IDEAS home Printed from https://ideas.repec.org/a/ibn/eltjnl/v15y2022i4p67.html
   My bibliography  Save this article

A Cognitive Study of Spatial Metaphors in English “Deep†and Chinese “Shenâ€

Author

Listed:
  • Yanting Wu

Abstract

This paper presents an analysis and comparison of the projection of Chinese “shen” and English “deep” from the spatial domain to other domains of time, sense, emotion, behavior, and society from a cognitive perspective by using the comparative and contrastive method, explaining the universality and differences of SHEN and DEEP in the metaphorical domain concerning their collocation, usage, and frequency under Chinese and English cultural contexts, which serves as an insight for foreign language teaching, translation practice and cross-cultural communication. The results show that since humans share a similar physical structure and living environment, the spatial adjectives “deep” and “shen” show a lot of similarities. However, the usage, collocation, and frequency of use of “deep” and “shen” still reveal some variations, which might have great implications for second language learning and teaching.

Suggested Citation

  • Yanting Wu, 2022. "A Cognitive Study of Spatial Metaphors in English “Deep†and Chinese “Shenâ€," English Language Teaching, Canadian Center of Science and Education, vol. 15(4), pages 1-67, April.
  • Handle: RePEc:ibn:eltjnl:v:15:y:2022:i:4:p:67
    as

    Download full text from publisher

    File URL: https://ccsenet.org/journal/index.php/elt/article/download/0/0/46960/50265
    Download Restriction: no

    File URL: https://ccsenet.org/journal/index.php/elt/article/view/0/46960
    Download Restriction: no
    ---><---

    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ibn:eltjnl:v:15:y:2022:i:4:p:67. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Canadian Center of Science and Education (email available below). General contact details of provider: https://edirc.repec.org/data/cepflch.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.