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    ACL
    2008
    154views Computational Linguistics» more  ACL 2008»
    Soft Syntactic Constraints for Hierarchical Phrased-Based Translation
    14 years 11 months ago
    Soft Syntactic Constraints for Hierarchical Phrased-Based Translation
    Download  www.aclweb.org
    In adding syntax to statistical MT, there is a tradeoff between taking advantage of linguistic analysis, versus allowing the model to exploit linguistically unmotivated mappings l...
    Yuval Marton, Philip Resnik
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    ACL
    2007
    151views Computational Linguistics» more  ACL 2007»
    Generating Complex Morphology for Machine Translation
    14 years 11 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
    2008
    175views Computational Linguistics» more  ACL 2008»
    Applying Morphology Generation Models to Machine Translation
    14 years 11 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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    ACL
    2008
    112views Computational Linguistics» more  ACL 2008»
    Lexicalized Phonotactic Word Segmentation
    14 years 11 months ago
    Lexicalized Phonotactic Word Segmentation
    Download  www.cs.uiuc.edu
    This paper presents a new unsupervised algorithm (WordEnds) for inferring word boundaries from transcribed adult conversations. Phone ngrams before and after observed pauses are u...
    Margaret M. Fleck
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    ACL
    2008
    138views Computational Linguistics» more  ACL 2008»
    Beyond Log-Linear Models: Boosted Minimum Error Rate Training for N-best Re-ranking
    14 years 11 months ago
    Beyond Log-Linear Models: Boosted Minimum Error Rate Training for N-best Re-ranking
    Download  ssli.ee.washington.edu
    Current re-ranking algorithms for machine translation rely on log-linear models, which have the potential problem of underfitting the training data. We present BoostedMERT, a nove...
    Kevin Duh, Katrin Kirchhoff
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