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Iben Nyholm Debess

2 accepted papers

2024

Evaluating the Potential of Language-family-specific Generative Models for Low-resource Data Augmentation: A Faroese Case Study

COLING 2024main

We investigate GPT-SW3, a generative language model for the Nordic languages, to assess its understanding of the low-resourced Faroese language. Our aim is to demonstrate the advantages of using language-family-specific generative models to augment data for related languages with fewer resources. We…

Cited by 3SourcePDFScholar
2024

Good or Bad News? Exploring GPT-4 for Sentiment Analysis for Faroese on a Public News Corpora

COLING 2024main

Sentiment analysis in low-resource languages presents unique challenges that Large Language Models may help address. This study explores the efficacy of GPT-4 for sentiment analysis on Faroese news texts, an uncharted task for this language. On the basis of guidelines presented, the sentiment analys…

Cited by 3SourcePDFScholar