English Language Translation Machine System Based on Human-Computer Interaction

This paper mainly studies an English language translation machine system based on a human-computer interaction enhanced algorithm. The system combines artificial intelligence technology with human-computer interaction design to improve the accuracy of English language translation and enhance the user experience. Firstly, the existing technologies and algorithms for English language translation are researched, and their problems and limitations are analyzed. Then, a novel translation machine system framework based on reinforcement algorithms is proposed. This framework integrates reinforcement learning and natural language processing technology to enhance translation accuracy and adaptability through training and optimizing algorithm models. Next, the application of human-computer interaction design in the translation machine system is studied. Through user surveys and needs analysis, a concise and intuitive user interface and interaction methods are designed to improve the user’s convenience and experience. Finally, system experiments and evaluations are conducted to validate the advantages of the English language translation machine system based on a human-computer interaction enhanced algorithm regarding translation accuracy and user satisfaction. The experimental results show that compared to traditional translation machine systems, this system has higher accuracy and provides a better user experience. This research has theoretical and practical significance for improving and developing English language translation machine systems.