Field of Study:

Data Augmentation is a strategy used to increase the amount and diversity of data. It involves creating new synthetic data by slightly altering the existing data, such as changing the word order, replacing words with their synonyms, or translating sentences to another language and then back to the original language. This technique helps improve the performance and robustness of NLP models by providing more varied training data.