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foot-fronting and footstrut splitting: vowel variation in the East Midlands

Published online by Cambridge University Press:  14 September 2020

SANDRA JANSEN
Affiliation:
Department of English and American Studies Paderborn University Warburger Str. 100 33098 Paderborn Germany sandra.jansen@uni-paderborn.de
NATALIE BRABER
Affiliation:
School of Arts and Humanities Nottingham Trent University Clifton Campus Nottingham NG11 8NS UK natalie.braber@ntu.ac.uk
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Abstract

This article investigates the status of the footstrut split in the counties of Leicestershire, Nottinghamshire and Derbyshire in the East Midlands of England. The East Midlands area is a linguistic transition zone between northern English varieties with a phoneme inventory of five short vowels, where foot and strut are represented by the same phoneme, and southern English varieties which have the footstrut split and therefore six short vowels. However, a lack of research on the distribution of the foot and strut vowels in the East Midlands exists and to fill that gap, this article examines the possible diffusion of the split northwards as predicted by Trudgill (1986). Reading-passage data, stratified by age group, sex and location is used to provide an apparent time, multilocal view on the distribution of the two vowel categories. Surprisingly, the changes that we notice do not concern the increasing distance between foot and strut but mainly foot-fronting in Leicestershire and Nottinghamshire and strut-retraction in Derbyshire which leads to an increase in overlap between foot and strut in all three counties.

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 in any medium, provided the original work is properly cited.
Copyright
Copyright © The Author(s), 2020. Published by Cambridge University Press
Figure 0

Table 1. strut in the SED, MMB and BBC Voices East Midlands recordings

Figure 1

Figure 1. Map of East Midlands with speaker locations

Figure 2

Table 2. Speech sample stratified by age group, sex and county

Figure 3

Figure 2. Overlap of foot and strut in Leicestershire, Nottinghamshire and Derbyshire

Figure 4

Table 3. Bhattacharyya's Affinity for the three counties

Figure 5

Table 4. Bhattacharyya's Affinity for age groups in the different counties

Figure 6

Figure 3. Overlap of foot and strut in Derbyshire according to age group; Old speakers: Bhattacharyya's Affinity .9165; Young speakers: Bhattacharyya's Affinity .9597

Figure 7

Figure 4. Derbyshire individual with the least overlap (left; Bhattacharyya's Affinity 0.7628573) and the most overlap (right; Bhattacharyya's Affinity 0.9661883)

Figure 8

Table 5. Bhattacharyya's Affinity (BA) for the individual speaker in the Derbyshire sample (Pseudonym coding: D = Derbyshire, O = old, Y = young, M = male, F = female)

Figure 9

Figure 5. Interaction of vowel and age group for F1 and F2 in Derbyshire

Figure 10

Figure 6. Overlap of foot and strut in Nottinghamshire according to age group; Old speakers: Bhattacharyya's Affinity .8501675; Young speakers: Bhattacharyya's Affinity .9238492

Figure 11

Table 6. Bhattacharyya's Affinity (BA) for the individual speaker in the Nottinghamshire sample (Pseudonym coding: N = Nottinghamshire, O = old, Y = young, M = male, F = female)

Figure 12

Figure 7. Nottinghamshire individual with the least overlap (left; Bhattacharyya's Affinity 0.5015224) and the most overlap (right; Bhattacharyya's Affinity 0.9636763)

Figure 13

Figure 8. Interaction of vowel and age group for F1 and F2 in Nottinghamshire

Figure 14

Figure 9. Overlap of foot and strut in Leicestershire according to age group; Old speakers: Bhattacharyya's Affinity 0.8841179; Young speakers: Bhattacharyya's Affinity 0.9497770

Figure 15

Figure 10. Leicestershire individual with the least overlap (left; Bhattacharyya's Affinity 0.6559476) and the most overlap (right; Bhattacharyya's Affinity 0.9881098)

Figure 16

Table 7. Bhattacharyya's Affinity (BA) for the individual speaker in the Leicestershire sample (Pseudonym coding: L = Leicestershire, O = old, Y = young, M = male, F = female)

Figure 17

Table 8. Independent variables and factors in the statistical model

Figure 18

Table 9. Mixed-effects linear regression on Derbyshire F1 values of the overall sample by vowel, age group, sex, preceding segment, duration and the interaction between vowel and age group and vowel, age group and sex. Random intercepts for speaker and word are included. N = 949

Figure 19

Table 10. Mixed-effects linear regression on Derbyshire F2 values of the overall sample by vowel, age group, sex, following place, following voicing, duration and the interaction between vowel and age group and vowel and sex. Random intercepts for speaker and word are included. N = 949

Figure 20

Table 11. Mixed-effects linear regression on Nottinghamshire F1 values of the overall sample by vowel, age group, sex, preceding segment, duration and the interaction between vowel and age group and vowel, sex and age group. Random intercepts for speaker and word are included.N = 917

Figure 21

Table 12. Mixed-effects linear regression on Nottinghamshire F2 values of the overall sample by vowel, age group, sex, following place, following voicing duration and the interaction between vowel and age group and age group and sex. Random intercepts for speaker and word are included. N = 917

Figure 22

Table 13. Mixed-effects linear regression on Leicestershire F1 values of the overall sample by vowel, age group, sex, preceding segment, duration and the interaction between vowel and sex, vowel and age group and vowel, sex and age group. Random intercepts for speaker and word are included. N = 965

Figure 23

Table 14. Mixed-effects linear regression on Leicestershire F2 values of the overall sample by vowel, age group, sex, following place, following voicing, duration and the interaction between vowel and age group, vowel and sex and vowel, sex and age group. Random intercepts for speaker and word are included. N = 965

Figure 24

Figure 11. Interaction of vowel and age group for F1 and F2 in Leicestershire

Figure 25

Figure 12. Interaction of vowel and age group for F1 and F2 in Leicestershire according to sex