0.7746	[0, -1, -2, -2, -1, -2, 0, 0, -1, -1] inhibits	-0.9	0.53852	[-1, -1, -2, -1, -1, 0, -1, -1, -1, 0] injured	-1.7	0.64031	[-2, -1, -1, -1, -2, -1, -2, -2, -3, -2] injury	-1.8	0.6	[-2, -2, -1, -2, -1, -1, -2, -3, -2, -2] injustice	-2.7	0.64031	[-3, -2, -3, -4, -3, -3, -2, -2, -3, -2] innocence	1.6	0.91652	[3, 1, 1, 1, 2, 2, 0, 3, 2, 1] innocency	1.9	0.83066	[3, 1, 2, 0, 2, 2, 2, 3, 2, 2] innocent	1.4	1.2	[1, -1, 2, 2, 2, 0, 1, 3, 3, 1] innocenter	0.9	1.37477	[1, 1, 1, 2, 2, 1, 1, -3, 1, 2] innocently	1.4	0.8	[0, 2, 1, 1, 1, 1, 3, 2, 2, 1] innocents	1.1	1.04403	[0, 0, 2, 2, 2, -1, 1, 1, 2, 2] innovate	2.2	0.74833	[2, 4, 3, 2, 2, 1, 2, 2, 2, 2] innovates	2.0	0.89443	[2, 2, 2, 0, 1, 3, 3, 2, 3, 2] innovation	1.6	0.91652	[1, 0, 3, 2, 1, 2, 3, 2, 1, 1] innovative	1.9	0.83066	[1, 1, 2, 1, 2, 4, 2, 2, 2, 2] inquisition	-1.2	1.249	[-2, 1, -1, 0, 0, -3, -1, -3, -2, -1] inquisitive	0.7	1.18743	[2, 1, 1, 2, -2, -1, 1, 1, 1, 1] insane	-1.7	0.78102	[-2, 0, -2, -1, -2, -3, -2, -2, -1, -2] insanity	-2.7	1.00499	[-2, -4, -1, -1, -3, -4, -3, -3, -3, -3] insecure	-1.8	0.74833	[-1, -2, -2, -1, -3, -2, -3, -2, -1, -1] insecurely	-1.4	0.66332	[-3, -1, -1, -1, -2, -1, -2, -1, -1, -1] insecureness	-1.8	0.87178	[-1, -1, -1, -3, -3, -3, -2, -2, -1, -1] insecurities	-1.8	0.6	[-3, -2, -2, -2, -1, -2, -1, -1, -2, -2] insecurity	-1.8	0.74833	[-2, -2, -2, -1, -3, -3, -2, -1, -1, -1] insensitive	-0.9	1.81384	[2, -3, -2, -1, 2, -3, -2, 1, -1, -2] insensitivity	-1.8	0.6	[-2, -2, -1, -3, -2, -2, -1, -2, -1, -2] insignificant	-1.4	0.8	[-3, -2, -1, -2, -1, -2, 0, -1, -1, -1] insincere	-1.8	0.6	[-2, -1, -2, -1, -2, -2, -2, -2, -1, -3] insincerely	-1.9	0.7	[-2, -1, -2, -2, -1, -3, -2, -3, -1, -2] insincerity	-1.4	1.35647	[-1, -1, -3, -2, -1, 2, -2, -1, -2, -3] insipid	-2.0	0.7746	[-1, -2, -2, -1, -3, -3, -3, -2, -2, -1] inspiration	2.4	0.8	[3, 3, 3, 3, 1, 3, 1, 3, 2, 2] inspirational	2.3	0.64031	[2, 3, 2, 3, 2, 3, 2, 3, 1, 2] inspirationally	2.3	0.64031	[3, 2, 2, 3, 3, 1, 2, 2, 3, 2] inspirations	2.1	0.53852	[2, 2, 2, 2, 1, 2, 2, 3, 3, 2] inspirator	1.9	1.22066	[2, 2, 3, 0, 3, 4, 0, 2, 1, 2] inspirators	1.2	0.74833	[3, 1, 1, 2, 1, 1, 1, 1, 0, 1] inspiratory	1.5	0.67082	[2, 2, 3, 1, 1, 1, 1, 1, 2, 1] inspire	2.7	0.78102	[2, 3, 3, 3, 3, 3, 3, 1, 4, 2] inspired	2.2	0.87178	[3, 2, 1, 3, 1, 1, 3, 2, 3, 3] inspirer	2.2	1.07703	[3, 2, 2, 4, 0, 2, 3, 1, 3, 2] inspirers	2.0	0.63246	[2, 2, 3, 2, 3, 2, 1, 2, 1, 2] inspires	1.9	1.04403	[2, 2, 2, 4, 0, 2, 3, 1, 1, 2] inspiring	1.8	1.07703	[2, 2, 2, -1, 2, 3, 2, 2, 1, 3] inspiringly	2.6	0.4899	[2, 3, 3, 2, 3, 3, 2, 3, 2, 3] inspirit	1.9	0.7	[1, 3, 2, 1, 2, 1, 3, 2, 2, 2] inspirited	1.3	1.18743	[2, 2, 0, 0, 3, 0, 2, 0, 3, 1] inspiriting	1.8	0.4	[1, 2, 1, 2, 2, 2, 2, 2, 2, 2] inspiritingly	2.1	1.44568	[3, 2, 2, 2, 4, 1, -1, 3, 4, 1] inspirits	0.8	1.46969	[3, 0, 3, -2, 0, 1, 1, 0, 2, 0] insult	-2.3	1.00499	[-2, -1, -2, -3, -4, -1, -3, -1, -3, -3] insulted	-2.3	0.45826	[-2, -2, -2, -2, -3, -2, -2, -2, -3, -3] insulter	-2.0	0.63246	[-2, -1, -2, -2, -1, -3, -3, -2, -2, -2] insulters	-2.0	0.44721	[-2, -3, -2, -2, -2, -2, -2, -1, -2, -2] insulting	-2.2	0.74833	[-3, -2, -3, -3, -2, -3, -1, -2, -2, -1] insultingly	-2.3	0.78102	[-3, -3, -1, -2, -2, -3, -2, -1, -3, -3] insults	-1.8	0.6	[-2, -3, -2, -2, -1, -1, -1, -2, -2, -2] intact	0.8	0.6	[1, 1, 0, 0, 1, 1, 0, 1, 1, 2] integrity	1.6	0.66332	[2, 1, 1, 1, 2, 1, 3, 1, 2, 2] intellect	2.0	1.09545	[2, 1, 4, 2, 1, 3, 2, 3, 0, 2] intellection	0.6	1.0198	[0, 0, 0, 1, 0, 0, 0, 0, 2, 3] intellections	0.8	0.87178	[1, 0, 1, 0, 1, 1, 1, 0, 0, 3] intellective	1.7	0.78102	[3, 2, 1, 2, 2, 1, 0, 2, 2, 2] intellectively	0.8	0.9798	[0, 0, 1, 1, 0, 3, 0, 1, 2, 0] intellects	1.8	0.87178	[1, 0, 2, 1, 3, 2, 2, 2, 3, 2] intellectual	2.3	0.9	[3, 3, 1, 2, 3, 4, 2, 2, 1, 2] intellectualism	2.2	1.07703	[4, 0, 3, 1, 3, 2, 2, 3, 2, 2] intellectualist	2.0	1.0	[4, 0, 2, 1, 3, 2, 2, 2, 2, 2] intellectualistic	1.3	1.73494	[1, 4, 0, 3, -2, 0, 2, 3, 0, 2] intellectualists	0.8	0.74833	[0, 1, 1, 1, 0, 2, 0, 1, 2, 0] intellectualities	1.7	1.34536	[3, 3, 0, 2, 1, 0, 0, 4, 2, 2] intellectuality	1.7	1.1	[3, 2, 2, 1, 2, 1, 0, 3, 0, 3] intellectualization	1.5	1.11803	[2, 1, 2, 1, 4, 2, 0, 0, 2, 1] intellectualize	1.5	0.92195	[1, 2, 1, 1, 3, 2, 3, 0, 1, 1] intellectualized	1.2	0.74833	[1, 0, 1, 1, 2, 0, 1, 2, 2, 2] intellectualizes	1.8	0.87178	[2, 3, 2, 0, 2, 3, 2, 2, 1, 1] intellectualizing	0.8	1.77764	[0, 1, 2, 1, 0, 2, 2, -4, 2, 2] intellectually	1.4	0.8	[2, 0, 0, 1, 2, 2, 2, 2, 2, 1] intellectualness	1.5	0.80623	[2, 2, 2, 2, 0, 0, 1, 2, 2, 2] intellectuals	1.6	0.8	[0, 1, 2, 1, 3, 2, 1, 2, 2, 2] intelligence	2.1	0.9434	[3, 2, 2, 1, 3, 3, 3, 2, 2, 0] intelligencer	1.5	0.80623	[2, 0, 0, 2, 2, 2, 2, 1, 2, 2] intelligencers	1.6	0.91652	[2, 2, 0, 2, 2, 0, 3, 2, 2, 1] intelligences	1.6	0.91652	[3, 0, 0, 2, 2, 2, 2, 1, 2, 2] intelligent	2.0	0.7746	[1, 2, 2, 1, 4, 2, 2, 2, 2, 2] intelligential	1.9	0.9434	[3, 2, 2, 1, 3, 2, 2, 3, 0, 1] intelligently	2.0	0.63246	[2, 3, 2, 3, 1, 2, 2, 1, 2, 2] intelligentsia	1.5	1.20416	[0, 1, 2, 0, 4, 3, 2, 1, 1, 1] intelligibility	1.5	0.80623	[2, 2, 0, 2, 2, 1, 2, 0, 2, 2] intelligible	1.4	0.8	[1, 2, 2, 1, 0, 2, 1, 1, 3, 1] intelligibleness	1.5	1.20416	[2, 1, 3, -1, 2, 2, 2, 0, 1, 3] intelligibly	1.2	0.87178	[1, 2, 1, 2, 1, -1, 2, 2, 1, 1] intense	0.3	0.45826	[0, 1, 1, 0, 0, 0, 0, 0, 1, 0] interest	2.0	1.18322	[2, 3, 3, 1, 1, 3, 4, 1, 2, 0] interested	1.7	0.45826	[2, 1, 2, 2, 1, 2, 2, 2, 1, 2] interestedly	1.5	0.67082	[2, 2, 2, 1, 2, 1, 2, 1, 0, 2] interesting	1.7	0.78102	[1, 2, 1, 3, 1, 1, 1, 3, 2, 2] interestingly	1.7	0.45826	[2, 2, 2, 1, 2, 1, 1, 2, 2, 2] interestingness	1.8	0.87178	[2, 3, 1, 3, 1, 3, 2, 1, 1, 1] interests	1.0	0.89443	[1, 0, 1, 2, 0, 0, 1, 1, 1, 3] interrogated	-1.6	1.0198	[-3, -1, -1, -1, -2, -1, -3, -1, -3, 0] interrupt	-1.4	0.4899	[-2, -1, -1, -1, -2, -2, -1, -1, -2, -1] interrupted	-1.2	0.6	[-1, -2, -1, 0, -1, -1, -2, -1, -2, -1] interrupter	-1.1	0.53852	[-1, -2, -1, 0, -1, -1, -1, -1, -2, -1] interrupters	-1.3	0.45826	[-1, -2, -1, -1, -1, -1, -2, -1, -2, -1] interruptible	-1.3	1.00499	[-2, -1, 0, -2, 0, -3, -2, -1, 0, -2] interrupting	-1.2	0.4	[-2, -1, -1, -1, -1, -2, -1, -1, -1, -1] interruption	-1.5	0.67082	[-1, -1, -2, -3, -2, -1, -1, -1, -2, -1] interruptions	-1.7	0.45826	[-2, -2, -2, -2, -2, -1, -1, -1, -2, -2] interruptive	-1.4	0.66332	[-2, -2, -1, -2, -2, 0, -1, -1, -1, -2] interruptor	-1.3	0.64031	[-2, -1, -1, -1, 0, -2, -2, -2, -1, -1] interrupts	-1.3	0.64031	[-1, -1, -2, -1, -1, -1, -1, -1, -3, -1] intimidate	-0.8	1.46969	[-1, -2, -2, -2, -2, -1, 2, 1, 1, -2] intimidated	-1.9	0.7	[-2, -1, -3, -3, -1, -2, -2, -1, -2, -2] intimidates	-1.3	0.78102	[-2, -1, -1, -1, -3, -2, -1, -1, -1, 0] intimidating	-1.9	1.04403	[0, -2, -1, -3, -2, -1, -1, -3, -3, -3] intimidatingly	-1.1	1.64012	[2, -2, -3, -1, -2, -2, 2, -2, -1, -2] intimidation	-1.8	1.249	[1, -2, -3, -1, -2, -3, -1, -3, -1, -3] intimidations	-1.4	1.49666	[1, -2, -2, -2, -1, -1, -1, -4, 1, -3] intimidator	-1.6	0.4899	[-1, -1, -2, -2, -1, -2, -2, -1, -2, -2] intimidators	-1.6	0.8	[-1, -1, -3, -2, -1, -1, -3, -1, -2, -1] intimidatory	-1.1	1.22066	[-1, -2, -3, -1, -1, -1, -2, 2, -1, -1] intricate	0.6	0.66332	[1, 0, 2, 1, 0, 1, 1, 0, 0, 0] intrigues	0.9	0.9434	[2, -1, 2, 1, 2, 0, 1, 1, 0, 1] invigorate	1.9	0.83066	[2, 2, 2, 0, 2, 3, 3, 2, 1, 2] invigorated	0.8	1.8868	[-2, 3, 2, 2, -2, -2, 2, 2, 1, 2] invigorates	2.1	0.53852	[3, 2, 3, 2, 1, 2, 2, 2, 2, 2] invigorating	2.1	0.7	[2, 1, 1, 3, 3, 3, 2, 2, 2, 2] invigoratingly	2.0	0.63246	[2, 2, 1, 2, 1, 3, 2, 2, 2, 3] invigoration	1.5	1.36015	[2, 2, 1, -2, 1, 3, 3, 2, 1, 2] invigorations	1.2	0.87178	[1, -1, 2, 2, 1, 1, 2, 1, 2, 1] invigorator	1.1	1.3	[3, 1, 0, 2, 2, -2, 1, 1, 2, 1] invigorators	1.2	0.87178	[1, 1, 1, 1, 3, 2, 0, 0, 1, 2] invincible	2.2	1.77764	[4, 1, 3, 2, 4, 1, 4, -1, 0, 4] invite	0.6	0.66332	[2, 1, 1, 0, 0, 0, 0, 1, 1, 0] inviting	1.3	0.45826	[1, 1, 1, 2, 1, 2, 2, 1, 1, 1] invulnerable	1.3	1.73494	[2, 3, 4, 2, 0, 3, 0, 1, -2, 0] irate	-2.9	0.53852	[-3, -3, -3, -2, -3, -4, -3, -3, -2, -3] ironic	-0.5	1.28452	[1, 0, 0, 0, 0, 0, -4, -1, -1, 0] irony	-0.2	1.07703	[-1, 0, -3, 0, 0, 0, 1, 0, 1, 0] irrational	-1.4	0.4899	[-1, -1, -1, -2, -2, -2, -1, -1, -2, -1] irrationalism	-1.5	0.5	[-1, -2, -1, -1, -2, -1, -2, -2, -1, -2] irrationalist	-2.1	0.9434	[-1, -4, -2, -2, -3, -3, -2, -1, -1, -2] irrationalists	-1.5	0.92195	[-2, -2, -1, -2, -2, 1, -1, -2, -2, -2] irrationalities	-1.5	0.80623	[-2, -2, 0, -1, -1, -1, -2, -3, -1, -2] irrationality	-1.7	0.9	[-3, -3, -1, -2, -1, -1, -1, -1, -3, -1] irrationally	-1.6	0.4899	[-1, -2, -1, -2, -1, -2, -2, -2, -1, -2] irrationals	-1.1	0.83066	[-2, 0, -1, 0, -1, -1, -3, -1, -1, -1] irresistible	1.4	2.2	[2, 3, 2, 3, 4, 4, 1, -1, -2, -2] irresolute	-1.4	0.66332	[-2, -2, -1, -2, -1, -1, -1, -2, -2, 0] irresponsible	-1.9	0.3	[-2, -2, -2, -2, -2, -2, -1, -2, -2, -2] irreversible	-0.8	0.87178	[-2, -2, 0, -1, 0, 0, 0, -1, -2, 0] irritabilities	-1.7	0.64031	[-2, -2, -2, -1, -1, -1, -1, -2, -3, -2] irritability	-1.4	1.28062	[-2, -1, -2, -1, 2, -2, -2, -2, -1, -3] irritable	-2.1	0.7	[-2, -2, -3, -1, -2, -1, -3, -2, -3, -2] irritableness	-1.7	0.64031	[-2, -2, -2, -1, -2, -1, -1, -3, -1, -2] irritably	-1.8	0.6	[-2, -2, -1, -1, -3, -2, -1, -2, -2, -2] irritant	-2.3	0.78102	[-3, -3, -3, -3, -3, -1, -2, -2, -2, -1] irritants	-2.1	0.83066	[-2, -3, -1, -4, -2, -1, -2, -2, -2, -2] irritate	-1.8	0.6	[-3, -2, -2, -2, -1, -2, -1, -2, -1, -2] irritated	-2.0	0.63246	[-1, -2, -2, -2, -3, -2, -2, -3, -1, -2] irritates	-1.7	0.78102	[-1, -2, -1, -1, -3, -2, -2, -3, -1, -1] irritating	-2.0	0.63246	[-2, -2, -2, -1, -1, -3, -2, -2, -3, -2] irritatingly	-2.0	0.44721	[-2, -2, -2, -3, -1, -2, -2, -2, -2, -2] irritation	-2.3	0.78102	[-3, -2, -2, -2, -1, -3, -3, -1, -3, -3] irritations	-1.5	0.67082	[-2, -2, -1, -1, -1, -1, -1, -2, -3, -1] irritative	-2.0	0.63246	[-3, -2, -3, -2, -1, -2, -2, -2, -1, -2] isolatable	0.2	1.249	[1, 0, -2, 0, -1, -1, 2, 0, 2, 1] isolate	-0.8	0.74833	[-1, -1, -1, 0, 0, 0, 0, -2, -1, -2] isolated	-1.3	0.64031	[-1, -1, -1, -1, -1, -1, -2, -1, -3, -1] isolates	-1.3	0.64031	[-1, -1, -1, -1, -2, -1, -3, -1, -1, -1] isolation	-1.7	0.78102	[-1, -3, -1, -2, -2, -1, -3, -1, -2, -1] isolationism	0.4	1.62481	[2, 0, -1, -2, -1, 3, 0, 2, -1, 2] isolationist	0.7	1.55242	[2, 0, 0, -1, -1, 3, 0, 2, -1, 3] isolations	-0.5	1.11803	[-1, -2, -2, -1, 1, 1, -1, 0, 1, -1] isolator	-0.4	0.66332	[0, 0, -1, 0, -1, 0, -2, 0, 0, 0] isolators	-0.4	1.42829	[-2, -1, -1, -2, 2, 2, -1, 1, -1, -1] itchy	-1.1	0.53852	[-1, -1, -1, -1, -2, 0, -1, -1, -2, -1] jackass	-1.8	1.07703	[-1, 0, -3, -2, -2, -3, 0, -2, -2, -3] jackasses	-2.8	0.9798	[-2, -2, -4, -3, -4, -4, -3, -1, -2, -3] jaded	-1.6	0.66332	[-1, -1, -1, -2, -2, -1, -2, -2, -1, -3] jailed	-2.2	0.87178	[-4, -3, -2, -2, -1, -2, -2, -3, -1, -2] jaunty	1.2	0.6	[2, 1, 0, 2, 1, 1, 1, 2, 1, 1] jealous	-2.0	0.63246	[-2, -2, -3, -2, -3, -2, -1, -1, -2, -2] jealousies	-2.0	0.63246	[-2, -3, -2, -1, -2, -3, -2, -1, -2, -2] jealously	-2.0	0.89443	[-1, -3, -1, -4, -2, -2, -1, -2, -2, -2] jealousness	-1.7	0.45826	[-1, -2, -2, -2, -2, -1, -1, -2, -2, -2] jealousy	-1.3	1.73494	[-2, -3, -2, -2, -2, 2, -3, -1, 2, -2] jeopardy	-2.1	0.9434	[-3, -3, -3, -1, -1, -3, -2, -1, -1, -3] jerk	-1.4	0.8	[-1, -1, -1, -2, -3, 0, -2, -1, -1, -2] jerked	-0.8	0.74833	[0, -1, -1, 0, -2, -1, 0, -1, 0, -2] jerks	-1.1	1.51327	[-2, -2, -1, -2, -1, 0, -2, 3, -2, -2] jewel	1.5	1.20416	[1, 3, 2, 0, 2, 1, 3, 0, 3, 0] jewels	2.0	1.34164	[3, 1, 0, 0, 4, 3, 3, 2, 3, 1] jocular	1.2	1.249	[0, 1, 2, -2, 1, 2, 2, 2, 2, 2] join	1.2	0.74833	[2, 2, 1, 2, 1, 0, 1, 2, 0, 1] joke	1.2	0.74833	[1, 1, 1, 1, 1, 1, 0, 2, 1, 3] joked	1.3	0.64031	[1, 1, 2, 2, 0, 2, 1, 1, 2, 1] joker	0.5	0.92195	[1, 1, -1, 1, 2, -1, 1, 1, 0, 0] jokes	1.0	0.7746	[1, 1, -1, 1, 1, 2, 1, 1, 2, 1] jokester	1.5	0.67082	[2, 2, 2, 2, 1, 1, 0, 1, 2, 2] jokesters	0.9	0.83066	[0, 0, 2, 1, 1, 2, 2, 0, 1, 0] jokey	1.1	0.3	[1, 1, 2, 1, 1, 1, 1, 1, 1, 1] joking	0.9	0.53852	[1, 2, 1, 1, 1, 0, 1, 1, 0, 1] jollied	2.4	0.66332	[3, 3, 2, 2, 3, 3, 2, 2, 1, 3] jollier	2.4	0.4899	[2, 2, 3, 3, 2, 2, 2, 3, 2, 3] jollies	2.0	0.63246	[1, 2, 3, 2, 2, 2, 1, 2, 2, 3] jolliest	2.9	0.7	[3, 3, 2, 4, 3, 2, 3, 4, 2, 3] jollification	2.2	0.74833	[2, 3, 3, 1, 2, 1, 3, 2, 3, 2] jollifications	2.0	0.7746	[2, 3, 2, 2, 2, 2, 3, 2, 0, 2] jollify	2.1	0.53852	[2, 3, 2, 2, 2, 2, 2, 3, 1, 2] jollily	2.7	0.64031	[3, 3, 3, 3, 3, 3, 3, 1, 3, 2] jolliness	2.5	0.67082	[3, 1, 2, 3, 2, 3, 3, 3, 2, 3] jollities	1.7	0.64031	[2, 1, 2, 2, 1, 2, 2, 3, 1, 1] jollity	1.8	1.6	[3, 2, 1, 1, 4, 3, 1, 2, 3, -2] jolly	2.3	1.00499	[4, 3, 3, 1, 1, 1, 3, 2, 3, 2] jollying	2.3	0.64031	[2, 3, 3, 1, 3, 3, 2, 2, 2, 2] jovial	1.9	0.53852	[2, 2, 1, 2, 1, 2, 3, 2, 2, 2] joy	2.8	0.74833	[3, 2, 3, 4, 3, 3, 3, 1, 3, 3] joyance	2.3	0.9	[1, 3, 4, 2, 2, 1, 2, 3, 2, 3] joyed	2.9	0.3	[3, 3, 3, 3, 3, 3, 3, 2, 3, 3] joyful	2.9	0.53852	[3, 2, 3, 3, 2, 3, 4, 3, 3, 3] joyfuller	2.4	0.66332	[2, 4, 3, 2, 2, 2, 3, 2, 2, 2] joyfully	2.5	0.67082	[2, 2, 3, 3, 2, 2, 3, 4, 2, 2] joyfulness	2.7	1.00499	[4, 3, 1, 3, 3, 3, 4, 2, 1, 3] joying	2.5	0.67082	[2, 2, 1, 3, 3, 3, 3, 3, 3, 2] joyless	-2.5	0.67082	[-1, -2, -3, -3, -3, -3, -2, -2, -3, -3] joylessly	-1.7	1.1	[-2, -2, -3, -3, -2, -1, 1, -2, -1, -2] joylessness	-2.7	0.9	[-4, -3, -3, -3, -3, -3, -3, -1, -1, -3] joyous	3.1	0.7	[3, 4, 3, 2, 4, 3, 3, 4, 2, 3] joyously	2.9	0.7	[2, 3, 4, 3, 4, 2, 2, 3, 3, 3] joyousness	2.8	0.74833	[3, 3, 1, 3, 3, 3, 4, 2, 3, 3] joypop	-0.2	1.93907	[-3, 1, 2, 2, -3, -1, -2, -1, 1, 2] joypoppers	-0.1	1.22066	[2, -1, 1, -1, -1, 1, 1, 0, -2, -1] joyridden	0.6	1.8	[-2, -1, 4, 0, 0, 2, 1, -1, 0, 3] joyride	1.1	1.22066	[-1, 1, 2, 0, 2, 0, 2, 2, 3, 0] joyrider	0.7	1.26886	[2, -2, 1, 2, 0, 2, -1, 1, 1, 1] joyriders	1.3	1.18743	[1, 0, 0, 1, 4, 3, 1, 1, 1, 1] joyrides	0.8	1.32665	[2, -2, 1, 2, 0, 2, -1, 1, 2, 1] joyriding	0.9	1.04403	[1, -1, 1, 1, 0, 2, 0, 1, 3, 1] joyrode	1.0	1.48324	[4, 0, -2, 0, 2, 1, 2, 1, 1, 1] joys	2.2	0.4	[2, 2, 2, 2, 2, 3, 2, 3, 2, 2] joystick	0.7	0.78102	[1, 0, 2, 2, 0, 0, 1, 1, 0, 0] joysticks	0.2	0.4	[0, 0, 0, 0, 1, 0, 0, 1, 0, 0] jubilant	3.0	0.63246	[3, 3, 4, 3, 3, 2, 3, 4, 2, 3] jumpy	-1.0	0.63246	[0, 0, -2, -1, -1, -1, -1, -1, -2, -1] justice	2.4	1.0198	[3, 2, 1, 2, 3, 2, 4, 4, 2, 1] justifiably	1.0	0.7746	[0, 1, 0, 1, 1, 1, 0, 2, 2, 2] justified	1.7	0.64031	[1, 2, 2, 3, 1, 1, 1, 2, 2, 2] keen	1.5	0.67082	[1, 1, 3, 1, 2, 1, 1, 2, 2, 1] keened	0.3	1.00499	[-2, 0, 1, 0, 1, 1, 0, 2, 0, 0] keener	0.5	1.20416	[-1, -1, 0, -1, 2, 1, 2, 2, 1, 0] keeners	0.6	0.4899	[1, 0, 0, 1, 1, 0, 1, 1, 0, 1] keenest	1.9	0.83066	[3, 3, 1, 1, 3, 2, 2, 1, 2, 1] keening	-0.7	1.41774	[0, -3, -1, -1, -3, 1, -1, 1, 1, -1] keenly	1.0	0.7746	[2, 1, 1, 0, 1, 0, 2, 1, 2, 0] keenness	1.4	0.4899	[1, 1, 2, 2, 1, 1, 1, 2, 2, 1] keens	0.1	1.22066	[1, -3, 0, 0, 0, 2, 1, 0, 0, 0] kewl	1.3	0.45826	[2, 1, 1, 1, 2, 1, 2, 1, 1, 1] kidding	0.4	0.8	[0, 1, 0, -1, 1, 1, 1, 1, -1, 1] kill	-3.7	0.45826	[-4, -4, -4, -4, -3, -4, -4, -4, -3, -3] killdeer	-1.1	1.04403	[-3, 0, 0, -1, -2, 0, -1, -2, -2, 0] killdeers	-0.1	0.3	[0, 0, 0, 0, 0, 0, 0, 0, 0, -1] killdees	-0.6	0.66332	[-2, 0, 0, 0, -1, 0, -1, -1, -1, 0] killed	-3.5	0.67082	[-3, -3, -2, -4, -4, -4, -3, -4, -4, -4] killer	-3.3	0.64031	[-4, -4, -3, -3, -4, -4, -3, -3, -2, -3] killers	-3.3	0.45826	[-3, -3, -4, -3, -3, -3, -4, -3, -4, -3] killick	0.1	0.3	[0, 1, 0, 0, 0, 0, 0, 0, 0, 0] killie	-0.1	0.3	[0, 0, 0, 0, 0, 0, 0, 0, 0, -1] killifish	-0.1	0.7	[0, 0, 0, 0, -2, 0, 0, 0, 1, 0] killifishes	-0.1	0.3	[0, -1, 0, 0, 0, 0, 0, 0, 0, 0] killing	-3.4	1.2	[-4, 0, -4, -4, -4, -3, -4, -3, -4, -4] killingly	-2.6	1.0198	[-3, -2, -4, -2, -1, -3, -4, -3, -3, -1] killings	-3.5	0.67082	[-4, -3, -4, -4, -2, -3, -4, -4, -3, -4] killjoy	-2.1	0.83066	[-1, -2, -3, -2, -1, -3, -2, -1, -3, -3] killjoys	-1.7	0.9	[-1, -3, -3, -1, -2, -1, -2, 0, -2, -2] killock	-0.3	0.64031	[0, 0, 0, 0, -2, 0, 0, 0, -1, 0] killocks	-0.4	0.66332	[0, 0, 0, -2, -1, 0, -1, 0, 0, 0] kills	-2.5	0.92195	[-2, -3, -2, -3, -4, -1, -3, -3, -1, -3] kind	2.4	0.66332	[2, 2, 3, 3, 2, 3, 3, 2, 1, 3] kinder	2.2	0.6	[3, 3, 3, 2, 2, 2, 2, 1, 2, 2] kindly	2.2	0.4	[2, 2, 2, 3, 2, 2, 2, 2, 2, 3] kindness	2.0	0.63246	[2, 1, 3, 3, 2, 1, 2, 2, 2, 2] kindnesses	2.3	0.64031	[3, 1, 3, 2, 3, 2, 3, 2, 2, 2] kiss	1.8	1.6	[4, 0, 3, 3, 2, 0, 4, 2, 0, 0] kissable	2.0	0.89443	[2, 2, 2, 2, 4, 2, 3, 1, 1, 1] kissably	1.9	1.04403	[1, 3, 4, 1, 2, 1, 3, 2, 1, 1] kissed	1.6	1.11355	[2, 4, 1, 1, 1, 2, 3, 0, 1, 1] kisser	1.7	1.34536	[2, 4, 1, 2, -1, 2, 3, 0, 2, 2] kissers	1.5	0.80623	[1, 1, 1, 0, 2, 2, 3, 2, 1, 2] kisses	2.3	0.9	[2, 4, 2, 2, 1, 2, 4, 2, 2, 2] kissing	2.7	0.78102	[3, 3, 4, 1, 3, 2, 2, 3, 3, 3] kissy	1.8	0.6	[2, 2, 2, 3, 1, 1, 2, 2, 1, 2] kudos	2.3	0.64031	[2, 4, 2, 3, 2, 2, 2, 2, 2, 2] lack	-1.3	0.45826	[-1, -1, -1, -1, -2, -1, -2, -1, -1, -2] lackadaisical	-1.6	0.66332	[-1, -1, -2, -1, -2, -2, -3, -1, -2, -1] lag	-1.4	0.66332	[-1, -1, -1, -1, -1, -3, -1, -2, -2, -1] lagged	-1.2	0.6	[-2, -2, -1, -2, -1, -1, 0, -1, -1, -1] lagging	-1.1	0.83066	[-2, -2, -2, -1, 0, 0, -1, 0, -1, -2] lags	-1.5	0.67082	[-2, -1, -1, -2, -1, -3, -1, -2, -1, -1] laidback	0.5	1.28452	[1, -1, 1, -2, -1, 1, 2, 1, 1, 2] lame	-1.8	0.74833	[-1, -3, -1, -2, -2, -1, -2, -3, -1, -2] lamebrain	-1.6	0.91652	[-3, -2, -1, 0, -3, -1, -1, -2, -2, -1] lamebrained	-2.5	0.67082	[-3, -3, -2, -2, -2, -2, -4, -3, -2, -2] lamebrains	-1.2	1.46969	[-2, -1, -3, -1, 2, -2, 1, -2, -2, -2] lamedh	0.1	0.53852	[0, 0, 0, 0, 0, 1, 1, -1, 0, 0] lamella	-0.1	0.3	[0, -1, 0, 0, 0, 0, 0, 0, 0, 0] lamellae	-0.1	0.3	[0, 0, 0, 0, 0, 0, -1, 0, 0, 0] lamellas	0.1	0.53852	[0, 0, 0, 0, 0, 1, 0, 1, 0, -1] lamellibranch	0.2	0.4	[0, 0, 0, 0, 0, 1, 0, 1, 0, 0] lamellibranchs	-0.1	0.3	[0, 0, -1, 0, 0, 0, 0, 0, 0, 0] lamely	-2.0	0.89443	[-2, -3, 0, -1, -2, -3, -2, -3, -2, -2] lameness	-0.8	1.07703	[-2, -2, -1, -1, -1, 0, 2, -1, -1, -1] lament	-2.0	1.26491	[-3, -3, 1, -1, -2, -2, -1, -3, -3, -3] lamentable	-1.5	1.0247	[-2, 0, -2, -1, 0, -2, -3, -1, -1, -3] lamentableness	-1.3	0.64031	[-2, -1, -1, 0, -2, -1, -1, -1, -2, -2] lamentably	-1.5	0.80623	[-2, 0, -3, -1, -1, -2, -2, -1, -1, -2] lamentation	-1.4	1.49666	[-3, -2, 0, -3, -1, -1, 2, -2, -1, -3] lamentations	-1.9	1.44568	[-2, -2, -2, -3, 2, -1, -3, -3, -2, -3] lamented	-1.4	0.91652	[-1, 0, -1, -2, -2, -1, -2, -3, -2, 0] lamenter	-1.2	0.87178	[-1, 0, -1, -1, -1, -1, -2, -3, -2, 0] lamenters	-0.5	0.67082	[-1, 0, 0, -1, -1, 0, 0, 0, -2, 0] lamenting	-2.0	1.09545	[0, -2, -1, -4, -1, -3, -2, -2, -3, -2] laments	-1.5	0.80623	[-1, -3, 0, -1, -2, -1, -2, -2, -2, -1] lamer	-1.4	0.4899	[-2, -1, -1, -2, -1, -1, -1, -2, -2, -1] lames	-1.2	0.6	[-2, -1, -1, -2, 0, -1, -1, -2, -1, -1] lamest	-1.5	1.28452	[-3, -2, -1, -4, 1, -1, -1, -1, -1, -2] landmark	0.3	0.64031	[2, 0, 0, 0, 0, 0, 0, 0, 1, 0] laugh	2.6	0.66332	[3, 2, 3, 1, 3, 3, 3, 3, 2, 3] laughable	0.2	1.72047	[-2, -1, 3, -1, 2, 2, -1, -1, -1, 2] laughableness	1.2	1.6	[2, 0, 3, 2, 2, 1, 3, -2, 2, -1] laughably	1.2	1.249	[2, 1, 2, 1, 1, 1, 2, 3, -2, 1] laughed	2.0	0.63246	[2, 2, 3, 1, 2, 1, 2, 2, 3, 2] laugher	1.7	0.45826	[2, 2, 1, 1, 2, 1, 2, 2, 2, 2] laughers	1.7	0.9	[1, 2, 4, 1, 2, 1, 2, 1, 1, 2] laughing	2.2	0.87178	[2, 4, 1, 1, 3, 2, 2, 2, 2, 3] laughingly	2.3	1.1	[2, 4, 0, 2, 3, 1, 3, 2, 3, 3] laughings	1.9	0.7	[2, 1, 1, 1, 2, 3, 2, 2, 3, 2] laughingstocks	-1.3	1.26886	[-3, -2, 1, -2, -1, -1, 1, -2, -2, -2] laughs	2.2	0.6	[1, 2, 2, 3, 3, 2, 3, 2, 2, 2] laughter	2.2	0.6	[2, 3, 2, 2, 2, 2, 3, 1, 3, 2] laughters	2.2	0.6	[3, 1, 2, 2, 2, 3, 3, 2, 2, 2] launched	0.5	0.80623	[2, 0, 0, 0, 0, 0, 0, 1, 2, 0] lawl	1.4	1.42829	[0, 2, 2, 1, 3, -2, 3, 1, 2, 2] lawsuit	-0.9	1.22066	[-2, -2, -1, -3, -1, 1, 0, 1, -1, -1] lawsuits	-0.6	1.68523	[-2, -1, 0, 3, 2, -1, -1, -2, -2, -2] lazier	-2.3	0.64031	[-3, -2, -3, -2, -1, -2, -2, -3, -2, -3] laziest	-2.7	0.64031	[-2, -2, -3, -4, -3, -3, -2, -2, -3, -3] lazy	-1.5	1.36015	[-3, -1, -3, -2, 2, -1, -1, -2, -2, -2] leak	-1.4	0.66332	[-1, -2, -1, -1, -1, -1, -1, -2, -3, -1] leaked	-1.3	0.78102	[-2, -2, -1, -3, -1, 0, -1, -1, -1, -1] leave	-0.2	0.9798	[1, -1, -1, 0, 0, -1, 2, -1, 0, -1] leet	1.3	1.48661	[2, 4, 2, 2, 0, 1, -2, 2, 1, 1] legal	0.5	0.80623	[0, 0, 0, 2, 0, 1, 0, 0, 2, 0] legally	0.4	0.8	[1, 0, 0, 0, 1, 0, 2, 1, 0, -1] lenient	1.1	1.04403	[1, 3, 1, 2, 1, 1, 2, -1, 0, 1] lethargic	-1.2	0.74833	[-2, -1, -2, -2, 0, -1, -1, -2, 0, -1] lethargy	-1.4	0.91652	[-1, 0, -2, -1, -2, 0, -2, -1, -3, -2] liabilities	-0.8	0.9798	[-1, 2, -1, -1, -1, -1, -1, -1, -2, -1] liability	-0.8	1.83303	[-2, -3, -1, -1, 3, -3, -1, -1, 2, -1] liar	-2.3	0.78102	[-1, -2, -3, -3, -2, -2, -3, -1, -3, -3] liards	-0.4	0.91652	[-2, 0, -1, 0, 0, 1, 0, 0, -2, 0] liars	-2.4	0.66332	[-3, -2, -2, -3, -2, -1, -3, -3, -2, -3] libelous	-2.1	1.3	[-3, -1, -1, -2, 1, -3, -3, -3, -3, -3] libertarian	0.9	0.9434	[1, 2, 0, 1, 0, 0, 0, 3, 1, 1] libertarianism	0.4	0.8	[0, 0, 2, 0, 2, 0, 0, 0, 0, 0] libertarianisms	0.1	1.13578	[0, 0, 0, 2, 2, 0, -2, 0, -1, 0] libertarians	0.1	0.83066	[0, 0, 1, 0, 0, -1, -1, 0, 2, 0] liberties	2.3	0.78102	[2, 4, 3, 2, 2, 1, 2, 3, 2, 2] libertinage	0.2	1.53623	[-1, -1, 0, 0, 4, 0, -2, 1, 1, 0] libertine	-0.9	1.44568	[0, -1, 0, 0, -1, -3, 2, -2, -1, -3] libertines	0.4	1.35647	[-1, 3, -1, -1, 1, 1, 1, 2, 0, -1] libertinisms	1.2	1.249	[0, 0, 3, 1, 1, 1, 4, 0, 1, 1] liberty	2.4	0.91652	[2, 2, 3, 3, 3, 3, 2, 4, 1, 1] lied	-1.6	1.2	[-3, 0, -3, 1, -2, -1, -2, -2, -2, -2] lies	-1.8	0.9798	[-1, -1, -1, 0, -2, -3, -3, -2, -3, -2] lifesaver	2.8	0.74833	[3, 3, 4, 2, 3, 1, 3, 3, 3, 3] lighthearted	1.8	0.4	[2, 2, 2, 2, 1, 2, 2, 1, 2, 2] like	1.5	0.67082	[1, 2, 2, 2, 1, 3, 1, 1, 1, 1] likeable	2.0	0.63246	[1, 3, 2, 2, 2, 3, 2, 1, 2, 2] liked	1.8	0.6	[2, 2, 1, 2, 2, 1, 3, 1, 2, 2] likes	1.8	0.6	[2, 2, 1, 2, 2, 2, 3, 1, 1, 2] liking	1.7	0.78102	[3, 1, 2, 1, 1, 2, 3, 1, 2, 1] limitation	-1.2	0.6	[-2, -1, 0, -1, -1, -2, -1, -2, -1, -1] limited	-0.9	0.53852	[-1, -1, 0, -2, -1, 0, -1, -1, -1, -1] litigation	-0.8	0.6	[0, -2, -1, 0, -1, -1, -1, -1, 0, -1] litigious	-0.8	0.9798	[-2, -1, 0, -2, 0, -2, 1, -1, 0, -1] livelier	1.7	0.78102	[2, 2, 1, 3, 1, 3, 2, 1, 1, 1] liveliest	2.1	0.9434	[2, 1, 2, 3, 1, 1, 2, 4, 3, 2] livelihood	0.8	1.07703	[0, 3, 1, 0, 2, 2, 0, 0, 0, 0] livelihoods	0.9	1.13578	[0, 0, 0, 3, 2, 2, 0, 2, 0, 0] livelily	1.8	0.6	[2, 2, 2, 3, 1, 2, 1, 2, 2, 1] liveliness	1.6	0.8	[1, 3, 0, 2, 2, 2, 2, 2, 1, 1] livelong	1.7	0.78102	[3, 0, 1, 1, 2, 2, 2, 2, 2, 2] lively	1.9	0.7	[2, 2, 3, 1, 1, 2, 3, 1, 2, 2] livid	-2.5	0.92195	[-2, -3, -1, -2, -4, -3, -1, -3, -3, -3] lmao	2.9	0.9434	[3, 4, 3, 1, 2, 4, 3, 3, 2, 4] loathe	-2.2	2.08806	[-1, -4, -3, -2, -4, 2, 1, -3, -4, -4] loathed	-2.1	1.44568	[-4, -3, -3, -3, -1, 1, -1, -1, -3, -3] loathes	-1.9	1.13578	[-1, -4, -1, -3, -3, -1, -1, -3, -1, -1] loathing	-2.7	0.78102	[-3, -3, -3, -1, -4, -2, -3, -3, -2, -3] lobby	0.1	0.53852	[0, 0, 0, 1, 0, 1, 0, -1, 0, 0] lobbying	-0.3	0.45826	[0, -1, 0, 0, 0, 0, 0, -1, -1, 0] lol	1.8	1.46969	[1, 3, 4, 1, 2, 4, 1, 2, -1, 1] lone	-1.1	0.3	[-1, -1, -1, -1, -1, -1, -2, -1, -1, -1] lonelier	-1.4	0.66332	[-2, -1, -2, -2, 0, -2, -1, -1, -1, -2] loneliest	-2.4	0.8	[-3, -1, -2, -4, -2, -2, -3, -3, -2, -2] loneliness	-1.8	0.6	[-2, -2, -1, -3, -2, -2, -1, -2, -1, -2] lonelinesses	-1.5	1.36015	[-2, -2, -1, -1, 2, -1, -3, -2, -3, -2] lonely	-1.5	0.5	[-1, -2, -2, -1, -1, -1, -1, -2, -2, -2] loneness	-1.1	0.83066	[-1, -2, -1, -2, -1, -1, -2, 1, -1, -1] loner	-1.3	0.45826	[-1, -2, -1, -1, -1, -1, -1, -2, -2, -1] loners	-0.9	0.53852	[-1, -1, -2, -1, -1, -1, 0, 0, -1, -1] lonesome	-1.5	0.67082	[-2, -1, -2, -1, -2, -1, -2, 0, -2, -2] lonesomely	-1.3	1.00499	[-2, -2, -2, -2, -1, -2, 0, -2, -1, 1] lonesomeness	-1.8	0.6	[-2, -2, -1, -3, -1, -2, -2, -2, -1, -2] lonesomes	-1.4	0.4899	[-2, -1, -1, -1, -1, -1, -2, -2, -2, -1] longing	-0.1	0.9434	[0, -1, 0, -1, -1, 0, 2, -1, 1, 0] longingly	0.7	0.45826	[1, 0, 1, 0, 1, 1, 1, 0, 1, 1] longings	0.4	1.2	[2, 0, -1, -1, 0, 1, 3, 0, 0, 0] loom	-0.9	0.53852	[-1, -1, -1, -1, -1, -2, 0, -1, -1, 0] loomed	-1.1	1.04403	[-2, -2, -1, -1, -1, -1, 0, -1, -3, 1] looming	-0.5	1.5	[-2, -1, -1, 0, -2, -2, 3, -1, 0, 1] looms	-0.6	1.0198	[-1, -2, -1, -1, 0, 0, 1, -2, 1, -1] loose	-1.3	1.18743	[-2, -1, 0, -2, 0, -1, 0, -2, -4, -1] looses	-0.6	0.91652	[0, -1, 0, -1, 0, 0, 0, 0, -3, -1] lose	-1.7	0.45826	[-1, -2, -1, -2, -1, -2, -2, -2, -2, -2] loser	-2.4	0.66332	[-3, -2, -2, -2, -2, -3, -3, -1, -3, -3] losers	-2.4	0.8	[-3, -1, -2, -2, -4, -2, -3, -3, -2, -2] loses	-1.3	1.00499	[0, -1, -1, -1, -1, -4, -1, -1, -2, -1] losing	-1.6	0.8	[-1, -1, -1, -2, -1, -2, -3, -3, -1, -1] loss	-1.3	0.45826	[-1, -2, -1, -1, -1, -2, -2, -1, -1, -1] losses	-1.7	0.9	[-2, -1, -2, -3, 0, -1, -3, -1, -2, -2] lossy	-1.2	0.87178	[-2, -2, -1, -2, 0, 0, 0, -1, -2, -2] lost	-1.3	0.45826	[-1, -1, -2, -1, -1, -2, -2, -1, -1, -1] louse	-1.6	1.2	[-1, -1, -3, -4, 0, -3, -1, -1, -1, -1] loused	-1.0	0.7746	[-1, -1, -1, -1, 0, 0, -2, 0, -2, -2] louses	-1.3	0.78102	[-2, -1, -2, -1, -1, 0, -2, 0, -2, -2] lousewort	0.1	1.3	[-2, -2, 1, 0, 0, 0, 0, 2, 2, 0] louseworts	-0.6	0.66332	[0, 0, 0, -2, 0, -1, 0, -1, -1, -1] lousier	-2.2	0.4	[-2, -3, -2, -2, -3, -2, -2, -2, -2, -2] lousiest	-2.6	0.8	[-4, -2, -3, -3, -1, -2, -3, -3, -2, -3] lousily	-1.2	0.9798	[-1, -1, -2, -2, -2, -2, 0, -1, 1, -2] lousiness	-1.7	0.64031	[-2, -2, -1, -1, -2, -2, -3, -2, -1, -1] lousing	