EFFECT OF JOURNAL CATEGORY ON DISTRIBUTION OF PROTOTYPICAL TEXT-ORIENTED LEXICAL BUNDLES: A CORPUS-BASED STUDY OF QUANTITATIVE RESEARCH ARTICLES
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Abstract
This study intends to assess the Prototypical Text-Oriented Lexical Bundles (henceforth, PTOLBs) in a quantitative research article to determine whether there are any changes in the journal categories research articles of multiple disciplines. The taxonomy of functional categories developed by Hyland (2008b) includes the categories of Text-Oriented Lexical Bundles (as known as, TOLBs) which were later modified by Salazar (2011) in terms of prototypicality. The study examined how these PTOLBs are distributed concerning journal ratings by HEC's HJRS research articles. Based on these goals, the study chose five major disciplines, 11 subjects, and 2576 Research Articles’ sections. There are approximately 3 million words data is used in this corpus-based study. The frequency of PTOLBs was retrieved using the AntConc software. The distribution of PTOLBs in RAs was investigated initially using a 3-factor MANOVA but later on, due to the lack of normal distribution, shifted to the Kruskal-Walis H Test and post hoc test. This study showed that in journal categories, Y with W and X showed a significant difference on the base of the Objective Lexical Bundles’ subcategory. The findings will provide SL students with an understanding of how to use linguistic elements based on registers and effective writing. The examination of the distribution of PTOLBs conducted in this research might aid students in recognizing patterns and formulae that are often used in scholarly papers.
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