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» Fast and optimal decoding for machine translation
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112
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ACL
2012
13 years 3 months ago
NiuTrans: An Open Source Toolkit for Phrase-based and Syntax-based Machine Translation
We present a new open source toolkit for phrase-based and syntax-based machine translation. The toolkit supports several state-of-the-art models developed in statistical machine t...
Tong Xiao, Jingbo Zhu, Hao Zhang, Qiang Li
103
Voted
EMNLP
2009
14 years 11 months ago
Joint Optimization for Machine Translation System Combination
System combination has emerged as a powerful method for machine translation (MT). This paper pursues a joint optimization strategy for combining outputs from multiple MT systems, ...
Xiaodong He, Kristina Toutanova
98
Voted
EMNLP
2009
14 years 11 months ago
Consensus Training for Consensus Decoding in Machine Translation
We propose a novel objective function for discriminatively tuning log-linear machine translation models. Our objective explicitly optimizes the BLEU score of expected n-gram count...
Adam Pauls, John DeNero, Dan Klein
129
Voted
ACL
2010
14 years 11 months ago
Jointly Optimizing a Two-Step Conditional Random Field Model for Machine Transliteration and Its Fast Decoding Algorithm
This paper presents a joint optimization method of a two-step conditional random field (CRF) model for machine transliteration and a fast decoding algorithm for the proposed metho...
Dong Yang, Paul R. Dixon, Sadaoki Furui
87
Voted
ACL
2007
15 years 2 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...