-1.1	0.9434	[-3, 0, 0, 0, -1, -2, -1, -2, -1, -1] lousy	-2.5	0.67082	[-2, -4, -2, -3, -2, -3, -2, -2, -3, -2] lovable	3.0	0.63246	[3, 3, 3, 4, 3, 2, 3, 3, 2, 4] love	3.2	0.4	[3, 3, 3, 3, 3, 3, 3, 4, 4, 3] loved	2.9	0.7	[3, 3, 4, 2, 2, 4, 3, 2, 3, 3] lovelies	2.2	0.74833	[3, 3, 3, 1, 2, 2, 3, 2, 1, 2] lovely	2.8	0.6	[2, 3, 3, 3, 2, 3, 4, 3, 2, 3] lover	2.8	0.87178	[3, 1, 2, 3, 4, 3, 2, 3, 4, 3] loverly	2.8	0.74833	[3, 2, 4, 3, 3, 2, 3, 2, 2, 4] lovers	2.4	1.11355	[2, 3, 2, 4, 4, 1, 1, 3, 3, 1] loves	2.7	0.9	[3, 3, 3, 2, 2, 4, 4, 2, 1, 3] loving	2.9	0.53852	[3, 2, 3, 3, 3, 2, 4, 3, 3, 3] lovingly	3.2	0.6	[3, 3, 3, 4, 4, 4, 2, 3, 3, 3] lovingness	2.7	1.67631	[4, 4, 3, 3, 2, 3, -2, 4, 3, 3] low	-1.1	0.53852	[-1, -1, -1, -1, -1, -2, -1, -2, 0, -1] lowball	-0.8	0.87178	[-1, -2, 0, -2, -1, -1, 0, 1, -1, -1] lowballed	-1.5	0.67082	[-2, 0, -1, -1, -2, -2, -1, -2, -2, -2] lowballing	-0.7	0.78102	[-2, -1, -1, 1, 0, -1, -1, 0, -1, -1] lowballs	-1.2	0.74833	[-1, -1, -1, -1, -3, -1, -2, 0, -1, -1] lowborn	-0.7	1.1	[-1, 0, -1, 0, -2, -1, -2, -1, -1, 2] lowboys	-0.6	1.0198	[-1, 0, 0, 0, -3, -1, 1, 0, -1, -1] lowbred	-2.6	1.0198	[-2, -1, -2, -4, -2, -2, -4, -4, -3, -2] lowbrow	-1.9	0.7	[-1, -3, -1, -2, -2, -2, -1, -3, -2, -2] lowbrows	-0.6	0.66332	[0, 0, -1, 0, -2, -1, -1, 0, 0, -1] lowdown	-0.8	0.9798	[-1, -1, 0, 0, 0, -2, -3, 0, -1, 0] lowdowns	-0.2	0.4	[0, 0, 0, -1, 0, 0, 0, 0, -1, 0] lowe	0.5	0.80623	[0, 0, 0, 0, 0, 1, 0, 0, 2, 2] lowed	-0.8	0.6	[0, -1, -1, -2, -1, 0, -1, 0, -1, -1] lower	-1.2	0.87178	[0, -2, -1, -1, -2, 0, -2, 0, -2, -2] lowercase	0.3	0.45826	[0, 0, 0, 0, 1, 0, 1, 0, 1, 0] lowercased	-0.2	0.4	[0, -1, 0, 0, 0, 0, -1, 0, 0, 0] lowerclassman	-0.4	0.4899	[0, -1, -1, -1, 0, 0, 0, 0, 0, -1] lowered	-0.5	1.11803	[-1, -1, -2, -1, -1, 2, -1, -1, 1, 0] lowering	-1.0	0.7746	[0, -1, -1, -1, -1, 0, -3, -1, -1, -1] lowermost	-1.4	1.11355	[-1, -1, -3, -1, -1, -1, -2, -3, 1, -2] lowers	-0.5	0.5	[-1, -1, 0, -1, 0, 0, 0, -1, -1, 0] lowery	-1.8	0.87178	[-1, -1, -2, -3, -1, -2, -3, -3, -1, -1] lowest	-1.6	0.4899	[-2, -2, -2, -2, -1, -2, -1, -1, -1, -2] lowing	-0.5	0.67082	[0, 0, 0, -1, 0, 0, -1, -2, -1, 0] lowish	-0.9	0.53852	[-2, -1, -1, 0, -1, 0, -1, -1, -1, -1] lowland	-0.1	0.3	[0, 0, -1, 0, 0, 0, 0, 0, 0, 0] lowlander	-0.4	0.66332	[0, 0, 0, 0, 0, 0, -1, -1, -2, 0] lowlanders	-0.3	0.64031	[0, 0, 0, -2, 0, -1, 0, 0, 0, 0] lowlands	-0.1	0.7	[0, -1, -1, 0, -1, 1, 0, 1, 0, 0] lowlier	-1.7	0.78102	[-2, -2, -2, -3, -1, -2, -2, -1, 0, -2] lowliest	-1.8	1.6	[-1, -3, -3, -4, -2, -1, -1, 0, 1, -4] lowlife	-1.5	0.67082	[-2, -2, -2, -1, -1, -2, -1, 0, -2, -2] lowlifes	-2.2	1.249	[-3, -2, -3, -4, -2, 1, -2, -3, -2, -2] lowlight	-2.0	1.26491	[-3, -2, -1, -3, 1, -2, -1, -3, -3, -3] lowlights	-0.3	0.78102	[0, 0, -1, 1, -2, -1, 0, 0, 0, 0] lowlihead	-0.3	1.34536	[-1, -1, 1, -3, 0, 0, 1, -1, 2, -1] lowliness	-1.1	0.53852	[-1, -2, -1, -2, -1, -1, -1, 0, -1, -1] lowlinesses	-1.2	1.07703	[-3, -1, -2, -2, 0, -1, -1, -1, -2, 1] lowlives	-2.1	0.7	[-2, -3, -3, -2, -1, -2, -3, -2, -1, -2] lowly	-1.0	1.34164	[-1, -2, -1, -2, 2, -2, -1, 1, -2, -2] lown	0.9	1.13578	[2, 2, 1, -1, 0, 1, 2, -1, 1, 2] lowness	-1.3	0.45826	[-1, -2, -2, -1, -1, -2, -1, -1, -1, -1] lowrider	-0.2	0.4	[0, 0, 0, -1, -1, 0, 0, 0, 0, 0] lowriders	0.1	0.53852	[0, 0, 0, 0, 1, 0, -1, 0, 1, 0] lows	-0.8	0.9798	[0, -1, -1, -1, 0, 1, -3, -1, -1, -1] lowse	-0.7	0.78102	[0, -1, 1, -1, -1, -1, 0, -1, -2, -1] loyal	2.1	0.7	[3, 2, 1, 1, 2, 2, 3, 2, 3, 2] loyalism	1.0	0.89443	[1, 2, 1, -1, 0, 1, 2, 1, 1, 2] loyalisms	0.9	0.83066	[2, 0, 0, 1, 1, 0, 2, 2, 1, 0] loyalist	1.5	0.92195	[1, 0, 2, 2, 3, 0, 2, 2, 1, 2] loyalists	1.1	0.83066	[1, 1, 1, 3, 0, 2, 1, 0, 1, 1] loyally	2.1	0.7	[3, 2, 2, 2, 1, 3, 1, 2, 3, 2] loyalties	1.9	0.7	[3, 1, 2, 2, 2, 3, 2, 1, 1, 2] loyalty	2.5	0.67082	[1, 3, 3, 3, 3, 2, 2, 2, 3, 3] luck	2.0	0.63246	[2, 2, 1, 3, 3, 2, 1, 2, 2, 2] lucked	1.9	0.7	[2, 2, 2, 1, 1, 2, 3, 3, 1, 2] luckie	1.6	0.66332	[1, 1, 1, 2, 2, 1, 1, 2, 2, 3] luckier	1.9	0.7	[1, 3, 1, 2, 2, 1, 2, 3, 2, 2] luckiest	2.9	0.7	[3, 3, 4, 2, 2, 4, 3, 3, 2, 3] luckily	2.3	0.45826	[2, 2, 3, 2, 2, 3, 2, 2, 2, 3] luckiness	1.0	1.61245	[2, 2, 1, -2, 3, 1, 1, 2, 2, -2] lucking	1.2	0.6	[2, 1, 1, 0, 1, 1, 1, 2, 2, 1] luckless	-1.3	0.45826	[-2, -1, -2, -1, -1, -1, -2, -1, -1, -1] lucks	1.6	0.91652	[0, 3, 1, 1, 3, 2, 2, 1, 2, 1] lucky	1.8	0.74833	[2, 1, 1, 1, 3, 2, 1, 2, 2, 3] ludicrous	-1.5	1.36015	[2, -2, -2, -1, -1, -1, -3, -3, -2, -2] ludicrously	-0.2	1.83303	[3, -1, 0, -2, -1, 0, 3, -3, -1, 0] ludicrousness	-1.9	1.57797	[-1, 2, -2, -3, -2, -2, -3, -4, -1, -3] lugubrious	-2.1	1.37477	[-3, -2, -3, -3, -3, 1, -2, -3, 0, -3] lulz	2.0	1.0	[2, 2, 2, 3, 4, 1, 3, 1, 1, 1] lunatic	-2.2	1.32665	[-2, -3, -4, -2, -3, -2, -1, -3, 1, -3] lunatics	-1.6	1.95959	[-4, -2, -3, -4, -2, 2, -1, -3, 1, 0] lurk	-0.8	0.87178	[-1, -1, 0, -3, -1, 0, -1, 0, -1, 0] lurking	-0.5	1.11803	[1, -1, -1, 0, -1, -2, 1, -2, 1, -1] lurks	-0.9	1.04403	[-1, -1, -1, -2, -2, -1, -1, -1, 2, -1] lying	-2.4	0.8	[-2, -4, -3, -1, -2, -2, -3, -2, -2, -3] mad	-2.2	0.74833	[-3, -3, -1, -1, -2, -3, -2, -2, -3, -2] maddening	-2.2	0.74833	[-3, -3, -1, -1, -3, -2, -2, -3, -2, -2] madder	-1.2	1.16619	[-2, 0, -3, 0, 0, -1, -3, -1, -2, 0] maddest	-2.8	1.16619	[-4, -4, -4, -4, -1, -3, -2, -1, -2, -3] madly	-1.7	1.1	[-2, 0, -2, -2, -2, -1, -4, -2, 0, -2] madness	-1.9	0.53852	[-1, -2, -1, -3, -2, -2, -2, -2, -2, -2] magnific	2.3	1.1	[2, 2, 0, 2, 4, 4, 2, 2, 3, 2] magnifical	2.4	1.28062	[1, 4, 1, 2, 4, 3, 1, 1, 4, 3] magnifically	2.4	1.2	[3, 3, 3, 2, 4, 0, 1, 2, 2, 4] magnification	1.0	0.89443	[2, 3, 1, 0, 0, 1, 1, 1, 0, 1] magnifications	1.2	1.249	[-1, 0, 0, 2, 2, 2, 0, 2, 3, 2] magnificence	2.4	1.0198	[3, 2, 1, 3, 2, 1, 4, 4, 2, 2] magnificences	2.3	0.9	[3, 4, 3, 1, 3, 2, 1, 2, 2, 2] magnificent	2.9	0.7	[2, 4, 2, 4, 3, 3, 3, 3, 2, 3] magnificently	3.4	0.66332	[3, 3, 3, 4, 4, 2, 4, 4, 3, 4] magnifico	1.8	0.87178	[2, 1, 1, 2, 1, 1, 3, 3, 3, 1] magnificoes	1.4	0.8	[2, 2, 0, 2, 1, 1, 3, 1, 1, 1] mandatory	0.3	0.9	[1, 0, -1, 0, -1, 0, 1, 2, 0, 1] maniac	-2.1	0.7	[-1, -2, -2, -2, -3, -3, -1, -2, -2, -3] maniacal	-0.3	1.73494	[2, -1, -3, -3, 0, 2, -1, 1, 1, -1] maniacally	-1.7	0.78102	[-1, -2, -1, -2, -3, -2, -1, -3, -1, -1] maniacs	-1.2	1.8868	[-3, 1, -2, 1, -3, -2, 0, 2, -3, -3] manipulated	-1.6	0.4899	[-2, -1, -1, -2, -1, -2, -2, -1, -2, -2] manipulating	-1.5	0.80623	[-1, -1, -1, -2, -2, -1, -2, -2, -3, 0] manipulation	-1.2	1.72047	[2, -3, -2, -3, -1, -1, -2, 2, -2, -2] marvel	1.8	0.6	[2, 1, 1, 2, 1, 2, 3, 2, 2, 2] marvelous	2.9	0.7	[2, 2, 3, 2, 3, 3, 4, 3, 4, 3] marvels	2.0	0.89443	[3, 1, 1, 3, 1, 2, 1, 2, 3, 3] masochism	-1.6	1.11355	[-1, 0, -2, -2, -2, -2, 0, -4, -1, -2] masochisms	-1.1	1.57797	[3, -3, -2, -2, -1, -1, -2, -1, 0, -2] masochist	-1.7	0.9	[-1, 0, -3, -1, -2, -2, -2, -2, -1, -3] masochistic	-2.2	1.16619	[-1, -1, -1, -2, -3, -2, -4, -3, -4, -1] masochistically	-1.6	1.35647	[-1, -1, -3, -3, -3, -3, 0, -2, 1, -1] masochists	-1.2	1.07703	[1, -2, 0, -2, -3, -1, -2, -1, -1, -1] masterpiece	3.1	0.83066	[3, 4, 4, 4, 2, 2, 2, 4, 3, 3] masterpieces	2.5	0.67082	[2, 2, 3, 2, 2, 2, 4, 3, 3, 2] matter	0.1	0.3	[0, 0, 0, 0, 0, 0, 0, 1, 0, 0] matters	0.1	0.3	[0, 0, 0, 0, 1, 0, 0, 0, 0, 0] mature	1.8	0.4	[2, 2, 2, 2, 2, 1, 2, 2, 1, 2] meaningful	1.3	0.9	[0, 0, 2, 1, 1, 3, 1, 2, 2, 1] meaningless	-1.9	0.7	[-1, -2, -2, -2, -1, -1, -2, -3, -3, -2] medal	2.1	1.22066	[2, 4, 3, 1, 0, 2, 2, 2, 1, 4] mediocrity	-0.3	1.1	[-1, 0, -2, 0, -1, 2, -1, -1, 0, 1] meditative	1.4	0.66332	[2, 0, 1, 2, 2, 1, 2, 1, 2, 1] meh	-0.3	0.78102	[-1, 0, -1, 0, -1, -1, 1, 0, 1, -1] melancholia	-0.5	1.28452	[0, -2, -2, 0, 1, -1, 2, -2, 0, -1] melancholiac	-2.0	0.63246	[-2, -2, -3, -2, -2, -3, -1, -1, -2, -2] melancholias	-1.6	0.8	[-1, -2, -3, -2, 0, -2, -1, -1, -2, -2] melancholic	-0.3	1.18743	[0, 2, -2, 0, 1, -1, 0, -2, 0, -1] melancholics	-1.0	1.0	[0, -1, -3, 1, -1, -2, -1, -1, -1, -1] melancholies	-1.1	0.83066	[-1, 0, -1, 0, -3, -1, -2, -1, -1, -1] melancholy	-1.9	1.13578	[-3, -2, -3, -2, -3, -2, -2, 1, -1, -2] menace	-2.2	0.87178	[-3, -3, -2, -1, -1, -2, -3, -1, -3, -3] menaced	-1.7	1.48661	[-3, -2, -2, -3, -3, -1, 1, -3, 1, -2] mercy	1.5	0.67082	[1, 2, 1, 1, 1, 3, 2, 2, 1, 1] merit	1.8	0.74833	[2, 2, 2, 2, 0, 2, 3, 2, 2, 1] merited	1.4	0.4899	[1, 2, 2, 1, 1, 1, 2, 1, 2, 1] meriting	1.1	1.13578	[1, 2, 1, -2, 1, 1, 2, 2, 1, 2] meritocracy	0.6	1.35647	[2, 4, 0, 0, 1, -1, 0, 0, 0, 0] meritocrat	0.4	0.8	[0, 0, 0, 1, -1, 0, 0, 1, 2, 1] meritocrats	1.1	1.13578	[2, 1, 1, 0, 0, 1, 1, 4, 0, 1] meritorious	2.1	0.53852	[3, 2, 2, 2, 2, 2, 2, 2, 3, 1] meritoriously	1.3	1.95192	[3, -1, 3, -2, 2, 0, -1, 3, 3, 3] meritoriousness	1.7	1.18743	[4, 1, 2, 1, 2, 0, 3, 2, 2, 0] merits	1.7	0.78102	[1, 3, 1, 1, 2, 2, 1, 1, 3, 2] merrier	1.7	1.41774	[3, 2, 2, 3, 2, 2, -1, -1, 3, 2] merriest	2.7	1.41774	[3, 4, 4, 4, 2, 3, -1, 2, 3, 3] merrily	2.4	0.66332	[3, 3, 2, 2, 2, 3, 2, 3, 1, 3] merriment	2.4	1.35647	[1, 3, 3, 4, 2, -1, 3, 3, 3, 3] merriments	2.0	0.89443	[2, 2, 3, 3, 0, 2, 2, 1, 2, 3] merriness	2.2	0.74833	[2, 1, 2, 3, 2, 2, 3, 3, 1, 3] merry	2.5	0.80623	[2, 4, 2, 2, 3, 3, 3, 3, 2, 1] merrymaker	2.2	1.4	[3, 1, 3, 3, 3, -1, 2, 1, 3, 4] merrymakers	1.7	1.34536	[1, 4, 1, 3, 1, 3, -1, 2, 1, 2] merrymaking	2.2	0.6	[3, 2, 2, 2, 2, 1, 3, 3, 2, 2] merrymakings	2.4	1.11355	[3, 3, 2, 3, 4, 2, 0, 3, 1, 3] merrythought	1.1	0.9434	[1, 1, 3, 0, 2, 0, 0, 1, 2, 1] merrythoughts	1.6	1.11355	[1, 3, 2, 1, 2, 1, 0, 3, 3, 0] mess	-1.5	0.92195	[-1, -3, -1, -1, -3, -1, -2, -1, 0, -2] messed	-1.4	0.8	[-2, -1, -1, -3, 0, -2, -2, -1, -1, -1] messy	-1.5	0.80623	[-1, -2, -2, -2, -1, -1, -2, 0, -1, -3] methodical	0.6	0.8	[0, 0, 0, 2, 2, 0, 1, 1, 0, 0] mindless	-1.9	0.7	[-2, -1, -2, -1, -1, -2, -3, -3, -2, -2] miracle	2.8	0.87178	[4, 4, 3, 2, 3, 4, 2, 2, 2, 2] mirth	2.6	0.66332	[3, 3, 3, 2, 3, 3, 3, 2, 1, 3] mirthful	2.7	0.45826	[3, 3, 3, 2, 3, 3, 3, 2, 3, 2] mirthfully	2.0	1.48324	[2, 3, 4, 3, 0, -1, 2, 1, 3, 3] misbehave	-1.9	0.7	[-3, -3, -1, -2, -2, -1, -1, -2, -2, -2] misbehaved	-1.6	0.4899	[-1, -2, -1, -2, -2, -2, -1, -2, -1, -2] misbehaves	-1.6	0.4899	[-1, -2, -2, -1, -2, -2, -1, -2, -1, -2] misbehaving	-1.7	0.64031	[-1, -2, -1, -2, -3, -2, -1, -2, -1, -2] mischief	-1.5	0.67082	[-2, -1, -1, -1, -1, -2, -3, -2, -1, -1] mischiefs	-0.8	1.72047	[-2, -1, -2, -2, 3, -1, -2, 2, -1, -2] miser	-1.8	0.87178	[-1, -2, 0, -3, -2, -2, -3, -2, -2, -1] miserable	-2.2	1.32665	[-2, -2, -3, -3, -4, -3, -1, -2, 1, -3] miserableness	-2.8	0.6	[-3, -3, -3, -3, -2, -2, -3, -4, -2, -3] miserably	-2.1	1.37477	[-2, -1, -3, -3, -4, -3, -1, -2, 1, -3] miserere	-0.8	1.07703	[-1, -1, 0, -3, 0, -1, 0, 1, -2, -1] misericorde	0.1	1.64012	[1, 1, -1, 2, 1, 2, -3, -1, -2, 1] misericordes	-0.5	1.36015	[0, 0, -1, 0, 0, 1, -3, 0, 1, -3] miseries	-2.7	0.78102	[-3, -4, -1, -2, -3, -3, -2, -3, -3, -3] miserliness	-2.6	1.0198	[-3, -1, -3, -2, -2, -1, -3, -4, -4, -3] miserly	-1.4	0.91652	[0, -2, -2, 0, -1, -2, -2, -1, -3, -1] misers	-1.5	0.92195	[0, -1, -1, -3, -1, -1, -2, -3, -2, -1] misery	-2.7	0.45826	[-2, -2, -3, -3, -2, -3, -3, -3, -3, -3] misgiving	-1.4	0.4899	[-2, -2, -2, -1, -1, -1, -2, -1, -1, -1] misinformation	-1.3	0.64031	[-1, -1, -1, -1, -1, -1, -2, -1, -1, -3] misinformed	-1.6	0.4899	[-1, -1, -1, -2, -2, -1, -2, -2, -2, -2] misinterpreted	-1.3	0.64031	[-1, -2, -1, 0, -2, -1, -1, -1, -2, -2] misleading	-1.7	0.64031	[-2, -1, -3, -1, -1, -2, -2, -2, -1, -2] misread	-1.1	0.3	[-1, -1, -1, -2, -1, -1, -1, -1, -1, -1] misreporting	-1.5	0.5	[-2, -1, -1, -1, -2, -1, -2, -2, -1, -2] misrepresentation	-2.0	0.63246	[-2, -3, -2, -1, -1, -3, -2, -2, -2, -2] miss	-0.6	1.35647	[-1, -1, -1, -1, -2, -1, 2, 2, -2, -1] missed	-1.2	0.74833	[-2, -1, 0, -1, -1, -1, -3, -1, -1, -1] misses	-0.9	0.3	[-1, -1, 0, -1, -1, -1, -1, -1, -1, -1] missing	-1.2	0.4	[-1, -2, -1, -1, -1, -1, -2, -1, -1, -1] mistakable	-0.8	0.4	[-1, -1, -1, -1, -1, -1, -1, 0, 0, -1] mistake	-1.4	0.4899	[-1, -2, -1, -1, -1, -1, -2, -2, -2, -1] mistaken	-1.5	0.67082	[-2, -1, -2, -2, -1, -1, -1, -3, -1, -1] mistakenly	-1.2	0.4	[-1, -1, -2, -1, -1, -1, -1, -2, -1, -1] mistaker	-1.6	0.4899	[-2, -1, -2, -1, -2, -2, -1, -2, -1, -2] mistakers	-1.6	0.8	[-3, -1, -1, -1, -3, -1, -1, -2, -2, -1] mistakes	-1.5	0.67082	[-2, -1, -2, -1, -3, -2, -1, -1, -1, -1] mistaking	-1.1	0.53852	[-1, -1, -1, -1, 0, -1, -1, -1, -2, -2] misunderstand	-1.5	0.67082	[-3, -2, -1, -1, -1, -1, -1, -2, -2, -1] misunderstanding	-1.8	0.6	[-1, -1, -1, -3, -2, -2, -2, -2, -2, -2] misunderstands	-1.3	0.45826	[-1, -2, -1, -2, -1, -1, -2, -1, -1, -1] misunderstood	-1.4	0.66332	[-1, -1, -1, -3, -1, -1, -2, -1, -2, -1] mlm	-1.4	1.68523	[0, -2, -2, -3, -4, -2, 0, 1, 1, -3] mmk	0.6	1.0198	[0, 0, 0, 0, 0, 3, 1, 0, 0, 2] moan	-0.6	1.62481	[-2, -1, 0, -3, 2, -2, 0, 0, -2, 2] moaned	-0.4	1.35647	[-2, 0, -3, 0, -1, -1, 2, 1, 0, 0] moaning	-0.4	1.28062	[-1, -1, 1, -1, 0, 0, 2, 0, -3, -1] moans	-0.6	0.8	[-2, 0, 0, -2, 0, -1, 0, 0, 0, -1] mock	-1.8	0.74833	[-3, -1, -1, -2, -2, -1, -3, -1, -2, -2] mocked	-1.3	1.26886	[-2, -2, -1, -2, -2, -3, -2, 1, 1, -1] mocker	-0.8	1.46969	[-1, -2, 2, -2, -2, -2, -2, 1, 1, -1] mockeries	-1.6	0.8	[-3, -1, -2, -2, -2, 0, -1, -2, -1, -2] mockers	-1.3	0.78102	[-2, -3, 0, -1, -1, -1, -2, -1, -1, -1] mockery	-1.3	0.45826	[-2, -1, -1, -1, -1, -1, -2, -2, -1, -1] mocking	-1.7	0.64031	[-2, -1, -1, -2, -1, -1, -3, -2, -2, -2] mocks	-2.0	0.63246	[-1, -3, -2, -2, -2, -2, -2, -1, -3, -2] molest	-2.1	1.81384	[-4, -1, -2, -4, -3, 1, -3, 1, -2, -4] molestation	-1.9	1.57797	[-2, -2, -3, -2, -3, -2, -4, 1, 1, -3] molestations	-2.9	1.04403	[-3, -4, -4, -4, -3, -2, -2, -1, -2, -4] molested	-1.9	1.92094	[-4, 1, -1, -4, -2, -1, -4, -4, 1, -1] molester	-2.3	1.61555	[-4, -2, -1, -4, -2, -1, -4, -4, 1, -2] molesters	-2.2	1.66132	[-2, -4, -3, -3, -3, 1, 1, -3, -3, -3] molesting	-2.8	1.72047	[-4, -4, -4, -4, -3, -4, -1, -1, 1, -4] molests	-3.1	1.13578	[-3, -4, -4, -4, -3, -4, 0, -3, -3, -3] mongering	-0.8	1.16619	[-3, -2, 0, 0, -1, 1, -2, 0, -1, 0] monopolize	-0.8	1.6	[-1, -3, -2, -2, 0, -1, -1, -2, 2, 2] monopolized	-0.9	0.53852	[0, -2, -1, 0, -1, -1, -1, -1, -1, -1] monopolizes	-1.1	0.83066	[0, -3, -1, 0, -1, -1, -2, -1, -1, -1] monopolizing	-0.5	1.56525	[2, -1, -2, -1, -3, -1, -1, 2, 1, -1] mooch	-1.7	0.9	[-1, -1, -1, -3, -1, -3, -3, -2, -1, -1] mooched	-1.4	0.4899	[-2, -1, -2, -1, -1, -2, -1, -1, -2, -1] moocher	-1.5	0.67082	[-2, -1, -2, -1, -1, -2, -1, -1, -3, -1] moochers	-1.9	0.7	[-3, -2, -2, -3, -1, -1, -1, -2, -2, -2] mooches	-1.4	0.66332	[-2, -1, -2, -1, 0, -2, -1, -1, -2, -2] mooching	-1.7	0.64031	[-3, -2, -1, -1, -2, -2, -1, -2, -1, -2] moodier	-1.1	1.13578	[-2, -1, -1, -1, -2, -1, -2, 2, -1, -2] moodiest	-2.1	0.9434	[-1, -2, -2, -2, -1, -2, -4, -3, -1, -3] moodily	-1.3	0.45826	[-1, -1, -1, -1, -1, -2, -2, -1, -2, -1] moodiness	-1.4	0.66332	[-2, -1, -2, -2, -1, 0, -2, -1, -1, -2] moodinesses	-1.4	0.4899	[-2, -1, -1, -2, -1, -1, -1, -2, -2, -1] moody	-1.5	0.67082	[-1, -1, -1, -2, -2, -3, -1, -1, -1, -2] mope	-1.9	0.53852	[-2, -2, -1, -2, -2, -2, -2, -3, -1, -2] moping	-1.0	1.48324	[-2, -2, -1, -1, 1, 2, -3, -2, 0, -2] moron	-2.2	0.6	[-2, -1, -2, -3, -3, -2, -2, -3, -2, -2] moronic	-2.7	0.64031	[-3, -3, -3, -3, -2, -4, -2, -3, -2, -2] moronically	-1.4	1.8	[-4, -2, -1, 2, -2, -2, -3, -3, 0, 1] moronity	-1.1	1.22066	[-2, -1, -2, -1, 0, -2, 2, -2, -2, -1] morons	-1.3	1.1	[-1, -1, -1, 0, -3, -2, 0, 0, -2, -3] motherfucker	-3.6	0.66332	[-3, -4, -4, -4, -4, -2, -4, -3, -4, -4] motherfucking	-2.8	1.249	[-3, -1, -4, 0, -3, -3, -4, -4, -3, -3] motivate	1.6	0.4899	[1, 1, 1, 1, 2, 2, 2, 2, 2, 2] motivated	2.0	0.63246	[3, 3, 1, 2, 1, 2, 2, 2, 2, 2] motivating	2.2	0.6	[2, 2, 3, 3, 3, 2, 2, 2, 1, 2] motivation	1.4	0.66332	[1, 1, 2, 0, 2, 1, 2, 1, 2, 2] mourn	-1.8	0.6	[-2, -2, -2, -2, -2, -1, -2, -3, -1, -1] mourned	-1.3	1.55242	[-1, -2, -3, -3, -2, -1, 1, -2, 2, -2] mourner	-1.6	1.35647	[-3, 0, -2, -1, -1, 0, -2, 0, -3, -4] mourners	-1.8	0.74833	[-1, -2, -3, -1, -2, -1, -2, -1, -2, -3] mournful	-1.6	1.62481	[-2, -3, -3, 2, -2, -3, -2, 1, -2, -2] mournfuller	-1.9	0.9434	[-2, -3, -3, -3, 0, -2, -1, -2, -2, -1] mournfully	-1.7	1.55242	[-4, -3, -2, -3, 1, -2, -2, -2, 1, -1] mournfulness	-1.8	1.4	[-4, -3, 1, -3, -1, -2, 0, -2, -2, -2] mourning	-1.9	1.04403	[-1, -1, -1, -1, -2, -3, -4, -3, -2, -1] mourningly	-2.3	1.18743	[-3, -3, -3, -3, -2, -3, -2, 1, -2, -3] mourns	-2.4	0.66332	[-2, -2, -3, -2, -3, -3, -3, -1, -2, -3] muah	2.3	1.26886	[0, 3, 1, 2, 3, 1, 4, 4, 3, 2] mumpish	-1.4	0.66332	[-1, -1, -2, -2, 0, -1, -2, -2, -1, -2] murder	-3.7	0.64031	[-4, -4, -4, -4, -2, -4, -4, -4, -3, -4] murdered	-3.4	0.66332	[-4, -3, -2, -3, -4, -4, -3, -3, -4, -4] murderee	-3.2	0.6	[-3, -3, -2, -3, -4, -4, -3, -3, -4, -3] murderees	-3.1	0.7	[-2, -4, -3, -4, -3, -2, -3, -3, -4, -3] murderer	-3.6	0.4899	[-4, -3, -3, -3, -4, -4, -4, -3, -4, -4] murderers	-3.3	0.78102	[-3, -4, -4, -4, -4, -2, -4, -3, -3, -2] murderess	-2.2	1.72047	[-2, -2, -3, -4, -3, -3, -4, 1, 1, -3] murderesses	-2.6	0.8	[-2, -4, -3, -4, -2, -2, -2, -2, -3, -2] murdering	-3.3	0.78102	[-4, -2, -4, -3, -4, -3, -2, -4, -4, -3] murderous	-3.2	0.74833	[-3, -3, -4, -3, -4, -4, -4, -2, -2, -3] murderously	-3.1	0.9434	[-3, -4, -4, -4, -3, -4, -1, -2, -3, -3] murderousness	-2.9	0.7	[-3, -3, -4, -2, -2, -2, -4, -3, -3, -3] murders	-3.0	1.84391	[-4, -4, -4, 2, -4, -2, -4, -4, -2, -4] n00b	-1.6	0.8	[-1, -3, -1, -2, -2, -2, -2, -2, -1, 0] nag	-1.5	0.80623	[-1, -1, -3, -1, -3, -2, -1, -1, -1, -1] nagana	-1.7	0.9	[-2, -2, 0, 0, -2, -3, -2, -2, -2, -2] nagged	-1.7	0.45826	[-2, -1, -2, -1, -2, -2, -1, -2, -2, -2] nagger	-1.8	0.4	[-2, -1, -2, -2, -2, -2, -1, -2, -2, -2] naggers	-1.5	0.67082	[-1, -1, -2, -2, -2, -1, -1, -3, -1, -1] naggier	-1.4	1.11355	[-2, -3, -2, -2, 1, -1, -2, -1, 0, -2] naggiest	-2.4	0.91652	[-3, -2, -2, -1, -4, -2, -3, -3, -3, -1] nagging	-1.7	0.64031	[-1, -1, -1, -1, -2, -2, -2, -2, -3, -2] naggingly	-0.9	1.37477	[-2, 2, -1, -1, -1, -3, 1, -1, -1, -2] naggy	-1.7	0.64031	[-2, -2, -1, -1, -3, -2, -1, -2, -1, -2] nags	-1.1	0.53852	[-1, -1, -2, -1, -1, -2, -1, -1, 0, -1] nah	-0.4	1.28062	[0, 0, 1, -1, -3, -1, 0, 2, -1, -1] naive	-1.1	1.22066	[-2, -2, -1, 2, -1, -1, -1, -3, -1, -1] nastic	0.2	0.6	[2, 0, 0, 0, 0, 0, 0, 0, 0, 0] nastier	-2.3	0.45826	[-2, -2, -2, -3, -3, -2, -3, -2, -2, -2] nasties	-2.1	0.3	[-2, -2, -2, -2, -3, -2, -2, -2, -2, -2] nastiest	-2.4	1.85472	[-4, -4, -4, -2, -3, -2, 1, 1, -3, -4] nastily	-1.9	0.7	[-2, -3, -1, -2, -2, -3, -1, -1, -2, -2] nastiness	-1.1	1.44568	[-2, -2, -3, -2, 1, -1, -1, -1, 2, -2] nastinesses	-2.6	0.66332	[-2, -3, -3, -2, -3, -3, -3, -1, -3, -3] nasturtium	0.4	0.66332	[0, 0, 0, 0, 0, 1, 1, 0, 2, 0] nasturtiums	0.1	0.3	[0, 0, 0, 0, 0, 0, 1, 0, 0, 0] nasty	-2.6	1.0198	[-3, -1, -2, -4, -3, -3, -1, -2, -4, -3] natural	1.5	1.0247	[2, 0, 0, 1, 1, 3, 2, 2, 3, 1] neat	2.0	0.89443	[2, 1, 1, 2, 3, 1, 2, 2, 2, 4] neaten	1.2	0.4	[1, 1, 1, 1, 1, 2, 2, 1, 1, 1] neatened	2.0	1.09545	[0, 2, 1, 3, 1, 2, 4, 3, 2, 2] neatening	1.3	0.45826	[1, 1, 1, 1, 2, 2, 2, 1, 1, 1] neatens	1.1	0.83066	[0, 1, 0, 1, 1, 1, 1, 3, 2, 1] neater	1.0	0.44721	[1, 1, 1, 1, 1, 1, 2, 0, 1, 1] neatest	1.7	0.64031	[1, 2, 2, 1, 2, 2, 1, 2, 1, 3] neath	0.2	0.9798	[0, 0, -2, 0, 0, 2, 0, 1, 1, 0] neatherd	-0.4	0.8	[0, 0, 0, -2, 0, -1, 1, -1, -1, 0] neatly	1.4	0.66332	[2, 1, 1, 2, 2, 2, 0, 1, 1, 2] neatness	1.3	0.64031	[2, 1, 1, 0, 1, 1, 2, 2, 2, 1] neats	1.1	0.53852	[2, 1, 2, 1, 0, 1, 1, 1, 1, 1] needy	-1.4	0.4899	[-1, -2, -2, -2, -1, -1, -1, -1, -2, -1] negative	-2.7	0.9	[-1, -3, -3, -2, -4, -2, -2, -4, -3, -3] negativity	-2.3	0.45826	[-2, -2, -2, -2, -3, -2, -3, -3, -2, -2] neglect	-2.0	0.63246	[-2, -2, -1, -1, -3, -2, -3, -2, -2, -2] neglected	-2.4	1.0198	[-1, -2, -4, -3, -2, -2, -1, -4, -3, -2] neglecter	-1.7	0.64031	[-2, -2, -1, -1, -1, -3, -2, -2, -1, -2] neglecters	-1.5	0.67082	[-2, -1, -1, -1, -2, -1, -1, -2, -3, -1] neglectful	-2.0	0.63246	[-3, -3, -1, -2, -2, -2, -1, -2, -2, -2] neglectfully	-2.1	0.9434	[-1, -3, -3, -1, -1, -2, -2, -2, -4, -2] neglectfulness	-2.0	0.63246	[-2, -2, -2, -2, -1, -3, -2, -2, -1, -3] neglecting	-1.7	0.78102	[-2, -1, -3, -2, -1, -3, -1, -1, -2, -1] neglects	-2.2	0.4	[-2, -2, -2, -2, -2, -3, -2, -3, -2, -2] nerd	-1.2	0.6	[-1, -2, -1, -2, -1, 0, -1, -1, -2, -1] nerdier	-0.2	0.87178	[0, 0, -1, -1, 0, -1, 2, 0, 0, -1] nerdiest	0.6	1.28062	[2, 3, 0, -1, 1, 0, 0, -1, 2, 0] nerdish	-0.1	1.04403	[-1, -1, 2, 0, -1, -1, 1, 0, 1, -1] nerdy	-0.2	1.249	[-1, -1, -1, 3, 0, 0, 0, 0, -2, 0] nerves	-0.4	0.8	[0, -1, 0, 1, -2, -1, 0, -1, 0, 0] nervous	-1.1	0.53852	[-1, -1, -1, -2, -2, -1, -1, 0, -1, -1] nervously	-0.6	1.56205	[-1, -1, -1, -1, -1, -2, 4, -1, -1, -1] nervousness	-1.2	0.4	[-1, -1, -1, -1, -1, -1, -1, -2, -2, -1] neurotic	-1.4	1.11355	[-3, -2, -2, -1, 1, -2, -2, -1, 0, -2] neurotically	-1.8	1.16619	[0, -2, -1, -3, -3, -1, 0, -2, -3, -3] neuroticism	-0.9	1.22066	[-2, -1, -1, -1, -2, 0, -3, 1, 1, -1] neurotics	-0.7	1.61555	[-2, 0, -1, -2, -1, -3, 0, 2, 2, -2] nice	1.8	0.74833	[3, 1, 1, 2, 2, 1, 3, 1, 2, 2] nicely	1.9	0.83066	[2, 1, 2, 2, 4, 2, 1, 1, 2, 2] niceness	1.6	0.66332	[1, 1, 3, 2, 1, 1, 2, 2, 2, 1] nicenesses	2.1	1.22066	[4, 0, 3, 1, 2, 1, 4, 2, 2, 2] nicer	1.9	0.53852	[2, 2, 1, 2, 3, 2, 2, 2, 1, 2] nicest	2.2	0.87178	[1, 4, 1, 2, 2, 2, 3, 3, 2, 2] niceties	1.5	1.20416	[1, 4, 1, 1, 2, 1, 0, 3, 2, 0] nicety	1.2	1.07703	[1, 0, 4, 1, 1, 0, 2, 1, 1, 1] nifty	1.7	0.64031	[2, 2, 1, 1, 1, 2, 3, 2, 2, 1] niggas	-1.4	2.2	[-4, -3, 2, 1, -4, -2, 0, -1, 1, -4] nigger	-3.3	1.18743	[-4, -4, -4, -4, -4, -4, -1, -3, -1, -4] no	-1.2	0.74833	[-1, -1, -1, -1, -1, -1, 0, -1, -2, -3] noble	2.0	0.89443	[2, 1, 2, 2, 3, 0, 2, 3, 2, 3] noisy	-0.7	0.64031	[-2, 0, -1, -1, 0, -1, -1, 0, 0, -1] nonsense	-1.7	0.64031	[-3, -1, -1, -1, -2, -1, -2, -2, -2, -2] noob	-0.2	1.16619	[-2, 0, -1, 0, -1, 2, 1, 1, -1, -1] nosey	-0.8	1.16619	[-2, -2, -2, 1, -1, -1, 0, 1, 0, -2] notorious	-1.9	1.3	[-2, -4, -3, -2, -2, -2, -1, -1, -3, 1] novel	1.3	0.64031	[2, 0, 1, 1, 1, 1, 2, 2, 2, 1] numb	-1.4	0.66332	[-1, -1, -1, -1, -2, -1, -1, -3, -2, -1] numbat	0.2	0.4	[0, 0, 0, 0, 1, 1, 0, 0, 0, 0] numbed	-0.9	0.53852	[-1, -1, -1, -1, 0, 0, -2, -1, -1, -1] number	0.3	0.64031	[0, 0, 1, 0, 0, 2, 0, 0, 0, 0] numberable	0.6	0.91652	[0, 2, 0, 0, 0, 2, 2, 0, 0, 0] numbest	-1.0	0.89443	[-2, -1, 0, 0, -3, -1, -1, -1, 0, -1] numbfish	-0.4	0.66332	[-1, 0, 0, 0, -2, 0, 0, -1, 0, 0] numbfishes	-0.7	0.9	[0, -1, 0, -1, -1, 0, -1, 0, 0, -3] numbing	-1.1	0.83066	[-1, 0, -1, -1, -2, -1, -3, -1, 0, -1] numbingly	-1.3	0.45826	[-1, -1, -2, -1, -1, -1, -2, -1, -2, -1] numbles	0.4	0.66332	[0, 0, 0, 0, 1, 2, 0, 0, 1, 0] numbly	-1.4	1.0198	[-3, -2, 0, -1, -1, -3, -1, -2, -1, 0] numbness	-1.1	0.7	[-1, -1, -2, -1, -1, -2, -1, 0, -2, 0] numbs	-0.7	1.00499	[-1, 0, -1, 0, 1, 0, -3, -1, -1, -1] numbskull	-2.3	1.41774	[-2, -4, -3, 0, -2, -2, -4, -4, 0, -2] numbskulls	-2.2	1.07703	[-2, -2, -4, -2, -2, -1, -3, -3, 0, -3] nurtural	1.5	0.80623	[2, 1, 2, 2, 1, 3, 0, 1, 2, 1] nurturance	1.6	0.8	[1, 2, 1, 1, 3, 0, 2, 2, 2, 2] nurturances	1.3	1.55242	[0, -2, 3, 1, 1, 2, 3, 0, 2, 3] nurturant	1.7	0.78102	[2, 1, 3, 2, 2, 2, 2, 1, 0, 2] nurture	1.4	0.8	[3, 1, 2, 2, 1, 2, 1, 0, 1, 1] nurtured	1.9	0.9434	[2, 1, 3, 3, 3, 1, 2, 2, 0, 2] nurturer	1.9	0.83066	[2, 1, 3, 3, 3, 1, 2, 2, 1, 1] nurturers	0.8	1.66132	[2, -1, 2, 2, 1, -2, -2, 2, 2, 2] nurtures	1.9	0.83066	[2, 1, 3, 3, 3, 1, 2, 2, 1, 1] nurturing	2.0	0.63246	[3, 3, 2, 2, 1, 2, 2, 1, 2, 2] nuts	-1.3	1.26886	[-2, -1, -2, -3, 1, -1, 1, -2, -2, -2] o.o	-0.8	1.07703	[-1, -1, 0, -2, -1, -1, -2, 1, -2, 1] o/\o	2.1	1.04403	[1, 2, 3, 1, 3, 4, 1, 2, 3, 1] o_0	-0.1	0.53852	[-1, -1, 0, 0, 0, 0, 0, 0, 1, 0] obliterate	-2.9	0.83066	[-3, -4, -3, -3, -3, -3, -2, -1, -4, -3] obliterated	-2.1	1.3	[-3, 0, -1, -4, -3, -2, 0, -2, -3, -3] obnoxious	-2.0	0.44721	[-1, -2, -3, -2, -2, -2, -2, -2, -2, -2] obnoxiously	-2.3	0.64031	[-3, -2, -1, -2, -2, -3, -2, -3, -3, -2] obnoxiousness	-2.1	0.7	[-3, -1, -1, -2, -2, -3, -2, -2, -3, -2] obscene	-2.8	0.87178	[-3, -3, -2, -1, -3, -4, -3, -4, -2, -3] obsess	-1.0	0.89443	[-2, 0, -2, -1, 1, -1, -2, -1, -1, -1] obsessed	-0.7	0.78102	[0, 0, -1, 0, -1, 0, -1, -2, -2, 0] obsesses	-1.0	0.7746	[-2, -2, -1, -2, 0, -1, -1, -1, 0, 0] obsessing	-1.4	0.66332	[-1, -1, -1, -2, -1, -1, -1, -3, -2, -1] obsession	-1.4	0.8	[0, -2, -2, -1, -1, -1, -3, -1, -1, -2] obsessional	-1.5	0.92195	[0, -2, -1, -1, -3, -1, -2, -1, -3, -1] obsessionally	-1.3	0.9	[-1, -2, -2, -2, -2, -1, 1, -1, -1, -2] obsessions	-0.9	1.44568	[-1, -4, -2, -1, 1, -1, 0, 1, 0, -2] obsessive	-0.9	1.04403	[-2, 0, -1, 0, 1, -1, -3, -1, -1, -1] obsessively	-0.4	1.2	[-1, -1, -1, -1, -1, 1, 2, -2, 1, -1] obsessiveness	-1.2	1.32665	[0, -3, -1, -1, -1, 1, -4, -1, -1, -1] obsessives	-0.7	0.9	[-1, -1, -1, -1, -1, 1, -2, 1, -1, -1] obsolete	-1.2	0.74833	[-1, -1, -1, -1, -2, -1, -1, -3, -1, 0] obstacle	-1.5	1.0247	[-1, -3, -1, -2, -2, -2, 1, -1, -2, -2] obstacles	-1.6	0.8	[-3, -1, -2, -1, -2, -2, 0, -2, -1, -2] obstinate	-1.2	0.74833	[-2, -1, -1, -1, 0, 0, -2, -1, -2, -2] odd	-1.3	0.45826	[-1, -1, -2, -1, -1, -1, -2, -1, -2, -1] offence	-1.2	1.93907	[-2, -2, -3, 3, -2, -2, -3, 2, -1, -2] offences	-1.4	1.49666	[-2, -2, -4, -1, -2, -2, -1, 0, 2, -2] offend	-1.2	1.4	[-2, -2, -2, -2, -1, -2, -2, 1, 2, -2] offended	-1.0	1.41421	[-2, -2, -2, -2, -1, 0, -2, 2, 1, -2] offender	-1.5	1.28452	[-3, -2, -2, -2, -2, -2, -2, 1, 1, -2] offenders	-1.5	