Skip to content
Research Article Open access CC BY 4.0

A Phonological-Pragmatic Analysis of the Saudi Ministry of Health Official Spokesperson's Speech on COVID-19

Reem Maghrabi

Asian Journal of Language, Literature and Culture Studies · pp. 1–17 · Published 5 Jan 2022

Abstract

The aim of this study is to investigate the pragmatic functions of the proclaiming and referring information tones employed in coved-19's speech by the Saudi Ministry of health (MOH) official spokesperson in relation to termination. Moreover, the study examines if the termination component could relate to dominance-non-dominance factors based on Brazil's model [1]. 13 speech excerpts were selected from The Saudi (MOH) spokesperson's speech based on four information criteria chosen for the study. 127 tone units were analyzed acoustically and intonation contours, mean pitch and intensity values were obtained by using praat’s autocorrelation algorithm with a pitch range of 100-500Hz. Results show that the most frequently used tone by the speaker was the (rise) referring+ tone with high pitch value. The dominance factor was higher than the non-dominance factor, which indicates that the speaker was the controller of the discourse as most of his speech carried additive and contrastive information. High termination pitch level correlates with the dominance factor, while high termination intensity level correlates with the non-dominance factor. This study could highlight the importance of intonation as a communicative tool to carry implicit meanings.

COVID-19 discourse intonation proclaiming/referring tone pitch intensity.

Cited by 0

No indexed citations yet.

Article metrics

Real usage data collected on this platform.

0

Page views

0

PDF downloads

0

Outbound clicks

0

Citations

Views by country

Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".

No views recorded yet.

Traffic sources

Referring site, by host.

No traffic recorded yet.

Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.