Context-aware Stand-alone Neural Spelling Correction

• URL: http://arxiv.org/abs/2011.06642v1
• Date: Thu, 12 Nov 2020 20:34:49 GMT
• Title: Context-aware Stand-alone Neural Spelling Correction
• Authors: Xiangci Li, Hairong Liu, Liang Huang
• Abstract summary: We present a simple yet powerful solution that jointly detects and corrects misspellings as a sequence labeling task by fine-turning a pre-trained language model. Our solution outperforms the previous state-of-the-art result by 12.8% absolute F0.5 score.
• Score: 11.643354740136953
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Existing natural language processing systems are vulnerable to noisy inputs resulting from misspellings. On the contrary, humans can easily infer the corresponding correct words from their misspellings and surrounding context. Inspired by this, we address the stand-alone spelling correction problem, which only corrects the spelling of each token without additional token insertion or deletion, by utilizing both spelling information and global context representations. We present a simple yet powerful solution that jointly detects and corrects misspellings as a sequence labeling task by fine-turning a pre-trained language model. Our solution outperforms the previous state-of-the-art result by 12.8% absolute F0.5 score.

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