Making “concreteness” more concrete

Yanting Li, Gregory Scontras, Richard Futrell


Abstract
Concrete words (e.g., apple) are often described in the literature to share more semantic features across languages than abstract words (e.g., appetite). We test this hypothesis using multilingual aligned word embeddings by measuring the distance between words and their nearest neighbor in other languages, and examining whether shorter distances predicted higher concreteness ratings in six languages: Dutch, English, French, Cypriot Greek, Mandarin, and Portuguese. The relationship between concreteness and cross-linguistic distance varied across languages, suggesting that concreteness does not uniformly correspond to cross-linguistic semantic relatedness. Our attempt highlights the potential of using aligned word embeddings for operationalizing psycholinguistic constructs.
Anthology ID:
2026.scil-main.31
Volume:
Proceedings of the Society for Computation in Linguistics 2026
Month:
July
Year:
2026
Address:
San Diego, CA
Editors:
Rob Voigt, Alex Warstadt, Naomi Feldman, Tal Linzen
Venues:
SCiL | WS
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
338–342
Language:
URL:
https://preview.aclanthology.org/ingest-acl-workshops/2026.scil-main.31/
DOI:
Bibkey:
Cite (ACL):
Yanting Li, Gregory Scontras, and Richard Futrell. 2026. Making “concreteness” more concrete. In Proceedings of the Society for Computation in Linguistics 2026, pages 338–342, San Diego, CA. Association for Computational Linguistics.
Cite (Informal):
Making “concreteness” more concrete (Li et al., SCiL 2026)
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PDF:
https://preview.aclanthology.org/ingest-acl-workshops/2026.scil-main.31.pdf