Augmenty is an augmentation library based on spaCy for augmenting texts. Besides a wide array of highly flexible augmenters, Augmenty provides a series of tools for working with augmenters, including combining and moderating augmenters. Augmenty differs from other augmentation libraries in that it corrects (as far as possible) the assigned labels under the augmentation, thus making many of the augmenters valid for training more than simply sentence classification. The package is free available on GitHub and you can always try out a demo here.

Kenneth Enevoldsen
Kenneth Enevoldsen
PhD student in Multimodal Representation Learning

My research interests is in multimodal representation learning with application in decision support systems in Psychiatry and in the Covid-19 response.