With the rapid development of computational linguistics and data mining technology, the field of education is gradually exploring its potential applications in teaching. This paper proposes a standardized application method based on data mining algorithms, aiming to improve the systematicity and effectiveness of English teaching. Firstly, we apply data mining techniques to analyze the characteristics of English computer language in order to construct a data-driven teaching foundation. Subsequently, through in-depth analysis of these data, we designed and implemented an evaluation of the mining effect in English teaching classrooms. To ensure consistency and effectiveness in English teaching, we have established a computational linguistics English teaching model based on data mining algorithms. This model covers multiple aspects such as text classification, sentiment analysis, and semantic understanding, providing more accurate and personalized teaching and learning experiences for English teachers and students. After testing the model, we found that it can meet the requirements of teaching design and usage, bringing significant impact to English teaching. This paper provides a detailed introduction to the standardized application process of data mining algorithms in English teaching, and explores their positive effects on improving the quality of English teaching.