IDEAS home Printed from https://ideas.repec.org/a/alk/ijtis0/v2y2022i1id3454.html

Literature Translation through Discourse and Register Analysis Approach: A Systematic Review

Author

Listed:
  • Danica Ignacio

    (Bulacan State University, City of Malolos, Philippines)

  • Reynalyn Salundagit

    (Bulacan State University, City of Malolos, Philippines)

  • Ramil Ilustre

    (Professional Lecturer of English, Bulacan State University, City of Malolos, Philippines)

Abstract

This scoping review studies how translation works through discourse and register analysis approach. In translation, different translation types have been successfully practiced. In interlingual translation, translating means beyond the word-for-word translation. In literature translation, the translation process demands improvement, especially in classical literature that needs to be understood in a target foreign culture. This systematic review aims to study how translation processes work and how discourse and register analysis approaches can improve translation products. Discourse analysis deals with how language communicates and holds its social and power relations. Discourse analysis aims to understand and investigate sentences and discourse through their underlying social and cultural context. Through the metafunctions of language, register variables such as the field, tenor, and mode, as well as through comparative analysis of the source text and the target text, translation products could be more efficient for the target audience. Hence, it can ensure translation quality. The conclusions of this systematic review could lead to future studies to improve translation quality through discourse and register analysis approach.

Suggested Citation

  • Danica Ignacio & Reynalyn Salundagit & Ramil Ilustre, 2022. "Literature Translation through Discourse and Register Analysis Approach: A Systematic Review," International Journal of Translation and Interpretation Studies, Al-Kindi Center for Research and Development, vol. 2(1), pages 98-103, January.
  • Handle: RePEc:alk:ijtis0:v:2:y:2022:i:1:id:3454
    DOI: 10.32996/ijtis.2022.2.1.13
    as

    Download full text from publisher

    File URL: https://al-kindipublisher.com/index.php/ijtis/article/view/3454
    File Function: Abstract page
    Download Restriction: no

    File URL: https://libkey.io/10.32996/ijtis.2022.2.1.13?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:ijtis0:v:2:y:2022:i:1:id:3454. 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/ijtis .

    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.