1.

What is meant by data augmentation? What are some of the ways in which data augmentation can be done in NLP projects?

Answer»

NLP has some METHODS through which we can take a small DATASET and use that in order to create more DATA. This is called data augmentation. In this, we use LANGUAGE properties to create text that is syntactically similar to the source text data. 

Some of the ways in which data augmentation can be done in NLP projects are as follows:

  • Replacing entities
  • TF-IDF–based word replacement
  • Adding noise to data
  • Back translation
  • Synonym replacement
  • Bigram flipping


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