Research on Verb Expression Error Detection Algorithm in College English Writing Based on Fonnal Model

Abstract

Based on the form language structure, the chain grammar formal structure framework is used to realize the form of sentences and reconstruct the management system of the chain grammar sentence dictionary. It aims to establish an excellent error detection system in English sentences for Chinese learners. The test data shows that the recall rate of wrong sentence detection increases by 4.5% compared with the original dictionary, and the accuracy rate also increases by 15.7%. The learners' accurate parsing of sentence patterns is improved by 12.2%. The research results show that the linguistic basic verb pattern syntax and structural model chain syntax adopted in this study can be applied to the research and construction of the error detection system of the written English verb type for Chinese learners.