Main Article Content
Abstract
Numerous studies have primarily focused on investigating the linguistic structures of academic writing, such as theses, dissertations, and articles from reputable journals authored by individuals ranging from novices to experts. However, few studies have examined the linguistic structures of texts written by AI, particularly those produced by ChatGPT. This study aims to analyze the lexical bundle structure and function variations of 10 argumentative essays generated by ChatGPT, which were composed based on prompts provided by advanced learners in Indonesia, specifically graduate students of applied linguistics from Yogyakarta University. The objective is to explore the lexical bundle structure and function of ChatGPT-generated essays to understand how the AI employs various linguistic forms and constructs relationships between sentences. For data collection, this study utilized the corpus tool AntConc's N-gram feature to refine the four-word lexical bundles from the collected essays. The analysis used the frameworks of Hyland (2008b) and Biber et al. (1999). The result showed the Noun Phrase + pattern as the most frequent lexical bundle structure found in ChatGPT-generated essays. This structure has been used primarily to assert ideas and positions on the discussed topics (Stance Features), marking that ChatGPT has a strong ability in presenting and elaborating ideas. However, the least frequently found lexical bundle function is text construction that can link one idea to others to create the connection. Therefore, this study suggested that ChatGPT-generated essays can assist in effectively conveying the writer's perspectives but need attention or development in creating cohesive links between ideas in written discourse.
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Copyright (c) 2025 Syafina Azalia, Pratomo Widodo, Pangesti Wiedarti, Titik Sudartinah

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References
Acorinti, W. H., & Bocorny, A. E. P. (2024). Lexical Bundles in Computer Science Academic Texts Produced by Novice and Expert Writers. Journal of the Undergraduate Linguistics Association of Britain, 2(2), 189–210. https://doi.org/https://doi.org/10.5281/zenodo.12738429
Aldabbus, S., & Almansouri, E. (2022). Academic Writing Difficulties Encountered by University EFL Learners. British Journal of English Linguistics, 10, 1–11. https://www.eajournals.org/
Aljuaid, H. (2024). The Impact of Artificial Intelligence Tools on Academic Writing Instruction in Higher Education: A Systematic Review. Arab World English Journal, 1(1), 26–55. https://doi.org/10.24093/awej/chatgpt.2
Alqasham, F. H., Al-Ahdal, A. A. M. H., & Babekir, A. H. S. (2021). Coherence and Cohesion in Saudi EFL Learners’ Essay Writing: A Study at a Tertiary-level Institution. Asian EFL Journal Research Articles, 28(1), 8–25. https://www.researchgate.net/profile/Arif-Al-Ahdal/publication/349256060_Coherence_and_Cohesion_in_Saudi_EFL_Learners’_Essay_Writing_A_Study_at_a_Tertiary-level_Institution/links/60270fc545851589399ee195/Coherence-and-Cohesion-in-Saudi-EFL-Learners-Essay-Writing-A-Study-at-a-Tertiary-level-Institution.pdf
Alsariera, A. H., & Yunus, K. (2023). Issues and Challenges in the Use of Coherence Among Jordanian EFL Students in Writing Academic Essays. Journal of Nusantara Studies (JONUS), 8(2), 141–156. https://doi.org/10.24200/jonus.vol8iss2pp141-156
Anindita, W. K. (2024). Cohesion and Coherence Problems Among Non-Native English Students’ Writing Essays. Lensa: Kajian Kebahasaan, Kesusastraan, Dan Budaya, 14(1), 58. https://doi.org/10.26714/lensa.14.1.2024.58-79
Barrot, J. S. (2023). Using ChatGPT for second language writing: Pitfalls and potentials. Assessing Writing, 57. https://doi.org/10.1016/j.asw.2023.100745
Biber, D. (2004). If you look at ...: Lexical Bundles in University Teaching and Textbooks. Applied Linguistics, 25(3), 371–405. https://doi.org/10.1093/applin/25.3.371
Biber, D., & Barbieri, F. (2007). Lexical bundles in university spoken and written registers. English for Specific Purposes, 26(3), 263–286. https://doi.org/10.1016/j.esp.2006.08.003
Biber, D., Johansson, S., Leech, G., Conrad, S., & Finegan, E. (1999). Longman grammar of spoken and written english. Longman.
