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» Dependency Forest for Statistical Machine Translation
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ICMLC
2010
Springer
14 years 8 months ago
Approaches to improving corpus quality for statistical machine translation
: The performance of a statistical machine translation (SMT) system heavily depends on the quantity and quality of the bilingual language resource. However, the pervious work mainl...
Peng Liu, Yu Zhou, Chengqing Zong
COLING
2010
14 years 4 months ago
Adaptive Development Data Selection for Log-linear Model in Statistical Machine Translation
This paper addresses the problem of dynamic model parameter selection for loglinear model based statistical machine translation (SMT) systems. In this work, we propose a principle...
Mu Li, Yinggong Zhao, Dongdong Zhang, Ming Zhou
72
Voted
EMNLP
2009
14 years 7 months ago
Extending Statistical Machine Translation with Discriminative and Trigger-Based Lexicon Models
In this work, we propose two extensions of standard word lexicons in statistical machine translation: A discriminative word lexicon that uses sentence-level source information to ...
Arne Mauser, Sasa Hasan, Hermann Ney
100
Voted
EMNLP
2009
14 years 7 months ago
Effective Use of Linguistic and Contextual Information for Statistical Machine Translation
Current methods of using lexical features in machine translation have difficulty in scaling up to realistic MT tasks due to a prohibitively large number of parameters involved. In...
Libin Shen, Jinxi Xu, Bing Zhang, Spyros Matsoukas...
ACL
2008
14 years 11 months ago
Cohesive Phrase-Based Decoding for Statistical Machine Translation
Phrase-based decoding produces state-of-theart translations with no regard for syntax. We add syntax to this process with a cohesion constraint based on a dependency tree for the ...
Colin Cherry