Dutch norms for 129 animal names from 5 different categories and 166 artifact names from 6 categories. For each category there's an extensive set of exemplar judgments (e.g., typicality, age-of-acquisition, familiarity, etc.), pairwise similarities, and exemplar feature judgments. A full description and materials is available at the Leuven Concept workshop page.
De Deyne, S., Verheyen, S., Ameel, E., Vanpaemel, W., Dry, M., Voorspoels, W., Storms, G. (2008). Exemplar by feature applicability matrices and other Dutch normative data for semantic concepts. Behavior Research Methods, 40 (4), 1030-1048.
Word association data in Dutch covering 12,571 cue words and 3,771,300 responses. These data are freely available for research purposes and can be downloaded from the Small World of Words page.
De Deyne, S., Navarro, D., Storms, G. (2013). Better explanations of lexical and semantic cognition using networks derived from continued rather than single word associations. Behavior Research Methods, 45 (2), 480-498.
Ratings for concreteness and age-of-acquisition for 30,000 Dutch words available as an Excel file at the Center for Reading Research, University of Ghent.
Brysbaert, M., Stevens, M., De Deyne, S., Voorspoels, W., Storms, G. (2014). Norms of age of acquisition and concreteness for 30,000 Dutch words. Acta Psychologica, 150, 80-84.
Triadic comparison data
This file contains the data for each of 4 experiments described in the paper covering remote (Experiment 1, 2), domain (Experiment 3) and basic category (Experiment 4) triad stimuli.
R code for likelihoodtests
Alternative Bayesian likelihood test for the triadic preferences (code by Danielle Navarro, see paper for details).
De Deyne, S., Navarro, D., Perfors, A., Storms, G. (2016). Structure at every scale: A semantic network account of the similarities between unrelated concepts. Journal of Experimental Psychology. General, 145, 1228-1254.
De Deyne, S., Navarro, D. J., Perfors, A., Brysbaert, M., & Storms, G. (2019). The “Small World of Words” English word association norms for over 12,000 cue words. Behavior Research Methods, 51(3), 987-1006, DOI 10.3758/s13428-018-1115-7.
De Deyne, S., Perfors, A., Navarro, D. (2016). Predicting human similarity judgments with distributional models: The value of word associations. Proceeding of the Computational Linguistics Conference (COLING), Osaka, Japan.
De Deyne, S., Navarro, D.J., Collell, G. and Perfors, A. (2021), Visual and Affective Multimodal Models of Word Meaning in Language and Mind. Cognitive Science, 45: e12922. https://doi.org/10.1111/cogs.12922