Chinese Text Error Correction
1 repo
A cluster focused on building and fine-tuning models for detecting and correcting errors in Chinese text. The repositories center on Chinese Spelling Correction (CSC) and related NLP tasks, with multiple implementations at different model scales (1.5B to 7B parameters). This area combines language model training, error detection pipelines, and practical tools for improving Chinese text quality across applications.
