IDEAS home Printed from https://ideas.repec.org/a/alk/ijllt0/v5y2022i6id3523.html

The Study on Transitivity of Scientific Fiction: The Time Machine as an Example

Author

Listed:
  • Yuan Luo

    (Department of English, JiNan University, Guangzhou city, China)

Abstract

Corpus as a tool has been introduced in literature and linguistics for many years, allowing linguistic features and authorial style more visible and appreciable to readers. Based on Biber’s MD/MF method and semantic field, this research is interested in linguistic features of science fiction and finds that transitivity is what makes science fiction distinguishable from science articles and novels. The current research is corpus-based, and corpora included in this research consist of Silence Spring (science article), The Time Machine (science fiction), and Jane Eyre (romance novel). This paper takes aims to investigate the 'transitivity' of science fiction by comparing three novels of different types. By means of the MD/MF method, the paper has found that transitivity in science fiction is achieved by TTR, mean word length, and mean sentence length. These findings may direct potential writers to focus on linguistic features worthy of notice, and readers can have a better understanding when they are reading novels.

Suggested Citation

  • Yuan Luo, 2022. "The Study on Transitivity of Scientific Fiction: The Time Machine as an Example," International Journal of Linguistics, Literature and Translation, Al-Kindi Center for Research and Development, vol. 5(6), pages 122-134, June.
  • Handle: RePEc:alk:ijllt0:v:5:y:2022:i:6:id:3523
    DOI: 10.32996/ijllt.2022.5.6.14
    as

    Download full text from publisher

    File URL: https://al-kindipublisher.com/index.php/ijllt/article/view/3523
    File Function: Abstract page
    Download Restriction: no

    File URL: https://al-kindipublisher.com/index.php/ijllt/article/download/3523/3116
    File Function: Full text
    Download Restriction: no

    File URL: https://libkey.io/10.32996/ijllt.2022.5.6.14?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

    Keywords

    ;
    ;
    ;
    ;

    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:6:id:3523. 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.