Publications (2)0 Total impact
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Conference Proceeding: Recognizing Transliterated Names from Chinese Texts Based on Support Vector Machines and Rules
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ABSTRACT: According to the characteristics of transliterated names in Chinese texts, a method of automatic recognition of Chinese transliterated names combining support vector machines (SVMs) with rules is proposed. The attributes of feature vectors based on characters are extracted. A training set is established and the machine learning models of automatic identification of transliterated names are obtained by testing polynomial Kernel functions; the knowledge cannot be acquired completely if we only use the machine learning model, which will affect the recall. Through careful error analysis, the base of recognition-rules is constructed as post-processing steps to overcome the shortcoming of machine learning model. The results show that the method is efficient for identifying transliterated names from Chinese textsNeural Networks and Brain, 2005. ICNN&B '05. International Conference on; 11/2005 -
Conference Proceeding: Chinese Syntactic Category Disambiguation Using Support Vector Machines.
Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30 - June 1, 2005, Proceedings, Part II; 01/2005
Institutions
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2005
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Dalian University of Technology
Dalian, Liaoning, China
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