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  1. Proceedings of the 20th Australasian Document Computing Symposium (ADCS '15)
  2. Text segmentation and Chinese site search
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Text segmentation and Chinese site search

Content Provider ACM Digital Library
Author Thomas, Paul Zhou, Liyuan Hawking, David
Abstract Automatic segmentation and overlapping bigrams are the most common methods for overcoming the lack of explicit word boundaries in Chinese text. Past studies have compared their effectiveness, but findings have been equivocal and site search has been little studied. We compare representatives of the two approaches using a 465,000 page crawl and test queries applicable to the university context. 503 pairs of result sets were judged by 56 Chinese students. Although there are differences on certain queries, we find no overall advantage to either method. To understand the merits of each approach, we analyze cases where they performed differently. Our analysis enumerates situations which favour segmentation, and those which favour bigrams. We observe that further improvements in segmentation accuracy will not improve retrieval effectiveness.
Starting Page 1
Ending Page 4
Page Count 4
File Format PDF
ISBN 9781450340403
DOI 10.1145/2838931.2838940
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2015-12-08
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Site search Segmentation Chinese ir
Content Type Text
Resource Type Article
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