Papers by Marko Pranjić

1 papers
LLMSegm: Surface-level Morphological Segmentation Using Large Language Model (2024.lrec-main)

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Challenge: Existing approaches to morphological segmentation split word into its morphemes . LLMSegm is applicable in low-data settings and low-resourced languages .
Approach: They propose a novel approach to surface-level morphological segmentation leveraging large language models.
Outcome: The proposed method is applicable in low-data settings and low-resource languages.

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