<s> from __future__ import unicode_literals <EOL> import sys <EOL> import gzip <EOL> import marshal <EOL> from math import log <EOL> from . . utils import frequency <EOL> class CharacterBasedGenerativeModel ( object ) : <EOL> def __init__ ( self ) : <EOL> self . l1 = <NUM_LIT:0.0> <EOL> self . l2 = <NUM_LIT:0.0> <EOL> self . l3 = <NUM_LIT:0.0> <EOL> self . status = ( '<STR_LIT:b>' , '<STR_LIT:m>' , '<STR_LIT:e>' , '<STR_LIT:s>' ) <EOL> self . uni = frequency . NormalProb ( ) <EOL> self . bi = frequency . NormalProb ( ) <EOL> self . tri = frequency . NormalProb ( ) <EOL> def save ( self , fname , iszip = True ) : <EOL> d = { } <EOL> for k , v in self . __dict__ . items ( ) : <EOL> if hasattr ( v , '<STR_LIT>' ) : <EOL> d [ k ] = v . __dict__ <EOL> else : <EOL> d [ k ] = v <EOL> if sys . version_info [ <NUM_LIT:0> ] == <NUM_LIT:3> : <EOL> fname = fname + '<STR_LIT>' <EOL> if not iszip : <EOL> marshal . dump ( d , open ( fname , '<STR_LIT:wb>' ) ) <EOL> else : <EOL> f = gzip . open ( fname , '<STR_LIT:wb>' ) <EOL> f . write ( marshal . dumps ( d ) ) <EOL> f . close ( ) <EOL> def load ( self , fname , iszip = True ) : <EOL> if sys . version_info [ <NUM_LIT:0> ] == <NUM_LIT:3> : <EOL> fname = fname + '<STR_LIT>' <EOL> if not iszip : <EOL> d = marshal . load ( open ( fname , '<STR_LIT:rb>' ) ) <EOL> else : <EOL> try : <EOL> f = gzip . open ( fname , '<STR_LIT:rb>' ) <EOL> d = marshal . loads ( f . read ( ) ) <EOL> except IOError : <EOL> f = open ( fname , '<STR_LIT:rb>' ) <EOL> d = marshal . loads ( f . read ( ) ) <EOL> f . close ( ) <EOL> for k , v in d . items ( ) : <EOL> if hasattr ( self . __dict__ [ k ] , '<STR_LIT>' ) : <EOL> self . __dict__ [ k ] . __dict__ = v <EOL> else : <EOL> self . __dict__ [ k ] = v <EOL> def div ( self , v1 , v2 ) : <EOL> if v2 == <NUM_LIT:0> : <EOL> return <NUM_LIT:0> <EOL> return float ( v1 ) / v2 <EOL> def train ( self , data ) : <EOL> for sentence in data : <EOL> now = [ ( '<STR_LIT>' , '<STR_LIT>' ) , ( '<STR_LIT>' , '<STR_LIT>' ) ] <EOL> self . bi . add ( ( ( '<STR_LIT>' , '<STR_LIT>' ) , ( '<STR_LIT>' , '<STR_LIT>' ) ) , <NUM_LIT:1> ) <EOL> self . uni . add ( ( '<STR_LIT>' , '<STR_LIT>' ) , <NUM_LIT:2> ) <EOL> for word , tag in sentence : <EOL> now . append ( ( word , tag ) ) <EOL> self . uni . add ( ( word , tag ) , <NUM_LIT:1> ) <EOL> self . bi . add ( tuple ( now [ <NUM_LIT:1> : ] ) , <NUM_LIT:1> ) <EOL> self . tri . add ( tuple ( now ) , <NUM_LIT:1> ) <EOL> now . pop ( <NUM_LIT:0> ) <EOL> tl1 = <NUM_LIT:0.0> <EOL> tl2 = <NUM_LIT:0.0> <EOL> tl3 = <NUM_LIT:0.0> <EOL> samples = sorted ( self . tri . samples ( ) , key = lambda x : self . tri . get ( x ) [ <NUM_LIT:1> ] ) <EOL> for now in samples : <EOL> c3 = self . div ( self . tri . get ( now ) [ <NUM_LIT:1> ] - <NUM_LIT:1> , self . bi . get ( now [ : <NUM_LIT:2> ] ) [ <NUM_LIT:1> ] - <NUM_LIT:1> ) <EOL> c2 = self . div ( self . bi . get ( now [ <NUM_LIT:1> : ] ) [ <NUM_LIT:1> ] - <NUM_LIT:1> , self . uni . get ( now [ <NUM_LIT:1> ] ) [ <NUM_LIT:1> ] - <NUM_LIT:1> ) <EOL> c1 = self . div ( self . uni . get ( now [ <NUM_LIT:2> ] ) [ <NUM_LIT:1> ] - <NUM_LIT:1> , self . uni . getsum ( ) - <NUM_LIT:1> ) <EOL> if c3 >= c1 and c3 >= c2 : <EOL> tl3 += self . tri . get ( now ) [ <NUM_LIT:1> ] <EOL> elif c2 >= c1 and c2 >= c3 : <EOL> tl2 += self . tri . get ( now ) [ <NUM_LIT:1> ] <EOL> elif c1 >= c2 and c1 >= c3 : <EOL> tl1 += self . tri . get ( now ) [ <NUM_LIT:1> ] <EOL> self . l1 = self . div ( tl1 , tl1 + tl2 + tl3 ) <EOL> self . l2 = self . div ( tl2 , tl1 + tl2 + tl3 ) <EOL> self . l3 = self . div ( tl3 , tl1 + tl2 + tl3 ) <EOL> def log_prob ( self , s1 , s2 , s3 ) : <EOL> uni = self . l1 * self . uni . freq ( s3 ) <EOL> bi = self . div ( self . l2 * self . bi . get ( ( s2 , s3 ) ) [ <NUM_LIT:1> ] , self . uni . get ( s2 ) [ <NUM_LIT:1> ] ) <EOL> tri = self . div ( self . l3 * self . tri . get ( ( s1 , s2 , s3 ) ) [ <NUM_LIT:1> ] , <EOL> self . bi . get ( ( s1 , s2 ) ) [ <NUM_LIT:1> ] ) <EOL> if uni + bi + tri == <NUM_LIT:0> : <EOL> return float ( '<STR_LIT>' ) <EOL> return log ( uni + bi + tri ) <EOL> def tag ( self , data ) : <EOL> now = [ ( ( ( '<STR_LIT>' , '<STR_LIT>' ) , ( '<STR_LIT>' , '<STR_LIT>' ) ) , <NUM_LIT:0.0> , [ ] ) ] <EOL> for w in data : <EOL> stage = { } <EOL> not_found = True <EOL> for s in self . status : <EOL> if self . uni . freq ( ( w , s ) ) != <NUM_LIT:0> : <EOL> not_found = False <EOL> break <EOL> if not_found : <EOL> for s in self . status : <EOL> for pre in now : <EOL> stage [ ( pre [ <NUM_LIT:0> ] [ <NUM_LIT:1> ] , ( w , s ) ) ] = ( pre [ <NUM_LIT:1> ] , pre [ <NUM_LIT:2> ] + [ s ] ) <EOL> now = list ( map ( lambda x : ( x [ <NUM_LIT:0> ] , x [ <NUM_LIT:1> ] [ <NUM_LIT:0> ] , x [ <NUM_LIT:1> ] [ <NUM_LIT:1> ] ) , <EOL> stage . items ( ) ) ) <EOL> continue <EOL> for s in self . status : <EOL> for pre in now : <EOL> p = pre [ <NUM_LIT:1> ] + self . log_prob ( pre [ <NUM_LIT:0> ] [ <NUM_LIT:0> ] , pre [ <NUM_LIT:0> ] [ <NUM_LIT:1> ] , ( w , s ) ) <EOL> if ( not ( pre [ <NUM_LIT:0> ] [ <NUM_LIT:1> ] , <EOL> ( w , s ) ) in stage ) or p > stage [ ( pre [ <NUM_LIT:0> ] [ <NUM_LIT:1> ] , <EOL> ( w , s ) ) ] [ <NUM_LIT:0> ] : <EOL> stage [ ( pre [ <NUM_LIT:0> ] [ <NUM_LIT:1> ] , ( w , s ) ) ] = ( p , pre [ <NUM_LIT:2> ] + [ s ] ) <EOL> now = list ( map ( lambda x : ( x [ <NUM_LIT:0> ] , x [ <NUM_LIT:1> ] [ <NUM_LIT:0> ] , x [ <NUM_LIT:1> ] [ <NUM_LIT:1> ] ) , stage . items ( ) ) ) <EOL> return zip ( data , max ( now , key = lambda x : x [ <NUM_LIT:1> ] ) [ <NUM_LIT:2> ] ) </s>
