Evaluating the Potential of Language-family-specific Generative Models for Low-resource Data Augmentation: A Faroese Case Study (2024.lrec-main)
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| Challenge: | generative language models have shown promising results for translation in zero, one, and fewshot learning settings, among other types of tasks. |
| Approach: | They propose to prompt a generative language model for the Nordic languages for Faroese to English translation in a zero, one, and few-shot setting and challenge its Farose language understanding capabilities on a small dataset. |
| Outcome: | The proposed model can translate Faroese to English in a zero, one, and few-shot setting and then use it to create an annotated Farose semantic textual similarity (STS) dataset. |
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