Language recognition in wireless network communication and its type generalization for second language teaching and learning

With the rapid development of China’s economy and the continuous improvement of its international status, “Chinese fever” is quietly emerging all over the world, and the teaching of Chinese as a second language has become an independent discipline in China. There is a lot of room for exploration in research. In the past few decades, with the rapid development of science and technology, “intelligence” has become the development trend of the whole society. The potential of smart devices has become more and more widely used, which has also inspired users’ love and ultra-fast adaptability to devices. This paper uses wireless network communication to study language recognition and its type induction in second language teaching, and proposes a resource allocation mechanism based on bilateral induction. Different expressions are designed with different priorities, and after transformation, the follow-up type induction research can be carried out smoothly, and finally the optimal induction allocation scheme is obtained. The research results show that in the teaching type induction, there are 684 new words in volume I, 778 new words in volume II, and 1462 total words in volumes I and II, and they are all summarized. Compared with traditional methods, the search and extraction speed is increased by 45%. Teaching type induction is more effective in the comprehensive use of multiple teaching methods in primary teaching, but it is still inseparable from traditional teaching methods. Therefore, in the specific teaching practice, we should choose a more suitable teaching method according to the individual factors of the teaching content and teaching objects.