BLiMP-NL: A Corpus of Dutch Minimal Pairs and Acceptability Judgments for Language Model Evaluation

Open Access
Authors
  • Stefan L. Frank
Publication date 12-2025
Journal Computational Linguistics
Volume | Issue number 51 | 4
Pages (from-to) 1267-1301
Organisations
  • Interfacultary Research - Institute for Logic, Language and Computation (ILLC)
Abstract
We present a corpus of 8,400 Dutch sentence pairs, intended primarily for the grammatical evaluation of language models. Each pair consists of a grammatical sentence and a minimally different ungrammatical sentence. The corpus covers 84 paradigms, classified into 22 syntactic phenomena. Ten sentence pairs of each paradigm were created by hand, while the remaining 90 were generated semi-automatically and manually validated afterwards. Nine of the 10 hand-crafted sentences of each paradigm are rated for acceptability by at least 30 participants each, and for the same 9 sentences reading times are recorded per word, through self-paced reading. Here, we report on the construction of the dataset, the measured acceptability ratings and reading times, as well as the extent to which a variety of language models can be used to predict both the ground-truth grammaticality and human acceptability ratings.
Document type Article
Language English
Related dataset BLiMP-NL: The Benchmark of Linguistic Minimal Pairs for Dutch
Published at
https://doi.org/10.31234/osf.io/mhjbx_v2 (Accepted author manuscript)
https://doi.org/10.1162/COLI_a_00559 (Final published version)
Downloads
coli_a_00559 (Final published version)
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