Chinese spelling check (CSC) is a challenging yet meaningful task, which not only serves as a preprocessing in many natural language processing (NLP) applications, but also facilitates reading and understanding of running texts in peoples' daily lives.
to utilize datadriven approaches for CSC, there is one major limitation that annotated corpora are not enough in applying algorithms and building models.