数据驱动学习是一种基于语料库的发现式学习方法,是语言学习者自身在对大量真实语料观察和分析的基础上将问题解决的自主式学习。本文在语料库“数据驱动”的语言教学理论基础上,重点探讨大学英语翻译教学的新模式,对改革当前的大学英语翻译教学可以起到潜移默化的作用。 Data-driven learning is a corpus-based discovery-based learning method, which is an autonomous learning that language learners themselves solve problems based on the observation and analysis of a large number of real corpora. Based on the corpus “data-driven ” language teaching theory, this article focuses on the new model of college English translation teaching and can play a subtle role in the reform of current college English translation teaching.