Spelling Correction

MIT licenseDPCSpell-Bangla-SEC-Corpus is a large-scale parallel corpus for Bangla spelling error correction.

Are you the kind of person who makes a lot of typos when writing code? Or are you the one who fixes them by making "fix typo" commits? Either way, thank you—you contributed to the state-of-the-art in the NLP field. GitHub Typo Corpus is a large-scale dataset of misspellings and grammatical errors along with their corrections harvested from GitHub. It contains more than 350k edits and 65M characters in more than 15 languages, making it the largest dataset of misspellings to date. Source: GitHub

Chinese Spelling Correction Dataset for errors generated by pinyin IME (CSCD-IME), a dataset containing 40,000 annotated sentences from real posts of official media on Sina Weibo. It is designed to detect and correct spelling mistakes in Chinese texts. Source: CSCD-IME: Correcting Spelling Errors Generated by Pinyin IME Image Source: https://github.com/nghuyong/cscd-ime

MCSCSet is a large-scale specialist-annotated dataset, designed for the task of Medical-domain Chinese Spelling Correction that contains about 200k samples. MCSCSet involves: i) extensive real-world medical queries collected from Tencent Yidian, ii) corresponding misspelled sentences manually annotated by medical specialists. Source: MCSCSet: A Specialist-annotated Dataset for Medical-domain Chinese Spelling Correction Image Source: https://arxiv.org/pdf/2210.11720v1.pdf

We introduce a first Vietnamese Spelling Correction dataset containing manual labelling mistakes and corresponding correct words.