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    » Pattern-Based Context-Free Grammars for Machine Translation
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    EMNLP
    2008
    144views Natural Language Processing» more  EMNLP 2008»
    Generalizing Local and Non-Local Word-Reordering Patterns for Syntax-Based Machine Translation
    13 years 6 months ago
    Generalizing Local and Non-Local Word-Reordering Patterns for Syntax-Based Machine Translation
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    Syntactic word reordering is essential for translations across different grammar structures between syntactically distant languagepairs. In this paper, we propose to embed local a...
    Bing Zhao, Yaser Al-Onaizan
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    ACL
    2009
    151views Computational Linguistics» more  ACL 2009»
    Demonstration of Joshua: An Open Source Toolkit for Parsing-based Machine Translation
    13 years 2 months ago
    Demonstration of Joshua: An Open Source Toolkit for Parsing-based Machine Translation
    Download  www.aclweb.org
    We describe Joshua (Li et al., 2009a)1, an open source toolkit for statistical machine translation. Joshua implements all of the algorithms required for translation via synchronou...
    Zhifei Li, Chris Callison-Burch, Chris Dyer, Juri ...
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    EMNLP
    2009
    142views Natural Language Processing» more  EMNLP 2009»
    Better Synchronous Binarization for Machine Translation
    13 years 2 months ago
    Better Synchronous Binarization for Machine Translation
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    Binarization of Synchronous Context Free Grammars (SCFG) is essential for achieving polynomial time complexity of decoding for SCFG parsing based machine translation systems. In t...
    Tong Xiao, Mu Li, Dongdong Zhang, Jingbo Zhu, Ming...
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    ACL
    2006
    100views Computational Linguistics» more  ACL 2006»
    Factoring Synchronous Grammars by Sorting
    13 years 6 months ago
    Factoring Synchronous Grammars by Sorting
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    Synchronous Context-Free Grammars (SCFGs) have been successfully exploited as translation models in machine translation applications. When parsing with an SCFG, computational comp...
    Daniel Gildea, Giorgio Satta, Hao Zhang
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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 2 months ago
    Efficient Minimum Error Rate Training and Minimum Bayes-Risk Decoding for Translation Hypergraphs and Lattices
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    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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