NDLI: Automatic recognition of Chinese place names: a statistical and rule-based combined approach

Content Provider	IEEE Xplore Digital Library
Author	Jia-heng Zheng Hong-ye Tan Kai-ying Liu Ying Zhao
Copyright Year	2000
Description	Author affiliation: Dept. of Comput. Sci., Shanxi Univ., Taiyuan, China (Jia-heng Zheng)
Abstract	The automatic recognition of Chinese place names, a special case of the recognition of Chinese special nouns, is an important task in Chinese information processing. In this paper, we propose an approach combining statistical and rule-based techniques. The proposed approach discovers candidates from Chinese texts based upon the probability of a character being part of a Chinese place name; and confirms or eliminates the candidates by applying rules obtained by human summarization and transformation-based machine learning. In this approach, we employ a statistical measure: weight of likelihood (WOL), to estimate the likelihood of a character being part of a Chinese place name in real corpora. To the authors' knowledge, it is the first time WOL has been used to capture the capability of a character forming Chinese places names in real corpora. We evaluate the performance of our approach on a real data set and the recall and precision are 97% and 90.92% respectively.
Sponsorship	Raytheon
Starting Page	2204
Ending Page	2209
File Size	522372
Page Count	6
File Format	PDF
ISBN	0780370872
ISSN	1062922X
DOI	10.1109/ICSMC.2001.972883
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2001-10-07
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Dictionaries Information processing Probability Humans Machine learning Text recognition Books Computer science Weight measurement Information technology
Content Type	Text
Resource Type	Article

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