and that is , uh , i i An argument could be made for this  tur turning that into a qualitative statement because it 's talking about the thing that preceded it , but at present we haven't been , um , uh , coding the exact scope of laughing , you know , and so to have " while laughing " , you know that it happened somewhere in there which could well mean that it occurred separately and following , or , you know , including some of the utterances to the left. Haven't been awfully precise about that , but I have here , now we 're about to get to the  to this now , I have frequencies. So you 'll see how often these different things occur. But , um , uh , the very front page deals with this , uh , final c pa uh , uh , aspect of the standardization which has to do with the spoken forms like " mm - hmm " and " mm - hmm " and " ha " and " uh - uh " and all these different types. And , um , uh , someone pointed out to me , this might have been Chuck ,  about , um  about how a recognizer , if it 's looking for " mm - hmmm " with three M 's ,  and it 's transcribed with two M 's ,  that it might  uh , that it might increase the error rate which is  which would really be a shame because um , I p I personally w would not be able to make a claim that those are dr dramatically different items. So , right now I 've standardized across all the existing data with these spoken forms.
Oh good.
I  I should say
So it 's a small list.