Chinese Spelling Error Correction
2 papers with code • 0 benchmarks • 0 datasets
Benchmarks
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Most implemented papers
Spelling Error Correction with Soft-Masked BERT
hiyoung123/SoftMaskedBert
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ACL 2020
A state-of-the-art method for the task selects a character from a list of candidates for correction (including non-correction) at each position of the sentence on the basis of BERT, the language representation model.
An Error-Guided Correction Model for Chinese Spelling Error Correction
By borrowing the powerful ability of BERT, we propose a novel zero-shot error detection method to do a preliminary detection, which guides our model to attend more on the probably wrong tokens in encoding and to avoid modifying the correct tokens in generating.
