| Title | Design and Implementation of English Grammar Error Correction System Based on Deep Learning |
| Publication Type | Conference Paper |
| Year of Publication | 2022 |
| Authors | Xu, Xuefei |
| Conference Name | 2022 3rd International Conference on Information Science and Education (ICISE-IE) |
| Keywords | composability, Deep Learning, Education, forward error correction, Grammar, Grammatical Error Correction, information science, Metrics, N-um syntax, pubcrawl, resilience, Resiliency, Syntactics |
| Abstract | At present, our English error correction algorithm is slightly general, the error correction ability is also very limited, and its accuracy rate is also low, so it is very necessary to improve. This article will further explore the problem of syntax error correction, and the corresponding algorithm model will also be proposed. Based on deep learning technology to improve the error correction rate of English grammar, put forward the corresponding solution, put forward the Sep2seq-based English grammar error correction system model, and carry out a series of rectifications to improve its efficiency and accuracy. The basic architecture of TensorFLOW is used to implement the model, and the success of the error correction algorithm model is proved, which brings great improvement and progress to the success of error correction. |
| DOI | 10.1109/ICISE-IE58127.2022.00023 |
| Citation Key | xu_design_2022 |
Design and Implementation of English Grammar Error Correction System Based on Deep Learning