1.28452	[-2, -1, -2, -2, -2, -2, 2, -3, -2, -1] offending	-2.3	0.64031	[-2, -2, -3, -2, -2, -4, -2, -2, -2, -2] offends	-2.0	0.7746	[-3, -1, -1, -2, -2, -2, -3, -1, -2, -3] offense	-1.0	1.61245	[-2, 1, -1, -2, -2, -2, -3, 2, 1, -2] offenseless	0.7	1.79165	[3, 1, 0, 2, 1, 2, 1, 0, -4, 1] offenses	-1.5	1.5	[-1, -2, -2, -4, -1, -2, 1, -3, 1, -2] offensive	-2.0	1.48324	[-3, -3, -3, -2, -1, -2, 2, -2, -3, -3] offensively	-2.8	0.87178	[-2, -4, -3, -3, -2, -4, -4, -2, -2, -2] offensiveness	-2.3	0.45826	[-2, -2, -2, -2, -2, -3, -2, -3, -3, -2] offensives	-0.8	1.249	[0, 0, -1, -2, 0, 2, -2, -1, -2, -2] offline	-0.5	0.92195	[0, 0, 0, 0, -3, 0, -1, 0, -1, 0] ok	1.2	0.4	[1, 2, 1, 1, 1, 1, 2, 1, 1, 1] okay	0.9	0.53852	[1, 1, 0, 0, 1, 1, 1, 2, 1, 1] okays	2.1	1.13578	[1, 1, 1, 4, 3, 2, 2, 1, 2, 4] ominous	-1.4	1.49666	[-3, -2, -1, -2, -2, -1, -1, 1, 1, -4] once-in-a-lifetime	1.8	1.4	[4, 2, 1, 0, 1, 1, 4, 3, 2, 0] openness	1.4	0.8	[2, 1, 1, 2, 2, 1, 1, 1, 3, 0] opportune	1.7	0.78102	[2, 2, 0, 1, 2, 3, 2, 2, 1, 2] opportunely	1.5	1.0247	[1, 1, 4, 1, 2, 1, 1, 2, 2, 0] opportuneness	1.2	1.249	[0, 1, 2, 2, 2, 2, 2, 2, -2, 1] opportunism	0.4	1.11355	[-1, -1, 0, -1, 1, 2, 0, 1, 2, 1] opportunisms	0.2	1.4	[2, -1, 0, -1, 1, -2, 2, 2, -1, 0] opportunist	0.2	0.9798	[-1, -1, 0, -1, 0, 2, 0, 1, 1, 1] opportunistic	-0.1	2.11896	[-2, 1, -1, 0, -4, 2, -1, 4, 1, -1] opportunistically	0.9	1.51327	[1, -3, 1, 3, 2, 2, 1, 0, 1, 1] opportunists	0.3	1.34536	[0, -1, -1, 2, 1, 3, -1, -1, 1, 0] opportunities	1.6	0.4899	[1, 1, 2, 2, 2, 1, 2, 2, 1, 2] opportunity	1.8	0.6	[2, 2, 2, 2, 3, 1, 2, 1, 1, 2] oppressed	-2.1	0.53852	[-2, -2, -2, -1, -2, -2, -3, -2, -2, -3] oppressive	-1.7	1.34536	[-3, -2, -1, -2, -2, -2, -3, 2, -2, -2] optimal	1.5	0.67082	[1, 2, 1, 3, 1, 1, 1, 2, 2, 1] optimality	1.9	0.7	[3, 3, 2, 1, 2, 1, 2, 2, 1, 2] optimally	1.3	0.9	[0, 3, 0, 1, 1, 2, 1, 1, 2, 2] optimisation	1.6	0.8	[3, 1, 1, 1, 2, 1, 1, 3, 2, 1] optimisations	1.8	0.6	[3, 1, 1, 2, 1, 2, 2, 2, 2, 2] optimise	1.9	0.83066	[1, 2, 3, 2, 3, 3, 2, 1, 1, 1] optimised	1.7	1.26886	[2, 4, 1, 2, 1, 2, 3, 2, 1, -1] optimises	1.6	1.0198	[3, 1, 1, 1, 1, 3, 2, 0, 3, 1] optimising	1.7	1.00499	[1, 2, 3, 3, 1, 2, 1, 3, 0, 1] optimism	2.5	0.67082	[2, 2, 3, 3, 3, 4, 2, 2, 2, 2] optimisms	2.0	0.63246	[2, 3, 1, 3, 1, 2, 2, 2, 2, 2] optimist	2.4	0.4899	[3, 2, 3, 2, 3, 3, 2, 2, 2, 2] optimistic	1.3	1.48661	[2, 2, -3, 2, 2, 2, 1, 2, 1, 2] optimistically	2.1	0.53852	[3, 2, 2, 2, 3, 2, 1, 2, 2, 2] optimists	1.6	0.66332	[3, 2, 2, 1, 2, 1, 2, 1, 1, 1] optimization	1.6	0.8	[2, 3, 1, 1, 1, 2, 0, 2, 2, 2] optimizations	0.9	1.04403	[0, 2, 0, 2, 1, 0, 3, 1, 0, 0] optimize	2.2	0.87178	[2, 3, 3, 2, 1, 2, 4, 2, 2, 1] optimized	2.0	0.44721	[1, 3, 2, 2, 2, 2, 2, 2, 2, 2] optimizer	1.5	0.67082	[1, 3, 1, 1, 2, 2, 1, 2, 1, 1] optimizers	2.1	0.7	[3, 3, 1, 3, 2, 2, 1, 2, 2, 2] optimizes	1.8	0.6	[1, 3, 2, 1, 2, 2, 1, 2, 2, 2] optimizing	2.0	0.7746	[1, 1, 2, 2, 1, 3, 3, 3, 2, 2] optionless	-1.7	0.64031	[-2, -1, -2, -3, -1, -2, -2, -2, -1, -1] original	1.3	0.9	[0, 2, 0, 2, 2, 0, 2, 1, 2, 2] outcry	-2.3	0.64031	[-3, -2, -2, -3, -2, -1, -3, -2, -2, -3] outgoing	1.2	1.16619	[1, 1, 1, 2, -1, 1, 3, 3, 0, 1] outmaneuvered	0.5	1.36015	[-2, 2, 0, 0, 3, 1, 1, 0, 1, -1] outrage	-2.3	1.00499	[-2, -2, -4, -3, -1, -3, -3, -1, -1, -3] outraged	-2.5	0.92195	[-3, -2, -2, -1, -3, -3, -1, -4, -3, -3] outrageous	-2.0	1.34164	[-3, 0, -2, -1, -3, 0, -3, -3, -4, -1] outrageously	-1.2	1.32665	[-1, -1, -3, -3, -2, -1, 2, -1, -1, -1] outrageousness	-1.2	1.249	[-2, 0, 1, -2, -1, -1, -3, 0, -1, -3] outrageousnesses	-1.3	1.67631	[-1, -3, -2, 1, 0, 1, 0, -3, -2, -4] outrages	-2.3	1.00499	[-3, -2, -2, -1, -3, -3, -1, -4, -1, -3] outraging	-2.0	1.18322	[-4, -1, -2, -3, -1, 0, -1, -3, -3, -2] outreach	1.1	0.7	[2, 1, 0, 0, 2, 1, 1, 1, 2, 1] outstanding	3.0	0.89443	[3, 1, 3, 3, 4, 4, 2, 3, 4, 3] overjoyed	2.7	0.78102	[4, 3, 3, 4, 2, 2, 2, 2, 3, 2] overload	-1.5	0.67082	[-2, 0, -1, -2, -2, -1, -1, -2, -2, -2] overlooked	-0.1	1.44568	[-1, -2, -1, -1, 2, 0, -1, 2, -1, 2] overreact	-1.0	1.73205	[-2, -2, -2, -2, 0, -3, 1, 3, -1, -2] overreacted	-1.7	0.64031	[-2, -2, -2, -1, -1, -1, -1, -3, -2, -2] overreaction	-0.7	1.34536	[-2, -1, 0, -1, -1, 3, -2, -1, -1, -1] overreacts	-2.2	0.87178	[-2, -2, -2, -3, -4, -1, -3, -1, -2, -2] oversell	-0.9	0.7	[0, -1, -1, 0, -2, -1, -1, -1, -2, 0] overselling	-0.8	1.16619	[0, -1, 0, -1, -2, -1, -1, -2, -2, 2] oversells	0.3	1.26886	[-1, -1, 0, 0, 2, 2, 2, -1, 1, -1] oversimplification	0.2	1.53623	[-1, 1, -1, -1, 1, -1, -2, 1, 2, 3] oversimplifies	0.1	1.37477	[3, 0, 0, -1, 1, -1, 2, -1, -1, -1] oversimplify	-0.6	1.35647	[-3, -1, 0, -2, 0, 1, 2, -1, -1, -1] overstatement	-1.1	0.7	[-2, 0, -1, -2, -1, 0, -1, -1, -2, -1] overstatements	-0.7	1.34536	[-1, -1, -3, -1, 2, 0, -1, -1, -2, 1] overweight	-1.5	0.67082	[-3, -2, -1, -1, -1, -2, -1, -2, -1, -1] overwhelm	-0.7	1.26886	[-1, 2, -1, -1, -2, -2, 1, 0, -1, -2] overwhelmed	0.2	1.53623	[-2, -1, 2, -2, 2, 1, -1, 2, 1, 0] overwhelmingly	-0.5	1.28452	[0, -2, -1, 0, -2, -1, -2, 0, 1, 2] overwhelms	-0.8	1.249	[-2, -2, -1, -1, -1, -2, 2, 1, -1, -1] oxymoron	-0.5	0.80623	[0, 0, -1, -1, -1, -2, 1, 0, 0, -1] pain	-2.3	0.64031	[-2, -3, -2, -2, -2, -2, -2, -2, -2, -4] pained	-1.8	0.6	[-1, -2, -3, -2, -2, -2, -2, -1, -1, -2] painful	-1.9	0.9434	[-2, -1, -1, -3, -4, -1, -1, -2, -2, -2] painfuller	-1.7	1.34536	[-2, -2, -2, 2, -1, -3, -2, -2, -3, -2] painfully	-2.4	0.4899	[-2, -3, -2, -3, -3, -2, -2, -2, -2, -3] painfulness	-2.7	0.64031	[-3, -4, -3, -2, -3, -3, -3, -2, -2, -2] paining	-1.7	0.45826	[-1, -2, -2, -2, -2, -2, -1, -2, -1, -2] painless	1.2	0.87178	[1, 2, -1, 1, 2, 1, 2, 1, 2, 1] painlessly	1.1	0.3	[1, 1, 1, 1, 1, 1, 1, 1, 1, 2] painlessness	0.4	1.0198	[1, 1, 1, 1, -1, 1, -2, 0, 1, 1] pains	-1.8	0.6	[-2, -2, -1, -1, -1, -2, -2, -2, -3, -2] palatable	1.6	0.8	[2, 1, 2, 1, 2, 1, 3, 0, 2, 2] palatableness	0.8	0.87178	[2, 1, 1, 0, -1, 2, 0, 1, 1, 1] palatably	1.1	0.83066	[2, 1, 2, 1, 1, 1, 2, -1, 1, 1] panic	-2.3	0.64031	[-3, -2, -1, -2, -2, -2, -3, -3, -2, -3] panicked	-2.0	1.61245	[-2, -4, -3, -3, -3, 1, -2, -2, 1, -3] panicking	-1.9	0.53852	[-2, -2, -3, -2, -2, -2, -2, -2, -1, -1] panicky	-1.5	0.67082	[-2, -2, -1, -1, -1, -1, -1, -2, -3, -1] panicle	0.5	0.67082	[2, 0, 0, 0, 0, 0, 0, 1, 1, 1] panicled	0.1	0.83066	[2, 0, 0, 0, 0, -1, 0, -1, 1, 0] panicles	-0.2	0.6	[1, 0, 0, 0, 0, -1, 0, -1, -1, 0] panics	-1.9	1.3	[-2, -3, -2, -3, -1, -2, 1, -4, -1, -2] paniculate	0.1	0.3	[0, 0, 0, 1, 0, 0, 0, 0, 0, 0] panicums	-0.1	0.3	[0, 0, 0, 0, -1, 0, 0, 0, 0, 0] paradise	3.2	0.9798	[4, 1, 4, 2, 4, 4, 3, 3, 3, 4] paradox	-0.4	0.66332	[-1, -1, 0, 0, -1, 0, -1, 0, 1, -1] paranoia	-1.0	1.48324	[1, -2, -2, -3, -1, 0, -2, -1, -2, 2] paranoiac	-1.3	1.61555	[-2, -3, -2, -2, 1, -3, 2, -2, 0, -2] paranoiacs	-0.7	1.18743	[-1, 0, -1, -1, -3, 1, -2, 0, 1, -1] paranoias	-1.5	1.0247	[-2, -3, -2, 0, -1, -3, 0, -1, -1, -2] paranoid	-1.0	1.41421	[0, -3, -3, -2, -1, -1, 0, 1, -2, 1] paranoids	-1.6	0.91652	[-2, -1, -1, -2, -2, -1, -1, -1, -4, -1] pardon	1.3	0.45826	[1, 2, 1, 2, 1, 2, 1, 1, 1, 1] pardoned	0.9	0.9434	[1, 1, 1, 1, 1, 1, 1, 0, 3, -1] pardoning	1.7	0.78102	[3, 2, 2, 2, 1, 1, 2, 2, 0, 2] pardons	1.2	0.6	[2, 1, 1, 1, 1, 2, 1, 2, 0, 1] parley	-0.4	0.66332	[0, -2, 0, 0, -1, -1, 0, 0, 0, 0] partied	1.4	1.11355	[2, 3, 1, 1, 1, 2, 3, -1, 1, 1] partier	1.4	0.8	[2, 2, 1, 1, 0, 2, 3, 1, 1, 1] partiers	0.7	1.00499	[0, 0, 3, 0, 0, 0, 2, 1, 0, 1] parties	1.7	0.78102	[2, 3, 1, 1, 1, 2, 3, 1, 2, 1] party	1.7	0.78102	[3, 2, 2, 1, 3, 2, 1, 1, 1, 1] partyer	1.2	1.07703	[1, 3, 1, 0, 1, 0, 2, 1, 3, 0] partyers	1.1	0.83066	[1, 2, 0, 3, 1, 1, 1, 0, 1, 1] partying	1.6	1.11355	[0, 3, 1, 0, 3, 2, 3, 1, 2, 1] passion	2.0	0.44721	[2, 2, 1, 3, 2, 2, 2, 2, 2, 2] passional	1.6	0.8	[2, 1, 3, 0, 2, 1, 1, 2, 2, 2] passionate	2.4	1.35647	[0, 4, 3, 3, 4, 2, 0, 2, 3, 3] passionately	2.4	0.91652	[3, 0, 3, 3, 2, 3, 2, 3, 2, 3] passionateness	2.3	0.64031	[1, 3, 2, 3, 2, 3, 2, 3, 2, 2] passionflower	0.3	0.45826	[0, 0, 0, 0, 1, 0, 1, 1, 0, 0] passionflowers	0.4	0.66332	[0, 0, 0, 0, 2, 1, 1, 0, 0, 0] passionless	-1.9	0.7	[-3, -2, -2, -2, -1, -1, -1, -3, -2, -2] passions	2.2	0.6	[3, 3, 3, 2, 2, 1, 2, 2, 2, 2] passive	0.8	1.46969	[4, 1, 1, 0, -2, 0, 1, 1, 2, 0] passively	-0.7	0.64031	[0, -1, 0, 0, -1, -2, 0, -1, -1, -1] pathetic	-2.7	1.48661	[-3, -4, -3, -4, -2, 1, -2, -2, -4, -4] pathetical	-1.2	1.249	[-2, -1, -2, -1, -2, 1, -3, 1, -1, -2] pathetically	-1.8	1.72047	[-3, -4, -2, 0, -3, -2, -3, -3, 1, 1] pay	-0.4	0.91652	[0, 0, -3, 0, 0, 0, 0, 0, -1, 0] peace	2.5	1.0247	[3, 2, 1, 4, 2, 3, 4, 1, 3, 2] peaceable	1.7	0.45826	[2, 2, 1, 2, 1, 2, 2, 1, 2, 2] peaceableness	1.8	1.16619	[2, 2, 4, 2, 2, 2, 2, 1, 2, -1] peaceably	2.0	0.63246	[2, 3, 2, 2, 1, 2, 3, 1, 2, 2] peaceful	2.2	0.74833	[4, 2, 1, 2, 2, 2, 3, 2, 2, 2] peacefuller	1.9	0.7	[2, 2, 2, 1, 3, 3, 2, 2, 1, 1] peacefullest	3.1	0.7	[3, 3, 2, 3, 4, 2, 4, 3, 4, 3] peacefully	2.4	0.66332	[3, 2, 2, 2, 4, 2, 2, 3, 2, 2] peacefulness	2.1	0.83066	[3, 2, 1, 2, 3, 1, 3, 3, 1, 2] peacekeeper	1.6	1.11355	[1, 1, 0, 2, 1, 1, 4, 3, 2, 1] peacekeepers	1.6	1.11355	[4, 1, 1, 2, 1, 1, 2, 3, 0, 1] peacekeeping	2.0	0.63246	[2, 1, 1, 2, 3, 3, 2, 2, 2, 2] peacekeepings	1.6	0.8	[0, 1, 1, 2, 2, 3, 2, 2, 2, 1] peacemaker	2.0	0.89443	[2, 1, 2, 4, 2, 2, 1, 3, 1, 2] peacemakers	2.4	1.0198	[0, 3, 4, 2, 3, 2, 3, 3, 2, 2] peacemaking	1.7	0.78102	[1, 1, 1, 3, 3, 1, 2, 2, 2, 1] peacenik	0.8	0.87178	[1, 1, 0, 1, 2, 0, 1, 1, -1, 2] peaceniks	0.7	1.00499	[2, 0, 0, 1, 0, 2, 1, -1, 2, 0] peaces	2.1	0.83066	[2, 2, 2, 2, 3, 0, 3, 3, 2, 2] peacetime	2.2	1.16619	[3, 1, 4, 2, 4, 3, 1, 1, 2, 1] peacetimes	2.1	0.83066	[3, 2, 2, 4, 1, 2, 2, 2, 1, 2] peculiar	0.6	1.2	[-1, 0, -1, 1, 2, -1, 2, 1, 2, 1] peculiarities	0.1	1.37477	[-1, -1, 0, -1, -1, 1, 3, 2, -1, 0] peculiarity	0.6	1.2	[-1, 1, -1, 0, 2, -1, 1, 2, 2, 1] peculiarly	-0.4	1.2	[-1, 2, -2, -1, 0, 0, -2, 1, -1, 0] penalty	-2.0	0.63246	[-2, -3, -2, -2, -1, -2, -3, -2, -2, -1] pensive	0.3	1.1	[1, 0, 0, 1, 0, -1, 3, 0, -1, 0] perfect	2.7	0.78102	[2, 4, 2, 3, 4, 2, 3, 2, 3, 2] perfecta	1.4	1.42829	[1, 0, 0, 3, 1, 0, 0, 4, 3, 2] perfectas	0.6	1.11355	[0, 0, -1, 1, 0, 2, 3, 0, 1, 0] perfected	2.7	0.78102	[1, 3, 3, 4, 2, 3, 3, 2, 3, 3] perfecter	1.8	0.9798	[2, 1, 3, 1, 2, 1, 2, 4, 1, 1] perfecters	1.4	1.11355	[2, 1, 3, 0, 0, 3, 2, 0, 1, 2] perfectest	3.1	1.04403	[2, 4, 4, 4, 3, 2, 1, 3, 4, 4] perfectibilities	2.1	1.04403	[3, 2, 2, 3, 4, 1, 2, 2, 0, 2] perfectibility	1.8	1.249	[4, 3, 3, 0, 1, 0, 1, 2, 2, 2] perfectible	1.5	0.67082	[1, 2, 1, 1, 2, 1, 1, 3, 2, 1] perfecting	2.3	0.9	[1, 2, 3, 3, 1, 2, 2, 4, 2, 3] perfection	2.7	1.1	[3, 3, 3, 1, 2, 4, 4, 1, 2, 4] perfectionism	1.3	1.26886	[3, -1, 2, 1, 2, 2, 2, -1, 1, 2] perfectionist	1.5	1.20416	[3, -1, 3, 1, 2, 2, 2, 0, 1, 2] perfectionistic	0.7	1.67631	[-1, 0, 2, 0, 1, 0, 3, -1, 4, -1] perfectionists	0.1	1.22066	[1, -1, 1, -1, 0, 0, -1, 0, 3, -1] perfections	2.5	1.43178	[2, 4, 4, 3, 3, 4, -1, 2, 2, 2] perfective	1.2	0.87178	[1, 0, 1, 1, 3, 2, 2, 0, 1, 1] perfectively	2.1	1.13578	[3, 3, 1, 4, 0, 2, 1, 2, 2, 3] perfectiveness	0.9	1.51327	[-2, 3, -1, 0, 2, 0, 2, 2, 2, 1] perfectives	0.9	0.83066	[0, 2, 1, 1, 1, 0, 2, 0, 2, 0] perfectivity	2.2	0.9798	[3, 2, 0, 3, 1, 2, 3, 3, 2, 3] perfectly	3.2	0.4	[3, 4, 4, 3, 3, 3, 3, 3, 3, 3] perfectness	3.0	0.63246	[4, 3, 3, 3, 3, 2, 4, 2, 3, 3] perfecto	1.3	1.34536	[1, 0, 0, 2, 0, 0, 1, 4, 3, 2] perfects	1.6	1.11355	[1, 1, 1, 2, 1, 0, 1, 4, 3, 2] peril	-1.7	1.67631	[-3, -2, -2, 3, -3, -2, -3, -2, -1, -2] perjury	-1.9	0.9434	[-3, -2, -3, -2, -2, 0, -1, -2, -3, -1] perpetrator	-2.2	0.74833	[-2, -3, -2, -2, -2, -2, -4, -2, -1, -2] perpetrators	-1.0	1.67332	[-1, -2, -2, -2, -2, 2, 0, -4, 1, 0] perplexed	-1.3	0.64031	[-1, -1, -2, -1, -1, -1, 0, -2, -2, -2] persecute	-2.1	1.37477	[-2, -3, -2, 1, -1, -4, -2, -2, -2, -4] persecuted	-1.3	1.61555	[-2, -1, -2, -1, -2, 2, -4, 1, -2, -2] persecutes	-1.2	1.4	[-2, -1, -2, 0, -2, 1, -3, 1, -1, -3] persecuting	-1.5	1.62788	[-3, -2, -2, 0, -4, -3, -2, -1, 1, 1] perturbed	-1.4	0.8	[-2, -1, -1, 0, -2, -2, -2, 0, -2, -2] perverse	-1.8	1.8868	[-2, -4, -3, 1, -2, -4, 1, 0, -1, -4] perversely	-2.2	0.87178	[-1, -2, -2, -2, -1, -3, -2, -3, -4, -2] perverseness	-2.1	1.22066	[-3, -3, 1, -2, -3, -2, -3, -2, -1, -3] perversenesses	-0.5	1.74642	[-2, 3, -1, -2, 1, 0, 1, 0, -2, -3] perversion	-1.3	1.34536	[-3, -2, -2, 1, 1, -3, -1, -2, -1, -1] perversions	-1.2	1.83303	[-2, 0, -4, -2, -3, -3, 0, 1, -1, 2] perversities	-1.1	1.22066	[-2, -1, -2, 0, -2, -2, -2, 1, 1, -2] perversity	-2.6	0.8	[-2, -3, -2, -2, -4, -3, -3, -1, -3, -3] perversive	-2.1	0.7	[-3, -1, -3, -2, -2, -2, -2, -1, -3, -2] pervert	-2.3	0.9	[-2, -2, -1, -3, -4, -2, -3, -1, -3, -2] perverted	-2.5	1.56525	[-2, -4, -2, -4, -3, -4, 1, -2, -1, -4] pervertedly	-1.2	1.77764	[-3, -2, -1, -2, 2, -3, 1, -3, 1, -2] pervertedness	-1.2	1.46969	[1, -2, -3, -2, 0, -2, -3, 1, 0, -2] perverter	-1.7	1.48661	[-3, -4, -2, -2, -1, -1, 2, -2, -2, -2] perverters	-0.6	1.68523	[-2, -2, -1, 0, -1, 2, -3, 1, 2, -2] perverting	-1.0	2.09762	[4, -2, -2, -4, -2, 1, 0, -1, -2, -2] perverts	-2.8	0.6	[-3, -3, -2, -3, -3, -2, -2, -4, -3, -3] pesky	-1.2	0.4	[-1, -2, -1, -1, -1, -1, -2, -1, -1, -1] pessimism	-1.5	1.36015	[-2, -3, 1, -2, -2, -1, 1, -3, -2, -2] pessimisms	-2.0	1.0	[-3, -1, -2, -2, -3, -1, 0, -2, -3, -3] pessimist	-1.5	1.36015	[-1, -3, 1, -2, -2, -2, 1, -3, -2, -2] pessimistic	-1.5	1.43178	[-3, -1, -1, 1, -3, -3, -2, -2, -2, 1] pessimistically	-2.0	1.0	[-1, -1, -3, -4, -2, -1, -1, -3, -2, -2] pessimists	-1.0	1.26491	[-1, 1, -1, 0, -2, -2, -2, -3, -1, 1] petrifaction	-1.9	1.3	[-3, -2, -1, -4, -3, 0, -1, 0, -2, -3] petrifactions	-0.3	1.00499	[0, -1, 0, 0, 0, 0, 0, 0, -3, 1] petrification	-0.1	1.44568	[-1, 2, -1, -1, 0, 2, 2, -2, -1, -1] petrifications	-0.4	0.8	[0, 0, -2, 0, 0, 0, 0, 0, -2, 0] petrified	-2.5	0.92195	[-4, -3, -2, -1, -2, -3, -2, -2, -2, -4] petrifies	-2.3	1.00499	[-4, -3, -2, -1, -2, -2, -1, -2, -2, -4] petrify	-1.7	0.9	[-2, -3, -1, -2, -1, -1, -2, -3, 0, -2] petrifying	-2.6	0.8	[-2, -3, -3, -2, -4, -2, -3, -1, -3, -3] pettier	-0.3	1.41774	[-1, -1, -1, -1, 2, 0, 2, -2, 1, -2] pettiest	-1.3	1.95192	[1, -3, -3, -3, -2, -1, 2, -1, 1, -4] petty	-0.8	1.32665	[1, -3, -2, -1, -1, -1, -1, -1, 2, -1] phobia	-1.6	1.0198	[-2, -2, 1, -2, -3, -1, -1, -2, -2, -2] phobias	-2.0	1.0	[-3, -2, -2, -3, -3, 0, -1, -2, -1, -3] phobic	-1.2	1.16619	[-2, -2, 1, -1, -2, -1, 1, -2, -2, -2] phobics	-1.3	0.64031	[-1, -1, -1, -2, -2, -1, 0, -2, -2, -1] picturesque	1.6	1.11355	[4, 1, 1, 2, 1, 2, 1, 0, 3, 1] pileup	-1.1	1.13578	[-2, 1, 0, -1, 0, -1, -3, -2, -2, -1] pique	-1.1	1.13578	[-2, -2, -2, 0, 0, -1, 1, -1, -1, -3] piqued	0.1	1.04403	[0, -2, 0, 1, 1, 1, -1, 1, -1, 1] piss	-1.7	0.9	[-2, -1, -1, -2, -1, -3, -3, 0, -2, -2] pissant	-1.5	1.5	[-1, -3, -3, 1, -3, -1, -1, -2, 1, -3] pissants	-2.5	0.80623	[-4, -3, -3, -2, -3, -1, -2, -3, -2, -2] pissed	-3.2	0.6	[-3, -3, -4, -3, -2, -4, -4, -3, -3, -3] pisser	-2.0	1.09545	[-2, -4, -1, -3, -2, -3, -1, -2, -2, 0] pissers	-1.4	2.00998	[-1, -1, -4, -2, -3, 4, -2, -1, -2, -2] pisses	-1.4	0.8	[-2, -2, -1, -3, -1, -1, -1, -2, -1, 0] pissing	-1.7	1.26886	[0, 0, -2, -2, -3, 0, -3, -1, -3, -3] pissoir	-0.8	1.4	[-2, 0, 0, -2, -1, -3, 0, -2, 0, 2] piteous	-1.2	1.46969	[-2, -1, -2, -2, -2, -1, 3, -1, -2, -2] pitiable	-1.1	1.22066	[-1, 0, -1, -1, 1, -2, -4, -1, -1, -1] pitiableness	-1.1	1.64012	[-2, -1, -1, -2, -4, 2, 1, 0, -2, -2] pitiably	-1.1	0.9434	[-1, 0, 0, -2, 0, -2, -3, -1, -1, -1] pitied	-1.3	1.1	[-2, -1, -3, -1, 1, 0, -2, -2, -1, -2] pitier	-1.2	1.32665	[-3, -1, -2, -3, -1, -1, 1, 1, -2, -1] pitiers	-1.3	0.9	[0, -1, -2, -2, -1, -1, -1, -3, -2, 0] pities	-1.2	1.249	[-2, -1, -2, -3, -1, -1, 1, 1, -2, -2] pitiful	-2.2	0.9798	[-3, -2, -1, -3, -2, -2, -3, -3, -3, 0] pitifuller	-1.8	1.07703	[-1, -1, -2, -3, -4, 0, -2, -2, -1, -2] pitifullest	-1.1	2.11896	[-2, 1, -1, -4, -4, -1, -3, -1, 2, 2] pitifully	-1.2	1.249	[-2, -1, -3, -2, -1, -1, -2, -1, 2, -1] pitifulness	-1.2	1.77764	[-3, -2, -1, -3, -2, -1, 3, 1, -2, -2] pitiless	-1.8	0.87178	[-2, 0, -2, -2, -2, -3, -1, -3, -1, -2] pitilessly	-2.1	0.7	[-2, -2, -1, -3, -3, -1, -3, -2, -2, -2] pitilessness	-0.5	1.62788	[1, 3, 1, -3, -2, -1, -1, -1, -1, -1] pity	-1.2	0.4	[-2, -2, -1, -1, -1, -1, -1, -1, -1, -1] pitying	-1.4	0.91652	[-1, -3, -1, -3, -2, -1, 0, -1, -1, -1] pityingly	-1.0	1.26491	[-2, -2, -1, -2, -2, 0, 0, -1, 2, -2] pityriasis	-0.8	0.87178	[-2, 0, 0, 0, -1, 0, -2, -1, -2, 0] play	1.4	1.0198	[2, 0, 1, 1, 1, 2, 1, 4, 1, 1] played	1.4	1.42829	[2, 1, 1, 1, 4, 0, 1, 0, 4, 0] playful	1.9	0.83066	[4, 2, 2, 2, 1, 1, 1, 2, 2, 2] playfully	1.6	0.4899	[2, 1, 1, 2, 1, 2, 2, 2, 1, 2] playfulness	1.2	0.87178	[2, 1, 2, -1, 1, 2, 1, 2, 1, 1] playing	0.8	0.87178	[0, 2, 2, 1, 0, 0, 2, 0, 0, 1] plays	1.0	1.09545	[0, 2, 0, 2, 0, 1, 0, 2, 3, 0] pleasant	2.3	0.64031	[2, 3, 3, 3, 2, 1, 2, 2, 3, 2] pleasanter	1.5	0.67082	[2, 2, 2, 1, 0, 1, 1, 2, 2, 2] pleasantest	2.6	0.8	[3, 3, 3, 1, 2, 4, 3, 2, 2, 3] pleasantly	2.1	0.53852	[1, 2, 3, 2, 2, 2, 2, 2, 3, 2] pleasantness	2.3	0.9	[3, 2, 3, 3, 3, 1, 1, 3, 1, 3] pleasantnesses	2.3	0.78102	[3, 1, 2, 3, 1, 2, 3, 3, 2, 3] pleasantries	1.3	0.45826	[1, 1, 1, 1, 1, 2, 1, 2, 2, 1] pleasantry	2.0	0.7746	[2, 2, 1, 1, 4, 2, 2, 2, 2, 2] please	1.3	0.78102	[2, 1, 2, 2, 2, 0, 2, 1, 0, 1] pleased	1.9	0.53852	[2, 2, 2, 2, 1, 1, 2, 3, 2, 2] pleaser	1.7	0.45826	[2, 2, 2, 2, 1, 1, 1, 2, 2, 2] pleasers	1.0	1.0	[1, 1, 2, 0, 1, 3, 1, 1, -1, 1] pleases	1.7	0.45826	[2, 1, 2, 2, 1, 1, 2, 2, 2, 2] pleasing	2.4	0.91652	[2, 3, 2, 2, 2, 2, 4, 4, 1, 2] pleasurability	1.9	0.83066	[1, 2, 2, 2, 2, 0, 2, 3, 3, 2] pleasurable	2.4	0.4899	[2, 3, 3, 2, 3, 3, 2, 2, 2, 2] pleasurableness	2.4	0.91652	[2, 3, 2, 1, 2, 3, 4, 3, 1, 3] pleasurably	2.6	0.4899	[2, 2, 2, 3, 3, 3, 3, 2, 3, 3] pleasure	2.7	0.9	[4, 4, 3, 2, 2, 3, 2, 1, 3, 3] pleasured	2.3	0.64031	[3, 2, 3, 2, 3, 3, 1, 2, 2, 2] pleasureless	-1.6	0.8	[-1, -1, -1, -1, -2, -3, -3, -2, -1, -1] pleasures	1.9	1.37477	[3, -2, 3, 2, 3, 2, 2, 2, 2, 2] pleasuring	2.8	0.4	[3, 2, 3, 3, 3, 3, 3, 2, 3, 3] poised	1.0	0.44721	[1, 1, 1, 1, 1, 1, 0, 1, 1, 2] poison	-2.5	0.92195	[-4, -3, -2, -4, -2, -2, -2, -3, -1, -2] poisoned	-2.2	0.9798	[-4, -1, -4, -1, -2, -2, -2, -2, -2, -2] poisoner	-2.7	0.78102	[-2, -3, -3, -4, -4, -2, -2, -2, -2, -3] poisoners	-3.1	0.83066	[-3, -4, -3, -4, -3, -4, -3, -3, -1, -3] poisoning	-2.8	1.249	[-4, -4, -2, 0, -2, -3, -4, -3, -2, -4] poisonings	-2.4	1.11355	[-2, 0, -2, -1, -4, -3, -3, -3, -3, -3] poisonous	-2.7	0.78102	[-3, -3, -4, -2, -1, -3, -3, -3, -3, -2] poisonously	-2.9	0.53852	[-3, -2, -3, -3, -2, -3, -3, -4, -3, -3] poisons	-2.7	0.9	[-3, -4, -3, -1, -2, -3, -3, -2, -2, -4] poisonwood	-1.0	0.89443	[0, -2, 0, 0, 0, -1, -2, -2, -2, -1] pollute	-2.3	0.64031	[-3, -2, -2, -2, -2, -3, -3, -1, -3, -2] polluted	-2.0	0.44721	[-2, -2, -1, -2, -2, -2, -2, -2, -3, -2] polluter	-1.8	0.6	[-2, -1, -2, -1, -2, -2, -3, -1, -2, -2] polluters	-2.0	0.44721	[-2, -2, -2, -2, -2, -3, -2, -1, -2, -2] pollutes	-2.2	0.87178	[-2, -1, -2, -1, -3, -1, -3, -3, -3, -3] poor	-2.1	1.13578	[-2, -2, -1, -4, -2, 0, -2, -4, -2, -2] poorer	-1.5	1.56525	[-2, -3, -2, -2, -2, -2, 3, -2, -1, -2] poorest	-2.5	0.80623	[-2, -3, -3, -1, -2, -3, -3, -4, -2, -2] popular	1.8	0.74833	[2, 3, 1, 2, 2, 1, 3, 1, 2, 1] popularise	1.6	0.66332	[1, 1, 2, 2, 3, 2, 1, 2, 1, 1] popularised	1.1	0.9434	[1, 1, 0, 0, 3, 2, 1, 2, 1, 0] popularises	0.5	0.67082	[1, 0, 0, 0, 0, 1, 1, 2, 0, 0] popularising	1.2	0.6	[1, 0, 2, 2, 1, 1, 1, 2, 1, 1] popularities	1.6	0.8	[2, 1, 1, 2, 0, 2, 1, 2, 3, 2] popularity	2.1	1.04403	[2, 1, 1, 1, 3, 2, 3, 4, 3, 1] popularization	1.3	0.78102	[1, 2, 1, 2, 1, 0, 1, 1, 3, 1] popularizations	0.9	0.7	[1, 1, 1, 0, 2, 0, 1, 1, 2, 0] popularize	1.3	0.64031	[2, 2, 0, 2, 1, 1, 1, 1, 2, 1] popularized	1.9	0.83066	[3, 2, 3, 2, 1, 0, 2, 2, 2, 2] popularizer	1.8	0.74833	[2, 2, 3, 2, 1, 0, 2, 2, 2, 2] popularizers	1.0	0.89443	[0, 0, 1, 2, 1, 1, 1, 1, 3, 0] popularizes	1.4	0.8	[2, 1, 3, 2, 1, 0, 1, 2, 1, 1] popularizing	1.5	0.67082	[2, 2, 1, 1, 1, 2, 2, 0, 2, 2] popularly	1.8	0.74833	[1, 3, 2, 1, 3, 1, 2, 1, 2, 2] positive	2.6	0.91652	[2, 1, 2, 2, 3, 3, 4, 3, 4, 2] positively	2.4	0.66332	[2, 2, 3, 3, 4, 2, 2, 2, 2, 2] positiveness	2.3	1.18743	[2, 1, 4, 3, 4, 2, 0, 3, 2, 2] positivenesses	2.2	0.74833	[3, 3, 2, 2, 2, 2, 1, 3, 1, 3] positiver	2.3	0.78102	[1, 4, 2, 2, 2, 3, 2, 2, 2, 3] positives	2.4	0.4899	[3, 3, 2, 2, 2, 2, 3, 2, 3, 2] positivest	2.9	1.04403	[4, 3, 2, 1, 3, 4, 4, 4, 2, 2] positivism	1.6	1.35647	[3, 0, 2, 1, 2, 0, 3, 4, 1, 0] positivisms	1.8	0.9798	[4, 1, 2, 2, 2, 0, 2, 2, 1, 2] positivist	2.0	1.0	[3, 1, 2, 2, 2, 0, 2, 4, 2, 2] positivistic	1.9	0.83066	[2, 3, 1, 3, 1, 1, 3, 2, 1, 2] positivists	1.7	1.1	[1, 2, 1, 4, 2, 1, 3, 0, 1, 2] positivities	2.6	0.91652	[2, 2, 4, 3, 2, 3, 4, 3, 1, 2] positivity	2.3	0.9	[2, 2, 2, 3, 3, 3, 3, 0, 3, 2] possessive	-0.9	1.22066	[-1, -1, -2, -2, 0, -1, 0, -2, 2, -2] postpone	-0.9	0.83066	[1, -1, -2, -1, -1, -2, -1, -1, 0, -1] postponed	-0.8	0.4	[-1, -1, 0, 0, -1, -1, -1, -1, -1, -1] postpones	-1.1	0.83066	[-1, -1, -1, 0, -1, 0, -2, -1, -3, -1] postponing	-0.5	0.5	[0, -1, 0, -1, 0, 0, 0, -1, -1, -1] poverty	-2.3	1.00499	[-2, -4, -2, -4, -3, -1, -2, -2, -1, -2] powerful	1.8	0.9798	[4, 0, 2, 1, 2, 2, 2, 2, 1, 2] powerless	-2.2	0.6	[-2, -3, -2, -2, -3, -2, -3, -2, -1, -2] praise	2.6	0.8	[2, 4, 3, 3, 2, 1, 3, 3, 2, 3] praised	2.2	0.6	[3, 2, 2, 2, 2, 3, 1, 3, 2, 2] praiser	2.0	0.89443	[3, 1, 3, 1, 1, 2, 1, 3, 2, 3] praisers	2.0	0.63246	[2, 2, 1, 3, 3, 2, 1, 2, 2, 2] praises	2.4	0.4899	[3, 2, 2, 3, 2, 3, 2, 3, 2, 2] praiseworthily	1.9	0.7	[2, 1, 1, 3, 2, 2, 2, 3, 1, 2] praiseworthiness	2.4	0.8	[1, 3, 2, 4, 2, 2, 3, 2, 3, 2] praiseworthy	2.6	0.4899	[3, 3, 3, 3, 2, 2, 3, 2, 3, 2] praising	2.5	0.67082	[2, 3, 3, 2, 2, 3, 3, 3, 1, 3] pray	1.3	1.18743	[0, 3, 2, 1, 1, 1, -1, 3, 1, 2] praying	1.5	0.92195	[2, 2, 0, 3, 1, 3, 1, 1, 1, 1] prays	1.4	1.0198	[2, 0, 2, 0, 1, 1, 3, 1, 3, 1] prblm	-1.6	0.8	[-1, -1, -1, -1, -1, -3, -3, -2, -2, -1] prblms	-2.3	1.00499	[-2, -2, -2, -2, -4, -4, -3, -1, -2, -1] precious	2.7	0.64031	[3, 3, 3, 3, 3, 1, 3, 3, 2, 3] preciously	2.2	0.74833	[3, 3, 3, 2, 2, 1, 1, 3, 2, 2] preciousness	1.9	0.83066	[2, 4, 2, 2, 2, 1, 1, 1, 2, 2] prejudice	-2.3	0.78102	[-2, -1, -2, -2, -3, -2, -2, -3, -4, -2] prejudiced	-1.9	0.53852	[-2, -3, -1, -2, -1, -2, -2, -2, -2, -2] prejudices	-1.8	0.74833	[-2, -3, -1, -2, -1, -3, -2, -1, -1, -2] prejudicial	-2.6	0.8	[-3, -3, -2, -2, -3, -4, -2, -1, -3, -3] prejudicially	-1.5	1.74642	[-3, -1, -1, -3, -3, -1, -3, 1, 2, -3] prejudicialness	-2.4	1.42829	[-2, -3, 1, -3, -2, -4, -4, -3, -1, -3] prejudicing	-1.8	1.07703	[-2, -2, -2, -3, -2, -1, 1, -3, -2, -2] prepared	0.9	0.3	[1, 1, 1, 1, 1, 0, 1, 1, 1, 1] pressure	-1.2	0.6	[-1, -1, -1, -1, -2, -2, -1, -2, 0, -1] pressured	-0.9	1.04403	[-2, -1, -2, -1, 2, -1, -1, -1, -1, -1] pressureless	1.0	1.26491	[2, 0, 1, -1, -1, 2, 1, 2, 1, 3] pressures	-1.3	0.64031	[-2, -1, -1, -1, -3, -1, -1, -1, -1, -1] pressuring	-1.4	0.91652	[-3, -1, -1, -1, -1, -1, -1, -3, -2, 0] pressurise	-0.6	1.0198	[0, -2, 0, 1, 0, -2, 0, -2, 0, -1] pressurised	-0.4	0.66332	[0, 0, 0, -1, 0, -1, 0, -2, 0, 0] pressurises	-0.8	0.6	[-1, -1, -1, 0, -1, -1, 0, -1, 0, -2] pressurising	-0.6	1.28062	[-1, 0, 0, 2, -1, -1, -3, 0, -2, 0] pressurizations	-0.3	1.00499	[0, 0, 1, -2, 0, 0, -1, -2, 0, 1] pressurize	-0.7	1.34536	[0, -2, -2, 0, 0, -1, -3, 2, -1, 0] pressurized	0.1	0.83066	[0, 0, 0, 2, 0, 0, -1, -1, 0, 1] pressurizer	0.1	0.83066	[0, 0, 0, 1, 0, 0, -1, -1, 0, 2] pressurizers	-0.7	0.9	[-1, 0, -2, -1, -2, -1, 0, 0, 1, -1] pressurizes	-0.2	0.87178	[0, 0, -1, 1, 0, 0, -1, -2, 0, 1] pressurizing	-0.2	0.9798	[1, 0, -1, -1, -1, 0, -1, 2, 0, -1] pretend	-0.4	0.91652	[0, 1, -1, -1, -2, 0, -1, -1, 1, 0] pretending	0.4	1.49666	[2, 0, -1, -1, 0, 3, -2, 1, 0, 2] pretends	-0.4	0.66332	[0, -1, 0, -1, 1, 0, 0, -1, -1, -1] prettied	1.6	0.66332	[2, 1, 1, 1, 1, 2, 3, 2, 1, 2] prettier	2.1	0.53852	[2, 2, 2, 2, 2, 2, 3, 1, 2, 3] pretties	1.7	0.78102	[2, 1, 1, 2, 1, 2, 3, 1, 1, 3] prettiest	2.7	0.78102	[4, 3, 4, 2, 2, 2, 3, 2, 2, 3] pretty	2.2	0.6	[3, 2, 2, 2, 3, 1, 2, 2, 2, 3] prevent	0.1	1.22066	[-2, 1, 0, 0, -1, 2, -1, 2, 0, 0] prevented	0.1	0.7	[0, -1, 0, 2, 0, 0, 0, 0, 0, 0] preventing	-0.1	1.51327	[-2, 0, -2, 3, 0, 0, -1, -1, 2, 0] prevents	0.3	1.34536	[0, -2, 0, 0, 0, 2, 0, -1, 3, 1] prick	-1.4	1.42829	[-2, -2, -2, -1, 1, -1, -4, -2, 1, -2] pricked	-0.6	1.0198	[-1, -1, -2, 1, 0, -1, -2, -1, 1, 0] pricker	-0.3	0.9	[-1, -1, 0, 2, 0, -1, -1, -1, 0, 0] prickers	-0.2	0.87178	[1, -1, -1, 0, 1, -1, 0, 1, -1, -1] pricket	-0.5	0.67082	[0, -1, -1, -2, 0, 0, 0, 0, -1, 0] prickets	0.3	0.64031	[0, 2, 0, 0, 0, 1, 0, 0, 0, 0] pricking	-0.9	1.22066	[-2, -1, -2, 2, -2, -2, -1, 0, -1, 0] prickle	-1.0	0.44721	[-1, -1, -1, -1, -1, -1, -2, 0, -1, -1] prickled	-0.2	1.53623	[-1, -1, 3, -1, -2, 2, 0, 0, 0, -2] prickles	-0.8	0.74833	[0, -1, -1, -1, -2, -1, 0, 0, 0, -2] pricklier	-1.6	0.8	[-1, -2, -2, -2, -2, -1, -2, -1, 0, -3] prickliest	-1.4	1.35647	[-4, -2, -1, 0, -3, -1, -1, 1, -2, -1] prickliness	-0.6	0.91652	[-2, -1, -1, -1, -1, 1, -1, 1, 0, -1] prickling	-0.8	0.6	[-2, -1, 0, -1, 0, 0, -1, -1, -1, -1] prickly	-0.9	1.04403	[-2, -1, -1, -2, -1, 1, -2, -1, 1, -1] pricks	-0.9	1.04403	[-2, 0, -1, -3, -1, 1, 0, -1, -1, -1] pricky	-0.6	1.2	[-2, 1, -1, -2, -1, 2, 0, -1, -1, -1] pride	1.4	1.11355	[0, 