Proceedings of the International Conference on Environmental Learning Educational Technologies (ICELET 2023)

<Previous Article In Volume
Next Article In Volume>

Analysis of the Use of Artificial Intelligence-Based Applications in Arabic Text Automatic Diacritization

Authors
Chakam Failasuf1, *, Siti Jubaidah1, Mohamad Sarip1, Ihwan Rahman Bahtiar1
1Arabic Education Department, Faculty of Languages dan Arts, Universitas Negeri Jakarta, Jakarta, Indonesia
*Corresponding author. Email: chakamfailasuf@unj.ac.id
Corresponding Author
Chakam Failasuf
Available Online 2 May 2024.
DOI
10.2991/978-2-38476-240-8_12How to use a DOI?
Keywords
Arabic; artificial intelligence; diacritization; text
Abstract

Education has been transformed by the development of artificial intelligence (AI) technology that can assist humans with tasks. Nowadays, learning is made easier by a variety of AI-based apps as well as teachers and books. An artificial intelligence-based tool for learning the Arabic language is Tashkeel, which is particularly suitable for diacriticizing Arabic texts to make them easier to understand. The accuracy of the Tashkeel application in applying Harakat to Arabic texts remains to be tested, although it is widely trusted. The purpose of this study is to evaluate the accuracy of the Tashkeel application in applying Harakat to Arabic texts and to find out what students think about it. This study uses a sequential explanatory model in a mixed research design. The instruments used in the study were questionnaires and records detailing the results of applying Harakat to Arabic words, sentences, and texts using the Tashkeel program. Following data collection, quantitative analysis was conducted using basic descriptive statistics. The results showed Tashkeel’s high accuracy in applying Harakat to Arabic texts. However, users still must criticize the results when applying Harakat to longer texts. According to the results of the study, most students have used this application and believe that its availability has been helpful.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the International Conference on Environmental Learning Educational Technologies (ICELET 2023)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
2 May 2024
ISBN
10.2991/978-2-38476-240-8_12
ISSN
2352-5398
DOI
10.2991/978-2-38476-240-8_12How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Chakam Failasuf
AU  - Siti Jubaidah
AU  - Mohamad Sarip
AU  - Ihwan Rahman Bahtiar
PY  - 2024
DA  - 2024/05/02
TI  - Analysis of the Use of Artificial Intelligence-Based Applications in Arabic Text Automatic Diacritization
BT  - Proceedings of the International Conference on Environmental Learning Educational Technologies (ICELET 2023)
PB  - Atlantis Press
SP  - 129
EP  - 139
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-240-8_12
DO  - 10.2991/978-2-38476-240-8_12
ID  - Failasuf2024
ER  -