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Salima Harrat

Salima Harrat has 2 papers in our library, in 2015–2019, most of them on Semitic languages, Machine translation; often with Kamel Smaili, Karima Meftouh, Mourad Abbas.

2 papers in our library · 2015–2019

OpenAlex · ORCID · h-index 9 · 18 works · 384 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 68 times in our library · ⭐ Paper Stars ranking: #7167

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 LorraineNancy · France2022 · 1 papercurrent🎓École Normale Supérieure de Bouzareah AlgerAlgiers · Algeria2014–2019 · 7 papers🎓École Nationale Supérieure d'InformatiqueAlgiers · Algeria2013–2017 · 5 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.

📚 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.Semitic languages · 2 worksMachine translation · 1 work

 Works by year

2010s

20191 paper20151 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. The SMarT Classifier for Arabic Fine-Grained Dialect Identification (2019 · 14 citations)
    The paper describes the SMarT group's entry to subtask 1 of the MADAR shared task. The task was to identify, at the sentence level, which of 25 Arab city dialects or Modern Standard Arabic a sentence is written in. The authors trained only on the official Corpus-26 and Corpus-6 data. Two neural options, an LSTM and a…

 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 68 times (of the 149,439 papers whose bibliographies we read); 51 citing papers with a page here →.

Updated

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