Abstract
Abstract
Grammar error correction is one of the most important research fields in natural language processing, while grammar checker is the tool to help people correct grammatical error. We focus our work on researching a better approach to an online grammar checker system to help people correct the grammatical error in their text more precisely, user-friendly, and efficiently. This new method of online grammar checker system is based on neural network model, Transformer, and is able to detect about 25 different types of grammatical errors in the text. We did the evaluation on our new online grammar checker system, and the final experiment results proved that we have found a good approach to the online grammar checker system.
Subject
General Physics and Astronomy
Reference35 articles.
1. Parallel iterative edit models for local sequence transduction;Awasthi,2019
2. Neural machine translation by jointly learning to align and translate;Bahdanau,2014
3. The BEA-2019 shared task on grammatical error correction;Bryant,2019
4. GramCheck: A grammar and style checker;Bustamante,1996
Cited by
3 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献