Research on English Teaching Ability Evaluation Algorithm Based on Computer Corpus

Abstract

Corpus refers to a large-scale electronic library with a certain capacity, which is built by collecting naturally occurring continuous language application texts or discourse fragments according to certain linguistic principles and using random sampling methods. The application of corpus in English teaching can provide abundant context for learners, which is beneficial to the construction of learners' language knowledge. In view of the low accuracy of English teaching ability evaluation at present, a teaching quality evaluation method based on computer corpus is proposed. Combining K-means clustering algorithm, clustering and integrating the index parameters of English teaching ability, the teaching resource allocation plan is completed, thus realizing the scientific evaluation of English teaching ability. The research shows that the algorithm can combine the characteristics of schools, compare the overall teaching quality of universities of different grades or the same grade, and objectively reflect the overall teaching level of schools.