Rule-based automatic analysis method of Chinese basic block

This is a rule-based Chinese basic block automatic analysis method, belonging to the natural language processing applications filed. Its features are: make use of automatic acquisition of the basic rules of the block to design the data and knowledge-driven basic block automatic analyzer to recognize different basic block in he Chinese authentic sentence efficiently; use vocabulary knowledge to do different levels of information expansion to examples of block combinations, and through the effective information matching of knowledge-level and multi-granularity automatic acquisition rules with the vocabulary of inner context constrains and external beam restrictions, get reliable automated analysis results as far as possible; automated disambiguate ambiguity by using confidence rules, choose more reliable automatic analysis as much as possible, while retaining part of complex ambiguity which is difficult to judge in the existing conditions for the follow-up analyzers use, thus enhancing the flexibility and effectiveness of basic block analyzer.