Diadochokinetic rate in Saudi and Bahraini Arabic speakers: Dialect and the influence of syllable type

Autor: Sandra P. Whiteside, Majid Alshahwan, Patricia E. Cowell
Rok vydání: 2019
Předmět:
Zdroj: Saudi Journal of Biological Sciences
Saudi Journal of Biological Sciences, Vol 27, Iss 1, Pp 303-308 (2020)
ISSN: 1319-562X
Popis: Arabic is spoken by more than 420 million people worldwide and still there are a limited number of studies on dialects of the Gulf Arabic regions where most selected respondents are male speakers. This study aimed to explore and establish normative data for the Diadochokinetic Rate (DDK) for two dialects (Saudi Arabia’s Najdi and Bahrain’s Bahraini) speakers. Furthermore, it aimed to investigate whether there are differences between the two dialects and whether sex differences are evident. In addition, it investigated syllable type differences. The study used the monosyllables /ba, da, ga/ and the multisyllabic sequence /badaga/ to analyse the DDK rates. Acoustic analysis was carried out to obtain DDK rates for the syllables. A mixed model ANOVA was performed to investigate dialect and sex differences, in addition, to syllable type. The study included 40 males and 40 female speakers from each of the two dialects. Results showed that for DDK, Saudi speakers had faster DDK rates for the monosyllables /ba/, /da/, /ga/, than Bahrainis, while, no significant differences were observed for the multisyllabic sequences. However, there were no differences between male and female speakers with regard to the DDK rates. The syllable /ga/ showed the slowest DDK rate among the monosyllables while the multisyllabic sequences displayed the slowest DDK rates. In brief, normative data for DDK rates for clinic were determined for the Arabic Nadji and Bahrain’s Bahraini dialects. DDK rate was shown to be more sensitive to dialect differences for the monosyllable tasks. However, no sex differences were observed for the Arabic dialects in this study across all DDK tasks. Keywords: Arabic, Diadochokinetic, Najdi, Bahraini, Acoustic analysis
Databáze: OpenAIRE