Models of translational equivalence among words
Computational Linguistics
Statistical phrase-based translation
NAACL '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1
A phrase-based, joint probability model for statistical machine translation
EMNLP '02 Proceedings of the ACL-02 conference on Empirical methods in natural language processing - Volume 10
An evaluation exercise for word alignment
HLT-NAACL-PARALLEL '03 Proceedings of the HLT-NAACL 2003 Workshop on Building and using parallel texts: data driven machine translation and beyond - Volume 3
Improved discriminative bilingual word alignment
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Phrasetable smoothing for statistical machine translation
EMNLP '06 Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing
Why generative phrase models underperform surface heuristics
StatMT '06 Proceedings of the Workshop on Statistical Machine Translation
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Phrase-based statistical machine translation systems depend heavily on the knowledge represented in their phrase translation tables. However, the phrase pairs included in these tables are typically selected using simple heuristics that potentially leave much room for improvement. In this paper, we present a technique for selecting the phrase pairs to include in phrase translation tables based on their estimated quality according to a translation model. This method not only reduces the size of the phrase translation table, but also improves translation quality as measured by the BLEU metric.