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 # NLP - Tutorial
-Repository to show how NLP can tacke real problem. Including the source code, dataset, state-of-the art in NLP
+Repository to show how NLP can tackle real-life problems.
+
+It includes the source code and datasets needed to understand state-of-the art NLP.
 
 ## Data Augmentation
 *   [Data Augmentation in NLP](https://towardsdatascience.com/data-augmentation-in-nlp-2801a34dfc28)
 *   [Data Augmentation library for Text](https://towardsdatascience.com/data-augmentation-library-for-text-9661736b13ff)
-*   [Does your NLP model able to prevent adversarial attack?](https://medium.com/hackernoon/does-your-nlp-model-able-to-prevent-adversarial-attack-45b5ab75129c)
+*   [Is your NLP model able to prevent an adversarial attack?](https://medium.com/hackernoon/does-your-nlp-model-able-to-prevent-adversarial-attack-45b5ab75129c)
 *   [How does Data Noising Help to Improve your NLP Model?](https://medium.com/towards-artificial-intelligence/how-does-data-noising-help-to-improve-your-nlp-model-480619f9fb10)
 *   [Data Augmentation library for Speech Recognition](https://towardsdatascience.com/data-augmentation-for-speech-recognition-e7c607482e78)
 *   [Data Augmentation library for Audio](https://towardsdatascience.com/data-augmentation-for-audio-76912b01fdf6)
-*   [Unsupervied Data Augmentation](https://medium.com/towards-artificial-intelligence/unsupervised-data-augmentation-6760456db143)
+*   [Unsupervised Data Augmentation](https://medium.com/towards-artificial-intelligence/unsupervised-data-augmentation-6760456db143)
 *   [Adversarial Attacks in Textual Deep Neural Networks](https://medium.com/towards-artificial-intelligence/adversarial-attacks-in-textual-deep-neural-networks-245dc90029df)