The Design And Implement Of The Chinese Syntax Analysis Expert Based On The Neural Network

The thesis develops an Chinese syntax analysis system based on neural network with expert system frame on the ground of Chinese syntax analysis, in which constructing the knowledge database for saving and managing syntax knowledge and developing the reasoning machine with the linguist intelligent behavior and the ability of syntax analysis is the most important.The main research results are clarified as below.1. The Chinese syntax analysis expert system based on neural network is proposed. The thesis presents the whole system framework, and introduces the frame and function of each construct module in detail. What's more, the feasibility of the intelligent system for Chinese syntax analysis, which is united by expert system and neural network, is discussed in the thesis.2. In the thesis, syntax knowledge and grammar rules are abstracted from the modern Chinese grammar library, and the knowledge express method by product rule is anal sized systematically. In order to make knowledge manageable and exploit network to save knowledge, the grammar rules with product express are standardized, that is dualistic.3. The method of saving syntax knowledge and constructing knowledge database with neural network is proposed in the thesis according to the special feature of knowledge description. The train samples come from the rule database which is summarized the by modern Chinese grammar library. The join weight value and threshold value matrix of neural network after training form the knowledge database of the expert system based on neuralnetwork.4. The thesis discusses the search strategy of and/or tree according to the express feature of the grammar rule, and adopts the and/or tree deep first search strategy and the top down inference strategy in the reasoning mechanism. The corresponding Chinese syntax analysis inference algorithm is developed and is constructed experiment research, which feature is that the expert system and the neural network are united organically and the knowledge inference is carried out by different steps, besides, the function of self-study is implemented by neural network, which improves the efficiency of syntax analysis greatly.5. The ability of saving knowledge of BP network is researched in system experiment. And the ability of saving knowledge of different BP network is compared and anal sized so as to establish the optimization BP network model. In the portion of system implement, the design of system program and interface is completed with Visual C++. The reasoning mechanism adopts the method of two BP network inference at the same time. The result of system running shows that the system not only can fleetly remember and save knowledge but also can conduct syntax inference effectively.6. The thesis explores the method of introducing heuristic search in Chinese syntax analysis, and by means of the properties of heuristic function value, the thesis introduces the concept of probability grammar, and also deduces the Chinese syntax analysis method and relative properties in probability grammar. In the thesis, being aimed at the knowledge expansion problem, the methods of determining the code's demonstration fields and adoptingmultiple neural networks inference are presented. In addition, the thesis analyzes the similarity of the vague system and the neural network, and also proposes the method for further improvement.7. The Chinese syntax analysis system, which is designed and implemented in the thesis, obtains good results in running. The research findings are worthy to be referenced in Chinese syntax analysis methods study field.