Year: 2026
Type: conference-paper
Abstract: We present a crowdsourced dataset for Piedmontese, an endangered Romance language of northwestern Italy.The dataset comprises 145 Italian-Piedmontese parallel sentences derived from Flores+, with translations produced by speakers writing in their natural orthographic style rather than adhering to standardized conventions, along with manual word alignment.We use this resource to benchmark several large language models on tokenization parity, topic classification, and machine translation.Our analysis reveals that Piedmontese incurs a tokenization penalty relative to higher-resource Romance languages, yet LLMs achieve classification performance approaching that of Italian, French, and English.Machine translation results are asymmetric: models translate adequately from Piedmontese into high-resource languages, but generation into Piedmontese remains challenging.The dataset and code are publicly released.• Probabilmente corretta, l'avrei scritta in altro modo [Probably correct, I would have written it differently] • Parzialmente corretta [Partially correct] • Totalmente sbagliata o quasi [Totally wrong or almost] • Non lo so [I do not know] • Risposta mancante, offensiva o non pertinente [Missing, offensive or irrelevant response]
Authors: Gianluca Vico, Jindřch Libovický
Institution: Charles University
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W7140082704
FWCI:
Cites:
Cited by:
Related to: