A heuristic method based on a statistical approach for Chinese text segmentation-Reference-Cited by-同舟云学术

A heuristic method based on a statistical approach for Chinese text segmentation

Published:2005 Issue:13 Volume:56 Page:1438-1447
ISSN:1532-2882
Container-title:Journal of the American Society for Information Science and Technology
language:en
Short-container-title:J. Am. Soc. Inf. Sci.

Author:

Yang Christopher C.,Li K. W.

Publisher

Wiley

Subject

Artificial Intelligence,Computer Networks and Communications,Human-Computer Interaction,Information Systems,Software

Reference20 articles.

1. , , & (1997). Chinese text retrieval without using a dictionary. In , , & (Eds.), Proceedings of the 20th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 42–49). New York: ACM.

2. (1995). Fast and quasi-natural language search for gigabits of Chinese texts. In , & (Eds.), Proceedings of the ACM SIGIR Annual International Conference on Research and Development in Information Retrieval (pp. 112–120). New York: ACM.

3. (1997). PAT-tree-based keyword extraction for Chinese information retrieval. In , , & (Eds.), Proceedings of ACM SIGIR Annual International Conference on Research and Development in Information Retrieval (pp. 50–58). New York: ACM.

4. , & (1999). A new statistical formula for Chinese text segmentation incorporating contextual information. In , & (Eds.), Proceedings of the ACM SIGIR Annual International Conference on Research and Development in Information Retrieval (pp. 82–89). New York: ACM.

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