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Mixture-Model Adaptation for SMT George Foster and Roland Kuhn National Research Council Canada [removed]
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Document Date: 2007-05-18 09:55:58


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City

Geneva / Sapporo / Ostendorf / Whistler / Minneapolis / Budapest / Boston / Sydney / New Orleans / Prague / College Park / /

Company

IBM / Cambridge University Press / MIT Press / William H. Press / /

Country

Australia / United Kingdom / /

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IndustryTerm

car-repair manuals / bilingual applications / discriminative global training algorithm / phrase induction algorithm / /

MusicGroup

B.C. / /

NaturalFeature

NIST MT / /

Organization

Cambridge University / MIT / Roland Kuhn National Research Council Canada / idf / idf LSA / United Nations / Association for Computational Linguistics / /

Person

Jerome Friedman / Bing Zhao / Christoph Tillmann / Brian P. Flannery / Richard Zens / Salim Roukos / LM TM / Ben Taskar / Frederick Jelinek / Reinhard Kneser / Matthias Eck / Florian / Peter F. Brown / Dan Klein / Vincent Della / Stephen A. Della / T. Vetterling / LM TM LM / David Yarowsky / Hermann Ney / Franz Josef Och / Della J. Pietra / Volker Steinbiss / Roland Kuhn / A. Della Pietra / Silja Hildebrand / Almut Silja Hildebrand / Nicola Ueffing / Tong Zhang / Todd Ward / Trevor Hastie / Percy Liang / Alex Waibel / Robert Tibshirani / Daniel Marcu / Philipp Koehn / Stephan Vogel / George Foster / Renato De Mori / Saul A. Teukolsky / Radu Florian / /

Position

cache-based natural language model for speech recognition / model / representative / global IBM2 model / and were not adapted / General / /

Product

Downhill Simplex / /

ProvinceOrState

Minnesota / Maryland / British Columbia / /

PublishedMedium

Computational Linguistics / /

Technology

speech recognition / Machine Translation / machine learning / EM algorithm / two-pass algorithm / Machine Translation System / phrase induction algorithm / Downhill Simplex algorithm / /

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