Study of massive paper texts chunking based on rules
基于规则的大规模试卷文本语块识别方法的研究

To solve the initiating of massive examination questions in database efficiently, proposed a paper texts chunking method based on rules. Defining recognition rules of paper texts and constructing automata recognition model, described the recognition processing of paper texts theoretically. Experiment results show that this model has better performance. By these works, implemented a prototype system, and verified its feasibility and effectiveness by a practical application.