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    ACL
    2009
    162views Computational Linguistics» more  ACL 2009»
    A Comparative Study of Hypothesis Alignment and its Improvement for Machine Translation System Combination
    13 years 2 months ago
    A Comparative Study of Hypothesis Alignment and its Improvement for Machine Translation System Combination
    Download  aclweb.org
    Recently confusion network decoding shows the best performance in combining outputs from multiple machine translation (MT) systems. However, overcoming different word orders prese...
    Boxing Chen, Min Zhang, Haizhou Li, AiTi Aw
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    COLING
    2008
    134views Computational Linguistics» more  COLING 2008»
    Improving Alignments for Better Confusion Networks for Combining Machine Translation Systems
    13 years 6 months ago
    Improving Alignments for Better Confusion Networks for Combining Machine Translation Systems
    Download  www.speech.sri.com
    The state-of-the-art system combination method for machine translation (MT) is the word-based combination using confusion networks. One of the crucial steps in confusion network d...
    Necip Fazil Ayan, Jing Zheng, Wen Wang
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    ACL
    2008
    108views Computational Linguistics» more  ACL 2008»
    Machine Translation System Combination using ITG-based Alignments
    13 years 6 months ago
    Machine Translation System Combination using ITG-based Alignments
    Download  www.clsp.jhu.edu
    Given several systems' automatic translations of the same sentence, we show how to combine them into a confusion network, whose various paths represent composite translations...
    Damianos Karakos, Jason Eisner, Sanjeev Khudanpur,...
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    EMNLP
    2008
    121views Natural Language Processing» more  EMNLP 2008»
    Indirect-HMM-based Hypothesis Alignment for Combining Outputs from Machine Translation Systems
    13 years 6 months ago
    Indirect-HMM-based Hypothesis Alignment for Combining Outputs from Machine Translation Systems
    Download  research.microsoft.com
    This paper presents a new hypothesis alignment method for combining outputs of multiple machine translation (MT) systems. An indirect hidden Markov model (IHMM) is proposed to add...
    Xiaodong He, Mei Yang, Jianfeng Gao, Patrick Nguye...
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    INTERSPEECH
    2010
    118views Signal Processing» more  INTERSPEECH 2010»
    Combining many alignments for speech to speech translation
    12 years 11 months ago
    Combining many alignments for speech to speech translation
    Download  www1.cs.columbia.edu
    Alignment combination (symmetrization) has been shown to be useful for improving Machine Translation (MT) models. Most existing alignment combination techniques are based on heuri...
    Sameer Maskey, Steven J. Rennie, Bowen Zhou
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