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Salma Jamoussi

Salma Jamoussi has 2 papers in our library, in 2010–2015, most of them on Machine translation, Semitic languages; often with Abdelmajid Ben Hamadou, Kamel Smaili, Karima Meftouh.

2 papers in our library · 2010–2015

OpenAlex · ORCID · h-index 16 · 121 works · 735 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 64 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #6336

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

🎓University of SfaxSfax · Tunisia2012–2026 · 60 papersEmploymentcurrent🔬Digital Research Centre of SfaxSfax · Tunisia2017–2022 · 12 papers🔬Laboratoire Lorrain de Recherche en Informatique et ses ApplicationsNancy · France2003–2015 · 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 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 works

🧭 Topics 2Research subjects and languages the work is about.Machine translation · 2 worksSemitic languages · 2 works

 Works by year

2010s

20151 paper20101 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Machine Translation Experiments on PADIC: A Parallel Arabic DIalect Corpus (2015 · 132 citations)
    Arabic dialects are mostly spoken, lack standard spelling, and have few written resources. This makes data-driven translation between them and Modern Standard Arabic (MSA) difficult. The authors address this gap with PADIC, a multi-dialect parallel corpus created manually rather than harvested from the web, because…
  2. Arabic morpho-syntactic feature disambiguation in a translation context (2010 · 6 citations)
    Arabic script usually leaves out short vowels and lets clitics and affixes attach to words. One written form can therefore be a verb, a noun, a particle, or a conjunction fused with a verb. A rule-based analyzer like MORPH2 returns several candidate analyses per word, but tasks such as machine translation need one.

All works

4 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. Machine Translation Experiments on PADIC: A Parallel Arabic DIalect CorpusPacific Asia Conference on Language, Information and Computation (PACLIC)Karima Meftouh, Salima Harrat, Salma Jamoussi, et al.2015 · 132 citations
  2. Arabic morpho-syntactic feature disambiguation in a translation contextProceedings of the 4th Workshop on Syntax and Structure in Statistical TranslationInes Turki Khemakhem, Salma Jamoussi, Abdelmajid Ben Hamadou2010 · 6 citations
  3. Integrating morpho-syntactic features in English-Arabic statistical machine translation ↗Proceedings of the Second Workshop on Hybrid Approaches to Translation · no summary yetInes Turki Khemakhem, Salma Jamoussi, Abdelmajid Ben Hamadou2013 · 5 citations
  4. Vers la compréhension automatique de la parole : extraction de concepts par réseaux bayésiens ↗Actes de la 10ème conférence sur le Traitement Automatique des Langues Naturelles. Articles longs · no summary yetSalma Jamoussi, Kamel Smaïli, Jean-Paul Haton2003 · 2 citations

 Co-authors here

5 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 64 times (of the 149,439 papers whose bibliographies we read); 43 citing papers with a page here →.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/salma-jamoussi/