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    COLING
    1996
    108views Computational Linguistics» more  COLING 1996»
    Example-Based Machine Translation in the Pangloss System
    14 years 11 months ago
    Example-Based Machine Translation in the Pangloss System
    Download  acl.ldc.upenn.edu
    The Pangloss Example-Based Machine Translation engine (I'anEI3MT) l is a translation system reql,iring essentially no knowledge of the structure of a language, merely a large...
    Ralf D. Brown
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    LREC
    2010
    178views Education» more  LREC 2010»
    Data Issues in English-to-Hindi Machine Translation
    14 years 11 months ago
    Data Issues in English-to-Hindi Machine Translation
    Download  ufal.mff.cuni.cz
    Statistical machine translation to morphologically richer languages is a challenging task and more so if the source and target languages differ in word order. Current state-of-the...
    Ondrej Bojar, Pavel Stranák, Daniel Zeman
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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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    ACL
    1998
    137views Computational Linguistics» more  ACL 1998»
    Automatically Creating Bilingual Lexicons for Machine Translation from Bilingual Text
    14 years 11 months ago
    Automatically Creating Bilingual Lexicons for Machine Translation from Bilingual Text
    Download  www.aclweb.org
    A method is presented for automatically augmenting the bilingual lexicon of an existing Machine Translation system, by extracting bilingual entries from aligned bilingual text. Th...
    Davide Turcato
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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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