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Mustafa Jarrar

21 papers hereh-index 12310 citations28 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author5
  • middle author13
  • last author2

Across the 20 of 21 papers where every author was matched, so the position is known.

fields
  • cs.CL21
same name
  • Mustafa Jarrar — 14 papers, h 29
  • Mustafa Jarrar — 5 papers, h 3
  • Mustafa Jarrar — 1 paper, h 3

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20232026
most citedCasablanca: Data and Models for Multidialectal Arabic Speech Recognition

1 citations · 5 across the 21 of their papers we have counts for

collaborators
Showing 2025 · cs.CLShow all

4 papers · 2 filters

cs.CL2025

QuranMorph: Morphologically Annotated Quranic Corpus

Diyam Akra, Tymaa Hammouda, Mustafa Jarrar

We present the QuranMorph corpus, a morphologically annotated corpus for the Quran (77,429 tokens). Each token in the QuranMorph was manually lemmatized and tagged with its part-of…

cs.CL2025

Konooz: Multi-domain Multi-dialect Corpus for Named Entity Recognition

Nagham Hamad, Mohammed Khalilia, Mustafa Jarrar

We introduce Konooz, a novel multi-dimensional corpus covering 16 Arabic dialects across 10 domains, resulting in 160 distinct corpora. The corpus comprises about 777k tokens, care…

cs.CL2025

Pearl: A Multimodal Culturally-Aware Arabic Instruction Dataset

Fakhraddin Alwajih, Samar M. Magdy, Abdellah El Mekki +34

Mainstream large vision-language models (LVLMs) inherently encode cultural biases, highlighting the need for diverse multimodal datasets. To address this gap, we introduce PEARL, a…

cs.CL2025

Palm: A Culturally Inclusive and Linguistically Diverse Dataset for Arabic LLMs

Fakhraddin Alwajih, Abdellah El Mekki, Samar Mohamed Magdy +41

As large language models (LLMs) become increasingly integrated into daily life, ensuring their cultural sensitivity and inclusivity is paramount. We introduce our dataset, a year-l…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.