Chinese person name recognition with semantic radical

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Radical is the primary component of Chinese character, but its function in Chinese information processing has not yet been well studied. With both theoretical analysis and corpus statistics, this paper presents the correlation between semantic radicals and Chinese characters used in person names. A person name recognition method that uses semantic radicals as computational resources in maximum entropy framework is proposed. This method was contrasted with a baseline method that doesn't take radicals into consideration. The experiments results show that semantic radicals can be quite useful in Chinese text processing.

Original languageEnglish
Title of host publicationProceedings of 2005 IEEE International Conference on Natural Language Processing and Knowledge Engineering, IEEE NLP-KE'05
Pages294-300
Number of pages7
DOIs
Publication statusPublished - 2005
Externally publishedYes
Event2005 IEEE International Conference on Natural Language Processing and Knowledge Engineering, IEEE NLP-KE'05 - Wuhan, China
Duration: 30 Oct 20051 Nov 2005

Publication series

NameProceedings of 2005 IEEE International Conference on Natural Language Processing and Knowledge Engineering, IEEE NLP-KE'05
Volume2005

Conference

Conference2005 IEEE International Conference on Natural Language Processing and Knowledge Engineering, IEEE NLP-KE'05
Country/TerritoryChina
CityWuhan
Period30/10/051/11/05

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