141 citations · 263 across the 19 of their papers we have counts for
22 papers
ArabDiscrim: A Decade-Long Arabic Facebook Corpus on Racism and Discrimination
Wajdi Zaghouani, Shimaa Amer Ibrahim, Mabrouka Bessghaier +1
We present ArabDiscrim, a decade-long lexical resource and corpus of 293K public Arabic Facebook posts (2014--2024) discussing racism and discrimination. Unlike existing Twitter-ce…
JobArabi: An Arabic Corpus and Analysis of Job Announcements from Social Media
Wajdi Zaghouani, Shimaa Amer Ibrahim, Mabrouka Bessghaier +1
This paper introduces JobArabi, a large-scale corpus of Arabic job announcements collected from social media between January 2024 and October 2025. The dataset contains 20,528 publ…
LAILA: A Large Trait-Based Dataset for Arabic Automated Essay Scoring
May Bashendy, Walid Massoud, Sohaila Eltanbouly +5
Automated Essay Scoring (AES) has gained increasing attention in recent years, yet research on Arabic AES remains limited due to the lack of publicly available datasets. To address…
Global PIQA: Evaluating Commonsense Reasoning Across 100+ Languages and Cultures
Tyler A. Chang, Catherine Arnett, Abdelrahman Sadallah +377
To date, there exist almost no culturally-specific evaluation benchmarks for large language models (LLMs) that cover a large number of languages and cultures. In this paper, we pre…
Towards Global AI Inclusivity: A Large-Scale Multilingual Terminology Dataset (GIST)
Jiarui Liu, Iman Ouzzani, Wenkai Li +5
The field of machine translation has achieved significant advancements, yet domain-specific terminology translation, particularly in AI, remains challenging. We introduce GIST, a l…
The FIGNEWS Shared Task on News Media Narratives
Wajdi Zaghouani, Mustafa Jarrar, Nizar Habash +5
We present an overview of the FIGNEWS shared task, organized as part of the ArabicNLP 2024 conference co-located with ACL 2024. The shared task addresses bias and propaganda annota…
AraFinNLP 2024: The First Arabic Financial NLP Shared Task
Sanad Malaysha, Mo El-Haj, Saad Ezzini +5
The expanding financial markets of the Arab world require sophisticated Arabic NLP tools. To address this need within the banking domain, the Arabic Financial NLP (AraFinNLP) share…
NADI 2024: The Fifth Nuanced Arabic Dialect Identification Shared Task
Muhammad Abdul-Mageed, Amr Keleg, AbdelRahim Elmadany +5
We describe the findings of the fifth Nuanced Arabic Dialect Identification Shared Task (NADI 2024). NADI's objective is to help advance SoTA Arabic NLP by providing guidance, data…
Exploiting Dialect Identification in Automatic Dialectal Text Normalization
Bashar Alhafni, Sarah Al-Towaity, Ziyad Fawzy +4
Dialectal Arabic is the primary spoken language used by native Arabic speakers in daily communication. The rise of social media platforms has notably expanded its use as a written…
Chinese Offensive Language Detection:Current Status and Future Directions
Yunze Xiao, Houda Bouamor, Wajdi Zaghouani
Despite the considerable efforts being made to monitor and regulate user-generated content on social media platforms, the pervasiveness of offensive language, such as hate speech o…
Cross-Lingual Transfer from Related Languages: Treating Low-Resource Maltese as Multilingual Code-Switching
Kurt Micallef, Nizar Habash, Claudia Borg +2
Although multilingual language models exhibit impressive cross-lingual transfer capabilities on unseen languages, the performance on downstream tasks is impacted when there is a sc…
NADI 2023: The Fourth Nuanced Arabic Dialect Identification Shared Task
Muhammad Abdul-Mageed, AbdelRahim Elmadany, Chiyu Zhang +3
We describe the findings of the fourth Nuanced Arabic Dialect Identification Shared Task (NADI 2023). The objective of NADI is to help advance state-of-the-art Arabic NLP by creati…
The Shared Task on Gender Rewriting
Bashar Alhafni, Nizar Habash, Houda Bouamor +11
In this paper, we present the results and findings of the Shared Task on Gender Rewriting, which was organized as part of the Seventh Arabic Natural Language Processing Workshop. T…
NADI 2022: The Third Nuanced Arabic Dialect Identification Shared Task
Muhammad Abdul-Mageed, Chiyu Zhang, AbdelRahim Elmadany +2
We describe findings of the third Nuanced Arabic Dialect Identification Shared Task (NADI 2022). NADI aims at advancing state of the art Arabic NLP, including on Arabic dialects. I…
User-Centric Gender Rewriting
Bashar Alhafni, Nizar Habash, Houda Bouamor
In this paper, we define the task of gender rewriting in contexts involving two users (I and/or You) - first and second grammatical persons with independent grammatical gender pref…
The Arabic Parallel Gender Corpus 2.0: Extensions and Analyses
Bashar Alhafni, Nizar Habash, Houda Bouamor
Gender bias in natural language processing (NLP) applications, particularly machine translation, has been receiving increasing attention. Much of the research on this issue has foc…
NADI 2021: The Second Nuanced Arabic Dialect Identification Shared Task
Muhammad Abdul-Mageed, Chiyu Zhang, AbdelRahim Elmadany +2
We present the findings and results of the Second Nuanced Arabic Dialect Identification Shared Task (NADI 2021). This Shared Task includes four subtasks: country-level Modern Stand…
The Interplay of Variant, Size, and Task Type in Arabic Pre-trained Language Models
Go Inoue, Bashar Alhafni, Nurpeiis Baimukan +2
In this paper, we explore the effects of language variants, data sizes, and fine-tuning task types in Arabic pre-trained language models. To do so, we build three pre-trained langu…
NADI 2020: The First Nuanced Arabic Dialect Identification Shared Task
Muhammad Abdul-Mageed, Chiyu Zhang, Houda Bouamor +1
We present the results and findings of the First Nuanced Arabic Dialect Identification Shared Task (NADI). This Shared Task includes two subtasks: country-level dialect identificat…
A Panoramic Survey of Natural Language Processing in the Arab World
Kareem Darwish, Nizar Habash, Mourad Abbas +9
The term natural language refers to any system of symbolic communication (spoken, signed or written) without intentional human planning and design. This distinguishes natural langu…
MADARi: A Web Interface for Joint Arabic Morphological Annotation and Spelling Correction
Ossama Obeid, Salam Khalifa, Nizar Habash +3
In this paper, we introduce MADARi, a joint morphological annotation and spelling correction system for texts in Standard and Dialectal Arabic. The MADARi framework provides intuit…
Low Resourced Machine Translation via Morpho-syntactic Modeling: The Case of Dialectal Arabic
Alexander Erdmann, Nizar Habash, Dima Taji +1
We present the second ever evaluated Arabic dialect-to-dialect machine translation effort, and the first to leverage external resources beyond a small parallel corpus. The subject…