The Reality of Arabic Language in AI Applications: an Applied Descriptive Study
DOI:
https://doi.org/10.35516/hum.v52i2.6352Keywords:
Applied linguistics, Artificial intelligence, Arabic language.Abstract
Objectives: This paper aims to investigate the relation binding artificial intelligence with linguistics. It also aims to examine the representation of basic knowledge which supports the understanding process. The paper also sheds light on the modern methods to understand natural language and the mechanism through which artificial intelligence operates. The paper also presents some of the applications that show how artificial intelligence radically affects Arabic learning as well as writing.
Method: The study used the descriptive applied approach via presenting the mechanism of artificial intelligence operation and its importance. The paper also presented three programs that employ artificial intelligence and use Arabic in their application. The paper also used the analytical approach which helped the researcher dig out the study’s conclusions and recommendations.
Results: The study results highlighted the importance of increasing the Arabic content on the Internet to enable artificial software engines to respond to the content and analyze it. The results called for the importance of exposing more Arabic data to more artificial language software to better the systems’ efficiency in understanding and improve interaction with speakers of Arabic.
Conclusion: Since addressing the reality of Arabic language in modern technology, especially in artificial intelligence, has become inevitable, the study calls for the necessity of presenting and conducting more studies to help specialists as well decision makers support and fund the applications that rely on artificial intelligence and serve Arabic in all its levels.
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Bendridi, A. (2021b). Uses of Communicative and collaborative activities in E-Learning: Moodle Platform as a model. Ijaz Arabi, 4(2). https://doi.org/10.18860/ijazarabi.v4i2.10923
Badia, A., Martín, D. D., & Gómez, M. G. (2018). Teachers’ perceptions of the use of Moodle activities and their learning impact in secondary education. Technology, Knowledge, and Learning, 24(3), 483–499. https://doi.org/10.1007/s10758-018-9354-3
Buchanan, B. G. (2005). A (Very) brief history of artificial intelligence. Ai Magazine, 26(4), 53–60. https://doi.org/10.1609/aimag.v26i4.1848
Castelli, M., & Manzoni, L. (2022). Special issue: Generative Models in Artificial Intelligence and their applications. Applied Sciences, 12(9), 4127. https://doi.org/10.3390/app12094127
Rintel, S. (2012). Internet Linguistics: A Student Guide. Australian Review of Applied Linguistics, 35(2), 218–220. https://doi.org/10.1075/aral.35.2.07rin
Faltah, A., & Zerrougui, R. (2020). The role of artificial intelligence in improving the quality of higher education. The Arab Journal of Specific Education, (4), 12.
Al Obaidi, N. (2021). The Effect of Using Google Applications on Developing Reading and Writing Skills and Acquisition of Grammatical Concepts Among Students of The Native Arabic Language in Middle School in Sweden. Scientific Journal of Educational Sciences and Psychological Health, 3(2).
Sharma, M. (2023). DevApplication of Artificial Intelligence for Voice Recognition. India: Notion press.
المواقع الإلكترونية
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Copyright (c) 2024 Dirasat: Human and Social Sciences

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Accepted 2024-01-29
Published 2024-12-19