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Information retrieval / Natural language processing / Computational linguistics / Semantics / Latent semantic analysis / Word-sense disambiguation / Latent semantic indexing / N-gram / Letter case / Information science / Science / Linguistics


Contextual Spelling Correction Using Latent Semantic Analysis Michael P. Jones and James H. Martin D e p t . o f C o m p u t e r S c i e n c e a n d I n s t i t u t e of C o g n i t i v e S c i e n c e University of Colo
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Document Date: 2010-06-14 14:33:15


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City

Washington / D.C. / Santa Clara / Cambridge / Las Cruces / Providence / San Diego / New York / /

Company

Brown University Press / LSI / /

Currency

cent / /

Facility

University of Colorado Boulder / /

IndustryTerm

sight site / word processing systems / telecommunications network / respective systems / contextual spelling correction systems / data processing steps / /

MarketIndex

CHI / /

Organization

Brown University / Kenneth W. Church / University of Colorado Boulder / American Society for Information Science / Association for Computational Linguistics / /

Person

Thomas K. Landauer / James H. Martin / Michael P. Jones / Susan T. Dumais / W. Nelson Francis / Peter W. Foltz / Karen Kukich / Lynn A. Streeter / Gale Young / Richard A. Harshman / Yves Schabes / Scott Deerwester / Susan W. McRoy / Karen E. Lochbaum / Andrew R. Golding / William A. Gale / K. Landauer / W. Church / Henry KuSera / George W. Furnas / David Yarowsky / /

Position

author / writer / first author / Porter / ordinary vector space model for information retrieval / model for information retrieval / /

Product

Pentax K-x Digital Camera / /

ProvinceOrState

New Mexico / Rhode Island / California / New York / Colorado / /

PublishedMedium

Psychological Review / Computational Linguistics / Communications of the ACM / /

Technology

machine translation / /

SocialTag