In this paper, we propose a CLIR method which employs a Web directory provided in multiple language versions (such as Yahoo!). In the proposed method, feature terms are first extracted from Web documents for each category in the source and the target languages. In advance, category matching is conducted in order to category pairs between categories across languages. Using these category pairs, we intend to resolve ambiguities of simple dictionary translation by narrowing the categories to be retrieved in the target language. At NTCIR-4, we participated in the JapaneseEnglish cross-language track. We submitted TITLE run and DESCRIPTION run. From the analysis of the experimental results, we found that the translation failure of proper nouns causes serious influence for retrieval results.
['Fuminori Kimura', 'Akira Maeda', 'Shunsuke Uemura']
CLIR using Web Directory at NTCIR4