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» Fast Consensus Decoding over Translation Forests
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ACL
2009
14 years 10 months ago
Fast Consensus Decoding over Translation Forests
John DeNero, David Chiang, Kevin Knight
EMNLP
2009
14 years 10 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
ACL
2009
14 years 10 months ago
Improving Tree-to-Tree Translation with Packed Forests
Current tree-to-tree models suffer from parsing errors as they usually use only 1best parses for rule extraction and decoding. We instead propose a forest-based tree-to-tree model...
Yang Liu, Yajuan Lü, Qun Liu
ACL
2007
15 years 1 months ago
Forest Rescoring: Faster Decoding with Integrated Language Models
Efficient decoding has been a fundamental problem in machine translation, especially with an integrated language model which is essential for achieving good translation quality. ...
Liang Huang, David Chiang
ACL
2011
14 years 4 months ago
Binarized Forest to String Translation
Tree-to-string translation is syntax-aware and efficient but sensitive to parsing errors. Forestto-string translation approaches mitigate the risk of propagating parser errors in...
Hao Zhang, Licheng Fang, Peng Xu, Xiaoyun Wu