IDEAS home Printed from https://ideas.repec.org/a/adx/jessjr/v5y2024i1p56-68.html
   My bibliography  Save this article

The Impact of ChatGPT on Language Evolution: A Linguistic Analysis

Author

Listed:
  • Hina Rafique
  • Imran Nazeer
  • Jawaria Rehman

Abstract

This research sought to identify changes in terms of word choice, sentence structure, and semantics introduced by ChatGPT and how the functionality of ChatGPT impacts the pragmatics of the English language: politeness, deixis, and discourse markers. This study used corpus analysis as part of the methodology involving Natural Language Processing (NLP) tools for part-of-speech tagging and sentiments, analyzing changes in wordings, syntaxes, and semantic elements generated by ChatGPT as an advanced language modal. A qualitative approach, including user surveys and comparative analysis, proved useful in clarifying the changing patterns of politeness, deixis, and discourse markers in AI-supported communication. Henceforth, ChatGPT generates neologism, unique cultural references, verbal contextual adaptations, and a wide range of technical terms. Moreover, the researchers found that user preferences for communication mediums vary, which showed a complex field of users and their expectations in the context of language generated by ChatGPT. Thus, it was observed that ChatGPT contributes significantly to developing the pragmatic aspects of language use in the modern era. Hence, the study proposes that the ChatGPT polishes the usage of politeness terms and improves its deixis along with formal discourse markers. This highlights the need for continuous improvement, especially in areas such as politeness, deixis management, and integration of discourse markers for the developers.

Suggested Citation

  • Hina Rafique & Imran Nazeer & Jawaria Rehman, 2024. "The Impact of ChatGPT on Language Evolution: A Linguistic Analysis," Journal of Education and Social Studies, Science Impact Publishers, vol. 5(1), pages 56-68.
  • Handle: RePEc:adx:jessjr:v:5:y:2024:i:1:p:56-68
    as

    Download full text from publisher

    File URL: https://www.scienceimpactpub.com/journals/index.php/jess/article/view/791/453
    Download Restriction: no
    ---><---

    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:adx:jessjr:v:5:y:2024:i:1:p:56-68. 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: Dr. Shahbaz Ahmad (email available below). General contact details of provider: https://www.scienceimpactpub.com/journals/index.php .

    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.