Natural language processing and information retrieval system based on BP neural network
| Autor: | Zeyang Zheng |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Vocabulary
Information retrieval Syntax (programming languages) Computer science business.industry media_common.quotation_subject Context (language use) Pronunciation Pragmatics Semantics computer.software_genre Information processing theory Artificial intelligence business computer Natural language Natural language processing media_common |
| Zdroj: | 2021 IEEE 4th International Conference on Information Systems and Computer Aided Education (ICISCAE). |
| DOI: | 10.1109/iciscae52414.2021.9590737 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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