Error-based learning and lexical competition in word production: Evidence from multilingual naming

Abstract : We tested whether learning associated to lexical selection is error-based, and whether lexical selection is competitive by assessing the after-effects of producing words on subsequent production of semantic competitors differing in degree of error (translation equivalents). Speakers named pictures or words in one language (part A), and then named the same set of pictures (old set) and a new set in another language (part B). RTs for the old set (i.e., translation equivalents) were larger than for the new set (i.e., items which not have been named previously in another language). Supporting that learning is error-based, this cost was mostly larger after naming in a language with a higher degree of error (L2 vs. L1). Supporting that lexical selection is competitive, after naming in a language with a high degree of error (L3), the cost was larger for naming in another language with a high degree of error (L2 vs. L1).
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https://hal.archives-ouvertes.fr/hal-02085672
Contributeur : Kristof Strijkers <>
Soumis le : dimanche 31 mars 2019 - 10:17:33
Dernière modification le : vendredi 12 avril 2019 - 01:31:00

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journal.pone.0213765.pdf
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Elin Runnqvist, Kristof Strijkers, Albert Costa. Error-based learning and lexical competition in word production: Evidence from multilingual naming. PLoS ONE, Public Library of Science, 2019, 14 (3), pp.e0213765. ⟨10.1371/journal.pone.0213765⟩. ⟨hal-02085672⟩

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