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The split of a fricative merger due to dialect contact and societal changes: A sociophonetic study on Andalusian Spanish read-speech

Published online by Cambridge University Press:  16 October 2020

Brendan Regan*
Affiliation:
Texas Tech University
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Abstract

In line with a growing body of literature suggesting that mergers are reversible given the adequate dialect contact and social context, the present study examines the phonetic split of the Andalusian Spanish merger of ceceo into the Castilian Spanish feature of distinción. Specifically, the study analyzes 19,420 coronal fricatives produced by 80 Western Andalusian speakers from the city of Huelva and the nearby town of Lepe using a reading passage and wordlist. The analyses find that leaders of this change are younger speakers, women, those with more educational attainment, those of service and professional occupations, and those from Huelva. The implications are that large-scale societal changes have allowed for the split of the ceceo merger into distinción in both speech communities, albeit at different rates of change due to their unique socioeconomic histories, demonstrating that a split is possible given the right social context.

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 (https://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
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Table 1. Minimal pairs per idealized phonic norm

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Table 2. Speakers by origin, birth year, age (in 2015), and gender

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Figure 1. Left: Example of /s/ segmentation in a forced-aligned textgrid; Right: Andalusian [θ] and [s̪] produced by 29-year-old Huelva woman with distinción.

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Table 3. Summary of linear mixed effects regression model for COG, speaker and word as random factors; n = 19,420 (R2m: 0.390, R2c: 0.588). EMM = estimated marginal means

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Figure 2. Interactions of orthography by assimilation (a), by gender (b), by age11 (1929 = 86, 1997 = 18) (c), by education (d), by occupation (e), and by origin (f) for COG (Hz).

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Table 4. Summary of linear mixed effects regression model for MI, speaker and word as random factors; n = 19,420 (R2m: 0.327, R2c: 0.676). EMM = estimated marginal means

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Figure 3. Interactions of orthography by assimilation (a), by gender (b), by age (1929 = 86, 1997 = 18) (c), by education (d), by occupation (e), and by origin (f) for MI (dB).

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Table 5. Number of speakers per measure per style (passage, list) demonstrating a significant difference between and in expected direction

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Figure 4. Scatterplots of COG (Hz) by MI (dB) for reading passage for L9 (a) and H20 (b); Scatterplots of variance (Hz) by skewness for reading passage for L9 (c) and H20 (d).

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Table 6. Summary of mixed effects linear regression for COG Demerger Index, speaker as a random factor; n = 158 (R2m: 0.513, R2c: 0.937). EMM = estimated marginal means

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Figure 5. Gender by age (1929 = 86, 1997 = 18) interaction (a) and occupation by style interaction (b) for COG Demerger Index (Hz).

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Table 7. Summary of mixed effects linear regression for MI Demerger Index, speaker as a random factor; n = 158 (R2m: 0.440, R2c: 0.859). EMM = estimated marginal means

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Figure 6: Main effect of gender (a), main effect of age (1929 = 86, 1997 = 18) (b), main effect of origin (c), and style by occupation interaction (d) for MI Demerger Index (dB).

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Figure 7. Scatterplot of COG Demerger Index (Hz) and MI Demerger Index (dB) correlation.

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