摘要：AbstractIn the task of acquiring technical term translation equivalent pairs, we consider situations where a technical term is observed in many parallel patent sentences and is translated into many translation equivalents. This paper especially studies the issue of identifying synonymous translation equivalent pairs of technical terms. First, we collect candidates of synonymous translation equivalent pairs from parallel patent sentences. Then, we analyze features for identifying synonymous translation equivalent pairs. Finally, we apply the Support Vector Machines (SVMs) to the task of identifying bilingual synonymous technical terms, and achieve the performance of almost 98% precision and over 40% F-measure.
关键词：Bilingual Lexicon Acquisition;Synonyms;Phrase Tables;Statistical Machine Translation;Parallel Corpus
