most citedCorrecting the Autocorrect: Context-Aware Typographical Error Correction via Training Data Augmentation

2 citations · 2 across the 1 of their papers we have counts for

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cs.CL2020★ 2 cited

Correcting the Autocorrect: Context-Aware Typographical Error Correction via Training Data Augmentation

Kshitij Shah, Gerard de Melo

In this paper, we explore the artificial generation of typographical errors based on real-world statistics. We first draw on a small set of annotated data to compute spelling error…