Papers by Diyam Akra
Active Learning for Multidialectal Arabic POS Tagging (2025.findings-emnlp)
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| Challenge: | Multidialectal Arabic POS tagging is challenging due to the morphological richness and high variability among dialects. |
| Approach: | They propose an active learning approach for multidialectal Arabic POS tagging . they annotate approximately 15,000 tokens, reducing the annotation requirement by about 2,000 tokens . |
| Outcome: | The proposed approach achieves 97.6% accuracy on the Emirati corpus. |