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[bɪt] by [bɪʔ]: Variation in T-glottaling in Scottish Standard English

Published online by Cambridge University Press:  07 March 2024

Zeyu Li*
Affiliation:
School of Languages and Culture, Tianjin University of Technology, Tianjin, China
Ulrike Gut
Affiliation:
Department of English Linguistics, University of Münster, Münster, North Rhine-Westphalia, Germany
*
Corresponding author: Zeyu Li. Email: zeyu.li@tjut.edu.cn
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Abstract

The present study investigates internal and external constraints conditioning variable T-glottaling, the realization of the voiceless alveolar stop /t/ as a glottal stop [ʔ], in supraregional Scottish Standard English. Drawing on phonemically annotated speech data from the Scottish component of the International Corpus of English, a total of 12,162 /t/ tokens produced by 138 speakers were extracted from eight formal speaking categories in the corpus and analyzed auditorily. The results showed that about 28% of the analyzed /t/ tokens were produced as glottal stops, with significant inter- and intra-speaker variability. The realization of T-glottaling is subject to both linguistic (phonetic context and word type) and social factors (age, gender, and speech style). Moreover, patterns of various types of T-glottaling differ from each other and constitute distinctive processes of ongoing sound change in Scotland.

Information

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

Table 1. Empirical studies of T-glottaling in Scottish English, their research foci, data, and analyses

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Table 2. Overview of predictors and distribution of /t/ tokens

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Table 3. Overall distribution of [t] and [ʔ] for /t/

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Figure 1. Relative distribution of word-final /t/ by following contexts.

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Figure 2. Relative distribution of word-medial /t/ by following contexts.

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Table 4. Best-fit mixed-effects logistic regression model for the realization of word-final /t/ (n = 7125) as dependent variable, with speaker and word as random intercepts (Predicted outcome: [ʔ]. Level of significance: *p < .05, **p < .01, ***p < .001)

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Table 5. Best-fit mixed-effects logistic regression model for the realization of word-medial /t/ (n = 5037) as dependent variable, with speaker and word as random intercepts (Predicted outcome: [ʔ]. Level of significance: *p < .05, **p < .01, ***p < .001)

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Table 6. Mixed-effects logistic regression model for the realization of /t/ (n = 12,162) as dependent variable, with speaker and word as random intercepts (Predicted outcome: [ʔ]. Level of significance: *p < .05, **p < .01, ***p < .001)

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Figure 3. Effects of age on the three types of T-glottaling.

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Figure 4. Effects of age*gender on the three types of T-glottaling.

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Figure 5. Effects of age*speech style on the three types of T-glottaling.

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Figure 6. Individual differences in rate of T-glottaling in the three types.

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Figure A1. Individual realization of T-glottaling in the three types.

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Table B1. List of speakers with age, gender, and ICE-Scotland text category