Title :
Studies on traditional Chinese poetry style identification
Author :
Yi, Yong ; He, Zhong-Shi ; Li, Lung-Yan ; Yu, Tian
Author_Institution :
Coll. of Comput. Sci. & Technol., Chongqing Univ., China
Abstract :
Based on a machine learning method, Naive Bayes, this paper proposes a traditional Chinese poetry style identification calculation model to distinguish bold-and-unrestrained or graceful-and-restrained styles, which derives from machine learning Chinese classical Ci in song dynasty and has achieved satisfactory identification results in application.
Keywords :
Bayes methods; knowledge representation; learning (artificial intelligence); literature; natural languages; text analysis; Chinese classical Ci; Chinese poetry style identification; Naive Bayes algorithm; bold and unrestrained style; graceful and restrained style; knowledge representation; machine learning method; natural language processing; song dynasty; text categorization; Computer science; Educational institutions; Electronic mail; Helium; Humans; Learning systems; Machine learning; Natural language processing; Natural languages; Text categorization;
Conference_Titel :
Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on
Print_ISBN :
0-7803-8403-2
DOI :
10.1109/ICMLC.2004.1378534