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