Difference between revisions of "N-grams"
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In the fields of computational linguistics and probability, an n-gram is a contiguous sequence of n items from a given sequence of text or speech. An n-gram could be any combination of letters. However, the items in question can be phonemes, syllables, letters, words or base pairs according to the application. The n-grams typically are collected from a text or speech corpus. | In the fields of computational linguistics and probability, an n-gram is a contiguous sequence of n items from a given sequence of text or speech. An n-gram could be any combination of letters. However, the items in question can be phonemes, syllables, letters, words or base pairs according to the application. The n-grams typically are collected from a text or speech corpus. | ||
An n-gram of size 1 is referred to as a "unigram"; size 2 is a "bigram" (or, less commonly, a "digram"); size 3 is a "trigram". Larger sizes are sometimes referred to by the value of n, e.g., "four-gram", "five-gram", and so on. | An n-gram of size 1 is referred to as a "unigram"; size 2 is a "bigram" (or, less commonly, a "digram"); size 3 is a "trigram". Larger sizes are sometimes referred to by the value of n, e.g., "four-gram", "five-gram", and so on. | ||
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| + | == Relevant Papers == | ||
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| + | {{#ask: [[UsesMethod::Naive Bayes]] | ||
| + | | ?AddressesProblem | ||
| + | | ?UsesDataset | ||
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Latest revision as of 01:22, 6 November 2012
In the fields of computational linguistics and probability, an n-gram is a contiguous sequence of n items from a given sequence of text or speech. An n-gram could be any combination of letters. However, the items in question can be phonemes, syllables, letters, words or base pairs according to the application. The n-grams typically are collected from a text or speech corpus. An n-gram of size 1 is referred to as a "unigram"; size 2 is a "bigram" (or, less commonly, a "digram"); size 3 is a "trigram". Larger sizes are sometimes referred to by the value of n, e.g., "four-gram", "five-gram", and so on.
