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Coding theory / Statistics / Information / Dynamic programming / Automatic identification and data capture / Noisy channel model / Damerau–Levenshtein distance / Levenshtein distance / Noisy-channel coding theorem / Statistical natural language processing / Mathematics / Computational linguistics


An Improved Error Model for Noisy Channel Spelling Correction Eric Brill and Robert C. Moore Microsoft Research
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Document Date: 2002-09-23 18:40:24

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File Size: 71,10 KB

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City

Stuttgart / /

Company

Dell / Microsoft / /

Country

Germany / /

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We store / Prentice Hall / terminal QRGHV RI WKH WULHV DQG VWULQJV LQ / /

IndustryTerm

noisy channel model solution / dynamic programming algorithm / computing / on-line text / considerable energy / search technique / /

Organization

Royal Statistical Society / Language Model Church / /

Person

Robert C. Moore / Max Window / Morgan Kaufmann / Eric Brill / /

Position

Fisher / representative / channel model for spelling correction / /

PublishedMedium

Communications of the ACM / Journal of the Royal Statistical Society / Machine Learning / /

RadioStation

90.9 92.9 93.6 / WKDW / /

Technology

dynamic programming algorithm / Natural Language Processing / Machine Learning / EM algorithm / Expectation-Maximization algorithm / /

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