2, 2, 2, 3, 1, -1, 2, 2, 1] prison	-2.3	0.64031	[-3, -3, -2, -2, -1, -2, -3, -3, -2, -2] prisoner	-2.5	1.0247	[-3, -1, -4, -4, -3, -2, -3, -2, -1, -2] prisoners	-2.3	0.78102	[-3, -2, -3, -3, -1, -3, -2, -1, -2, -3] privilege	1.5	0.80623	[2, 1, 0, 1, 3, 1, 2, 2, 2, 1] privileged	1.9	0.9434	[2, 3, 3, 2, 3, 1, 1, 2, 0, 2] privileges	1.6	1.2	[2, 1, 3, 1, 2, 2, 0, 0, 4, 1] privileging	0.7	1.1	[1, 1, 2, 2, -1, 2, 1, 0, 0, -1] prize	2.3	1.1	[2, 2, 0, 4, 4, 3, 2, 2, 2, 2] prized	2.4	0.8	[3, 3, 3, 2, 3, 2, 1, 3, 1, 3] prizefight	-0.1	1.13578	[-2, 2, 0, 0, 0, -2, 0, 1, 0, 0] prizefighter	1.0	1.0	[0, 2, 0, 0, 0, 2, 0, 2, 2, 2] prizefighters	-0.1	1.04403	[0, 0, -3, 0, 0, 0, 0, 1, 1, 0] prizefighting	0.4	0.91652	[0, 0, 0, 1, 0, 3, 0, 0, 0, 0] prizefights	0.3	0.78102	[1, 2, 0, 0, -1, 0, 0, 1, 0, 0] prizer	1.0	1.0	[0, 3, 0, 0, 2, 1, 2, 1, 0, 1] prizers	0.8	0.9798	[2, 0, 0, 1, 3, 1, 0, 1, 0, 0] prizes	2.0	1.09545	[3, 3, 2, 0, 2, 1, 2, 4, 1, 2] prizewinner	2.3	1.00499	[3, 0, 3, 3, 2, 2, 2, 4, 2, 2] prizewinners	2.4	1.11355	[4, 2, 2, 2, 0, 4, 2, 3, 3, 2] prizewinning	3.0	0.7746	[3, 3, 3, 3, 3, 4, 3, 1, 3, 4] proactive	1.8	0.87178	[2, 3, 3, 1, 1, 1, 1, 3, 1, 2] problem	-1.7	0.64031	[-2, -2, -1, -1, -1, -3, -1, -2, -2, -2] problematic	-1.9	0.53852	[-1, -2, -2, -2, -2, -3, -2, -1, -2, -2] problematical	-1.8	0.6	[-3, -1, -1, -2, -2, -2, -2, -2, -1, -2] problematically	-2.0	1.0	[-2, -1, -3, -1, -1, -2, -4, -3, -1, -2] problematics	-1.3	1.1	[0, -1, -1, 0, -2, -1, -4, -1, -2, -1] problems	-1.7	0.78102	[-2, -1, -1, -3, -2, -1, -3, -1, -1, -2] profit	1.9	0.7	[2, 3, 2, 1, 2, 1, 3, 1, 2, 2] profitabilities	1.1	0.7	[1, 1, 3, 1, 1, 1, 1, 0, 1, 1] profitability	1.1	1.44568	[1, 1, -2, 2, 0, 3, 1, 3, 2, 0] profitable	1.9	0.9434	[2, 3, 0, 3, 1, 2, 1, 3, 2, 2] profitableness	2.4	1.11355	[1, 4, 2, 4, 2, 2, 4, 2, 1, 2] profitably	1.6	0.91652	[1, 2, 0, 3, 1, 3, 1, 1, 2, 2] profited	1.3	1.00499	[2, 2, 2, 1, 0, 0, 1, 3, 0, 2] profiteer	0.8	1.6	[2, -2, -1, 3, -1, 2, 1, 2, 0, 2] profiteered	-0.5	1.9105	[0, 0, 2, -2, -3, -2, 3, 0, -3, 0] profiteering	-0.6	2.05913	[-1, 2, -2, -4, -2, 2, 1, -2, 2, -2] profiteers	0.5	1.5	[-2, 1, -1, -1, 1, -1, 2, 2, 2, 2] profiter	0.7	1.55242	[2, 2, 2, 1, -1, 1, -1, 3, 0, -2] profiterole	0.4	0.66332	[0, 0, 0, 0, 0, 1, 0, 1, 2, 0] profiteroles	0.5	0.92195	[0, 0, -1, 2, 2, 0, 0, 1, 0, 1] profiting	1.6	0.91652	[1, 0, 3, 2, 1, 2, 3, 1, 1, 2] profitless	-1.5	0.92195	[-2, -2, -3, -1, -1, -1, 0, -1, -1, -3] profits	1.9	1.04403	[2, 2, 1, 0, 2, 1, 2, 4, 3, 2] profitwise	0.9	0.83066	[1, 2, 0, 0, 1, 2, 2, 0, 1, 0] progress	1.8	0.74833	[3, 2, 1, 2, 3, 1, 1, 2, 2, 1] prominent	1.3	0.45826	[2, 1, 1, 2, 1, 1, 1, 2, 1, 1] promiscuities	-0.8	1.32665	[-1, 0, -2, -2, -1, 2, -3, -1, 0, 0] promiscuity	-1.8	1.07703	[-1, -2, -4, -2, -3, -1, 0, -2, -1, -2] promiscuous	-0.3	1.34536	[2, -3, -1, -1, 0, -1, 0, -1, 1, 1] promiscuously	-1.5	1.28452	[-2, -1, -3, 2, -2, -2, -1, -2, -2, -2] promiscuousness	-0.9	1.37477	[-3, -1, 1, -2, -2, 1, 1, -1, -2, -1] promise	1.3	0.64031	[1, 0, 1, 1, 2, 2, 1, 1, 2, 2] promised	1.5	0.92195	[2, 1, 1, 0, 0, 2, 2, 3, 2, 2] promisee	0.8	0.87178	[2, 1, 0, 0, 0, 2, 0, 2, 1, 0] promisees	1.1	0.9434	[2, 0, 1, 0, 0, 0, 2, 2, 2, 2] promiser	1.3	0.9	[2, 1, 1, 0, 0, 2, 2, 3, 1, 1] promisers	1.6	0.4899	[2, 1, 2, 1, 2, 1, 2, 1, 2, 2] promises	1.6	0.8	[2, 1, 1, 0, 2, 1, 3, 2, 2, 2] promising	1.7	0.45826	[1, 2, 2, 1, 2, 2, 1, 2, 2, 2] promisingly	1.2	0.6	[2, 2, 1, 1, 1, 2, 1, 0, 1, 1] promisor	1.0	0.63246	[2, 2, 0, 1, 1, 1, 0, 1, 1, 1] promisors	0.4	0.8	[0, 0, 0, 2, 0, 2, 0, 0, 0, 0] promissory	0.9	1.13578	[2, 0, 0, 3, 0, 2, 2, 0, 0, 0] promote	1.6	0.8	[2, 1, 2, 3, 0, 1, 2, 2, 1, 2] promoted	1.8	0.74833	[2, 2, 1, 1, 1, 2, 2, 1, 3, 3] promotes	1.4	0.91652	[1, 2, 0, 0, 1, 2, 2, 1, 3, 2] promoting	1.5	0.67082	[1, 2, 2, 1, 2, 1, 2, 0, 2, 2] propaganda	-1.0	1.54919	[-2, -3, -2, -3, -2, 1, -1, 1, 0, 1] prosecute	-1.7	1.00499	[-2, -2, -2, -1, -1, -2, 0, -1, -4, -2] prosecuted	-1.6	1.95959	[-2, -2, -2, -3, -3, -3, -4, 2, 2, -1] prosecutes	-1.8	1.53623	[-2, -2, -2, -3, -2, -2, -4, 1, 1, -3] prosecution	-2.2	1.07703	[-4, -1, -2, -2, -3, -2, -1, -4, -1, -2] prospect	1.2	0.87178	[1, 3, 1, 0, 2, 2, 1, 0, 1, 1] prospects	1.2	0.6	[2, 1, 1, 1, 1, 0, 1, 2, 2, 1] prosperous	2.1	1.86815	[-3, 3, 3, 2, 4, 2, 3, 3, 3, 1] protect	1.6	0.8	[1, 3, 1, 1, 1, 1, 3, 2, 1, 2] protected	1.9	0.7	[1, 1, 2, 3, 2, 2, 2, 1, 3, 2] protects	1.3	0.78102	[2, 2, 0, 2, 1, 1, 0, 2, 2, 1] protest	-1.0	1.34164	[-2, -1, -1, -2, -1, -2, 1, -2, 2, -2] protested	-0.5	1.62788	[-2, -3, -1, -1, 0, 2, 2, -2, 1, -1] protesters	-0.9	0.7	[0, 0, 0, -1, -2, -2, -1, -1, -1, -1] protesting	-1.8	0.74833	[-2, -2, -1, -2, -1, -1, -2, -1, -3, -3] protests	-0.9	1.57797	[-2, -2, 2, 0, -1, -2, -2, -2, 2, -2] proud	2.1	0.3	[2, 3, 2, 2, 2, 2, 2, 2, 2, 2] prouder	2.2	1.16619	[2, 3, 3, 4, 0, 1, 1, 3, 2, 3] proudest	2.6	0.66332	[4, 2, 2, 2, 2, 3, 2, 3, 3, 3] proudful	1.9	1.51327	[3, 3, 0, 1, -1, 1, 4, 3, 2, 3] proudhearted	1.4	0.91652	[2, -1, 1, 2, 2, 1, 2, 2, 2, 1] proudly	2.6	0.4899	[2, 2, 3, 3, 2, 3, 3, 3, 2, 3] provoke	-1.7	0.64031	[-2, -2, -1, -1, -1, -2, -2, -1, -3, -2] provoked	-1.1	0.83066	[-1, -1, 0, -2, -2, -2, -2, 0, 0, -1] provokes	-1.3	0.78102	[-2, -2, -1, -2, -1, -2, -2, 0, 0, -1] provoking	-0.8	1.249	[-2, -2, -1, -2, 1, -1, 1, 1, -1, -2] pseudoscience	-1.2	1.32665	[-1, -1, -3, -4, 0, 0, -2, 0, 0, -1] puke	-2.4	1.0198	[-1, -3, -3, -2, -4, -4, -2, -1, -2, -2] puked	-1.8	0.6	[-1, -2, -2, -3, -1, -1, -2, -2, -2, -2] pukes	-1.9	0.7	[-1, -2, -3, -3, -1, -1, -2, -2, -2, -2] puking	-1.8	1.46969	[0, -2, -4, -3, -2, -3, 1, -1, -1, -3] pukka	2.8	0.4	[3, 2, 3, 3, 3, 2, 3, 3, 3, 3] punish	-2.4	0.91652	[-1, -3, -3, -4, -3, -1, -2, -2, -2, -3] punishabilities	-1.7	0.78102	[0, -2, -3, -2, -1, -2, -2, -1, -2, -2] punishability	-1.6	1.49666	[-2, -2, -1, -1, -2, -2, -3, 2, -4, -1] punishable	-1.9	0.7	[-3, -1, -1, -2, -2, -1, -3, -2, -2, -2] punished	-2.0	0.44721	[-2, -2, -1, -2, -2, -2, -2, -2, -3, -2] punisher	-1.9	0.53852	[-3, -1, -2, -2, -2, -2, -2, -1, -2, -2] punishers	-2.6	0.8	[-3, -3, -3, -3, -2, -2, -4, -2, -1, -3] punishes	-2.1	0.7	[-3, -2, -3, -2, -1, -2, -2, -3, -1, -2] punishing	-2.6	0.8	[-2, -3, -3, -3, -4, -1, -3, -2, -2, -3] punishment	-2.2	0.6	[-2, -1, -2, -2, -3, -3, -2, -2, -2, -3] punishments	-1.8	0.6	[-2, -2, -2, -1, -1, -2, -2, -3, -1, -2] punitive	-2.3	0.78102	[-4, -2, -3, -1, -2, -2, -2, -2, -3, -2] pushy	-1.1	0.83066	[-2, -2, -1, -1, -1, 1, -1, -2, -1, -1] puzzled	-0.7	0.45826	[0, 0, -1, -1, 0, -1, -1, -1, -1, -1] quaking	-1.5	0.67082	[-1, -2, -2, -2, -1, 0, -2, -1, -2, -2] questionable	-1.2	0.4	[-1, -1, -1, -1, -1, -1, -1, -2, -2, -1] questioned	-0.4	1.0198	[-2, 0, 0, -1, -1, 2, 0, 0, -1, -1] questioning	-0.4	0.66332	[0, -1, -1, 0, 0, 0, -2, 0, 0, 0] racism	-3.1	0.9434	[-4, -4, -4, -2, -3, -4, -2, -2, -2, -4] racist	-3.0	0.89443	[-1, -3, -3, -4, -3, -4, -4, -2, -3, -3] racists	-2.5	0.92195	[-3, 0, -3, -2, -2, -3, -3, -3, -3, -3] radian	0.4	0.66332	[0, 0, 0, 0, 0, 0, 1, 2, 0, 1] radiance	1.4	1.11355	[3, 1, 2, 3, 1, 1, -1, 1, 2, 1] radiances	1.1	0.53852	[1, 2, 2, 1, 1, 1, 0, 1, 1, 1] radiancies	0.8	1.16619	[-1, 0, 3, 1, 1, 1, 1, 2, -1, 1] radiancy	1.4	0.66332	[2, 1, 1, 3, 1, 1, 1, 1, 2, 1] radians	0.2	0.6	[0, 2, 0, 0, 0, 0, 0, 0, 0, 0] radiant	2.1	0.83066	[4, 2, 2, 2, 2, 1, 1, 3, 2, 2] radiantly	1.3	0.78102	[3, 2, 1, 1, 1, 1, 1, 0, 1, 2] radiants	1.2	0.6	[2, 1, 0, 2, 1, 1, 1, 2, 1, 1] rage	-2.6	0.8	[-3, -2, -2, -3, -3, -4, -1, -2, -3, -3] raged	-2.0	0.63246	[-2, -1, -1, -3, -3, -2, -2, -2, -2, -2] ragee	-0.4	1.42829	[-2, -1, 0, 3, 0, -2, -2, 0, 0, 0] rageful	-2.8	0.6	[-3, -3, -3, -3, -2, -4, -2, -3, -2, -3] rages	-2.1	0.7	[-3, -1, -1, -3, -3, -2, -2, -2, -2, -2] raging	-2.4	1.0198	[-1, -3, -3, -1, -3, -3, -1, -4, -2, -3] rainy	-0.3	0.64031	[-1, 0, 1, 0, 0, 0, -1, 0, -1, -1] rancid	-2.5	1.11803	[-3, -3, -3, -2, -3, 0, -3, -1, -4, -3] rancidity	-2.6	0.8	[-4, -3, -3, -2, -2, -2, -2, -2, -2, -4] rancidly	-2.5	1.20416	[-2, -1, -4, -3, -4, -1, -2, -3, -4, -1] rancidness	-2.6	0.91652	[-3, -4, -2, -3, -4, -2, -3, -1, -2, -2] rancidnesses	-1.6	0.4899	[-2, -1, -2, -1, -1, -2, -2, -2, -1, -2] rant	-1.4	0.66332	[-1, -2, -2, -1, -2, -2, -2, -1, 0, -1] ranter	-1.2	1.16619	[-1, -2, -2, -2, -1, -1, -1, -2, 2, -2] ranters	-1.2	0.87178	[-1, -1, -1, 0, -1, -1, -3, -2, 0, -2] rants	-1.3	0.45826	[-1, -1, -1, -2, -1, -1, -1, -2, -2, -1] rape	-3.7	0.64031	[-4, -2, -4, -4, -4, -4, -4, -4, -3, -4] raped	-3.6	0.4899	[-3, -3, -4, -4, -3, -4, -4, -4, -3, -4] raper	-3.4	0.66332	[-3, -3, -4, -4, -3, -3, -4, -4, -2, -4] rapers	-3.6	0.66332	[-2, -4, -4, -3, -4, -3, -4, -4, -4, -4] rapes	-3.5	0.67082	[-4, -3, -4, -4, -3, -4, -4, -3, -2, -4] rapeseeds	-0.5	1.20416	[0, 0, 0, 0, 0, -4, 0, 0, -1, 0] raping	-3.8	0.4	[-3, -4, -4, -4, -4, -4, -4, -4, -3, -4] rapist	-3.9	0.3	[-4, -4, -4, -4, -4, -4, -3, -4, -4, -4] rapists	-3.3	0.64031	[-3, -3, -4, -3, -4, -3, -4, -2, -4, -3] rapture	0.6	2.2891	[-2, 2, -2, 3, 3, 4, -1, -1, 2, -2] raptured	0.9	1.97231	[0, -2, 0, 2, 4, -1, 4, -1, 1, 2] raptures	0.7	2.05183	[0, -2, 0, 2, 4, -2, 4, -1, 1, 1] rapturous	1.7	1.95192	[3, 4, 0, 3, 2, 2, 4, -2, -1, 2] rash	-1.7	0.78102	[-2, -1, -1, -3, -2, -2, -1, -1, -1, -3] ratified	0.6	0.4899	[1, 0, 0, 1, 1, 0, 1, 1, 0, 1] reach	0.1	0.3	[0, 0, 0, 0, 0, 0, 0, 1, 0, 0] reached	0.4	0.4899	[1, 0, 0, 0, 1, 1, 0, 1, 0, 0] reaches	0.2	0.4	[0, 0, 0, 1, 0, 1, 0, 0, 0, 0] reaching	0.8	0.6	[1, 0, 2, 0, 1, 0, 1, 1, 1, 1] readiness	1.0	0.63246	[1, 1, 1, 1, 0, 1, 2, 1, 2, 0] ready	1.5	1.0247	[2, 1, 1, 0, 2, 2, 1, 1, 1, 4] reassurance	1.5	0.5	[1, 1, 1, 1, 2, 1, 2, 2, 2, 2] reassurances	1.4	0.8	[0, 1, 1, 2, 1, 1, 1, 2, 3, 2] reassure	1.4	0.4899	[2, 2, 1, 1, 2, 1, 2, 1, 1, 1] reassured	1.7	0.45826	[2, 1, 1, 1, 2, 2, 2, 2, 2, 2] reassures	1.5	0.92195	[2, 1, 1, 2, 2, 2, -1, 2, 2, 2] reassuring	1.7	1.48661	[3, 3, 2, -2, 1, 3, 3, 2, 1, 1] reassuringly	1.8	0.87178	[1, 3, 2, 1, 2, 3, 3, 1, 1, 1] rebel	-0.6	1.49666	[-2, -1, -1, 0, -2, -1, 2, 1, 1, -3] rebeldom	-1.5	1.0247	[-2, -2, -1, -3, -2, -2, -1, 1, -1, -2] rebelled	-1.0	1.26491	[-2, -2, 0, -2, 0, -2, -2, -1, -1, 2] rebelling	-1.1	1.51327	[-3, -1, -2, -1, -2, -1, -1, -3, 2, 1] rebellion	-0.5	1.80278	[-2, -2, -1, -1, 3, -1, 1, -3, 2, -1] rebellions	-1.1	1.57797	[-2, -4, -3, 0, 0, -1, 1, -2, -1, 1] rebellious	-1.2	1.249	[-2, -1, -3, -1, -2, -2, 1, -1, 1, -2] rebelliously	-1.8	0.87178	[-3, 0, -2, -2, -1, -2, -3, -1, -2, -2] rebelliousness	-1.2	1.16619	[0, -3, -1, -2, 1, -1, -2, 0, -2, -2] rebels	-0.8	1.07703	[-1, 0, 0, -2, 0, -3, 0, 0, 0, -2] recession	-1.8	1.07703	[-3, -1, -4, -2, -1, -1, -1, -1, -3, -1] reckless	-1.7	0.64031	[-2, -1, -1, -3, -1, -2, -1, -2, -2, -2] recommend	1.5	0.67082	[1, 1, 1, 1, 2, 3, 2, 2, 1, 1] recommended	0.8	1.07703	[1, 1, 0, -2, 1, 2, 1, 2, 1, 1] recommends	0.9	0.9434	[1, 1, 2, 0, 0, 2, 1, -1, 2, 1] redeemed	1.3	0.9	[2, 1, 2, 2, 1, -1, 2, 1, 2, 1] reek	-2.4	0.66332	[-3, -3, -2, -3, -3, -2, -2, -2, -1, -3] reeked	-2.0	1.09545	[-4, -3, -2, -3, -1, -2, 0, -1, -2, -2] reeker	-1.7	1.1	[0, -2, -1, 0, -3, -3, -2, -1, -3, -2] reekers	-1.5	1.0247	[-3, 0, 0, 0, -2, -2, -2, -2, -2, -2] reeking	-2.0	1.48324	[2, -2, -2, -3, -3, -3, -1, -3, -3, -2] refuse	-1.2	0.4	[-1, -1, -1, -1, -1, -1, -1, -2, -2, -1] refused	-1.2	0.74833	[0, -1, -1, -1, -1, -1, -2, -1, -3, -1] refusing	-1.7	0.64031	[-1, -1, -1, -2, -2, -2, -3, -1, -2, -2] regret	-1.8	0.6	[-2, -2, -2, -2, -1, -3, -1, -1, -2, -2] regretful	-1.9	0.83066	[-1, -2, -1, -2, -1, -2, -1, -3, -3, -3] regretfully	-1.9	0.83066	[-1, -1, -1, -3, -2, -3, -1, -3, -2, -2] regretfulness	-1.6	0.66332	[-1, -3, -1, -1, -1, -2, -1, -2, -2, -2] regrets	-1.5	0.5	[-2, -2, -2, -1, -2, -1, -1, -2, -1, -1] regrettable	-2.3	0.78102	[-3, -1, -2, -1, -3, -2, -3, -3, -2, -3] regrettably	-2.0	0.63246	[-2, -3, -1, -3, -2, -1, -2, -2, -2, -2] regretted	-1.6	0.4899	[-2, -1, -2, -2, -2, -2, -1, -1, -1, -2] regretter	-1.6	0.66332	[-2, -1, -2, -2, -3, -2, -1, -1, -1, -1] regretters	-2.0	0.89443	[-1, -2, -2, -2, -4, -3, -1, -1, -2, -2] regretting	-1.7	0.78102	[-3, -2, -2, -1, -3, -1, -1, -1, -2, -1] reinvigorate	2.3	0.78102	[3, 3, 3, 2, 3, 1, 2, 1, 2, 3] reinvigorated	1.9	1.13578	[2, 2, 3, 1, 2, 3, 3, -1, 2, 2] reinvigorates	1.8	0.9798	[2, 2, 3, 0, 2, 2, 3, 0, 2, 2] reinvigorating	1.7	0.64031	[1, 2, 1, 1, 2, 2, 2, 1, 3, 2] reinvigoration	2.2	0.4	[2, 2, 2, 3, 2, 3, 2, 2, 2, 2] reject	-1.7	0.64031	[-1, -2, -2, -2, -1, -3, -1, -1, -2, -2] rejected	-2.3	0.45826	[-3, -2, -3, -3, -2, -2, -2, -2, -2, -2] rejectee	-2.3	0.45826	[-3, -2, -2, -3, -2, -3, -2, -2, -2, -2] rejectees	-1.8	0.4	[-2, -2, -1, -2, -2, -2, -2, -2, -2, -1] rejecter	-1.6	0.66332	[-2, -1, -1, -3, -2, -2, -1, -1, -1, -2] rejecters	-1.8	0.6	[-2, -3, -1, -1, -2, -1, -2, -2, -2, -2] rejecting	-2.0	0.7746	[-1, -2, -3, -1, -2, -3, -2, -1, -3, -2] rejectingly	-1.7	0.64031	[-1, -2, -2, -2, -1, -2, -2, -1, -3, -1] rejection	-2.5	0.67082	[-3, -3, -2, -4, -3, -2, -2, -2, -2, -2] rejections	-2.1	0.53852	[-3, -2, -2, -2, -1, -2, -3, -2, -2, -2] rejective	-1.8	0.6	[-3, -2, -2, -2, -1, -1, -2, -2, -1, -2] rejector	-1.8	0.74833	[-2, -1, -2, -3, -1, -2, -1, -2, -3, -1] rejects	-2.2	0.4	[-3, -2, -2, -2, -2, -3, -2, -2, -2, -2] rejoice	1.9	0.9434	[2, 3, 1, 3, 1, 3, 1, 3, 1, 1] rejoiced	2.0	0.63246	[2, 1, 2, 3, 2, 2, 3, 1, 2, 2] rejoices	2.1	0.7	[2, 1, 2, 3, 2, 3, 3, 2, 2, 1] rejoicing	2.8	0.4	[3, 3, 2, 3, 3, 3, 2, 3, 3, 3] relax	1.9	1.13578	[2, 1, 1, 1, 4, 4, 2, 1, 1, 2] relaxant	1.0	0.89443	[2, 1, 0, 0, 1, 0, 1, 3, 1, 1] relaxants	0.7	0.9	[0, 1, 1, 0, -1, 2, 1, 2, 1, 0] relaxation	2.4	0.4899	[3, 2, 3, 2, 2, 3, 3, 2, 2, 2] relaxations	1.0	0.89443	[-1, 0, 2, 1, 1, 2, 1, 2, 1, 1] relaxed	2.2	0.87178	[2, 3, 1, 3, 3, 3, 1, 2, 1, 3] relaxedly	1.5	0.5	[2, 2, 1, 1, 2, 1, 2, 2, 1, 1] relaxedness	2.0	0.63246	[2, 2, 3, 1, 3, 2, 2, 2, 1, 2] relaxer	1.6	0.8	[0, 2, 1, 2, 1, 3, 1, 2, 2, 2] relaxers	1.4	0.4899	[2, 1, 1, 1, 2, 2, 2, 1, 1, 1] relaxes	1.5	0.5	[2, 1, 1, 1, 1, 2, 2, 2, 1, 2] relaxin	1.7	0.64031	[2, 2, 1, 2, 0, 2, 2, 2, 2, 2] relaxing	2.2	0.6	[1, 2, 2, 2, 2, 3, 3, 3, 2, 2] relaxins	1.2	1.4	[1, 3, 2, 1, 0, 1, -2, 3, 2, 1] relentless	0.2	1.07703	[3, -1, 0, -1, 0, 1, 0, 0, 0, 0] reliant	0.5	1.20416	[0, 2, -1, 1, 0, 1, 2, -1, 2, -1] relief	2.1	0.53852	[2, 2, 2, 3, 2, 3, 2, 1, 2, 2] reliefs	1.3	0.78102	[1, 2, 2, 2, 2, 2, 0, 0, 1, 1] relievable	1.1	1.22066	[1, -2, 1, 1, 1, 1, 3, 2, 1, 2] relieve	1.5	0.5	[1, 2, 1, 2, 1, 1, 2, 2, 1, 2] relieved	1.6	0.66332	[2, 1, 2, 1, 1, 3, 2, 1, 1, 2] relievedly	1.4	0.4899	[1, 2, 1, 1, 1, 2, 2, 2, 1, 1] reliever	1.5	0.80623	[2, 1, 2, 2, 1, 2, 0, 1, 1, 3] relievers	1.0	0.63246	[1, 1, 1, 1, 2, 0, 2, 0, 1, 1] relieves	1.5	0.80623	[2, 1, 2, 2, 1, 2, 0, 1, 1, 3] relieving	1.5	1.0247	[2, 2, 1, 2, 3, -1, 2, 1, 1, 2] relievo	1.3	1.00499	[0, 2, 1, 2, 2, -1, 2, 2, 2, 1] relishing	1.6	0.8	[1, 2, 1, 3, 2, 3, 1, 1, 1, 1] reluctance	-1.4	0.4899	[-2, -2, -1, -1, -1, -1, -2, -1, -2, -1] reluctancy	-1.6	0.8	[-3, -2, -1, -1, -1, -1, -2, -1, -3, -1] reluctant	-1.0	0.7746	[0, -1, 0, -1, -1, 0, -1, -2, -2, -2] reluctantly	-0.4	1.42829	[-1, 2, -1, -2, -2, -1, 1, -1, 2, -1] remarkable	2.6	1.0198	[3, 4, 3, 2, 2, 3, 3, 0, 3, 3] remorse	-1.1	1.51327	[-3, -1, -3, 1, 2, -2, -1, -1, -2, -1] remorseful	-0.9	2.07123	[-1, 1, -2, -3, 2, -1, -3, -2, 3, -3] remorsefully	-0.7	1.34536	[-1, -1, 0, -1, -2, -1, -1, 1, -3, 2] remorsefulness	-0.7	1.61555	[-1, -2, 2, -2, -2, -1, 0, -3, 2, 0] remorseless	-2.3	0.64031	[-4, -2, -2, -2, -3, -2, -2, -2, -2, -2] remorselessly	-2.0	1.09545	[-3, -3, -3, -2, -1, -1, -4, -1, -1, -1] remorselessness	-2.8	1.16619	[-3, -4, -2, -2, -3, -4, -1, -1, -4, -4] repetitive	-1.0	0.06325	[-1, -1, 0, -2, -1, -2, -1, -1, 0, -1] repress	-1.4	0.66332	[-1, -1, -3, -2, -1, -1, -2, -1, -1, -1] repressed	-1.3	0.78102	[-1, 0, -3, -1, -1, -2, -1, -1, -2, -1] represses	-1.3	1.00499	[-1, 0, -3, -1, 0, -3, -1, -1, -2, -1] repressible	-1.5	0.92195	[-1, -2, -3, -1, 0, -1, -3, -1, -2, -1] repressing	-1.8	0.6	[-1, -2, -2, -2, -1, -3, -2, -1, -2, -2] repression	-1.6	0.91652	[-2, -2, -1, -1, -1, -1, -4, -1, -2, -1] repressions	-1.7	1.00499	[-2, -3, -1, -2, -2, -3, -2, 0, 0, -2] repressive	-1.4	1.11355	[-3, -1, -1, -2, -1, -3, 1, -2, -1, -1] repressively	-1.7	0.45826	[-2, -1, -2, -2, -2, -2, -2, -2, -1, -1] repressiveness	-1.0	1.73205	[-2, -1, -2, -3, -1, -1, 1, -3, 3, -1] repressor	-1.4	1.28062	[-1, 0, -3, -1, -2, -4, 0, -1, 0, -2] repressors	-2.2	1.66132	[-2, -4, 0, -2, -1, -3, -4, -3, 1, -4] repressurize	-0.3	0.64031	[0, 0, 0, 0, 0, 0, -2, 0, -1, 0] repressurized	0.1	0.3	[0, 0, 0, 0, 1, 0, 0, 0, 0, 0] repressurizes	0.1	0.3	[0, 0, 0, 0, 1, 0, 0, 0, 0, 0] repressurizing	-0.1	0.3	[0, 0, 0, 0, -1, 0, 0, 0, 0, 0] repulse	-2.8	0.4	[-3, -3, -3, -3, -2, -3, -3, -3, -2, -3] repulsed	-2.2	0.9798	[0, -2, -2, -2, -3, -3, -1, -3, -3, -3] rescue	2.3	0.78102	[1, 3, 1, 3, 2, 3, 3, 2, 2, 3] rescued	1.8	1.53623	[3, 2, 2, -2, 3, 2, 1, 4, 1, 2] rescues	1.3	0.78102	[3, 2, 0, 2, 1, 1, 1, 1, 1, 1] resent	-0.7	1.26886	[-2, -2, 0, -1, -1, -1, -2, 1, 2, -1] resented	-1.6	1.35647	[-2, -3, -2, -2, -1, -1, 2, -3, -2, -2] resentence	-1.0	0.7746	[-1, 0, -1, -1, 0, -2, -1, 0, -2, -2] resentenced	-0.8	0.9798	[0, -2, -1, 0, -1, 0, 0, 0, -3, -1] resentences	-0.6	0.8	[0, -2, -1, 0, -1, 0, 0, 0, -2, 0] resentencing	0.2	0.87178	[-1, -1, 0, 1, 0, 0, 1, 2, 0, 0] resentful	-2.1	0.83066	[-3, -1, -2, -3, -1, -1, -3, -2, -2, -3] resentfully	-1.4	1.11355	[-1, -2, -1, -1, -3, 1, -1, -3, -1, -2] resentfulness	-2.0	0.7746	[-2, -2, -3, -3, -2, -3, -2, -1, -1, -1] resenting	-1.2	1.72047	[-2, -1, -2, -2, -1, -3, -3, 2, 2, -2] resentment	-1.9	0.83066	[-1, -3, -2, -3, -2, -3, -1, -1, -1, -2] resentments	-1.9	0.7	[-2, -1, -2, -3, -1, -2, -2, -2, -1, -3] resents	-1.2	1.32665	[-2, -1, -1, -3, 1, -1, 1, -3, -2, -1] resign	-1.4	0.66332	[-2, -1, -3, -1, -1, -1, -1, -2, -1, -1] resignation	-1.2	0.4	[-1, -1, -1, -2, -1, -1, -1, -1, -2, -1] resignations	-1.2	0.6	[0, -1, -1, -2, -2, -2, -1, -1, -1, -1] resigned	-1.0	0.63246	[-2, -1, 0, -1, -2, -1, -1, -1, 0, -1] resignedly	-0.7	1.26886	[-3, -1, -1, -1, -1, 1, 1, 1, -2, -1] resignedness	-0.8	1.07703	[-1, -2, 1, -2, -1, -1, 0, -2, -1, 1] resigner	-1.2	0.6	[-2, -1, 0, -1, -2, -2, -1, -1, -1, -1] resigners	-1.0	1.09545	[-1, 0, -1, -3, -1, 0, 0, -1, -3, 0] resigning	-0.9	1.22066	[-1, -1, -1, -1, -1, 0, -1, -3, -2, 2] resigns	-1.3	0.9	[0, -1, -1, 0, -2, -1, -3, -1, -2, -2] resolute	1.1	0.53852	[2, 1, 0, 1, 1, 1, 2, 1, 1, 1] resolvable	1.0	0.0	[1, 1, 1, 1, 1, 1, 1, 1, 1, 1] resolve	1.6	0.66332	[2, 1, 1, 2, 2, 1, 3, 1, 1, 2] resolved	0.7	0.78102	[1, 2, 0, 1, 1, 0, 2, 0, 0, 0] resolvent	0.7	0.78102	[1, 0, 1, 2, 0, -1, 1, 1, 1, 1] resolvents	0.4	0.66332	[2, 0, 0, 1, 0, 0, 1, 0, 0, 0] resolver	0.7	0.78102	[1, 2, 0, 1, 1, 0, 2, 0, 0, 0] resolvers	1.4	0.4899	[2, 1, 2, 1, 1, 1, 2, 1, 2, 1] resolves	0.7	0.78102	[1, 2, 0, 1, 1, 0, 2, 0, 0, 0] resolving	1.6	0.4899	[2, 2, 1, 2, 2, 1, 1, 1, 2, 2] respect	2.1	0.53852	[2, 2, 2, 2, 3, 3, 2, 2, 1, 2] respectabilities	1.8	0.4	[2, 2, 2, 1, 2, 2, 2, 1, 2, 2] respectability	2.4	0.8	[4, 1, 3, 2, 3, 3, 2, 2, 2, 2] respectable	1.9	0.7	[2, 2, 2, 2, 1, 3, 3, 1, 1, 2] respectableness	1.2	1.32665	[2, 1, 1, 0, 3, 2, -2, 2, 2, 1] respectably	1.7	0.78102	[2, 2, 1, 3, 1, 3, 2, 1, 1, 1] respected	2.1	0.7	[2, 2, 1, 2, 3, 1, 2, 3, 3, 2] respecter	2.1	0.53852	[3, 2, 2, 2, 2, 2, 1, 3, 2, 2] respecters	1.6	0.8	[2, 1, 2, 2, 3, 1, 2, 2, 0, 1] respectful	2.0	0.7746	[1, 1, 3, 2, 2, 3, 1, 2, 3, 2] respectfully	1.7	0.64031	[1, 2, 1, 2, 2, 2, 1, 3, 1, 2] respectfulness	1.9	1.37477	[4, 2, 2, 1, 2, 4, -1, 1, 2, 2] respectfulnesses	1.3	1.18743	[1, 1, 2, 2, 2, 2, 2, 1, -2, 2] respecting	2.2	0.6	[1, 3, 2, 3, 2, 2, 3, 2, 2, 2] respective	1.8	1.16619	[2, 2, 3, 0, 1, 3, 3, 1, 0, 3] respectively	1.4	0.91652	[0, 0, 2, 2, 0, 2, 2, 2, 2, 2] respectiveness	1.1	1.04403	[0, 2, 1, 0, 1, 0, 2, 2, 0, 3] respects	1.3	1.00499	[2, 0, 0, 0, 2, 1, 2, 1, 2, 3] responsible	1.3	1.1	[1, 1, 0, 4, 2, 2, 1, 0, 1, 1] responsive	1.5	0.92195	[3, 1, 1, 0, 1, 1, 2, 3, 2, 1] restful	1.5	0.67082	[1, 1, 1, 1, 2, 1, 2, 1, 2, 3] restless	-1.1	0.3	[-1, -1, -1, -1, -1, -1, -2, -1, -1, -1] restlessly	-1.4	0.91652	[-1, -4, -1, -1, -1, -2, -1, -1, -1, -1] restlessness	-1.2	0.74833	[-3, -1, -1, 0, -1, -2, -1, -1, -1, -1] restore	1.2	0.9798	[1, 1, 2, 2, 2, 2, 1, -1, 0, 2] restored	1.4	0.91652	[2, 2, 1, 2, 1, 2, 2, 1, -1, 2] restores	1.2	0.6	[2, 1, 1, 2, 1, 0, 1, 1, 2, 1] restoring	1.2	0.4	[2, 1, 1, 1, 1, 2, 1, 1, 1, 1] restrict	-1.6	0.8	[-3, -1, -1, -1, -3, -1, -2, -1, -1, -2] restricted	-1.6	0.4899	[-1, -2, -1, -1, -1, -2, -2, -2, -2, -2] restricting	-1.6	0.4899	[-2, -2, -2, -2, -1, -2, -1, -1, -2, -1] restriction	-1.1	0.9434	[-1, -1, -1, -1, -3, 1, -2, -1, -1, -1] restricts	-1.3	1.1	[-2, -2, -3, -1, -1, -2, 1, -1, -2, 0] retained	0.1	0.7	[-1, 1, 1, 1, 0, -1, 0, 0, 0, 0] retard	-2.4	0.8	[-2, -2, -2, -1, -3, -2, -4, -3, -3, -2] retarded	-2.7	1.26886	[-4, -1, -3, -3, -4, -4, -2, -1, -1, -4] retreat	0.8	1.07703	[2, 2, 0, 0, -1, 1, 2, 0, 2, 0] revenge	-2.4	0.66332	[-2, -3, -2, -3, -3, -3, -2, -1, -2, -3] revenged	-0.9	1.37477	[-2, -3, -2, -1, -1, 2, -1, 1, -1, -1] revengeful	-2.4	0.4899	[-2, -2, -2, -3, -3, -2, -3, -3, -2, -2] revengefully	-1.4	2.00998	[-3, -2, -2, -2, 3, 2, -3, -3, -2, -2] revengefulness	-2.2	0.87178	[-2, -3, -3, -2, -2, -2, -1, -4, -1, -2] revenger	-2.1	0.83066	[-2, -3, -2, -1, -1, -2, -3, -3, -1, -3] revengers	-2.0	0.44721	[-2, -2, -3, -2, -2, -2, -1, -2, -2, -2] revenges	-1.9	0.7	[-2, -3, -2, -1, -1, -2, -3, -2, -1, -2] revered	2.3	1.1	[3, 3, 1, 3, 3, 3, 0, 3, 3, 1] revive	1.4	1.11355	[4, 0, 2, 1, 1, 0, 2, 2, 1, 1] revives	1.6	0.4899	[1, 1, 2, 2, 1, 2, 2, 2, 1, 2] reward	2.7	0.78102	[3, 4, 1, 2, 3, 3, 2, 3, 3, 3] rewardable	2.0	1.0	[3, 1, 4, 3, 1, 2, 1, 2, 2, 1] rewarded	2.2	0.74833	[1, 2, 3, 2, 2, 4, 2, 2, 2, 2] rewarder	1.6	0.8	[1, 2, 3, 1, 1, 3, 2, 1, 1, 1] rewarders	1.9	0.83066	[1, 2, 2, 1, 3, 3, 1, 2, 1, 3] rewarding	2.4	0.8	[3, 4, 2, 2, 1, 3, 3, 2, 2, 2] rewardingly	2.4	0.8	[3, 2, 3, 4, 3, 2, 2, 2, 1, 2] rewards	2.1	0.83066	[2, 1, 3, 4, 2, 2, 2, 2, 1, 2] rich	2.6	0.8	[2, 3, 2, 4, 4, 3, 2, 2, 2, 2] richened	1.9	0.83066	[3, 2, 2, 1, 3, 1, 2, 3, 1, 1] richening	1.0	1.34164	[2, 2, 0, 0, -1, 1, 2, 3, -1, 2] richens	0.8	0.9798	[1, 0, 3, 0, 0, 0, 1, 2, 1, 0] richer	2.4	1.2	[1, 4, 2, 1, 2, 4, 4, 1, 3, 2] riches	2.4	1.0198	[2, 4, 1, 1, 2, 4, 3, 2, 3, 2] richest	2.4	1.11355	[4, 4, 2, 2, 3, 0, 2, 2, 3, 2] richly	1.9	0.53852	[2, 2, 2, 2, 3, 1, 2, 2, 1, 2] richness	2.2	0.74833	[2, 3, 2, 2, 2, 2, 2, 1, 4, 2] richnesses	2.1	0.9434	[2, 1, 2, 2, 3, 1, 3, 1, 4, 2] richweed	0.1	0.3	[0, 0, 0, 0, 0, 0, 0, 1, 0, 0] richweeds	-0.1	0.3	[0, 0, 0, 0, 0, 0, 0, 0, 0, -1] ridicule	-2.0	0.63246	[-2, -2, -2, -2, -3, -2, -1, -2, -1, -3] ridiculed	-1.5	0.5	[-1, -1, -1, -2, -2, -2, -1, -2, -1, -2] ridiculer	-1.6	0.91652	[-1, -1, -1, -2, -2, 0, -1, -3, -2, -3] ridiculers	-1.6	0.66332	[-2, -1, -1, -2, -3, -2, -1, -2, -1, -1] ridicules	-1.8	0.6	[-1, -1, -2, -2, -2, -2, -1, -2, -2, -3] ridiculing	-1.8	0.6	[-2, -3, -2, -1, -1, -2, -2, -1, -2, -2] ridiculous	-1.5	0.67082	[-3, -2, -1, -1, -2, -1, -2, -1, -1, -1] ridiculously	-1.4	0.8	[-1, -2, -1, 0, -2, -1, -1, -3, -1, -2] ridiculousness	-1.1	1.51327	[-1, -1, -1, -2, -1, 3, -3, -2, -1, -2] ridiculousnesses	-1.6	1.11355	[-3, 0, -2, -2, -1, -1, -1, -4, -1, -1] rig	-0.5	1.0247	[0, 0, 0, 0, -2, 0, 0, 0, -3, 0] rigged	-1.5	1.0247	[-2, -3, -2, -1, -1, -2, 1, -1, -2, -2] rigid	-0.5	0.67082	[-2, -1, 0, 0, 0, 0, 0, -1, -1, 0] rigidification	-1.1	0.9434	[-1, -2, 0, 0, 0, -2, -2, -2, 0, -2] rigidifications	-0.8	0.9798	[-2, -1, 0, 0, -2, -1, 0, 1, -2, -1] rigidified	-0.7	1.00499	[0, -1, 0, 0, 0, 0, -2, 0, -1, -3] rigidifies	-0.6	0.8	[0, -1, 0, 0, 0, 0, -2, 0, -1, -2] rigidify	-0.3	0.64031	[0, 0, 0, 0, -1, 0, 0, 0, -2, 0] rigidities	-0.7	0.78102	[0, -1, 0, 0, 0, 0, -2, -1, -1, -2] rigidity	-0.7	0.64031	[-1, 0, -1, 0, -1, 0, -2, 0, -1, -1] rigidly	-0.7	0.45826	[-1, -1, -1, -1, 0, 0, -1, 0, -1, -1] rigidness	-0.3	1.00499	[0, -1, -1, 0, 2, -1, -1, -1, 1, -1] rigorous	-1.1	1.51327	[-2, -3, 1, 0, 1, 0, -1, -1, -3, -3] rigorously	-0.4	1.28062	[0, 2, 1, 0, -1, 0, -1, -1, -3, -1] riot	-2.6	1.0198	[-3, 0, -3, -2, -3, -3, -3, -4, -3, -2] riots	-2.3	0.78102	[-2, -3, -3, -2, -1, -1, -3, -2, -3, -3] risk	-1.1	0.7	[-1, -1, 0, -2, -1, 0, -2, -2, -1, -1] risked	-0.9	0.7	[-1, -2, 0, 0, -1, 0, -2, -1, -1, -1] risker	-0.8	0.4	[-1, -1, -1, 0, -1, 0, -1, -1, -1, -1] riskier	-1.4	0.91652	[0, -3, -1, 0, -1, -2, -1, -2, -2, -2] riskiest	-1.5	1.0247	[-2, -3, -1, -1, -3, 0, -1, -2, 0, -2] riskily	-0.7	1.34536	[-1, -2, -1, -1, 3, 0, -1, -1, -1, -2] riskiness	-1.3	1.00499	[-3, -1, -1, 0, -1, 0, -1, -3, -2, -1] riskinesses	-1.6	0.91652	[-2, -1, -1, 0, -3, -1, -2, -1, -3, -2] risking	-1.3	1.1	[0, 0, -2, 0, -1, -3, -3, -1, -2, -1] riskless	1.3	0.9	[2, 1, 0, 1, 1, 1, 2, 3, 0, 2] risks	-1.1	0.9434	[-1, 0, -1, -1, 0, 0, -2, -1, -3, -2] risky	-0.8	0.9798	[-1, 1, -1, -1, -1, 0, 0, -1, -3, -1] rob	-2.6	0.8	[-2, -4, -3, -2, -3, -4, -2, -2, -2, -2] robber	-2.6	1.0198	[-4, -1, -2, -3, -2, -1, -4, -3, -3, -3] robed	-0.7	0.9	[-2, 0, 0, 0, 0, -2, 0, -2, -1, 0] robing	-1.5	1.56525	[0, 0, 0, 0, -2, -3, -3, -4, -3, 0] robs	-2.0	1.0	[-2, -1, -3, -2, -2, -1, -4, -3, -1, -1] robust	1.4	1.42829	[1, 0, 0, 1, 4, 0, 2, 3, 3, 0] roflcopter	2.1	0.53852	[2, 2, 2, 1, 3, 2, 3, 2, 2, 2] romance	2.6	0.66332	[2, 3, 4, 2, 3, 2, 3, 2, 3, 2] romanced	2.2	0.87178	[2, 3, 2, 4, 2, 1, 2, 3, 1, 2] romancer	1.3	1.1	