Research And Implementation Of Natural Language Intelligent Interface Based On Database

With the development of computer technology, database gradual become themainstream of the data storage, in ways that database retrieval also becomesincreasingly important. However, traditional database retrieval must understand theoperation principle, use the complex commands sets and formalized computer language,these to non-professional workers are too complex and difficult to complete. Therefore,using the simple and quick natural language to retrieve information has become researchhotspot.This thesis aims to explore natural language technology query based on thedatabase. First briefly introduces the database natural language, then study Chineseword segmentation Hidden Markov Model (HMM) algorithm and continuous regionalgorithm.In the third chapter presents each word library design of the system, the wordlibrary is system’s binder and is lexical analysis and syntax analysis’s foundation. Thefourth chapter illustrates the process of sentence analysis in detail, which mainlyincludes lexical analysis and syntax analysis two parts.According to the knowledge and the technology discussed earlier, we design anatural language query system, and successfully applied in personnel archive and theLiAn community service database, which reached the desired experimental effect.Finally summarizes the research results of this paper, and puts forward the direction offurther research.