Research on English Translation System Based on Computer Intelligent AI Assisted Technology

This paper proposes an AI machine translation multitask system for artificial intelligence. In the hardware design of the system, STM32 microcontroller is used as the main control module. It realizes synchronous information conversion between English and sign language automatic translation system. In the aspect of system software design, CNN is used for model training and recognition of feature images. Then, the ontology fusion method of semantic unit is used to automatically extract the semantic context of English and sign language input in the system. Structured two-way translation in the order generated by decoding. JSP technology is used to design the system page to realize the timely jump of each function module page. The test results show that the functions of the session module and the dialogue module meet the requirements of interactive design. It can effectively improve the quality of English machine translation.