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.
CITATION STYLE
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
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