Optimization Strategies for Improving the Translation Level of English Translation Classrooms in Higher Vocational Colleges and Universities Supported by Data Analysis Technology Support

Abstract

Higher vocational colleges and universities are more concerned about whether students can rapidly improve their skill level in actual teaching due to their employment-oriented characteristics. Data analysis technology has application advantages such as rapid response and intelligence, and the application of this technology to improve students' translation level can effectively meet the modernization reform needs of higher vocational colleges and universities. In this paper, students' English translation works are transcribed into the work archive as the research corpus. A computer intelligent detection and proofreading system based on the improved phrase translation model is built to detect and mark the errors in the students' translation work data. Complete the proofreading of translation error knowledge points with machine translation for students' reference. After 6 weeks of application, the students' English translation level in all 6 dimensions was improved to more than 80 points, which verified the optimization effect of using the system for the students' English translation level.