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» Fast Consensus Decoding over Translation Forests
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EMNLP
2009
10 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
ACL
2009
10 years 11 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
11 years 3 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
10 years 5 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
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