IDEAS home Printed from https://ideas.repec.org/h/spr/prbchp/978-3-031-67511-9_7.html
   My bibliography  Save this book chapter

Challenges and Opportunities in Translation Studies: The Evolving Role of Generative AI in Translation Development

In: Sustainability and Financial Services in the Digital Age

Author

Listed:
  • Sahar Yousif Mohammed

    (Anbar University)

  • Abed Shahooth Khalaf

    (Anbar University)

  • Mohammed Aljanabi

    (Al-Iraqia University
    Imam Ja’afar Al-Sadiq University)

  • Maad M. Mijwil

    (Baghdad College of Economic Sciences University)

Abstract

Generative AI is transforming translation research, advancing translation progress. Generative AI’s translation challenges and benefits are examined in this article. Early translation was shaped by rule-based frameworks and statistical models. Precision and context comprehension were limited by this method. Generative AI, especially neural machine translation and GPT (Generative Pre-trained Transformer), has revolutionized translation methods. The above advancements have substantially increased translation accuracy, fluency, and contextual awareness while addressing linguistic intricacies, domain-specific vocabulary, and cultural allusions. Despite these improvements, languages with limited resources, language translation, and linguistic variation preservation remain difficulties. However, Generative AI research continues to expand translation studies and offer promising solutions and innovative methods. This essay examines Generative AI’s shifting role in translation, emphasizing its profound impact and anticipating future translation studies research and deployment.

Suggested Citation

  • Sahar Yousif Mohammed & Abed Shahooth Khalaf & Mohammed Aljanabi & Maad M. Mijwil, 2024. "Challenges and Opportunities in Translation Studies: The Evolving Role of Generative AI in Translation Development," Springer Proceedings in Business and Economics, in: Nadia Mansour & Lorenzo M. Bujosa Vadell (ed.), Sustainability and Financial Services in the Digital Age, pages 107-117, Springer.
  • Handle: RePEc:spr:prbchp:978-3-031-67511-9_7
    DOI: 10.1007/978-3-031-67511-9_7
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    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:spr:prbchp:978-3-031-67511-9_7. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.