Challenge: Existing spell checkers for Chinese are based on denoising autoencoder and decoder paradigms that require a small amount of data to be effective.
Approach: They propose a Chinese spell checker based on a new paradigm which consists of a denoising autoencoder and a decoder.
Outcome: The proposed spell checker is faster, more Adaptable to simplified and traditional Chinese texts and has a much simpler structure to be as much Powerful in error detection and correction.

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Challenge: Recent years, Chinese Spelling Check (CSC) has been greatly improved by designing task-specific pre-training methods or introducing auxiliary tasks.
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