Su Tao, Rue Lynette P
School of Foreign Studies, Anhui Polytechnic University, Wuhu, 241000, China.
Education Program Supervision in Mathematics in the Department of Education, Trece Martirez City, 4109, Cavite, Philippines.
Sci Rep. 2025 May 6;15(1):15845. doi: 10.1038/s41598-025-00592-4.
This study focuses on the application of virtual reality (VR) technology in English language teaching (ELT), and discusses the effect of combining VR with machine translation (MT) technology. VR technology is introduced into the study to provide innovative teaching methods for English teachers and create an immersive learning environment for students. Based on the latest development of deep learning (DL), a new MT model is proposed in this study, and it is successfully integrated with VR technology to optimize the quality of ELT. The experimental results show that the translation accuracy of the MT model designed in this study reaches 98.5%, the F1 score is stable at around 93%, and the semantic information recall rate is as high as 92%, all of which are better than the traditional model. In the preliminary test, the comparative experiment of 40 English majors further verified the effectiveness of the model in improving translation efficiency and quality. This study shows the great potential of the integration of VR and MT technology in ELT, and also proves its advantages by using experimental data, which provides technical support for ELT and provides reference for future practice.
本研究聚焦于虚拟现实(VR)技术在英语教学(ELT)中的应用,并探讨VR与机器翻译(MT)技术相结合的效果。将VR技术引入该研究,为英语教师提供创新教学方法,并为学生创建沉浸式学习环境。基于深度学习(DL)的最新发展,本研究提出了一种新的MT模型,并成功将其与VR技术集成,以优化英语教学质量。实验结果表明,本研究设计的MT模型的翻译准确率达到98.5%,F1分数稳定在93%左右,语义信息召回率高达92%,均优于传统模型。在初步测试中,40名英语专业学生的对比实验进一步验证了该模型在提高翻译效率和质量方面的有效性。本研究展示了VR与MT技术整合在英语教学中的巨大潜力,并通过实验数据证明了其优势,为英语教学提供了技术支持,并为未来实践提供了参考。