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    EMNLP
    2010
    143views Natural Language Processing» more  EMNLP 2010»
    It Depends on the Translation: Unsupervised Dependency Parsing via Word Alignment
    13 years 5 months ago
    It Depends on the Translation: Unsupervised Dependency Parsing via Word Alignment
    Download  www.aclweb.org
    We reveal a previously unnoticed connection between dependency parsing and statistical machine translation (SMT), by formulating the dependency parsing task as a problem of word a...
    Samuel Brody
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    FINTAL
    2006
    93views Natural Language Processing» more  FINTAL 2006»
    Improving Statistical Word Alignments with Morpho-syntactic Transformations
    13 years 11 months ago
    Improving Statistical Word Alignments with Morpho-syntactic Transformations
    Download  mi.eng.cam.ac.uk
    Abstract. This paper presents a wide range of statistical word alignment experiments incorporating morphosyntactic information. By means of parallel corpus transformations accordin...
    Adrià de Gispert, Deepa Gupta, Maja Popovic...
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    ACL
    2012
    261views Computational Linguistics» more  ACL 2012»
    A Topic Similarity Model for Hierarchical Phrase-based Translation
    11 years 10 months ago
    A Topic Similarity Model for Hierarchical Phrase-based Translation
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    Previous work using topic model for statistical machine translation (SMT) explore topic information at the word level. However, SMT has been advanced from word-based paradigm to p...
    Xinyan Xiao, Deyi Xiong, Min Zhang, Qun Liu, Shoux...
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    ACL
    1997
    76views Computational Linguistics» more  ACL 1997»
    Probing the Lexicon in Evaluating Commercial MT Systems
    13 years 8 months ago
    Probing the Lexicon in Evaluating Commercial MT Systems
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    In the past the evaluation of machine translation systems has focused on single system evaluations because there were only few systems available. But now there are several commerc...
    Martin Volk
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    ACL
    2008
    175views Computational Linguistics» more  ACL 2008»
    Applying Morphology Generation Models to Machine Translation
    13 years 9 months ago
    Applying Morphology Generation Models to Machine Translation
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    We improve the quality of statistical machine translation (SMT) by applying models that predict word forms from their stems using extensive morphological and syntactic information...
    Kristina Toutanova, Hisami Suzuki, Achim Ruopp
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