中文文本拼写纠错研究综述

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中图分类号：TP391.1；TP301.1 文献标识码：A 文章编号：2096-4706（2025）08-0138-08

Abstract：Chinese Spelling Correction（CSC）isacrucial foundational task inNaturalLanguage Processing （NLP），and providessupport forthedownstreamtasks andresearch.Theresearch in the fieldofCSCtaskscontinues to develop，mainly divided into eror corrction methods based onN-Gram language models，Deep Leaming，andLarge Language Models （LLMs）. Firstly，techaracteristicsoftheN-GamlnguagemodelanditsapplicationinCSCareanalyzed，rvealingitsadvatagesin capturing contextual information.Secondly，methodsbasedonDepLearning improve theaccuracyof error coectionthrough deep neural networksand are widelyused in Chinese text procesing.Atthesame time，theriseofLLMs provides new ideas for speling correction，demonstrating their enormous potentialindealing withcomplex languagephenomena.Thisreviewprovides adetailedoverviewofthecurrentresearchstatusintheCSCfeld，providingareferenceforscholars engaged inrelatedresearch.

Keywords： Chinese text; spelling correction; N-Gram language model; Deep Learning; Large Language Model

0 引言

中文文本拼写错误（CSC）是自然语言处理（NLP）领域的一个重要的基础研究方向，其目的是检测和纠正文本中出现的拼写错误，为后续的文本分析、信息检索、文本生成等任务提供了干净、准确的输入数据。（剩余13506字）