Hi June,
After you get the automatically induced classes (the class definition in file
text.cls), you can map all the words in your training set to classes using:
replace-words-with-classes classes=text.cls training_set > training_set_classes
Then you can any order class-based LM from that.
Hope this helps.
-- Yang
>Hi,
>
> I tried to build class based LMs in the following way:
>
> step-1: ngram-class -text test.in -numclasses 100 -class-counts text.cnt
-classes text.cls -save 100
>
> step-2: ngram-count -read text.cnt -memuse -kndiscount -kndiscount1
-kndiscount2 -lm text.srilm.gz
>
> I found that the class count output "text.cnt" from step-1 is only
bigram-counts. Thus the final class-LM text.srilm.gz is also a bigram one.
>
> Could anyone tell me if I am using the toolkit correctly? How to build a
trigram class-based LM? Also are there any published paper/document that I can
look up for detail information?
>
> Many thanks,
>
>-June
>
>
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