Competition and Symmetry in an Artificial Word Learning Task
Natural language involves competition. The sentences we choose to utter activate alternative sentences (those we chose not to utter), which hearers typically infer to be false. Hence, as a first approximation, the more alternatives a sentence activates, the more inferences it will trigger. But a clo...
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Published in | Frontiers in psychology Vol. 9; p. 2176 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Switzerland
Frontiers Media
13.11.2018
Frontiers Media S.A |
Subjects | |
Online Access | Get full text |
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Summary: | Natural language involves competition. The sentences we choose to utter activate alternative sentences (those we chose not to utter), which hearers typically infer to be false. Hence, as a first approximation, the more alternatives a sentence activates, the more inferences it will trigger. But a closer look at the theory of competition shows that this is not quite true and that under specific circumstances, so-called
alternatives cancel each other out. We present an artificial word learning experiment in which participants learn words that may enter into competition with one another. The results show that a mechanism of competition takes place, and that the subtle prediction that alternatives trigger inferences, and may stop triggering them after a point due to symmetry, is borne out. This study provides a minimal testing paradigm to reveal competition and some of its subtle characteristics in human languages and beyond. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 PMCID: PMC6282061 Edited by: Penka Stateva, University of Nova Gorica, Slovenia Reviewed by: Chiara Gambi, Cardiff University, United Kingdom; Jacques Moeschler, Université de Genève, Switzerland These authors have contributed equally to this work This article was submitted to Language Sciences, a section of the journal Frontiers in Psychology |
ISSN: | 1664-1078 1664-1078 |
DOI: | 10.3389/fpsyg.2018.02176 |