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» Syntax-based reordering for statistical machine translation
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JMLR
2011
187views more  JMLR 2011»
13 years 1 months ago
Exploitation of Machine Learning Techniques in Modelling Phrase Movements for Machine Translation
We propose a distance phrase reordering model (DPR) for statistical machine translation (SMT), where the aim is to learn the grammatical rules and context dependent changes using ...
Yizhao Ni, Craig Saunders, Sándor Szedm&aac...
EMNLP
2007
13 years 7 months ago
Phrase Reordering Model Integrating Syntactic Knowledge for SMT
Reordering model is important for the statistical machine translation (SMT). Current phrase-based SMT technologies are good at capturing local reordering but not global reordering...
Dongdong Zhang, Mu Li, Chi-Ho Li, Ming Zhou
EMNLP
2011
12 years 6 months ago
Training a Parser for Machine Translation Reordering
We propose a simple training regime that can improve the extrinsic performance of a parser, given only a corpus of sentences and a way to automatically evaluate the extrinsic qual...
Jason Katz-Brown, Slav Petrov, Ryan T. McDonald, F...
ACL
2003
13 years 7 months ago
Chunk-Based Statistical Translation
This paper describes an alternative translation model based on a text chunk under the framework of statistical machine translation. The translation model suggested here first per...
Taro Watanabe, Eiichiro Sumita, Hiroshi G. Okuno
ACL
2012
11 years 8 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