Research on Precision Teaching Mode of Language Translation in Colleges and Universities under the Perspective of Intercultural Communication

Within the scope of cross-cultural communication perspective, this paper proposes to use big data to investigate the language and cultural background, combined with personalized language translation learning resources recommendation model to carry out targeted language translation teaching training. With the help of machine translation technology to assist language translation, it establishes a precise teaching mode of language translation in colleges and universities under big data technology. Delineate the domain of precise language translation teaching and the corresponding organization of language teaching. Explore the relationship between language translation vocabulary factors and the implementation of precise teaching using ANOVA. Using the clustering method to classify language translation learning resources, carry out a two-month practice of precision teaching of language translation in colleges and universities, and evaluate the effect of precision teaching. The number of access times and the mean of the video learning period were 7.689 and 16.030, 2830.05, respectively. The growth in video learning is particularly significant. After the post-t test, sig= 0.000 of the practice and the number of assignments submitted. This paper confirms the validity of the language translation precision teaching mode proposed in this paper.