Move Analysis of Master’s Thesis and Dissertation Abstracts in English and Indonesian
- DOI
- 10.2991/assehr.k.210427.086How to use a DOI?
- Keywords
- Abstract discourse pattern, linguistic features realization, move analysis
- Abstract
Move Analysis is an analytical approach to text identification and has been used to evaluate various types of genres, such as academic paper, thesis, essay, etc. However, research that focuses on the manifestation of abstract discourse patterns in master’s theses and doctoral dissertation has not been widely carried out. This study aims to identify the abstract discourse patterns in master’s theses and doctoral dissertations and its linguistic features realization that are displayed in each final paper. Using Hyland’s (2000) five-move analysis model, this study analysed the abstracts of final papers in English and Indonesian. Differences were found in the frequency of occurrence in each move. In terms of linguistic features realization, the English and Indonesian data showed significant differences in tense usage. However, voice and verb usage in each language and level of abstracts have shown notable similarities of occurrences. These findings are expected to produce a clearer picture of differences in the manifestation of abstract discourse patterns in each language. Further comparative research on this particular topic with more subjects of data is suggested.
- Copyright
- © 2021, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Syifa Nanda Pratiwi AU - Eri Kurniawan AU - Wawan Gunawan AU - Arif Husein Lubis PY - 2021 DA - 2021/04/28 TI - Move Analysis of Master’s Thesis and Dissertation Abstracts in English and Indonesian BT - Proceedings of the Thirteenth Conference on Applied Linguistics (CONAPLIN 2020) PB - Atlantis Press SP - 568 EP - 573 SN - 2352-5398 UR - https://doi.org/10.2991/assehr.k.210427.086 DO - 10.2991/assehr.k.210427.086 ID - Pratiwi2021 ER -