IDEAS home Printed from https://ideas.repec.org/a/alk/ijllt0/v5y2022i4id3166.html

From the Perspectives of Attitude System: A Corpus-based Study of The Time Machine

Author

Listed:
  • Jiaxin Li

    (Postgraduate Student, School of Foreign Studies, Jinan University, Guangzhou, China)

Abstract

H.G.Wells’ The Time Machine is a famous scientific fiction, but it is rich in theme. It might be regarded as a political fable or a dystopia as well as one of the first works of science fiction. Since the publication of this novel, studies on The Time Machine have mainly focused on the aspects of its genre and narrative art, and only a few studies were conducted from the linguistic perspective. Through a corpus-based method, this paper focuses on how Wells expresses his concerns about social class division and the degradation of human society in The Time Machine. Under the guidance of Appraisal Theory, Attitude resources that are related to Wells will be classified and analyzed with some appropriate examples. The findings show that Wells employs more positive Attitude resources to glorify the civilized human society represented by the Eloi and express his concern about the degradation of human civilization. This research discusses Wells attitude in The Time Machine, which provides an alternative perspective on the analysis of this novel and proves the practicability of the Attitude System in the analysis of literature works.

Suggested Citation

  • Jiaxin Li, 2022. "From the Perspectives of Attitude System: A Corpus-based Study of The Time Machine," International Journal of Linguistics, Literature and Translation, Al-Kindi Center for Research and Development, vol. 5(4), pages 50-55, April.
    • Handle: RePEc:alk:ijllt0:v:5:y:2022:i:4:id:3166
    DOI: 10.32996/ijllt.2022.5.4.7
    as

    Download full text from publisher

    File URL: https://al-kindipublisher.com/index.php/ijllt/article/view/3166
    File Function: Abstract page
    Download Restriction: no
    File URL: https://al-kindipublisher.com/index.php/ijllt/article/download/3166/2763
    File Function: Full text
    Download Restriction: no
    File URL: https://libkey.io/10.32996/ijllt.2022.5.4.7?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    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:alk:ijllt0:v:5:y:2022:i:4:id:3166. 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: Al-Kindi Center for Research and Development (email available below). General contact details of provider: https://al-kindipublisher.com/index.php/ijllt .

    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.