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    » Semantic Evaluation of Machine Translation
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    NAACL
    2003
    84views Computational Linguistics» more  NAACL 2003»
    Greedy Decoding for Statistical Machine Translation in Almost Linear Time
    13 years 10 months ago
    Greedy Decoding for Statistical Machine Translation in Almost Linear Time
    Download  acl.ldc.upenn.edu
    We present improvements to a greedy decoding algorithm for statistical machine translation that reduce its time complexity from at least cubic (  ¢¡¤£¦¥¨§ when applied na...
    Ulrich Germann
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    COLING
    2000
    138views Computational Linguistics» more  COLING 2000»
    Chart-Based Transfer Rule Application in Machine Translation
    13 years 10 months ago
    Chart-Based Transfer Rule Application in Machine Translation
    Download  acl.ldc.upenn.edu
    35"ansfer-based Machine Translation systems require a procedure for choosing the set; of transfer rules for generating a target language translation from a given source langu...
    Adam Meyers, Michiko Kosaka, Ralph Grishman
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    ANLP
    1997
    111views more  ANLP 1997»
    An Improvement in the Selection Process of Machine Translation Using Inductive Learning with Genetic Algorithms
    13 years 10 months ago
    An Improvement in the Selection Process of Machine Translation Using Inductive Learning with Genetic Algorithms
    Download  www.mt-archive.info
    We proposed a method of machine translation using inductive learning with genetic algorithms, and confirmed the effectiveness of applying genetic algorithms. However, the system b...
    Hiroshi Echizen-ya, Kenji Araki, Yoshikazu Miyanag...
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    ACL
    2012
    227views Computational Linguistics» more  ACL 2012»
    Combining Word-Level and Character-Level Models for Machine Translation Between Closely-Related Languages
    11 years 11 months ago
    Combining Word-Level and Character-Level Models for Machine Translation Between Closely-Related Languages
    Download  aclweb.org
    We propose several techniques for improving statistical machine translation between closely-related languages with scarce resources. We use character-level translation trained on ...
    Preslav Nakov, Jörg Tiedemann
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    EMNLP
    2006
    107views Natural Language Processing» more  EMNLP 2006»
    Re-evaluating Machine Translation Results with Paraphrase Support
    13 years 10 months ago
    Re-evaluating Machine Translation Results with Paraphrase Support
    Download  www.isi.edu
    In this paper, we present ParaEval, an automatic evaluation framework that uses paraphrases to improve the quality of machine translation evaluations. Previous work has focused on...
    Liang Zhou, Chin-Yew Lin, Eduard H. Hovy
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