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

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

本文描述我們所提出之韓中雙語跨語言檢索系統。我們採用韓中雙語辭典進行問題之翻譯，並利用線上維基百科以及韓國Naver網站來擴增我們雙語辭典的覆蓋率。此外，針對韓文中西方人名的翻譯，我們提出一音譯對應的搜尋方法。對於韓中翻譯時的歧義性問題，我們採用Mutual Information方法來解決。我們使用NTCIR-6之test set測試我們韓中跨語言檢索系統之效率，其使用標題部分進行查詢時之Mean average precision（MAP）之結果為0.1392；使用敘述部分進行查詢時之MAP為0.1274。

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.