Papers by Ray Groshan
Is linguistically-motivated data augmentation worth it? (2025.acl-long)
Copied to clipboard
| Challenge: | Data augmentation is a widely-used technique for addressing data scarcity. |
| Approach: | They compare linguistically-motivated and linguisticly-naive data augmentation strategies for two low-resource languages with different morphological properties. |
| Outcome: | The proposed methods produce synthetic data that follows all linguistic constraints, but they require linguistic expertise and are more difficult to implement. |