🧑‍🔬 Rahma Boujelbane

🏛️ Affiliations

🎓University of SfaxSfax · Tunisia2013–2025 · 17 papers🎓Faculty of Economics and Management of SfaxSfax · Tunisia2023–2025 · 4 papers🔬Laboratoire d’Informatique Fondamentale de MarseilleMarseille · France2013–2014 · 3 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

🧭 Fields, topics and concepts

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

📅 Works by year

2020s

2010s

📄 Papers

The most cited first (OpenAlex and our library).

1. A Conventional Orthography for Tunisian Arabic (2014 · 91 citations)
   Tunisian Arabic (TUN) is the everyday spoken variety of Tunisia. It is increasingly written online, but it has no standard spelling, few texts or dictionaries, and it blends into Modern Standard Arabic (MSA) through many mixed forms. Inconsistent spelling makes it hard to build and share NLP resources. The authors…
2. The Effects of Factorizing Root and Pattern Mapping in Bidirectional Tunisian - Standard Arabic Machine Translation (2013 · 22 citations)
   Arabic dialects such as Tunisian (TUN) have almost no NLP resources, while Modern Standard Arabic (MSA) has many.
3. Benchmarking transfer learning approaches for sentiment analysis of Arabic dialect (2022 · 9 citations)
   The paper describes the authors' system for the country-level sentiment subtask of the third NADI shared task.
4. ANLP-RG at NADI 2023 shared task: Machine Translation of Arabic Dialects: A Comparative Study of Transformer Models (2023 · 6 citations)
   This paper is the ANLP-RG team's entry to NADI 2023 Subtask 2. The task is sentence-level translation from four Arabic dialects (Egyptian, Emirati, Jordanian, Palestinian) into Modern Standard Arabic (MSA), using only the MADAR parallel corpus for training. MADAR has no Emirati–MSA section, so the team had to work…
5. Parallel resources for Tunisian Arabic Dialect Translation (2020 · 5 citations)
   The paper addresses the lack of parallel data for translating Tunisian Arabic dialect (TD), as written informally on social media, into Modern Standard Arabic (MSA).
6. De l'arabe standard vers l'arabe dialectal : projection de corpus et ressources linguistiques en vue du traitement automatique de l'oral dans les médias tunisiens [From Modern Standard Arabic to Tunisian dialect: corpus projection and linguistic resources towards the automatic processing of speech in the Tunisian media] (2014 · 1 citation)
   The paper tackles language modelling for speech recognition of Tunisian TV and radio. Speakers there constantly switch between the local Tunisian dialect (TD) and Modern Standard Arabic (MSA). TD has almost no NLP resources, while MSA tools break down on dialect input. The authors treat TD as a variant of MSA and…

All works

8 works of theirs in our library, the most cited first; 6 with a page here, the others link their original until we summarise them.

1. A Conventional Orthography for Tunisian ArabicLanguage Resources and Evaluation Conference (LREC)Inès Zribi, Rahma Boujelbane, Abir Masmoudi, et al.2014 · 91 citations
2. The Effects of Factorizing Root and Pattern Mapping in Bidirectional Tunisian - Standard Arabic Machine TranslationMachine Translation Summit (MT Summit)Ahmed Hamdi, Rahma Boujelbane, Nizar Habash, et al.2013 · 22 citations
3. Benchmarking transfer learning approaches for sentiment analysis of Arabic dialectArabic Natural Language Processing Workshop (WANLP)Emna Fsih, Sameh Kchaou, Rahma Boujelbane, et al.2022 · 9 citations
4. ANLP-RG at NADI 2023 shared task: Machine Translation of Arabic Dialects: A Comparative Study of Transformer ModelsArabic Natural Language Processing Conference (ArabicNLP)Wiem Derouich, Sameh Kchaou, Rahma Boujelbane2023 · 6 citations
5. Parallel resources for Tunisian Arabic Dialect TranslationArabic Natural Language Processing Workshop (WANLP)Saméh Kchaou, Rahma Boujelbane, Lamia Hadrich-Belguith2020 · 5 citations
6. De l'arabe standard vers l'arabe dialectal : projection de corpus et ressources linguistiques en vue du traitement automatique de l'oral dans les médias tunisiens [From Modern Standard Arabic to Tunisian dialect: corpus projection and linguistic resources towards the automatic processing of speech in the Tunisian media]Traitement Automatique des LanguesRahma Boujelbane, Mariem Ellouze, Frédéric Béchet, et al.2014 · 1 citation
7. Generation of tunisian dialect corpora for adapting language models (Génération des corpus en dialecte tunisien pour la modélisation de langage d'un système de reconnaissance) [in French] ↗Proceedings of RECITAL 2013 · no summary yetBoujelbane, Rahma2013
8. Translating verbs between MSA and arabic dialects through deep morphological analysis (Un système de traduction de verbes entre arabe standard et arabe dialectal par analyse morphologique profonde) [in French] ↗Proceedings of TALN 2013 (Volume 1: Long Papers) · no summary yetAhmed Hamdi et al.2013

🤝 Co-authors here

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

• Lamia Hadrich Belguith ×4
• Sameh Kchaou ×3
• Mariem Ellouze ×2
• Nizar Habash ×2
• Abir Masmoudi
• Ahmed Hamdi
• Alexis Nasr
• Frédéric Béchet

Venues

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

• Arabic Natural Language Processing Workshop (WANLP) ×2: WANLP 2022, WANLP 2020
• Arabic Natural Language Processing Conference (ArabicNLP): ArabicNLP 2023
• Language Resources and Evaluation Conference (LREC): LREC 2014
• Machine Translation Summit (MT Summit): Machine Translation Summit (MT Summit) 2013
• Traitement Automatique des Langues: Traitement Automatique des Langues 2014
• Proceedings of RECITAL 2013
• Proceedings of TALN 2013 (Volume 1: Long Papers)

🔗 Cited by

Papers of our library cite their works 49 times (of the 149,439 papers whose bibliographies we read); 32 citing papers with a page here →.

Updated 31 October 2026

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