Paper: Minimum Bayes-Risk Word Alignments Of Bilingual Texts

ACL ID W02-1019
Title Minimum Bayes-Risk Word Alignments Of Bilingual Texts
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2002
Authors

We present Minimum Bayes-Risk word alignment for machine translation. This statistical, model-based approach attempts to minimize the expected risk of align- ment errors under loss functions that mea- sure alignment quality. We describe var- ious loss functions, including some that incorporate linguistic analysis as can be obtained from parse trees, and show that these approaches can improve alignments of the English-French Hansards.