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Open Access Article

International Journal of Education. 2025; 7: (10) ; 61-64 ; DOI: 10.12208/j.ije.20250369.

Development of an intelligent power bilingual learning platform
智能电力双语学习平台开发

作者: 刘嘉明慧, 杨欣瑶 *, 赵雪彤, 朱帅琦

沈阳工程学院 辽宁沈阳

*通讯作者: 杨欣瑶,单位:沈阳工程学院 辽宁沈阳;

发布时间: 2025-10-10 总浏览量: 62

摘要

全球能源互联网正加速发展,电力领域渐渐出现了一系列突出问题,如在国际合作中面临着专业术语跨语言理解不一致、跨国培训成效不足等。本研究为了全面应对这些挑战,开发并构建了一款智能电力双语教学平台。该平台结合电力专业知识图谱与语音和AI的交互功能,建设高质量的双语电力语料资源库,奠定系统语义解析的基础;引入能让学习者沉浸其中的双语教学组件,综合利用中英文语音识别、智能答疑等人工智能手段,打造一个高效便利的双语学习场景。最后的测试与实际应用效果显示,该平台在电力术语翻译方面的正确率超过70%,跨国培训所需时间平均缩短40%以上,并极大提高了学习者的知识理解水平。本成果不仅证实了所开发系统的实用性和可靠性,也为电力行业及其他高端装备制造领域的国际化人才培训,探索出了一条具备可推广性的技术赋能型人才培养新路径。

关键词: 自然语言处理;双语教学;智能电力

Abstract

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.

Key words: Natural language processing; Bilingual education; Intelligent power

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引用本文

刘嘉明慧, 杨欣瑶, 赵雪彤, 朱帅琦, 智能电力双语学习平台开发[J]. 国际教育学, 2025; 7: (10) : 61-64.