Paper Info
Title
A best-first alignment algorithm for automatic extraction of transfer mappings from bilingual corpora
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.
Year
DOI
Venue
2001
10.3115/1118037.1118043
DDMMT@ACL
Keywords
Field
DocType
translation system,best-first alignment algorithm,bilingual corpus,transfer mapping,automatic extraction,high quality mapping,accurate alignment,sufficient context,sentence pair,best-first strategy,small alignment grammar
Computer science,Algorithm,Grammar,Speech recognition,Natural language processing,Artificial intelligence,Sentence
Conference
Volume
Citations 
PageRank 
W01-14
69
5.91
References 
Authors
12
2
Name
Order
Citations
PageRank
Arul Menezes147029.57
Stephen D. Richardson228239.22