Diachronic Analysis of Educational Keywords in China’s Government Work Reports: A Corpus-Based Study on Policy Discourse Evolution
Authors
Cannan Chen1, *
1School of International Studies, Guangdong University of Technology, Guangzhou, China
*Corresponding author.
Email: 2631863196@qq.com
Corresponding Author
Cannan Chen
Available Online 12 September 2025.
- DOI
- 10.2991/978-2-38476-462-4_10How to use a DOI?
- Keywords
- Education; Government Work Reports; Diachronic Analysis
- Abstract
This project constructs a corpus by collecting content related to education from the Chinese government work reports. The study examines the key points and directions of China’s educational policies in different periods, aiming to uncover the underlying characteristics and evolution patterns of these policies. Corpus tools like AntConc and Wordsmith, are used to analyze the collected corpus. Ultimately, the trends and shifts of China’s educational policies are revealed. From the results, China has presented itself as an education power that is constantly improving the quality of education and developing education.
- Copyright
- © 2025 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
TY - CONF AU - Cannan Chen PY - 2025 DA - 2025/09/12 TI - Diachronic Analysis of Educational Keywords in China’s Government Work Reports: A Corpus-Based Study on Policy Discourse Evolution BT - Proceedings of the 2025 9th International Seminar on Education, Management and Social Sciences (ISEMSS 2025) PB - Atlantis Press SP - 77 EP - 84 SN - 2352-5398 UR - https://doi.org/10.2991/978-2-38476-462-4_10 DO - 10.2991/978-2-38476-462-4_10 ID - Chen2025 ER -