Beyond Cairo: Sa’idi Egyptian Arabic Corpus Construction and Analysis
Eida, Mai Mohamed Habash, Nizar
Eida, Mai Mohamed
Habash, Nizar
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Natural Language Processing
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Conference proceeding
Date
2025
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English
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Abstract
Egyptian Arabic (EA) NLP resources have mainly focused on Cairene Egyptian Arabic (CEA), leaving sub-dialects like Sa’idi Egyptian Arabic (SEA) underrepresented. This paper introduces the first SEA corpus – an open-source, 4-million-word literary dataset of a dialect spoken by ~30 million Egyptians. To validate its representation, we analyze SEA-specific linguistic features from dialectal surveys, confirming a higher prevalence in our corpus compared to existing EA datasets. Our findings offer insights into SEA’s orthographic representation in morphology, phonology, and lexicon, incorporating CODA* guidelines for normalization.
Citation
M. M. Eida and N. Habash, “Beyond Cairo: Sa’idi Egyptian Arabic Corpus Construction and Analysis,” 2025. Accessed: May 05, 2025. [Online]. Available: https://aclanthology.org/2025.nlp4dh-1.26/
Source
Proceedings of the 5th International Conference on Natural Language Processing for Digital Humanities
Conference
NAACL 2025
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Source
NAACL 2025
Publisher
Association for Computational Linguistics