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    NAACL
    2007
    133views Computational Linguistics» more  NAACL 2007»
    Source-Language Features and Maximum Correlation Training for Machine Translation Evaluation
    15 years 1 months ago
    Source-Language Features and Maximum Correlation Training for Machine Translation Evaluation
    Download  www.cs.rochester.edu
    We propose three new features for MT evaluation: source-sentence constrained n-gram precision, source-sentence reordering metrics, and discriminative unigram precision, as well as...
    Ding Liu, Daniel Gildea
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    NAACL
    2007
    70views Computational Linguistics» more  NAACL 2007»
    Generalized Graphical Abstractions for Statistical Machine Translation
    15 years 1 months ago
    Generalized Graphical Abstractions for Statistical Machine Translation
    Download  ssli.ee.washington.edu
    Karim Filali, Jeff A. Bilmes
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    NAACL
    2007
    61views Computational Linguistics» more  NAACL 2007»
    Selective Phrase Pair Extraction for Improved Statistical Machine Translation
    15 years 1 months ago
    Selective Phrase Pair Extraction for Improved Statistical Machine Translation
    Download  www.cs.washington.edu
    Luke S. Zettlemoyer, Robert Moore
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    NAACL
    2007
    68views Computational Linguistics» more  NAACL 2007»
    Discriminative Alignment Training without Annotated Data for Machine Translation
    15 years 1 months ago
    Discriminative Alignment Training without Annotated Data for Machine Translation
    Download  www.computing.dcu.ie
    Patrik Lambert, Rafael E. Banchs, Josep Maria Creg...
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    NAACL
    2007
    103views Computational Linguistics» more  NAACL 2007»
    Detection of Non-Native Sentences Using Machine-Translated Training Data
    15 years 1 months ago
    Detection of Non-Native Sentences Using Machine-Translated Training Data
    Download  www.aclweb.org
    Training statistical models to detect nonnative sentences requires a large corpus of non-native writing samples, which is often not readily available. This paper examines the exte...
    John Lee, Ming Zhou, Xiaohua Liu
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