College English Teaching Method Based on Semantic Association Big Data

Abstract

In the process of College English teaching, we will find that although students have learned a lot of new knowledge, it is difficult to use them correctly. I don't even know how to understand the meaning of a complete sentence. In this paper, the author proposes to use semantic component analysis and semantic field theory to reform English teaching. Based on Chomsky's deep layer semantic theory, combined with college English reading teaching practice and examples, this paper uses semantic data mining method to explore the similarities between them. Through semantic big data association analysis, the corresponding methods are summarized and applied to English teaching, so that students can carry out conscious training. Improve reading efficiency. The experimental results show that: by using this method, students can understand and use the English knowledge accurately.