A probability model to improve word alignment

64Citations
Citations of this article
98Readers
Mendeley users who have this article in their library.

Abstract

Word alignment plays a crucial role in statistical machine translation. Word-aligned corpora have been found to be an excellent source of translation-related knowledge. We present a statistical model for computing the probability of an alignment given a sentence pair. This model allows easy integration of context-specific features. Our experiments show that this model can be an effective tool for improving an existing word alignment.

Cite

CITATION STYLE

APA

Cherry, C., & Lin, D. (2003). A probability model to improve word alignment. In Proceedings of the Annual Meeting of the Association for Computational Linguistics (Vol. 2003-July). Association for Computational Linguistics (ACL). https://doi.org/10.3115/1075096.1075108

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free