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N -Gram Posterior Probabilities for Statistical Machine Translation Richard Zens and Hermann Ney Human Language Technology and Pattern Recognition Lehrstuhl f¨ur Informatik 6 – Computer Science Department RWTH Aachen
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Document Date: 2006-05-05 19:20:38


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Cambridge University Press / W. H. Press S. A. / Case / J. Cocke S. A. / /

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Americas / /

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Switzerland / Germany / Hungary / Japan / Canada / United Kingdom / /

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Facility

Computer Science Department RWTH Aachen University / College Park / football field In / RWTH Aachen University / University of Maryland / /

IndustryTerm

translation systems / search process / potential applications / beam search decoder / huge search space / phrase-based translation systems / search pass / /

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Cambridge University / Defense Advanced Research Projects Agency / Computer Science Department RWTH Aachen University / Association for Machine Translation / University of Maryland / College Park / RWTH Aachen University / Aachen / FIFA / European Union / International Football Federation / North American Chapter / Association for Computational Linguistics / /

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Richard Zens / Della Pietra / V / I. Again / K. Eng / V / Hermann Ney / J. Della Pietra / F. Jelinek / /

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Pharaoh / human translator / model / candidate / /

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Maryland / Louisiana / Pennsylvania / Massachusetts / Colorado / /

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Computational Linguistics / /

Technology

LAN / speech recognition / Human Language Technology / Machine Translation / Simplex algorithm / machine translation system / Natural Language Processing / /

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