The Role of Digital History Methodology and Artificial Intelligence Technologies in Studying the Written Heritage of Central Asia

Authors

  • Xilola Sadriddin qizi Shamsiddinova Author

DOI:

https://doi.org/10.5281/zenodo.21525655

Keywords:

Digital history, Digital Humanities, artificial intelligence, manuscripts, OCR technology, neural networks, Big Data, historical source studies

Abstract

This article studies the theoretical and methodological foundations of the discipline of digital history (Digital History) and the role of modern information technologies in digitising and analysing ancient manuscripts in Arabic script (in Old Uzbek, Persian and Arabic) in Central Asia, in particular in the territory of Uzbekistan. The article analyses the problems of automatic reading (OCR) of historical texts with the help of artificial intelligence, neural networks and computer vision (Computer Vision), as well as current issues of working with "Big Data" in historical source studies.

NINE muqovasi

Downloads

Published

2026-07-24

Issue

Vol. 3 No. 7 (2026): July 2026

Section

Articles

License

Copyright (c) 2026 The author(s)

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

The Role of Digital History Methodology and Artificial Intelligence Technologies in Studying the Written Heritage of Central Asia. (2026). New Innovations in National Education, 3(7). https://doi.org/10.5281/zenodo.21525655

References

[1] Karimov A. Raqamli gumanitar fanlar va tarixiy tadqiqotlar metodologiyas i.Toshkent: va texnologiya, 2021. – 45-50. [2] Schreibman S., Siemens R., Unsworth J. A Companion to Digital Humanities. – Oxford: B. Blackwell, 2016. – B. 112-118. [3] Alimova D. Tarixiy tadqiqotlarda raqamli texnologiyalar: muammo va yechimlar. // O‘zbekiston tarixi jurnali. – Toshkent, 2023. – №3. – B. 14-22. [4] Solihov Sh. Markaziy Osiyo qo‘lyozma merosini raqamlashtirish va kataloglashtirish tajribasi. – Samarqand: Imom Buxoriy xalqaro ilmiy-tadqiqot markazi, 2022. – B. 95-103. [5] Yo‘ldoshev N., Qodirov R. Qadimiy qo‘lyozmalarni o‘qishda neyron tarmoqlaridan foydalanish muammolari. – Toshkent: Axborot texnologiyalari, 2024. – B.