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    COLING
    2008
    139views Computational Linguistics» more  COLING 2008»
    Linguistically Annotated BTG for Statistical Machine Translation
    13 years 9 months ago
    Linguistically Annotated BTG for Statistical Machine Translation
    Download  www1.i2r.a-star.edu.sg
    Bracketing Transduction Grammar (BTG) is a natural choice for effective integration of desired linguistic knowledge into statistical machine translation (SMT). In this paper, we p...
    Deyi Xiong, Min Zhang, AiTi Aw, Haizhou Li
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    TASLP
    2008
    201views more  TASLP 2008»
    Syntactically Lexicalized Phrase-Based SMT
    13 years 7 months ago
    Syntactically Lexicalized Phrase-Based SMT
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    Abstract--Until quite recently, extending Phrase-based Statistical Machine Translation (PBSMT) with syntactic knowledge caused system performance to deteriorate. The most recent su...
    Hany Hassan, Khalil Sima'an, Andy Way
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    ACL
    2006
    120views Computational Linguistics» more  ACL 2006»
    Maximum Entropy Based Phrase Reordering Model for Statistical Machine Translation
    13 years 9 months ago
    Maximum Entropy Based Phrase Reordering Model for Statistical Machine Translation
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    Deyi Xiong, Qun Liu, Shouxun Lin
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    COLING
    2010
    138views Computational Linguistics» more  COLING 2010»
    A Novel Reordering Model Based on Multi-layer Phrase for Statistical Machine Translation
    13 years 2 months ago
    A Novel Reordering Model Based on Multi-layer Phrase for Statistical Machine Translation
    Download  nlpr-web.ia.ac.cn
    Yanqing He, Yu Zhou, Chengqing Zong, Huilin Wang
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    JMLR
    2011
    187views more  JMLR 2011»
    Exploitation of Machine Learning Techniques in Modelling Phrase Movements for Machine Translation
    13 years 2 months ago
    Exploitation of Machine Learning Techniques in Modelling Phrase Movements for Machine Translation
    Download  jmlr.csail.mit.edu
    We propose a distance phrase reordering model (DPR) for statistical machine translation (SMT), where the aim is to learn the grammatical rules and context dependent changes using ...
    Yizhao Ni, Craig Saunders, Sándor Szedm&aac...
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