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Statistical natural language processing / Categorical data / Markov models / N-gram / Additive smoothing / Language model / Smoothing / Good–Turing frequency estimation / Entropy / Statistics / Probability and statistics / Probability


An Empirical Study of Smoothing Techniques for Language Modeling Stanley F. Chen and Joshua Goodman TR-10-98
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Document Date: 2007-06-09 13:55:37

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File Size: 907,98 KB

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City

Cambridge / Kneser / Essen / Ney / /

Company

Wall Street Journal / Hp / /

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Facility

Computer Science Carnegie Mellon University / Joshua Goodman Engineering Sciences Laboratory Harvard University / Computer Science Group Harvard University / /

IndustryTerm

compression algorithm / ective algorithm / automated search / erent smoothing algorithms / erent algorithms / /

MarketIndex

SET 100 / /

Organization

Language Modeling Stanley F. Chen School / Harvard University / Carnegie Mellon University / /

Person

Stanley F. Chen / Joshua Goodman / /

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Position

researcher / /

ProvinceOrState

Massachusetts / /

PublishedMedium

Wall Street Journal / /

RadioStation

Katz / /

Technology

speech recognition / smoothing algorithms / erent algorithms / resulting algorithm / machine translation / surveyed algorithms / compression algorithm / erent smoothing algorithms / optical character recognition / /

SocialTag