IDEAS home Printed from https://ideas.repec.org/a/cvr/ijisrt/202607ijisrt26jul101.html

Problems of Artificial Intelligence for the Azerbaijani Language: The Impact of Limited Language Corpus

Author

Listed:
  • Raksana Aliashrafova

  • Namiq Abdurahmanov

  • Gunel Aghammadova

  • Vafa Atayeva

Abstract

Artificial intelligence (AI) systems, such as large-scale speech recognition systems, are vital for acquiring linguistic competence and achieving this is essential for their use. Thus, for large-scale speech recognition systems, acquisition of linguistic competence is essential for usage of the system. Even for the widely spoken language like English, Mandarin and Spanish, these corpora are vast and have hundreds of billions of tokens, which can be used to power up virtually all natural-language processing (NLP) tasks. In the online world, however, the Azerbaijani language is far less well resourced: publicly available language corpora are limited to a small number of high-resource languages. In the article, the main problems related to corpus scarcity, such as poor quality of machine translation, incorrect morphological processing, recognition dialects of the Azerbaijan language and failure of chatbots to understand the Azerbaijan language are discussed.

Suggested Citation

  • Raksana Aliashrafova & Namiq Abdurahmanov & Gunel Aghammadova & Vafa Atayeva, 2026. "Problems of Artificial Intelligence for the Azerbaijani Language: The Impact of Limited Language Corpus," International Journal of Innovative Science and Research Technology (IJISRT), IJISRT Publication, vol. 11(07), pages 191-194, July.
    • Handle: RePEc:cvr:ijisrt:2026:07:ijisrt26jul101
    DOI: https://doi.org/10.38124/ijisrt/26jul101
    as

    Download full text from publisher

    File URL: https://www.ijisrt.com/problems-of-artificial-intelligence-for-the-azerbaijani-language-the-impact-of-limited-language-corpus
    Download Restriction: no
    File URL: https://libkey.io/https://doi.org/10.38124/ijisrt/26jul101?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:cvr:ijisrt:2026:07:ijisrt26jul101. 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: Rahul Goyel (email available below). General contact details of provider: https://www.ijisrt.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.