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Home > Publications > Towards a Simple and Accurate Statistical Approach to Learning Translation Relationships among Words
Towards a Simple and Accurate Statistical Approach to Learning Translation Relationships among Words

We report on a project to derive word translation relationships automatically from parallel corpora. Our effort is distinguished by the use of simpler, faster models than those used in previous high-accuracy approaches. Our methods achieve accuracy on single-word translations that seems comparable to any work previously reported, up to nearly 60% coverage of word types, and they perform particularly well on a class of multi-word compounds of special interest to our translation effort.

word-assoc.pdf
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Publisher: Association for Computational Linguistics
All copyrights reserved by ACL 2001.

Details

Type: Inproceedings
URL: http://www.aclweb.org/