[0, 0, 2, 2, 2, 2, 3, 2, 0, 0] romancers	1.7	1.00499	[0, 2, 2, 2, 2, 2, 1, 3, 0, 3] romances	1.3	0.9	[0, 1, 2, 2, 2, 2, 2, 2, 0, 0] romancing	2.0	0.89443	[4, 1, 1, 2, 2, 2, 2, 1, 3, 2] romantic	1.7	0.78102	[2, 2, 2, 1, 2, 3, 2, 2, 0, 1] romantically	1.8	0.87178	[3, 1, 2, 0, 1, 2, 2, 2, 3, 2] romanticise	1.7	1.61555	[-1, 4, 2, 1, 3, 1, 3, 3, 2, -1] romanticised	1.7	0.9	[2, 2, 2, 2, 2, 2, 3, 0, 2, 0] romanticises	1.3	1.1	[2, 2, 1, 1, 1, 2, 3, -1, 2, 0] romanticising	2.7	0.78102	[3, 3, 3, 2, 1, 3, 2, 3, 4, 3] romanticism	2.2	1.32665	[1, 4, 2, 1, 3, 1, 3, 3, 4, 0] romanticisms	2.1	0.9434	[2, 3, 2, 1, 2, 3, 3, 2, 3, 0] romanticist	1.9	1.3	[1, 4, 2, 0, 3, 1, 2, 3, 3, 0] romanticists	1.3	1.00499	[2, 0, 0, 1, 3, 3, 1, 1, 1, 1] romanticization	1.5	1.36015	[1, 3, 2, 2, -1, 2, 0, 1, 4, 1] romanticizations	2.0	1.0	[4, 1, 3, 1, 2, 3, 1, 2, 2, 1] romanticize	1.8	0.9798	[2, 2, 1, 1, 2, 1, 3, 3, 3, 0] romanticized	0.9	1.22066	[0, 1, 1, 3, -1, 0, 1, 1, 3, 0] romanticizes	1.8	0.87178	[2, 3, 2, 1, 2, 3, 0, 1, 2, 2] romanticizing	1.2	1.07703	[0, 1, 2, 1, 3, 0, 1, 1, 0, 3] romantics	1.9	0.83066	[2, 3, 2, 1, 0, 2, 3, 2, 2, 2] rotten	-2.3	0.78102	[-2, -3, -1, -3, -3, -1, -3, -2, -3, -2] rude	-2.0	0.44721	[-2, -1, -3, -2, -2, -2, -2, -2, -2, -2] rudely	-2.2	0.87178	[-3, -2, -3, -1, -2, -4, -2, -2, -1, -2] rudeness	-1.5	0.67082	[-2, -1, -1, -1, -1, -3, -2, -2, -1, -1] ruder	-2.1	0.83066	[-2, -1, -4, -2, -3, -1, -2, -2, -2, -2] ruderal	-0.8	1.46969	[-3, 0, -1, -2, 0, -1, -3, 0, 2, 0] ruderals	-0.4	0.66332	[0, -1, 0, -2, 0, -1, 0, 0, 0, 0] rudesby	-2.0	0.7746	[-2, -3, -2, -2, -1, -3, -1, -1, -2, -3] rudest	-2.5	0.5	[-3, -2, -3, -3, -2, -2, -2, -3, -2, -3] ruin	-2.8	0.87178	[-3, -3, -1, -4, -4, -3, -3, -2, -2, -3] ruinable	-1.6	0.8	[-1, -2, -1, -3, -1, -3, -1, -1, -2, -1] ruinate	-2.8	0.87178	[-4, -4, -3, -3, -1, -3, -3, -3, -2, -2] ruinated	-1.5	1.56525	[0, -4, 0, -4, -1, -2, 0, -1, -3, 0] ruinates	-1.5	1.56525	[0, -4, 0, -4, -1, -2, 0, -1, -3, 0] ruinating	-1.5	1.20416	[-2, -2, -2, -3, 0, -1, 1, -3, -1, -2] ruination	-2.7	1.00499	[-4, -4, -3, -3, -2, -1, -3, -3, -3, -1] ruinations	-1.6	1.35647	[-2, -2, -3, -4, 0, -1, 1, -2, -1, -2] ruined	-2.1	0.7	[-3, -2, -2, -1, -2, -2, -3, -3, -1, -2] ruiner	-2.0	0.63246	[-1, -3, -2, -2, -1, -2, -3, -2, -2, -2] ruing	-1.6	0.91652	[-2, -1, -2, -1, -1, -1, -3, 0, -3, -2] ruining	-1.0	1.94936	[-3, -3, 0, -2, 1, -3, 2, -2, 2, -2] ruinous	-2.7	0.78102	[-2, -3, -3, -3, -3, -4, -2, -3, -1, -3] ruinously	-2.6	0.8	[-3, -2, -2, -3, -1, -3, -4, -2, -3, -3] ruinousness	-1.0	1.09545	[-1, -2, -3, -1, -1, -2, 1, 0, -1, 0] ruins	-1.9	0.9434	[-1, -2, -1, -2, -1, -2, -4, -1, -3, -2] sabotage	-2.4	0.91652	[-3, -3, -3, -2, -2, -4, -2, -3, -1, -1] sad	-2.1	0.9434	[-1, -1, -2, -2, -3, -2, -3, -2, -4, -1] sadden	-2.6	0.4899	[-2, -3, -2, -3, -2, -3, -2, -3, -3, -3] saddened	-2.4	0.4899	[-3, -2, -3, -2, -3, -3, -2, -2, -2, -2] saddening	-2.2	0.4	[-3, -2, -2, -2, -2, -2, -3, -2, -2, -2] saddens	-1.9	0.7	[-3, -1, -1, -1, -2, -2, -2, -2, -3, -2] sadder	-2.4	0.91652	[-2, -2, -3, -4, -3, -1, -3, -1, -2, -3] saddest	-3.0	0.63246	[-4, -3, -2, -3, -3, -2, -3, -4, -3, -3] sadly	-1.8	0.6	[-2, -2, -2, -1, -2, -3, -2, -1, -1, -2] sadness	-1.9	0.3	[-2, -1, -2, -2, -2, -2, -2, -2, -2, -2] safe	1.9	0.3	[2, 1, 2, 2, 2, 2, 2, 2, 2, 2] safecracker	-0.7	1.61555	[-3, -2, 0, -3, 0, -2, 0, 1, 2, 0] safecrackers	-0.9	1.04403	[-1, 0, -2, 0, -1, 0, 0, -3, 0, -2] safecracking	-0.9	0.9434	[0, 0, 0, 0, -2, 0, -1, -2, -2, -2] safecrackings	-0.7	1.67631	[-2, -1, -2, -4, 2, -1, -1, 0, 1, 1] safeguard	1.6	0.4899	[2, 2, 1, 1, 1, 2, 2, 2, 2, 1] safeguarded	1.5	0.92195	[1, 2, 2, 0, 2, 0, 3, 1, 2, 2] safeguarding	1.1	0.7	[2, 1, 1, 0, 1, 0, 2, 1, 1, 2] safeguards	1.4	0.66332	[1, 2, 1, 1, 0, 2, 2, 2, 2, 1] safekeeping	1.4	0.66332	[3, 1, 1, 2, 1, 1, 2, 1, 1, 1] safelight	1.1	1.22066	[0, 3, 0, 2, 0, 3, 0, 2, 1, 0] safelights	0.8	1.07703	[0, 3, 1, 0, 0, 2, 0, 2, 0, 0] safely	2.2	0.74833	[2, 2, 2, 3, 4, 2, 2, 1, 2, 2] safeness	1.5	0.67082	[1, 1, 1, 1, 3, 1, 2, 2, 2, 1] safer	1.8	0.6	[2, 1, 2, 3, 2, 2, 1, 1, 2, 2] safes	0.4	0.8	[0, 0, 2, 0, 0, 0, 0, 0, 2, 0] safest	1.7	1.61555	[2, 2, 2, 2, -3, 3, 3, 2, 2, 2] safeties	1.5	1.0247	[2, 0, 1, 3, 2, 1, 3, 1, 0, 2] safety	1.8	0.6	[2, 2, 2, 2, 1, 1, 2, 3, 1, 2] safetyman	0.3	0.64031	[0, 0, 0, 0, 2, 0, 1, 0, 0, 0] salient	1.1	1.22066	[1, 3, 0, -1, 0, 1, 2, 1, 1, 3] sappy	-1.0	1.18322	[-2, -1, 2, -2, -2, 0, -1, -1, -2, -1] sarcasm	-0.9	0.7	[0, -2, -1, -1, 0, 0, -1, -1, -2, -1] sarcasms	-0.9	0.7	[0, -1, 0, -1, -1, -2, 0, -1, -1, -2] sarcastic	-1.0	0.7746	[-1, -1, -1, -1, -1, -1, -1, -2, 1, -2] sarcastically	-1.1	1.37477	[-1, -4, 1, -1, -1, -2, 1, -2, -1, -1] satisfaction	1.9	0.9434	[1, 3, 2, 4, 2, 1, 1, 1, 2, 2] satisfactions	2.1	0.7	[3, 3, 3, 1, 2, 2, 1, 2, 2, 2] satisfactorily	1.6	1.11355	[1, 2, 2, -1, 2, 1, 3, 3, 1, 2] satisfactoriness	1.5	0.5	[1, 2, 1, 2, 2, 1, 2, 1, 2, 1] satisfactory	1.5	0.67082	[2, 3, 1, 1, 1, 2, 2, 1, 1, 1] satisfiable	1.9	0.83066	[3, 1, 2, 1, 2, 3, 1, 2, 3, 1] satisfied	1.8	0.6	[2, 2, 2, 1, 1, 2, 3, 1, 2, 2] satisfies	1.8	0.6	[3, 1, 2, 1, 1, 2, 2, 2, 2, 2] satisfy	2.0	0.63246	[3, 2, 2, 2, 2, 1, 1, 2, 3, 2] satisfying	2.0	1.48324	[2, 3, 2, 1, 3, 3, 3, 2, -2, 3] satisfyingly	1.9	0.9434	[1, 2, 2, 1, 2, 1, 4, 1, 3, 2] savage	-2.0	1.73205	[-3, -4, -3, 1, -2, -1, -3, -4, -2, 1] savaged	-2.0	1.34164	[-1, 0, -4, -3, -3, -3, -2, 0, -1, -3] savagely	-2.2	0.74833	[-2, -1, -3, -2, -2, -1, -2, -3, -3, -3] savageness	-2.6	1.0198	[-3, -1, -2, -3, -2, -1, -4, -4, -3, -3] savagenesses	-0.9	1.86815	[-2, 3, -1, -3, -2, 2, -3, -1, -1, -1] savageries	-1.9	1.75784	[-3, 1, -3, -4, -3, 1, -2, -3, 0, -3] savagery	-2.5	1.62788	[-2, -3, -3, -3, 2, -3, -3, -4, -4, -2] savages	-2.4	1.0198	[-2, -2, -3, -4, -3, -3, -2, 0, -2, -3] save	2.2	1.16619	[1, 3, 3, 1, 2, 1, 2, 4, 1, 4] saved	1.8	0.6	[1, 2, 2, 2, 1, 3, 2, 2, 1, 2] scam	-2.7	0.64031	[-2, -3, -3, -3, -2, -2, -4, -3, -3, -2] scams	-2.8	0.87178	[-3, -1, -3, -4, -4, -3, -2, -2, -3, -3] scandal	-1.9	1.81384	[-3, -2, -2, -4, 3, -3, -3, -1, -2, -2] scandalous	-2.4	0.8	[-2, -1, -3, -2, -4, -2, -3, -3, -2, -2] scandals	-2.2	0.9798	[-2, -3, -3, -2, -1, 0, -3, -3, -2, -3] scapegoat	-1.7	0.64031	[-3, -2, -2, -2, -1, -1, -1, -2, -1, -2] scapegoats	-1.4	0.8	[-1, -2, -2, -1, 0, -2, -2, 0, -2, -2] scare	-2.2	0.87178	[-2, -2, -4, -2, -3, -1, -2, -1, -2, -3] scarecrow	-0.8	0.9798	[-1, 0, -1, 0, 0, 0, -2, -3, -1, 0] scarecrows	-0.7	1.1	[2, 0, -1, -1, -1, -2, -1, -2, 0, -1] scared	-1.9	0.7	[-1, -1, -2, -3, -2, -3, -1, -2, -2, -2] scaremonger	-2.1	0.53852	[-1, -2, -2, -3, -2, -2, -3, -2, -2, -2] scaremongers	-2.0	1.0	[-2, -2, 0, -4, -2, -2, -1, -2, -3, -2] scarer	-1.7	0.78102	[-2, -1, -1, -2, -3, -1, -3, -1, -2, -1] scarers	-1.3	0.9	[-1, -2, -1, 0, 0, -1, -3, -2, -1, -2] scares	-1.4	0.4899	[-1, -1, -2, -1, -1, -2, -1, -2, -2, -1] scarey	-1.7	0.64031	[-1, -1, -2, -2, -1, -2, -1, -2, -3, -2] scaring	-1.9	1.22066	[-3, -2, -1, -3, -1, -3, -2, -2, 1, -3] scary	-2.2	0.87178	[-2, -1, -4, -3, -3, -2, -2, -2, -2, -1] sceptic	-1.0	0.89443	[-3, 0, -1, -1, -1, 0, 0, -2, -1, -1] sceptical	-1.2	0.4	[-1, -1, -1, -1, -1, -1, -1, -2, -2, -1] scepticism	-0.8	0.87178	[-1, -2, -2, 0, 0, -1, 1, -1, -1, -1] sceptics	-0.7	0.78102	[0, 0, 0, -1, -2, 0, -1, -1, 0, -2] scold	-1.7	0.78102	[-2, -1, -1, -1, -3, -3, -2, -2, -1, -1] scoop	0.6	0.8	[0, 0, 1, 0, 2, 0, 2, 0, 1, 0] scorn	-1.7	0.64031	[-2, -3, -2, -1, -1, -1, -1, -2, -2, -2] scornful	-1.8	1.16619	[-3, -3, -2, -1, -4, 0, -2, -1, -1, -1] scream	-1.7	0.78102	[0, -3, -1, -1, -2, -2, -2, -2, -2, -2] screamed	-1.3	1.1	[-2, -3, -2, -1, -1, -2, -2, -1, 1, 0] screamers	-1.5	0.92195	[-2, -1, -2, -2, -2, -2, -1, -2, 1, -2] screaming	-1.6	0.8	[0, -1, -1, -2, -3, -1, -2, -2, -2, -2] screams	-1.2	0.9798	[-1, -2, -2, -1, -1, -2, 1, -2, 0, -2] screw	-0.4	0.91652	[-1, -2, -1, 0, 0, 1, 0, -1, 1, -1] screwball	-0.2	0.87178	[0, -1, 0, 0, 1, 1, -1, 0, -2, 0] screwballs	-0.3	1.00499	[-2, 0, -2, -1, 0, 1, 0, 1, 0, 0] screwbean	0.3	0.64031	[0, 0, 0, 0, 0, 1, 0, 2, 0, 0] screwdriver	0.3	0.45826	[1, 0, 0, 0, 0, 1, 0, 0, 1, 0] screwdrivers	0.1	0.53852	[-1, 0, 0, 1, 0, 0, 0, 1, 0, 0] screwed	-2.2	0.4	[-2, -2, -2, -2, -2, -3, -3, -2, -2, -2] screwed up	-1.5	0.67082	[-2, -2, -2, -1, -1, 0, -2, -1, -2, -2] screwer	-1.2	0.87178	[-1, -2, -1, -2, 0, 0, -2, 0, -2, -2] screwers	-0.5	1.5	[-2, -2, 0, -2, 0, 2, 2, -1, 0, -2] screwier	-0.6	1.2	[0, -1, 2, -2, -1, -2, -1, -1, 1, -1] screwiest	-2.0	0.89443	[-3, -2, -2, -4, -1, -2, -1, -1, -2, -2] screwiness	-0.5	1.80278	[-2, 0, -2, 3, -2, -1, -2, 1, 2, -2] screwing	-0.9	0.9434	[-1, 0, 0, 0, -1, -1, -3, -2, 0, -1] screwlike	0.1	1.04403	[2, -1, 0, 0, 0, 1, 0, 1, -2, 0] screws	-1.0	1.09545	[0, -3, 0, 0, -1, 0, -2, -2, -2, 0] screwup	-1.7	0.9	[-2, -2, -2, 1, -2, -2, -2, -2, -2, -2] screwups	-1.0	1.61245	[-2, -2, -2, -2, 0, 2, -2, -2, 2, -2] screwworm	-0.4	0.66332	[0, -1, 0, 0, 0, 0, -2, 0, -1, 0] screwworms	-0.1	1.22066	[-3, 0, -1, 0, 0, 0, 0, 2, 1, 0] screwy	-1.4	0.8	[-2, -2, -1, -1, -1, 0, -2, -1, -3, -1] scrumptious	2.1	1.22066	[3, 3, 0, 3, 2, 3, 1, 3, 0, 3] scrumptiously	1.5	1.43178	[2, 3, 3, -2, 1, 1, 2, 3, 1, 1] scumbag	-3.2	0.6	[-4, -3, -3, -2, -3, -4, -3, -3, -4, -3] secure	1.4	0.4899	[1, 2, 1, 1, 2, 1, 1, 2, 2, 1] secured	1.7	0.78102	[2, 2, 3, 1, 1, 2, 2, 0, 2, 2] securely	1.4	0.8	[2, 0, 1, 2, 1, 1, 1, 3, 2, 1] securement	1.1	0.7	[0, 2, 1, 1, 1, 0, 2, 2, 1, 1] secureness	1.4	0.66332	[2, 1, 1, 3, 1, 1, 1, 1, 2, 1] securer	1.5	0.67082	[1, 2, 2, 2, 1, 2, 1, 0, 2, 2] securers	0.6	0.91652	[1, 3, 0, 0, 1, 0, 0, 0, 0, 1] secures	1.3	0.64031	[1, 2, 2, 1, 1, 2, 1, 0, 2, 1] securest	2.6	0.8	[3, 3, 2, 3, 1, 4, 3, 2, 2, 3] securing	1.3	1.00499	[0, 3, 1, 1, 1, 3, 1, 1, 2, 0] securities	1.2	0.6	[1, 2, 2, 2, 1, 1, 1, 0, 1, 1] securitization	0.2	1.07703	[0, 0, 1, -1, 1, 0, -2, 0, 2, 1] securitizations	0.1	0.9434	[0, 0, 0, 0, 2, 0, -2, 0, 1, 0] securitize	0.3	1.34536	[2, 1, 0, 0, 2, 0, 1, 0, -3, 0] securitized	1.4	1.0198	[3, 0, 2, 2, 0, 1, 2, 2, 0, 2] securitizes	1.6	1.0198	[3, 0, 2, 2, 0, 1, 3, 2, 1, 2] securitizing	0.7	0.9	[2, 0, 0, 1, 2, 0, 2, 0, 0, 0] security	1.4	0.8	[1, 2, 3, 2, 1, 1, 2, 0, 1, 1] sedition	-1.8	1.249	[-3, -4, -2, -2, -2, -2, -1, -1, -2, 1] seditious	-1.7	0.64031	[-1, -2, -2, -1, -1, -1, -3, -2, -2, -2] seduced	-1.5	0.67082	[0, -1, -2, -2, -2, -2, -1, -1, -2, -2] self-confident	2.5	0.80623	[1, 3, 3, 3, 2, 3, 1, 3, 3, 3] selfish	-2.1	0.7	[-1, -2, -2, -3, -1, -2, -2, -2, -3, -3] selfishly	-1.4	0.91652	[-3, 0, -1, -1, -1, -2, -3, -1, -1, -1] selfishness	-1.7	0.64031	[-1, -1, -1, -2, -2, -1, -2, -2, -3, -2] selfishnesses	-2.0	1.94936	[-4, -3, -1, -3, -2, -4, 2, 1, -3, -3] sentence	0.3	0.64031	[0, 0, 0, 0, 1, 2, 0, 0, 0, 0] sentenced	-0.1	1.3	[0, -2, 2, -1, 0, -2, 2, 0, 0, 0] sentences	0.2	1.07703	[0, 0, 2, 0, 0, -2, 2, 0, 0, 0] sentencing	-0.6	1.8	[-2, 0, -3, -2, 2, 3, 0, -1, -1, -2] sentimental	1.3	0.64031	[2, 1, 1, 2, 1, 0, 1, 2, 2, 1] sentimentalise	1.2	0.87178	[2, 1, 0, 3, 2, 1, 1, 0, 1, 1] sentimentalised	0.8	1.16619	[2, 1, 1, 0, 0, 2, 3, -1, 0, 0] sentimentalising	0.4	0.91652	[0, 2, 0, 0, 0, -1, 1, 0, 2, 0] sentimentalism	1.0	0.63246	[2, 1, 0, 2, 1, 1, 1, 0, 1, 1] sentimentalisms	0.4	0.8	[0, 1, 1, 0, 0, 2, 1, 0, 0, -1] sentimentalist	0.8	0.87178	[2, 1, 0, 2, 0, 1, 2, 0, 0, 0] sentimentalists	0.7	0.78102	[0, 0, 1, 0, 0, 1, 1, 2, 0, 2] sentimentalities	0.9	0.83066	[2, 1, 1, 2, 1, 0, 0, 2, 0, 0] sentimentality	1.2	1.46969	[-2, 1, 1, 2, 2, 0, 4, 2, 1, 1] sentimentalization	1.2	0.87178	[0, 1, 2, 0, 1, 1, 3, 1, 2, 1] sentimentalizations	0.4	0.8	[0, 1, 0, 1, 0, 0, 0, 2, -1, 1] sentimentalize	0.8	1.07703	[2, 0, 0, 2, 0, 2, 1, -1, 2, 0] sentimentalized	1.1	1.22066	[3, 0, 2, 0, 1, 3, 2, 0, 0, 0] sentimentalizes	1.1	1.37477	[3, 0, 1, 0, 1, 4, 2, 0, 0, 0] sentimentalizing	0.8	0.87178	[1, 1, 1, 1, 2, 0, -1, 1, 0, 2] sentimentally	1.9	0.9434	[3, 2, 3, 1, 0, 2, 1, 2, 3, 2] serene	2.0	1.0	[1, 1, 3, 2, 2, 4, 3, 2, 1, 1] serious	-0.3	0.45826	[0, -1, 0, -1, -1, 0, 0, 0, 0, 0] seriously	-0.7	1.34536	[-3, -2, 0, 0, -1, -2, 2, -1, 0, 0] seriousness	-0.2	1.16619	[0, 2, 0, 0, 0, 0, -3, -1, 0, 0] severe	-1.6	1.8	[-3, -2, -4, 1, -2, -3, 2, -1, -1, -3] severed	-1.5	0.5	[-1, -1, -2, -1, -2, -1, -1, -2, -2, -2] severely	-2.0	0.89443	[-2, -1, -1, -2, -2, -1, -3, -2, -4, -2] severeness	-1.0	1.73205	[0, 0, -1, -4, 1, -2, 0, 1, -1, -4] severer	-1.6	1.49666	[-2, -3, -2, -1, -2, 2, -4, -1, -1, -2] severest	-1.5	1.85742	[-4, -1, 2, -2, -2, -3, -4, -1, 1, -1] sexy	2.4	0.8	[2, 3, 3, 4, 2, 2, 2, 2, 3, 1] shake	-0.7	0.9	[-2, 0, 0, -2, 1, -1, 0, -1, -1, -1] shakeable	-0.3	1.00499	[2, -1, 0, 0, -1, -2, 0, 0, -1, 0] shakedown	-1.2	0.4	[-2, -1, -1, -1, -2, -1, -1, -1, -1, -1] shakedowns	-1.4	0.8	[-2, -1, -1, -3, -1, -1, 0, -2, -2, -1] shaken	-0.3	0.9	[-1, -1, 1, -1, 1, 0, -1, 1, -1, -1] shakeout	-1.3	0.78102	[-1, -2, 0, -1, -1, -2, -2, -2, 0, -2] shakeouts	-0.8	1.16619	[-2, -1, 0, 0, -1, 2, -2, -1, -2, -1] shakers	0.3	1.00499	[2, 0, 0, -1, 2, 0, 1, -1, 0, 0] shakeup	-0.6	0.4899	[-1, 0, -1, -1, -1, 0, 0, 0, -1, -1] shakeups	-0.5	0.92195	[2, -1, 0, 0, -1, -1, -1, -1, -1, -1] shakier	-0.9	0.3	[-1, -1, 0, -1, -1, -1, -1, -1, -1, -1] shakiest	-1.2	0.74833	[-1, 0, 0, -1, -1, -1, -2, -2, -2, -2] shakily	-0.7	0.45826	[-1, -1, -1, -1, -1, 0, 0, 0, -1, -1] shakiness	-0.7	1.1	[2, -1, -1, -1, -2, -1, -1, -2, 0, 0] shaking	-0.7	0.45826	[-1, -1, -1, 0, -1, -1, 0, 0, -1, -1] shaky	-0.9	0.3	[-1, -1, -1, 0, -1, -1, -1, -1, -1, -1] shame	-2.1	0.53852	[-2, -2, -2, -3, -3, -1, -2, -2, -2, -2] shamed	-2.6	0.4899	[-2, -3, -3, -2, -3, -3, -3, -2, -2, -3] shamefaced	-2.3	0.64031	[-2, -2, -2, -3, -3, -3, -3, -1, -2, -2] shamefacedly	-1.9	0.3	[-2, -2, -2, -2, -2, -2, -2, -1, -2, -2] shamefacedness	-2.0	0.89443	[-1, -1, -2, -2, -2, -1, -2, -4, -2, -3] shamefast	-1.0	0.44721	[-1, -1, 0, -1, -1, -1, -1, -2, -1, -1] shameful	-2.2	0.6	[-3, -3, -2, -2, -2, -3, -1, -2, -2, -2] shamefully	-1.9	0.7	[-2, -3, -1, -3, -1, -2, -2, -1, -2, -2] shamefulness	-2.4	0.4899	[-2, -3, -3, -2, -3, -2, -3, -2, -2, -2] shamefulnesses	-2.3	0.78102	[-4, -2, -2, -2, -3, -1, -2, -2, -3, -2] shameless	-1.4	1.0198	[-1, -1, 1, -2, -3, -1, -2, -2, -1, -2] shamelessly	-1.4	1.0198	[-1, 0, -1, -2, 0, -1, -3, -3, -1, -2] shamelessness	-1.4	1.0198	[-1, -3, -2, 1, -2, -1, -2, -2, -1, -1] shamelessnesses	-2.0	1.0	[-2, 0, -2, -4, -2, -1, -2, -3, -2, -2] shames	-1.7	0.9	[-3, -3, -3, -1, -1, -1, -1, -1, -1, -2] share	1.2	0.74833	[0, 1, 1, 2, 2, 2, 1, 1, 0, 2] shared	1.4	0.4899	[2, 2, 2, 1, 2, 1, 1, 1, 1, 1] shares	1.2	0.87178	[0, 2, 1, 1, 0, 2, 2, 2, 2, 0] sharing	1.8	0.6	[2, 2, 1, 2, 2, 3, 1, 1, 2, 2] shattered	-2.1	0.7	[-1, -3, -3, -2, -2, -2, -3, -2, -1, -2] shit	-2.6	1.0198	[-2, -1, -4, -3, -4, -4, -2, -2, -2, -2] shitake	-0.3	1.26886	[-4, 0, 0, 0, 0, 0, 0, 0, 1, 0] shitakes	-1.1	1.7	[0, -4, 0, 0, 0, 0, -3, 0, -4, 0] shithead	-3.1	0.83066	[-3, -4, -4, -3, -4, -3, -1, -3, -3, -3] shitheads	-2.6	1.35647	[-2, -3, -4, -3, -3, -3, -2, -4, 1, -3] shits	-2.1	1.22066	[-3, 0, -3, 0, -2, -4, -2, -2, -2, -3] shittah	0.1	1.3	[-2, -2, 0, 2, 0, 0, 0, 0, 1, 2] shitted	-1.7	0.64031	[-2, -1, -2, -1, -2, -2, -3, -1, -2, -1] shittier	-2.1	0.83066	[-3, -3, -2, -1, -1, -1, -3, -2, -2, -3] shittiest	-3.4	0.66332	[-3, -4, -3, -4, -4, -4, -3, -3, -4, -2] shittim	-0.6	1.0198	[-3, 0, 0, 0, 0, -2, 0, 0, -1, 0] shittimwood	-0.3	0.9	[0, 0, -3, 0, 0, 0, 0, 0, 0, 0] shitting	-1.8	0.9798	[-1, -2, -2, -1, -3, -1, -1, -2, -4, -1] shitty	-2.6	0.8	[-3, -4, -2, -3, -3, -2, -3, -1, -2, -3] shock	-1.6	0.91652	[0, -3, -1, -2, -1, -2, -2, -1, -3, -1] shockable	-1.0	1.0	[-3, -1, -1, 0, 0, -2, -1, -2, 0, 0] shocked	-1.3	1.18743	[-2, -1, -1, 0, 0, -2, 0, -2, -1, -4] shocker	-0.6	1.49666	[-2, -1, 3, -1, 0, -3, -1, 0, -1, 0] shockers	-1.1	0.9434	[-1, -2, -2, -1, -1, 0, 0, -3, 0, -1] shocking	-1.7	1.34536	[-3, -3, 0, -1, 0, -3, 0, -1, -3, -3] shockingly	-0.7	1.48661	[-2, 0, -1, -3, -3, 0, 2, 0, 0, 0] shockproof	1.3	0.64031	[1, 0, 1, 1, 2, 2, 1, 2, 1, 2] shocks	-1.6	0.91652	[-3, -1, 0, -1, -2, -2, -1, -3, -2, -1] shook	-0.4	0.66332	[-1, -2, 0, 0, 0, 0, 0, 0, 0, -1] shoot	-1.4	1.11355	[-1, -4, -1, -1, -2, 0, -2, 0, -1, -2] short-sighted	-1.2	0.6	[0, -1, -2, -2, -1, -1, -1, -2, -1, -1] short-sightedness	-1.1	1.37477	[-1, -2, -2, -2, -3, -1, 0, 2, 0, -2] shortage	-1.0	1.09545	[-2, -2, -1, -2, -1, -1, 2, -1, -1, -1] shortages	-0.6	1.0198	[0, -2, -1, -1, 0, -2, 1, 1, -1, -1] shrew	-0.9	1.04403	[-2, -1, -2, -2, 1, 0, 0, 0, -1, -2] shy	-1.0	0.0	[-1, -1, -1, -1, -1, -1, -1, -1, -1, -1] shyer	-0.8	0.6	[-1, -1, -1, -1, 0, -1, 0, 0, -2, -1] shying	-0.9	0.83066	[-1, -2, -1, 0, -2, 0, 0, 0, -2, -1] shylock	-2.1	1.13578	[-2, -2, -2, 0, -3, -3, -3, -3, 0, -3] shylocked	-0.7	1.00499	[0, -3, -1, 0, 0, -2, 0, -1, 0, 0] shylocking	-1.5	1.11803	[0, -2, -3, 0, -1, -3, -2, 0, -2, -2] shylocks	-1.4	1.11355	[0, -2, -1, -2, -3, 0, -3, -1, -2, 0] shyly	-0.7	0.45826	[-1, -1, -1, -1, 0, 0, -1, 0, -1, -1] shyness	-1.3	1.00499	[-2, 0, -3, 0, -1, -2, -2, -1, -2, 0] shynesses	-1.2	0.6	[-2, -1, -1, -2, -1, -2, 0, -1, -1, -1] shyster	-1.6	0.66332	[-2, -1, -2, -3, -2, -1, -1, -1, -1, -2] shysters	-0.9	0.7	[0, -2, 0, 0, -2, -1, -1, -1, -1, -1] sick	-2.3	0.78102	[-1, -2, -3, -2, -2, -4, -3, -2, -2, -2] sicken	-1.9	0.7	[-2, -3, -1, -3, -1, -1, -2, -2, -2, -2] sickened	-2.5	0.92195	[-3, -2, -4, -3, -1, -1, -3, -3, -2, -3] sickener	-2.2	0.87178	[-3, -1, -2, -3, -1, -1, -3, -3, -2, -3] sickeners	-2.2	0.6	[-3, -1, -2, -3, -2, -3, -2, -2, -2, -2] sickening	-2.4	0.91652	[-3, -4, -1, -3, -2, -2, -1, -3, -2, -3] sickeningly	-2.1	0.7	[-3, -3, -1, -2, -2, -1, -3, -2, -2, -2] sickens	-2.0	0.63246	[-2, -1, -2, -2, -3, -2, -1, -2, -3, -2] sigh	0.1	1.22066	[2, -1, -1, -1, 0, 2, 1, 1, -1, -1] significance	1.1	1.22066	[0, 0, 0, 1, 3, 2, 3, 2, 0, 0] significant	0.8	0.9798	[1, 0, 1, 3, 0, 1, 0, 0, 2, 0] silencing	-0.5	0.67082	[-2, -1, 0, 0, 0, 0, 0, -1, 0, -1] sillibub	-0.1	0.3	[0, 0, 0, 0, -1, 0, 0, 0, 0, 0] sillier	1.0	0.7746	[1, 1, 0, 2, 0, 1, 1, 2, 2, 0] sillies	0.8	0.74833	[2, 1, 0, 1, 0, 1, 0, 2, 1, 0] silliest	0.8	0.9798	[0, 1, 1, 1, 1, 0, 3, 1, -1, 1] sillily	-0.1	1.04403	[1, -1, -1, -1, 2, 1, -1, 0, 0, -1] sillimanite	0.1	0.3	[1, 0, 0, 0, 0, 0, 0, 0, 0, 0] sillimanites	0.2	0.6	[0, 0, 0, 0, 2, 0, 0, 0, 0, 0] silliness	-0.9	1.22066	[1, -3, -1, 0, 1, -1, -2, -1, -2, -1] sillinesses	-1.2	1.46969	[-3, -2, -3, 0, -2, 0, 1, -2, -2, 1] silly	0.1	1.04403	[1, 1, 0, 0, 0, 2, -1, -2, 0, 0] sin	-2.6	0.8	[-2, -4, -3, -2, -2, -2, -4, -3, -2, -2] sincere	1.7	0.78102	[1, 2, 3, 0, 2, 2, 2, 2, 1, 2] sincerely	2.1	1.04403	[1, 3, 2, 4, 2, 3, 1, 1, 3, 1] sincereness	1.8	0.74833	[3, 1, 1, 2, 2, 3, 1, 2, 2, 1] sincerer	2.0	1.0	[1, 3, 3, 2, 3, 2, 1, 3, 0, 2] sincerest	2.0	1.34164	[0, 3, 1, 1, 4, 2, 1, 4, 1, 3] sincerities	1.5	0.67082	[2, 1, 1, 1, 1, 1, 3, 2, 2, 1] sinful	-2.6	0.8	[-4, -3, -3, -2, -1, -2, -3, -2, -3, -3] singleminded	1.2	0.87178	[1, 2, 0, 0, 3, 2, 1, 1, 1, 1] sinister	-2.9	1.13578	[-4, -4, -1, -3, -1, -4, -3, -3, -2, -4] sins	-2.0	1.0	[-2, -1, -2, -3, -1, -4, -3, -2, -1, -1] skeptic	-0.9	1.13578	[0, 0, -1, -1, -1, 0, -2, -2, 1, -3] skeptical	-1.3	0.9	[0, -3, -2, -2, -1, -2, 0, -1, -1, -1] skeptically	-1.2	0.4	[-1, -1, -1, -1, -1, -1, -2, -1, -1, -2] skepticism	-1.0	0.89443	[0, 0, -1, -1, -1, -1, 0, -1, -3, -2] skepticisms	-1.2	0.9798	[1, -2, 0, -1, -2, -1, -2, -2, -1, -2] skeptics	-0.4	0.91652	[-2, 0, 0, -1, -1, 1, -1, 0, 1, -1] slam	-1.6	1.11355	[-2, -1, -3, -1, -3, -2, -1, -2, 1, -2] slash	-1.1	1.22066	[-2, -3, -2, 0, -2, 0, -1, -2, 0, 1] slashed	-0.9	0.83066	[-2, -1, -2, -1, -1, 0, 1, -1, -1, -1] slashes	-0.8	0.6	[0, -1, -2, -1, 0, 0, -1, -1, -1, -1] slashing	-1.1	1.86815	[-3, -2, -3, -3, 3, 1, 0, -1, -2, -1] slavery	-3.8	0.4	[-4, -3, -4, -3, -4, -4, -4, -4, -4, -4] sleeplessness	-1.6	1.49666	[-3, -4, -2, -1, -2, -2, -2, 2, -1, -1] slicker	0.4	1.28062	[-2, 1, -1, 2, 0, 0, 2, 2, 0, 0] slickest	0.3	1.00499	[1, 0, -1, 0, -1, 0, 0, 0, 2, 2] sluggish	-1.7	0.64031	[-1, -2, -1, -3, -2, -2, -1, -2, -1, -2] slut	-2.8	0.87178	[-4, -2, -2, -1, -3, -3, -3, -3, -4, -3] sluts	-2.7	1.48661	[-3, -3, -4, -4, -3, -4, -1, -3, 1, -3] sluttier	-2.7	1.18743	[-2, -2, -4, -3, -4, -4, -1, -1, -2, -4] sluttiest	-3.1	0.83066	[-3, -4, -3, -4, -3, -4, -2, -2, -4, -2] sluttish	-2.2	0.87178	[-2, -3, -3, -2, -2, -4, -2, -1, -1, -2] sluttishly	-2.1	1.13578	[-2, 0, -2, -3, -1, -2, -3, -1, -3, -4] sluttishness	-2.5	0.92195	[-2, -1, -3, -4, -2, -1, -3, -3, -3, -3] sluttishnesses	-2.0	1.09545	[0, -2, -1, -3, -3, -1, -3, -1, -3, -3] slutty	-2.3	0.9	[-3, -1, -3, -3, -3, -2, -1, -3, -1, -3] smart	1.7	0.78102	[2, 2, 1, 2, 1, 3, 2, 0, 2, 2] smartass	-2.1	0.83066	[-1, -1, -2, -3, -2, -1, -2, -3, -3, -3] smartasses	-1.7	2.05183	[-1, -2, -3, -3, -3, -1, -2, -3, 4, -3] smarted	0.7	1.41774	[2, 1, -2, 1, 1, 2, 2, 2, -1, -1] smarten	1.9	0.7	[3, 1, 2, 1, 2, 2, 2, 3, 1, 2] smartened	1.5	0.67082	[2, 2, 1, 3, 1, 1, 1, 1, 2, 1] smartening	1.7	0.9	[1, 3, 3, 1, 1, 1, 2, 1, 1, 3] smartens	1.5	0.5	[2, 2, 1, 1, 1, 1, 2, 2, 2, 1] smarter	2.0	0.7746	[2, 2, 1, 1, 2, 2, 2, 2, 4, 2] smartest	3.0	1.0	[4, 3, 4, 3, 2, 2, 4, 3, 1, 4] smartie	1.3	0.9	[1, 4, 1, 1, 1, 1, 1, 1, 1, 1] smarties	1.7	0.9	[1, 1, 2, 4, 2, 2, 1, 2, 1, 1] smarting	-0.7	1.9	[2, 3, -1, -2, 1, -2, -1, -3, -2, -2] smartly	1.5	0.67082	[2, 1, 1, 1, 1, 2, 1, 3, 1, 2] smartness	2.0	0.89443	[1, 3, 3, 1, 2, 1, 2, 3, 1, 3] smartnesses	1.5	0.92195	[1, 0, 1, 1, 1, 2, 1, 2, 3, 3] smarts	1.6	0.66332	[2, 1, 3, 1, 2, 1, 2, 1, 2, 1] smartweed	0.2	0.6	[0, 0, 0, 0, 0, 2, 0, 0, 0, 0] smartweeds	0.1	0.53852	[0, 0, -1, 0, 0, 0, 1, 0, 0, 1] smarty	1.1	0.53852	[0, 2, 1, 2, 1, 1, 1, 1, 1, 1] smear	-1.5	1.20416	[-2, -1, -1, -2, -3, 0, 0, -4, -1, -1] smilax	0.6	0.66332	[0, 2, 1, 0, 0, 0, 1, 1, 1, 0] smilaxes	0.3	0.78102	[0, 0, 0, 0, 1, 2, 1, -1, 0, 0] smile	1.5	0.67082	[2, 1, 1, 1, 2, 2, 3, 1, 1, 1] smiled	2.5	0.80623	[3, 2, 3, 2, 1, 2, 3, 4, 3, 2] smileless	-1.4	0.4899	[-1, -1, -1, -1, -2, -1, -2, -1, -2, -2] smiler	1.7	0.78102	[1, 1, 3, 1, 3, 2, 2, 2, 1, 1] smiles	2.1	1.04403	[2, 4, 2, 1, 3, 1, 1, 3, 1, 3] smiley	1.7	0.78102	[1, 2, 1, 2, 2, 0, 2, 3, 2, 2] smileys	1.5	0.92195	[1, 2, 1, 3, 1, 0, 1, 3, 1, 2] smiling	2.0	1.18322	[2, 1, 1, 1, 2, 3, 4, 1, 4, 1] smilingly	2.3	0.64031	[3, 2, 3, 2, 3, 1, 2, 2, 2, 3] smog	-1.2	0.6	[-1, -1, -2, -1, -1, -2, -2, -1, 0, -1] smother	-1.8	0.87178	[-2, -2, -3, -1, -2, -1, -2, -2, -3, 0] smothered	-0.9	1.7	[2, -4, 0, -1, -3, -2, 0, -1, 1, -1] smothering	-1.4	1.56205	[-2, -3, -1, -4, 0, -2, -1, 2, -1, -2] smothers	-1.9	1.04403	[-1, -1, -3, -1, -2, -3, 0, -2, -3, -3] smothery	-1.1	0.7	[-2, 0, -2, -1, -2, -1, 0, -1, -1, -1] smug	0.8	1.16619	[-1, 2, 0, 2, 1, -1, 2, 1, 0, 2] smugger	-1.0	0.89443	[1, -2, -1, -2, -1, -1, -1, 0, -2, -1] smuggest	-1.5	1.28452	[-1, -1, -1, 1, -1, -3, -4, -2, -1, -2] smuggle	-1.6	1.11355	[-2, -1, -1, -1, -2, 0, -1, -1, -3, -4] smuggled	-1.5	0.92195	[-1, -1, -2, -1, -1, -1, -2, -1, -1, -4] smuggler	-2.1	1.22066	[-1, -3, -3, -1, -1, -1, -4, -1, -2, -4] smugglers	-1.4	1.56205	[-2, -3, -4, 1, -2, 0, -2, 1, -1, -2] smuggles	-1.7	1.00499	[-1, -2, -2, -1, -1, -1, -3, -1, -1, -4] smuggling	-2.1	0.83066	[-3, -2, -2, -1, -2, -2, -1, -2, -4, -2] smugly	0.2	1.249	[-1, 2, -1, -1, 1, 1, -1, 1, 2, -1] smugness	-1.4	1.11355	[-1, -1, -1, -3, -3, -2, 1, -1, -2, -1] smugnesses	-1.7	0.78102	[-1, -1, -2, -1, -3, -1, -2, -2, -3, -1] sneaky	-0.9	0.7	[-1, -1, -1, -2, -1, -1, -1, 1, -1, -1] snob	-2.0	0.63246	[-2, -2, -2, -2, -2, -1, -3, -1, -3, -2] snobbery	-2.0	0.63246	[-1, -2, -2, -2, -2, -3, -2, -1, -3, -2] snobbier	-0.7	1.00499	[-1, 2, -1, -1, -1, -1, -1, 0, -2, -1] snobbiest	-0.5	1.11803	[-2, -2, 1, -1, 1, -1, 0, -1, 1, -1] snobbily	-1.6	1.11355	[-1, -2, -2, -2, -1, -3, -3, -1, 1, -2] snobbish	-0.9	1.37477	[-2, -1, 1, -1, 1, -2, -3, -2, 1, -1] snobbishly	-1.2	1.249	[-2, 1, -2, -1, -2, -3, -1, -2, -1, 1] snobbishness	-1.1	1.22066	[-1, -2, -2, -1, -3, -1, -1, -1, 2, -1] snobbishnesses	-1.7	0.78102	[-2, -1, -3, -2, -1, -1, -2, -1, -3, -1] snobbism	-1.0	1.41421	[-2, -1, 1, -1, 1, -2, -3, -2, 1, -2] snobbisms	-0.3	1.18743	[1, -1, -1, 0, -1, -1, 1, -2, 2, -1] snobby	-1.7	1.00499	[-1, -1, -1, -3, -2, -2, 0, -3, -3, -1] snobs	-1.4	1.0198	[-2, -1, -1, -2, -2, -3, -1, -2, 1, -1] snub	-1.8	0.4	[-2, -2, -1, -2, -2, -2, -2, -2, -1, -2] snubbed	-2.0	0.7746	[-2, -2, 0, -2, -3, -2, -2, -2, -3, -2] snubbing	-0.9	1.13578	[-2, -1, -1, -1, 1, -1, -3, 1, -1, -1] snubs	-2.1	0.9434	[-2, -1, -1, -1, -3, -2, -4, -3, -2, -2] sob	-1.0	1.34164	[-1, -2, -2, -2, -1, -1, 2, 1, -2, -2] sobbed	-1.9	1.3	[-2, -4, 1, -1, -3, -1, -3, -2, -2, -2] sobbing	-1.6	1.49666	[1, -2, -3, -1, -1, -3, 1, -2, -3, -3] sobering	-0.8	1.32665	[2, -2, 0, -2, -1, -1, -2, 1, -1, -2] sobs	-2.5	0.67082	[-3, -3, -2, -2, -3, -3, -3, -1, -2, -3] sociabilities	1.2	0.9798	[1, 3, 1, 2, 0, 1, 0, 2, 2, 0] sociability	1.1	0.9434	[0, 1, 1, 1, 0, 2, 1, 0, 2, 3] sociable	1.9	0.7	[1, 1, 2, 3, 1, 2, 2, 2, 3, 2] sociableness	1.5	0.5	[1, 1, 1, 2, 2, 2, 1, 2, 1, 2] sociably	1.6	0.91652	[3, 2, 0, 1, 3, 2, 1, 1, 2, 1] sok	1.3	1.1	[0, 1, 2, 1, 1, 0, 1, 4, 2, 1] solemn	-0.3	1.1	[-1, -2, -1, 0, -1, 2, 0, -1, 1, 0] solemnified	-0.5	0.67082	[0, 0, 0, 0, -1, -1, -1, 0, -2, 0] solemnifies	-0.5	0.67082	[0, 0, 0, 0, -1, -2, -1, 0, -1, 0] solemnify	0.3	1.18743	[2, 1, 2, 1, 0, 0, -2, -1, 0, 0] solemnifying	0.1	1.3	[2, -1, 0, -3, 0, 1, 1, 1, 0, 0] solemnities	0.3	0.78102	[0, 1, -1, 0, 0, 0, 2, 1, 0, 0] solemnity	-1.1	0.9434	[0, -2, 0, -2, -2, -1, -2, 0, 0, -2] solemnization	