Ludovic Ferrand, Alain Méot, Elsa Spinelli, Boris New, Christophe Pallier, Patrick Bonin, Stéphane Dufau, Sebastiaan Mathôt & Jonathan Grainger.
Megalex is a database of visual and auditory lexical decision
times and accuracy rates for tens of thousands of words. We
collected visual lexical decision data for 28,466 French words
and the same number of pseudowords, and auditory lexical
decision data for 17,876 French words and the same number
of pseudowords (synthesized tokens were used for the auditory modality). This constitutes the first large-scale database for au-
ditory lexical decision, and the first database to enable a direct comparison of word recognition in different modalities.
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Megalex raw data.zip (75 Mo)
More informations
For more information you can read the following article:
Ferrand, L., Méot, A., Spinelli, E., New, B., Pallier, C., Bonin, P., Dufau, S., Mathôt, S., & Grainger, J. (2017). MEGALEX: A megastudy of visual and auditory word recognition. Behavior Research Methods.