ORIGINAL RESEARCH ARTICLE published: 28 April 2014 doi: 10.3389/fpsyg.2014.00360 Clustering, hierarchical organization, and the topography of abstract and concrete nouns Joshua Troche 1*, Sebastian Crutch 2 and Jamie Reilly 3,4 1 Department of Speech, Language, and Hearing Sciences, University of Florida, Gainesville, FL, USA 2 Department of Neurodegenerative Disease, Dementia Research Centre, Institute of Neurology, University College London, London, UK 3 Eleanor Saffran Center for Cognitive Neuroscience, Temple University, Philadelphia, PA, USA 4 Department of Communication Sciences and Disorders, Temple University, Philadelphia, PA, USA Edited by: The empirical study of language has historically relied heavily upon concrete word Guy Dove, University of Louisville, stimuli. By definition, concrete words evoke salient perceptual associations that fit well USA within feature-based, sensorimotor models of word meaning. In contrast, many theorists Reviewed by: argue that abstract words are “disembodied” in that their meaning is mediated through Serge Thill, University of Skövde, Sweden language. We investigated word meaning as distributed in multidimensional space using David Vinson, University College hierarchical cluster analysis. Participants (N = 365) rated target words (n = 400 English London, UK nouns) across 12 cognitive dimensions (e.g., polarity, ease of teaching, emotional valence). *Correspondence: Factor reduction revealed three latent factors, corresponding roughly to perceptual Joshua Troche, University of Florida, salience, affective association, and magnitude. We plotted the original 400 words for 336 Dauer Hall, PO Box 100174, Gainesville, FL 32610, USA the three latent factors. Abstract and concrete words showed overlap in their topography e-mail:
[email protected]fl.edu but also differentiated themselves in semantic space.