Špela Arhar Holdt — accepted AI-conference papers

2024

SUK 1.0: A New Training Corpus for Linguistic Annotation of Modern Standard Slovene

Špela Arhar Holdt, Jaka Čibej, Kaja Dobrovoljc, Tomaž Erjavec, Polona Gantar, Simon Krek +4

COLING 2024main

This paper introduces the upgrade of a training corpus for linguistic annotation of modern standard Slovene. The enhancement spans both the size of the corpus and the depth of annotation layers. The revised SUK 1.0 corpus, building on its predecessor ssj500k 2.3, has doubled in size, containing over…

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2024

Towards an Ideal Tool for Learner Error Annotation

Špela Arhar Holdt, Tomaž Erjavec, Iztok Kosem, Elena Volodina

COLING 2024main

Annotation and analysis of corrections in learner corpora have always presented technical challenges, mainly on account of the fact that until now there has not been any standard tool available, and that original and corrected versions of texts have been mostly stored together rather than treated as…

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