A Metaphorical Research on Language – Thought Relationship
Authors
Zhonger Wang1, *, Nurliyana Bukhari2, Qi Tang3
1School of Foreign Language, Shanghai Lixin University of Accounting and Finance, Shanghai, China
2School of Education and Modern Languages, Universiti Utara Malaysia, Changlun, Malaysia
3School of International Business, Chongqing Technology and Business University, Chongqing, China
*Corresponding author.
Email: ZhongerWang@hotmail.com
Corresponding Author
Zhonger Wang
Available Online 11 July 2023.
- DOI
- 10.2991/978-2-38476-062-6_146How to use a DOI?
- Keywords
- Metaphor; Metaphoricity; Interaction
- Abstract
Language-thought relation has been explored in different perspectives, and diverse hypotheses have been proposed concerning this relationship such s the thought-as-speech theory, thought determination, linguistic determination and interaction theory. Metaphor is traditionally viewed as a linguistic phenomenon, which is now taken as a thinking method. The omnipresence of metaphor in speech and thinking provides us with a very good perspective into the research of language-thought relationship.
- 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
TY - CONF AU - Zhonger Wang AU - Nurliyana Bukhari AU - Qi Tang PY - 2023 DA - 2023/07/11 TI - A Metaphorical Research on Language – Thought Relationship BT - Proceedings of the 2023 2nd International Conference on Social Sciences and Humanities and Arts (SSHA 2023) PB - Atlantis Press SP - 1141 EP - 1149 SN - 2352-5398 UR - https://doi.org/10.2991/978-2-38476-062-6_146 DO - 10.2991/978-2-38476-062-6_146 ID - Wang2023 ER -