A statistical approach to machine translation
Computational Linguistics
Discriminative training and maximum entropy models for statistical machine translation
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
BLEU: a method for automatic evaluation of machine translation
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Minimum error rate training in statistical machine translation
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
Lattice Minimum Bayes-Risk decoding for statistical machine translation
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Fast consensus decoding over translation forests
ACL '09 Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP: Volume 2 - Volume 2
Training phrase translation models with leaving-one-out
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
Minimum Bayes-risk system combination
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
DFKI's SMT system for WMT 2012
WMT '12 Proceedings of the Seventh Workshop on Statistical Machine Translation
Evaluating indirect strategies for Chinese-Spanish statistical machine translation
Journal of Artificial Intelligence Research
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We present a Minimum Bayes Risk (MBR) decoder for statistical machine translation. The approach aims to minimize the expected loss of translation errors with regard to the BLEU score. We show that MBR decoding on N-best lists leads to an improvement of translation quality. We report the performance of the MBR decoder on four different tasks: the TC-STAR EPPS Spanish-English task 2006, the NIST Chinese-English task 2005 and the GALE Arabic-English and Chinese-English task 2006. The absolute improvement of the BLEU score is between 0.2% for the TC-STAR task and 1.1% for the GALE Chinese-English task.