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Regional dialect leveling in Najdi Arabic: The case of the deaffrication of [k] in the Qaṣīmī dialect

Published online by Cambridge University Press:  22 March 2013

Yousef al-Rojaie*
Affiliation:
Qassim University
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Abstract

This study investigates the effect of linguistic and social factors (age, gender, and level of education) on the patterns of variation in the affrication of [] for [k] in the stem and suffix in the informal speech of 72 speakers of Qaṣīmī, a local dialect of Najdi Arabic, spoken in the Qaṣīm province in central Saudi Arabia. Findings indicate that affrication is significantly favored in the phonological context of front vowels, particularly the high front ones. Whereas suffix-based affrication is categorically used as [-], stem affrication is strongly correlated with the age, educational level, and gender of the speaker. In particular, older uneducated speakers from both sexes tend to maintain the use of the local variant [], whereas younger and middle-aged educated speakers, particularly women, increasingly shift toward the use of the supralocal variant [k]. The present findings are suggestive of patterns of variation that are typical in regional-dialect leveling, wherein the supralocal variant(s) associated with the major city dialect is (are) diffusing outward, at the expense of traditional and socially marked variant(s), by speakers of smaller towns' dialects. The substantial socioeconomic changes that Saudi Arabia has undergone in the last half century are suggested to have triggered and accelerated the linguistic shift.

Information

Type
Research Article
Copyright
Copyright © Cambridge University Press 2013
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Figure 1. The location of the Qaṣīm province.

Figure 1

Table 1. The distribution of participants by age, gender, and level of education (N = 72)

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Table 2. Variable rule analysis of the contribution of significant linguistic and social factors to the probability of affrication of [k] in the stem

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Table 3. Age and gender interaction: Two independent variable rule analyses for men and women

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Table 4. Gender and education interaction: Two independent variable rule analyses for men and women

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Table 5. Age and education interactions: Three independent variable rule analysis by level of education

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Table 6. Age, gender, and education interactions: Six independent variable rule analyses for men and women, by level of education