Paper: Effect of Domain-Specific Corpus in Compositional Translation Estimation for Technical Terms

ACL ID I05-2020
Title Effect of Domain-Specific Corpus in Compositional Translation Estimation for Technical Terms
Venue International Joint Conference on Natural Language Processing
Session poster-demo-tutorial
Year 2005
Authors

This paper studies issues on compiling a bilingual lexicon for technical terms. In the task of estimating bilingual term correspondences of technical terms, it is usually quite difficult to find an exist- ing corpus for the domain of such tech- nical terms. In this paper, we take an approach of collecting a corpus for the domain of such technical terms from the Web. As a method of translation estimation for technical terms, we pro- pose a compositional translation esti- mation technique. Through experimen- tal evaluation, we show that the do- main/topic specific corpus contributes to improving the performance of the compositional translation estimation.