Alahmari, S. orcid.org/0009-0002-6490-3295, Atwell, E. and Alsalka, M. A.
(2024)
ChatGPT for Identifying Saudi Arabic Dialects.
International Journal on Islamic Applications in Computer Science And Technology, 12 (1).
pp. 12-18.
ISSN 2289-4012
Abstract
According to Alwakid (2020),Saudipeoplespeak-ingeneral- five main dialects namely; Hejazi (spoken by people in western regions), Najdi (spoken by people in central regions), Sharqawi (spoken by peo- ple in eastern regions), Janubi (spoken by people in southern regions), and Shamali (spoken by people in northern regions) were selected in this study. In this study, we examined the ability of ChatGPT to identify these sub-dialects by collecting a representative sample dataset from Twitter1. The experimental results demonstrate that ChatGPT achieved an overall accuracy of 0.42 in our sample dataset.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Keywords: | ChatGPT, Saudi Arabic Dialects, Dialects Identification, Arabic NLP, Social Media |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 02 Jan 2025 11:48 |
Last Modified: | 16 Jan 2025 16:03 |
Published Version: | https://www.sign-ific-ance.co.uk/index.php/IJASAT/... |
Status: | Published |
Publisher: | Design for Scientific Renaissance |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:221113 |