class based SRI LM

[June July]

Thanks alot! 


Yang Liu <yangl at ecn.purdue.edu> wrote:
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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