Papers with machine-learning experiments
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. |