Conference proceeding
Error analysis of Chinese text segmentation using statistical approach
Proceedings of the 2004 Joint ACM/IEEE Conference on Digital Libraries, 2004
2004
Abstract
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.
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Details
- Title
- Error analysis of Chinese text segmentation using statistical approach
- Creators
- C.C. Yang - Chinese University of Hong KongK.W. Li - Chinese University of Hong Kong
- Publication Details
- Proceedings of the 2004 Joint ACM/IEEE Conference on Digital Libraries, 2004
- Conference
- 2004 Joint ACM/IEEE Conference on Digital Libraries, 2004
- Publisher
- IEEE
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Information Science (Informatics)
- Identifiers
- 991021855282604721