Hello,

I am working with kenlm models and Moses. I have several different 
models and want to determine which model fits my data best before I 
train Moses.
I know that there are simple command line calls for eg SRILM to 
calculate perplexity but I couldn't find anything equivalent for kenlm.

The only thing I could find is a python function model.score(sentence) 
but no information about the score itself.

Does anybody know more about the score function of kenlm? Or does 
anybody know another way of calculating perplexity of a kenlm language 
model with respect to a test corpus?

Thanks in advance,

Sarah

-- 
Sarah Schulz
LT3 Language and Translation Technology Team
Department of Translation, Interpreting and Communication
Ghent University

Groot-Brittanniƫlaan 45
9000 Gent
[email protected]

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