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Abderrahmane Issam

Abderrahmane Issam has 3 papers in our library, in 2022–2026, most of them on Semitic languages, Language models & pretraining, Multilingual & cross-lingual NLP; often with Abdelrahim Qaddoumi, Ahmed ElBakry, Bashar Alhafni.

3 papers in our library · 2022–2026

OpenAlex · ORCID · h-index 1 · 19 works · 3 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 3 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #10639

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

🎓Maastricht UniversityMaastricht · Netherlands2022–2026 · 16 papersEmployment since 2023 · PhD Candidate, DACScurrent

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 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 3 worksArts and Humanities · 3 worksComputer Science · 3 worksLanguage and Linguistics · 3 works

🧭 Topics 3Research subjects and languages the work is about.Semitic languages · 3 worksLanguage models & pretraining · 2 worksMultilingual & cross-lingual NLP · 1 work

 Works by year

2020s

20262 papers20221 paper

 Papers

The most cited first (OpenAlex and our library).

  1. The Shared Task on Gender Rewriting (2022 · 3 citations)
    This paper reports on a shared task, held at WANLP 2022, on gender rewriting for Modern Standard Arabic. The task takes a sentence and produces versions that fit each combination of speaker gender and listener gender. In Arabic, words that refer to the first or second person carry grammatical gender, so a system that…
  2. From FusHa to Folk: Exploring Cross-Lingual Transfer in Arabic Language Models (2026 · 1 citation)
    Arabic language models are mostly pretrained on Modern Standard Arabic (MSA, FusHa) and are expected to work on the spoken dialects (DA), whose distance from MSA varies widely.
  3. Maastricht University at AMIYA: Adapting LLMs for Dialectal Arabic using Fine-tuning and MBR Decoding (2026)
    Large language models still handle regional Arabic varieties poorly compared with Modern Standard Arabic. For the AMIYA shared task (closed data track), the authors adapted the JAIS-2 model to Syrian, Moroccan and Saudi Arabic. They trained two kinds of LoRA adapter for each dialect. One learns from raw monolingual…

All works

5 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

  1. The Shared Task on Gender RewritingArabic Natural Language Processing Workshop (WANLP)Bashar Alhafni, Nizar Habash, Houda Bouamor, et al.2022 · 3 citations
  2. From FusHa to Folk: Exploring Cross-Lingual Transfer in Arabic Language ModelsarXiv:2602.09826Abdulmuizz Khalak, Abderrahmane Issam, Gerasimos Spanakis2026 · 1 citation
  3. Maastricht University at AMIYA: Adapting LLMs for Dialectal Arabic using Fine-tuning and MBR DecodingWorkshop on NLP for Similar Languages, Varieties and Dialects (VarDial)Abdulhai Alali, Abderrahmane Issam2026
  4. A Representation Level Analysis of NMT Model Robustness to Grammatical Errors ↗Findings of the Association for Computational Linguistics: ACL 2025 · no summary yetAbderrahmane Issam et al.2025
  5. Low-Resource Machine Translation for Moroccan Arabic ↗Proceedings of the First Workshop on Advancing NLP for Low-Resource Languages · no summary yetAlexei Rosca, Abderrahmane Issam, Gerasimos Spanakis2025

 Co-authors here

11 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 3 times (of the 149,439 papers whose bibliographies we read); 2 citing papers with a page here →.

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