A DATA MINING METHOD TO ACQUIRE PART OF SPEECH RULES IN CHINESE TEXT

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.