Research on English Grammar Error Correction Algorithm Based on Classification Model

The role of grammar correction in English teaching is very important, but there is a problem of poor comprehensiveness. The teacher's error correction method cannot solve the problems of tense and clause in English teaching, and the analysis accuracy is low. Therefore, this paper proposes a classification error correction algorithm to construct a grammatical error correction model. Firstly, the classification theory is used to divide the tense and clause problems, and the errors are corrected according to the grammatical requirements to realize the preliminary screening of grammar problems. Then, the English teaching collection is formed by classification, and the English sentences are data mining and analyzing. MATLAB simulation shows that under the condition of a certain statement, the recognition degree and recognition stability of the classification error correction algorithm are better than those of the teacher's error correction method.