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Found 3 papers, 2 papers with code
Improving Chinese Grammatical Error Detection via Data augmentation by Conditional Error Generation
The generative model may bring too many changes to the original sentences and generate semantically ambiguous sentences, so it is difficult to detect grammatical errors in these generated sentences.
CRASpell: A Contextual Typo Robust Approach to Improve Chinese Spelling Correction
These methods have two limitations: (1) they have poor performance on multi-typo texts.
PLOME: Pre-training with Misspelled Knowledge for Chinese Spelling Correction
In this paper, we propose a Pre-trained masked Language model with Misspelled knowledgE (PLOME) for CSC, which jointly learns how to understand language and correct spelling errors.
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