class based SRI LM

[June July]

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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