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- W1583770177 abstract "Because word boundaries are not clearly indicated in Asian languages, including Japanese, word indexing cannot be applied easily. Although dictionary-based methods for segmenting text enable word indexing, they give rise to some problems, such as dictionary maintenance. N-Gram indexing, another commonly used method, suffers from low retrieval performance and increase in index size. This paper proposes a new statistical indexing method. It uses a new measure, computed using statistics about characters to evaluate a bi-gram's likelihood of being a word boundary, and a new segmentation strategy which extracts some overlapping segments in addition to the segments extracted using the current strategy. As a result, our method achieves higher retrieval effectiveness." @default.
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- W1583770177 date "1999-01-01" @default.
- W1583770177 modified "2023-09-24" @default.
- W1583770177 title "Overlapping Statistical Segmentation for Effective Indexing of Japanese Text." @default.
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