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The effects of aging on bilingual language: What changes, what doesn't, and why

Published online by Cambridge University Press:  26 August 2020

Jana Reifegerste*
Affiliation:
Potsdam Research Institute for Multilingualism, University of Potsdam, Germany Brain and Language Laboratory, Department of Neuroscience, Georgetown University, Washington DC, USA
*
Address for correspondence: Jana Reifegerste, Email: jana.reifegerste@gmail.com
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Abstract

Substantial research has examined cognition in aging bilinguals. However, less work has investigated the effects of aging on language itself in bilingualism. In this article I comprehensively review prior research on this topic, and interpret the evidence in light of current theories of aging and theories of bilingualism. First, aging indeed appears to affect bilinguals’ language performance, though there is considerable variability in the trajectory across adulthood (declines, age-invariance, and improvements) and in the extent to which these trajectories resemble those found in monolinguals. I argue that these age effects are likely explained by the key opposing forces of increasing experience and cognitive declines in aging. Second, consistent with some theoretical work on bilingual language processing, the grammatical processing mechanisms do not seem to change between younger and older bilingual adults, even after decades of immersion. I conclude by discussing how future research can further advance the field.

Information

Type
Review Article
Copyright
Copyright © The Author(s), 2020. Published by Cambridge University Press
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Fig. 1. Hits in Google Scholar for terms related to the topic of aging and bilingualism/multilingualism/second language (Retrieved June 14, 2020). A similar pattern is also found when controlling for the overall number of scientific papers from a given period.

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Fig. 2. Broad outcomes of likely age trajectories of L1/L2 processing differences (e.g., as suggested by differences in morphological priming effects): decreasing differences (A), increasing differences (B), or differences (or lack thereof) that persist (C). Combinations of these trajectories are of course also possible (e.g., decreases followed by increases), yielding nonlinear effects. These may be revealed by future studies using continuous age designs across the adult lifespan with nonlinear analyses, rather than studies employing categorical designs that contrast younger versus older adult groups. Moreover, newer statistical approaches, such as generalized additive mixed models (GAMM; Baayen et al., 2017), which are not yet widely used in research on language in aging, will likely reveal more complex patterns.