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    ACL
    2011
    188views Computational Linguistics» more  ACL 2011»
    An exponential translation model for target language morphology
    12 years 8 months ago
    An exponential translation model for target language morphology
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    Michael Subotin
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    ACL
    2011
    273views Computational Linguistics» more  ACL 2011»
    Combining Morpheme-based Machine Translation with Post-processing Morpheme Prediction
    12 years 8 months ago
    Combining Morpheme-based Machine Translation with Post-processing Morpheme Prediction
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    This paper extends the training and tuning regime for phrase-based statistical machine translation to obtain fluent translations into morphologically complex languages (we build ...
    Ann Clifton, Anoop Sarkar
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    ACL
    2007
    151views Computational Linguistics» more  ACL 2007»
    Generating Complex Morphology for Machine Translation
    13 years 6 months ago
    Generating Complex Morphology for Machine Translation
    Download  www.mt-archive.info
    We present a novel method for predicting inflected word forms for generating morphologically rich languages in machine translation. We utilize a rich set of syntactic and morphol...
    Einat Minkov, Kristina Toutanova, Hisami Suzuki
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    ACL
    2007
    182views Computational Linguistics» more  ACL 2007»
    Machine Translation between Turkic Languages
    13 years 6 months ago
    Machine Translation between Turkic Languages
    Download  www.mt-archive.info
    We present an approach to MT between Turkic languages and present results from an implementation of a MT system from Turkmen to Turkish. Our approach relies on ambiguous lexical a...
    A. Cüneyd Tantug, Esref Adali, Kemal Oflazer
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    ACL
    2008
    175views Computational Linguistics» more  ACL 2008»
    Applying Morphology Generation Models to Machine Translation
    13 years 6 months ago
    Applying Morphology Generation Models to Machine Translation
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    We improve the quality of statistical machine translation (SMT) by applying models that predict word forms from their stems using extensive morphological and syntactic information...
    Kristina Toutanova, Hisami Suzuki, Achim Ruopp
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