Normalizing German and English inflectional morphology to improve statistical word alignment (2004)
| Venue: | Proceedings of the Conference of the Association for Machine Translation in the Americas |
| Citations: | 8 - 1 self |
BibTeX
@INPROCEEDINGS{Corston-oliver04normalizinggerman,
author = {Simon Corston-oliver and Michael Gamon},
title = {Normalizing German and English inflectional morphology to improve statistical word alignment},
booktitle = {Proceedings of the Conference of the Association for Machine Translation in the Americas},
year = {2004},
pages = {48--57},
publisher = {Springer Verlag}
}
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Abstract
Abstract. German has a richer system of inflectional morphology than English, which causes problems for current approaches to statistical word alignment. Using Giza++ as a reference implementation of the IBM Model 1, an HMMbased alignment and IBM Model 4, we measure the impact of normalizing inflectional morphology on German-English statistical word alignment. We demonstrate that normalizing inflectional morphology improves the perplexity of models and reduces alignment errors. 1
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