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Language Models for Machine Translation: Original vs. Translated Texts Gennadi Lembersky and Noam Ordan and Shuly Wintner Department of Computer Science, University of Haifa, 31905 Haifa, Israel [removed].
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Document Date: 2011-07-20 22:52:08


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File Size: 298,75 KB

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City

Santos / Barcelona / Newark / Boulder / Morristown / Amsterdam / vs. T / LM O / Edinburgh / /

Company

University of Delaware Press / LM / HaAretz / International Herald Tribune / Human Language Technologies / LMs / /

Country

United States / United Kingdom / Scotland / Spain / /

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Facility

University of Haifa / Prentice Hall / /

IndustryTerm

mixture systems / translation product / train systems / translatedfrom-source systems / /

NaturalFeature

MT. Kurokawa et al. / English MT / French MT / /

Organization

Israel Science Foundation / University of Haifa / Acoustical Society of America / European parliament / University of Delaware / Canadian parliament / Shuly Wintner Department of Computer Science / North American Chapter / Pattern Analysis and Machine Intelligence / Association for Computational Linguistics / /

Person

James H. Martin / William Frawley / Elena Tognini-Bonelli / Mona Baker / Peng Xu / Juan C. Sager / Marco Baroni / Christopher Manning / Frederick Jelinek / Ruslan Mitkov / Translated Texts Gennadi Lembersky / Alon Lavie / Corpas Pastor / BLEU MIX / Thorsten Brants / Daniel Jurafsky / Silvia Bernardini / Hans Lindquist / Martin Gellerstam / John Sinclair / Trond Grenager / Diana Inkpen / John Benjamins / Pierre Isabelle / Jenny Rose Finkel / Translation / Omar S. Al-Shabab / Philipp Koehn / George Foster / Cyril Goutte / Elena TogniniBonelli / Terminology / Noam Ordan / /

Position

editor / speaker / model / /

Product

Europarl / /

ProvinceOrState

New Foundland and Labrador / Montana / Delaware / Colorado / /

PublishedMedium

IEEE Transactions on Pattern Analysis and Machine Intelligence / Computational Linguistics / the International Herald Tribune / Lecture Notes in Computer Science / /

Region

Scandinavia / /

Technology

speech recognition / Machine Translation / machine learning / machine translation system / Natural Language Processing / /

URL

http /

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