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SimLex-999 for Modern Greek

Proceedings of the SIGUL 2026 Joint Workshop with ELE, EURALI, and DCLRL "Towards Inclusivity and Equality: Language Resources and Technologies for Under-Resourced and Endangered Languages

DOI:10.63317/2ynm43iouxft

Abstract

Human judgements of word similarity have been a core benchmark for the intrinsic evaluation of word embedding models, and continue to be used for assessing the capabilities of large language models. While word similarity benchmarks have been collected for a range of languages, none existed for Greek. We develop a Modern Greek variant of the SimLex-999 word similarity dataset by gathering similarity judgements from 90 native speakers of Greek. We then use this as a benchmark for intrinsically evaluating several Greek language models.

Details

Paper ID
lrec2026-ws-sigul-13
Pages
pp. 119-125
BibKey
mylonadis-etal-2026-simlex
Editors
Atul Kr. Ojha, Sakriani Sakti, Claudia Soria, Maite Melero, John P. McCrae, Constantine Lignos, Chao-Hong Liu, German Rigau Claramunt, Georg Rehm
Publisher
European Language Resources Association (ELRA)
ISSN
N/A
ISBN
N/A
Workshop
Proceedings of the SIGUL 2026 Joint Workshop with ELE, EURALI, and DCLRL "Towards Inclusivity and Equality: Language Resources and Technologies for Under-Resourced and Endangered Languages
Location
Palma, Mallorca, Spain
Date
11 - 16 May 2026

Authors

  • LM

    Leonidas Mylonadis

  • JB

    Jelke Bloem

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