Song Ci Style Automatic Identification  

作　　者：郑旭玲 周昌乐 曾华琳 

机构地区：[1]Department of Cognitive Science,Fujian Key Laboratory of the Brain-like Intelligent Systems,Xiamen University

出　　处：《Journal of Donghua University(English Edition)》2010年第2期181-184,共4页东华大学学报（英文版）

基　　金：National Natural Science Foundation of China ( No.60903129);National High Technology Research and Development Programs of China ( No.2006AA010107, No.2006AA010108);Foundations of Fujian Province of China ( No.2008F3105, No.2009J05156)

摘　　要：To identify Song Ci style automatically,we put forward a novel stylistic text categorization approach based on words and their semantic in this paper. And a modified special word segmentation method,a new semantic relativity computing method based on HowNet along with the corresponding word sense disambiguation method are proposed to extract words and semantic features from Song Ci. Experiments are carried out and the results show that these methods are effective.To identify Song Ci style automatically, we put forward a novel stylistic text categorization approach based on words and their semantic in this paper, And a modified special word segmentation method, a new semantic relativity computing method based on HowNet along with the corresponding word sense disambiguation method are proposed to extract words and semantic features fromSong Ci. Experiments are carried out and the results show that these methods are effective.

关 键 词：stylistic text categorization word sense disambiguation （WSD） word segmentation HOWNET Song Ci 

分 类 号：TP391[自动化与计算机技术—计算机应用技术] I222.8[自动化与计算机技术—计算机科学与技术]