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Pre-aspiration in Bethesda Welsh: A sociophonetic analysis

Published online by Cambridge University Press:  19 March 2019

Jonathan Morris
Affiliation:
School of Welsh, Cardiff Universitymorrisj17@cardiff.ac.uk
Míša Hejná
Affiliation:
School of Communication and Culture, Aarhus Universitymisa.hejna@cc.au.dk
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Abstract

Previous research has shown that pre-aspiration can be a phonemic and a variable linguistic feature susceptible to linguistic and extra-linguistic influences. In the case of Welsh, previous exploratory work has found the presence of pre-aspiration (Ball 1984, Morris 2010, Spooner 2016, Iosad forthcoming), but the phonetic and phonological properties of this feature and its sociophonetic patterning in the language are not known. This article presents analyses of the variety of Welsh spoken in Bethesda (Gwynedd). It reports the frequency of occurrence of pre-aspiration, its duration, and noisiness. As well as describing pre-aspiration, it attempts to ascertain the extent to which this feature is influenced by linguistic and extra-linguistic factors. Wordlist data were analysed from 16 Welsh–English bilinguals from Bethesda (Gwynedd, North Wales). Speakers were aged between 16 and 18 years old and the sample was stratified by speaker sex and home language (either Welsh or English). The results indicate that pre-aspiration is frequent in both fortis and lenis plosives (the latter of which are typically devoiced in Welsh). In addition to a number of linguistic influences on its production, both speaker sex and home language were found to be significant predictors of variation for some measures. The results are discussed with reference to previous studies of pre-aspiration in other languages and work on phonetic variation in Welsh–English bilingual speech.

Information

Type
Research Article
Copyright
© International Phonetic Association 2019
Figure 0

Table 1 Number of tokens (and unique words) in each word position in the fortis and lenis series.

Figure 1

Figure 1 Example of the identification and segmentation of a token in word-medial position showing breathiness; br = breathiness; clo = closure; p = post-aspiration.

Figure 2

Figure 2 Example of the identification and segmentation of a token in word-final position showing breathiness and pre-aspiration; br = breathiness; pre = pre-aspiration; clo = closure; post = post-aspiration.

Figure 3

Table 2 Independent variables considered in the statistical modelling.

Figure 4

Figure 3 Percentage of voiced and voiceless tokens in fortis and lenis contexts by individual speaker (n = 875).

Figure 5

Figure 4 Percentage of pre-aspirated and non-pre-aspirated tokens in voiceless fortis and lenis contexts by individual speaker (n = 826).

Figure 6

Figure 5 Percentage of breathy and non-breathy voiceless tokens by place of articulation and consonant series (n = 826).

Figure 7

Figure 6 Percentage of pre-aspirated and non-pre-aspirated voiceless tokens by place of articulation and consonant series (n = 826).

Figure 8

Table 3 Percentage and number of breathy and pre-aspirated voiceless tokens by vowel. category (n = 826).

Figure 9

Figure 7 Duration of breathiness (ms) by place of articulation and consonant series (n = 826).

Figure 10

Figure 8 Duration of pre-aspiration (ms) by place of articulation and consonant series (n = 826).

Figure 11

Figure 9 Duration of pre-aspiration (ms) by vowel category (n = 826).

Figure 12

Figure 10 BP ZCR measurements for breathiness by place of articulation and consonant series (n = 826).

Figure 13

Figure 11 BP ZCR measurements for pre-aspiration by place of articulation and consonant series (n = 826).

Figure 14

Table A1 Word-medial tokens.

Figure 15

Table A2 Word-final tokens.

Figure 16

Table A3 Regression coefficients with z- and p-values for the model predicting the presence of breathiness.

Figure 17

Table A4 Regression coefficients with z- and p-values for the model predicting the presence of pre-aspiration.

Figure 18

Table A5 Regression coefficients with t- and p-values for the model predicting the duration of breathiness (ms).

Figure 19

Table A6 Regression coefficients with t- and p-values for the model predicting the duration of pre-aspiration (ms).

Figure 20

Table A7 Regression coefficients with t- and p-values for the model predicting the BP ZCR measurement of breathiness.

Figure 21

Table A8 Regression coefficients with t- and p-values for the model predicting the BP ZCR measurement of pre-aspiration.