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Sources of variation at the onset of bilingualism: The differential effect of input factors, AOA, and cognitive skills on HL Arabic and L2 English syntax

Published online by Cambridge University Press:  26 May 2021

Adriana SOTO-COROMINAS*
Affiliation:
Universitat Internacional de Catalunya, Barcelona, Spain
Evangelia DASKALAKI
Affiliation:
University of Alberta, Canada
Johanne PARADIS
Affiliation:
University of Alberta, Canada
Magdalena WINTERS-DIFANI
Affiliation:
University of Alberta, Canada
Redab AL JANAIDEH
Affiliation:
Ontario Institute for Studies in Education, University of Toronto, Canada
*
Address for correspondence: Adriana Soto-Corominas, Department of Applied Linguistics, Universitat Internacional de Catalunya, Barcelona, 08017, Spain. E-mail: asotoc@uic.cat
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Abstract

Despite growing research on individual differences in child bilinguals, few studies have focused on the development of syntax, included both languages, and studied newly arrived school-age migrant children. Accordingly, this study investigated the syntactic development of heritage language (HL) Syrian Arabic and L2 English by Syrian refugee children (N = 119) recently arrived in Canada using a sentence repetition task. Regression analyses showed that a partially overlapping set of child-level (input and cognitive skills) and language-level (syntactic structure) factors accounted for performance in each language. HL performance was particularly sensitive to language, cognitive, and input variables indexing cumulative HL exposure. L2 performance, however, was sensitive to cognitive and environmental variables indexing current and cumulative L2 use. Finally, despite stronger performance in Arabic than in English, results revealed interdependence between the two languages, indicating that participants with stronger syntactic abilities in their HL tended to have stronger syntactic abilities in their emerging L2.

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Type
Article
Copyright
Copyright © The Author(s), 2021. Published by Cambridge University Press
Figure 0

Table 1. Structures used in the English SRT

Figure 1

Table 2. Structures used in the Arabic SRT

Figure 2

Table 3. Participant characteristics

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Figure 1. Participant overall accuracy reported in mean percentage of correct morphemes that were repeated accurately. Points show individual participants, which appear jittered. Width of split violin shows density. The point over the density plot signals the sample mean and the bar, one standard deviation below and above the mean.

Figure 4

Figure 2. Participant syntactic accuracy reported as percentage of structures that were repeated accurately. Points show individual participants, which appear jittered. Split violin shows density. The point over the density plot signals the sample mean and the bar, one standard deviation below and above the mean.

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Figure 3. Participant syntactic accuracy in Arabic reported by structure. Points show individual participants, which appear jittered to avoid overlap due to discreteness. Split violin shows density. The point over the density plot signals the sample mean and the bar, one standard deviation below and above the mean (capped at 100%).

Figure 6

Figure 4. Participant syntactic accuracy in English reported by structure. Points show individual participants, which appear jittered to avoid overlap due to discreteness. Split violin shows density. The point over the density plot signals the sample mean and the bar, one standard deviation below and above the mean (capped at 100%).

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Table 4. Coefficient table for fixed effects in optimal model predicting overall accuracy in Arabic SRT

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Table 5. Coefficient table for fixed effects in optimal model predicting overall accuracy in English SRT

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Table 6. Coefficient table for fixed effects in optimal model predicting structural accuracy in Arabic SRT

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Table 7. Coefficient table for fixed effects in optimal model predicting structural accuracy in English SRT.