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Natural language processing / Statistical machine translation / Pivot language / Transfer-based machine translation / Rule-based machine translation / Translation / Word-sense disambiguation / Interlingual machine translation / PROMT / Machine translation / Linguistics / Science


Tel Aviv University Lester and Sally Entin Faculty of the Humanities Department of Linguistics Transfer-based Machine Translation between morphologically-rich and resource-poor languages:
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Document Date: 2011-12-29 05:17:33

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File Size: 1,34 MB

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City

Linguistics Transfer / Georgetown / /

Company

IBM / /

Country

Spain / United States / /

Facility

Tel Aviv University / University of Haifa Fred Landman / University Lester / /

IndustryTerm

online corpora / search component / search problem / semantic processing / Possible solutions / richer processing / large rule-based systems / linguistic tools / online text / /

NaturalFeature

Lithuanian MT / Hybrid MT / MT. / Modern MT / /

Organization

Humanities Department of Linguistics Transfer-based Machine Translation / Tel Aviv University / Tel Aviv University Lester and Sally Entin Faculty / University of Haifa / MT. Chapter / U.S government / /

ProvinceOrState

Montana / /

Technology

encryption / Speech Recognition / Machine Translation / /

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