English Translation Teaching Algorithm in Colleges and Universities Using Data-Driven Deep Learning

The data-driven learning model is a newer method. It not only provides learners with rich, diverse, and real-language big data, but it also creates an ideal environment for them because of its corpus-based teaching characteristics. This paper will look at how to analyze research in college English translation classes, as well describe the approach. presents problem design, then expands on concepts methods deep learning, conducts case design analysis teaching. results experiments show that there are numerous issues traditional instruction, some which caused by students others teachers. overall situation experimental group better than control after application indicating DDL method ( Mean = 5.02 > 0 ), effect