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    IALP
    2009
    203views Natural Language Processing» more  IALP 2009»
    Improved Reordering Rules for Hierarchical Phrase-Based Translation
    13 years 5 months ago
    Improved Reordering Rules for Hierarchical Phrase-Based Translation
    Download  mtgroup.ict.ac.cn
    Hierarchical phrase-based translation model has been proven to be a simple and powerful machine translation model. However, due to the computational complexity constraints, the ext...
    Shu Cai, Yajuan Lü, Qun Liu
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    ACL
    2006
    117views Computational Linguistics» more  ACL 2006»
    Extracting Parallel Sub-Sentential Fragments from Non-Parallel Corpora
    13 years 9 months ago
    Extracting Parallel Sub-Sentential Fragments from Non-Parallel Corpora
    Download  acl.ldc.upenn.edu
    We present a novel method for extracting parallel sub-sentential fragments from comparable, non-parallel bilingual corpora. By analyzing potentially similar sentence pairs using a...
    Dragos Stefan Munteanu, Daniel Marcu
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    ACL
    2012
    181views Computational Linguistics» more  ACL 2012»
    Deciphering Foreign Language by Combining Language Models and Context Vectors
    11 years 10 months ago
    Deciphering Foreign Language by Combining Language Models and Context Vectors
    Download  www-i6.informatik.rwth-aachen.de
    In this paper we show how to train statistical machine translation systems on reallife tasks using only non-parallel monolingual data from two languages. We present a modificatio...
    Malte Nuhn, Arne Mauser, Hermann Ney
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    COLING
    2010
    110views Computational Linguistics» more  COLING 2010»
    Learning Phrase Boundaries for Hierarchical Phrase-based Translation
    13 years 2 months ago
    Learning Phrase Boundaries for Hierarchical Phrase-based Translation
    Download  www.aclweb.org
    Hierarchical phrase-based models provide a powerful mechanism to capture non-local phrase reorderings for statistical machine translation (SMT). However, many phrase reorderings a...
    Zhongjun He, Yao Meng, Hao Yu
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    EMNLP
    2009
    123views Natural Language Processing» more  EMNLP 2009»
    First- and Second-Order Expectation Semirings with Applications to Minimum-Risk Training on Translation Forests
    13 years 5 months ago
    First- and Second-Order Expectation Semirings with Applications to Minimum-Risk Training on Translation Forests
    Download  cs.jhu.edu
    Many statistical translation models can be regarded as weighted logical deduction. Under this paradigm, we use weights from the expectation semiring (Eisner, 2002), to compute fir...
    Zhifei Li, Jason Eisner
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