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The Effect of the Balance of Orthographic Neighborhood Distribution in Visual Word Recognition

Robert, Christelle ; Mathey, Stéphanie ; Zagar, Daniel

In: Journal of Psycholinguistic Research, 2007, vol. 36, no. 5, p. 371-381

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    Title
    • The Effect of the Balance of Orthographic Neighborhood Distribution in Visual Word Recognition
    Author
    • Robert, Christelle. Département de Psychologie, Université Bordeaux2, 3 place de la Victoire, 33076, Bordeaux Cedex, France
    • Mathey, Stéphanie. Département de Psychologie, Université Bordeaux2, 3 place de la Victoire, 33076, Bordeaux Cedex, France
    • Zagar, Daniel. Université de Bourgogne, Pôle AAFE, Esplanade Erasme, BP 26513, 21065, Dijon Cedex, France
    Document Type
    • Postprint
    Language
    • English
    Published in
    • Journal of Psycholinguistic Research, 2007, vol. 36, no. 5, p. 371-381. Kluwer Academic Publishers-Plenum Publishers; http://www.springer-ny.com
    Other Version
    OAI-PMH Identifier
    • oai:doc.rero.ch:313728
    Summary
    The present study investigated whether the balance of neighborhood distribution (i.e., the way orthographic neighbors are spread across letter positions) influences visual word recognition. Three word conditions were compared. Word neighbors were either concentrated on one letter position (e.g.,nasse/basse-lasse-tasse-masse) or were unequally spread across two letter positions (e.g.,pelle/celle-selle-telle-perle), or were equally spread across two letter positions (e.g.,litre/titre-vitre-libre-livre). Predictions based on the interactive activation model [McClelland & Rumelhart (1981). Psychological Review, 88, 375-401] were generated by running simulations and were confirmed in the lexical decision task. Data showed that words were more rapidly identified when they had spread neighbors rather than concentrated neighbors. Furthermore, within the set of spread neighbors, words were more rapidly recognized when they had equally rather than unequally spread neighbors. The findings are explained in terms of activation and inhibition processes in the interactive activation framework