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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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    ACL
    2012
    227views Computational Linguistics» more  ACL 2012»
    Combining Word-Level and Character-Level Models for Machine Translation Between Closely-Related Languages
    12 years 12 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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    NAACL
    2007
    148views Computational Linguistics» more  NAACL 2007»
    Analysis and System Combination of Phrase- and N-Gram-Based Statistical Machine Translation Systems
    14 years 11 months ago
    Analysis and System Combination of Phrase- and N-Gram-Based Statistical Machine Translation Systems
    Download  www.mt-archive.info
    In the framework of the Tc-Star project, we analyze and propose a combination of two Statistical Machine Translation systems: a phrase-based and an N-gram-based one. The exhaustiv...
    Marta R. Costa-Jussà, Josep Maria Crego, Da...
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    98
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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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    108
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    ACL
    2012
    219views Computational Linguistics» more  ACL 2012»
    Combining Coherence Models and Machine Translation Evaluation Metrics for Summarization Evaluation
    12 years 12 months 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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