Automatic Acquisition of Large-Scale Academic Bilingual Parallel Corpus from the Web
Yong Han, Yu Li, Xiaoning He, Muyun Yang, Guohua Lei · 2009
In this paper, we describe a system which automatically acquires large-scale Chinese-English bilingual parallel corpus from China Journals Full-text Database (CJFD), a component of China National Knowledge Infrastructure (CNKI). The system gets large amount of parallel texts with domain information from the existing structured bilingual texts in CJFD, such as Chinese and English abstracts and titles of academic articles. The acquired Chinese-English parallel corpus is by several orders of magnitudes larger than similar corpus we have known before. In addition, this system collects a large amount of bilingual terms which can directly apply to lexical acquisition.