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    ACL
    2008
    195views Computational Linguistics» more  ACL 2008»
    Enriching Morphologically Poor Languages for Statistical Machine Translation
    13 years 6 months ago
    Enriching Morphologically Poor Languages for Statistical Machine Translation
    Download  aclweb.org
    We address the problem of translating from morphologically poor to morphologically rich languages by adding per-word linguistic information to the source language. We use the synt...
    Eleftherios Avramidis, Philipp Koehn
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    COLING
    2010
    138views Computational Linguistics» more  COLING 2010»
    A Novel Reordering Model Based on Multi-layer Phrase for Statistical Machine Translation
    13 years 9 days ago
    A Novel Reordering Model Based on Multi-layer Phrase for Statistical Machine Translation
    Download  nlpr-web.ia.ac.cn
    Yanqing He, Yu Zhou, Chengqing Zong, Huilin Wang
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    COLING
    2010
    85views Computational Linguistics» more  COLING 2010»
    Fluency Constraints for Minimum Bayes-Risk Decoding of Statistical Machine Translation Lattices
    13 years 9 days ago
    Fluency Constraints for Minimum Bayes-Risk Decoding of Statistical Machine Translation Lattices
    Download  mi.eng.cam.ac.uk
    Graeme W. Blackwood, Adrià de Gispert, Will...
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    EMNLP
    2007
    110views Natural Language Processing» more  EMNLP 2007»
    Factored Translation Models
    13 years 6 months ago
    Factored Translation Models
    Download  www.iccs.inf.ed.ac.uk
    We present an extension of phrase-based statistical machine translation models that enables the straight-forward integration of additional annotation at the word-level — may it ...
    Philipp Koehn, Hieu Hoang
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    ACL
    2010
    140views Computational Linguistics» more  ACL 2010»
    Error Detection for Statistical Machine Translation Using Linguistic Features
    13 years 3 months ago
    Error Detection for Statistical Machine Translation Using Linguistic Features
    Download  www1.i2r.a-star.edu.sg
    Automatic error detection is desired in the post-processing to improve machine translation quality. The previous work is largely based on confidence estimation using system-based ...
    Deyi Xiong, Min Zhang, Haizhou Li
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