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A heuristic method based on a statistical approach for chinese text segmentation (2005)
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| Venue: | J. Am. Soc. Inform. Sci. Tech |
| Citations: | 10 - 0 self |
BibTeX
@ARTICLE{Yang05aheuristic,
author = {Christopher C. Yang and K. W. Li},
title = {A heuristic method based on a statistical approach for chinese text segmentation},
journal = {J. Am. Soc. Inform. Sci. Tech},
year = {2005},
pages = {1438--1447}
}
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Abstract
The authors propose a heuristic method for Chinese automatic text segmentation based on a statistical approach. This method is developed based on statistical information about the association among adjacent characters in Chinese text. Mutual information of bi-grams and significant estimation of tri-grams are utilized. A heuristic method with six rules is then proposed to determine the segmentation points in a Chinese sentence. No dictionary is required in this method. Chinese text segmentation is important in Chinese text indexing and thus greatly affects the performance of Chinese information retrieval. Due to the lack of delimiters of words in Chinese text, Chinese text segmentation is more difficult than English text segmentation. Besides, segmentation ambiguities and occurrences of out-of-vocabulary words (i.e., unknown words) are the major challenges in Chinese segmentation. Many research studies dealing with the problem of word segmentation have focused on the resolution of segmentation ambiguities. The problem of unknown word identification has not drawn much attention. The experimental result shows that the proposed heuristic method is promising to segment the unknown words as well as the known words. The authors further investigated the distribution of the errors of commission and the errors of omission caused by the proposed heuristic method and benchmarked the proposed heuristic method with a previous proposed technique, boundary detection. It is found that the heuristic method outperformed the boundary detection method.
Keyphrases
heuristic method chinese text segmentation statistical approach unknown word segmentation ambiguity chinese text segmentation point chinese sentence chinese information retrieval english text segmentation chinese segmentation many research study word segmentation much attention known word significant estimation statistical information adjacent character boundary detection method major challenge experimental result show mutual information unknown word identification chinese automatic text segmentation chinese text indexing boundary detection out-of-vocabulary word
