Wichupa Piromkij. A corpus-based study of move analysis and lexical bundles of chemical engineering research article introductions. Master's Degree(Career English for International Communication). Thammasat University. Thammasat University Library. : Thammasat University, 2021.
A corpus-based study of move analysis and lexical bundles of chemical engineering research article introductions
Abstract:
Nowadays, English is widely used in writing academic research articles. Many novice researchers in different fields who are non-native English speakers might be struggling with writing research articles in English, especially the introduction, which is one of the most difficult parts of research article writing. In this study, move analysis and lexical bundles of Chemical Engineering Research Article Introductions (CERAIs) have been examined. Move analysis was conducted in the first phase, followed by lexical bundles structural and functional pattern analysis, then lexical bundles found in each move were explored in the last phase. The data was gathered from three prestigious English chemical engineering journals which are Chemical Engineering Journal, Chemistry of Materials, and Industrial & Engineering Chemistry Research. Thirty articles in each of 3 journals published between 2020 and 2022 were randomly selected, thus, 90 CERAIs were compiled to build the CERAI corpus. Firstly, 30 CERAIs were selected randomly to conduct move analysis. Secondly, all 90 CERAIs were input into Antconc program to identify lexical bundles, then lexical bundles structural and functional patterns were analyzed. Lastly, specific lexical bundles in each move were investigated to illustrate the relationship between move structure and lexical bundles. The result revealed that CERAIs have three conventional moves including Move 1: Establishing a territory, Move 2: Establishing a niche, and Move 3: Occupying the niche. Three main move patterns were found in the CERAIs, which are Pattern 1: (M1-M2)n-M3, Pattern 2: (M1-M2)n-(M1-M3)m, and Pattern 3: M1-M2-(M1-M3)n-(M1-M2)m-M3. Sixty-six lexical bundles were found in the CERAI Corpus, but after the exclusion criteria, only 42 bundles were chosen for structural and functional pattern analysis. The result revealed that noun phrase and prepositional phrase fragments were the most common lexical bundles structures found in the CERAIs, and the most common functional pattern is research-oriented function. Regarding lexical bundle analysis in each move, the specific lexical bundles were found in each three moves of the CERAIs to demonstrate the moves particular characteristic. The detailed results, discussion, as well as implications are presented in this study
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