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Salwa Saad Alahmari

Salwa Saad Alahmari has 2 papers in our library, in 2024–2025, most of them on Semitic languages, Language models & pretraining, Sentiment & emotion; often with Eric Atwell, Hadeel Saadany, Mohammad Alsalka.

2 papers in our library · 2024–2025

OpenAlex · ORCID · h-index 2 · 8 works · 8 citations OpenAlex, 2026-10-14

📄 2 works in our library · ⭐ Paper Stars ranking: #12038

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 LeedsLeeds · United Kingdom2024–2026 · 5 paperscurrent🎓University of Hafr Al-BatinRiyadh · Saudi Arabia2024–2025 · 2 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 3Research subjects and languages the work is about.Semitic languages · 2 worksLanguage models & pretraining · 1 workSentiment & emotion · 1 work

 Works by year

2020s

20251 paper20241 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Sirius_Translators at OSACT6 2024 Shared Task: Fin-tuning Ara-T5 Models for Translating Arabic Dialectal Text to Modern Standard Arabic (2024 · 4 citations)
    The paper addresses translating sentences in Arabic dialects into Modern Standard Arabic (MSA). The task comes from Shared Task 2 of OSACT6 (LREC-COLING 2024) and covers five dialect groups: Gulf, Egyptian, Levantine, Iraqi and Maghrebi. Most earlier work built one system per dialect. The Sirius_Translators team…
  2. Arabic-Centric Large Language Models for Dialectal Arabic Sentiment Analysis Task (2025)
    Sentiment classification for Arabic dialects is difficult. Spelling is not standardized, vocabulary shifts from region to region, speakers switch between dialect and MSA, and labelled data is scarce. For the AHaSIS shared task on hotel reviews in Saudi and Moroccan (Darija) dialects, the authors did three things:

 Co-authors here

3 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.

Updated

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