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《Journal of Computer Research and Development》 2000-12
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A DATA MINING METHOD TO ACQUIRE PART OF SPEECH RULES IN CHINESE TEXT

LI Xiao Li and SHI Zhong Zhi (Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100080)  
A data mining method to acquire part of speech rules in Chinese text is presented. Given an array of support degree, it selects frequent pattern from candidate pattern set. Then it extracts a set of production rules that have high confidence degree. The process is automatic. The rules acquired are clear, but implicit in data set and previously unknown by users. The experiment shows a system that incorporates statistic method with rule method has better performance.
【Fund】: 国家自然科学基金资助!(项目编号 6 980 30 10 )
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