计算机工程与应用2025，Vol.61Issue(20)：36-53,18.DOI:10.3778/j.issn.1002-8331.2412-0070
中文语法纠错技术的研究进展综述
Review of Research Progress in Chinese Grammar Error Correction Technology
摘要
Abstract
The Chinese grammar error correction(CGEC)task aims to automatically correct Chinese sentences containing grammatical errors using natural language processing technology.This task is committed to improving the accuracy and readability of texts,enhancing the effect of information transmission,and showing its indispensable importance in many fields such as news releases,book publishing,voice input,and medical record quality control.This paper first reviews the development of Chinese grammar error correction technology,introduces the commonly used evaluation indicators and public datasets,and analyzes the main challenges faced by Chinese grammar error correction at present,including the lack of training library corpus and excessive correction.In view of these challenges,the paper systematically reviews the tradi-tional error correction methods.Then,the research and application of sequence model method in the field of syntax error correction are further discussed,and they are mainly divided into two categories:sequence-to-sequence(Seq2Seq)-based error correction model and sequence-to-edit(Seq2Edit)-based error correction model.Finally,a new path of syntax error correction based on large language model is systematically sorted out.Based on the perspective of problem solving,this paper analyzes and summarizes various error correction models in detail,and finally looks forward to the challenges and future development directions of Chinese grammar error correction.关键词
语法纠错/深度学习/大语言模型(LLMs)/自然语言处理技术Key words
grammar correction/deep learning/large language models(LLMs)/natural language processing technology分类
信息技术与安全科学引用本文复制引用
句泽东,程春雷,叶青,彭琳,龚著凡..中文语法纠错技术的研究进展综述[J].计算机工程与应用,2025,61(20):36-53,18.基金项目
江西省教育厅科学技术研究项目(GJJ2200923) （GJJ2200923）
江西省自然科学基金(20224BAB206102) （20224BAB206102）
国家自然科学基金(82260988) （82260988）
江西省卫生和计划生育委员会-科技计划项目(202211404). （202211404）
