natural-language-processing-5

Chinese Spelling Error Correction

3260 papers • 126 benchmarks • 313 datasets

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Most implemented papers

Spelling Error Correction with Soft-Masked BERT

Shaohua Zhang, Haoran Huang, Jicong Liu, Hang Li•Thu May 14 2020

A novel neural architecture is proposed to address the issue of Chinese spelling error correction, which consists of a network for error detection and anetwork for error correction based on BERT, with the former being connected to the latter with what is called soft-masking technique.

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An Error-Guided Correction Model for Chinese Spelling Error Correction

Ruiyong Sun, Xiuyu Wu, Yunfang Wu•Sun Jan 15 2023

A novel zero-shot error detection method is proposed to do a preliminary detection, which guides the EGM to attend more on the probably wrong tokens in encoding and to avoid modifying the correct tokens in generating, and a new loss function to integrate the error confusion set is introduced.

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