Learning a spelling error model from search query logs

HLT/EMNLP, pp.955-962, (2005)

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Applying the noisy channel model to search query spelling correction requires an error model and a language model. Typically, the error model relies on a weighted string edit distance measure. The weights can be learned from pairs of misspelled words and their corrections. This paper investigates using the Expectation Maximization algorit...更多

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