to facilitate CSC with data-driven approaches, in this paper, we propose a novel approach that automatically constructs Chinese corpora with labeled spelling errors.
given that Chinese spelling errors mainly result from the misuse of visually and phonologically similar characters (Chang, 1995;Liu et al., 2011;Yu and Li, 2014), we propose OCR-based and ASR-based methods to produce the aforementioned two types of misused characters.