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Web-based Models for Natural Language Processing MIRELLA LAPATA and FRANK KELLER University of Edinburgh Previous work demonstrated that web counts can be used to approximate bigram counts, thus suggesting that web-based
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Document Date: 2006-01-25 12:04:52


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City

Edinburgh / /

Company

Google / Altavista / ACM Inc. / Yahoo / /

Country

United Kingdom / /

Currency

USD / /

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Facility

FRANK KELLER University / /

IndustryTerm

web addresses / search process / search terms / web-based frequencies / web count / web-based approach scales / search term / web-based approach / unsupervised web-based models / web searches / copyright/server / Web Counts Following Keller / web-based heuristics / web-based methods / Web API / exhaustive search / web queries / expectation maximization algorithm / corpus query tool / web-scale data sets / morphological tools / web search engine / web-based and corpus-based models / Web-based services General Terms / search engines / Web Counts As / natural language processing / Web-based Models / web data / search engine / web counts / web-based model / web frequencies / be estimated using web counts / /

NaturalFeature

Task MT / /

Organization

FRANK KELLER University of Edinburgh Previous / National Park Service / School of Informatics / Interpol / /

Person

John Carroll / MIRELLA LAPATA / Meaning / Baseline Prescher / Ling Sem Syn / Chirac / Jean V / /

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Position

model / Web-based services General / Cao / /

Product

Gsearch corpus query tool / Gsearch / /

Technology

machine translation / API / expectation maximization algorithm / search engine / html / Natural Language Processing / artificial intelligence / http / /

URL

http /

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