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Randah Alharbi

Randah Alharbi has 3 papers in our library, in 2018–2022, most of them on Semitic languages, Part-of-speech tagging; often with Ahmed Abdelali, Hamdy Mubarak, Kareem Darwish.

3 papers in our library · 2018–2022

OpenAlex · h-index 3 · 4 works · 53 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 33 times in our library · ⭐ Paper Stars ranking: #8207

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 EdinburghEdinburgh · United Kingdom2018 · 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 · 3 worksArts and Humanities · 3 worksComputer Science · 3 worksLanguage and Linguistics · 3 works

🧭 Topics 2Research subjects and languages the work is about.Semitic languages · 3 worksPart-of-speech tagging · 2 works

 Works by year

2020s

20221 paper

2010s

20182 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Multi-Dialect Arabic POS Tagging: A CRF Approach (2018 · 57 citations)
    The paper addresses the lack of part-of-speech resources for dialectal Arabic on social media. The authors labeled 350 tweets apiece from four major dialects, namely Gulf, Egyptian, Maghrebi and Levantine. They used an extended Farasa tagset with extra tags for dialect particles and tweet-specific tokens. Annotation…
  2. Part-of-Speech Tagging for Arabic Gulf Dialect Using Bi-LSTM (2018 · 26 citations)
    Standard Arabic taggers break down on dialectal social-media text, and Gulf Arabic had no dedicated tagger at all, although it is widely used online.
  3. Arabic Keyphrase Extraction: Enhancing Deep Learning Models with Pre-trained Contextual Embedding and External Features (2022 · 3 citations)
    The paper addresses automatic keyphrase extraction for Arabic, an area that lags behind English in adopting modern neural methods.

 Co-authors here

8 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 33 times (of the 149,439 papers whose bibliographies we read); 19 citing papers with a page here →.

Updated

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