A new method of Chinese personal names recognition based on TBL

Author

Zhao, Wei ; Li, Dan ; Wang, Yafei

Author_Institution

Coll. of Inf. Technol., Jilin Agric. Univ., Changchun, China

Volume

1

fYear

2010

fDate

5-7 May 2010

Firstpage

150

Lastpage

153

Abstract

Recognition of Chinese personal name is a difficult and challenging task in unknown words recognition. In this paper, we proposed a method of Chinese name recognition based on Support Vector Machines (SVM) and transformation-based error-driven learning. Using the transformation-based learning approach to correct the identification results of SVM. Transformation rules effectively deal with the special cases of language phenomenon and improve the performance of SVM. Experiments show that the method is effective. In open test, the precision, recall, and F-measure are improved.

Keywords

character recognition; learning (artificial intelligence); natural language processing; support vector machines; word processing; Chinese name recognition; SVM; TBL; support vector machines; transformation-based error-driven learning; words recognition; Automatic control; Automation; Communication system control; Educational institutions; Error correction; Hidden Markov models; Learning systems; Machine learning; Support vector machines; Text recognition; Chinese names recognition; TBL; support vector machines;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Communication Control and Automation (3CA), 2010 International Symposium on

Conference_Location

Tainan

Print_ISBN

978-1-4244-5565-2

Type

conf

DOI

10.1109/3CA.2010.5533867

Filename

5533867