Naif Alqurashi
Biographic Data
| ID | 6911273 |
|---|---|
| NAME | Naif Alqurashi |
| GIVEN NAMES | Naif |
| FAMILY NAME | Alqurashi |
| SIGNATURE | ALQURASHI N |
| AFFILIATIONS | Taif University |
| ORCID | 0000-0001-8673-1100 |
| VERIFIED | Yes |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 1 |
| WORKS AS AUTHOR | 7 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
The Multimodal Hermeneutic-Cultural Discourse (MHCD) Model as a Lens on Citizen-Authored Expressions of Saudi National Identity
This study investigates how Saudi National Identity (SNI) is performed through citizen-authored multimodal texts commemorating the 94th Saudi National Day. It introduces the Multimodal Hermeneutic-Cultural Discourse (MHCD) Model—a novel triadic framework integrating Cultural Discourse Studies (CuDS), visual grammar, and philosophical hermeneutics—to analyze how meaning emerges across visual and verbal modes. Fifteen image-caption pairs were purpo…
Phraseological Patterns Within Human–Artificial Intelligence Togetherness (Hait)
The widespread integration of generative AI into academic writing has created a new communicative context in which human authorship coexists with algorithmic fluency, yet their phraseological relationship remains insufficiently understood. To address this gap, this study examines the phraseological differences between human-authored and AI-generated academic writing within the emerging framework of Human–Artificial Intelligence Togetherness (HAIT…
A corpus-driven study on legal translation challenges among Arab law students
This study introduces Applied Legal Linguistics (ALL) as a praxis-oriented framework that integrates linguistic theory, corpus-based analysis, and legal discourse studies to address the pedagogical, translational, and communicative challenges of legal language use in multilingual and cross-systemic legal contexts. Within this framework, the inquiry investigates the challenges encountered by Arab law students in the English section of the Faculty …
The Effect of Academic Level on the Use of Deictic Expressions in ESL Learners' Writing
Deictic expressions are essential linguistic elements that facilitate communication by anchoring utterances to specific temporal, spatial, and personal contexts. However, mastering deixis presents challenges for ESL learners due to its reliance on pragmatic competence. This study examines how academic level influences the use of deictic expressions among first-year and fourth-year ESL students through a corpus-driven analysis. The findings indica…
A Corpus-Based Analysis of Discourse Markers in ESL Writing Proficiency
The use of discourse markers (DMs) is a critical component of writing proficiency in English as a Second Language (ESL), influencing coherence and cohesion in academic texts. This study investigates the variation in discourse marker usage between first-year and fourth-year Egyptian university students to understand how proficiency levels affect written cohesion. A corpus of 400 student essays was analyzed using a mixed-methods approach, incorpora…
Authorial voice in Q1 linguistics and hard science journals
This study offers a corpus-based comparative analysis of authorial voice in Q1 linguistics and hard science journal articles, examining how stance, engagement, and genre conventions are shaped by disciplinary epistemologies and rhetorical norms. Drawing on Hyland’s stance and engagement model and Swales’s genre theory, the research analyzes 100 IMRAD-structured articles across two corpora totaling over one million tokens. Quantitative frequency a…
Impact vs. vision
Introduction This study explores the contrasting rhetorical and leadership styles of Donald Trump and Kamala Harris during the 2024 American Presidential Election, revealing how their discourse strategies reflect societal, economic, and political dynamics. Methods Using Norman Fairclough’s Critical Discourse Analysis model (1992), the research examines key campaign speeches to understand how each candidate’s language constructs identities, engage…
Impact vs. vision
Introduction This study explores the contrasting rhetorical and leadership styles of Donald Trump and Kamala Harris during the 2024 American Presidential Election, revealing how their discourse strategies reflect societal, economic, and political dynamics. Methods Using Norman Fairclough’s Critical Discourse Analysis model (1992), the research examines key campaign speeches to understand how each candidate’s language constructs identities, engage…
A corpus-driven study on legal translation challenges among Arab law students
This study introduces Applied Legal Linguistics (ALL) as a praxis-oriented framework that integrates linguistic theory, corpus-based analysis, and legal discourse studies to address the pedagogical, translational, and communicative challenges of legal language use in multilingual and cross-systemic legal contexts. Within this framework, the inquiry investigates the challenges encountered by Arab law students in the English section of the Faculty …
The Effect of Academic Level on the Use of Deictic Expressions in ESL Learners' Writing
Deictic expressions are essential linguistic elements that facilitate communication by anchoring utterances to specific temporal, spatial, and personal contexts. However, mastering deixis presents challenges for ESL learners due to its reliance on pragmatic competence. This study examines how academic level influences the use of deictic expressions among first-year and fourth-year ESL students through a corpus-driven analysis. The findings indica…
A Corpus-Based Analysis of Discourse Markers in ESL Writing Proficiency
The use of discourse markers (DMs) is a critical component of writing proficiency in English as a Second Language (ESL), influencing coherence and cohesion in academic texts. This study investigates the variation in discourse marker usage between first-year and fourth-year Egyptian university students to understand how proficiency levels affect written cohesion. A corpus of 400 student essays was analyzed using a mixed-methods approach, incorpora…
Authorial voice in Q1 linguistics and hard science journals
This study offers a corpus-based comparative analysis of authorial voice in Q1 linguistics and hard science journal articles, examining how stance, engagement, and genre conventions are shaped by disciplinary epistemologies and rhetorical norms. Drawing on Hyland’s stance and engagement model and Swales’s genre theory, the research analyzes 100 IMRAD-structured articles across two corpora totaling over one million tokens. Quantitative frequency a…
Impact vs. vision
Introduction This study explores the contrasting rhetorical and leadership styles of Donald Trump and Kamala Harris during the 2024 American Presidential Election, revealing how their discourse strategies reflect societal, economic, and political dynamics. Methods Using Norman Fairclough’s Critical Discourse Analysis model (1992), the research examines key campaign speeches to understand how each candidate’s language constructs identities, engage…
The Multimodal Hermeneutic-Cultural Discourse (MHCD) Model as a Lens on Citizen-Authored Expressions of Saudi National Identity
This study investigates how Saudi National Identity (SNI) is performed through citizen-authored multimodal texts commemorating the 94th Saudi National Day. It introduces the Multimodal Hermeneutic-Cultural Discourse (MHCD) Model—a novel triadic framework integrating Cultural Discourse Studies (CuDS), visual grammar, and philosophical hermeneutics—to analyze how meaning emerges across visual and verbal modes. Fifteen image-caption pairs were purpo…
Phraseological Patterns Within Human–Artificial Intelligence Togetherness (Hait)
The widespread integration of generative AI into academic writing has created a new communicative context in which human authorship coexists with algorithmic fluency, yet their phraseological relationship remains insufficiently understood. To address this gap, this study examines the phraseological differences between human-authored and AI-generated academic writing within the emerging framework of Human–Artificial Intelligence Togetherness (HAIT…
Linguistics (4 works) · Psychology (4 works) · Discourse Analysis in Language Studies (3 works) · Philosophy (3 works) · Second Language Acquisition and Learning (3 works) · Applied linguistics (2 works) · Computer Science (2 works) · Corpus linguistics (2 works) · Sociology (2 works) · Translation Studies and Practices (2 works)