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May Bashendy

May Bashendy has 5 papers in our library, in 2019–2026, most of them on Semitic languages, Grammatical error correction & learner language, Question answering; often with Tamer Elsayed, Sohaila Eltanbouly, Houda Bouamor.

5 papers in our library · 2019–2026

OpenAlex · h-index 4 · 17 works · 202 citations OpenAlex, 2026-10-14

📄 5 works in our library · 🔗 Cited 36 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #8289

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

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.

 Works by year

2020s

2010s

 Papers

The most cited first (OpenAlex and our library).

  1. QAES: First Publicly-Available Trait-Specific Annotations for Automated Scoring of Arabic Essays (2024 · 19 citations)
    Arabic automated essay scoring (AES) has lagged behind English mainly because no openly shared Arabic essays carry quality scores, and almost none carry scores per writing trait.
  2. LAILA: A Large Trait-Based Dataset for Arabic Automated Essay Scoring (2026 · 6 citations)
    Arabic automated essay scoring (AES) has lagged behind English because few public Arabic datasets exist. Those that do are small, have no per-trait labels, or have no labels at all. The authors address this gap with LAILA. Over one academic year, they gathered 7,859 essays from 4,372 students in 24 Qatari high…
  3. Feature Engineering is not Dead: A Step Towards State of the Art for Arabic Automated Essay Scoring (2025 · 5 citations)
    Automated essay scoring for Arabic has received far less attention than for English. Most earlier Arabic work trains and tests on essays written for a single prompt, and there was no open, systematic feature inventory. The authors assemble and publicly release 816 handcrafted features for Arabic AES. They draw on…
  4. Simple But Not Naïve: Fine-Grained Arabic Dialect Identification Using Only N-Grams (2019 · 4 citations)
    The paper tackles sentence-level Arabic dialect identification at city granularity. The task is hard because neighbouring dialects share script, much vocabulary and grammar, and cities in the same country can be nearly indistinguishable. Working within the MADAR shared task (25 city dialects plus MSA, 26 classes)…
  5. Corruption-Based Data Augmentation for Arabic Essay Scoring: A Preliminary Study on the Organization Trait (2026)
    Arabic automated essay scoring (AES) is held back by small, unbalanced annotated datasets, and few of them have trait-level scores.

All works

6 works of theirs in our library, the most cited first; 5 with a page here, the others link their original until we summarise them.

  1. TAQEEM 2025: Overview of The First Shared Task for Arabic Quality Evaluation of Essays in Multi-dimensions ↗Proceedings of The Third Arabic Natural Language Processing Conference: Shared Tasks · no summary yetMay Bashendy et al.2025 · 9 citations

 Co-authors here

7 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 36 times (of the 149,439 papers whose bibliographies we read); 17 citing papers with a page here →.

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