Design and Application of N-gram Strategy based English Grammar Correction System

By improvement of grammar checking techniques, system of grammar checking is majorly utilized in different fields. This research designed and implemented the grammar checking method in English composition. The system of grammar checking adopted the multiple module design and that system is included multiple layer error correcting method and Machine Learning (ML) method. This research aimed to develop ML technique which detects the English grammar errors through analyzing and comparing various techniques presently applied in area of education and next applied the training method to English composition grammar detection method. The grammar error correction method incorporated features of word vector majorly explores the effective feature expression in English grammar error correction method. The research analyzed the results for five various types of error such as $V_{t}, V_{0}$, Prep, SVA and Nn. For the error V
t
, the research attained 80.34%, for V
0
error attained 75.21%, for Prep attained 85.73%, for SVA attained 77.27% and for Nn attained 93.52% correction rate.