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Data-adaptive Transfer Learning for Translation: A Case Study in Haitian and Jamaican
Our experiments suggest that for some languages beyond a threshold of authentic data, back-translation augmentation methods are counterproductive, while cross-lingual transfer from a sufficiently related language is preferred.
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