A Multidimensional Comparative Analysis of MENA and International English Research Article Abstracts in Applied Linguistics

Basim Alamri

SAGE Open, 2023, vol. 13, issue 1, 21582440221145669

Abstract: By implementing Biber’s multidimensional analysis (MDA), the present study explored the linguistic co-occurrence patterns of English research article abstracts written by native speakers of Arabic authors residing in the Arab World and international authors from different contexts. The study analyzed three specialized corpora of 300 English abstracts in the field of applied linguistics. Each corpus comprised 100 abstracts named as Middle Eastern Arabs, North African Arabs (MENA), and international authors. Several linguistic features were extracted and tagged using Nini’s Multidimensional Analysis Tagger (MAT). Then, six dimensions representing several communicative functions were identified after conducting factor analysis. Overall, the study showed that the MENA Arabs abstracts tended to be more evaluative and currently information-focused, while the international abstracts showed more informational density features and narrative style. Finally, the study suggests pedagogical implications for raising the international community’s awareness of writing abstracts with linguistic features.

Keywords: corpus linguistics; English as lingua franca; Middle East and North Africa; multidimensional analysis; RA abstracts (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:sae:sagope:v:13:y:2023:i:1:p:21582440221145669

DOI: 10.1177/21582440221145669

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