Sadiq Altamimi
@utq.edu.iq
Asst. Prof. Dr. , English Language and Linguistics
University of Thi-Qar
Sadiq Altamimi is an Asst. Prof. Dr. of English Linguistics. He received his PhD and MPhil in English linguistics from Swansea University, UK (without corrections). His research interests lie in textual functions and ideological representations of language and culture within discourse. This includes a productive methodological synergy between corpus linguistic tools and discourse analysis methods in an interdisciplinary framework, where corpus techniques could be usefully informed by discourse theories in triangulatory analysis. He is currently conducting research on international security discourse, to find out how discourses of threat construct the political identity of states and map (counter)terrorism agendas, with consequences for foreign policies involving security. Sadiq has presented his researches at local conferences in the UK, and international conferences in France, Hungary, Poland, Portugal, Turkiye and Italy and has published several journal articles and book chapters.
EDUCATION
PhD in Linguistics, Swansea University, UK
RESEARCH INTERESTS
Discourse Analysis, Corpus Linguistics, Political Speeches, Pragmatics, Securitization, Sociolinguistics, Textual Ideology
Scopus Publications
Scholar Citations
Scholar h-index
Scopus Publications
Sadiq Altamimi
Springer Science and Business Media LLC
AbstractIn the esteemed chambers of Westminster, the United Kingdom’s members of Parliament engage in rigorous discourse regarding economic policies that have far-reaching consequences. The discourse analysis of their speeches helps us understand the formulation of financial regulations that align with the nation’s evolving needs and priorities. Nevertheless, discourse analysis has been criticised for being overtly biased in as much as it cherry-picks the linguistic features it seeks to examine within a data set. Hence, the present study aims to integrate corpus linguistic tools with discourse analysis methods to prepare representative data and to construct an objective pathway for analysis, thereby establishing an impartial avenue for scrutiny while mitigating the critiques often levelled against these two distinct approaches when employed in isolation. To realise these objectives, a corpus-assisted discourse study approach is applied, focusing on the procedural obstacles in the back-and-forth journey between quantitative and qualitative analysis of the discursive representations of the British economy. The study revealed that the integration of corpus tools and discourse methods helped prepare representative data for objective analysis. The integration, also, backed the triangulation of findings and showed that the parliamentarians concentrated on two main discourses of the British economy, namely finance and hardship. The analysis of the linguistic and collocational behaviour of these discourses uncovered that alleviation, scale and source were the three semantic categories of the discursive representation of the British economy.
Wessam Al-Salman, Yan Li, Atheer Y. Oudah, and Sadiq Almaged
Elsevier BV
Sadiq Altamimi
Masaryk University Press
This study examines the interdiscursive representation of the coronavirus disease by the World Health Organization from the outbreak of the virus in January 2020 to the announcement of a successful vaccine in November 2020. The aim is to find out whether the agency has delivered apocalyptic language that increased anxiety and stress among the public leading to a weak human immune system, or contributed to creating global cooperation and placing emergency measures to fight the virus. I have adopted a discourse analysis approach, with the aid of NVivo qualitative software and corpus linguistic tools, for the analysis of a purpose-built corpus of the WHO Director-General’s speeches, focusing on referential, predication, perspectivation, intensifying, mitigation and argumentation strategies. The result of the analysis revealed that the WHO discourse referred to COVID-19 as an eccentric virus, qualified and intensified by the agency as a threat to humanity. The WHO adopted a subjective point of view, showing active involvement in the discursive representation of the virus and argumentatively asking people to unite until a vaccine is invented.
Wessam Al-Salman, Asam Almohamed, and Sadiq Altamimi
IEEE
Detection from sleep characteristics, such as k-complexes, has led to ongoing research for decades. Auto k-complex detection approaches have been developed by many researchers. Over a number of years, scholars reported many approaches to confirm the adequacy of methods of automatic detection. Electroencephalogram (EEG) refers to a tool that is widely employed to study the activity of the brain nervous system and to detect k-complexes because of its immense resolution, which renders it analytically relevant. For that reason, many researchers have proposed and developed a method to automatically identify k-complexes on the basis of the signals of EEG. This study proposes a new method on the basis of a distinct kind of features coupled with the classifier of support-vector machine (SVM) to detect k-complexes. In this study, every signal of EEG is classified to a segment sets through the use of the technique of sliding window. Then, a distinct group of features are excerpted from every time period. This results in sixteen features vector acquired to show every segment of EEG. This proposed method has resulted in an outstanding performance with 96.3%, 95.4%, and 93.2%, specificity, accuracy and sensitivity, respectively, in finding out k-complexes and non-k-complex events, the best accuracy found among the available techniques in the up-to-date literature. These results show that the planned model employing the classifier of the SVM could give superior results when compared with alternative methods in this field as well as with other different classifiers.
Sadiq Almaged
Elsevier BV
Sadiq Almaged
Masaryk University Press
This study sets out to examine the British Prime Minister Theresa May’s speeches delivered through her premiership. It aims to unveil the ideological discursive formation of Brexit after the referendum, and to investigate the way May squares the rhetoric to persuade the general public and the British/European political Elites to deliver the Brexit deal, though she campaigned pro-European Britain. I conduct a corpus-assisted discourse study approach, using discourse analysis methods and corpus linguistics tools for a case study of a purpose-built corpus of the Prime Minister speeches (2016-2019). The analysis revealed that the Brexit representation eschewed any identifi cation with ‘Europe’ and boosted Eurosceptic sentiments by (1) rationalizing the decision to leave the European Union; (2) proposing a better future after Brexit; (3) appealing to the British people’s emotion to support the Brexit deal.