A Chinese name identifying system based on inverse name frequency model and rules

Heng Ji, Zhensheng Luo

Research output: Contribution to journalConference articlepeer-review

Abstract

The processing of Chinese names is important to the approach of Chinese word segmentation and automatic abstraction. In this paper we put forward an inverse name frequency model. Based on this model, context pattern, adjacent chain, special name table and position dependent information, we designed an effective system for automatically identifying Chinese names in texts. This paper describes the algorithm of this system, and the experiment result shows its upper recall and precision rate. Its recall rate reaches 93.75% and precision rate reaches 83.95%.

Original languageEnglish (US)
Pages (from-to)2219-2225
Number of pages7
JournalProceedings of the IEEE International Conference on Systems, Man and Cybernetics
Volume4
StatePublished - Dec 1 2001
Externally publishedYes
Event2001 IEEE International Conference on Systems, Man and Cybernetics - Tucson, AZ, United States
Duration: Oct 7 2001Oct 10 2001

Keywords

  • Adjacent chain
  • Context pattern
  • Data sparsity
  • Inverse name frequency model
  • Special surname

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Hardware and Architecture

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