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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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    EMNLP
    2008
    131views Natural Language Processing» more  EMNLP 2008»
    Maximum Entropy based Rule Selection Model for Syntax-based Statistical Machine Translation
    13 years 9 months ago
    Maximum Entropy based Rule Selection Model for Syntax-based Statistical Machine Translation
    Download  www.aclweb.org
    This paper proposes a novel maximum entropy based rule selection (MERS) model for syntax-based statistical machine translation (SMT). The MERS model combines local contextual info...
    Qun Liu, Zhongjun He, Yang Liu, Shouxun Lin
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    COLING
    2000
    87views Computational Linguistics» more  COLING 2000»
    Toward a Scoring Function for Quality-Driven Machine Translation
    13 years 9 months ago
    Toward a Scoring Function for Quality-Driven Machine Translation
    Download  acl.ldc.upenn.edu
    We describe how we constructed an automatic scoring function for machine translation quality; this function makes use of arbitrarily many pieces of natural language processing sof...
    Douglas A. Jones, Gregory M. Rusk
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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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