By Topic

Error analysis of Chinese text segmentation using statistical approach

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Yang, C.C. ; Dept. of Syst. Eng. & Eng. Manage., Chinese Univ. of Hong Kong, Shatin, China ; Li, K.W.

The Chinese text segmentation is important for the indexing of Chinese documents, which has significant impact on the performance of Chinese information retrieval. The statistical approach overcomes the limitations of the dictionary based approach. The statistical approach is developed by utilizing the statistical information about the association of adjacent characters in Chinese text collected from the Chinese corpus. Both known words and unknown words can be segmented by the statistical approach. However, errors may occur due to the limitation of the corpus. In this work, we have conducted the error analysis of two Chinese text segmentation techniques using statistical approach, namely, boundary detection and heuristic method. Such error analysis is useful for the future development of the automatic text segmentation of Chinese text or other text in oriental languages. It is also helpful to understand the impact of these errors on the information retrieval system in digital libraries.

Published in:

Digital Libraries, 2004. Proceedings of the 2004 Joint ACM/IEEE Conference on

Date of Conference:

7-11 June 2004