Data Fusion Algorithm in Subtitle Translation of English VR Video Course

In recent years, VR technology has developed rapidly, and its application range has also developed from entertainment to education. The English video teaching made by VR technology can effectively improve students’ learning enthusiasm. VR technology will surely lead to the arrival of an era, and it will also be a tool that must be carried out in the future development of many industries. Since the first year of VR, subtitle translation has also tried to use VR technology, but it has not been able to give full play to the advantages of VR technology. However, the existing video subtitle translation technology is still in the exploratory stage. Due to the frequent problems in subtitle translation, the actual teaching effect is greatly reduced. And this has just become one of the prerequisites for the application of data fusion algorithms. The characteristics of video course subtitle translation are that the course video is the source text, which is restricted by the form of audio-visual text, the actual operation of subtitle translation, and the course content. in principle. Combined with the case, the first translation and the proofreading are compared and analyzed. With the use of data fusion algorithms, it can solve the problem of letter translation in English VR video teaching. In view of this situation, this article studies the characteristics and strategies of subtitle translation in English VR video course. This study is mainly divided into three parts. The first part is the research into the characteristics of existing video subtitle translation, which analyzes the advantages and disadvantages of existing video subtitle translation one by one. Through the research, this article believes that the main shortcomings of the existing technology are cultural differences and human work deficiencies, but they can be overcome and improved. In view of these problems, the second part of this article is to improve the problem of English letter translation in the actual application process through the use of data fusion algorithms. The third part of this article is the investigation and research, using the way of investigation to verify the specific effect of the improvement method in this article. Through the analysis of the survey data, we can see that the improved English VR video course has been widely praised by the students, which not only increases the learning enthusiasm, but also improves the learning effect.