GitHub Typo Corpus: A Large-Scale Multilingual Dataset of Misspellings and Grammatical Errors
Table 2: The cross validation result of typo edit classifiers
['Language', 'Precision', 'Recall', 'F1']
We then built a logistic regression classifier (with no regularization) per language using the annotated edits and their labels. The classifier has only three features mentioned above plus a bias term. We confirmed that, for every language, all the features are contributing to the prediction of typo edits controlling for other features in a statistically significant way (p