Chinese spelling check (CSC) is a task that is both challenging and important, with wide
applications in many fields. This paper proposes a multimodal approach to CSC problems …

Spelling errors in textual content may significantly hinder communication and
comprehension, particularly in formal writing, such as news or reports. Thus, it becomes …

This paper describes the Chinese spelling correction system submitted by BIT at CLP Bake-
off 2014 task 2. The system mainly includes two parts: 1) N-gram model is adopted to …

Though there has been a large body of recent works in language modeling for high resource
languages such as English and Chinese, the area is still unexplored for low resource …

In response to the problem of model performance being affected by incorrect pronunciation
or glyph when fusing semantic, phonetic and glyph information of Chinese characters …

In this article, we make use of sequence-to-sequence (seq2seq) models for spelling
correction in the agglutinative Turkish language. In the baseline system, misspelled and …

Chinese Spelling Correction (CSC) is an important natural language processing task.
Existing methods for CSC mostly utilize BERT models, which select a character from a …

The lack of label data is one of the significant bottlenecks for Chinese Spelling Check.
Existing researches use the automatic generation method by exploiting unlabeled data to …

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 …

Spell Correction is a widely referred problem in natural language processing. Since spelling
errors prevent perfect transmission of the author's intended concepts to the audience, writers …