A Study on the Features of Adversative Conjunctions in English Theses of Chinese EFL Postgraduates
A Corpus-Based Analysis and its Implications
- DOI
- 10.2991/978-2-38476-263-7_29How to use a DOI?
- Keywords
- adversative conjunctions; thesis; academic discourse; corpus-based analysis; EFL; cohesion
- Abstract
English as a Foreign Language (EFL) learners frequently encounter issues concerning the effective acquisition and deployment of parts of speech during their second language learning process. This study aims to investigate the frequency, distribution, and semantic features of adversative conjunction (AC) usage among Chinese EFL postgraduates (Master’s and Doctoral candidates) through a combination of informational and quantitative analyses of self-established corpora. It further delves into the fundamental causes that might contribute to the prevalence of errors in the use of such conjunctions by these learners and explores the association between their proper deployment and the quality of students’ writing. Ultimately, the study offers actionable insights that can inform pedagogical practices in English language instruction.
- Copyright
- © 2024 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 - Shihan Wang PY - 2024 DA - 2024/07/03 TI - A Study on the Features of Adversative Conjunctions in English Theses of Chinese EFL Postgraduates BT - Proceedings of the 2024 2nd International Conference on Language, Innovative Education and Cultural Communication (CLEC 2024) PB - Atlantis Press SP - 210 EP - 219 SN - 2352-5398 UR - https://doi.org/10.2991/978-2-38476-263-7_29 DO - 10.2991/978-2-38476-263-7_29 ID - Wang2024 ER -