Bisriyah, M. (2022). EFL University Students’ Difficulties in the Essay Writing Process. Scope: Journal of English Language Teaching, 7(1), 66. https://doi.org/10.30998/scope.v7i1.13793
Bom, H. S. H. (2023). Exploring the Opportunities and Challenges of ChatGPT in Academic Writing: a Roundtable Discussion. In Nuclear Medicine and Molecular Imaging (Vol. 57, Issue 4, pp. 165–167). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/s13139-023-00809-2
Chia, C. S. C., Jonathan, P., Owen, H., & Kit-Mun, L. (2024). Graduate Students’ Perception and Use of ChatGPT as a Learning Tool to Develop Writing Skills. International Journal of TESOL Studies. https://doi.org/10.58304/ijts.20240308
Fauzan, U., Hasanah, N., & Hadijah, S. (2022). The Undergraduate Students’ Difficulties in Writing Thesis Proposal. Indonesian Journal of EFL and Linguistics, 7(1), 175. https://doi.org/10.21462/ijefl.v7i1.515
Fitriyah, I., Ningrum, A. S. B., & Gozali, I. (2023). An Investigation of Written Corrective Feedback in EFL Writing Assessment: How Teachers’ Feedback Practices Meet Students’ Expectations. International Journal of Language Testing, 14(1), 166–184. https://doi.org/10.22034/IJLT.2023.411616.1275
Gayed, J. M., Carlon, M. K. J., Oriola, A. M., & Cross, J. S. (2022). Exploring an AI-based writing Assistant’s impact on English language learners. Computers and Education: Artificial Intelligence, 3. https://doi.org/10.1016/j.caeai.2022.100055
Harunasari, S. Y., Tinggi, S., & Asing, B. (2023). Examining the Effectiveness of AI-integrated Approach in EFL Writing: A Case of ChatGPT. International Journal of Progressive Sciences and Technologies (IJPSAT, 39(2), 357–368.
Hayawi, K., Shahriar, S., & Mathew, S. S. (2024). The imitation game: Detecting human and AI-generated texts in the era of ChatGPT and BARD. Journal of Information Science. https://doi.org/10.1177/01655515241227531
Hong, A. L., & Hua, T. K. (2018). Specificity in English for Academic Purposes (EAP): A corpus analysis of lexical bundles in academic writing. In 3L: Language, Linguistics, Literature (Vol. 24, Issue 2, pp. 82–94). Penerbit Universiti Kebangsaan Malaysia. https://doi.org/10.17576/3L-2018-2402-07
Husnaini, M., & Madhani, L. M. (2024). Perspektif Mahasiswa terhadap ChatGPT dalam Menyelesaikan Tugas Kuliah. Journal of Education Research, 5(3), 2655–2664. https://doi.org/10.37985/jer.v5i3.1047
Hwang, G. J., & Chang, C. Y. (2023). A review of opportunities and challenges of chatbots in education. In Interactive Learning Environments (Vol. 31, Issue 7, pp. 4099–4112). Routledge. https://doi.org/10.1080/10494820.2021.1952615
Hyland, K. (2008a). Academic clusters: text patterning in published and postgraduate writing. International Journal of Applied Linguistics, 18(1), 41–62. https://doi.org/10.1111/j.1473-4192.2008.00178.x
Hyland, K. (2008b). As can be seen: Lexical bundles and disciplinary variation. English for Specific Purposes, 27(1), 4–21. https://doi.org/10.1016/j.esp.2007.06.001
Irfan, I., Sofendi, S., & Vianty, M. (2020). Technological knowledge application on academic writing English education study program students. English Review: Journal of English Education, 9(1), 157–166. https://doi.org/10.25134/erjee.v9i1.3788
