Research on the Development of Japanese MOOC System Based on BP Neural Algorithm

The role of MOOC system in Japanese language teaching is very important, but there is a problem of low level of Japanese assistance. The MOOC system cannot solve the problem of translating grammar and words in Japanese language teaching, and it is less logical. Therefore, this paper proposes a BP neural algorithm to construct an optimization model for MOOC system. First of all, the transfer standard is used to divide the Japanese teaching content, and the Japanese teaching content is carried out according to the translation requirements Pre-treatment for Japanese language teaching. Then, the transfer criteria are divided according to the teaching standards, forming an optimized set of Japanese language teaching, and the Japanese content is carried out Dig deeper. MATLAB simulation shows that the optimization degree and stability of BP neural algorithm are better than those of online translation methods under the condition that the teaching standards are consistent.