Example: air traffic controller
CHAPTER N-gram Language Models

CHAPTER N-gram Language Models

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estimate probabilities is called maximum likelihood estimation or MLE. We get maximum likelihood estimation the MLE estimate for the parameters of an n-gram model by getting counts from a normalize corpus, and normalizing the counts so that they lie between 0 and 1.1 For example, to compute a particular bigram probability of a word w n given a ...

  Language, Model, Maximum, Gram, Likelihood, Maximum likelihood, N gram language models

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