Innovative Teaching of Japanese Language in Colleges and Universities with the Aid of Natural Language Processing Technology

Abstract

In this paper, the Japanese sentences are processed by using the participle technology for participle and syntactic analysis, on the basis of which different weight values are assigned to different Japanese sentence components, and at the same time, the optimal sentence tree searching calculation method is applied in the process of calculating the maximum semantic conformity of the discourse linkage. According to the results of Japanese sentence segmentation processing, the weights of keywords in the Japanese teaching content are set, the synonyms and near-synonyms of each keyword are found, and the binary tree with weighted paths is used to compute the similarity between Japanese interrogative sentences and Japanese title sentences. Combining natural language processing technology with Japanese language teaching, we develop an assisted Japanese language teaching system based on natural language processing technology and analyze examples of unfolding Japanese language teaching. The results show that on the basis of high-level anxiety level, the average value of Japanese language teaching based on natural language technology are the lowest, and their values are (23.57), followed by medium anxiety group (45.56), low anxiety group (68.45), based on the assisted Japanese language teaching system in order of increasing, which indicates that the lower the anxiety state of the students, the effect of the application of the assisted Japanese language teaching system based on natural language processing technology is The higher the level of anxiety. This study provides theoretical analysis and experimental basis for assisted Japanese language teaching with natural language processing technology, which is of great significance for promoting the development of innovative Japanese language teaching in colleges and universities.