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    COLING
    2000
    152views Computational Linguistics» more  COLING 2000»
    Structural Feature Selection For English-Korean Statistical Machine Translation
    13 years 9 months ago
    Structural Feature Selection For English-Korean Statistical Machine Translation
    Download  acl.ldc.upenn.edu
    When aligning texts in very different languages such as Korean and English, structural features beyond word or phrase give useful intbrmation. In this paper, we present a method f...
    Seonho Kim, Juntae Yoon, Mansuk Song
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    NAACL
    2007
    95views Computational Linguistics» more  NAACL 2007»
    Generating Case Markers in Machine Translation
    13 years 9 months ago
    Generating Case Markers in Machine Translation
    Download  acl.ldc.upenn.edu
    We study the use of rich syntax-based statistical models for generating grammatical case for the purpose of machine translation from a language which does not indicate case explic...
    Kristina Toutanova, Hisami Suzuki
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    ACL
    2007
    116views Computational Linguistics» more  ACL 2007»
    A Discriminative Syntactic Word Order Model for Machine Translation
    13 years 9 months ago
    A Discriminative Syntactic Word Order Model for Machine Translation
    Download  nlp.stanford.edu
    We present a global discriminative statistical word order model for machine translation. Our model combines syntactic movement and surface movement information, and is discriminat...
    Pi-Chuan Chang, Kristina Toutanova
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    ACL
    1998
    147views Computational Linguistics» more  ACL 1998»
    Automatic Acquisition of Hierarchical Transduction Models for Machine Translation
    13 years 9 months ago
    Automatic Acquisition of Hierarchical Transduction Models for Machine Translation
    Download  www.aclweb.org
    We describe a method for the fully automatic learning of hierarchical finite state translation models. The input to the method is transcribed speech utterances and their correspon...
    Hiyan Alshawi, Srinivas Bangalore, Shona Douglas
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    ACL
    2012
    180views Computational Linguistics» more  ACL 2012»
    Improving the IBM Alignment Models Using Variational Bayes
    11 years 10 months ago
    Improving the IBM Alignment Models Using Variational Bayes
    Download  www.cs.rochester.edu
    Bayesian approaches have been shown to reduce the amount of overfitting that occurs when running the EM algorithm, by placing prior probabilities on the model parameters. We appl...
    Darcey Riley, Daniel Gildea
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