Parsing ngrams as it is.

[znavoyan]

Hello, in the kenlm documents I found only one function to use: en_model.score(sentence).
Can you please provide detail description of functions available if there are?
I'm trying to parse unigram, birgram trigram probabilities from LM as they appear there.
For example LM contain the following lines. I need to have a function which will work like this: en_model.bigram_prob("too recognize") will return -4.923469
-4.923469 too recognised
-4.923469 too recognises
-4.923469 too recognize
-4.923469 too recommend
The same for unigrams and trigrams.

Does kenlm support such functionality ?

Thank you,
Zaven.

[kpu]

Read python/example.py and python/kenlm.pyx. I admit the docs should link there.

[kpu]

Is there a class assignment going on? I've gotten e-mails from three people asking for the same functionality, all in the Python API. It's there, it even uses the standard python help functionality. But it could be documented better.

[znavoyan]

Thank you for the reply. I have seen example.py and tried to implement the feature using full_scores(...). Which worked for me, only when set additional two parameter's values to false full_scores(ngram, False, False)