Automatic construction of parallel English-Chinese corpus for cross-language information retrieval

A major obstacle to the construction of a probabilistic translation model is the lack of large parallel corpora. In this paper we first describe a parallel text mining system that finds parallel texts automatically on the Web. The generated Chinese-English parallel corpus is used to train a probabilistic translation model which translates queries for Chinese-English cross-language information retrieval (CLIR). We will discuss some problems in translation model training and show the preliminary CUR results.

• Type: Conference
• Year: 2000
• Where: ANLP
• Authors: Jiang Chen, Jian-Yun Nie
• Keywords: ANLP 2000, Generated Chinese-english Parallel, Parallel Texts, Probabilistic Translation Model