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    ACL
    2009
    139views Computational Linguistics» more  ACL 2009»
    Toward Smaller, Faster, and Better Hierarchical Phrase-based SMT
    14 years 7 months ago
    Toward Smaller, Faster, and Better Hierarchical Phrase-based SMT
    Download  www.aclweb.org
    We investigate the use of Fisher's exact significance test for pruning the translation table of a hierarchical phrase-based statistical machine translation system. In additio...
    Mei Yang, Jing Zheng
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    EMNLP
    2011
    133views Natural Language Processing» more  EMNLP 2011»
    Data-Driven Response Generation in Social Media
    13 years 9 months ago
    Data-Driven Response Generation in Social Media
    Download  www.cs.washington.edu
    We present a data-driven approach to generating responses to Twitter status posts, based on phrase-based Statistical Machine Translation. We find that mapping conversational stim...
    Alan Ritter, Colin Cherry, William B. Dolan
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    LREC
    2010
    150views Education» more  LREC 2010»
    Achieving Domain Specificity in SMT without Overt Siloing
    14 years 11 months ago
    Achieving Domain Specificity in SMT without Overt Siloing
    Download  www.lrec-conf.org
    We examine pooling data as a method for improving Statistical Machine Translation (SMT) quality for narrowly defined domains, such as data for a particular company or public entit...
    William D. Lewis, Chris Wendt, David Bullock
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    EACL
    2009
    ACL Anthology
    74views Natural Language Processing» more  EACL 2009»
    Improvements in Analogical Learning: Application to Translating Multi-Terms of the Medical Domain
    15 years 10 months ago
    Improvements in Analogical Learning: Application to Translating Multi-Terms of the Medical Domain
    Download  www.limsi.fr
    Handling terminology is an important matter in a translation workflow. However, current Machine Translation (MT) systems do not yet propose anything proactive upon tools which ass...
    François Yvon, Philippe Langlais, Pierre Zw...
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    ACL
    2012
    181views Computational Linguistics» more  ACL 2012»
    Deciphering Foreign Language by Combining Language Models and Context Vectors
    13 years 3 days 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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