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    » Computational Complexity of Statistical Machine Translation
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    COLING
    2010
    143views Computational Linguistics» more  COLING 2010»
    Adaptive Development Data Selection for Log-linear Model in Statistical Machine Translation
    13 years 2 months ago
    Adaptive Development Data Selection for Log-linear Model in Statistical Machine Translation
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    This paper addresses the problem of dynamic model parameter selection for loglinear model based statistical machine translation (SMT) systems. In this work, we propose a principle...
    Mu Li, Yinggong Zhao, Dongdong Zhang, Ming Zhou
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    ACL
    2009
    89views Computational Linguistics» more  ACL 2009»
    Variational Decoding for Statistical Machine Translation
    13 years 5 months ago
    Variational Decoding for Statistical Machine Translation
    Download  www.cs.jhu.edu
    Statistical models in machine translation exhibit spurious ambiguity. That is, the probability of an output string is split among many distinct derivations (e.g., trees or segment...
    Zhifei Li, Jason Eisner, Sanjeev Khudanpur
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    ACL
    2009
    86views Computational Linguistics» more  ACL 2009»
    A non-contiguous Tree Sequence Alignment-based Model for Statistical Machine Translation
    13 years 5 months ago
    A non-contiguous Tree Sequence Alignment-based Model for Statistical Machine Translation
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    The tree sequence based translation model allows the violation of syntactic boundaries in a rule to capture non-syntactic phrases, where a tree sequence is a contiguous sequence o...
    Jun Sun, Min Zhang, Chew Lim Tan
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    ACL
    2009
    160views Computational Linguistics» more  ACL 2009»
    Active Learning for Multilingual Statistical Machine Translation
    13 years 5 months ago
    Active Learning for Multilingual Statistical Machine Translation
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    Statistical machine translation (SMT) models require bilingual corpora for training, and these corpora are often multilingual with parallel text in multiple languages simultaneous...
    Gholamreza Haffari, Anoop Sarkar
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    ACL
    2009
    129views Computational Linguistics» more  ACL 2009»
    Bridging Morpho-Syntactic Gap between Source and Target Sentences for English-Korean Statistical Machine Translation
    13 years 5 months ago
    Bridging Morpho-Syntactic Gap between Source and Target Sentences for English-Korean Statistical Machine Translation
    Download  www.mt-archive.info
    Often, Statistical Machine Translation (SMT) between English and Korean suffers from null alignment. Previous studies have attempted to resolve this problem by removing unnecessar...
    Gum-Won Hong, Seung-Wook Lee, Hae-Chang Rim
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