In addition, to illustrate its effectiveness, we compare it with two publicly available confusion sets (Liu et al., 2009), Con1 and Con2.
since 戒 and 禁 are neither visually nor phonologically similar, the proposed corpus generation approach is unable to construct such spelling errors, so it is understandable that the trained model can not detect such spelling errors.