Chinese Spelling Correction: A Comprehensive Survey of Progress, Challenges, and Opportunities

Fuente: arXiv
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Main Authors: Liu, Changchun, Zhang, Kai, Jiang, Junzhe, Kong, Zixiao, Liu, Qi, Chen, Enhong
Format: Preprint
Published: 2025
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author Liu, Changchun
Zhang, Kai
Jiang, Junzhe
Kong, Zixiao
Liu, Qi
Chen, Enhong
author_facet Liu, Changchun
Zhang, Kai
Jiang, Junzhe
Kong, Zixiao
Liu, Qi
Chen, Enhong
contents Chinese Spelling Correction (CSC) is a critical task in natural language processing, aimed at detecting and correcting spelling errors in Chinese text. This survey provides a comprehensive overview of CSC, tracing its evolution from pre-trained language models to large language models, and critically analyzing their respective strengths and weaknesses in this domain. Moreover, we further present a detailed examination of existing benchmark datasets, highlighting their inherent challenges and limitations. Finally, we propose promising future research directions, particularly focusing on leveraging the potential of LLMs and their reasoning capabilities for improved CSC performance. To the best of our knowledge, this is the first comprehensive survey dedicated to the field of CSC. We believe this work will serve as a valuable resource for researchers, fostering a deeper understanding of the field and inspiring future advancements.
format Preprint
id arxiv_https___arxiv_org_abs_2502_11508
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Chinese Spelling Correction: A Comprehensive Survey of Progress, Challenges, and Opportunities
Liu, Changchun
Zhang, Kai
Jiang, Junzhe
Kong, Zixiao
Liu, Qi
Chen, Enhong
Computation and Language
Artificial Intelligence
Chinese Spelling Correction (CSC) is a critical task in natural language processing, aimed at detecting and correcting spelling errors in Chinese text. This survey provides a comprehensive overview of CSC, tracing its evolution from pre-trained language models to large language models, and critically analyzing their respective strengths and weaknesses in this domain. Moreover, we further present a detailed examination of existing benchmark datasets, highlighting their inherent challenges and limitations. Finally, we propose promising future research directions, particularly focusing on leveraging the potential of LLMs and their reasoning capabilities for improved CSC performance. To the best of our knowledge, this is the first comprehensive survey dedicated to the field of CSC. We believe this work will serve as a valuable resource for researchers, fostering a deeper understanding of the field and inspiring future advancements.
title Chinese Spelling Correction: A Comprehensive Survey of Progress, Challenges, and Opportunities
topic Computation and Language
Artificial Intelligence
url https://arxiv.org/abs/2502.11508