Papers by Teodora Vuković

1 papers
NLP for preserving Torlak, a vulnerable low-resource Slavic language (2025.coling-main)

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Challenge: Torlak is an endangered, low-resource Slavic language with a high degree of areal and inter-speaker variation.
Approach: They aim to improve the prediction of morphosyntactic annotations for this low-resource Slavic language using the fine-tuning of large language models.
Outcome: The proposed models improve the prediction of morphosyntactic annotations for Torlak using fine-tuning of large language models.

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