Paper: Word Alignment with Synonym Regularization

ACL ID P10-2025
Title Word Alignment with Synonym Regularization
Venue Annual Meeting of the Association of Computational Linguistics
Session Short Paper
Year 2010
Authors

We present a novel framework for word alignment that incorporates synonym knowledge collected from monolingual linguistic resources in a bilingual proba- bilistic model. Synonym information is helpful for word alignment because we can expect a synonym to correspond to the same word in a different language. We design a generative model for word alignment that uses synonym information as a regularization term. The experimental results show that our proposed method significantly improves word alignment quality.