计算机应用与软件2025，Vol.42Issue(7)：12-21,65,11.DOI:10.3969/j.issn.1000-386x.2025.07.002
基于深度学习的英语学习者语法纠错研究综述
A REVIEW OF GRAMMATICAL ERROR CORRECTION FOR ENGLISH LEARNERS BASED ON DEEP LEARNING
摘要
Abstract
This paper proposed a comprehensive survey of deep learning-based grammatical error correction(GEC)from 2015 to 2021.GEC research could be divided into universal and adaptive paradigms under which the basic approaches were analyzed.The types and effects of pre-trained language models,public corpus data and evaluation metrics were introduced.Furthermore,a comprehensive evaluation on major GEC systems'performance was conducted.It is suggested that future research should focus on the following aspects:1)building a suitable and personalized error correction system;2)exploring methods to enhance the reasoning ability of deep analysis models from the following two aspects:(1)exploring the application methods of pre trained language models,and(2)constructing multi model hybrid systems.关键词
语法错误/学习者英语/深度学习/机器翻译/序列标注Key words
Grammatical error/Learner English/Deep learning/Machine translation/Sequence tagging分类
信息技术与安全科学引用本文复制引用
杨林伟..基于深度学习的英语学习者语法纠错研究综述[J].计算机应用与软件,2025,42(7):12-21,65,11.基金项目
山东省高等学校人文社科研究计划项目(J14WD07) （J14WD07）
山东省社会科学规划研究项目(19CWZJ29). （19CWZJ29）
