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    NAACL
    2010
    140views Computational Linguistics» more  NAACL 2010»
    Model Combination for Machine Translation
    14 years 7 months ago
    Model Combination for Machine Translation
    Download  www.eecs.berkeley.edu
    Machine translation benefits from two types of decoding techniques: consensus decoding over multiple hypotheses under a single model and system combination over hypotheses from di...
    John DeNero, Shankar Kumar, Ciprian Chelba, Franz ...
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    ACL
    2012
    261views Computational Linguistics» more  ACL 2012»
    A Topic Similarity Model for Hierarchical Phrase-based Translation
    13 years 1 days ago
    A Topic Similarity Model for Hierarchical Phrase-based Translation
    Download  aclweb.org
    Previous work using topic model for statistical machine translation (SMT) explore topic information at the word level. However, SMT has been advanced from word-based paradigm to p...
    Xinyan Xiao, Deyi Xiong, Min Zhang, Qun Liu, Shoux...
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    ACL
    2012
    219views Computational Linguistics» more  ACL 2012»
    Combining Coherence Models and Machine Translation Evaluation Metrics for Summarization Evaluation
    13 years 1 days ago
    Combining Coherence Models and Machine Translation Evaluation Metrics for Summarization Evaluation
    Download  www.comp.nus.edu.sg
    An ideal summarization system should produce summaries that have high content coverage and linguistic quality. Many state-ofthe-art summarization systems focus on content coverage...
    Ziheng Lin, Chang Liu, Hwee Tou Ng, Min-Yen Kan
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    ACL
    2008
    158views Computational Linguistics» more  ACL 2008»
    Combining Source and Target Language Information for Name Tagging of Machine Translation Output
    14 years 11 months ago
    Combining Source and Target Language Information for Name Tagging of Machine Translation Output
    Download  www.aclweb.org
    A Named Entity Recognizer (NER) generally has worse performance on machine translated text, because of the poor syntax of the MT output and other errors in the translation. As som...
    Shasha Liao
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    EACL
    2009
    ACL Anthology
    213views Natural Language Processing» more  EACL 2009»
    N-Gram-Based Statistical Machine Translation versus Syntax Augmented Machine Translation: Comparison and System Combination
    15 years 10 months ago
    N-Gram-Based Statistical Machine Translation versus Syntax Augmented Machine Translation: Comparison and System Combination
    Download  gps-tsc.upc.es
    In this paper we compare and contrast two approaches to Machine Translation (MT): the CMU-UKA Syntax Augmented Machine Translation system (SAMT) and UPC-TALP N-gram-based Statisti...
    José A. R. Fonollosa, Maxim Khalilov
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