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Double modals in contemporary British and Irish speech

Published online by Cambridge University Press:  02 May 2023

STEVEN COATS*
Affiliation:
English, Faculty of Humanities University of Oulu 90014 University of Oulu Finland steven.coats@oulu.fi
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Abstract

This article reports on the use of double modals, a non-standard syntactic feature, in the contemporary speech of the UK and Ireland. Most data on the geographic extent of the feature and its combinatorial types come from surveys or acceptability ratings or from older attestations focused on northern England, Scotland or Northern Ireland, with relatively few attestations in naturalistic data and from England and Wales. Manual verification of double modals in a large corpus of geolocated Automatic Speech Recognition transcripts from YouTube videos of local government channels from the UK and Ireland shows that the feature exhibits a larger inventory of combinatorial types than has previously been found and is attested in speech from throughout the UK and Ireland. The development may be related to ongoing changes in the semantic space occupied by modal auxiliaries in English.

Information

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
Copyright © The Author(s), 2023. Published by Cambridge University Press
Figure 0

Table 1. CoBISE size by subcorpus

Figure 1

Table 2. Example annotations

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Table 3. Double modal types

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Table 4. Scotland double modal types

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Table 5. England double modal types

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Table 6. Wales double modal types

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Table 7. Northern Ireland double modal types

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Table 8. Republic of Ireland double modal types

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Table 9. Overall frequency of double modals (per million words)

Figure 9

Figure 1. Double modals by county, relative frequencies

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Figure 2. $\;G_i^\ast \;$score (20-nearest-neighbors binary weights matrix, questionable assessments removed) by county