Research on the Practice Platform System of Japanese Syntax Teaching with Computer Assistance

This study focuses on building a computer-aided Japanese syntax teaching practice platform system, aiming to improve Japanese learners' syntactic comprehension and application ability through advanced technical means. One of the core functions of the system is the sentence similarity calculation module, which uses natural language processing algorithm based on deep learning to accurately identify and compare the similarity between sentences input by learners and correct syntactic structures, so as to provide immediate feedback and personalized guidance for learners. In the process of system development, a series of simulation experiments are designed to verify the effectiveness of the algorithm and the practicability of the system. The experimental results show that compared with traditional Japanese syntax teaching methods, this system can significantly improve learners' syntactic mastery speed and accuracy. In addition, the system can dynamically adjust the teaching content and difficulty according to the performance of learners to achieve personalized teaching. The Japanese syntax teaching practice platform system developed by this research institute provides a powerful computer-aided tool for Japanese language teaching, which is expected to bring about changes in the field of Japanese language education and promote the dual improvement of learning efficiency and teaching quality.