IDEAS home Printed from https://ideas.repec.org/a/alk/ijllt0/v7y2024i6id7340.html

SubGPT: An Automated Tool for Subtitle-Template Translation

Author

Listed:
  • Hussein Abu-Rayyash

    (Kent State University, Department of Modern & Classical Language Studies, USA)

  • Ali Al-Ramadan

    (Kent State University, Department of Computer Science, USA)

Abstract

SubGPT is an automated subtitle translation tool that integrates OpenAI's GPT to generate translations from Source Language Subtitle Template (SRT) files. The tool employs customized prompts to produce translations adapted for different dialects and vernaculars, while maintaining the spatial and temporal aspects of the original subtitles. A mixed-methods approach is used to evaluate SubGPT's performance, combining cosine similarity metrics and qualitative assessments from professional subtitlers. The results demonstrate the tool's effectiveness in handling diverse linguistic challenges and its potential for improving efficiency and accessibility in the audio-visual translation (AVT) industry. The tool contributes to the advancement of the AVT field through the integration of large language models for culturally and linguistically automated translation, with potential applications in different domains such as entertainment and education.

Suggested Citation

  • Hussein Abu-Rayyash & Ali Al-Ramadan, 2024. "SubGPT: An Automated Tool for Subtitle-Template Translation," International Journal of Linguistics, Literature and Translation, Al-Kindi Center for Research and Development, vol. 7(6), pages 126-134, May.
  • Handle: RePEc:alk:ijllt0:v:7:y:2024:i:6:id:7340
    DOI: 10.32996/ijllt.2024.7.6.14
    as

    Download full text from publisher

    File URL: https://al-kindipublisher.com/index.php/ijllt/article/view/7340
    File Function: Abstract page
    Download Restriction: no

    File URL: https://al-kindipublisher.com/index.php/ijllt/article/download/7340/6298
    File Function: Full text
    Download Restriction: no

    File URL: https://libkey.io/10.32996/ijllt.2024.7.6.14?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:7:y:2024:i:6:id:7340. 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.