IDEAS home Printed from https://ideas.repec.org/a/alk/jeltal/v4y2022i2id3323.html

A Proposed Collocational Marker for the Computational Identification of Metaphor: The Case of Metaphor in the Ever-Glorious Qur’ān

Author

Listed:
  • Amal Abdelsattar Metwally

    (Faculty of Languages and Translation, King Khalid University, Abha, Saudi Arabia)

  • Dalal Mahmoud Elgemei

    (Department of English Language Literature and Simultaneous Interpretation, Faculty of Humanities AlAzhar University, Cairo, Egypt)

Abstract

The present paper is a corpus-based study that proposes a collocational criterion to computationally identify metaphor with special reference to metaphor in the Ever-Glorious Qur'ān. The study draws on studies on metaphors in the Ever-Glorious Qur'ān, the conceptual theory of metaphor (1980), studies on collocations as well as computational studies of metaphor, in general, to finally arrive at a collocational marker for metaphoricity toward a computational identification of metaphor in the Ever-Glorious Qur'ān. The study adopts a quantitative as well as a qualitative approach in investigating and analyzing metaphors in the corpus to contribute to the input of computer software for identifying metaphor candidates (i.e., lexical items that are likely to have been used metaphorically). The corpus of the study is two surahs from the Ever-Glorious Qur'ān, namely Sūrat Yūsuf and Sūrat Ar-Rā’d. The manual identification of metaphors on the two Sūrahs of the study is achieved by referring to authentic exegeses of the Ever-Glorious Qur'ān and interpreting the meanings of the Ever-Glorious Qur'ān. The paper ends by suggesting a collocational marker for metaphors in the Ever-Glorious Qur'ān, which could be adopted and applied to other corpora.

Suggested Citation

  • Amal Abdelsattar Metwally & Dalal Mahmoud Elgemei, 2022. "A Proposed Collocational Marker for the Computational Identification of Metaphor: The Case of Metaphor in the Ever-Glorious Qur’ān," Journal of English Language Teaching and Applied Linguistics, Al-Kindi Center for Research and Development, vol. 4(2), pages 73-85, March.
    • Handle: RePEc:alk:jeltal:v:4:y:2022:i:2:id:3323
    DOI: 10.32996/jeltal.2022.4.2.7
    as

    Download full text from publisher

    File URL: https://al-kindipublisher.com/index.php/jeltal/article/view/3323
    File Function: Abstract page
    Download Restriction: no
    File URL: https://al-kindipublisher.com/index.php/jeltal/article/download/3323/2911
    File Function: Full text
    Download Restriction: no
    File URL: https://libkey.io/10.32996/jeltal.2022.4.2.7?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

    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:jeltal:v:4:y:2022:i:2:id:3323. 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/jeltal .

    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.