Title

Automatic Bilingual Lexicon Acquisition Using Random Indexing of Aligned Bilingual Data

Author(s)

Magnus Sahlgren

Swedish Institute of Computer Science, SICS

Session

P15-T

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.

Keyword(s)

Terminology, lexicon acquisition, vector space model, random indexing.

Language(s) English, German
Full Paper

58.pdf