International Journal of Education

With the accelerated development of the Global Energy Interconnection, a series of prominent issues have gradually emerged in the power sector, such as inconsistent cross-linguistic understanding of professional terms and inadequate effectiveness in transnational training. In order to comprehensively meet these challenges, this study has developed and built an intelligent power bilingual teaching platform. The platform combines the power professional knowledge atlas and voice interaction function to build a high-quality bilingual power corpus resource library and lay the foundation for systematic semantic analysis; introduce immersive bilingual teaching components, and comprehensively use Chinese and English voice recognition, intelligent answering and other artificial intelligence means to create an efficient bilingual learning scenario. Test results and practical application effects indicate that the platform achieves an accuracy rate exceeding 70% in power term translation, shortens the average time required for transnational training by more than 40%, and significantly enhances learners' knowledge comprehension. This achievement not only verifies the practicality and reliability of the developed system, but also explores a new path for the training of international talents in the power industry and other high-end equipment manufacturing fields, and a new path for the cultivation of technology-enable empowerment.

Natural language processing; Bilingual education; Intelligent power