Data Mining Model of English Translation Teaching Based on Virtual Reality Technology

Abstract

AbstractIn modern society, the development of information technology is becoming more and more rapid, especially virtual reality technology and data mining, which have become one of the hot spots of the current era. From the current point of view, computer technology has become an important application tool in the field of English translation. However, in the translation process, the traditional English teaching model can no longer meet the needs of translation work. In traditional English translation teaching, teachers often explain and analyze the knowledge points learned in the classroom. However, some translation knowledge points are abstract and complicated and difficult for students to understand, which leads to lower learning efficiency. Therefore, in order to better improve the teaching effect and cultivate high-quality English translators, it is necessary to use virtual technology and data mining methods to assist the establishment of corresponding links between translation methods and methods, and to achieve effective integration, thereby helping English translation Professionals perform language output work more quickly in the classroom. This article uses questionnaire survey and data analysis methods to explore the current status of existing English translation teaching models, and then uses virtual technology and data mining methods to deal with existing problems, thereby further enhancing the effect of English translation teaching and improving teaching quality. According to the survey results, most of the interviewed teachers and students believe that virtual technology has played a certain auxiliary role in the development of teachers’ teaching work and students’ English translation training, and has certain application value to the teaching mode of English translation.KeywordsEnglish translationTeaching modeVirtual technologyData mining