A Study on the Influence of Ecological Translation Theory on University English Translation Teaching in the Context of Big Data Analysis

This paper aims to investigate the influence of ecological translation theory on university English translation teaching, constructs a regression prediction model prediction result evaluation index on the basis of a regression model, uses the regression prediction model to analyze the data of classroom percentage in the process of university English teaching, and combines the prediction result evaluation index to study the influence of ecological translation theory on university English translation teaching, by analyzing the English translation content and translation By analyzing the two factors of English translation content and translation standards, suggestions are made for the subsequent development of university English translation teaching. The result data showed that in the university English translation classroom, the teacher-led time accounted for 60 minutes, the students’ independent discussion time was only 20 minutes, and there were only 10 minutes to test everyone’s classroom results. In terms of classroom content, the highest percentages of vocabulary content and grammar content were 30%, 40%, and 35%, respectively, and the lowest percentages of translation content were 10%, 5%, and 5%, respectively. The research data in this paper provide an effective reference for university English translation teaching and promote the development and progress of university English translation teaching.