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ACL
2012
12 years 24 days ago
Post-ordering by Parsing for Japanese-English Statistical Machine Translation
Reordering is a difficult task in translating between widely different languages such as Japanese and English. We employ the postordering framework proposed by (Sudoh et al., 201...
Isao Goto, Masao Utiyama, Eiichiro Sumita
EMNLP
2008
13 years 11 months ago
Lattice Minimum Bayes-Risk Decoding for Statistical Machine Translation
We present Minimum Bayes-Risk (MBR) decoding over translation lattices that compactly encode a huge number of translation hypotheses. We describe conditions on the loss function t...
Roy Tromble, Shankar Kumar, Franz Josef Och, Wolfg...
ACL
2007
13 years 12 months ago
A Probabilistic Approach to Syntax-based Reordering for Statistical Machine Translation
Inspired by previous preprocessing approaches to SMT, this paper proposes a novel, probabilistic approach to reordering which combines the merits of syntax and phrase-based SMT. G...
Chi-Ho Li, Minghui Li, Dongdong Zhang, Mu Li, Ming...
ACL
2006
13 years 11 months ago
Tree-to-String Alignment Template for Statistical Machine Translation
We present a novel translation model based on tree-to-string alignment template (TAT) which describes the alignment between a source parse tree and a target string. A TAT is capab...
Yang Liu, Qun Liu, Shouxun Lin
COLING
2008
13 years 12 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