@inproceedings{haley-etal-2025-grounded,
title = "A Grounded Typology of Word Classes",
author = "Haley, Coleman and
Goldwater, Sharon and
Ponti, Edoardo",
editor = "Chiruzzo, Luis and
Ritter, Alan and
Wang, Lu",
booktitle = "Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)",
month = apr,
year = "2025",
address = "Albuquerque, New Mexico",
publisher = "Association for Computational Linguistics",
url = "https://preview.aclanthology.org/fix-sig-urls/2025.naacl-long.521/",
pages = "10380--10399",
ISBN = "979-8-89176-189-6",
abstract = "In this work, we propose a grounded approach to meaning in language typology. Using images captioned across languages, we can treat the images as an empirical language agnostic representation of meaning, allowing the quantification of language function and semantics. Using principles from information theory, we define ``groundedness'', an empirical measure of contextual semantic contentfulness which can be computed using multilingual (vision-and-)language models. As an initial application, we apply this measure to the typology of word classes. We find our measure captures the contentfulness asymmetry between functional (grammatical) and lexical (content) classes across languages, but contradicts the view that functional classes do not convey content. We release a dataset of groundedness scores for 30 languages. Our results suggest that the grounded typology approach can provide quantitative evidence about semantic function in language."
}
Markdown (Informal)
[A Grounded Typology of Word Classes](https://preview.aclanthology.org/fix-sig-urls/2025.naacl-long.521/) (Haley et al., NAACL 2025)
ACL
- Coleman Haley, Sharon Goldwater, and Edoardo Ponti. 2025. A Grounded Typology of Word Classes. In Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), pages 10380–10399, Albuquerque, New Mexico. Association for Computational Linguistics.