NDLI: Research of intelligent word segmentation and information retrieval

Content Provider	IEEE Xplore Digital Library
Author	Xiaofei Li Xusheng Xie
Copyright Year	2010
Description	Author affiliation: Institute of Computer Information and Engineering,Jiangxi Normal University, Nanchang, China (Xiaofei Li; Xusheng Xie)
Abstract	Chinese information retrieval process is somewhat different from the English information retrieval process. In consideration of the existing problems and difficulties of Chinese language information processing, Hibernate search was introduced to exploit information retrieval engine in this paper. A Chinese language analyzer based on the word stock was adopted to process Chinese language information, therefore this analyzer could advance with the times by updating the word stock at any time. However, ambiguity errors caused by the Chinese language analyzer always interfered with the degree of accuracy of the result. During the time of information retrieval, a secondary word segmentation algorithm was used in order to improve Chinese language information retrieval precision. The result list given in this paper had shown that the intelligent Chinese segmentation algorithm had improved the system performance well.
File Size	267294
File Format	PDF
ISBN	9781424463671
e-ISBN	9781424463701
DOI	10.1109/ICETC.2010.5529961
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-06-22
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Word Segmentation Natural languages Word sense disambiguation Information processing Information retrieval Hibernate search Indexes Information analysis
Content Type	Text
Resource Type	Article

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