Leuven Concept Database

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.

Dutch Word Association Lexicon

The current collection consists of 12,571 cue words and 3,771,300 responses. These data are freely available for research purposes. Please contact me through email to receive instructions on how to get the most recent data.

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.

English Word Associations Lexicon

Currently the word associations for 10,000 cue words are completed. A first version of this dataset will be made available upon completion of the 12,000 cue words, but let me know if you already want to access the preliminary data. More news and progress updates can be found on the SWOW project page.

Dutch age-of-acquisition and concreteness data

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.

Dutch Triad data

  • Triadic comparison preferences
    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 Dan 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.

English Triad data

  • Remote Triads
    Triadic relatedness preferences made by 40 participants for a set of 100 remote triads.
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.

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