0.7	1.34536	[-1, -1, 0, 2, 2, 0, 3, 2, 0, 0] solemnize	0.3	0.78102	[1, -1, 0, 2, 0, 0, 1, 0, 0, 0] solemnized	-0.7	0.9	[0, 0, 0, -1, -1, -1, -1, 0, 0, -3] solemnizes	0.6	0.91652	[0, 0, 0, 0, 0, 0, 2, 2, 2, 0] solemnizing	-0.6	0.8	[0, 0, -1, -1, 0, 0, -2, -2, 0, 0] solemnly	0.8	0.9798	[0, 2, 0, 1, 1, 2, -1, 2, 1, 0] solid	0.6	0.8	[0, 2, 1, 2, 0, 1, 0, 0, 0, 0] solidarity	1.2	0.6	[1, 1, 1, 1, 2, 0, 1, 2, 2, 1] solution	1.3	0.64031	[1, 2, 1, 2, 1, 1, 2, 2, 0, 1] solutions	0.7	0.78102	[1, 1, 2, 0, 1, 0, 2, 0, 0, 0] solve	0.8	0.4	[0, 1, 1, 1, 1, 0, 1, 1, 1, 1] solved	1.1	0.53852	[1, 2, 1, 0, 1, 1, 1, 2, 1, 1] solves	1.1	0.7	[2, 0, 1, 0, 1, 2, 1, 2, 1, 1] solving	1.4	0.8	[0, 3, 1, 2, 1, 1, 2, 1, 2, 1] somber	-1.8	0.6	[-1, -2, -2, -3, -2, -1, -2, -1, -2, -2] son-of-a-bitch	-2.7	0.64031	[-3, -3, -3, -1, -2, -3, -3, -3, -3, -3] soothe	1.5	0.92195	[3, 2, 2, 1, 2, 0, 2, 0, 2, 1] soothed	0.5	1.43178	[2, -3, 1, 1, 0, 1, 1, 1, 2, -1] soothing	1.3	0.64031	[2, 1, 2, 1, 1, 1, 2, 0, 2, 1] sophisticated	2.6	0.91652	[3, 4, 3, 3, 3, 1, 2, 1, 3, 3] sore	-1.5	0.5	[-2, -2, -2, -1, -1, -1, -2, -1, -1, -2] sorrow	-2.4	0.8	[-2, -2, -2, -1, -2, -3, -2, -4, -3, -3] sorrowed	-2.4	0.8	[-1, -2, -3, -3, -2, -3, -2, -4, -2, -2] sorrower	-2.3	0.78102	[-1, -2, -1, -3, -3, -2, -2, -3, -3, -3] sorrowful	-2.2	0.6	[-3, -3, -2, -2, -2, -2, -3, -1, -2, -2] sorrowfully	-2.3	0.64031	[-3, -3, -2, -1, -2, -2, -3, -2, -2, -3] sorrowfulness	-2.5	0.67082	[-4, -3, -2, -3, -2, -3, -2, -2, -2, -2] sorrowing	-1.7	1.26886	[-2, -2, 1, -1, -1, -2, -4, -3, -2, -1] sorrows	-1.6	0.66332	[-1, -1, -2, -1, -2, -2, -1, -2, -1, -3] sorry	-0.3	1.61555	[-1, 0, -1, -2, -1, -1, 4, 1, -1, -1] soulmate	2.9	0.83066	[4, 2, 2, 2, 3, 4, 3, 3, 2, 4] spam	-1.5	1.0247	[-1, -1, -1, -2, 1, -2, -3, -2, -2, -2] spammer	-2.2	0.6	[-3, -2, -2, -1, -2, -3, -2, -2, -3, -2] spammers	-1.6	1.11355	[-2, -1, -2, -3, -2, -1, -2, -1, 1, -3] spamming	-2.1	0.83066	[-3, -3, -1, -3, -2, -1, -2, -2, -1, -3] spark	0.9	1.04403	[0, 2, 1, 1, 0, 1, 3, -1, 1, 1] sparkle	1.8	0.74833	[0, 2, 2, 2, 1, 2, 3, 2, 2, 2] sparkles	1.3	1.18743	[3, 2, 0, 0, 3, 0, 2, 0, 1, 2] sparkling	1.2	0.4	[1, 1, 1, 2, 1, 1, 1, 2, 1, 1] special	1.7	0.78102	[3, 1, 3, 2, 2, 1, 1, 2, 1, 1] speculative	0.4	1.11355	[1, -1, 1, 0, -1, -1, 1, 2, 2, 0] spirit	0.7	1.00499	[0, 0, 1, 2, 3, 1, 0, 0, 0, 0] spirited	1.3	1.00499	[1, 1, 0, 1, 1, 3, 2, 3, 0, 1] spiritless	-1.3	0.64031	[-2, -1, -1, -2, -2, -1, 0, -1, -2, -1] spite	-2.4	0.8	[-2, -2, -3, -2, -3, -2, -4, -1, -3, -2] spited	-2.4	0.91652	[-2, -3, -3, -4, -2, -1, -2, -1, -3, -3] spiteful	-1.9	1.75784	[-2, 3, -2, -3, -2, -3, -2, -2, -4, -2] spitefully	-2.3	0.78102	[-2, -2, -1, -3, -3, -2, -2, -2, -4, -2] spitefulness	-1.5	1.74642	[-3, -2, 1, -3, -3, -3, -2, 2, 0, -2] spitefulnesses	-2.3	0.9	[-1, -4, -2, -3, -3, -2, -2, -3, -1, -2] spites	-1.4	1.28062	[0, -2, -2, -3, -2, -1, 1, 0, -3, -2] splendent	2.7	0.78102	[3, 2, 1, 3, 2, 3, 4, 3, 3, 3] splendid	2.8	0.9798	[4, 2, 3, 4, 2, 2, 3, 1, 3, 4] splendidly	2.1	1.22066	[1, 4, 1, 3, 3, 4, 1, 2, 1, 1] splendidness	2.3	0.9	[2, 1, 3, 3, 4, 2, 1, 3, 2, 2] splendiferous	2.6	1.95959	[4, 4, 3, -3, 3, 3, 4, 2, 3, 3] splendiferously	1.9	1.3	[2, 4, 4, 3, 0, 1, 1, 1, 2, 1] splendiferousness	1.7	1.18743	[1, 2, 3, 1, 2, 3, 3, 2, -1, 1] splendor	3.0	0.63246	[3, 3, 3, 3, 3, 2, 4, 4, 3, 2] splendorous	2.2	0.87178	[4, 2, 1, 2, 2, 3, 3, 1, 2, 2] splendors	2.0	0.44721	[2, 2, 2, 2, 3, 2, 2, 2, 1, 2] splendour	2.2	0.6	[2, 2, 2, 3, 3, 1, 2, 3, 2, 2] splendours	2.2	1.249	[3, 0, 2, 1, 4, 3, 2, 4, 1, 2] splendrous	2.2	1.16619	[4, 4, 3, 2, 1, 1, 3, 1, 2, 1] sprightly	2.0	0.89443	[0, 2, 3, 2, 2, 1, 2, 3, 3, 2] squelched	-1.0	0.63246	[-1, -1, -1, -1, 0, -2, -1, 0, -1, -2] stab	-2.8	0.6	[-3, -2, -2, -3, -3, -3, -3, -2, -4, -3] stabbed	-1.9	1.22066	[-2, -1, -3, -2, -2, 1, -3, -3, -1, -3] stable	1.2	0.74833	[1, 2, 2, 0, 1, 2, 1, 1, 2, 0] stabs	-1.9	1.13578	[-3, -3, -4, 0, -1, -2, -2, -2, -1, -1] stall	-0.8	0.74833	[-1, 0, -1, 0, -1, 0, -2, 0, -2, -1] stalled	-0.8	0.87178	[-2, -1, 0, -1, -1, 0, 1, -2, -1, -1] stalling	-0.8	1.4	[-3, -2, -1, -1, 0, 2, 1, -2, -1, -1] stamina	1.2	0.9798	[1, 0, 3, 0, 1, 2, 2, 1, 2, 0] stammer	-0.9	0.3	[-1, 0, -1, -1, -1, -1, -1, -1, -1, -1] stammered	-0.9	0.7	[-2, -1, -1, -1, 1, -1, -1, -1, -1, -1] stammerer	-1.1	0.3	[-1, -2, -1, -1, -1, -1, -1, -1, -1, -1] stammerers	-0.8	0.4	[-1, -1, -1, -1, -1, 0, 0, -1, -1, -1] stammering	-1.0	0.63246	[-2, -1, 0, -1, -1, -2, 0, -1, -1, -1] stammers	-0.8	0.4	[-1, -1, -1, 0, -1, -1, -1, 0, -1, -1] stampede	-1.8	1.07703	[-2, -3, -2, -3, 0, 0, -2, -1, -2, -3] stank	-1.9	1.04403	[-2, -2, -2, -1, -2, -4, -3, 0, -1, -2] startle	-1.3	0.64031	[-1, -1, -1, -1, -1, -2, -1, -1, -3, -1] startled	-0.7	0.78102	[-2, -1, -1, 0, 1, -1, -1, 0, -1, -1] startlement	-0.5	1.20416	[-1, 0, 0, 1, -1, -1, 2, -2, -1, -2] startlements	0.2	1.32665	[2, 2, 0, 0, -1, 2, 0, -2, -1, 0] startler	-0.8	0.74833	[-2, -1, -1, 0, 1, -1, -1, -1, -1, -1] startlers	-0.5	0.80623	[0, 0, 0, 0, -1, -1, -1, 1, -1, -2] startles	-0.5	1.36015	[-2, 2, -1, 0, 2, -1, -1, -2, -1, -1] startling	0.3	1.41774	[-2, 2, -1, 0, -1, 2, -1, 1, 1, 2] startlingly	-0.3	0.9	[-1, -1, 0, -2, 1, 0, 1, 0, -1, 0] starve	-1.9	2.02237	[2, -3, -4, -1, -3, -4, -1, -2, 1, -4] starved	-2.6	1.11355	[-3, -4, -1, -3, -3, -4, -1, -1, -3, -3] starves	-2.3	0.78102	[-3, -2, -2, -3, -2, -3, -1, -1, -3, -3] starving	-1.8	2.03961	[-2, -2, -4, -4, -3, -3, 2, 2, -2, -2] steadfast	1.0	1.0	[0, 0, 2, 1, 1, 2, 3, 0, 1, 0] steal	-2.2	0.6	[-2, -2, -2, -3, -3, -3, -1, -2, -2, -2] stealable	-1.7	1.00499	[-3, -1, -2, -1, -2, -1, -1, -1, -4, -1] stealer	-1.7	0.78102	[-2, -2, -1, -2, -3, -1, -2, -2, -2, 0] stealers	-2.2	0.74833	[-2, -2, -2, -4, -2, -2, -3, -1, -2, -2] stealing	-2.7	0.9	[-3, -2, -2, -4, -4, -3, -1, -3, -2, -3] stealings	-1.9	0.9434	[-2, -2, -1, -1, -1, -3, -4, -2, -1, -2] steals	-2.3	0.64031	[-4, -2, -2, -3, -2, -2, -2, -2, -2, -2] stealth	-0.3	1.34536	[-2, 1, 1, -1, 0, -3, 0, 1, -1, 1] stealthier	-0.3	1.00499	[0, 0, -3, 0, 0, 1, 0, -1, 0, 0] stealthiest	0.4	2.10713	[-1, 2, 1, 1, 3, 4, -1, 0, -2, -3] stealthily	0.1	1.37477	[2, 0, 0, -1, 1, 0, -3, 2, 0, 0] stealthiness	0.2	0.74833	[1, 0, 0, -1, 1, 0, -1, 0, 1, 1] stealths	-0.3	0.78102	[-2, 0, 0, -1, 0, 1, -1, 0, 0, 0] stealthy	-0.1	0.7	[0, 0, 0, -1, 1, -1, -1, 0, 1, 0] stench	-2.3	0.64031	[-3, -2, -2, -3, -3, -1, -3, -2, -2, -2] stenches	-1.5	1.11803	[-2, -2, -1, -3, 0, 0, -3, -2, 0, -2] stenchful	-2.4	0.91652	[-3, -1, -3, -1, -2, -2, -3, -4, -2, -3] stenchy	-2.3	1.00499	[-4, -1, -2, -3, -1, -1, -2, -3, -3, -3] stereotype	-1.3	0.78102	[-1, -1, -2, 0, -2, 0, -2, -1, -2, -2] stereotyped	-1.2	0.4	[-1, -1, -2, -1, -2, -1, -1, -1, -1, -1] stifled	-1.4	0.66332	[-1, -1, -1, -1, -3, -1, -2, -2, -1, -1] stimulate	0.9	0.83066	[1, 0, 1, 1, 1, 2, -1, 2, 1, 1] stimulated	0.9	0.7	[1, 0, 0, 0, 1, 1, 2, 1, 2, 1] stimulates	1.0	0.89443	[1, 0, 0, 0, 1, 1, 2, 1, 3, 1] stimulating	1.9	0.7	[2, 3, 2, 1, 3, 2, 1, 2, 1, 2] stingy	-1.6	0.8	[-1, 0, -2, -2, -1, -1, -2, -2, -3, -2] stink	-1.7	0.64031	[-2, -2, -1, -3, -2, -1, -1, -2, -1, -2] stinkard	-2.3	0.9	[-2, -3, -3, -2, -3, -2, -3, -3, 0, -2] stinkards	-1.0	1.26491	[-2, -1, 2, -2, -1, -1, 0, -3, -1, -1] stinkbug	-0.2	0.4	[-1, 0, 0, 0, 0, 0, 0, 0, -1, 0] stinkbugs	-1.0	1.26491	[0, 0, 0, -4, -1, -2, -1, 0, -2, 0] stinker	-1.5	0.80623	[-3, -1, -3, -1, -1, -2, -1, -1, -1, -1] stinkers	-1.2	1.07703	[-3, 1, -1, -2, -2, -1, -1, -2, 0, -1] stinkhorn	-0.2	1.16619	[-2, -2, 0, 0, -1, 0, 1, 2, 0, 0] stinkhorns	-0.8	0.9798	[0, -3, 0, -2, 0, 0, -1, -1, -1, 0] stinkier	-1.5	1.0247	[-2, -1, -2, -2, -1, 1, -2, -1, -3, -2] stinkiest	-2.1	1.57797	[-1, -2, -3, -4, -2, -1, 1, -4, -1, -4] stinking	-2.4	0.91652	[-2, -4, -2, -3, -3, -1, -2, -1, -3, -3] stinkingly	-1.3	1.55242	[-2, -3, -3, -2, -2, 1, -2, 2, -1, -1] stinko	-1.5	0.80623	[-1, -2, -2, -2, 0, -1, -2, -1, -1, -3] stinkpot	-2.5	0.92195	[-4, -1, -3, -4, -2, -2, -3, -2, -2, -2] stinkpots	-0.7	1.26886	[-1, -3, -2, -1, 0, 2, 0, -1, 0, -1] stinks	-1.0	1.34164	[-2, -2, -1, -2, 2, -1, -2, 1, -1, -2] stinkweed	-0.4	1.0198	[-2, 0, -1, 0, 2, 0, -1, -1, 0, -1] stinkwood	-0.1	1.13578	[0, -2, 0, 0, 0, -2, 1, 0, 2, 0] stinky	-1.5	0.5	[-2, -1, -1, -2, -1, -1, -2, -2, -1, -2] stolen	-2.2	0.9798	[-3, -2, -2, -1, -3, -2, -3, 0, -3, -3] stop	-1.2	0.87178	[-1, 0, -2, -2, 0, -1, -2, -2, 0, -2] stopped	-0.9	0.53852	[-1, -1, -1, -1, -2, -1, -1, -1, 0, 0] stopping	-0.6	0.66332	[-1, 0, 0, -1, 0, 0, 0, -1, -2, -1] stops	-0.6	0.8	[-1, -1, 0, 0, -2, 0, -2, 0, 0, 0] stout	0.7	1.34536	[2, 0, 3, 1, 2, 1, 0, 0, -2, 0] straight	0.9	1.04403	[2, 0, 1, 0, 0, 0, 1, 2, 3, 0] strain	-0.2	0.9798	[0, 0, -2, 0, -1, 2, 0, -1, 0, 0] strained	-1.7	0.78102	[0, -2, -1, -1, -2, -2, -2, -3, -2, -2] strainer	-0.8	1.249	[2, -2, -1, 0, -1, 0, -2, 0, -2, -2] strainers	-0.3	0.45826	[0, 0, 0, 0, -1, -1, 0, -1, 0, 0] straining	-1.3	0.78102	[0, -3, -2, -1, -1, -1, -1, -1, -2, -1] strains	-1.2	0.4	[-1, -1, -1, -2, -1, -2, -1, -1, -1, -1] strange	-0.8	0.74833	[0, -1, -1, 0, -2, 0, -1, -2, 0, -1] strangely	-1.2	0.87178	[0, -1, -2, -2, 0, -3, -1, -1, -1, -1] strangled	-2.5	1.0247	[-1, -1, -3, -3, -3, -3, -1, -4, -3, -3] strength	2.2	0.6	[1, 2, 2, 3, 2, 3, 3, 2, 2, 2] strengthen	1.3	0.64031	[1, 1, 2, 1, 2, 1, 2, 0, 2, 1] strengthened	1.8	0.4	[2, 2, 2, 2, 1, 2, 2, 1, 2, 2] strengthener	1.8	0.6	[2, 0, 2, 2, 2, 2, 2, 2, 2, 2] strengtheners	1.4	0.91652	[1, 2, 1, 2, 3, 0, 2, 0, 2, 1] strengthening	2.2	0.74833	[3, 3, 1, 1, 2, 2, 2, 2, 3, 3] strengthens	2.0	0.63246	[3, 2, 1, 2, 2, 3, 2, 1, 2, 2] strengths	1.7	0.64031	[2, 1, 3, 1, 2, 1, 2, 1, 2, 2] stress	-1.8	0.6	[-1, -2, -2, -1, -2, -1, -2, -3, -2, -2] stressed	-1.4	0.4899	[-1, -1, -1, -2, -2, -1, -2, -2, -1, -1] stresses	-2.0	1.0	[-3, -3, -2, -1, -2, 0, -2, -1, -3, -3] stressful	-2.3	0.45826	[-2, -2, -2, -2, -3, -3, -2, -3, -2, -2] stressfully	-2.6	0.66332	[-2, -3, -1, -3, -3, -3, -3, -2, -3, -3] stressing	-1.5	0.67082	[-1, -2, -1, -1, -3, -1, -2, -2, -1, -1] stressless	1.6	0.4899	[1, 2, 1, 2, 1, 2, 1, 2, 2, 2] stresslessness	1.6	0.8	[1, 3, 1, 3, 2, 1, 2, 1, 1, 1] stressor	-1.8	0.74833	[-2, -1, -1, -2, -3, -2, -1, -2, -3, -1] stressors	-2.1	0.83066	[-3, -2, -2, -2, -3, -1, -3, -1, -1, -3] stricken	-2.3	0.9	[0, -2, -2, -2, -2, -3, -3, -3, -3, -3] strike	-0.5	1.11803	[0, 0, 0, -2, -2, 1, 1, -2, -1, 0] strikers	-0.6	1.0198	[0, 0, -2, -3, 0, 0, -1, 0, 0, 0] strikes	-1.5	0.92195	[0, -2, -2, -2, -3, -1, -2, -1, 0, -2] strong	2.3	0.78102	[3, 2, 3, 3, 1, 1, 3, 2, 2, 3] strongbox	0.7	0.78102	[2, 1, 0, 0, 0, 1, 2, 1, 0, 0] strongboxes	0.3	0.64031	[0, 0, 0, 0, 0, 1, 0, 2, 0, 0] stronger	1.6	0.66332	[2, 1, 1, 1, 2, 3, 2, 1, 2, 1] strongest	1.9	0.9434	[2, 3, 2, 1, 2, 2, 0, 3, 1, 3] stronghold	0.5	0.80623	[0, 2, 0, 0, 2, 0, 0, 0, 0, 1] strongholds	1.0	0.89443	[2, 2, 0, 1, 2, 2, 1, 0, 0, 0] strongish	1.7	0.78102	[1, 1, 2, 3, 1, 2, 1, 3, 2, 1] strongly	1.1	0.83066	[0, 0, 2, 2, 0, 1, 2, 2, 1, 1] strongman	0.7	1.00499	[0, 1, 3, 0, 1, -1, 1, 1, 0, 1] strongmen	0.5	1.11803	[-1, 0, 0, 3, 0, 1, 0, 2, 0, 0] strongyl	0.6	1.0198	[0, 1, 0, 0, 0, 0, 0, 2, 3, 0] strongyles	0.2	1.07703	[0, -2, 1, 1, -1, 1, 0, 0, 2, 0] strongyloidosis	-0.8	1.66132	[-2, -3, 0, 0, -2, -2, 2, -2, 2, -1] strongyls	0.1	0.3	[0, 0, 1, 0, 0, 0, 0, 0, 0, 0] struck	-1.0	0.89443	[-1, -2, -1, 0, -2, -2, -1, -1, 1, -1] struggle	-1.3	0.45826	[-2, -1, -2, -1, -2, -1, -1, -1, -1, -1] struggled	-1.4	0.66332	[-2, -2, -1, -1, -1, -1, -2, -2, 0, -2] struggler	-1.1	0.7	[-1, -1, -1, -1, 0, -1, -2, -2, 0, -2] strugglers	-1.4	0.4899	[-1, -2, -1, -1, -2, -1, -2, -2, -1, -1] struggles	-1.5	0.5	[-2, -2, -1, -1, -1, -1, -2, -2, -1, -2] struggling	-1.8	0.6	[-2, -2, -2, -2, -1, -1, -2, -2, -3, -1] stubborn	-1.7	1.00499	[0, -1, -2, -2, -2, -4, -1, -2, -1, -2] stubborner	-1.5	1.20416	[-2, -3, -1, -1, -2, 1, -3, -2, 0, -2] stubbornest	-0.6	1.62481	[-2, 4, -2, -1, -1, 0, -1, -1, -1, -1] stubbornly	-1.4	0.4899	[-2, -2, -1, -2, -1, -1, -2, -1, -1, -1] stubbornness	-1.1	0.53852	[-1, -1, 0, -2, -1, -1, -1, -2, -1, -1] stubbornnesses	-1.5	0.80623	[-1, -2, -3, -1, -1, -3, -1, -1, -1, -1] stuck	-1.0	0.44721	[-1, -1, -1, -1, 0, -1, -1, -1, -1, -2] stunk	-1.6	1.68523	[-2, -2, -3, 2, -2, -3, -3, 1, -1, -3] stunned	-0.4	1.28062	[-1, -3, -1, 0, -1, -1, 0, 2, 1, 0] stunning	1.6	1.42829	[0, 0, 3, 2, 2, 4, 3, 0, 2, 0] stuns	0.1	1.04403	[1, 0, -1, -2, 0, 1, 1, -1, 1, 1] stupid	-2.4	0.66332	[-2, -3, -3, -2, -3, -3, -2, -1, -2, -3] stupider	-2.5	0.5	[-3, -2, -3, -3, -2, -2, -3, -2, -3, -2] stupidest	-2.4	0.66332	[-2, -3, -2, -3, -1, -3, -3, -2, -2, -3] stupidities	-2.0	0.7746	[-2, -3, -2, -1, -3, -1, -3, -1, -2, -2] stupidity	-1.9	0.3	[-2, -2, -2, -2, -2, -2, -1, -2, -2, -2] stupidly	-2.0	0.7746	[-1, -2, -3, -3, -1, -3, -2, -1, -2, -2] stupidness	-1.7	0.64031	[-3, -1, -2, -1, -2, -1, -2, -2, -1, -2] stupidnesses	-2.6	0.8	[-2, -2, -2, -4, -4, -3, -3, -2, -2, -2] stupids	-2.3	0.64031	[-2, -3, -1, -3, -2, -3, -3, -2, -2, -2] stutter	-1.0	0.0	[-1, -1, -1, -1, -1, -1, -1, -1, -1, -1] stuttered	-0.9	1.04403	[-1, -1, 2, -1, -1, -1, -2, -2, -1, -1] stutterer	-1.0	1.18322	[-1, -1, 2, -1, -1, -1, -3, -2, -1, -1] stutterers	-1.1	0.53852	[-1, -1, -1, 0, -1, -1, -2, -2, -1, -1] stuttering	-1.3	0.9	[-1, -1, -1, 0, -3, -1, -1, -1, -3, -1] stutters	-1.0	0.63246	[-1, -1, -1, -2, 0, -2, 0, -1, -1, -1] suave	2.0	0.44721	[2, 3, 2, 2, 2, 1, 2, 2, 2, 2] submissive	-1.3	0.9	[-1, 0, -1, -3, -1, 0, -1, -2, -2, -2] submissively	-1.0	1.18322	[-1, -1, -1, -1, 2, -1, -1, -2, -3, -1] submissiveness	-0.7	0.78102	[-2, 0, -1, 0, -1, 0, -2, 0, -1, 0] substantial	0.8	0.6	[2, 0, 1, 1, 0, 0, 1, 1, 1, 1] subversive	-0.9	1.81384	[-3, 0, -4, -1, -2, -1, 2, -1, 2, -1] succeed	2.2	0.74833	[2, 3, 2, 2, 2, 1, 2, 4, 2, 2] succeeded	1.8	0.87178	[2, 2, 1, 2, 2, 0, 2, 3, 3, 1] succeeder	1.2	1.07703	[1, 0, 0, 2, 2, 0, 0, 3, 2, 2] succeeders	1.3	0.64031	[2, 0, 2, 1, 2, 1, 1, 1, 1, 2] succeeding	2.2	1.16619	[2, 3, 0, 3, 4, 3, 1, 1, 2, 3] succeeds	2.2	0.9798	[4, 1, 4, 1, 2, 2, 2, 2, 2, 2] success	2.7	0.64031	[4, 3, 2, 2, 3, 2, 3, 3, 2, 3] successes	2.6	0.66332	[2, 4, 3, 3, 2, 3, 2, 2, 3, 2] successful	2.8	0.6	[3, 3, 2, 3, 4, 3, 3, 3, 2, 2] successfully	2.2	0.6	[2, 2, 1, 2, 2, 2, 3, 3, 2, 3] successfulness	2.7	0.78102	[3, 3, 4, 3, 3, 2, 3, 2, 1, 3] succession	0.8	0.87178	[2, 0, 1, 2, 0, 2, 1, 0, 0, 0] successional	0.9	1.04403	[0, 1, 0, 2, 3, 0, 0, 1, 2, 0] successionally	1.1	1.13578	[2, 2, 0, 0, 0, 0, 2, 3, 0, 2] successions	0.1	0.3	[0, 0, 0, 0, 0, 0, 0, 1, 0, 0] successive	1.1	1.13578	[3, 0, 0, 1, 3, 2, 1, 0, 1, 0] successively	0.9	1.04403	[1, 0, 0, 1, 3, 0, 2, 0, 2, 0] successiveness	1.0	1.0	[0, 1, 2, 0, 3, 1, 1, 2, 0, 0] successor	0.9	0.83066	[0, 2, 0, 0, 1, 2, 2, 1, 1, 0] successors	1.1	1.04403	[2, 0, 1, 2, 0, 1, 3, 0, 2, 0] suck	-1.9	1.04403	[-1, -1, -1, -2, -1, -1, -3, -4, -3, -2] sucked	-2.0	0.89443	[-2, -2, -1, -1, -1, -3, -4, -2, -2, -2] sucker	-2.4	1.2	[-3, -1, -1, -2, -1, -4, -4, -2, -4, -2] suckered	-2.0	1.0	[-2, -1, -1, -3, -3, -1, -1, -2, -2, -4] suckering	-2.1	0.7	[-2, -3, -2, -1, -2, -3, -3, -2, -1, -2] suckers	-2.3	1.00499	[-2, -1, -2, -4, -1, -2, -3, -2, -4, -2] sucks	-1.5	1.28452	[-1, -2, -2, -1, -3, -4, -1, 1, -1, -1] sucky	-1.9	0.9434	[-1, -2, -2, -1, -2, -4, -1, -1, -3, -2] suffer	-2.5	0.67082	[-3, -3, -2, -2, -3, -3, -3, -2, -1, -3] suffered	-2.2	0.74833	[-3, -2, -1, -3, -2, -3, -1, -3, -2, -2] sufferer	-2.0	0.63246	[-3, -2, -2, -2, -2, -3, -1, -2, -2, -1] sufferers	-2.4	0.8	[-1, -3, -3, -2, -1, -2, -3, -3, -3, -3] suffering	-2.1	0.83066	[-2, -1, -3, -2, -1, -2, -3, -3, -1, -3] suffers	-2.1	0.7	[-3, -2, -1, -2, -2, -2, -3, -1, -3, -2] suicidal	-3.5	0.67082	[-4, -4, -4, -4, -3, -4, -3, -3, -2, -4] suicide	-3.5	0.67082	[-4, -3, -4, -4, -4, -2, -3, -4, -4, -3] suing	-1.1	1.13578	[1, -1, -1, 0, -1, -3, -1, -1, -3, -1] sulking	-1.5	0.67082	[-2, -1, -3, -1, -1, -2, -1, -2, -1, -1] sulky	-0.8	1.77764	[-3, 3, -2, -3, 0, -2, 0, -1, 1, -1] sullen	-1.7	1.00499	[0, -2, -2, -1, -1, -4, -2, -1, -2, -2] sunnier	2.3	0.64031	[3, 2, 3, 2, 3, 2, 2, 1, 3, 2] sunniest	2.4	1.28062	[2, 0, 4, 2, 1, 3, 2, 4, 4, 2] sunny	1.8	0.87178	[2, 2, 1, 2, 0, 2, 3, 3, 2, 1] sunshine	2.2	0.6	[3, 1, 2, 2, 2, 2, 2, 3, 3, 2] sunshiny	1.9	0.7	[2, 2, 3, 1, 2, 2, 1, 3, 1, 2] super	2.9	0.7	[4, 2, 4, 3, 3, 3, 2, 3, 2, 3] superb	3.1	0.9434	[3, 4, 2, 4, 3, 1, 3, 3, 4, 4] superior	2.5	1.11803	[2, 3, 1, 3, 3, 0, 3, 3, 4, 3] superiorities	0.8	1.6	[-1, 1, 3, -1, -1, 2, 2, 1, 3, -1] superiority	1.4	1.2	[0, 1, -1, 3, 1, 2, 2, 2, 3, 1] superiorly	2.2	1.4	[4, 3, 1, 2, 3, -1, 2, 4, 2, 2] superiors	1.0	1.0	[3, 0, 0, 1, 2, 1, 1, 2, 0, 0] support	1.7	0.9	[1, 1, 1, 2, 1, 3, 3, 3, 1, 1] supported	1.3	0.45826	[2, 1, 2, 1, 1, 2, 1, 1, 1, 1] supporter	1.1	0.3	[1, 1, 1, 1, 1, 2, 1, 1, 1, 1] supporters	1.9	0.7	[1, 1, 1, 2, 2, 3, 2, 2, 3, 2] supporting	1.9	0.9434	[3, 2, 1, 1, 3, 3, 1, 1, 3, 1] supportive	1.2	0.4	[1, 1, 1, 1, 1, 2, 2, 1, 1, 1] supportiveness	1.5	1.11803	[3, 1, 2, 1, 3, 2, 2, 1, -1, 1] supports	1.5	0.67082	[2, 1, 2, 0, 2, 2, 2, 1, 1, 2] supremacies	0.8	1.72047	[3, -2, 3, 0, 0, 2, -1, 3, 0, 0] supremacist	0.5	2.15639	[3, 2, -3, 1, 2, 2, 2, -2, 1, -3] supremacists	-1.0	1.89737	[-4, -2, -1, -3, -2, 2, 2, 0, 0, -2] supremacy	0.2	1.77764	[-1, -2, 0, 3, 2, 0, -3, 0, 1, 2] suprematists	0.4	1.56205	[2, 1, 0, 0, 2, 2, 2, -2, -1, -2] supreme	2.6	1.11355	[2, 3, 2, 1, 4, 2, 1, 3, 4, 4] supremely	2.7	1.00499	[2, 4, 1, 4, 2, 4, 2, 3, 2, 3] supremeness	2.3	0.64031	[1, 2, 2, 3, 3, 2, 2, 3, 3, 2] supremer	2.3	1.1	[4, 3, 3, 0, 1, 2, 3, 2, 3, 2] supremest	2.2	1.98997	[4, 3, 1, 0, 4, 4, -2, 3, 1, 4] supremo	1.9	1.3	[1, 0, 3, 0, 4, 3, 1, 3, 2, 2] supremos	1.3	0.78102	[0, 2, 2, 1, 0, 2, 2, 1, 2, 1] sure	1.3	0.64031	[1, 1, 3, 1, 1, 2, 1, 1, 1, 1] surefire	1.0	0.7746	[1, 1, 0, 2, 2, 1, 0, 1, 2, 0] surefooted	1.9	0.83066	[0, 3, 2, 2, 2, 2, 1, 2, 3, 2] surefootedly	1.6	0.91652	[1, 1, 2, 0, 2, 1, 3, 3, 1, 2] surefootedness	1.5	1.20416	[2, 1, 4, 1, 0, 3, 2, 1, 1, 0] surely	1.9	0.7	[2, 2, 2, 1, 1, 1, 3, 2, 3, 2] sureness	2.0	0.7746	[2, 3, 2, 1, 2, 1, 3, 3, 2, 1] surer	1.2	1.32665	[1, 1, 3, 1, 3, 2, 1, -2, 1, 1] surest	1.3	0.78102	[2, 0, 2, 2, 2, 1, 0, 1, 1, 2] sureties	1.3	0.9	[2, 0, 2, 0, 2, 2, 1, 2, 0, 2] surety	1.0	0.44721	[1, 1, 1, 1, 1, 0, 1, 1, 2, 1] suretyship	-0.1	1.51327	[-1, 0, 0, -2, -1, 2, -2, 3, 0, 0] suretyships	0.4	0.66332	[0, 0, 0, 1, 0, 0, 1, 0, 0, 2] surprisal	1.5	0.80623	[3, 1, 1, 2, 1, 2, 2, 1, 2, 0] surprisals	0.7	1.1	[0, 0, 0, 0, 0, 0, 0, 2, 2, 3] surprise	1.1	1.04403	[0, 2, 0, 2, 3, 0, 1, 1, 2, 0] surprised	0.9	0.9434	[2, 0, 0, 0, 0, 2, 2, 1, 2, 0] surpriser	0.6	0.66332	[2, 0, 0, 0, 0, 1, 1, 1, 1, 0] surprisers	0.3	1.00499	[2, 0, 1, 1, 0, 0, -2, 1, 0, 0] surprises	0.9	0.7	[2, 0, 0, 0, 1, 1, 2, 1, 1, 1] surprising	1.1	0.9434	[1, 1, 1, 0, 0, 2, 0, 1, 3, 2] surprisingly	1.2	0.87178	[1, 0, 2, 0, 0, 2, 2, 1, 2, 2] survived	2.3	0.78102	[3, 4, 2, 2, 2, 1, 2, 3, 2, 2] surviving	1.2	0.87178	[1, 3, 1, 0, 2, 0, 1, 1, 1, 2] survivor	1.5	1.0247	[1, 3, 2, 3, 1, 0, 0, 1, 2, 2] suspect	-1.2	0.9798	[0, -1, -1, -2, -2, -2, 1, -1, -2, -2] suspected	-0.9	1.13578	[-1, 0, -1, -2, -1, -1, -2, 2, -2, -1] suspecting	-0.7	1.34536	[-1, 2, -1, -1, -1, 1, -2, -1, -3, 0] suspects	-1.4	0.91652	[-2, -2, -2, -1, -2, -1, -2, -2, 1, -1] suspend	-1.3	0.64031	[0, -2, -1, -2, -1, -1, -2, -1, -2, -1] suspended	-2.1	0.83066	[-2, -1, -2, -3, -3, -1, -3, -1, -2, -3] suspicion	-1.6	0.91652	[-2, -2, -1, -2, 1, -2, -2, -2, -2, -2] suspicions	-1.5	0.67082	[-1, -2, -1, -2, -1, -1, -3, -1, -2, -1] suspicious	-1.5	0.67082	[-1, -2, -1, -1, -2, -1, -2, -1, -3, -1] suspiciously	-1.7	0.45826	[-2, -2, -1, -2, -1, -2, -2, -1, -2, -2] suspiciousness	-1.2	1.46969	[-2, -3, -2, -1, -1, 1, 2, -2, -2, -2] sux	-1.5	0.92195	[-1, -1, -2, -1, -2, -1, -3, 0, -3, -1] swear	-0.2	1.53623	[-2, 2, -1, 1, 1, 0, -1, -2, 2, -2] swearing	-1.0	1.09545	[0, -2, -1, -1, -2, 0, 1, -3, -1, -1] swears	0.2	1.4	[1, -2, 2, 0, 1, -2, -1, 2, 1, 0] sweet	2.0	0.63246	[1, 2, 2, 2, 3, 3, 2, 1, 2, 2] sweet<3	3.0	0.44721	[3, 3, 3, 3, 4, 2, 3, 3, 3, 3] sweetheart	3.3	1.00499	[4, 1, 3, 4, 4, 4, 2, 3, 4, 4] sweethearts	2.8	0.87178	[2, 2, 2, 4, 3, 2, 4, 3, 4, 2] sweetie	2.2	0.6	[2, 3, 3, 2, 1, 3, 2, 2, 2, 2] sweeties	2.1	0.9434	[1, 2, 2, 3, 2, 1, 2, 4, 3, 1] sweetly	2.1	0.7	[1, 2, 2, 2, 2, 2, 1, 3, 3, 3] sweetness	2.2	0.74833	[3, 2, 3, 1, 2, 2, 3, 3, 2, 1] sweets	2.2	0.6	[2, 1, 3, 2, 2, 2, 3, 2, 3, 2] swift	0.8	0.6	[1, 0, 1, 1, 0, 2, 0, 1, 1, 1] swiftly	1.2	0.9798	[0, 3, 1, 0, 1, 1, 1, 3, 1, 1] swindle	-2.4	1.0198	[-1, -4, -1, -3, -3, -2, -2, -2, -4, -2] swindles	-1.5	0.92195	[0, -2, -2, -3, -2, -1, -1, 0, -2, -2] swindling	-2.0	1.0	[-2, -2, -2, -4, -1, 0, -3, -2, -2, -2] sympathetic	2.3	0.64031	[3, 3, 2, 2, 3, 3, 2, 2, 1, 2] sympathy	1.5	1.11803	[-1, 2, 3, 2, 1, 1, 1, 2, 1, 3] talent	1.8	1.07703	[3, 1, 2, 2, 0, 3, 3, 2, 2, 0] talented	2.3	0.64031	[1, 2, 2, 3, 2, 3, 3, 2, 3, 2] talentless	-1.6	0.4899	[-2, -2, -2, -1, -2, -1, -1, -1, -2, -2] talents	2.0	1.18322	[2, 4, 1, 2, 0, 2, 4, 2, 2, 1] tantrum	-1.8	1.16619	[-3, -2, -2, -3, -1, 0, -1, 0, -3, -3] tantrums	-1.5	1.36015	[-1, -2, -4, -2, -2, -1, -1, 0, 1, -3] tard	-2.5	0.92195	[-3, -3, -3, -2, -2, -3, -1, -4, -1, -3] tears	-0.9	1.13578	[0, -2, -2, -1, -1, -2, -2, 1, 1, -1] teas	0.3	0.45826	[1, 0, 0, 0, 0, 1, 0, 1, 0, 0] tease	-1.3	0.9	[0, -1, -1, -2, -1, 0, -3, -2, -1, -2] teased	-1.2	0.87178	[0, -2, -2, -1, -1, -1, 0, -3, -1, -1] teasel	-0.1	0.3	[0, -1, 0, 0, 0, 0, 0, 0, 0, 0] teaseled	-0.8	0.74833	[-1, 0, -1, 0, 0, -1, -2, -1, -2, 0] teaseler	-0.8	0.87178	[0, 0, -2, 0, 0, -1, -2, -1, -2, 0] teaselers	-1.2	1.249	[0, -3, 0, 0, 0, -3, -2, -2, -2, 0] teaseling	-0.4	0.91652	[-1, 0, -3, 0, 0, 0, 0, 0, 0, 0] teaselled	-0.4	0.91652	[0, -3, 0, 0, 0, 0, -1, 0, 0, 0] teaselling	-0.2	0.4	[0, 0, 0, 0, -1, 0, -1, 0, 0, 0] teasels	-0.1	0.3	[0, 0, 0, 0, 0, 0, 0, 0, -1, 0] teaser	-1.0	1.18322	[0, -1, -3, -1, -1, -1, 0, -3, -1, 1] teasers	-0.7	1.1	[-1, -2, -3, -1, 0, 0, -1, 1, 0, 0] teases	-1.2	0.74833	[-1, -1, 0, -1, -2, -1, -3, -1, -1, -1] teashops	0.2	0.4	[0, 1, 0, 1, 0, 0, 0, 0, 0, 0] teasing	-0.3	1.1	[0, 0, 1, 1, -1, 0, 0, 0, -1, -3] teasingly	-0.4	1.11355	[0, 1, 1, 0, -2, 0, -2, 0, -2, 0] teaspoon	0.2	0.4	[0, 0, 0, 0, 0, 0, 1, 0, 1, 0] teaspoonful	0.2	0.4	[0, 0, 0, 1, 0, 0, 1, 0, 0, 0] teaspoonfuls	0.4	0.8	[2, 0, 0, 0, 0, 0, 0, 0, 2, 0] teaspoons	0.5	0.80623	[0, 0, 0, 2, 0, 0, 1, 2, 0, 0] teaspoonsful	0.3	0.9	[2, 0, 0, 0, 0, 2, 0, -1, 0, 0] temper	-1.8	0.4	[-1, -2, -2, -2, -2, -2, -2, -2, -1, -2] tempers	-1.3	0.64031	[-1, -1, 0, -1, -1, -2, -2, -2, -1, -2] tendered	0.5	0.92195	[0, 0, 2, 1, -1, -1, 1, 1, 1, 1] tenderer	0.6	0.66332	[0, 1, 1, 0, 0, 0, 2, 1, 1, 0] tenderers	1.2	0.9798	[2, 0, 0, 1, 0, 2, 3, 1, 1, 2] tenderest	1.4	1.56205	[2, 1, 3, -1, 0, 2, 2, 2, -1, 4] tenderfeet	-0.4	0.91652	[-1, -1, 0, 0, -1, 0, -1, -2, 1, 1] tenderfoot	-0.1	0.53852	[-1, 1, 0, 0, 0, 0, 0, -1, 0, 0] tenderfoots	-0.5	1.11803	[1, -1, 0, 0, 0, -1, -1, 1, -3, -1] tenderhearted	1.5	1.0247	[2, 2, 1, 2, 3, 1, 1, -1, 2, 2] tenderheartedly	2.7	0.64031	[2, 2, 2, 3, 3, 3, 3, 4, 3, 2] tenderheartedness	0.7	1.48661	[1, 3, 2, 2, -1, -1, 1, -2, 1, 1] tenderheartednesses	2.8	0.74833	[2, 3, 3, 2, 3, 3, 4, 4, 2, 2] tendering	0.6	0.66332	[0, 0, 1, 1, 1, 0, 0, 1, 2, 0] tenderization	0.2	0.74833	[-1, 2, 0, 0, 0, 1, 0, 0, 0, 0] tenderize	0.1	0.53852	[0, 0, 0, 0, 0, -1, 0, 1, 0, 1] tenderized	0.1	0.53852	[0, 1, 0, 1, 0, 0, -1, 0, 0, 0] tenderizer	0.4	0.66332	[0, 1, 0, 1, 0, 0, 2, 0, 0, 0] tenderizes	0.3	0.45826	[0, 1, 0, 1, 0, 0, 1, 0, 0, 0] tenderizing	0.3	0.45826	[1, 1, 0, 0, 0, 1, 0, 0, 0, 0] tenderloin	-0.2	0.74833	[0, 0, 0, 0, -2, 0, 1, 0, -1, 0] tenderloins	0.4	0.66332	[1, 0, 0, 0, 2, 0, 0, 1, 0, 0] tenderly	1.8	0.74833	[2, 1, 2, 1, 3, 2, 1, 2, 3, 1] tenderness	1.8	0.4	[2, 2, 1, 2, 2, 2, 2, 1, 2, 2] tendernesses	0.9	1.44568	[1, 2, 1, 1, 3, -1, -2, 2, 2, 0] tenderometer	0.2	0.4	[1, 0, 0, 0, 0, 1, 0, 0, 0, 0] tenderometers	0.2	0.4	[0, 0, 1, 0, 0, 0, 0, 0, 1, 0] tenders	0.6	0.8	[0, 2, 0, 1, 1, 1, -1, 0, 1, 1] tense	-1.4	0.4899	[-1, -1, -1, -1, -1, -2, -1, -2, -2, -2] tensed	-1.0	0.44721	[-1, 0, -1, -1, -1, -1, -2, -1, -1, -1] tensely	-1.2	0.6	[-1, -2, -2, -2, -1, 0, -1, -1, -1, -1] tenseness	-1.5	0.67082	[-1, -1, -1, -1, -1, -2, -2, -1, -2, -3] tenser	-1.5	0.67082	[-2, -2, -1, -2, -1, -1, -3, -1, -1, -1] tenses	-0.9	1.04403	[-1, -3, 0, 0, 0, -1, 0, -2, -2, 0] tensest	-1.2	1.07703	[-2, 0, -2, -2, -2, 0, 1, -1, -2, -2] tensing	-1.0	0.44721	[-1, -2, -1, 0, -1, -1, -1, -1, -1, -1] tension	-1.3	1.00499	[-2, -1, -1, -1, -1, -2, -2, -3, 1, -1] tensional	-0.8	0.74833	[-1, 0, -1, -1, -1, -2, 1, -1, -1, -1] tensioned	-0.4	1.11355	[-2, 0, -1, 2, -1, 0, -1, -1, -1, 1] tensioner	-1.6	0.8	[-1, -3, -2, -2, -2, 0, -1, -2, -1, -2] tensioners	-0.9	1.04403	[-1, 0, -2, -2, -1, 1, -2, 0, 0, -2] tensioning	-1.4	1.0198	[-1, -1, -1, -1, 0, -2, -3, -3, 0, -2] tensionless	0.6	0.8	[1, 1, 1, -1, 0, 0, 0, 2, 1, 1] tensions	-1.7	0.78102	[-1, -3, -1, -1, -2, -2, -3, -1, -2, -1] terrible	-2.1	0.9434	[-1, -3, -2, -1, -3, -1, -2, -2, -4, -2] terribleness	-1.9	1.81384	[3, -3, -3, -3, -3, -1, -2, -1, -3, -3] terriblenesses	-2.6	0.4899	[-2, -3, -3, -2, -3, -2, -2, -3, -3, -3] terribly	-2.6	0.4899	[-3, -3, -3, -2, -2, -3, -3, -2, -2, -3] terrific	2.1	1.81384	[4, 3, 4, 1, -1, -1, 4, 2, 2, 3] terrifically	1.7	1.95192	[2, 2, 4, 2, 3, 3, -2, 3, -2, 2] terrified	-3.0	0.63246	[-2, -3, -3, -3, -4, -3, -4, -2, -3, -3] terrifies	-2.6	1.0198	[-2, -4, -3, -3, -4, -1, -2, -3, -1, -3] terrify	