Aix-Marseille Université, CNRS, Laboratoire Parole et Langage UMR, Aix-en-Provence, France.
Center for Brain and Cognition, UPF, Barcelona, Spain.
PLoS One. 2019 Mar 22;14(3):e0213765. doi: 10.1371/journal.pone.0213765. eCollection 2019.
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).
我们通过评估产生单词对随后产生语义竞争者（在错误程度上有所不同的翻译等价物）的后续影响，来检验与词汇选择相关的学习是否基于错误，以及词汇选择是否具有竞争性。说话者用一种语言命名图片或单词（A 部分），然后用另一种语言命名同一组图片（旧组）和一组新图片（B 部分）。旧组（即翻译等价物）的反应时大于新组（即在另一种语言中之前未命名的项目）。这支持学习是基于错误的，而且这种成本在使用错误程度较高的语言命名后（L2 与 L1）大多更大。支持词汇选择具有竞争性的是，在使用错误程度较高的语言命名后（L3），在错误程度较高的另一种语言中命名时，成本更高（L2 与 L1）。
