Word n-gram language model: Difference between revisions

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{{DISPLAYTITLE:word ''n''-gram language model}}

A '''word n-gram language model''' of natural language is a [[language model]] that generates probabilities of a series of words, based on an (over-simplified) assumption that the probability of the next word in a sequence depends only on a fixed size window of previous words. If only one previous word is considered, it is called a bigram model; if two words, a trigram model; if ''n''-1 words, an ''n''-gram model.<ref name=jm/>

For example, a bigram language model would assign the probabilities of words in the sentence ''I saw the red house'' as: