data-augmentation

Vocabulary Word

Definition

'Data augmentation' is a technique to generate more data for your study or project. It's like taking a photo and then creating more - like flipped, zoomed-in, or slightly rotated versions of the original.

Examples in Different Contexts

In natural language processing (NLP), 'data augmentation' can include techniques like synonym replacement or sentence paraphrasing to create more varied linguistic data. An NLP researcher might state, 'Data augmentation is crucial for training our language models to understand and generate text more accurately across different contexts.'

Practice Scenarios

Scenario:

The bot seems to predict the sequence quite accurately, which may be due to overfitting. We should explore ways to introduce more randomness.

Response:

That's a good point. Implementing data augmentation techniques can help us introduce more randomness in the training data.

Quality-Assurance

Scenario:

Our database for testing needs more variation. It's essential that our software functions well under diverse conditions.

Response:

Absolutely, applying data augmentation can help us create more diverse inputs for our testing process.