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Djelloul Ziadi

Djelloul Ziadi has 2 papers in our library, in 2015–2017, most of them on Semitic languages, Speech & spoken language, Morphology; often with Hadda Cherroun, Attia Nehar, Soumia Bougrine.

2 papers in our library · 2015–2017

OpenAlex · ORCID · h-index 14 · 85 works · 653 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 4 times in our library · ⭐ Paper Stars ranking: #9614

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

🎓Université de Rouen NormandieRouen · France1996–2026 · 55 paperscurrent🔬Groupe de recherche Rouennais en Informatique FondamentaleRouen2014–2026 · 9 paperscurrent🔬Laboratoire d'Informatique, du Traitement de l'Information et des SystèmesSaint-Étienne-du-Rouvray · France2007–2018 · 25 papers🎓Normandie UniversitéCaen · France2013–2017 · 10 papers🎓University of Sciences and Technology Houari BoumedieneAlgiers · Algeria2020–2021 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 more institutions on single bylines are not listed.

 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 · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksSignal Processing · 1 work

🧭 Topics 3Research subjects and languages the work is about.Semitic languages · 2 worksSpeech & spoken language · 1 workMorphology · 1 work

 Works by year

2010s

20171 paper20151 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Hierarchical Classification for Spoken Arabic Dialect Identification using Prosody: Case of Algerian Dialects (2017 · 10 citations)
    The paper addresses automatic identification of spoken Arabic dialects that come from a single country, here Algeria.
  2. Rational Kernels for Arabic Stemming and Text Classification (2015 · 3 citations)
    The paper addresses two linked tasks: reducing Arabic words to their roots, and sorting Arabic documents into topic categories.

 Co-authors here

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

 Cited by

Papers of our library cite their works 4 times (of the 149,439 papers whose bibliographies we read); 3 citing papers with a page here →.

Updated

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