Papers by Anis Charfi
Arap-Tweet: A Large Multi-Dialect Twitter Corpus for Gender, Age and Language Variety Identification (L18-1)
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| Challenge: | Existing corpus of Arabic textual data is limited to English or other European languages. |
| Approach: | They present a large-scale and multi-dialectal corpus of Tweets from 11 regions and 16 countries in the arab world representing the major Arabic dialectal varieties. |
| Outcome: | The provided corpus will enrich the limited set of available language resources for Arabic and be invaluable enabler for developing author profiling tools and NLP tools for Arabic. |
MARASTA: A Multi-dialectal Arabic Cross-domain Stance Corpus (2024.lrec-main)
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Anis Charfi, Mabrouka Ben-Sghaier, Andria Samy Raouf Atalla, Raghda Akasheh, Sara Al-Emadi, Wajdi Zaghouani
| Challenge: | Approximately half of the sentences are in Modern Standard Arabic (MSA) for each region, and the other half is in the region’s respective dialect. |
| Approach: | They propose a cross-domain and multi-dialectal stance corpus for Arabic that includes four regions in the Arab World and covers the main Arabic dialect groups. |
| Outcome: | The proposed corpus outperforms the state-of-the-art dataset in stance detection and dialect and dialect classes. |