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Mostafa Saeed

Mostafa Saeed has 3 papers in our library, in 2025, most of them on Semitic languages, Morphology; often with Nizar Habash.

3 papers in our library · 2025

OpenAlex · h-index 3 · 16 works · 35 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 3 times in our library · ⭐ Paper Stars ranking: #10838

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

🎓New York University Abu DhabiAbu Dhabi · United Arab Emirates2025 · 4 paperscurrent🎓October University of Modern Sciences and ArtsCairo · Egypt2020–2024 · 10 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 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 worksMorphology · 1 work

💡 Concepts 1Key ideas and methods explained on our concept pages.Lemmatization · 2 works

 Works by year

2020s

20253 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Lemmatization as a Classification Task: Results from Arabic across Multiple Genres (2025 · 2 citations)
    Arabic lemmatization is hard because the orthography drops vowels, so one written word has several lemma, POS and gloss readings.
  2. AMAR at BAREC Shared Task 2025: Arabic Meta-learner for Assessing Readability (2025 · 1 citation)
    The paper describes the AMAR team's entry to the BAREC Shared Task 2025. The task is to grade Arabic text on a 19-level readability scale, at sentence and document granularity, under three tracks with different data restrictions. Arabic is hard here because of its rich morphology and because BAREC mixes many genres.…
  3. Lemmatizing Dialectal Arabic with Sequence-to-Sequence Models (2025)
    Dialectal Arabic is hard to lemmatize. Spelling is not standardized, diacritics are usually missing, and morphological analyzers exist for only a few dialects, often with uneven quality. Saeed and Habash treat lemmatization as character-level generation with Seq2Seq models that output diacritized lemmas. They test…

 Co-authors here

1 co-author 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 3 times (of the 149,439 papers whose bibliographies we read); 3 citing papers with a page here →.

Updated

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