Please use this identifier to cite or link to this item:
http://hdl.handle.net/11375/22538
Title: | Competition between conceptual relations affects compound recognition: the role of entropy |
Authors: | Schmidtke, Daniel Kuperman, Victor Gagné, Christina Thomas, Spalding |
Department: | Cognitive Science of Language |
Keywords: | Word recognition;Morphology;Entropy;Lexical decision;Conceptual combination |
Publication Date: | 1-Apr-2016 |
Publisher: | Springer |
Citation: | Schmidtke, D., Kuperman, V., Gagné, C. L., & Spalding, T. L. (2016). Competition between conceptual relations affects compound recognition: the role of entropy. Psychonomic Bulletin & Review, 23(2), 556-570. |
Abstract: | Previous research has suggested that the conceptual representation of a compound is based on a relational structure linking the compound’s constituents. Existing accounts of the visual recognition of modifier–head or noun–noun compounds posit that the process involves the selection of a relational structure out of a set of competing relational structures associated with the same compound. In this article, we employ the information-theoretic metric of entropy to gauge relational competition and investigate its effect on the visual identification of established English compounds. The data from two lexical decision megastudies indicates that greater entropy (i.e., increased competition) in a set of conceptual relations associated with a compound is associated with longer lexical decision latencies. This finding indicates that there exists competition between potential meanings associated with the same complex word form. We provide empirical support for conceptual composition during compound word processing in a model that incorporates the effect of the integration of co-activated and competing relational information. |
URI: | http://hdl.handle.net/11375/22538 |
Identifier: | https://doi.org/10.3758/s13423-015-0926-0 |
ISSN: | 1069-9384 1531-5320 |
Appears in Collections: | Linguistics & Languages Publications |
Files in This Item:
File | Description | Size | Format | |
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semRel-paper-26Aug2015.pdf | 379.64 kB | Adobe PDF | View/Open |
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