Jalilifar, A., & Niamadpour, V. (2024). Teaching English as a Second Language Quarterly (TESLQ) (Formerly Journal of Teaching Language Skills) Online Book Reviews in Sciences: Structural and Functional Differences in Lexical Bundles. Formerly Journal of Teaching Language Skills), 43(4), 87–116. https://doi.org/10.22099/tesl.2024.49990.3280
Jowarder, M. I. (2023). The Influence of ChatGPT on Social Science Students: Insights Drawn from Undergraduate Students in the United States. Indonesian Journal of Innovation and Applied Sciences (IJIAS), 3(2), 194–200. https://doi.org/10.47540/ijias.v3i2.878
Khamkhien, A. (2021). Functional Patterns of Lexical Bundles and Limitations in Academic Writing by Thai L2 English Learners. Journal of English Language Teaching and Linguistics, 6(3), 607. https://doi.org/10.21462/jeltl.v6i3.629
Kim, S., & Kessler, M. (2022). Examining L2 English University students’ uses of lexical bundles and their relationship to writing quality. Assessing Writing, 51. https://doi.org/10.1016/j.asw.2021.100589
Lee, I. (2021). The Development of Feedback Literacy for Writing Teachers. TESOL Quarterly, 55(3), 1048–1059. https://doi.org/10.1002/tesq.3012
Limbong, S., Alberto, & Frans Tandibura. (2023). Lecturer’s Personal and Social Competence Toward Students’ Writing Proficiency in EFL Classroom. Journal of English Education and Teaching, 7(4), 914–927. https://doi.org/10.33369/jeet.7.4.914-927
Liu, X., Ou, J., Song, Y., & Jiang, X. (2021). Exploring Discourse Structures for Argument Impact Classification. Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 3958–3969. https://doi.org/10.18653/V1/2021.ACL-LONG.306
Long, B., Shao, S., Yao, J., & Zhang, J. (2024). Structural and Functional Usages of Lexical Bundle in Native and Non-Native English Sociology Academic Writings: A Comparative Study Based on MICUSP. English Language Teaching and Linguistics Studies, 6(4), p11. https://doi.org/10.22158/eltls.v6n4p11
Mahapatra, S. (2024). Impact of ChatGPT on ESL students’ academic writing skills: a mixed methods intervention study. Smart Learning Environments, 11(1). https://doi.org/10.1186/s40561-024-00295-9
Malik, Z. A. (2023). A Corpus-based Study of the Lexical Bundles in the Ph. D Linguistics Dissertations’ Abstracts in Pakistani Universities. Pakistan Journal of Humanities and Social Sciences, 11(2), 2317–2325. https://doi.org/10.52131/pjhss.2023.1102.0524
Markey, B., Brown, D. W., Laudenbach, M., & Kohler, A. (2024). Dense and Disconnected: Analyzing the Sedimented Style of ChatGPT-Generated Text at Scale. Written Communication. https://doi.org/10.1177/07410883241263528
Markowitz, D. M., Hancock, J. T., & Bailenson, J. N. (2023). Linguistic Markers of Inherently False AI Communication and Intentionally False Human Communication: Evidence from Hotel Reviews. Journal of Language and Social Psychology. https://doi.org/https://doi.org/10.31234/osf.io/mnyz8
Mizumoto, A., Yasuda, S., & Tamura, Y. (2024). Identifying ChatGPT-generated texts in EFL students’ writing: Through comparative analysis of linguistic fingerprints. Applied Corpus Linguistics, 4(3). https://doi.org/10.1016/j.acorp.2024.100106
Punar Özçelik, N., & Yangın Ekşi, G. (2024). Cultivating writing skills: the role of ChatGPT as a learning assistant—a case study. Smart Learning Environments, 11(1). https://doi.org/10.1186/s40561-024-00296-8
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