Development of Text Error Correction Techniques in Chinese Corpus

Tongming Liu

2024

Abstract

As the number of Chinese learners around the world continues to increase, the demand for high-quality copywriting continues to increase. High-accuracy and efficient Chinese text error correction models have increasingly important research significance. Chinese text error correction technology that has emerged in recent years can be divided into two directions: Chinese spelling correction and Chinese grammar error correction. These latest methods and models include PLOME, PHMOSpell, MaskGEC, etc., which exceed previous models in performance. At the same time, there are still certain issues in the field of Chinese text error correction that need to be addressed, like generalization abilities and over- correction. This article aims to present a comprehensive overview of recent advancements in Chinese text error correction methods and models. It will address the current challenges in this research field, providing valuable insights for scholars interested in Chinese text error correction technology. By shedding light on the development status and key issues, this article seeks to facilitate the advancement of this domain.

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Paper Citation


in Harvard Style

Liu T. (2024). Development of Text Error Correction Techniques in Chinese Corpus. In Proceedings of the 1st International Conference on Data Science and Engineering - Volume 1: ICDSE; ISBN 978-989-758-690-3, SciTePress, pages 364-370. DOI: 10.5220/0012842300004547


in Bibtex Style

@conference{icdse24,
author={Tongming Liu},
title={Development of Text Error Correction Techniques in Chinese Corpus},
booktitle={Proceedings of the 1st International Conference on Data Science and Engineering - Volume 1: ICDSE},
year={2024},
pages={364-370},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012842300004547},
isbn={978-989-758-690-3},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Data Science and Engineering - Volume 1: ICDSE
TI - Development of Text Error Correction Techniques in Chinese Corpus
SN - 978-989-758-690-3
AU - Liu T.
PY - 2024
SP - 364
EP - 370
DO - 10.5220/0012842300004547
PB - SciTePress