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Public discourses on multilingualism in the UK: Triangulating a corpus study with a sociolinguistic attitude survey

Published online by Cambridge University Press:  06 November 2017

Sylvia Jaworska*
Affiliation:
University of Reading, UK
Christiana Themistocleous
Affiliation:
University of Reading, UK
*
Address for correspondence: Sylvia Jaworska, Department of English Language and Applied Linguistics, University of Reading, Whiteknights, Reading RG6 6AW, UK, s.jaworska@reading.ac.uk
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Abstract

This article investigates public discourses of multilingualism in Britain. In contrast to previous research focusing on specific languages or varieties of language, we examine multilingualism as a metalinguistic construct and are interested in what is frequently said about multilingualism, and how it is said. More specifically, we explore the extent to which media discourses are consonant or diverge from the attitudes of lay people. Media discourses are investigated using a corpus-assisted discourse-study approach to the analysis of large-press corpora. Results from the corpus study are then incorporated in an attitude survey distributed to 200 participants living in a large superdiverse town in Britain. Our study shows that while positive media discourses are mostly shared by the general public, some of the negative themes, especially those relating to immigration, are either reinforced or challenged. The article demonstrates the usefulness of triangulating corpus-linguistic methods with a survey to provide a more comprehensive understanding of public discourses about language matters, and offers some implications for promoting multilingualism in society. (Multilingualism, metalanguage, corpus-assisted discourse study (CADS), attitude survey, triangulation)

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Articles
Copyright
Copyright © Cambridge University Press 2017 
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Table 1. Corpus data.

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Table 2. Participants.

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Table 3. Keywords in the MinD subcorpora.

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Table 4. Keywords in MinD1 grouped into semantic categories.

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Table 5. Keywords in MinD2 grouped into semantic categories.

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Table 6. Keywords in MinD3 grouped into semantic categories.

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Table 7. The ten strongest collocations of bilingual in MinD3.

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Table 8. The ten strongest collocations of English in MinD3.

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Figure 1. Forms of negation in the vicinity of the collocation English + first.

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Table 9. The ten strongest collocations of Alzheimer in MinD3.

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Figure 2. Responses to the question: ‘Overall, would you say that living in a town like Reading where lots of languages are spoken is a positive or negative thing?’.

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Table 10. Attitudes in relation to age.

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Table 11. Attitudes in relation to ethnicity.

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Table 12. Attitudes in relation to length of time living in the UK.

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Table 13. Attitudes in relation to monolingual vs. multilingual.

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Table 14. Participants’ understanding of multilingualism in relation to the main public discourses evident in British newspapers.

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Figure 3. Do you consider Anna to be multilingual?

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Figure 4. Do you consider Leonie to be multilingual?

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Figure 5. Do you consider Ahmat to be multilingual?

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Figure 6. Do you consider Jessica to be multilingual?

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Figure 7. Do you consider Thomas to be multilingual?