Detailed explanation of kenlm python module

Detailed explanation of kenlm python module

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1. Import the model

import kenlm
model= kenlm.LanguageModel("a.bin")
a.bin 是训练的统计语言模型

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2. Score

1. ** model.score() function **

score=model.score(sentence, bos=True, eos=True)
sentence：如果句子是汉语，那么需要将句子分词
bos,eos：句子的开头和结尾加上标记
model.score():是log(p(sentence)),p(sentence)是0-1之间的数值，取对数（底数是10）之后，为负数，p(sentence)越大越好，取对数之后仍是越大越好

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2. ** model.full_scores() function **

total=0.0
for score, _, _ in model.full_scores(sentence,bos=True, eos=True):
  	total+=score
total的结果和model.score()得分是相同的
total==model.score(sentence,bos=True, eos=True)
sentence:同上
bos,eos: