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Mohsen Rashwan

Mohsen Rashwan has 4 papers in our library, in 2006–2014, most of them on Semitic languages, Morphology, Lexical semantics & word embeddings; often with Hazem Raafat, Ahmad Al Sallab, Ahmed Rafea.

4 papers in our library · 2006–2014

OpenAlex · ORCID · Wikidata · h-index 21 · 111 works · 1,206 citations OpenAlex, 2026-10-14

📄 4 works in our library · 🔗 Cited 13 times in our library · ⭐ Paper Stars ranking: #7433

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

🎓Cairo UniversityGiza · Egypt1988–2026 · 81 paperscurrent🎓Kuwait UniversityKuwait City · Kuwait2014–2025 · 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 6The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 4 worksComputer Science · 4 worksArtificial Intelligence · 4 worksLanguage and Linguistics · 4 worksInformation Systems · 1 workComputer Vision and Pattern Recognition · 1 work

🧭 Topics 4Research subjects and languages the work is about.Semitic languages · 4 worksMorphology · 2 worksInformation retrieval & search · 1 workLexical semantics & word embeddings · 1 work

 Works by year

2010s

20142 papers

2000s

20081 paper20061 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Building Annotated Written and Spoken Arabic LRs in NEMLAR Project (2006 · 43 citations)
    Arabic lacked basic language resources, and this held back both research and industry. The EC-funded NEMLAR network brought European and Middle Eastern partners together to fix this. They surveyed existing resources and consulted industry. Based on these findings, they specified an Arabic BLARK (Basic Language…
  2. Semantic Query Expansion for Arabic Information Retrieval (2014 · 36 citations)
    The paper addresses a weakness of plain keyword search for Arabic. It misses documents that express the query's meaning with different words, inflected forms, or more specific concepts, and ambiguous words make this worse. The authors build a query expansion layer on top of LUCENE (.Net). It draws on three resources:
  3. A Compact Arabic Lexical Semantics Language Resource Based on the Theory of Semantic Fields (2008 · 27 citations)
    Arabic is highly inflective and derivative, so a sense inventory keyed on full word forms misses most words seen at runtime.
  4. Automatic Arabic diacritics restoration based on deep nets (2014 · 23 citations)
    Modern Standard Arabic is usually written without diacritics, yet speech synthesis, translation and similar applications need them restored.

 Co-authors here

10 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 13 times (of the 149,439 papers whose bibliographies we read); 12 citing papers with a page here →.

Updated

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