Automatic Bilingual Lexicon Acquisition Using Random Indexing of Aligned Bilingual Data
Magnus Sahlgren · 2004
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.