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    <abstract>The availability of large annotated corpora remains a major challenge for the development of natural language processing systems for under-resourced languages such as Arabic. In this paper, we present two annotated corpora dedicated to Modern Standard Arabic. These corpora are open-source and freely available on the Hugging Face platform. The first corpus, annotated by theme and designed to provide a balanced representation of contemporary Arabic usage, comprises approximately 76 million words collected from diverse sources covering multiple domains and geographical regions. The second corpus, containing approximately one million words, is a sub-corpus extracted from the first. It was annotated with lemma tags using a semi-automatic approach that combines automatic annotation with the Alkhalil lemmatizer and MADAMIRA, followed by manual validation.</abstract>
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%0 Conference Proceedings
%T Alkhalil Corpus: An Open-Source Thematic and Lemmatized Corpus for Modern Standard Arabic
%A Belayachi, Samir
%A Mazroui, Azzeddine
%S Proceedings of the 2nd Workshop on NLP for Languages Using Arabic Script
%D 2026
%8 March
%I Association for Computational Linguistics
%C Rabat, Morocco
%F belayachi-mazroui-2026-alkhalil
%X The availability of large annotated corpora remains a major challenge for the development of natural language processing systems for under-resourced languages such as Arabic. In this paper, we present two annotated corpora dedicated to Modern Standard Arabic. These corpora are open-source and freely available on the Hugging Face platform. The first corpus, annotated by theme and designed to provide a balanced representation of contemporary Arabic usage, comprises approximately 76 million words collected from diverse sources covering multiple domains and geographical regions. The second corpus, containing approximately one million words, is a sub-corpus extracted from the first. It was annotated with lemma tags using a semi-automatic approach that combines automatic annotation with the Alkhalil lemmatizer and MADAMIRA, followed by manual validation.
%U https://aclanthology.org/2026.abjadnlp-1.27/
%P 192-197

Markdown (Informal)

[Alkhalil Corpus: An Open-Source Thematic and Lemmatized Corpus for Modern Standard Arabic](https://aclanthology.org/2026.abjadnlp-1.27/) (Belayachi & Mazroui, AbjadNLP 2026)

• Alkhalil Corpus: An Open-Source Thematic and Lemmatized Corpus for Modern Standard Arabic (Belayachi & Mazroui, AbjadNLP 2026)

ACL

• Samir Belayachi and Azzeddine Mazroui. 2026. Alkhalil Corpus: An Open-Source Thematic and Lemmatized Corpus for Modern Standard Arabic. In Proceedings of the 2nd Workshop on NLP for Languages Using Arabic Script, pages 192–197, Rabat, Morocco. Association for Computational Linguistics.