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Hind Saddiki

Hind Saddiki has 3 papers in our library, in 2018–2022, most of them on Semitic languages; often with Muhamed Al Khalil, Nizar Habash, Bashar Alhafni.

3 papers in our library · 2018–2022

OpenAlex · h-index 7 · 15 works · 158 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 118 times in our library · ⭐ Paper Stars ranking: #7078

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

🎓Mohammed V UniversityRabat · Morocco2016–2018 · 6 papers🎓New York University Abu DhabiAbu Dhabi · United Arab Emirates2017–2022 · 5 papers🎓Al Akhawayn UniversityIfrane · Morocco2012–2018 · 5 papers🎓Ecole Mohammadia d'IngénieursRabat · Morocco2015–2018 · 4 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 8The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 3 worksArts and Humanities · 3 worksComputer Science · 3 worksLanguage and Linguistics · 3 worksDevelopmental and Educational Psychology · 2 worksPsychology · 2 worksEducation · 1 workSocial Sciences · 1 work

🧭 Topics 1Research subjects and languages the work is about.Semitic languages · 3 works

 Works by year

2020s

20221 paper

2010s

20182 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Arabic Word-level Readability Visualization for Assisted Text Simplification (2022 · 29 citations)
    Most readability tools score whole documents or sentences, so a human simplifier still has to find the specific words that need rewriting.
  2. Feature Optimization for Predicting Readability of Arabic L1 and L2 (2018 · 29 citations)
    The paper addresses automatic readability assessment for Arabic, a morphologically rich language with relatively few resources.
  3. A Leveled Reading Corpus of Modern Standard Arabic (2018 · 26 citations)
    Most corpora for Modern Standard Arabic (MSA) come from news, so educational resources are scarce. This matters especially for readability assessment, text simplification and language learning. The authors built a reading corpus with level labels and two parts. The first part is the complete UAE school curriculum…

 Co-authors here

5 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 118 times (of the 149,439 papers whose bibliographies we read); 85 citing papers with a page here →.

Updated

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