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Revitalizing Endangered Languages

Edited by Justyna Olko & Julia Sallabank

Revitalizing Endangered Languages "This guidebook provides ideas and strategies, as well as some background, to help with the effective revitalization of endangered languages. It covers a broad scope of themes including effective planning, benefits, wellbeing, economic aspects, attitudes and ideologies."

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Academic Paper

Title: Bilingual Aphasia: Adapted Language Networks and Their Control
Author: David W Green
Institution: University College London
Linguistic Field: Neurolinguistics
Abstract: This review focuses on the nature of language recovery in bilingual individuals poststroke and on the effectiveness of treatment. I consider neuropsychological and neuroimaging articles on bilingual aphasic individuals in the period 2003–2007. I examine the extent to which current evidence supports the notion that different languages are represented in distinct processing areas or are distributed in shared areas with common organizing principles. I argue for the second possibility with the extent of recovery affected by prior proficiency and current usage. I also argue that certain patterns of deficit indicate a problem in controlling the language in use rather than a representational deficit per se. Most studies concern chronic aphasic patients, and detailed studies of the effects of treatment and any plastic changes in response to such treatment remain sparse. I conclude with suggestions to further the understanding of recovery and treatment. To advance further, we need to understand the range of pathways in normal bilinguals that support a given language task, so that neural patterns associated with task performance poststroke can be properly interpreted. Imaging regional changes in blood flow immediately poststroke can help identify the regions and pathways associated with the recovery of function. Functional imaging studies of recovery and treatment in the chronic stage are also critical.


This article appears IN Annual Review of Applied Linguistics Vol. 28, Issue 1.

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