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Three’s a crowd: Ternary (ing) variation in the North of England

Published online by Cambridge University Press:  27 November 2024

George Bailey*
Affiliation:
Department of Language and Linguistic Science, University of York, York, UK
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Abstract

Despite the attention (ing) has received in variationist literature, it is comparatively understudied in the North West of England where it holds something of a unique sociolinguistic profile. Variation in this region is between three competing forms: [ɪŋɡ] appears alongside the usual [ɪn]/[ɪŋ] variants. Based on sociolinguistic interviews with 32 speakers from this region, this study investigates whether [ɪŋɡ] replaces [ɪŋ] as the local standard or exists alongside it to fulfill a different sociolinguistic role. Results suggest that [ɪŋ] is maintained as the standard variant, and that [ɪŋɡ] occupies its own functional space as a feature of emphatic and hyper-articulate speech, appearing almost exclusively before pause. (ing) also shows no sensitivity to part of speech, despite the strength of this effect in other varieties of English. These results are discussed in the context of broader questions regarding the underlying representation of this variation, specifically its allophonic or allomorphic nature.

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
© The Author(s), 2024. Published by Cambridge University Press.
Figure 0

Figure 1. Map of North West England, showing where each speaker in the sample was born and raised (boundaries and labels refer to postcode areas).

Figure 1

Figure 2. Frequency of (ing) variants in conversation on a speaker-by-speaker basis.

Figure 2

Table 1. Mixed-effects logistic regression model for (ing), with -in as the application value (n = 5171); statistical significance symbols: *** p < .001, ** p < .01, * p < .05

Figure 3

Figure 3. The rate of -in by speaker age and sex. In (a), points reflect speakers’ own proportions with curves fitted to individual tokens using locally weighted (LOESS) smoothing. In (b), points reflect proportions aggregated over age-groups.

Figure 4

Figure 4. Rate of -in by (a) preceding and (b) following segment. Shaded circles reflect individual speaker proportions; diamonds reflect overall proportion.

Figure 5

Figure 5. Rate of -in by speech rate; curve fit to individual tokens using locally weighted (LOESS) smoothing.

Figure 6

Table 2. Mixed-effects logistic regression model for velar (ing) tokens with [ɡ]-presence as the application value (n = 968); statistical significance symbols: *** p < .001, ** p < .01, * p < .05

Figure 7

Figure 6. Rate of [ɡ]-presence by (a) preceding segment and (b) following segment. Shaded circles reflect individual speaker means; diamonds reflect overall mean.

Figure 8

Figure 7. Rate of [ɡ]-presence by speech rate; curve fit to individual tokens using locally weighted (LOESS) smoothing.

Figure 9

Figure 8. The rate of -in, -ing, and -ingg by style. Shaded circles reflect individual speaker means; diamonds reflect overall means.