Design of Japanese Translation Online Assistant System Based on Neural Network

In order to facilitate communication among people from various countries, this paper will develop an online Japanese translation assistant system using neural network technology. On this basis, a Japanese translation mechanism based on neural networks was proposed, which combined the editing and modification after Japanese translation with the design concept of knowledge base. A system structure consisting of a transceiver module, an automatic translation module, a manual error correction module, a task management module, and a storage module were established, and the performance of each module was analyzed in detail. Then, this article provides a detailed workflow design for the system, with a focus on combining neural networks with the business process of Japanese translation, thus achieving online assistance for Japanese translation based on neural networks. After testing, all functional modules of this system have achieved a 100% pass rate and achieved fast online translation, improving the success rate of pronunciation and multilingual translation.