Improving Zero-Shot Cross-lingual Transfer Between Closely Related Languages by Injecting Character-Level Noise (2022.findings-acl)
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| Challenge: | Existing approaches to improve cross-lingual transfer do not take surface similarity into account. |
| Approach: | They propose to augment source language training data with character-level noise to simulate spelling variations. |
| Outcome: | The proposed strategy shows consistent improvements over several languages and tasks. |
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