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    EMNLP
    2011
    148views Natural Language Processing» more  EMNLP 2011»
    Cache-based Document-level Statistical Machine Translation
    12 years 8 months ago
    Cache-based Document-level Statistical Machine Translation
    Download  aclweb.org
    Zhengxian Gong, Min Zhang, Guodong Zhou
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    ACL
    2012
    227views Computational Linguistics» more  ACL 2012»
    Combining Word-Level and Character-Level Models for Machine Translation Between Closely-Related Languages
    11 years 11 months ago
    Combining Word-Level and Character-Level Models for Machine Translation Between Closely-Related Languages
    Download  aclweb.org
    We propose several techniques for improving statistical machine translation between closely-related languages with scarce resources. We use character-level translation trained on ...
    Preslav Nakov, Jörg Tiedemann
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    NAACL
    2007
    154views Computational Linguistics» more  NAACL 2007»
    Translation Model Pruning via Usage Statistics for Statistical Machine Translation
    13 years 10 months ago
    Translation Model Pruning via Usage Statistics for Statistical Machine Translation
    Download  acl.ldc.upenn.edu
    We describe a new pruning approach to remove phrase pairs from translation models of statistical machine translation systems. The approach applies the original translation system ...
    Matthias Eck, Stephan Vogel, Alex Waibel
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    CICLING
    2008
    Springer
    172views Natural Language Processing» more  CICLING 2008»
    Dynamic Translation Memory: Using Statistical Machine Translation to Improve Translation Memory Fuzzy Matches
    13 years 11 months ago
    Dynamic Translation Memory: Using Statistical Machine Translation to Improve Translation Memory Fuzzy Matches
    Download  www.xrce.xerox.com
    Abstract. Professional translators of technical documents often use Translation Memory (TM) systems in order to capitalize on the repetitions frequently observed in these documents...
    Ergun Biçici, Marc Dymetman
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    EMNLP
    2009
    123views Natural Language Processing» more  EMNLP 2009»
    First- and Second-Order Expectation Semirings with Applications to Minimum-Risk Training on Translation Forests
    13 years 6 months ago
    First- and Second-Order Expectation Semirings with Applications to Minimum-Risk Training on Translation Forests
    Download  cs.jhu.edu
    Many statistical translation models can be regarded as weighted logical deduction. Under this paradigm, we use weights from the expectation semiring (Eisner, 2002), to compute fir...
    Zhifei Li, Jason Eisner
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