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Driss Namly

Driss Namly has 3 papers in our library, in 2021–2026, most of them on Semitic languages, Morphology; often with Karim Bouzoubaa, Rachida Tajmout, Hakima Khamar.

3 papers in our library · 2021–2026

OpenAlex · ORCID · h-index 5 · 26 works · 109 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 1 time in our library · ⭐ Paper Stars ranking: #10104

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓Mohammed V UniversityRabat · Morocco2016–2026 · 12 paperscurrent🎓Ecole Mohammadia d'IngénieursRabat · Morocco2016–2025 · 9 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 3 worksComputer Science · 3 worksArtificial Intelligence · 3 worksLanguage and Linguistics · 3 worksLiterature and Literary Theory · 1 work

🧭 Topics 2Research subjects and languages the work is about.Semitic languages · 3 worksMorphology · 2 works

💡 Concepts 1Key ideas and methods explained on our concept pages.Stemming · 1 work

 Works by year

2020s

20262 papers20211 paper

 Papers

The most cited first (OpenAlex and our library).

  1. A description and demonstration of SAFAR framework (2021 · 7 citations)
    Arabic NLP has many separate tools and resources, but they are rarely available in one consistent, extensible environment.
  2. Murabaa: A comprehensive Resource Platform for Arabic Morphology (2026 · 1 citation)
    Arabic NLP lacks reliable, openly available morphological resources. Existing lists are scattered, often undiacritized, tied to particular corpora, or hard-coded inside tools such as stemmers and analyzers. The authors address this with Murabaa, a platform that rebuilds Arabic word structure from its smallest units…
  3. QAMAR: A New Fully Verified and Accurate Quranic Arabic Morphological Analysis Resource. (2026)
    Quranic text is written in Classical Arabic using the Uthmani script. Existing morphological corpora of the Qur'an share several recurring flaws: words with more than one conflicting analysis, little or no human checking, stems and lemmas that do not match each other, script-specific marks leaking into the…

 Co-authors here

4 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 1 time (of the 149,439 papers whose bibliographies we read); 1 citing paper with a page here →.

Updated

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