5 papers · 1 filter
EDRAC: Benchmarking Arabic Dialect Reading Comprehension
Noor Abo Mokh, Kirill Chirkunov, Teresa Lynn +15
Dialectal Arabic (DA) remains under-resourced compared to Modern Standard Arabic (MSA), particularly for machine reading comprehension (MRC) and question answering (QA). Existing A…
Linear Semantic Segmentation for Low-Resource Spoken Dialects
Kirill Chirkunov, Younes Samih, Abed Alhakim Freihat +1
Semantic segmentation is a core component of discourse analysis, yet existing models are primarily developed and evaluated on high-resource written text, limiting their effectivene…
DialectalArabicMMLU: Benchmarking Dialectal Capabilities in Arabic and Multilingual Language Models
Malik H. Altakrori, Nizar Habash, Abed Alhakim Freihat +7
We present DialectalArabicMMLU, a new benchmark for evaluating the performance of large language models (LLMs) across Arabic dialects. While recently developed Arabic and multiling…
ARWI: Arabic Write and Improve
Kirill Chirkunov, Bashar Alhafni, Chatrine Qwaider +2
Although Arabic is spoken by over 400 million people, advanced Arabic writing assistance tools remain limited. To address this gap, we present ARWI, a new writing assistant that he…
Enhancing Arabic Automated Essay Scoring with Synthetic Data and Error Injection
Chatrine Qwaider, Bashar Alhafni, Kirill Chirkunov +2
Automated Essay Scoring (AES) plays a crucial role in assessing language learners' writing quality, reducing grading workload, and providing real-time feedback. The lack of annotat…