A new approach to Chinese person names recognition based on part-of-speech detecting

Author

Wang, Yuan-Yuan ; He, Zhong-Shi

Author_Institution

Coll. of Comput. Sci., Chongqing Univ., China

Volume

5

fYear

2004

fDate

26-29 Aug. 2004

Firstpage

2969

Abstract

Automatic Chinese named entity recognition is an important task of Chinese information processing. This paper presents a new approach smartly combining statistical technique, heuristic rules and part-of-speech to identify Chinese person names. This algorithm features in boundary affirmation of person names by detecting candidate characters´ part-of-speech and in comparing the relative probability of would-be-word character. This work is partly funded by Chinese Natural Science Foundation under the grant number 60173060.

Keywords

character recognition; probability; speech recognition; statistical analysis; Chinese Natural Science Foundation; Chinese information processing; Chinese named entity recognition; Chinese person names recognition; character detection; heuristic rules; part-of-speech detection; probability; statistical technique; Computer science; Data mining; Educational institutions; Helium; Information processing; Information retrieval; Maximum likelihood estimation; Natural languages; Probability; Tagging;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on

Print_ISBN

0-7803-8403-2

Type

conf

DOI

10.1109/ICMLC.2004.1378541

Filename

1378541