Search results>Research output from LINDAT/CLARIN digital library at the Institute of Formal and Applied Linguistics (ÚFAL), Faculty of Mathematics and Physics, Charles University
oaioai:lindat.mff.cuni.cz:11372/LRT-6086

Crowdsourcing Piedmontese to Test LLMs on Non-Standard Orthography

Authors
Publication date
8 February 2026
Publisher
Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)

Abstract

This dataset contains data for testing machine translation and topic classification in Piedmontese. It is based on FLORES+ (NLLB Team et al., 2024) and SIB-200: A Simple, Inclusive, and Big Evaluation Dataset for Topic Classification in 200+ Languages and Dialects (Adelani et al., EACL 2024)

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This paper was published in LINDAT/CLARIN digital library at the Institute of Formal and Applied Linguistics (ÚFAL), Faculty of Mathematics and Physics, Charles University.

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