Glossary Library

Technical GlossaryNatural Language Processing

Back Translation

A data augmentation strategy based on translating target-language data back into the source language to create synthetic parallel data.

Back translation is one of the most effective strategies for reducing data scarcity in low-resource translation systems. Monolingual target-language data is translated backward to produce synthetic parallel data. This can broaden coverage and improve translation quality. It forms a strong bridge between data augmentation and machine translation.

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Data Augmentation

An approach that expands the training set by transforming existing data to improve model robustness.

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Data Augmentation

A regularization approach that improves generalization by expanding training data through meaningful transformations.

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Mixup

A data-driven regularization technique that mixes training examples and labels so the model learns smoother decision boundaries.