Intelligent Translation System and Network Communication Optimization of Tourism English for International Tourists

This study presents an intelligent English translation system for international tourists, integrating deep learning, multimodal translation, and network communication optimization. The system addresses challenges in language recognition, cultural context handling, and low-latency transmission across heterogeneous networks. A hybrid communication framework combining offline caching, cloud collaboration, and adaptive multi-network switching ensures reliable operation under varying network conditions. Scenario-based deployment and personalized service strategies enhance usability in diverse tourism environments, while rigorous evaluation demonstrates improved translation accuracy, response speed, and user satisfaction. The approach is particularly relevant for mobile communication and electromagnetic network environments, where low-latency and robust protocol design are essential for effective real-time translation and international service interoperability. Experimental results confirm that the system supports both high-quality language services and efficient technical exchanges in global tourism and connected device networks.