Publication: Improving Zero-Shot Cross-lingual Transfer Between Closely Related Languages by Injecting Character-Level Noise
Improving Zero-Shot Cross-lingual Transfer Between Closely Related Languages by Injecting Character-Level Noise
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Aepli, N., & Sennrich, R. (2022). Improving Zero-Shot Cross-lingual Transfer Between Closely Related Languages by Injecting Character-Level Noise. 4074ā4083. https://aclanthology.org/2022.findings-acl.321
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Cross-lingual transfer between a high-resource language and its dialects or closely related language varieties should be facilitated by their similarity. However, current approaches that operate in the embedding space do not take surface similarity into account. This work presents a simple yet effective strategy to improve cross-lingual transfer between closely related varieties. We propose to augment the data of the high-resource source language with character-level noise to make the model more robust towards spelling variations. Our
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Aepli, N., & Sennrich, R. (2022). Improving Zero-Shot Cross-lingual Transfer Between Closely Related Languages by Injecting Character-Level Noise. 4074ā4083. https://aclanthology.org/2022.findings-acl.321
