--- title: "Maged S. Al-Shaibani — author profile and papers" description: "Maged S. Al-Shaibani: 9 papers on Elamur Research (2021–2026) — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/maged-s-al-shaibani/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/maged-s-al-shaibani/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Maged S. Al-Shaibani # Maged S. Al-Shaibani 9 papers on this site · 2021–2026 Maged S. Al-Shaibani has 9 papers on this site, in 2021–2026, most of them on [Semitic languages](https://md.research.elamur.ai/free/en/topics/semitic-languages/), [Speech & spoken language](https://md.research.elamur.ai/free/en/topics/speech/), [Low-resource languages](https://md.research.elamur.ai/free/en/topics/low-resource-languages/); often with [Zaid Alyafeai](https://md.research.elamur.ai/free/en/authors/zaid-alyafeai/), [Irfan Ahmad](https://md.research.elamur.ai/free/en/authors/irfan-ahmad/), [Mustafa Ghaleb](https://md.research.elamur.ai/free/en/authors/mustafa-ghaleb/). No OpenAlex profile matched yet. [9 works on this site](https://md.research.elamur.ai/free/en/authors/maged-s-al-shaibani/#papers) · [59 citations in our library](https://md.research.elamur.ai/free/en/authors/maged-s-al-shaibani/cited-by/) 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=Maged+S.+Al-Shaibani) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Maged+S.+Al-Shaibani) · [dblp](https://dblp.org/search?q=Maged+S.+Al-Shaibani) · [ACL Anthology](https://aclanthology.org/search/?q=Maged+S.+Al-Shaibani) ## Topics [Semitic languages 9](https://md.research.elamur.ai/free/en/topics/semitic-languages/) · [Speech & spoken language 2](https://md.research.elamur.ai/free/en/topics/speech/) · [Low-resource languages 1](https://md.research.elamur.ai/free/en/topics/low-resource-languages/) · [Morphology 1](https://md.research.elamur.ai/free/en/topics/morphology/) · [Tokenization & segmentation 1](https://md.research.elamur.ai/free/en/topics/tokenization/) ## Papers The most cited first (OpenAlex and our library). 1. **[Evaluating Various Tokenizers for Arabic Text Classification](https://md.research.elamur.ai/free/en/papers/alyafeai-2021-evaluating-various-tokenizers-arabic-text/)** *(2021 · 66 citations)* Subword tokenizers such as BPE or SentencePiece are usually language-agnostic and do not take morphology into account. 2. **[Masader: Metadata Sourcing for Arabic Text and Speech Data Resources](https://md.research.elamur.ai/free/en/papers/alyafeai-2022-masader-metadata-sourcing-arabic-text/)** *(2022 · 28 citations)* Arabic NLP and speech datasets are scattered across many sites, and most come with little descriptive information. 3. **[Ashaar: Automatic Analysis and Generation of Arabic Poetry Using Deep Learning Approaches](https://md.research.elamur.ai/free/en/papers/alyafeai-2023-ashaar-automatic-analysis-generation-arabic/)** *(2023 · 9 citations)* Classical Arabic poetry follows strict metrical rules: the 16 meters codified from al-Farahidi's Arud system. 4. **[Calliar: An Online Handwritten Dataset for Arabic Calligraphy](https://md.research.elamur.ai/free/en/papers/alyafeai-2021-calliar-online-handwritten-dataset-arabic/)** *(2021 · 8 citations)* Online Arabic handwriting datasets already exist, but none of them cover calligraphy. Collections of calligraphic styles such as Diwani, Thuluth, Kufi and Farisi exist only as offline images, with no record of how each letter was drawn. The authors close this gap with Calliar. They gathered calligraphy images from… 5. **[The Arabic AI Fingerprint: Stylometric Analysis and Detection of Large Language Models Text](https://md.research.elamur.ai/free/en/papers/al-2025-shaibani-arabic-ai-fingerprint-stylometric-analysis/)** *(2025 · 7 citations)* The paper asks whether text written by large language models in Arabic carries recognisable traces, and whether those traces can drive a reliable detector. 6. **[Bulbul: A Dataset for Dialectal Arabic Speech Recognition](https://md.research.elamur.ai/free/en/papers/ashraf-2026-bulbul-dataset-dialectal-arabic-speech/)** *(2026 · 1 citation)* Arabic speech recognition struggles because speech resources are scarce and skewed toward a few varieties: MSA, Egyptian, broad Levantine, Gulf and Moroccan. 7. **[Dotless Representation of Arabic Text: Analysis and Modeling](https://md.research.elamur.ai/free/en/papers/al-2023-shaibani-dotless-representation-arabic-text-analysis/)** *(2023 · 1 citation)* Arabic script has many letters that share a base shape (rasm) and differ only in their dots. The authors ask what happens if the dots are removed entirely, so that dotted words collapse into shared dotless homographs. They compare dotless and standard Arabic across five corpora of different domains and sizes and four… 8. **[Character Iconicity vs. Arbitrariness: An Arabic NLP Perspective](https://md.research.elamur.ai/free/en/papers/alomari-2026-character-iconicity-vs-arbitrariness-arabic/)** *(2026)* Many Arabic letters share one base shape (rasm) and differ only in their dots. Earlier work showed that undotted Arabic still works well for NLP. This paper asks why. Does it work because the historical rasm groupings carry real visual or orthographic structure, or because models adapt to any reduced alphabet that is… 9. **[Poem Meter Classification of Recited Arabic Poetry: Integrating High-Resource Systems for a Low-Resource Task](https://md.research.elamur.ai/free/en/papers/al-2025-shaibani-poem-meter-classification-recited-arabic/)** *(2025)* The paper tackles automatic identification of the meter (the rhythmic pattern studied in Arabic prosody, Arud) of Arabic poetry when the input is recorded recitation rather than written text. ## Co-authors here 11 co-authors with a page, the most papers together first. - [Zaid Alyafeai](https://md.research.elamur.ai/free/en/authors/zaid-alyafeai/) ×5 - [Irfan Ahmad](https://md.research.elamur.ai/free/en/authors/irfan-ahmad/) ×3 - [Mustafa Ghaleb](https://md.research.elamur.ai/free/en/authors/mustafa-ghaleb/) ×3 - [Moataz Ahmed](https://md.research.elamur.ai/free/en/authors/moataz-ahmed/) ×2 - [AbdelRahim Elmadany](https://md.research.elamur.ai/free/en/authors/abdelrahim-elmadany/) - [Aisha Alansari](https://md.research.elamur.ai/free/en/authors/aisha-alansari/) - [Dania Refai](https://md.research.elamur.ai/free/en/authors/dania-refai/) - [Maraim Masoud](https://md.research.elamur.ai/free/en/authors/maraim-masoud/) - [Muhammad Abdul-Mageed](https://md.research.elamur.ai/free/en/authors/muhammad-abdul-mageed/) - [Nada Almarwani](https://md.research.elamur.ai/free/en/authors/nada-almarwani/) - [Saad Ezzini](https://md.research.elamur.ai/free/en/authors/saad-ezzini/) ## Cited by Papers of our library cite their works 59 times (of the 140 884 papers whose bibliographies we read); [18 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/maged-s-al-shaibani/cited-by/).