Mustafa Jarrar · page 2
Papers
- Qabas: An Open-Source Arabic Lexicographic Database (2024 · 8 citations)
Arabic has many traditional dictionaries, but few lexical resources are built for NLP and openly licensed. - Lisan: Yemeni, Iraqi, Libyan, and Sudanese Arabic Dialect Copora with Morphological Annotations (2022 · 8 citations)
Arabic dialects are widely used online but have few annotated resources and no standard spelling, which makes them hard for NLP systems. - Konooz: Multi-domain Multi-dialect Corpus for Named Entity Recognition (2025 · 6 citations)
Arabic NER systems perform well on Modern Standard Arabic (MSA) news, but they are seldom tested on dialects or on other topics, because suitable labelled data hardly exists. - NAKBA NLP 2026: Shared Task on Arabic Handwritten Manuscript Understanding (Palestine Memory–Omar Al-Saleh Memoir) (2026 · 5 citations)
Historical Arabic handwriting remains hard to convert into searchable text. The causes include variable letterforms, damaged pages and Arabic-specific issues such as dropped diacritics. Open benchmarks for this problem are also scarce. The NAKBA NLP 2026 shared task addresses the gap with one large single-author… - SinaTools: Open Source Toolkit for Arabic Natural Language Processing (2024 · 5 citations)
Arabic NLP lacks freely available, easy-to-use tools for semantic and understanding tasks. SinaLab at Birzeit University addresses this with SinaTools, an open-source Python package. It bundles NER (flat, nested and fine-grained), WSD, sentence-level semantic relatedness, synonym extraction and evaluation… - NLU-STR at SemEval-2024 Task 1: Generative-based Augmentation and Encoder-based Scoring for Semantic Textual Relatedness (2024 · 3 citations)
The paper describes a SemEval-2024 Task 1 (SemRel-2024) system for semantic textual relatedness (STR) in Arabic. - AlexandriaX 2026: The First Shared Task on Dialectal Arabic Machine Translation (2026 · 2 citations)
AlexandriaX 2026 is a shared task on machine translation for Arabic dialects. Most Arabic tools were built for MSA. Dialect output can keep the meaning and still sound wrong, for example through incorrect gender agreement, the wrong level of formality, or MSA slipping in. Aggregate metrics also say little about why… - Active Learning for Multidialectal Arabic POS Tagging (2025 · 2 citations)
Building POS taggers for Arabic dialects is hard. The morphology is rich, the dialects vary widely, and manually annotated dialectal corpora take teams of annotators years to produce. This work asks whether active learning can cut that annotation burden substantially. The authors work with MSA and four dialects… - Relations: Arabic Relation Extraction Corpus and Modeling (2025 · 2 citations)
Arabic relation extraction (RE) has lacked large, well-annotated, openly available data. Existing multilingual sets cover Arabic only thinly, use flat entities, or come from noisy distant supervision. The authors build Wojood Relations by adding manual relation labels to the nested-entity Wojood NER corpus. The… - AdabNER: Arabic Digital Archive Books with Nested Entity Recognition (2026)
Arabic NER research has relied mostly on news, Wikipedia, and social media. Literary and non-fiction books, with their historical names, archaic units, and layered entity structures, have had no dedicated resource. The authors fill this gap with AdabNER, a nested NER corpus built from Modern Standard Arabic books in… - AraGenre 2026: A Hierarchical Definition-Guided Arabic Genre Classification Shared Task (2026)
Arabic genre identification is hampered by scarce labelled data and by wide variation across Modern Standard Arabic, Classical Arabic, dialects, diacritisation and spelling habits. - AraREQ: A Dataset and End-to-End System for Conflict Detection and Resolution in Software Requirements (2026)
Requirement documents for software often contain pairs of statements that contradict each other. Tools for catching such clashes exist mostly for English, and Arabic has had no annotated data for the task. The authors build AraREQ by Arabizing four English requirement-pair collections (PURE, WorldVista, OPENCOSS… - ImageEval 2026: Culturally Grounded Arabic Multimodal Evaluation (2026)
ImageEval 2026 is a shared task that tests whether multimodal models handle Arab cultural content, not just generic scenes.
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