NoCoLA: The Norwegian Corpus of Linguistic Acceptability

Matias Jentoft, David Samuel


Abstract
While there has been a surge of large language models for Norwegian in recent years, we lack any tool to evaluate their understanding of grammaticality. We present two new Norwegian datasets for this task. NoCoLA-class is a supervised binary classification task where the goal is to discriminate between acceptable and non-acceptable sentences. On the other hand, NoCoLA-zero is a purely diagnostic task for evaluating the grammatical judgement of a language model in a completely zero-shot manner, i.e. without any further training. In this paper, we describe both datasets in detail, show how to use them for different flavors of language models, and conduct a comparative study of the existing Norwegian language models.
Anthology ID:
2023.nodalida-1.60
Volume:
Proceedings of the 24th Nordic Conference on Computational Linguistics (NoDaLiDa)
Month:
May
Year:
2023
Address:
Tórshavn, Faroe Islands
Editors:
Tanel Alumäe, Mark Fishel
Venue:
NoDaLiDa
SIG:
Publisher:
University of Tartu Library
Note:
Pages:
610–617
Language:
URL:
https://aclanthology.org/2023.nodalida-1.60
DOI:
Bibkey:
Cite (ACL):
Matias Jentoft and David Samuel. 2023. NoCoLA: The Norwegian Corpus of Linguistic Acceptability. In Proceedings of the 24th Nordic Conference on Computational Linguistics (NoDaLiDa), pages 610–617, Tórshavn, Faroe Islands. University of Tartu Library.
Cite (Informal):
NoCoLA: The Norwegian Corpus of Linguistic Acceptability (Jentoft & Samuel, NoDaLiDa 2023)
Copy Citation:
PDF:
https://aclanthology.org/2023.nodalida-1.60.pdf