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    EMNLP
    2007
    146views Natural Language Processing» more  EMNLP 2007»
    Improving Word Alignment with Bridge Languages
    13 years 10 months ago
    Improving Word Alignment with Bridge Languages
    Download  www.aclweb.org
    We describe an approach to improve Statistical Machine Translation (SMT) performance using multi-lingual, parallel, sentence-aligned corpora in several bridge languages. Our appro...
    Shankar Kumar, Franz Josef Och, Wolfgang Macherey
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    AMTA
    2004
    Springer
    254views Information Technology» more  AMTA 2004»
    A Fluency Error Categorization Scheme to Guide Automated Machine Translation Evaluation
    14 years 2 months ago
    A Fluency Error Categorization Scheme to Guide Automated Machine Translation Evaluation
    Download  www.comp.leeds.ac.uk
    Abstract. Existing automated MT evaluation methods often require expert human translations. These are produced for every language pair evaluated and, due to this expense, subsequen...
    Debbie Elliott, Anthony Hartley, Eric Atwell
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    ACL
    2012
    194views Computational Linguistics» more  ACL 2012»
    Fast and Scalable Decoding with Language Model Look-Ahead for Phrase-based Statistical Machine Translation
    11 years 11 months ago
    Fast and Scalable Decoding with Language Model Look-Ahead for Phrase-based Statistical Machine Translation
    Download  www-i6.informatik.rwth-aachen.de
    In this work we present two extensions to the well-known dynamic programming beam search in phrase-based statistical machine translation (SMT), aiming at increased efficiency of ...
    Joern Wuebker, Hermann Ney, Richard Zens
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    EMNLP
    2011
    164views Natural Language Processing» more  EMNLP 2011»
    Watermarking the Outputs of Structured Prediction with an application in Statistical Machine Translation
    12 years 8 months ago
    Watermarking the Outputs of Structured Prediction with an application in Statistical Machine Translation
    Download  cs.jhu.edu
    We propose a general method to watermark and probabilistically identify the structured outputs of machine learning algorithms. Our method is robust to local editing operations and...
    Ashish Venugopal, Jakob Uszkoreit, David Talbot, F...
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    EMNLP
    2009
    143views Natural Language Processing» more  EMNLP 2009»
    Extending Statistical Machine Translation with Discriminative and Trigger-Based Lexicon Models
    13 years 6 months ago
    Extending Statistical Machine Translation with Discriminative and Trigger-Based Lexicon Models
    Download  aclweb.org
    In this work, we propose two extensions of standard word lexicons in statistical machine translation: A discriminative word lexicon that uses sentence-level source information to ...
    Arne Mauser, Sasa Hasan, Hermann Ney
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