2759b03d85983fedd29b646380c713c3f4ccff66,nltk/lm/smoothing.py,WittenBell,alpha,#WittenBell#Any#Any#,23

Before Change

        return n_plus / (n_plus + self.counts[len(context) + 1].N())

    def alpha(self, word, context):
        return (1 - self.gamma(context)) * self.mle.score(word, context)

    def beta(self, word, context):
        return self.beta_model.score(word, context)

After Change

        return self.counts.unigrams.freq(word)

    def alpha(self, word, context):
        return self.counts[context].freq(word)

    def gamma(self, context):
        n_plus = sum(1 for c in self.counts[context].values() if c > 0)

Instances