Spelling error correction is one of topics which have a long history in natural language
processing. Although previous studies have achieved remarkable results, challenges still …

In this paper, we propose a Hierarchical Transformer model for Vietnamese spelling
correction problem. The model consists of multiple Transformer encoders and utilizes both …

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 …

Spelling error correction is an important yet challenging task because a satisfactory solution
of it essentially needs human-level language understanding ability. Without loss of …

Recent progress has been made in using BERT framework for Chinese spelling error
correction (CSC). However, most existing methods correct words based on local contextual …

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 …

Chinese spelling correction (CSC) is a task to detect and correct spelling errors in texts. CSC
is essentially a linguistic problem, thus the ability of language understanding is crucial to this …

Chinese spelling correction (CSC) is an important yet challenging task. Existing state-ofthe-
art methods either only use a pre-trained language model or incorporate phonological …

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 …

Abstract The Chinese Spelling Correction (CSC) task aims to detect and correct misspelled
characters in Chinese text, and has received lots of attention in the past few years. Most …