Chinese spelling correction (CSC) is a difficult but gratifying work that not only helps
individuals read and understand the material in their daily lives but also serves as pre …

Recently, Bert-based models have dominated the research of Chinese spelling correction
(CSC). These methods have two limitations:(1) they have poor performance on multi-typo …

In this paper, we study Chinese Spelling Correction (CSC) as a joint decision made by two
separate models: a language model and an error model. Through empirical analysis, we …

Chinese Spelling Error Correction is a hot subject in the field of natural language
processing. Researchers have already produced many great solutions, from the initial rule …

A sequence-to-sequence learning with neural networks has empirically proven to be an
effective framework for Chinese Spelling Correction (CSC), which takes a sentence with …

Chinese spelling correction (CSC), which is designed to detect and correct typos in the text,
is an important and challenging task that has attracted increasing attention. Current CSC …

Chinese spelling correction (CSC) is a challenging task with the goal of correcting each
wrong character in Chinese texts. Incorrect characters in a Chinese text are mainly due to …

This paper studies Chinese Spelling Correction (CSC), which aims to detect and correct
potential spelling errors in a given sentence. Current state-of-the-art methods regard CSC as …

Existing BERT-based models for Chinese spelling correction (CSC) have three issues. 1)
Bert tends to rectify a correct low-frequency collocation into a high-frequency one and leads …

Although existing neural network approaches have achieved great success on Chinese
spelling correction, there is still room to improve. The model is required to avoid over …