---
title: "Mostafa Saeed — author profile and papers · Semitic languages"
description: "Mostafa Saeed, New York University Abu Dhabi: 3 papers on Elamur Research (2025), h-index 3 — affiliations, topics, co-authors and who…"
canonical: "https://research.elamur.ai/free/en/authors/mostafa-saeed/"
---
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# Mostafa Saeed

Mostafa Saeed has 3 papers in our library, in 2025, most of them on [Semitic languages](https://md.research.elamur.ai/free/en/topics/semitic-languages/), [Morphology](https://md.research.elamur.ai/free/en/topics/morphology/); often with [Nizar Habash](https://md.research.elamur.ai/free/en/authors/nizar-habash/).

3 papers in our library · 2025

[OpenAlex](https://openalex.org/A5074666575) · [**h-index 3**](https://openalex.org/authors/A5074666575) · [16 works](https://openalex.org/works?filter=author.id:A5074666575) · [35 citations](https://openalex.org/works?filter=author.id:A5074666575&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/mostafa-saeed/#papers) · [🔗 Cited 3 times in our library](https://md.research.elamur.ai/free/en/authors/mostafa-saeed/cited-by/) · [⭐ Paper Stars ranking: #10838](https://md.research.elamur.ai/free/en/paper-stars/page/109/#star-10838)

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Mostafa+Saeed) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Mostafa+Saeed) · [dblp](https://dblp.org/search?q=Mostafa+Saeed) · [ACL Anthology](https://aclanthology.org/search/?q=Mostafa+Saeed)

## Affiliations

[🎓**New York University Abu Dhabi** Abu Dhabi · United Arab Emirates 2025 · 4 papers*current*](https://md.research.elamur.ai/free/en/universities/new-york-university-abu-dhabi/) · [🎓**October University of Modern Sciences and Arts** Cairo · Egypt 2020–2024 · 10 papers](https://md.research.elamur.ai/free/en/universities/october-university-of-modern-sciences-and-arts/)

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 4 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/)

🧭 Topics 2 Research subjects and languages the work is about.[Semitic languages · 3 works](https://md.research.elamur.ai/free/en/topics/semitic-languages/) · [Morphology · 1 work](https://md.research.elamur.ai/free/en/topics/morphology/)

💡 Concepts 1 Key ideas and methods explained on our concept pages.[Lemmatization · 2 works](https://md.research.elamur.ai/free/en/concepts/lemmatization/)

## Works by year

### 2020s

[**2025** 3 papers](https://md.research.elamur.ai/free/en/authors/mostafa-saeed/year/2025/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Lemmatization as a Classification Task: Results from Arabic across Multiple Genres](https://md.research.elamur.ai/free/en/papers/saeed-2025-lemmatization-as-classification-task-results/)** *(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](https://md.research.elamur.ai/free/en/papers/saeed-2025-amar-barec-shared-task-2025/)** *(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](https://md.research.elamur.ai/free/en/papers/saeed-2025-lemmatizing-dialectal-arabic-sequence-sequence/)** *(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.

- [Nizar Habash](https://md.research.elamur.ai/free/en/authors/nizar-habash/) ×2

## Venues

Where their works here were published, the most works first, with the editions of those that have a page.

- [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/) ×2: [ArabicNLP 2025](https://md.research.elamur.ai/free/en/venues/arabicnlp/2025/) ×2
- [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/): [EMNLP 2025](https://md.research.elamur.ai/free/en/venues/emnlp/2025/)

## 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 →](https://md.research.elamur.ai/free/en/authors/mostafa-saeed/cited-by/).

Updated 31 October 2026
