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    » Regenerating Hypotheses for Statistical Machine Translation
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    ACL
    1998
    155views Computational Linguistics» more  ACL 1998»
    Machine Translation with a Stochastic Grammatical Channel
    13 years 6 months ago
    Machine Translation with a Stochastic Grammatical Channel
    Download  www.mt-archive.info
    We introduce a stochastic grammatical channel model for machine translation, that synthesizes several desirable characteristics of both statistical and grammatical machine transla...
    Dekai Wu, Hongsing Wong
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    TASLP
    2008
    229views more  TASLP 2008»
    System Combination for Machine Translation of Spoken and Written Language
    13 years 5 months ago
    System Combination for Machine Translation of Spoken and Written Language
    Download  www-i6.informatik.rwth-aachen.de
    This paper describes an approach for computing a consensus translation from the outputs of multiple machine translation (MT) systems. The consensus translation is computed by weigh...
    Evgeny Matusov, Gregor Leusch, Rafael E. Banchs, N...
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    ACL
    2006
    124views Computational Linguistics» more  ACL 2006»
    Re-Usable Tools for Precision Machine Translation
    13 years 6 months ago
    Re-Usable Tools for Precision Machine Translation
    Download  acl.ldc.upenn.edu
    The LOGON MT demonstrator assembles independently valuable general-purpose NLP components into a machine translation pipeline that capitalizes on output quality. The demonstrator ...
    Jan Tore Lønning, Stephan Oepen
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    MT
    2002
    297views more  MT 2002»
    MARS: A Statistical Semantic Parsing and Generation-Based Multilingual Automatic tRanslation System
    13 years 5 months ago
    MARS: A Statistical Semantic Parsing and Generation-Based Multilingual Automatic tRanslation System
    Download  www.ohio.edu
    We present MARS (Multilingual Automatic tRanslation System), a research prototype speech-to-speech translation system. MARS is aimed at two-way conversational spoken language trans...
    Yuqing Gao, Bowen Zhou, Zijian Diao, Jeffrey S. So...
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    ACL
    2009
    121views Computational Linguistics» more  ACL 2009»
    Efficient Minimum Error Rate Training and Minimum Bayes-Risk Decoding for Translation Hypergraphs and Lattices
    13 years 3 months ago
    Efficient Minimum Error Rate Training and Minimum Bayes-Risk Decoding for Translation Hypergraphs and Lattices
    Download  aclweb.org
    Minimum Error Rate Training (MERT) and Minimum Bayes-Risk (MBR) decoding are used in most current state-of-theart Statistical Machine Translation (SMT) systems. The algorithms wer...
    Shankar Kumar, Wolfgang Macherey, Chris Dyer, Fran...
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