Application of Grammar Error Detection Method for English Composition Based on Machine Learning

With the development of grammar-checking technology and algorithms, system has been widely used in various fields. This paper designs implements a for English composition. The adopts multimodule design. is composed multilayer rule error-correcting module machine learning module. study aims to build algorithm model that can detect grammar errors by analysing comparing different models currently applied field education then apply trained composition detection system. results show save lot time labor cost manual marking, liberate teachers from heavy repeated evaluation activities, put more energy on teaching. At same time, it provide learners with objective timely feedback so intuitively clearly know they are prone make grammatical mistakes process learning. It plays certain assisting guiding role learners’ autonomous