Artificial Intelligence Technology using Adaptive Inertia Weight with Long Short-Term Memory for English Grammar Correction System

English is the universal language in world that gets much attention, English is mother tongue and there has variance in thinking and culture. The English grammar is much complex issue for resolving. Numerous English learner and countof English teachers is restricted and that is necessary for using the Artificial Intelligence technology for resolving issue of resource lacking. This article developed Deep Learning (DL) approach to detect the English grammar that fastly and effectively detects the grammar errors. The Adaptive Inertia Weight with Long Short-Term Memory (AIW with LSTM) method is developed to detect the English grammars. The AIW is incorporated in the process of LSTM to optimize the hyper parameters of LSTM to obtain the better outcomes. This process enhances the detection performance of Grammar errors and provide high precision and recall. The performance of AIW with LSTM method is evaluated with Precision (P), Recall (R) and F1-score (F0.5) values using conventional techniques. The developed reached the 93.65% precision, 92.54% recall and 91.79% f1-score that represents that developed method performed well while compared to conventional methods.