Proceedings of the 2nd International Student Conference on Linguistics (ISCL 2022)

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Frequency Analysis: Lexical Bundles Comparation in Medical Journal Abstract and Law Journal Abstract

Authors
Brama Kumbara Omar1, Riskayani Djamaleng1, *
1Master of Linguistics Program, Warmadewa University, Denpasar, Indonesia
*Corresponding author. Email: riskayanidj14@gmail.com
Corresponding Author
Riskayani Djamaleng
Available Online 1 March 2023.
DOI
10.2991/978-2-38476-014-5_11How to use a DOI?
Keywords
Lexical bundles; Antcont; comparation; Frequency analysis
Abstract

Academic writings are widely used as research corpus of lexical bundles because they are productive and have strict writing and systematics, so it is likely that high frequency use of lexical bundles will be found. Based on this, the researchers tried to identify and compare lexical bundles in legal articles and health articles by using a predetermined corpus of articles to see the frequency of their use in both articles. Many researches on lexical bundles have been done before, for example, the research conducted by Haq, et al. (2021) which specifically tried to examine abstracts from PhDs, to determine initial bundles and the function of lexical bundles in PhD abstracts. Thus, this study focuses on identifying and comparing the frequency of lexical bundles in legal articles and health articles, which are more specific in their abstracts. The data used as the corpus in this study came from abstracts from legal journals and health journals. In this study, researchers used 50 abstracts from legal articles, while for comparison data came from 50 abstracts from health. In this study, the number of texts in the abstract data of legal articles amounted to 8,674 words, while the number of texts in the abstract data of health articles amounted to 9,611 words. Through the abstract data presented, the researcher wants to show that there is use of lexical bundles in both types of journals which are then compared with the frequency of their use.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2nd International Student Conference on Linguistics (ISCL 2022)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
1 March 2023
ISBN
978-2-38476-014-5
ISSN
2352-5398
DOI
10.2991/978-2-38476-014-5_11How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Brama Kumbara Omar
AU  - Riskayani Djamaleng
PY  - 2023
DA  - 2023/03/01
TI  - Frequency Analysis: Lexical Bundles Comparation in Medical Journal Abstract and Law Journal Abstract
BT  - Proceedings of the 2nd International Student Conference on Linguistics (ISCL 2022)
PB  - Atlantis Press
SP  - 117
EP  - 125
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-014-5_11
DO  - 10.2991/978-2-38476-014-5_11
ID  - Omar2023
ER  -