Korean-Chinese Cross-Language Information Retrieval Based on Extension of Dictionaries and Transliteration

This paper describes our Korean-Chinese cross-language information retrieval system. Our system uses a bi-lingual dictionary to perform query translation. We expand our bilingual dictionary by extracting words and their translations from the Wikipedia site, an online encyclopedia. To resolve the problem of translating Western people’s names into Chinese, we propose a transliteration mapping method. We translate queries form Korean query to Chinese by using a co-occurrence method. When evaluating on the NTCIR-6 test set, the performance of our system achieves a mean average precision (MAP) of 0.1392 (relax score) for title query type and 0.1274 (relax score) for description query type.