Method of Chinese Grammar Rules Automatically Access Based on Mining Association Rules

Grammar rule set is often used in natural language processing. Usually, rule set can only be gained in linguistics materials artificially. In this paper, through study on the using states of grammar rules in natural language processing, we propose a method, with using a typical way of data mining - mining association rules, of exploring Chinese grammar rules in real corpus environment. And we build Chinese grammar rule database using the rules explored by this method. Compare the result in this method with the traditional artificial way, we find this method has better availability.