Paper: Bilingual-Dictionary Adaptation To Domains

ACL ID C04-1105
Title Bilingual-Dictionary Adaptation To Domains
Venue International Conference on Computational Linguistics
Session Main Conference
Year 2004
Authors

Two methods using comparable corpora to se- lect translation equivalents appropriate to a do- main were devised and evaluated. The first method ranks translation equivalents of a target word according to similarity of their contexts to that of the target word. The second method ranks translation equivalents according to the ratio of associated words that suggest them. An experiment using the EDR bilingual dictionary together with Wall Street Journal and Nihon Keizai Shimbun corpora proved that the method using the ratio of associated words outperforms the method based on contextual similarity. Namely, in a quantitative evaluation using pseudo words, the maximum F-measure of the former method was 86%, while that of the latter method was 82%.