Data Augmentation Techniques with NLP

Few NLP-based data/text augmentation techniques to bring more diversity to the dataset.

There are several augmentation techniques, in this repository, I tried two augmentation techniques:

• Adding synonyms/antonyms to the dictionary

  For example:

  Synonym: I like pasta. Like synonyms: alike, same, similar, etc
  Antonym: I like pasta. Like Antonyms: dislike, unlike, dissimilar, etc
  

• Back translation

  Translating a given source language to a target language and then translating back to the source language.

  For example:

  source lang: EN --> I have no time
  target lang: FR --> je n'ai pas le temps
  
  back translation: EN --> I do not have time             
  

This is a practice repository to get familiar with different NLP techniques. ❤️