Natural language processing and information retrieval system based on BP neural network

Abstract

Natural language processing is an important means to realize the communication between man and machine using natural language, and help computers quickly understand the meaning expressed by natural language. The most common application system using natural language processing technology is information retrieval system. On this basis, an information processing model based on BP neural network (BPNN) and statistical method is discussed, and the principle of BPNN is explained in detail. After analyzing these phenomena, researchers think that natural language processing is more suitable for tasks requiring accurate results, and the understanding level of natural language processing is divided into seven levels from low level to high level: pronunciation level → morphology level → vocabulary level → syntax level → semantics level → pragmatics level → context level. On this basis, the application of natural language processing in information retrieval system is discussed.