JOURNAL ARTICLE

Bringing together second language acquisition and aphasiology to understand language (re-)learning: An example of morphology.

  • Published In: Journal of Monolingual & Bilingual Speech (JMBS), 2023, v. 5, n. 3. P. 287 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Collins, Andrew; Castro, Nichol 3 of 3

Abstract

The article focuses on exploring the parallels between second language acquisition (SLA) and aphasiology to enhance understanding of language (re-)learning, using morphology as a case example. It reviews how SLA research on adult learners’ challenges with inflectional morphology and morphological processing can inform aphasia rehabilitation, given that persons with aphasia (PWA) experience language impairments often linked to retrieval deficits following brain injury. The discussion highlights key distinctions between SLA and aphasia populations, including neurocognitive status and language representation, and emphasizes additional factors critical to bridging these fields: bilingualism/multilingualism, individual cognitive differences (such as working memory and executive function), and the influence of the language studied, noting the predominance of English in aphasia research limits generalizability. The authors advocate for increased interdisciplinary collaboration and convergence research to develop more nuanced theories and effective rehabilitation approaches for both monolingual and bilingual individuals with language impairments.

Additional Information

  • Source:Journal of Monolingual & Bilingual Speech (JMBS). 2023/09, Vol. 5, Issue 3, p287
  • Document Type:Article
  • Subject Area:Health and Medicine
  • Publication Date:2023
  • ISSN:2631-8407
  • DOI:10.1558/jmbs.23543
  • Accession Number:175266979
  • Copyright Statement:Copyright of Journal of Monolingual & Bilingual Speech (JMBS) is the property of University of Toronto Press and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Looking to go deeper into this topic? Look for more articles on EBSCOhost.