-2.3	0.78102	[-3, -3, -2, -2, -1, -4, -2, -2, -2, -2] terrifying	-2.7	0.78102	[-4, -3, -3, -2, -2, -2, -4, -2, -3, -2] terror	-2.4	1.2	[-3, -4, -2, -1, 0, -4, -3, -2, -2, -3] terrorise	-3.1	0.83066	[-2, -3, -4, -4, -3, -3, -2, -4, -2, -4] terrorised	-3.3	0.64031	[-3, -3, -4, -3, -2, -4, -4, -3, -4, -3] terrorises	-3.3	0.45826	[-3, -3, -4, -3, -3, -4, -4, -3, -3, -3] terrorising	-3.0	0.44721	[-3, -3, -3, -3, -2, -3, -4, -3, -3, -3] terrorism	-3.6	0.4899	[-4, -3, -4, -4, -4, -3, -3, -4, -3, -4] terrorisms	-3.2	0.6	[-4, -4, -4, -3, -3, -3, -2, -3, -3, -3] terrorist	-3.7	0.45826	[-4, -3, -4, -4, -4, -3, -4, -4, -3, -4] terroristic	-3.3	0.78102	[-4, -3, -2, -3, -4, -3, -4, -2, -4, -4] terrorists	-3.1	0.9434	[-3, -4, -2, -2, -4, -2, -2, -4, -4, -4] terrorization	-2.7	0.9	[-4, -4, -3, -2, -2, -4, -2, -2, -2, -2] terrorize	-3.3	0.78102	[-4, -4, -3, -3, -4, -2, -2, -4, -3, -4] terrorized	-3.1	0.7	[-2, -3, -2, -4, -4, -4, -3, -3, -3, -3] terrorizes	-3.1	0.53852	[-2, -3, -3, -4, -3, -4, -3, -3, -3, -3] terrorizing	-3.0	1.0	[-3, -1, -4, -4, -4, -3, -2, -3, -2, -4] terrorless	0.9	1.04403	[-2, 2, 1, 2, 1, 1, 1, 1, 1, 1] terrors	-2.6	0.4899	[-2, -3, -3, -3, -2, -2, -3, -2, -3, -3] thank	1.5	0.92195	[3, 1, 1, 0, 1, 1, 2, 3, 1, 2] thanked	1.9	1.22066	[1, 3, 1, 1, 1, 1, 4, 4, 2, 1] thankful	2.7	0.78102	[4, 2, 2, 3, 2, 4, 3, 3, 2, 2] thankfuller	1.9	0.53852	[2, 2, 1, 2, 2, 2, 1, 2, 3, 2] thankfullest	2.0	1.0	[3, 1, 1, 4, 1, 2, 2, 2, 3, 1] thankfully	1.8	0.6	[2, 1, 2, 1, 2, 3, 2, 2, 1, 2] thankfulness	2.1	1.44568	[3, 3, 4, 2, 2, 1, -1, 1, 2, 4] thanks	1.9	1.04403	[1, 1, 1, 1, 3, 2, 1, 4, 3, 2] thief	-2.4	0.66332	[-3, -2, -2, -2, -2, -4, -2, -2, -3, -2] thieve	-2.2	0.4	[-2, -2, -2, -3, -2, -2, -3, -2, -2, -2] thieved	-1.4	1.28062	[-1, -2, -3, -1, -2, 2, -2, -1, -2, -2] thieveries	-2.1	0.53852	[-2, -3, -2, -3, -1, -2, -2, -2, -2, -2] thievery	-2.0	0.89443	[-2, -2, -2, -1, -1, -3, -1, -2, -4, -2] thieves	-2.3	0.78102	[-3, -2, -2, -4, -1, -2, -2, -2, -3, -2] thorny	-1.1	0.83066	[1, -1, -1, -1, -1, -1, -1, -2, -2, -2] thoughtful	1.6	0.4899	[2, 2, 1, 1, 1, 1, 2, 2, 2, 2] thoughtfully	1.7	0.64031	[2, 1, 1, 3, 1, 2, 1, 2, 2, 2] thoughtfulness	1.9	0.53852	[1, 2, 1, 2, 2, 3, 2, 2, 2, 2] thoughtless	-2.0	0.63246	[-2, -1, -3, -3, -2, -1, -2, -2, -2, -2] threat	-2.4	0.66332	[-2, -3, -2, -2, -2, -4, -3, -2, -2, -2] threaten	-1.6	1.56205	[-4, -1, -3, -2, 1, -3, -1, 1, -2, -2] threatened	-2.0	0.63246	[-2, -2, -3, -2, -2, -1, -2, -3, -1, -2] threatener	-1.4	1.68523	[-2, -2, -3, -2, 3, 0, -2, -3, -1, -2] threateners	-1.8	0.74833	[-3, -1, -2, -1, -1, -3, -2, -2, -2, -1] threatening	-2.4	0.8	[-3, -3, -2, -3, -2, -1, -3, -1, -3, -3] threateningly	-2.2	0.6	[-2, -2, -2, -2, -2, -2, -2, -2, -4, -2] threatens	-1.6	1.56205	[-2, -2, -2, 1, -4, -3, -3, -1, 1, -1] threating	-2.0	0.44721	[-3, -2, -2, -2, -1, -2, -2, -2, -2, -2] threats	-1.8	0.74833	[-1, -1, -1, -2, -2, -2, -3, -3, -2, -1] thrill	1.5	1.11803	[2, 2, 2, 0, 1, -1, 2, 3, 2, 2] thrilled	1.9	1.81384	[3, -1, 3, 3, 1, -2, 3, 3, 3, 3] thriller	0.4	1.2	[0, 0, 3, 1, 1, -2, 0, 1, 0, 0] thrillers	0.1	0.83066	[0, 2, 0, 0, 0, -1, 0, -1, 0, 1] thrilling	2.1	1.04403	[3, 0, 2, 3, 1, 3, 3, 2, 1, 3] thrillingly	2.0	0.7746	[0, 2, 2, 3, 3, 2, 2, 2, 2, 2] thrills	1.5	0.92195	[2, 3, 1, 2, 0, 2, 1, 0, 2, 2] thwarted	-0.1	1.75784	[1, -2, -3, 0, 2, 0, 2, -2, -1, 2] thwarting	-0.7	0.78102	[0, 0, -1, -1, -1, -2, 1, -1, -1, -1] thwarts	-0.4	1.28062	[-2, 0, 0, -2, 0, 1, 2, 0, -1, -2] ticked	-1.8	0.6	[-2, -1, -1, -2, -2, -1, -2, -2, -3, -2] timid	-1.0	0.44721	[-1, -1, -1, -1, 0, -1, -2, -1, -1, -1] timider	-1.0	0.44721	[-1, -2, -1, -1, -1, 0, -1, -1, -1, -1] timidest	-0.9	0.7	[0, -1, 0, -1, 0, -1, -1, -2, -1, -2] timidities	-0.7	0.64031	[-1, -1, -1, 0, -2, 0, -1, 0, 0, -1] timidity	-1.3	0.45826	[-1, -2, -1, -1, -1, -1, -2, -2, -1, -1] timidly	-0.7	0.78102	[0, -1, -1, -1, -1, 1, 0, -1, -2, -1] timidness	-1.0	0.89443	[-1, -2, -1, 0, -1, -2, 1, -2, -1, -1] timorous	-0.8	0.9798	[-2, -1, -1, -1, -1, -2, -1, 1, 1, -1] tired	-1.9	0.7	[-2, -1, -2, -3, -2, -3, -1, -1, -2, -2] tits	-0.9	0.53852	[-1, -1, -2, -1, -1, -1, 0, -1, 0, -1] tolerance	1.2	1.53623	[2, 3, 2, 2, -2, 1, 1, 3, -1, 1] tolerances	0.3	0.9	[-1, 1, 0, 0, 1, 2, 0, -1, 1, 0] tolerant	1.1	0.53852	[1, 2, 1, 1, 1, 1, 1, 1, 0, 2] tolerantly	0.4	1.2	[0, 1, 1, 1, 0, -3, 1, 1, 1, 1] toothless	-1.4	1.0198	[-1, -4, -1, -2, -1, 0, -1, -2, -1, -1] top	0.8	0.87178	[1, 3, 1, 1, 1, 0, 0, 1, 0, 0] tops	2.3	1.00499	[3, 3, 3, 0, 2, 2, 3, 3, 1, 3] torn	-1.0	1.0	[-1, -1, -1, 0, -1, -1, -3, -2, 1, -1] torture	-2.9	1.51327	[-4, -4, -3, -4, 1, -2, -3, -2, -4, -4] tortured	-2.6	1.0198	[-4, -1, -2, -2, -4, -3, -2, -2, -4, -2] torturer	-2.3	1.18743	[-4, -1, -1, -2, -4, -1, -2, -2, -4, -2] torturers	-3.5	0.67082	[-4, -4, -3, -3, -4, -4, -4, -2, -3, -4] tortures	-2.5	0.92195	[-2, -3, -2, -4, -1, -3, -2, -4, -2, -2] torturing	-3.0	0.89443	[-4, -4, -4, -2, -3, -2, -4, -2, -2, -3] torturous	-2.7	0.78102	[-3, -3, -1, -3, -4, -2, -2, -3, -3, -3] torturously	-2.2	1.6	[2, -3, -3, -2, -3, -2, -4, -3, -1, -3] totalitarian	-2.1	1.3	[0, -4, -3, 0, -3, -2, -3, -1, -2, -3] totalitarianism	-2.7	1.18743	[-2, -3, 0, -4, -2, -4, -4, -2, -3, -3] tough	-0.5	1.43178	[0, -2, 0, 0, 1, 2, -1, -2, -3, 0] toughed	0.7	0.64031	[1, 1, 0, 1, 1, 0, 2, 1, 0, 0] toughen	0.1	1.04403	[0, 0, 1, 0, 1, 0, 2, 0, -2, -1] toughened	0.1	0.53852	[1, 0, 0, 0, 0, -1, 1, 0, 0, 0] toughening	0.9	0.83066	[0, 2, 2, 1, 1, 0, 1, 0, 0, 2] toughens	-0.2	1.16619	[1, -1, 0, 1, 0, -2, -2, 1, -1, 1] tougher	0.7	1.00499	[1, 1, -1, 0, 2, 0, 2, 2, 0, 0] toughest	-0.3	1.84662	[2, 1, -1, -3, 0, -2, 2, -2, 2, -2] toughie	-0.7	0.64031	[-1, 1, 0, -1, -1, -1, -1, -1, -1, -1] toughies	-0.6	0.66332	[-1, -1, -1, 0, 0, -1, 1, -1, -1, -1] toughing	-0.5	1.20416	[-1, 0, -2, 0, 0, -2, 2, 0, -2, 0] toughish	-1.0	1.0	[0, -1, 0, -2, -2, -1, 1, -2, -2, -1] toughly	-1.1	0.83066	[-1, 0, 0, -1, 0, -1, -2, -2, -2, -2] toughness	-0.2	1.07703	[0, 0, -1, -2, 0, 1, 1, 1, -2, 0] toughnesses	0.3	1.18743	[1, 2, -1, 0, 1, 1, -2, 1, -1, 1] toughs	-0.8	1.16619	[0, 0, -1, 0, -1, -3, -2, 1, 0, -2] toughy	-0.5	1.11803	[-1, -2, -1, 0, -1, -1, 1, -1, 2, -1] tout	-0.5	0.67082	[-1, 0, -2, -1, 0, 0, -1, 0, 0, 0] touted	-0.2	0.9798	[-1, 2, 0, -2, -1, 0, 0, 0, 0, 0] touting	-0.7	0.64031	[0, 0, -1, -1, -1, -1, 0, -2, 0, -1] touts	-0.1	0.7	[1, 1, 0, -1, 0, -1, -1, 0, 0, 0] tragedian	-0.5	0.67082	[-2, 0, -1, 0, 0, -1, 0, -1, 0, 0] tragedians	-1.0	1.18322	[-1, 0, -2, -1, 0, -3, 0, 0, 0, -3] tragedienne	-0.4	0.4899	[0, 0, -1, -1, 0, 0, -1, -1, 0, 0] tragediennes	-1.4	1.28062	[0, -3, 0, -1, -3, 0, -2, -3, 0, -2] tragedies	-1.9	1.86815	[-3, -4, -2, 2, -3, -4, -2, 1, -2, -2] tragedy	-3.4	1.0198	[-4, -4, -4, -4, -2, -3, -1, -4, -4, -4] tragic	-2.0	1.94936	[-1, -3, -4, -3, -3, -4, -2, 1, 2, -3] tragical	-2.4	1.11355	[-3, -3, -3, -2, -1, -3, -4, -3, 0, -2] tragically	-2.7	1.48661	[-4, -4, -4, -2, -1, -4, -1, 0, -3, -4] tragicomedy	0.2	0.9798	[0, -2, 0, 0, 0, 2, 1, 1, 0, 0] tragicomic	-0.2	0.74833	[0, -1, 1, 0, 0, 0, -2, 0, 0, 0] tragics	-2.2	0.74833	[-3, -2, -4, -1, -2, -2, -2, -2, -2, -2] tranquil	0.2	1.77764	[2, 1, -1, 2, -3, 3, -1, 1, -1, -1] tranquiler	1.9	0.7	[2, 1, 2, 2, 3, 3, 2, 2, 1, 1] tranquilest	1.6	1.35647	[1, 2, 2, 2, 0, 2, -1, 4, 3, 1] tranquilities	1.5	1.36015	[3, 2, 4, -1, 1, 0, 2, 2, 1, 1] tranquility	1.8	1.16619	[3, 2, 1, 2, 3, 4, 1, 1, 1, 0] tranquilize	0.3	1.00499	[0, -2, 1, -1, 1, 1, 1, 0, 1, 1] tranquilized	-0.2	1.32665	[-2, 0, 1, 0, 1, 2, 0, -2, -2, 0] tranquilizer	-0.1	0.9434	[0, 1, -1, 0, -1, 0, -2, 1, 1, 0] tranquilizers	-0.4	0.8	[0, 0, 0, -2, -1, -1, -1, 1, 0, 0] tranquilizes	-0.1	0.9434	[-2, 0, 1, 0, 1, 1, 0, -1, -1, 0] tranquilizing	-0.5	0.67082	[-1, 0, 0, -1, -1, -1, 1, 0, -1, -1] tranquillest	0.8	1.4	[1, 1, 2, 3, 1, 1, 0, -1, -2, 2] tranquillities	0.5	1.20416	[-2, 1, 2, 0, 2, 1, 0, -1, 1, 1] tranquillity	1.8	1.07703	[1, 2, 2, 2, 3, 3, 2, -1, 2, 2] tranquillized	-0.2	1.07703	[0, 1, 0, 0, -3, 0, 1, 0, -1, 0] tranquillizer	-0.1	0.7	[0, 1, 0, 0, -1, 0, 1, 0, -1, -1] tranquillizers	-0.2	0.74833	[0, 0, 0, -2, 1, 0, 0, 0, -1, 0] tranquillizes	0.1	0.7	[-1, -1, 0, 0, 1, 1, 1, 0, 0, 0] tranquillizing	0.8	0.87178	[1, 2, 0, 2, 0, 0, 2, 0, 0, 1] tranquilly	1.2	0.87178	[2, 2, 1, 2, -1, 2, 1, 1, 1, 1] tranquilness	1.5	1.20416	[3, 3, 1, 2, 2, 2, 0, -1, 1, 2] trap	-1.3	0.78102	[-1, -1, -2, 0, -1, -1, -2, -1, -1, -3] trapped	-2.4	0.91652	[-3, -2, -3, -1, -3, -1, -2, -2, -4, -3] trauma	-1.8	1.249	[-2, -2, -3, -1, -2, 1, -2, -4, -1, -2] traumas	-2.2	1.6	[-3, -3, -2, -4, 0, -1, -4, -3, 1, -3] traumata	-1.7	1.34536	[-2, -3, -2, 0, -2, 1, -4, -2, -1, -2] traumatic	-2.7	1.00499	[-2, -4, -2, -1, -4, -3, -2, -3, -4, -2] traumatically	-2.8	0.6	[-4, -2, -3, -2, -2, -3, -3, -3, -3, -3] traumatise	-2.8	0.6	[-4, -3, -3, -2, -2, -3, -2, -3, -3, -3] traumatised	-2.4	0.91652	[-4, -4, -2, -2, -1, -2, -3, -2, -2, -2] traumatises	-2.2	0.87178	[-3, -4, -2, -2, -1, -2, -3, -1, -2, -2] traumatising	-1.9	1.86815	[-3, -3, -3, -1, -3, 1, -4, -2, 2, -3] traumatism	-2.4	0.4899	[-3, -2, -3, -2, -2, -2, -2, -3, -3, -2] traumatization	-3.0	1.0	[-4, -4, -4, -2, -2, -2, -4, -4, -2, -2] traumatizations	-2.2	1.16619	[-3, -2, -4, 0, -1, -2, -4, -2, -2, -2] traumatize	-2.4	0.66332	[-3, -3, -2, -4, -2, -2, -2, -2, -2, -2] traumatized	-1.7	1.41774	[-1, -2, -2, -2, 2, -4, -2, -2, -2, -2] traumatizes	-1.4	1.42829	[-2, -1, -2, -2, 2, -4, -1, -2, -1, -1] traumatizing	-2.3	1.61555	[-4, -2, -2, -3, -2, -4, -4, 1, 0, -3] travesty	-2.7	1.48661	[-3, -4, 0, -2, -4, -3, -4, 0, -3, -4] treason	-1.9	1.75784	[-3, -3, -2, -3, -3, 1, -2, -3, -3, 2] treasonous	-2.7	1.34536	[-3, -3, -3, -4, -3, -4, -2, 1, -3, -3] treasurable	2.5	0.67082	[2, 3, 3, 3, 2, 4, 2, 2, 2, 2] treasure	1.2	1.16619	[3, 1, 3, 2, 0, 2, 1, 0, 0, 0] treasured	2.6	0.66332	[3, 3, 2, 3, 3, 2, 1, 3, 3, 3] treasurer	0.5	0.67082	[1, 0, 0, 0, 1, 0, 0, 0, 1, 2] treasurers	0.4	0.66332	[0, 0, 0, 0, 1, 1, 2, 0, 0, 0] treasurership	0.4	0.66332	[0, 0, 2, 0, 1, 0, 1, 0, 0, 0] treasurerships	1.2	0.87178	[2, 0, 2, 0, 2, 1, 2, 2, 1, 0] treasures	1.8	1.32665	[3, 3, 0, 1, 1, 4, 0, 3, 2, 1] treasuries	0.9	1.04403	[0, 0, 1, 3, 2, 2, 0, 1, 0, 0] treasuring	2.1	0.7	[2, 1, 3, 1, 3, 2, 2, 2, 2, 3] treasury	0.8	1.07703	[2, 3, 0, 0, 0, 0, 0, 1, 2, 0] treat	1.7	0.78102	[2, 2, 2, 0, 2, 1, 3, 2, 1, 2] tremble	-1.1	1.3	[-2, 0, -1, -2, -2, -2, 2, 0, -2, -2] trembled	-1.1	1.22066	[-1, 1, -1, -2, -2, -1, -3, -2, 1, -1] trembler	-0.6	1.28062	[-2, -2, -1, 0, -1, 2, 1, -2, -1, 0] tremblers	-1.0	0.63246	[-2, 0, -1, -1, 0, -2, -1, -1, -1, -1] trembles	-0.1	1.51327	[-1, -2, -1, 0, -1, 2, 2, -2, 2, 0] trembling	-1.5	0.92195	[-3, 0, -1, -3, -1, -1, -1, -2, -1, -2] trembly	-1.2	0.87178	[-2, 0, -1, -2, -2, -1, 0, 0, -2, -2] tremulous	-1.0	1.09545	[-1, -2, -1, -1, -1, -1, 2, -2, -2, -1] trick	-0.2	1.32665	[-1, 1, -2, -2, -1, 2, 0, 1, 1, -1] tricked	-0.6	0.91652	[-1, -1, -1, -1, 2, 0, -1, -1, -1, -1] tricker	-0.9	0.83066	[-2, 0, -1, -1, 1, -2, -1, -1, -1, -1] trickeries	-1.2	1.46969	[-2, -2, -1, -2, -1, 2, 1, -2, -3, -2] trickers	-1.4	0.66332	[-1, -3, -1, -2, -2, -1, -1, -1, -1, -1] trickery	-1.1	1.51327	[1, -1, -1, -2, -3, -2, -3, 2, -1, -1] trickie	-0.4	1.0198	[1, -1, 0, -1, -1, 1, -2, -1, 1, -1] trickier	-0.7	0.78102	[-1, -1, -1, 0, 1, -1, -1, -1, 0, -2] trickiest	-1.2	0.6	[-2, -2, 0, -1, -2, -1, -1, -1, -1, -1] trickily	-0.8	0.74833	[0, 1, -1, -1, -1, -1, -1, -1, -2, -1] trickiness	-1.2	0.9798	[-2, -1, -1, -2, -1, -2, 1, 0, -2, -2] trickinesses	-0.4	1.0198	[0, 2, 0, -2, -1, -1, 0, 0, -1, -1] tricking	0.1	1.37477	[0, -2, 2, -1, 2, -2, 0, 1, 1, 0] trickish	-1.0	0.44721	[-1, -2, 0, -1, -1, -1, -1, -1, -1, -1] trickishly	-0.7	1.55242	[-3, -2, -1, 2, -1, 2, -2, -1, 0, -1] trickishness	-0.4	1.28062	[-1, 1, -2, -1, -1, -1, 0, -2, 1, 2] trickled	0.1	0.3	[0, 0, 0, 0, 0, 0, 0, 0, 1, 0] trickledown	-0.7	0.64031	[0, -1, 0, -1, -2, 0, 0, -1, -1, -1] trickles	0.2	0.4	[0, 0, 0, 1, 0, 0, 0, 0, 1, 0] trickling	-0.2	0.9798	[0, 0, -1, -2, -1, 2, 0, 0, 0, 0] trickly	-0.3	0.45826	[0, 0, -1, 0, 0, 0, 0, -1, 0, -1] tricks	-0.5	0.67082	[0, 0, -1, -1, 1, -1, -1, 0, -1, -1] tricksier	-0.5	0.67082	[-1, -1, 1, 0, -1, 0, 0, -1, -1, -1] tricksiness	-1.0	0.89443	[0, 0, -1, -1, -1, 0, -1, -2, -3, -1] trickster	-0.9	0.83066	[-1, -2, 0, -1, -2, -1, -1, 1, -1, -1] tricksters	-1.3	0.9	[-1, -2, -1, -2, 1, -2, -2, -1, -1, -2] tricksy	-0.8	0.9798	[-1, -1, -2, -1, 2, -1, -1, -1, -1, -1] tricky	-0.6	0.66332	[0, 0, -1, -1, 1, -1, -1, -1, -1, -1] trite	-0.8	0.4	[-1, -1, 0, 0, -1, -1, -1, -1, -1, -1] triumph	2.1	1.04403	[2, 4, 3, 3, 1, 3, 1, 2, 1, 1] triumphal	2.0	0.63246	[2, 3, 3, 2, 1, 2, 1, 2, 2, 2] triumphalisms	1.9	0.9434	[2, 1, 2, 2, 2, 0, 2, 2, 4, 2] triumphalist	0.5	1.20416	[1, 1, 2, 2, -1, -2, 0, 1, 0, 1] triumphalists	0.9	1.64012	[1, -1, 0, 0, 1, 3, -2, 3, 1, 3] triumphant	2.4	0.91652	[2, 3, 3, 3, 4, 1, 2, 1, 3, 2] triumphantly	2.3	1.00499	[3, 3, 3, 3, 1, 0, 3, 2, 2, 3] triumphed	2.2	1.4	[2, 3, 3, 3, 4, 3, 1, 1, -1, 3] triumphing	2.3	0.64031	[2, 2, 3, 2, 2, 3, 2, 3, 1, 3] triumphs	2.0	1.41421	[3, 2, 3, 3, 3, 1, -1, 1, 1, 4] trivial	-0.1	0.83066	[0, -1, -1, 0, 1, 0, 1, -1, 1, -1] trivialise	-0.8	1.16619	[-3, -1, -2, 0, 1, -1, -1, 1, -1, -1] trivialised	-0.8	1.6	[-2, 0, -2, 1, -1, 0, 1, 1, -4, -2] trivialises	-1.1	0.53852	[-1, -1, -1, 0, -1, -1, -1, -2, -2, -1] trivialising	-1.4	0.66332	[-2, -1, -2, -1, 0, -1, -2, -1, -2, -2] trivialities	-1.0	0.63246	[-2, -2, -1, -1, -1, 0, 0, -1, -1, -1] triviality	-0.5	1.11803	[-1, -1, -2, 0, -1, -1, 2, -1, 1, -1] trivialization	-0.9	1.04403	[-1, 2, -1, -1, -2, -2, -1, -1, -1, -1] trivializations	-0.7	1.18743	[-2, -1, -1, -2, 1, -1, -1, -1, 2, -1] trivialize	-1.1	0.53852	[0, -2, -2, -1, -1, -1, -1, -1, -1, -1] trivialized	-0.6	0.8	[-1, -1, 0, 0, -1, -1, 1, -1, 0, -2] trivializes	-1.0	0.7746	[-1, -1, -1, 0, -1, 0, -1, -1, -1, -3] trivializing	-0.6	1.95959	[-1, -1, -2, -1, -1, 2, -2, -4, 1, 3] trivially	0.4	1.56205	[-1, -1, -1, -1, 0, 3, 0, 2, 3, 0] trivium	-0.3	0.64031	[0, 0, -2, 0, 0, 0, 0, -1, 0, 0] trouble	-1.7	0.64031	[-2, -2, -1, -1, -3, -2, -1, -2, -1, -2] troubled	-2.0	0.44721	[-2, -2, -2, -1, -2, -3, -2, -2, -2, -2] troublemaker	-2.0	0.63246	[-3, -2, -3, -2, -2, -1, -1, -2, -2, -2] troublemakers	-2.2	0.74833	[-3, -3, -3, -1, -3, -1, -2, -2, -2, -2] troublemaking	-1.8	0.6	[-2, -1, -1, -2, -2, -2, -3, -2, -1, -2] troubler	-1.4	0.4899	[-1, -1, -2, -1, -1, -1, -2, -2, -2, -1] troublers	-1.9	0.3	[-2, -2, -2, -2, -1, -2, -2, -2, -2, -2] troubles	-2.0	0.44721	[-2, -2, -2, -1, -2, -3, -2, -2, -2, -2] troubleshoot	0.8	0.9798	[0, 0, 0, 2, 2, 2, 2, 0, 0, 0] troubleshooter	1.0	0.89443	[0, 0, 0, 1, 2, 2, 0, 1, 2, 2] troubleshooters	0.8	0.87178	[0, 0, 1, 2, 0, 1, 0, 2, 2, 0] troubleshooting	0.7	1.34536	[0, 2, 1, 1, -1, 2, 0, 2, -2, 2] troubleshoots	0.5	0.92195	[1, -1, 0, 0, 0, 0, 1, 0, 2, 2] troublesome	-2.3	0.78102	[-3, -2, -3, -2, -3, -3, -1, -2, -1, -3] troublesomely	-1.8	0.6	[-3, -1, -2, -2, -1, -2, -2, -2, -2, -1] troublesomeness	-1.9	0.7	[-2, -1, -2, -3, -2, -3, -1, -2, -1, -2] troubling	-2.5	0.67082	[-3, -3, -3, -3, -1, -2, -3, -2, -3, -2] troublous	-2.1	0.53852	[-2, -2, -2, -2, -2, -3, -2, -3, -1, -2] troublously	-2.1	1.22066	[-2, -3, -3, -3, -2, -1, 1, -2, -3, -3] trueness	2.1	0.9434	[2, 1, 1, 3, 3, 4, 2, 1, 2, 2] truer	1.5	0.67082	[1, 2, 1, 2, 1, 1, 2, 1, 3, 1] truest	1.9	0.83066	[2, 2, 2, 3, 3, 0, 2, 1, 2, 2] truly	1.9	0.9434	[4, 3, 1, 2, 2, 1, 1, 1, 2, 2] trust	2.3	1.26886	[0, 4, 3, 3, 4, 1, 2, 2, 1, 3] trustability	2.1	0.7	[1, 3, 3, 2, 2, 2, 1, 3, 2, 2] trustable	2.3	0.45826	[2, 2, 3, 2, 2, 3, 3, 2, 2, 2] trustbuster	-0.5	1.28452	[-3, -1, 0, 0, 0, 0, -2, 0, 2, -1] trusted	2.1	0.9434	[3, 2, 2, 1, 4, 1, 2, 2, 3, 1] trustee	1.0	0.89443	[2, 2, 0, 1, 1, 0, 2, 0, 2, 0] trustees	0.3	0.64031	[0, 1, 0, 0, 2, 0, 0, 0, 0, 0] trusteeship	0.5	0.67082	[0, 1, 1, 0, 0, 1, 0, 0, 2, 0] trusteeships	0.6	1.0198	[3, 0, 0, 0, 0, 0, 0, 2, 1, 0] truster	1.9	1.3	[2, 2, 1, 1, 4, 0, 3, 1, 4, 1] trustful	2.1	0.9434	[1, 2, 2, 1, 2, 2, 1, 3, 3, 4] trustfully	1.5	0.67082	[2, 1, 2, 1, 1, 3, 1, 2, 1, 1] trustfulness	2.1	0.83066	[3, 2, 3, 2, 3, 2, 2, 2, 0, 2] trustier	1.3	1.1	[1, 1, 1, 2, 0, 0, 3, 0, 3, 2] trusties	1.0	0.7746	[1, 1, 0, 2, 1, 0, 2, 0, 1, 2] trustiest	2.2	0.87178	[3, 2, 2, 3, 2, 2, 4, 1, 1, 2] trustily	1.6	0.91652	[2, 0, 3, 1, 2, 1, 1, 1, 2, 3] trustiness	1.6	0.91652	[2, 3, 0, 1, 2, 2, 2, 2, 0, 2] trusting	1.7	1.00499	[3, 0, 1, 2, 3, 0, 2, 2, 2, 2] trustingly	1.6	0.91652	[3, 1, 2, 3, 2, 2, 0, 1, 1, 1] trustingness	1.6	1.2	[1, 2, 1, 3, 2, 1, 4, 2, 0, 0] trustless	-2.3	0.78102	[-2, -4, -3, -2, -2, -3, -2, -2, -1, -2] trustor	0.4	0.66332	[2, 0, 0, 1, 0, 0, 0, 1, 0, 0] trustors	1.2	0.87178	[0, 0, 2, 1, 1, 2, 2, 2, 0, 2] trusts	2.1	0.53852	[2, 2, 2, 2, 1, 2, 2, 3, 2, 3] trustworthily	2.3	0.9	[3, 1, 2, 2, 2, 1, 3, 4, 3, 2] trustworthiness	1.8	0.74833	[2, 1, 3, 1, 2, 2, 1, 2, 3, 1] trustworthy	2.6	0.91652	[3, 2, 3, 4, 2, 4, 2, 3, 1, 2] trusty	2.2	0.74833	[3, 2, 3, 1, 2, 2, 3, 2, 1, 3] truth	1.3	1.00499	[2, 1, 0, 1, 1, 0, 3, 3, 1, 1] truthful	2.0	0.63246	[2, 2, 1, 3, 3, 2, 1, 2, 2, 2] truthfully	1.9	1.04403	[3, 1, 3, 0, 2, 1, 3, 2, 1, 3] truthfulness	1.7	1.1	[3, 2, 2, 2, 1, -1, 3, 2, 2, 1] truths	1.8	0.87178	[0, 1, 1, 3, 2, 2, 3, 2, 2, 2] tumor	-1.6	1.49666	[-3, -2, -2, -1, -2, 1, -4, 1, -2, -2] turmoil	-1.5	0.92195	[-1, -1, -3, -3, -2, -2, -1, -1, 0, -1] twat	-3.4	0.91652	[-3, -4, -4, -4, -3, -1, -4, -4, -3, -4] ugh	-1.8	0.9798	[-1, -1, -1, -1, -1, -2, -4, -2, -3, -2] uglier	-2.2	0.87178	[-2, -2, -1, -3, -4, -1, -3, -2, -2, -2] uglies	-2.0	0.89443	[-2, -2, -1, -3, -4, -1, -2, -2, -1, -2] ugliest	-2.8	0.74833	[-3, -3, -4, -3, -3, -3, -3, -3, -1, -2] uglification	-2.2	0.87178	[-3, -1, -2, -2, -1, -2, -4, -3, -2, -2] uglified	-1.5	0.67082	[-1, -1, -3, -2, -2, -1, -1, -1, -2, -1] uglifies	-1.8	0.74833	[-1, -1, -3, -2, -3, -1, -2, -2, -2, -1] uglify	-2.1	0.9434	[-3, -3, -1, -4, -2, -2, -1, -2, -1, -2] uglifying	-2.2	0.4	[-3, -2, -2, -2, -2, -2, -2, -2, -3, -2] uglily	-2.1	0.3	[-3, -2, -2, -2, -2, -2, -2, -2, -2, -2] ugliness	-2.7	0.9	[-4, -2, -3, -2, -4, -2, -4, -2, -2, -2] uglinesses	-2.5	1.0247	[-3, -3, -2, -1, -1, -3, -2, -2, -4, -4] ugly	-2.3	0.9	[-3, -2, -1, -2, -4, -1, -3, -2, -2, -3] unacceptable	-2.0	0.44721	[-2, -2, -1, -2, -2, -2, -2, -3, -2, -2] unappreciated	-1.7	0.78102	[-1, -3, -2, -1, -1, -1, -2, -1, -2, -3] unapproved	-1.4	0.4899	[-1, -1, -1, -2, -2, -1, -2, -2, -1, -1] unattractive	-1.9	0.53852	[-1, -2, -3, -2, -1, -2, -2, -2, -2, -2] unaware	-0.8	0.4	[-1, -1, -1, 0, -1, -1, 0, -1, -1, -1] unbelievable	0.8	1.6	[0, 0, 1, -2, 1, 3, 1, 0, 4, 0] unbelieving	-0.8	0.4	[0, -1, -1, -1, -1, -1, -1, 0, -1, -1] unbiased	-0.1	1.22066	[-2, -1, 2, 1, 0, -1, -1, 1, 1, -1] uncertain	-1.2	0.6	[-2, -1, -2, -1, -1, -1, 0, -1, -2, -1] uncertainly	-1.4	0.4899	[-2, -1, -1, -1, -2, -1, -1, -2, -2, -1] uncertainness	-1.3	0.45826	[-2, -2, -1, -1, -1, -1, -1, -2, -1, -1] uncertainties	-1.4	0.66332	[-3, -2, -1, -1, -1, -1, -1, -2, -1, -1] uncertainty	-1.4	0.4899	[-1, -1, -2, -1, -2, -1, -2, -1, -2, -1] unclear	-1.0	0.44721	[-2, -1, 0, -1, -1, -1, -1, -1, -1, -1] uncomfortable	-1.6	0.4899	[-2, -1, -2, -1, -1, -2, -2, -1, -2, -2] uncomfortably	-1.7	0.64031	[-2, -1, -3, -1, -1, -2, -2, -1, -2, -2] uncompelling	-0.9	0.7	[0, -2, -1, 0, -1, -1, -1, 0, -1, -2] unconcerned	-0.9	0.83066	[-2, -2, -1, 1, -1, -1, -1, 0, -1, -1] unconfirmed	-0.5	0.67082	[0, -1, 0, -1, 0, -1, 0, 0, -2, 0] uncontrollability	-1.7	0.45826	[-1, -1, -2, -2, -2, -2, -1, -2, -2, -2] uncontrollable	-1.5	1.11803	[-2, -1, -1, -2, -1, -1, 1, -2, -3, -3] uncontrollably	-1.5	0.67082	[-2, -1, 0, -2, -1, -1, -2, -2, -2, -2] uncontrolled	-1.0	0.7746	[-1, 0, -1, -2, -1, 0, -1, -2, -2, 0] unconvinced	-1.6	0.8	[-2, -3, -1, -2, -1, 0, -2, -2, -1, -2] uncredited	-1.0	1.09545	[-1, -2, -2, 2, -1, -2, -1, -1, -1, -1] undecided	-0.9	0.9434	[-1, 0, -1, 0, -1, -1, -2, 0, -3, 0] underestimate	-1.2	0.4	[-1, -2, -1, -1, -1, -1, -1, -1, -2, -1] underestimated	-1.1	0.53852	[-1, -1, -1, -2, 0, -1, -2, -1, -1, -1] underestimates	-1.1	1.64012	[-2, -4, -1, -1, -1, -1, 3, -1, -2, -1] undermine	-1.2	1.16619	[-2, -2, -1, -1, -1, -1, 2, -2, -2, -2] undermined	-1.5	0.67082	[-1, -2, -1, -3, -1, -1, -1, -2, -2, -1] undermines	-1.4	0.4899	[-1, -2, -1, -2, -1, -1, -1, -2, -2, -1] undermining	-1.5	0.67082	[-1, -3, -1, -2, -2, -1, -1, -1, -2, -1] undeserving	-1.9	0.3	[-2, -2, -1, -2, -2, -2, -2, -2, -2, -2] undesirable	-1.9	0.7	[-1, -2, -3, -1, -3, -2, -1, -2, -2, -2] unease	-1.7	0.64031	[-2, -2, -2, -1, -1, -2, -1, -3, -1, -2] uneasier	-1.4	0.4899	[-1, -1, -1, -2, -2, -1, -2, -2, -1, -1] uneasiest	-2.1	0.83066	[-1, -4, -3, -2, -2, -2, -2, -2, -1, -2] uneasily	-1.4	1.0198	[-2, -2, -1, -1, -2, 1, -3, -1, -2, -1] uneasiness	-1.6	0.4899	[-2, -2, -1, -2, -1, -1, -2, -2, -1, -2] uneasinesses	-1.8	0.87178	[-2, -1, -4, -1, -1, -2, -2, -2, -1, -2] uneasy	-1.6	0.4899	[-1, -2, -2, -1, -1, -2, -2, -1, -2, -2] unemployment	-1.9	0.7	[-2, -1, -2, -3, -1, -2, -1, -2, -2, -3] unequal	-1.4	0.66332	[-1, -2, -2, -2, -1, -1, -2, 0, -2, -1] unequaled	0.5	1.80278	[-2, 3, 0, 3, 3, 0, 0, 0, -2, 0] unethical	-2.3	0.78102	[-3, -3, -1, -2, -2, -2, -3, -1, -3, -3] unfair	-2.1	0.83066	[-1, -3, -3, -2, -3, -1, -2, -3, -1, -2] unfocused	-1.7	0.64031	[-2, -1, -2, -1, -1, -2, -3, -2, -1, -2] unfortunate	-2.0	0.63246	[-2, -2, -2, -3, -3, -1, -2, -1, -2, -2] unfortunately	-1.4	0.91652	[-2, -1, -2, -2, 1, -2, -1, -1, -2, -2] unfortunates	-1.9	0.7	[-2, -3, -1, -1, -2, -2, -2, -1, -3, -2] unfriendly	-1.5	0.5	[-1, -2, -1, -2, -1, -2, -2, -2, -1, -1] unfulfilled	-1.8	0.4	[-2, -2, -2, -2, -1, -2, -2, -1, -2, -2] ungrateful	-2.0	0.0	[-2, -2, -2, -2, -2, -2, -2, -2, -2, -2] ungratefully	-1.8	0.6	[-2, -2, -1, -2, -2, -1, -3, -1, -2, -2] ungratefulness	-1.6	0.4899	[-2, -2, -2, -2, -1, -1, -1, -2, -2, -1] unhappier	-2.4	0.8	[-2, -2, -1, -4, -3, -3, -2, -2, -2, -3] unhappiest	-2.5	0.80623	[-3, -4, -3, -2, -1, -3, -2, -2, -2, -3] unhappily	-1.9	0.53852	[-2, -1, -2, -2, -3, -2, -1, -2, -2, -2] unhappiness	-2.4	0.66332	[-3, -2, -2, -3, -2, -2, -3, -1, -3, -3] unhappinesses	-2.2	0.87178	[-3, -4, -2, -2, -2, -2, -1, -2, -1, -3] unhappy	-1.8	0.6	[-2, -2, -1, -3, -2, -2, -2, -1, -2, -1] unhealthy	-2.4	0.66332	[-1, -2, -3, -3, -2, -3, -3, -2, -2, -3] unified	1.6	0.66332	[1, 2, 2, 1, 2, 1, 2, 1, 3, 1] unimportant	-1.3	0.45826	[-1, -1, -2, -1, -1, -2, -1, -1, -2, -1] unimpressed	-1.4	0.66332	[-1, -1, -1, -2, -1, -2, -1, -1, -3, -1] unimpressive	-1.4	0.4899	[-1, -2, -2, -1, -1, -2, -2, -1, -1, -1] unintelligent	-2.0	1.18322	[-1, -2, -3, -1, -1, -4, -1, -1, -4, -2] uninvolved	-2.2	0.9798	[-2, -1, -3, -2, -1, -3, -1, -2, -4, -3] uninvolving	-2.0	1.18322	[-4, -1, -3, -2, -1, -4, -1, -1, -2, -1] united	1.8	0.6	[1, 2, 2, 2, 1, 2, 2, 1, 2, 3] unjust	-2.3	0.45826	[-3, -3, -2, -2, -2, -2, -3, -2, -2, -2] unkind	-1.6	0.66332	[-2, -2, -1, -1, -1, -2, -3, -1, -1, -2] unlovable	-2.7	0.9	[-4, -2, -1, -3, -3, -3, -4, -2, -3, -2] unloved	-1.9	0.53852	[-1, -2, -2, -1, -2, -2, -3, -2, -2, -2] unlovelier	-1.9	0.7	[-2, -2, -1, -3, -1, -2, -1, -3, -2, -2] unloveliest	-1.9	0.83066	[-2, -4, -2, -2, -1, -1, -1, -2, -2, -2] unloveliness	-2.0	0.89443	[-2, -3, -1, -1, -3, -1, -3, -2, -3, -1] unlovely	-2.1	0.53852	[-2, -3, -2, -3, -1, -2, -2, -2, -2, -2] unloving	-2.3	0.45826	[-2, -3, -2, -3, -2, -2, -2, -3, -2, -2] unmatched	-0.3	2.0025	[0, -1, 2, 3, 0, -1, -3, 0, -4, 1] unmotivated	-1.4	0.4899	[-2, -2, -1, -1, -1, -2, -2, -1, -1, -1] unpleasant	-2.1	0.53852	[-2, -2, -3, -3, -2, -2, -2, -2, -1, -2] unprofessional	-2.3	0.78102	[-2, -1, -3, -3, -2, -1, -3, -2, -3, -3] unprotected	-1.5	0.67082	[-2, -2, -1, -1, -3, -1, -1, -2, -1, -1] unresearched	-1.1	0.7	[-2, -1, -1, -1, -1, -2, -2, 0, 0, -1] unsatisfied	-1.7	0.64031	[-2, -1, -2, -1, -1, -2, -3, -1, -2, -2] unsavory	-1.9	0.53852	[-2, -1, -2, -2, -2, -3, -1, -2, -2, -2] unsecured	-1.6	0.4899	[-1, -2, -2, -1, -1, -2, -1, -2, -2, -2] unsettled	-1.3	0.45826	[-1, -1, -1, -2, -2, -1, -2, -1, -1, -1] unsophisticated	-1.2	0.87178	[-1, -1, -1, -2, -2, -2, -1, -2, 1, -1] unstable	-1.5	0.5	[-2, -2, -1, -2, -1, -1, -1, -2, -2, -1] unstoppable	-0.8	1.77764	[0, -4, 2, 0, 1, -2, -2, 0, -3, 0] unsuccessful	-1.5	0.5	[-2, -1, -1, -2, -2, -1, -1, -1, -2, -2] unsuccessfully	-1.7	0.78102	[-2, -2, -1, -1, -1, -2, -3, -3, -1, -1] unsupported	-1.7	0.78102	[-2, 0, -3, -2, -2, -1, -2, -2, -1, -2] unsure	-1.0	0.44721	[-1, -1, -1, -1, 0, -2, -1, -1, -1, -1] unsurely	-1.3	0.78102	[-1, 0, -1, -1, -1, -3, -1, -2, -2, -1] untarnished	1.6	1.35647	[3, 2, 2, 1, 1, 2, -2, 3, 2, 2] unwanted	-0.9	1.3	[-1, -2, -2, -1, -2, 1, 2, -1, -2, -1] unwelcome	-1.7	0.45826	[-2, -2, -2, -1, -1, -2, -2, -1, -2, -2] unworthy	-2.0	0.44721	[-3, -2, -2, -2, -2, -2, -1, -2, -2, -2] upset	-1.6	0.4899	[-1, -1, -2, -2, -1, -1, -2, -2, -2, -2] upsets	-1.5	0.67082	[-2, -3, -1, -1, -1, -1, -2, -2, -1, -1] upsetter	-1.9	0.7	[-2, -2, -1, -1, -3, -2, -3, -1, -2, -2] upsetters	-2.0	0.63246	[-3, -3, -1, -2, -2, -2, -2, -2, -1, -2] upsetting	-2.1	0.53852	[-2, -3, -2, -3, -2, -1, -2, -2, -2, -2] uptight	-1.6	0.4899	[-2, -1, -2, -1, -1, -2, -2, -1, -2, -2] uptightness	-1.2	0.4	[-1, -2, -1, -2, -1, -1, -1, -1, -1, -1] urgent	0.8	1.16619	[3, -1, 0, 1, 1, 0, 0, 0, 2, 2] useful	1.9	0.83066	[2, 1, 1, 2, 2, 4, 2, 1, 2, 2] usefully	1.8	0.6	[2, 2, 1, 3, 1, 2, 1, 2, 2, 2] usefulness	1.2	1.32665	[3, 1, 3, -1, 2, 2, 1, 1, -1, 1] useless	-1.8	0.4	[-2, -1, -2, -2, -1, -2, -2, -2, -2, -2] uselessly	