Short-Term Memory for Auditory Temporal Patterns and Meaningless Sentences Predicts Learning of Foreign Word Forms.

context signal language acquisition memory phonological loop rhythm second language

Journal

Brain sciences
ISSN: 2076-3425
Titre abrégé: Brain Sci
Pays: Switzerland
ID NLM: 101598646

Informations de publication

Date de publication:
26 Apr 2022
Historique:
received: 19 03 2022
revised: 24 04 2022
accepted: 24 04 2022
entrez: 28 5 2022
pubmed: 29 5 2022
medline: 29 5 2022
Statut: epublish

Résumé

The ability to accurately repeat meaningless nonwords or lists of spoken digits in correct order have been associated with vocabulary acquisition in both first and second language. Individual differences in these tasks are thought to depend on the phonological loop component of working memory. However, phonological working memory may itself depend on more elementary processes. We asked whether auditory non-verbal short-term memory (STM) for patterns in time supports immediate recall of speech-based sequences. Participants tapped temporal sequences consisting of short and long beeps and repeated nonsense sentences sounding like their native language or an unfamiliar language. As a language learning task, they also memorized familiar-word-foreign-word pairs. Word learning was directly predicted by nonsense sentence repetition accuracy. It was also predicted by temporal pattern STM. However, this association was mediated by performance on the repetition measure. We propose that STM for temporal patterns may reflect a component skill that provides the context signal necessary to encode order in phonological STM. It would be needed to support representation of the prosodic profile of language material, which allows syllables in words and words in sentences to be ordered and temporally grouped for short-term representation and long-term learning.

Identifiants

pubmed: 35624936
pii: brainsci12050549
doi: 10.3390/brainsci12050549
pmc: PMC9139216
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : Social Sciences and Humanities Research Council
ID : 435-2021-0564

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Auteurs

Elisabet Service (E)

ARiEAL Research Centre, Department of Linguistics and Languages, McMaster University, Hamilton, ON L8S 4M2, Canada.

Erin DeBorba (E)

ARiEAL Research Centre, Department of Linguistics and Languages, McMaster University, Hamilton, ON L8S 4M2, Canada.

Angie Lopez-Cormier (A)

ARiEAL Research Centre, Department of Linguistics and Languages, McMaster University, Hamilton, ON L8S 4M2, Canada.

Meliha Horzum (M)

ARiEAL Research Centre, Department of Linguistics and Languages, McMaster University, Hamilton, ON L8S 4M2, Canada.

Daniel Pape (D)

ARiEAL Research Centre, Department of Linguistics and Languages, McMaster University, Hamilton, ON L8S 4M2, Canada.

Classifications MeSH