Paper: High-Performance Bilingual Text Alignment Using Statistical And Dictionary Information

ACL ID P96-1018
Title High-Performance Bilingual Text Alignment Using Statistical And Dictionary Information
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 1996
Authors

This paper describes an accurate and robust text alignment system for struc- turally different languages. Among structurally different languages such as Japanese and English, there is a limitation on the amount of word correspondences that can be statistically acquired. The proposed method makes use of two kinds of word correspondences in aligning bilin- gual texts. One is a bilingual dictionary of general use. The other is the word corre- spondences that are statistically acquired in the alignment process. Our method gradually determines sentence pairs (an- chors) that correspond to each other by re- laxing parameters. The method, by com- bining two kinds of word correspondences, achieves adequate word correspondences for complete alignment. As a result, texts of various length and of var...