TLDR
In this article, we’ll go through all the major data augmentation methods for NLP that you can use to increase the size of your textual dataset and improve your model performance. Augmentation methods are super popular in computer vision applications but they are just as powerful for N.LP. In computer vision, these transformations are done on the go using data generators, but in N.L. A new augmented dataset is generated beforehand and later fed into data loaders to train the model. The main methods discussed here are used before training.via the TL;DR App
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