Nilufar Barnoyeva
Foreign Languages Department, Tashkent University of Information Technologies named after Mukhammad al Khwarazmi, Amir Temur Street, Tashkent 100084, Uzbekistan
Gulnoza Sabirova
Tashkent Institute of Irrigation and Agricultural Mechanization Engineers, National Research University, Kari Niyaziy 39 str, Tashkent 100000, Uzbekistan
Dilnoza Radjabova
Foreign Languages Department, Tashkent University of Information Technologies named after Mukhammad al Khwarazmi, Amir Temur Street, Tashkent 100084, Uzbekistan
Xilola Umarxo’ jayeva
Foreign Languages Department, Tashkent University of Information Technologies named after Mukhammad al Khwarazmi, Amir Temur Street, Tashkent 100084, Uzbekistan
Gulchekhra Razzokova
Foreign Languages Department, Tashkent University of Information Technologies named after Mukhammad al Khwarazmi, Amir Temur Street, Tashkent 100084, Uzbekistan
Sitora Daniyarova
Foreign Languages Department, Tashkent University of Information Technologies named after Mukhammad al Khwarazmi, Amir Temur Street, Tashkent 100084, Uzbekistan
Dilafruz Saidvalieva
Foreign Languages Department, Tashkent University of Information Technologies named after Mukhammad al Khwarazmi, Amir Temur Street, Tashkent 100084, Uzbekistan
By improving linguistic analysis and digital literacy, corpus linguistics' incorporation into information and communication technologies (ICT) education empowers students to use standardized research techniques across languages. Thanks to ICT tools, students become active researchers instead of passive learners, encouraging linguistic inquiry. This multidisciplinary method updates corpus-based research for worldwide relevance by utilizing automation and data analysis. Using the Web of Science and Scopus databases, this study performs a bibliometric analysis of publications on corpus linguistics in ICT education from 2004 to 2024. VOSviewer, Excel, and CSV files were used for data extraction, screening, and analysis. The study provides information about the knowledge structure of the field by identifying publication trends, essential authors, journals, and keyword clusters. The study shows that corpus linguistics research among ICT students follows a cyclical pattern, with Web of Science peaking in 2014 and Scopus peaking in 2018. Publications from early research (2004–2010) were few, but after 2010, interest increased. For 20 years, key terms have not changed, highlighting a long-term scholarly focus. Research trends are heavily influenced by institutional structures, disciplinary traditions, and ICT adoption; this emphasizes the necessity of customized ICT policies in corpus linguistics education. Based on cyclical publication patterns in Web of Science and Scopus, the findings show a shift from a theoretical focus to ICT integration. The study emphasizes how interdisciplinary approaches are necessary to improve the sustainability and accessibility of corpus linguistics in ICT education.
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Copyright © 2025 Nilufar Barnoyeva, Gulnoza Sabirova, Dilnoza Radjabova, Xilola Umarxo’ jayeva, Gulchekhra Razzokova, Sitora Daniyarova, Dilafruz Saidvalieva
This is an open access article under the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) License.
