A Comparative Study on Compositional Translation Estimation using a Domain/Topic-Specific Corpus collected from the Web

Abstract

This paper studies issues related to the compilation of a bilingual lexicon for technical terms. In the task of estimating bilingual term correspondences of technical terms, it is usually rather difficult to find an existing corpus for the domain of such technical terms. In this paper, we adopt 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 employ a compositional translation estimation technique. This paper focuses on quantitatively comparing variations of the components in the scoring functions of compositional translation estimation. Through experimental evaluation, we show that the domain/topic-specific corpus contributes toward improving the performance of the compositional translation estimation.