Journal of Natural Language Processing
Online ISSN : 2185-8314
Print ISSN : 1340-7619
ISSN-L : 1340-7619
Phrase Alignment for Example-Based Machine Translation
EIJI ARAMAKISADAO KUROHASHISATOSHI SATOHIDEO WATANABE
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2003 Volume 10 Issue 5 Pages 75-92

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Abstract
Example-based machine translation requires a large set of translation patterns. In this paper, we propose a phrase alignment method that aims to acquire translation patterns from bilingual sentense pairs. Most of previous methods employ word alingnment for phrase alingnment. This method uses the basic-phrase as the unit of phrase alingnment, and estimates alignment between basic-phrases. The experimental results show that this method performs well.
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