Cross-Language Information Retrieval for Technical Documents

This paper proposes a Japanese/English crosslanguage information retrieval (CLIR) system targeting technical documents. Our system rst translates a given query containing technical terms into the target language, and then retrieves documents relevant to the translated query. The translation of technical terms is still problematic in that technical terms are often compound words, and thus new terms can be progressively created simply by combining existing base words. In addition, Japanese often represents loanwords based on its phonogram. Consequently, existing dictionaries nd it di cult to achieve su cient coverage. To counter the rst problem, we use a compound word translation method, which uses a bilingual dictionary for base words and collocational statistics to resolve translation ambiguity. For the second problem, we propose a transliteration method, which identi es phonetic equivalents in the target language. We also show the e ectiveness of our system using a test collection for CLIR.