nltk.lm.MLE

class documentation

class MLE(LanguageModel): (source)

Constructor: MLE(order, vocabulary, counter)

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Class for providing MLE ngram model scores.

Inherits initialization from BaseNgramModel.

Method unmasked_score Returns the MLE score for a word given a context.

Inherited from LanguageModel:

Method __init__ Creates new LanguageModel.
Method context_counts Helper method for retrieving counts for a given context.
Method entropy Calculate cross-entropy of model for given evaluation text.
Method fit Trains the model on a text.
Method generate Generate words from the model.
Method logscore Evaluate the log score of this word in this context.
Method perplexity Calculates the perplexity of the given text.
Method score Masks out of vocab (OOV) words and computes their model score.
Instance Variable counts Undocumented
Instance Variable order Undocumented
Instance Variable vocab Undocumented
def unmasked_score(self, word, context=None): (source) ΒΆ
overrides nltk.lm.api.LanguageModel.unmasked_score

Returns the MLE score for a word given a context.

Args: - word is expected to be a string - context is expected to be something reasonably convertible to a tuple