Automatic Bilingual Lexicon Acquisition Using Random Indexing of Aligned Bilingual Data

Proceedings of the Fourth International Conference on Language Resources and Evaluation (LREC 2004)

Abstract

This paper presents a very simple and effective approach to automatic bilingual lexicon acquisition. The approach is cooccurrence-based, and uses the Random Indexing vector space methodology applied to aligned bilingual data. The approach is simple, efficient and scalable, and generate promising results when compared to a manually compiled lexicon. The paper also discusses some of the methodological problems with the prefered evaluation procedure.