-1.5	0.67082	[-2, -3, -1, -1, -1, -1, -2, -2, -1, -1] uselessness	-1.6	0.8	[-3, -2, -2, -2, -1, -2, 0, -1, -1, -2] v.v	-2.9	0.9434	[-3, -3, -4, -3, -1, -3, -4, -2, -4, -2] vague	-0.4	0.8	[0, -1, -1, -1, 0, -1, 1, -1, 1, -1] vain	-1.8	0.6	[-2, -1, -2, -3, -2, -1, -1, -2, -2, -2] validate	1.5	0.92195	[1, 2, 1, 1, 1, 3, 1, 3, 0, 2] validated	0.9	0.83066	[2, 1, 0, 1, 1, 0, 2, 0, 0, 2] validates	1.4	0.66332	[1, 1, 1, 2, 3, 1, 2, 1, 1, 1] validating	1.4	0.8	[2, 2, 1, 3, 0, 2, 1, 1, 1, 1] valuable	2.1	0.83066	[3, 2, 4, 2, 2, 2, 2, 1, 1, 2] valuableness	1.7	0.78102	[2, 2, 1, 3, 3, 2, 1, 1, 1, 1] valuables	2.1	0.83066	[4, 1, 2, 2, 3, 2, 1, 2, 2, 2] valuably	2.3	1.00499	[3, 4, 4, 1, 2, 2, 2, 2, 1, 2] value	1.4	1.11355	[2, 3, 0, 1, 1, 3, 0, 2, 0, 2] valued	1.9	0.7	[3, 1, 2, 1, 2, 2, 2, 3, 2, 1] values	1.7	1.18743	[2, 2, 2, 4, 0, 1, 0, 1, 3, 2] valuing	1.4	0.91652	[1, 0, 3, 2, 2, 2, 2, 0, 1, 1] vanity	-0.9	1.7	[-2, -3, -3, 0, -2, -1, 2, 2, -1, -1] verdict	0.6	0.91652	[0, 0, 0, 0, 0, 0, 0, 2, 2, 2] verdicts	0.3	1.1	[0, 0, 0, 0, 2, 2, 0, -2, 1, 0] vested	0.6	1.28062	[2, -2, 1, 3, 1, 0, 0, 1, 0, 0] vexation	-1.9	1.04403	[0, -2, -3, -3, -2, -2, -2, -3, 0, -2] vexing	-2.0	0.44721	[-2, -2, -2, -1, -2, -2, -2, -3, -2, -2] vibrant	2.4	0.8	[2, 3, 1, 1, 3, 3, 3, 2, 3, 3] vicious	-1.5	1.5	[1, -2, -3, -1, -1, -3, 1, -3, -1, -3] viciously	-1.3	1.26886	[-2, -3, -1, -2, -2, -1, -1, 2, -1, -2] viciousness	-2.4	1.35647	[-3, -1, -4, -2, -3, -3, 1, -3, -3, -3] viciousnesses	-0.6	1.62481	[0, -1, -1, -3, 0, -3, 2, 1, 1, -2] victim	-1.1	1.92094	[-1, -2, 2, -3, -3, -2, -3, 1, 2, -2] victimhood	-2.0	0.44721	[-2, -2, -2, -2, -2, -1, -3, -2, -2, -2] victimhoods	-0.9	1.37477	[-1, 0, -1, 1, -2, -1, -4, 1, -1, -1] victimise	-1.1	1.92094	[-3, -3, -2, -2, -1, 2, -2, 1, -3, 2] victimised	-1.5	1.56525	[-2, -2, -2, 1, -3, 2, -2, -3, -2, -2] victimises	-1.2	2.31517	[-3, -3, -4, 2, -2, -2, 1, 2, 1, -4] victimising	-2.5	0.67082	[-3, -1, -3, -2, -2, -3, -3, -2, -3, -3] victimization	-2.3	0.78102	[-1, -3, -3, -2, -3, -1, -3, -2, -3, -2] victimizations	-1.5	1.85742	[-2, -3, -3, -1, -2, 2, 2, -2, -3, -3] victimize	-2.5	0.67082	[-3, -2, -4, -2, -2, -2, -2, -3, -3, -2] victimized	-1.8	1.53623	[-2, -1, -3, -3, -3, 1, 1, -2, -3, -3] victimizer	-1.8	1.72047	[-3, -2, -3, -3, -2, 2, 1, -2, -3, -3] victimizers	-1.6	1.68523	[-3, -2, -3, 1, -3, -1, -2, 2, -2, -3] victimizes	-1.5	1.9105	[-2, -1, -4, -3, -2, 2, 2, -2, -3, -2] victimizing	-2.6	0.4899	[-2, -3, -3, -3, -2, -3, -2, -3, -2, -3] victimless	0.6	0.4899	[0, 1, 0, 1, 1, 0, 0, 1, 1, 1] victimologies	-0.6	1.35647	[-2, 0, -2, -1, 0, 2, 1, 0, -2, -2] victimologist	-0.5	0.67082	[0, -1, -1, 0, 0, 0, 0, -1, -2, 0] victimologists	-0.4	0.91652	[0, 1, 0, -2, -2, 0, 0, 0, -1, 0] victimology	0.3	1.00499	[0, 0, 0, -1, 0, 1, 0, 0, 3, 0] victims	-1.3	2.05183	[-3, -1, -3, -3, -3, 2, 1, -2, 2, -3] vigilant	0.7	0.9	[0, 2, 0, 2, 0, -1, 1, 1, 1, 1] vigor	1.1	1.37477	[0, 3, 2, 1, 2, 2, 0, 1, -2, 2] vigorish	-0.4	1.2	[0, -3, -1, -1, 0, -1, 0, 0, 2, 0] vigorishes	0.4	1.56205	[0, 0, 2, 1, 2, 0, -2, -2, 0, 3] vigoroso	1.5	0.67082	[2, 0, 1, 2, 2, 1, 2, 1, 2, 2] vigorously	0.5	0.92195	[0, 0, 0, 1, 2, 0, 2, -1, 1, 0] vigorousness	0.4	1.11355	[0, 3, 0, -1, -1, 0, 0, 1, 1, 1] vigors	1.0	1.0	[0, 1, 0, 1, 0, 0, 1, 3, 2, 2] vigour	0.9	0.9434	[0, 2, 2, 2, 1, 1, 0, 1, -1, 1] vigours	0.4	1.68523	[-4, 1, 1, 1, -1, 1, 2, 2, 0, 1] vile	-3.1	0.83066	[-4, -2, -4, -4, -2, -3, -3, -3, -2, -4] villain	-2.6	0.4899	[-3, -2, -2, -3, -2, -2, -3, -3, -3, -3] villainess	-2.9	0.53852	[-3, -2, -3, -4, -3, -2, -3, -3, -3, -3] villainesses	-2.0	1.18322	[-2, -3, -2, -2, -2, -3, 1, -3, -1, -3] villainies	-2.3	1.00499	[-3, -2, -3, -3, -3, -1, -3, -2, -3, 0] villainous	-2.0	0.63246	[-3, -2, -1, -2, -2, -2, -2, -1, -2, -3] villainously	-2.9	0.53852	[-3, -3, -3, -3, -3, -4, -2, -3, -2, -3] villainousness	-2.7	0.9	[-4, -3, -4, -3, -1, -3, -2, -2, -2, -3] villains	-3.4	0.91652	[-4, -3, -4, -3, -4, -3, -4, -4, -1, -4] villainy	-2.6	0.4899	[-3, -2, -3, -3, -2, -2, -2, -3, -3, -3] vindicate	0.3	1.95192	[2, -1, -2, -3, -1, 3, 0, 3, 1, 1] vindicated	1.8	1.16619	[1, 3, -1, 2, 2, 1, 3, 2, 2, 3] vindicates	1.6	0.66332	[2, 3, 2, 2, 2, 1, 1, 1, 1, 1] vindicating	-1.1	1.97231	[-3, -2, 2, -3, -2, 1, 1, 1, -3, -3] violate	-2.2	0.6	[-3, -3, -2, -3, -2, -2, -1, -2, -2, -2] violated	-2.4	0.66332	[-3, -3, -3, -3, -2, -3, -1, -2, -2, -2] violater	-2.6	0.91652	[-3, -3, -4, -4, -2, -3, -2, -2, -2, -1] violaters	-2.4	0.8	[-1, -3, -1, -2, -3, -3, -3, -2, -3, -3] violates	-2.3	0.9	[-3, -2, -4, -3, -2, -3, -2, -2, -1, -1] violating	-2.5	0.92195	[-2, -3, -3, -1, -3, -2, -4, -1, -3, -3] violation	-2.2	0.9798	[-3, -1, -1, -3, -3, -2, -1, -2, -2, -4] violations	-2.4	0.66332	[-2, -2, -2, -3, -2, -4, -2, -2, -2, -3] violative	-2.4	0.66332	[-2, -3, -3, -3, -1, -3, -2, -2, -2, -3] violator	-2.4	1.0198	[-1, -4, -3, -2, -3, -2, -2, -1, -4, -2] violators	-1.9	1.51327	[-2, 2, -3, -4, -1, -2, -3, -2, -2, -2] violence	-3.1	0.53852	[-2, -3, -3, -3, -3, -4, -4, -3, -3, -3] violent	-2.9	0.53852	[-3, -3, -3, -3, -3, -4, -3, -2, -2, -3] violently	-2.8	0.74833	[-3, -3, -2, -3, -3, -3, -4, -1, -3, -3] virtue	1.8	0.74833	[1, 2, 3, 2, 2, 2, 3, 1, 1, 1] virtueless	-1.4	1.0198	[-2, 0, -2, -3, -1, -3, -1, -1, -1, 0] virtues	1.5	0.80623	[2, 2, 2, 1, 0, 1, 3, 1, 2, 1] virtuosa	1.7	1.48661	[0, 4, 2, 3, 2, 3, 0, 2, -1, 2] virtuosas	1.8	0.87178	[2, 3, 1, 2, 1, 0, 3, 2, 2, 2] virtuose	1.0	1.41421	[2, 1, 0, 2, 1, -1, 1, 1, -1, 4] virtuosi	0.9	1.37477	[2, 0, 0, 2, 1, 0, 0, 1, -1, 4] virtuosic	2.2	1.07703	[2, 2, 4, 1, 0, 3, 3, 2, 2, 3] virtuosity	2.1	0.83066	[3, 3, 3, 2, 1, 3, 2, 2, 1, 1] virtuoso	2.0	1.0	[2, 2, 3, 2, 1, 0, 3, 3, 3, 1] virtuosos	1.8	1.16619	[2, 3, 1, -1, 2, 1, 3, 3, 2, 2] virtuous	2.4	1.2	[0, 3, 2, 1, 3, 4, 2, 2, 4, 3] virtuously	1.8	1.16619	[3, 2, 3, 1, 3, 1, -1, 2, 2, 2] virtuousness	2.0	1.09545	[3, 4, 2, 2, 0, 1, 2, 3, 2, 1] virulent	-2.7	0.64031	[-3, -2, -4, -2, -3, -3, -2, -3, -2, -3] vision	1.0	1.0	[0, 0, 0, 2, 1, 3, 2, 1, 1, 0] visionary	2.4	1.0198	[1, 3, 1, 2, 4, 1, 3, 3, 3, 3] visioning	1.1	0.9434	[1, 2, 0, 0, 3, 0, 1, 1, 2, 1] visions	0.9	0.9434	[2, 0, 0, 0, 0, 1, 2, 2, 0, 2] vital	1.2	1.46969	[-3, 2, 1, 1, 2, 2, 1, 2, 2, 2] vitalise	1.1	0.9434	[1, 2, 0, 2, 2, 0, 2, 0, 2, 0] vitalised	0.6	1.49666	[1, -2, 2, 0, 2, 1, -2, 2, 0, 2] vitalises	1.1	1.3	[1, 2, 2, 0, 2, 2, -2, 2, 0, 2] vitalising	2.1	0.53852	[2, 2, 3, 2, 3, 2, 2, 1, 2, 2] vitalism	0.2	0.6	[0, 0, 0, 0, 0, 0, 0, 0, 2, 0] vitalist	0.3	0.64031	[0, 0, 0, 0, 0, 0, 1, 0, 2, 0] vitalists	0.3	1.34536	[2, -3, 1, 0, 0, 0, 1, 0, 2, 0] vitalities	1.2	0.87178	[2, 1, 3, 1, 1, 0, 2, 1, 0, 1] vitality	1.3	0.9	[3, 2, 0, 1, 1, 1, 2, 0, 2, 1] vitalization	1.6	0.91652	[2, 3, 3, 1, 2, 1, 0, 2, 1, 1] vitalizations	0.8	0.74833	[0, 1, 1, 2, 0, 0, 0, 2, 1, 1] vitalize	1.6	0.66332	[3, 2, 2, 1, 2, 1, 1, 1, 2, 1] vitalized	1.5	0.67082	[1, 1, 2, 2, 0, 2, 1, 2, 2, 2] vitalizes	1.4	0.4899	[2, 1, 1, 2, 1, 2, 1, 2, 1, 1] vitalizing	1.3	0.9	[3, 1, 0, 0, 1, 1, 2, 2, 2, 1] vitally	1.1	0.53852	[0, 2, 1, 1, 1, 1, 2, 1, 1, 1] vitals	1.1	0.7	[1, 0, 1, 2, 2, 0, 2, 1, 1, 1] vitamin	1.2	0.87178	[3, 1, 0, 0, 1, 2, 1, 2, 1, 1] vitriolic	-2.1	0.83066	[-2, -2, -2, -4, -3, -2, -1, -1, -2, -2] vivacious	1.8	0.9798	[0, 1, 3, 3, 3, 2, 2, 2, 1, 1] vociferous	-0.8	0.9798	[1, -2, -1, -2, -1, -1, 1, -1, -1, -1] vulnerabilities	-0.6	1.49666	[0, -3, -1, -1, -1, 2, -2, 2, -1, -1] vulnerability	-0.9	1.75784	[1, -1, -1, -2, 1, -3, -1, 2, -4, -1] vulnerable	-0.9	1.37477	[-2, -2, 2, -1, -3, -1, 1, -1, -1, -1] vulnerableness	-1.1	1.04403	[-1, -1, -2, -3, -1, 1, 0, -2, -1, -1] vulnerably	-1.2	1.46969	[-2, -2, 2, -1, -2, -3, 1, -1, -2, -2] vulture	-2.0	0.89443	[-2, -3, -1, -2, -1, -1, -1, -3, -3, -3] vultures	-1.3	1.55242	[-2, -3, -2, 2, -2, -2, -3, -1, -1, 1] w00t	2.2	1.32665	[3, 2, 3, 2, 0, 4, 0, 4, 2, 2] walkout	-1.3	0.9	[-1, -2, -2, -1, -1, -2, -1, 1, -2, -2] walkouts	-0.7	1.00499	[-2, -2, -1, 0, -1, -1, -1, 1, -1, 1] wanker	-2.5	0.67082	[-2, -3, -3, -2, -3, -3, -2, -1, -3, -3] want	0.3	1.18743	[0, -2, 0, 1, 2, -1, 2, 1, 0, 0] war	-2.9	1.13578	[-1, -3, -4, -4, -3, -1, -2, -3, -4, -4] warfare	-1.2	1.16619	[-2, 0, -1, -2, 0, -3, 1, -2, -2, -1] warfares	-1.8	0.87178	[-2, -1, -2, -2, -3, -1, -3, 0, -2, -2] warm	0.9	0.7	[1, 0, 0, 1, 1, 2, 1, 2, 1, 0] warmblooded	0.2	0.6	[0, 0, 2, 0, 0, 0, 0, 0, 0, 0] warmed	1.1	0.53852	[2, 0, 1, 1, 1, 2, 1, 1, 1, 1] warmer	1.2	0.9798	[2, 2, 2, 1, -1, 0, 2, 1, 1, 2] warmers	1.0	0.44721	[1, 1, 1, 2, 1, 1, 1, 0, 1, 1] warmest	1.7	1.34536	[3, 2, 1, 2, 3, 2, 2, 2, -2, 2] warmhearted	1.8	0.6	[3, 2, 2, 2, 2, 1, 2, 1, 1, 2] warmheartedness	2.7	0.64031	[2, 4, 3, 2, 3, 3, 3, 2, 2, 3] warming	0.6	0.8	[0, 0, 2, 2, 1, 1, 0, 0, 0, 0] warmish	1.4	0.66332	[1, 3, 2, 1, 1, 1, 1, 2, 1, 1] warmly	1.7	0.64031	[2, 1, 2, 1, 2, 1, 2, 1, 2, 3] warmness	1.5	0.92195	[3, 1, 2, 1, 0, 1, 3, 2, 1, 1] warmonger	-2.9	1.13578	[-3, 0, -4, -4, -2, -3, -4, -3, -3, -3] warmongering	-2.5	0.67082	[-2, -3, -3, -1, -2, -3, -3, -2, -3, -3] warmongers	-2.8	0.87178	[-2, -3, -4, -4, -3, -1, -2, -3, -3, -3] warmouth	0.4	0.66332	[0, 0, 2, 0, 0, 0, 0, 1, 1, 0] warmouths	-0.8	1.32665	[-1, -1, -2, -1, -2, -2, 0, 2, 1, -2] warms	1.1	0.7	[2, 2, 1, 2, 1, 0, 1, 1, 0, 1] warmth	2.0	0.44721	[2, 2, 2, 2, 1, 2, 2, 3, 2, 2] warmup	0.4	0.66332	[0, 2, 0, 1, 1, 0, 0, 0, 0, 0] warmups	0.8	0.9798	[0, 2, 0, 0, 0, 2, 2, 0, 2, 0] warn	-0.4	1.35647	[0, -1, 0, -2, -1, 2, 1, -2, 1, -2] warned	-1.1	0.53852	[-1, -1, -2, 0, -1, -1, -1, -2, -1, -1] warning	-1.4	1.0198	[-2, -1, -1, -1, -2, 0, -4, -1, -1, -1] warnings	-1.2	0.9798	[-2, -1, 0, -1, -2, 0, 0, -1, -3, -2] warns	-0.4	1.0198	[1, -1, -1, 1, -1, -1, -2, 1, 0, -1] warred	-2.4	0.8	[-2, -2, -4, -1, -3, -2, -3, -2, -3, -2] warring	-1.9	1.04403	[-3, -3, 0, -1, -2, -2, -3, -1, -1, -3] wars	-2.6	0.8	[-2, -3, -1, -3, -2, -4, -3, -3, -2, -3] warsaw	-0.1	0.3	[0, -1, 0, 0, 0, 0, 0, 0, 0, 0] warsaws	-0.2	0.4	[0, 0, 0, -1, 0, 0, 0, 0, -1, 0] warship	-0.7	0.9	[0, 0, 0, 0, 0, -2, -1, 0, -2, -2] warships	-0.5	0.80623	[0, -1, 0, 0, -2, 0, 0, -2, 0, 0] warstle	0.1	0.7	[0, 0, 0, 0, 0, 0, 0, 0, 2, -1] waste	-1.8	0.9798	[-2, -2, -1, -3, -2, -1, -1, -4, -1, -1] wasted	-2.2	0.6	[-2, -3, -2, -3, -1, -3, -2, -2, -2, -2] wasting	-1.7	0.9	[-3, -1, -2, -2, -1, -2, -3, 0, -1, -2] wavering	-0.6	1.0198	[-1, -1, 0, 0, -1, -1, -1, 2, -1, -2] weak	-1.9	0.7	[-1, -3, -2, -2, -3, -2, -2, -1, -2, -1] weaken	-1.8	0.6	[-2, -2, -2, -1, -1, -3, -2, -2, -1, -2] weakened	-1.3	0.9	[-2, -1, -1, -1, -1, -2, -2, -2, 1, -2] weakener	-1.6	1.11355	[-2, -1, -1, -1, -2, -2, -3, -3, 1, -2] weakeners	-1.3	0.45826	[-1, -2, -1, -2, -1, -1, -2, -1, -1, -1] weakening	-1.3	0.45826	[-2, -1, -1, -1, -1, -1, -1, -2, -2, -1] weakens	-1.3	0.45826	[-1, -1, -1, -1, -1, -2, -1, -2, -1, -2] weaker	-1.9	0.83066	[-2, -2, -2, -2, -2, -1, -4, -1, -1, -2] weakest	-2.3	0.64031	[-2, -4, -2, -3, -2, -2, -2, -2, -2, -2] weakfish	-0.2	1.07703	[0, -2, 0, 0, 0, 0, -2, 0, 2, 0] weakfishes	-0.6	0.8	[0, -1, 0, -2, 0, 0, -1, 0, -2, 0] weakhearted	-1.6	0.8	[-1, -3, -1, -1, -2, -1, -3, -2, -1, -1] weakish	-1.2	0.4	[-1, -2, -1, -1, -1, -1, -2, -1, -1, -1] weaklier	-1.5	0.67082	[-1, -2, -1, -3, -2, -1, -1, -2, -1, -1] weakliest	-2.1	0.83066	[-2, -2, -2, -2, -3, -1, -2, -1, -4, -2] weakling	-1.3	1.00499	[-1, -2, -1, -3, -2, -2, -1, -1, 1, -1] weaklings	-1.4	0.66332	[-2, -1, -1, -1, -1, -2, -2, 0, -2, -2] weakly	-1.8	0.87178	[-2, -2, -2, -2, -4, -1, -1, -1, -1, -2] weakness	-1.8	0.6	[-2, -2, -2, -1, -1, -2, -1, -3, -2, -2] weaknesses	-1.5	0.5	[-2, -2, -1, -1, -2, -1, -1, -2, -1, -2] weakside	-1.1	1.37477	[-3, -2, -3, -1, -2, -1, 1, 1, -1, 0] wealth	2.2	0.4	[2, 3, 2, 2, 2, 3, 2, 2, 2, 2] wealthier	2.2	0.6	[3, 2, 1, 3, 2, 2, 2, 3, 2, 2] wealthiest	2.2	0.9798	[2, 4, 4, 1, 2, 1, 2, 2, 2, 2] wealthily	2.0	0.89443	[2, 3, 1, 4, 2, 1, 1, 2, 2, 2] wealthiness	2.4	1.11355	[2, 4, 2, 4, 1, 2, 4, 1, 2, 2] wealthy	1.5	1.0247	[1, 2, 1, 4, 1, 0, 2, 1, 2, 1] weapon	-1.2	0.87178	[0, -2, -2, -1, 0, -2, -1, -2, 0, -2] weaponed	-1.4	0.91652	[-2, -2, -3, -1, -1, 0, 0, -2, -1, -2] weaponless	0.1	1.13578	[2, -1, 0, 0, -1, 1, -1, 0, 2, -1] weaponry	-0.9	0.7	[-2, -2, 0, -1, 0, -1, -1, -1, 0, -1] weapons	-1.9	0.9434	[-2, -1, -2, -2, -1, -3, -3, -3, -2, 0] weary	-1.1	1.13578	[-2, -1, -2, -3, 0, -1, -1, -2, 0, 1] weep	-2.7	0.9	[-2, -4, -4, -3, -3, -3, -3, -2, -1, -2] weeper	-1.9	0.53852	[-2, -2, -2, -3, -1, -1, -2, -2, -2, -2] weepers	-1.1	1.13578	[-2, -2, -1, -2, -1, 1, -2, 1, -1, -2] weepie	-0.4	0.91652	[0, 1, -1, 0, -1, -2, 0, -1, -1, 1] weepier	-1.8	0.87178	[-3, -3, -2, -1, -2, -2, -2, 0, -1, -2] weepies	-1.6	0.8	[-2, -3, -2, -1, -1, -2, -2, 0, -1, -2] weepiest	-2.4	0.91652	[-4, -2, -2, -2, -2, -1, -2, -2, -4, -3] weeping	-1.9	0.9434	[-2, -2, -1, -1, -1, -1, -4, -2, -2, -3] weepings	-1.9	0.9434	[-2, -2, -3, 0, -1, -2, -2, -3, -1, -3] weeps	-1.4	1.35647	[-2, -3, -1, -2, -1, -3, 1, -2, 1, -2] weepy	-1.3	1.55242	[-2, -3, -1, -2, 2, -3, -1, -2, 1, -2] weird	-0.7	0.64031	[-1, 0, 0, -1, -1, -1, 0, 0, -2, -1] weirder	-0.5	0.80623	[1, -1, -1, -1, -1, 1, -1, -1, 0, -1] weirdest	-0.9	1.22066	[-2, 0, -2, -1, -1, -1, -3, 1, 1, -1] weirdie	-1.3	0.45826	[-1, -2, -1, -2, -1, -1, -2, -1, -1, -1] weirdies	-1.0	0.63246	[0, -1, -1, -1, -1, 0, -2, -2, -1, -1] weirdly	-1.2	0.74833	[0, -1, -1, -2, -3, -1, -1, -1, -1, -1] weirdness	-0.9	1.64012	[-3, -2, -1, -1, 2, -1, 1, -3, 1, -2] weirdnesses	-0.7	1.00499	[-1, -2, 0, -1, -2, 1, -1, -1, -1, 1] weirdo	-1.8	0.6	[-2, -2, -2, -2, -2, -2, -1, -1, -3, -1] weirdoes	-1.3	0.64031	[-2, -1, -2, -1, -1, -2, -1, 0, -1, -2] weirdos	-1.1	0.9434	[-1, -1, -1, -2, 1, -3, -1, -1, -1, -1] weirds	-0.6	0.4899	[-1, -1, -1, 0, -1, 0, 0, -1, 0, -1] weirdy	-0.9	0.83066	[-1, -1, 0, 0, -1, 0, -2, -2, 0, -2] welcome	2.0	0.63246	[1, 3, 2, 1, 2, 2, 2, 2, 3, 2] welcomed	1.4	0.4899	[1, 1, 2, 2, 1, 2, 1, 2, 1, 1] welcomely	1.9	0.53852	[2, 2, 2, 2, 1, 3, 2, 1, 2, 2] welcomeness	2.0	0.89443	[2, 3, 1, 2, 3, 0, 2, 3, 2, 2] welcomer	1.4	0.4899	[1, 1, 2, 2, 2, 2, 1, 1, 1, 1] welcomers	1.9	0.7	[2, 2, 3, 2, 2, 1, 1, 3, 1, 2] welcomes	1.7	0.78102	[1, 1, 2, 2, 3, 3, 1, 2, 1, 1] welcoming	1.9	0.7	[2, 2, 1, 1, 2, 2, 2, 3, 3, 1] well	1.1	1.04403	[0, 0, 2, 0, 2, 0, 1, 1, 3, 2] welladay	0.3	1.18743	[2, -2, 0, 0, -1, 1, 0, 1, 2, 0] wellaway	-0.8	1.98997	[3, -2, -3, -3, -1, -2, 1, -2, -1, 2] wellborn	1.8	0.74833	[2, 1, 2, 1, 2, 2, 1, 3, 1, 3] welldoer	2.5	0.67082	[2, 2, 2, 3, 2, 3, 4, 3, 2, 2] welldoers	1.6	0.8	[3, 1, 1, 0, 2, 1, 2, 2, 2, 2] welled	0.4	0.8	[0, 0, 2, 0, 0, 0, 0, 0, 2, 0] wellhead	0.1	0.3	[0, 0, 1, 0, 0, 0, 0, 0, 0, 0] wellheads	0.5	0.92195	[0, 2, 0, 2, -1, 0, 1, 1, 0, 0] wellhole	-0.1	0.3	[0, 0, 0, -1, 0, 0, 0, 0, 0, 0] wellies	0.4	0.4899	[0, 1, 0, 0, 0, 1, 0, 0, 1, 1] welling	1.6	0.8	[2, 0, 1, 2, 2, 1, 3, 2, 2, 1] wellness	1.9	0.9434	[1, 2, 2, 1, 2, 1, 1, 3, 4, 2] wells	1.0	1.0	[2, 0, 3, 0, 1, 0, 2, 1, 1, 0] wellsite	0.5	0.67082	[0, 0, 1, 2, 0, 0, 0, 0, 1, 1] wellspring	1.5	0.92195	[3, 1, 1, 1, 0, 2, 2, 3, 1, 1] wellsprings	1.4	0.8	[1, 0, 0, 2, 2, 2, 1, 2, 2, 2] welly	0.2	0.4	[0, 0, 0, 1, 0, 1, 0, 0, 0, 0] wept	-2.0	1.09545	[-3, -2, -3, -3, -1, -3, 0, -1, -1, -3] whimsical	0.3	1.61555	[2, 1, 1, 2, -1, 1, -3, -2, 1, 1] whine	-1.5	1.11803	[-1, -4, -1, -1, -1, -3, 0, -2, -1, -1] whined	-0.9	1.04403	[-2, -1, -2, -1, -1, -1, -2, 1, 1, -1] whiner	-1.2	0.4	[-1, -2, -1, -1, -1, -2, -1, -1, -1, -1] whiners	-0.6	1.95959	[-2, 0, -2, -2, 4, 1, 1, -2, -2, -2] whines	-1.8	0.6	[-2, -2, -2, -1, -2, -2, -3, -1, -2, -1] whiney	-1.3	0.45826	[-1, -2, -1, -1, -1, -2, -2, -1, -1, -1] whining	-0.9	1.51327	[-3, 0, -1, -1, -3, -1, 1, 2, -2, -1] whitewash	0.1	0.7	[-1, 0, 1, -1, 0, 0, 0, 1, 1, 0] whore	-3.3	0.64031	[-4, -4, -3, -2, -3, -4, -3, -3, -4, -3] whored	-2.8	0.87178	[-2, -3, -4, -2, -2, -3, -4, -4, -2, -2] whoredom	-2.1	2.02237	[-4, -2, -4, -3, -3, -3, -4, -1, 2, 1] whoredoms	-2.4	1.11355	[-1, -3, 0, -3, -2, -3, -3, -4, -2, -3] whorehouse	-1.1	2.11896	[-2, -2, -2, 3, 3, -3, -3, -2, -1, -2] whorehouses	-1.9	1.92094	[-4, -3, -4, -3, 0, 0, -3, 2, -1, -3] whoremaster	-1.9	1.22066	[-1, -3, -3, -2, -1, -3, 0, 0, -3, -3] whoremasters	-1.5	1.85742	[-3, -1, -1, -4, -2, 2, -1, 1, -2, -4] whoremonger	-2.6	0.91652	[-3, -1, -3, -3, -3, -3, -3, -1, -4, -2] whoremongers	-2.0	1.78885	[-4, -3, 0, -3, -3, -3, -3, 1, 1, -3] whores	-3.0	1.0	[-3, -3, -4, -2, -1, -3, -4, -4, -2, -4] whoreson	-2.2	1.46969	[-2, -3, -4, -4, -3, -1, -1, 1, -3, -2] whoresons	-2.5	1.20416	[-3, -3, -2, -2, 0, -4, -3, -1, -3, -4] wicked	-2.4	0.8	[-3, -4, -3, -3, -2, -2, -2, -1, -2, -2] wickeder	-2.2	1.32665	[-2, -3, -1, -4, 1, -3, -3, -3, -2, -2] wickedest	-2.9	1.04403	[-3, -1, -3, -3, -3, -3, -1, -4, -4, -4] wickedly	-2.1	0.83066	[-2, -2, -1, -3, -2, -3, -1, -3, -1, -3] wickedness	-2.1	0.83066	[-2, -1, -2, -2, -3, -1, -2, -4, -2, -2] wickednesses	-2.2	1.16619	[-1, -2, -4, -2, -3, -1, -3, -4, -1, -1] widowed	-2.1	1.22066	[0, -4, -2, -4, -3, -2, -2, -2, -1, -1] willingness	1.1	0.7	[0, 2, 1, 1, 2, 2, 1, 0, 1, 1] wimp	-1.4	1.28062	[-2, -3, -1, -2, -1, -2, -2, -1, 2, -2] wimpier	-1.0	1.18322	[-1, -2, -2, -1, -2, 0, 1, -2, 1, -2] wimpiest	-0.9	1.22066	[-3, -1, -2, -1, -2, -1, 1, 1, 0, -1] wimpiness	-1.2	0.9798	[1, -1, -3, -1, -2, -1, -1, -1, -2, -1] wimpish	-1.6	0.4899	[-2, -1, -2, -1, -2, -2, -1, -2, -2, -1] wimpishness	-0.2	1.249	[-3, -1, 0, -1, -1, 1, 1, 1, 1, 0] wimple	-0.2	0.74833	[0, -1, 0, 0, 0, 0, -2, 0, 0, 1] wimples	-0.3	0.78102	[-2, 0, 0, 0, 0, -1, 0, -1, 1, 0] wimps	-1.0	1.18322	[-2, -2, -1, -1, 0, -2, -2, 1, -2, 1] wimpy	-0.9	1.04403	[-2, -1, -1, -1, -1, -2, -1, 1, -2, 1] win	2.8	0.87178	[3, 2, 4, 3, 2, 4, 3, 1, 3, 3] winnable	1.8	0.6	[3, 2, 2, 2, 2, 1, 1, 1, 2, 2] winned	1.8	0.6	[2, 2, 2, 2, 1, 2, 1, 1, 3, 2] winner	2.8	0.87178	[2, 2, 2, 3, 4, 2, 3, 4, 2, 4] winners	2.1	1.44568	[3, 3, 2, 3, 3, 2, 2, -2, 3, 2] winning	2.4	0.4899	[2, 3, 3, 2, 2, 2, 3, 3, 2, 2] winningly	2.3	1.48661	[1, 3, 4, 3, 3, 1, 2, 3, -1, 4] winnings	2.5	0.92195	[3, 4, 3, 2, 2, 3, 1, 1, 3, 3] winnow	-0.3	1.00499	[0, -1, 0, -2, 1, 1, -2, 0, 0, 0] winnower	-0.1	0.3	[0, 0, 0, 0, 0, -1, 0, 0, 0, 0] winnowers	-0.2	0.6	[0, 0, 0, 0, 0, 0, 0, 0, -2, 0] winnowing	-0.1	0.53852	[0, 0, -1, 0, 0, 0, 0, 1, -1, 0] winnows	-0.2	0.4	[0, 0, -1, -1, 0, 0, 0, 0, 0, 0] wins	2.7	0.78102	[2, 2, 3, 3, 4, 4, 3, 2, 2, 2] wisdom	2.4	0.66332	[2, 3, 4, 2, 3, 2, 2, 2, 2, 2] wise	2.1	0.83066	[2, 3, 1, 4, 2, 2, 1, 2, 2, 2] wiseacre	-1.2	1.16619	[-2, -1, -2, -2, -2, -1, -2, 1, 1, -2] wiseacres	-0.1	0.9434	[-2, 1, 0, -1, 0, 1, 1, -1, 0, 0] wiseass	-1.8	0.6	[-2, -2, -1, -1, -2, -2, -3, -2, -1, -2] wiseasses	-1.5	1.36015	[-1, -2, 2, -2, -1, -3, -2, -3, -1, -2] wisecrack	-0.1	1.22066	[-1, -1, -1, -2, 2, 1, -1, 1, 1, 0] wisecracked	-0.5	0.92195	[1, 1, -1, -1, 0, -1, -2, 0, -1, -1] wisecracker	-0.1	0.7	[-1, 1, -1, -1, 0, 0, 0, 0, 1, 0] wisecrackers	0.1	1.04403	[-1, 0, 1, 1, 0, 2, 1, -1, -1, -1] wisecracking	-0.6	0.4899	[0, 0, -1, 0, -1, 0, -1, -1, -1, -1] wisecracks	-0.3	1.55242	[1, 2, -1, 2, -3, 0, 0, -2, -1, -1] wised	1.5	0.67082	[2, 2, 2, 1, 1, 2, 0, 1, 2, 2] wiseguys	0.3	1.9	[4, -1, 1, -1, 1, 2, 2, -2, -2, -1] wiselier	0.9	1.3	[1, 2, 2, -2, 0, 1, 3, 1, 0, 1] wiseliest	1.6	1.49666	[1, 4, 2, 2, 1, 2, 2, 3, -2, 1] wisely	1.8	0.6	[1, 2, 3, 2, 1, 2, 2, 1, 2, 2] wiseness	1.9	0.7	[2, 3, 2, 2, 3, 1, 1, 1, 2, 2] wisenheimer	-1.0	1.18322	[-1, 1, -1, -1, -1, 0, -1, -3, 0, -3] wisenheimers	-1.4	0.91652	[-3, -3, -2, -1, -1, -1, 0, -1, -1, -1] wisents	0.4	0.91652	[0, 0, 0, 0, 1, 0, 0, 0, 3, 0] wiser	1.2	0.87178	[1, 3, 0, 1, 1, 2, 0, 2, 1, 1] wises	1.3	1.48661	[3, 3, 2, -2, 2, 0, 0, 2, 2, 1] wisest	2.1	1.51327	[1, 3, 3, 3, 3, 2, 2, 3, -2, 3] wisewomen	1.3	0.9	[2, 2, 0, 0, 2, 0, 1, 2, 2, 2] wish	1.7	1.1	[2, 1, 1, 0, 2, 1, 3, 2, 4, 1] wishes	0.6	0.8	[0, 0, 1, 0, 1, 0, 2, 0, 2, 0] wishing	0.9	0.7	[2, 1, 1, 0, 0, 0, 1, 1, 2, 1] witch	-1.5	0.80623	[-1, -2, -2, -1, -3, 0, -2, -2, -1, -1] withdrawal	0.1	1.57797	[1, -1, 0, -2, -2, 2, -1, 1, 0, 3] woe	-1.8	0.6	[-3, -2, -2, -2, -1, -1, -2, -1, -2, -2] woebegone	-2.6	0.66332	[-3, -2, -3, -2, -2, -4, -3, -2, -2, -3] woebegoneness	-1.1	1.37477	[-3, 0, -1, 1, -1, -4, 0, -1, -1, -1] woeful	-1.9	0.83066	[-1, -2, -2, -1, -3, -3, -1, -2, -1, -3] woefully	-1.7	1.48661	[-1, -3, -2, 1, -3, -3, -2, -2, 1, -3] woefulness	-2.1	0.7	[-3, -2, -2, -1, -2, -3, -3, -1, -2, -2] woes	-1.9	0.83066	[-2, -2, -2, -1, -2, -3, -3, 0, -2, -2] woesome	-1.2	1.6	[-2, -3, -2, -1, 0, 3, -2, -2, -1, -2] won	2.7	0.9	[3, 4, 2, 2, 2, 4, 4, 2, 2, 2] wonderful	2.7	0.78102	[2, 3, 3, 2, 4, 2, 2, 3, 4, 2] wonderfully	2.9	0.83066	[1, 3, 3, 4, 3, 2, 3, 3, 4, 3] wonderfulness	2.9	0.53852	[3, 2, 3, 3, 3, 3, 3, 2, 4, 3] woo	2.1	1.37477	[4, 2, 1, 3, 2, 2, -1, 2, 2, 4] woohoo	2.3	1.1	[3, 3, 1, 4, 4, 2, 1, 1, 2, 2] woot	1.8	1.07703	[2, 0, 2, 2, 2, 2, 0, 4, 2, 2] worn	-1.2	0.4	[-1, -1, -1, -1, -1, -1, -2, -1, -2, -1] worried	-1.2	0.74833	[-1, -1, -1, -1, -1, -2, -3, 0, -1, -1] worriedly	-2.0	0.44721	[-2, -2, -3, -2, -2, -2, -2, -1, -2, -2] worrier	-1.8	0.6	[-2, -2, -1, -2, -1, -3, -2, -2, -1, -2] worriers	-1.7	0.45826	[-2, -1, -2, -2, -2, -2, -1, -2, -1, -2] worries	-1.8	0.6	[-2, -2, -1, -2, -1, -2, -2, -3, -1, -2] worriment	-1.5	0.67082	[-1, -2, -1, -1, -1, -2, -1, -3, -1, -2] worriments	-1.9	0.7	[-2, -1, -2, -3, -1, -2, -3, -1, -2, -2] worrisome	-1.7	0.64031	[-1, -1, -1, -2, -1, -2, -3, -2, -2, -2] worrisomely	-2.0	0.63246	[-1, -2, -1, -2, -2, -3, -2, -2, -3, -2] worrisomeness	-1.9	0.53852	[-2, -2, -3, -1, -2, -2, -2, -1, -2, -2] worrit	-2.1	0.53852	[-2, -2, -1, -2, -2, -3, -3, -2, -2, -2] worrits	-1.2	0.9798	[-1, -2, -2, -1, 0, 0, -1, -3, 0, -2] worry	-1.9	0.7	[-2, -3, -1, -3, -1, -2, -1, -2, -2, -2] worrying	-1.4	0.66332	[-2, -1, -2, -2, -1, 0, -1, -1, -2, -2] worrywart	-1.8	0.9798	[-2, -2, -2, -1, -1, -1, -1, -3, -1, -4] worrywarts	-1.5	0.5	[-2, -1, -2, -2, -2, -1, -1, -1, -2, -1] worse	-2.1	0.83066	[-2, -2, -1, -3, -4, -2, -1, -2, -2, -2] worsen	-2.3	0.78102	[-4, -3, -1, -2, -2, -2, -2, -3, -2, -2] worsened	-1.9	1.22066	[-2, -2, -2, -1, -2, -2, -4, 1, -3, -2] worsening	-2.0	0.44721	[-2, -3, -2, -2, -2, -2, -1, -2, -2, -2] worsens	-2.1	0.53852	[-2, -2, -2, -2, -1, -2, -2, -3, -3, -2] worser	-2.0	0.89443	[-2, -2, -4, -1, -2, -2, -2, -3, -1, -1] worship	1.2	1.07703	[1, 0, 0, 1, 3, 0, 2, 3, 1, 1] worshiped	2.4	1.0198	[1, 2, 4, 3, 4, 1, 2, 3, 2, 2] worshiper	1.0	1.0	[0, 0, 2, 3, 0, 2, 1, 1, 1, 0] worshipers	0.9	0.83066	[0, 0, 0, 2, 1, 1, 1, 2, 2, 0] worshipful	0.7	1.00499	[1, -1, 3, 1, 1, 1, 0, 0, 0, 1] worshipfully	1.1	1.3	[0, 0, 0, 1, 3, 0, 3, 3, 1, 0] worshipfulness	1.6	0.8	[3, 1, 2, 2, 1, 1, 3, 1, 1, 1] worshiping	1.0	1.18322	[0, 3, 0, 3, 0, 1, 1, 2, 0, 0] worshipless	-0.6	1.0198	[0, -1, -3, -1, -1, -1, 0, 0, 0, 1] worshipped	2.7	0.78102	[3, 2, 3, 3, 1, 4, 2, 3, 3, 3] worshipper	0.6	0.66332	[1, 1, 0, 0, 1, 0, 0, 2, 1, 0] worshippers	0.8	0.87178	[0, 1, 0, 0, 3, 1, 1, 1, 0, 1] worshipping	1.6	1.28062	[1, 3, 3, 3, 0, 3, 1, 0, 2, 0] worships	1.4	1.11355	[2, 0, 1, 3, 2, 1, 0, 3, 2, 0] worst	-3.1	1.04403	[-4, -4, -3, -1, -3, -4, -2, -2, -4, -4] worth	0.9	0.9434	[0, 0, 1, 1, 2, 1, 1, 3, 0, 0] worthless	-1.9	1.13578	[-3, -1, -3, -4, -1, -3, -1, -1, -1, -1] worthwhile	1.4	0.4899	[1, 1, 1, 2, 1, 1, 2, 1, 2, 2] worthy	1.9	0.53852	[2, 2, 2, 1, 1, 2, 2, 2, 3, 2] wow	2.8	0.9798	[2, 3, 2, 4, 4, 3, 3, 2, 1, 4] wowed	2.6	0.8	[3, 3, 4, 3, 2, 1, 3, 3, 2, 2] wowing	2.5	0.67082	[2, 2, 3, 3, 2, 3, 4, 2, 2, 2] wows	2.0	1.61245	[2, 3, 3, 3, 2, 1, -2, 1, 4, 3] wowser	-1.1	2.02237	[-3, 3, 0, 2, -2, -1, -3, -2, -2, -3] wowsers	1.0	2.14476	[0, -2, 4, 2, 3, 0, 1, 2, -3, 3] wrathful	-2.7	0.64031	[-3, -2, -2, -3, -3, -2, -4, -2, -3, -3] wreck	-1.9	0.7	[-1, -2, -3, -3, -2, -2, -2, -1, -1, -2] wrong	-2.1	1.04403	[-2, -2, -2, -2, -4, -4, -1, -1, -1, -2] wronged	-1.9	0.53852	[-2, -2, -2, -2, -2, -1, -3, -2, -2, -1] x-d	2.6	0.91652	[2, 3, 3, 4, 1, 2, 3, 4, 2, 2] x-p	1.7	0.45826	[2, 2, 1, 2, 2, 1, 1, 2, 2, 2] xd	2.8	0.87178	[3, 3, 4, 2, 3, 3, 1, 2, 4, 3] xp	1.6	0.4899	[2, 2, 2, 1, 1, 1, 2, 2, 1, 2] yay	2.4	1.0198	[1, 3, 3, 2, 2, 1, 4, 4, 2, 2] yeah	1.2	0.6	[1, 1, 1, 2, 1, 1, 0, 2, 1, 2] yearning	0.5	1.0247	[0, 1, 0, 1, 0, 3, 0, 1, -1, 0] yeees	1.7	1.00499	[1, 3, 1, 2, 1, 1, 4, 2, 1, 1] yep	1.2	0.4	[1, 1, 1, 1, 1, 1, 2, 2, 1, 1] yes	1.7	0.78102	[1, 2, 2, 1, 1, 1, 3, 3, 1, 2] youthful	1.3	0.45826	[1, 2, 1, 2, 1, 1, 1, 1, 2, 1] yucky	-1.8	0.6	[-2, -1, -1, -2, -2, -1, -2, -2, -3, -2] yummy	2.4	1.0198	[1, 2, 4, 3, 2, 2, 3, 1, 4, 2] zealot	-1.9	1.04403	[-2, -3, -1, -2, -1, -3, -4, -1, -1, -1] zealots	-0.8	1.83303	[-1, -2, -1, -2, -2, 1, -2, 4, -1, -2] zealous	0.5	1.43178	[2, -1, 2, 1, 0, 0, 3, 0, -2, 0] {:	1.8	0.9798	[1, 3, 2, 2, 1, 1, 4, 2, 1, 1] |-0	-1.2	0.74833	[0, -2, -1, -1, -1, -1, -1, -1, -1, -3] |-:	-0.8	0.74833	[-1, -2, 0, -1, 0, -2, -1, -1, 0, 0] |-:>	-1.6	0.4899	[-1, -2, -2, -2, -2, -1, -1, -2, -2, -1] |-o	-1.2	0.9798	[-1, 0, -1, -1, -1, -1, -1, -4, -1, -1] |:	-0.5	1.68819	[2, -3, -1, 0, -1, -1, -1, -2, -1, 3] |;-)	2.2	1.32665	[4, 1, 1, 1, 3, 2, 4, 1, 4, 1] |=	-0.4	1.56205	[2, -2, -1, 0, -1, -1, -1, -2, -1, 3] |^:	-1.1	0.7	[-2, 0, -1, -1, 0, -1, -1, -2, -2, -1] |o:	-0.9	0.53852	[-1, 0, -1, -2, -1, 0, -1, -1, -1, -1] ||-:	-2.3	0.45826	[-2, -2, -2, -3, -3, -3, -2, -2, -2, -2] }:	-2.1	0.83066	[-1, -1, -3, -2, -3, -2, -2, -1, -3, -3] }:(	-2.0	0.63246	[-3, -1, -2, -1, -3, -2, -2, -2, -2, -2] }:)	0.4	1.42829	[1, 1, -2, 1, 2, -2, 1, -1, 2, 1] }:-(	-2.1	0.7	[-2, -1, -2, -2, -2, -4, -2, -2, -2, -2] }:-)	0.3	1.61555	[1, 1, -2, 1, -1, -3, 2, 2, 1, 1]