activity
20222025
most citedCurras + Baladi: Towards a Levantine Corpus

7 citations · 14 across the 7 of their papers we have counts for

collaborators

7 papers

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.CL2024

SinaTools: Open Source Toolkit for Arabic Natural Language Processing

Tymaa Hammouda, Mustafa Jarrar, Mohammed Khalilia

We introduce SinaTools, an open-source Python package for Arabic natural language processing and understanding. SinaTools is a unified package allowing people to integrate it into…

cs.CL2024★ 1 cited

Qabas: An Open-Source Arabic Lexicographic Database

Mustafa Jarrar, Tymaa Hammouda

We present Qabas, a novel open-source Arabic lexicon designed for NLP applications. The novelty of Qabas lies in its synthesis of 110 lexicons. Specifically, Qabas lexical entries…

cs.CL2023

SALMA: Arabic Sense-Annotated Corpus and WSD Benchmarks

Mustafa Jarrar, Sanad Malaysha, Tymaa Hammouda +1

SALMA, the first Arabic sense-annotated corpus, consists of ~34K tokens, which are all sense-annotated. The corpus is annotated using two different sense inventories simultaneously…

cs.CL2023★ 1 cited

Nabra: Syrian Arabic Dialects with Morphological Annotations

Amal Nayouf, Tymaa Hammouda, Mustafa Jarrar +2

This paper presents Nabra, a corpora of Syrian Arabic dialects with morphological annotations. A team of Syrian natives collected more than 6K sentences containing about 60K words…

cs.CL2022★ 5 cited

Lisan: Yemeni, Iraqi, Libyan, and Sudanese Arabic Dialect Copora with Morphological Annotations

Mustafa Jarrar, Fadi A Zaraket, Tymaa Hammouda +2

This article presents morphologically-annotated Yemeni, Sudanese, Iraqi, and Libyan Arabic dialects Lisan corpora. Lisan features around 1.2 million tokens. We collected the conten…

cs.CL2022★ 7 cited

Curras + Baladi: Towards a Levantine Corpus

Karim El Haff, Mustafa Jarrar, Tymaa Hammouda +1

The processing of the Arabic language is a complex field of research. This is due to many factors, including the complex and rich morphology of Arabic, its high degree of ambiguity…