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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doaj-65bcf4999e274c1baf4b8f5e9acf7c3a2020-11-24T23:06:01ZengFrontiers Media S.A.Frontiers in Psychology1664-10782018-11-01910.3389/fpsyg.2018.02176391735Competition and Symmetry in an Artificial Word Learning TaskBrian Buccola0Isabelle Dautriche1Emmanuel Chemla2Laboratoire de Sciences Cognitives et Psycholinguistique (ENS, EHESS, CNRS), Département d'Études Cognitives, École Normale Supérieure, PSL Research University, Paris, FranceCentre for Language Evolution, University of Edinburgh, Edinburgh, United KingdomLaboratoire de Sciences Cognitives et Psycholinguistique (ENS, EHESS, CNRS), Département d'Études Cognitives, École Normale Supérieure, PSL Research University, Paris, FranceNatural 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 symmetric 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.https://www.frontiersin.org/article/10.3389/fpsyg.2018.02176/fullcompetitionsymmetryalternativespsycholinguisticssemanticspragmatics |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Brian Buccola Isabelle Dautriche Emmanuel Chemla |
spellingShingle |
Brian Buccola Isabelle Dautriche Emmanuel Chemla Competition and Symmetry in an Artificial Word Learning Task Frontiers in Psychology competition symmetry alternatives psycholinguistics semantics pragmatics |
author_facet |
Brian Buccola Isabelle Dautriche Emmanuel Chemla |
author_sort |
Brian Buccola |
title |
Competition and Symmetry in an Artificial Word Learning Task |
title_short |
Competition and Symmetry in an Artificial Word Learning Task |
title_full |
Competition and Symmetry in an Artificial Word Learning Task |
title_fullStr |
Competition and Symmetry in an Artificial Word Learning Task |
title_full_unstemmed |
Competition and Symmetry in an Artificial Word Learning Task |
title_sort |
competition and symmetry in an artificial word learning task |
publisher |
Frontiers Media S.A. |
series |
Frontiers in Psychology |
issn |
1664-1078 |
publishDate |
2018-11-01 |
description |
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 symmetric 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. |
topic |
competition symmetry alternatives psycholinguistics semantics pragmatics |
url |
https://www.frontiersin.org/article/10.3389/fpsyg.2018.02176/full |
work_keys_str_mv |
AT brianbuccola competitionandsymmetryinanartificialwordlearningtask AT isabelledautriche competitionandsymmetryinanartificialwordlearningtask AT emmanuelchemla competitionandsymmetryinanartificialwordlearningtask |
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