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Linguistic Variation across Research Sections: A Multidimensional Analysis of Pakistani Academic Journal Articles

Author

Listed:
  • Aniqa Rashid

    (Assistant Professor)

  • Muhammad Asim Mahmood

    (Professor)

  • Sajid Ahmad

    (Assistant Professor)

Abstract

This research analyzes academic journal articles in Pakistan by exploring their linguistic variations in different sections through multidimensional analysis. The analysis identifies the language of Pakistani academic journal articles. The corpus of Pakistani academic journal articles has been culled from a variety of research articles published in Pakistani academic journals. The data have been analyzed along five dimensions of Biber’s (1988) Multidimensional analysis model. The ANOVA result of Pakistani academic journal articles reveals significant differences among research sections of journal articles along Biber’s five dimensions. The finding describes the nature of Pakistani academic journal research articles as informational, impersonal, nonnarrative, elaborated, explicit, and nonpersuasive.

Suggested Citation

  • Aniqa Rashid & Muhammad Asim Mahmood & Sajid Ahmad, 2017. "Linguistic Variation across Research Sections: A Multidimensional Analysis of Pakistani Academic Journal Articles," Global Language Review, Humanity Only, vol. 2(1), pages 15-37, June.
    • Handle: RePEc:glr:journl:v:2:y:2017:i:1:p:15-37
    DOI: 10.31703/glr.2017(II-I).02
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    1. Editorial Article, 0. "Abstracts," Economics of Contemporary Russia, Regional Public Organization for Assistance to the Development of Institutions of the Department of Economics of the Russian Academy of Sciences, issue 3.
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    More about this item

    Keywords

    English language variation; Academic register; Academic Journal Research Articles; Multidimensional Analysis;
    All these keywords.

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    Statistics

    Access and download statistics

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