ACL Anthology Network (All About NLP) (beta) The Association Of Computational Linguistics Anthology Network |
ACL ID | W02-1012 |
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Title | Extentions To HMM-Based Statistical Word Alignment Models |
Venue | Conference on Empirical Methods in Natural Language Processing |
Session | Main Conference |
Year | 2002 |
Authors |
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This paper describes improved HMM-based word level alignment models for statistical machine translation. We present a method for using part of speech tag information to improve alignment accu- racy, and an approach to modeling fertility and cor- respondence to the empty word in an HMM align- ment model. We present accuracy results from eval- uating Viterbi alignments against human-judged alignments on the Canadian Hansards corpus, as compared to a bigram HMM, and IBM model 4. The results show up to 16% alignment error reduc- tion.