Elections go bananas: A First Large-scale Multilingual Study of Pluralia Tantum using LLMs
Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), EACL 2026, Rabat, Morocco
Presented on , 2 citations on Google Scholar
In short
The paper studies pluralia tantum, nouns that lack a singular form such as "scissors", in Italian, Russian and English, using LLMs as annotators. OpenAI and DeepSeek models reached 51% to 89% accuracy on a hand-annotated test set, and large-scale automatic annotation of corpus sentences revealed patterns of morpho-semantic change.
Cite
@inproceedings{spaziani-etal-2026-elections,
title = "Elections go bananas: A First Large-scale Multilingual Study of Pluralia Tantum using {LLM}s",
author = "Spaziani, Elena and
Zeinalipour, Kamyar and
Cassotti, Pierluigi and
Tahmasebi, Nina",
editor = "Demberg, Vera and
Inui, Kentaro and
Marquez, Llu{\'i}s",
booktitle = "Proceedings of the 19th Conference of the {E}uropean Chapter of the {A}ssociation for {C}omputational {L}inguistics (Volume 1: Long Papers)",
month = mar,
year = "2026",
address = "Rabat, Morocco",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2026.eacl-long.308/",
doi = "10.18653/v1/2026.eacl-long.308",
pages = "6547--6570",
ISBN = "979-8-89176-380-7"
}