Analysis of the Use of Artificial Intelligence-Based Applications in Arabic Text Automatic Diacritization
- 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.
Cite this article
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 -