Minimum Bayes-Risk word alignments of bilingual texts

Authors:
Shankar Kumar;William Byrne
Affiliations:
Johns Hopkins University, Baltimore, MD;Johns Hopkins University, Baltimore, MD
Venue:
EMNLP '02 Proceedings of the ACL-02 conference on Empirical methods in natural language processing - Volume 10
Year:
2002

Citing 8
Cited 9

A design principles of a weighted finite-state transducer library

Theoretical Computer Science - Special issue on implementing automata
Experiments with the Use of Syntactic Analysis in Information Retrieval

NLDB'01 Proceedings of the 6th International Workshop on Applications of Natural Language to Information Systems
Head-driven statistical models for natural language parsing

Head-driven statistical models for natural language parsing
The mathematics of statistical machine translation: parameter estimation

Computational Linguistics - Special issue on using large corpora: II
A comparison of alignment models for statistical machine translation

COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 2
Evaluating translational correspondence using annotation projection

ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Improved statistical alignment models

ACL '00 Proceedings of the 38th Annual Meeting on Association for Computational Linguistics
Corpus-based comprehensive and diagnostic MT evaluation: initial Arabic, Chinese, French, and Spanish results

HLT '02 Proceedings of the second international conference on Human Language Technology Research

Minimum error rate training in statistical machine translation

ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
A weighted finite state transducer translation template model for statistical machine translation

Natural Language Engineering
Automatic generation of Japanese–English bilingual thesauri based on bilingual corpora

Journal of the American Society for Information Science and Technology - Research Articles
Sequential labeling with latent variables: an exact inference algorithm and its efficient approximation

EACL '09 Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics
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
Learning tractable word alignment models with complex constraints

Computational Linguistics
Minimum bayes risk decoding with enlarged hypothesis space in system combination

CICLing'12 Proceedings of the 13th international conference on Computational Linguistics and Intelligent Text Processing - Volume Part II
Maximum-entropy word alignment and posterior-based phrase extraction for machine translation

Machine Translation

Quantified Score

Hi-index	0.00

Visualization

Abstract

We present Minimum Bayes-Risk word alignment for machine translation. This statistical, model-based approach attempts to minimize the expected risk of alignment errors under loss functions that measure alignment quality. We describe various 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.