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A best-first alignment algorithm for
automatic extraction of transfer mappings
from bilingual corpora
January 1, 2001
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Download Document
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BibTex
Authors

Arul Menezes

Stephen D. Richardson
Publication Type
Inproceedings
Publisher
Association for Computational Linguistics
All copyrights reserved by ACL 2001.

Abstract

Related Info
Abstract
Translation systems that automatically extract transfer mappings (rules or examples) from
bilingual corpora have been hampered by the difficulty of achieving accurate alignment and
acquiring high quality mappings. We describe an algorithm that uses a best-first strategy and a
small alignment grammar to significantly improve the quality of the transfer mappings extracted.
For each mapping, frequencies are computed and sufficient context is retained to distinguish
competing mappings during translation. Variants of the algorithm are run against a corpus
containing 200K sentence pairs and evaluated based on the quality of resulting translations.
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