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» Regenerating Hypotheses for Statistical Machine Translation
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COLING
2008
14 years 11 months ago
Regenerating Hypotheses for Statistical Machine Translation
This paper studies three techniques that improve the quality of N-best hypotheses through additional regeneration process. Unlike the multi-system consensus approach where multipl...
Boxing Chen, Min Zhang, AiTi Aw, Haizhou Li
ACL
2012
13 years 2 days ago
Akamon: An Open Source Toolkit for Tree/Forest-Based Statistical Machine Translation
We describe Akamon, an open source toolkit for tree and forest-based statistical machine translation (Liu et al., 2006; Mi et al., 2008; Mi and Huang, 2008). Akamon implements all...
Xianchao Wu, Takuya Matsuzaki, Jun-ichi Tsujii
ACL
2008
14 years 11 months ago
Exploiting N-best Hypotheses for SMT Self-Enhancement
Word and n-gram posterior probabilities estimated on N-best hypotheses have been used to improve the performance of statistical machine translation (SMT) in a rescoring framework....
Boxing Chen, Min Zhang, AiTi Aw, Haizhou Li
81
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COLING
2002
14 years 9 months ago
Bidirectional Decoding for Statistical Machine Translation
This paper describes the right-to-left decoding method, which translates an input string by generating in right-to-left direction. In addition, presented is the bidirectional deco...
Taro Watanabe, Eiichiro Sumita
EMNLP
2004
14 years 11 months ago
Efficient Decoding for Statistical Machine Translation with a Fully Expanded WFST Model
This paper proposes a novel method to compile statistical models for machine translation to achieve efficient decoding. In our method, each statistical submodel is represented by ...
Hajime Tsukada, Masaaki Nagata