Abstract
This paper examines the effectiveness of different phrase identification and weighting methods for Japanese text retrieval in an operational information retrieval (IR) system, called NACSIS-IR . Based on our previous experiments, we used character-based indexing with positional information and word-or phrase-based query processing, which allowed us to implement sophisticated linguistic analysis on large-scale databases while maintaining adequate efficiency. The results of retrieval experiments on a large-scale Japanese test collection showed that the combination of enhanced phrase identification using patterns defined over part-of-speech tags and our algorithms Phrase2 and Phrase5 made a significant positive contribution to retrieval effectiveness. The paper also discusses indexing and phrase processing of Japanese or East Asian languages.
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