Study on the Grammar System of Teaching Chinese as a Foreign Language in the Background of Information Technology

Abstract

In order to improve the convenience and reliability of teaching Chinese as a foreign language, this study applies information technology to the intelligent system of teaching Chinese as a foreign language and the picture semantic recognition of teaching Chinese as a foreign language. Moreover, this paper proposes a sparse neural network SRSCNN, which shortens the training time without affecting the reconstruction effect and calculation speed, and improves the intelligent processing of teaching resources in the teaching process. When designing the overall framework of the system, a hierarchical and modular design method is adopted to make the logical structure of the whole system reasonable and the process clear. The study of the test results shows that teaching Chinese as a foreign language system based on information technology proposed in this paper has a good teaching effect and can effectively promote the reform of teaching Chinese as a foreign language.