@inproceedings{cherry2003a,
author = {Cherry, Colin and Lin, Dekang},
title = {A Probability Model to Improve Word Alignment},
booktitle = {Proceedings of the 41st Annual Meeting of the Association for Computational Linguistics},
year = {2003},
month = {July},
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.},
publisher = {Association for Computational Linguistics},
url = {http://approjects.co.za/?big=en-us/research/publication/a-probability-model-to-improve-word-alignment/},
pages = {88-95},
edition = {Proceedings of the 41st Annual Meeting of the Association for Computational Linguistics},
}