Paper: Lexical Transfer Using A Vector-Space Model

ACL ID P00-1054
Title Lexical Transfer Using A Vector-Space Model
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2000
Authors
  • Eiichiro Sumita (ATR Spoken Language Translation Research Laboratories, Kyoto Japan)

Building a bilingual dictionary for transfer in a machine translation system is conventionally done by hand and is very time-consuming. In order to overcome this bottleneck, we propose a new mechanism for lexical transfer, which is simple and suitable for learning from bilingual corpora. It exploits a vector-space model developed in information retrieval research. We present a preliminary result from our computational experiment.