--- title: "Faisal Qarah — author profile and papers" description: "Faisal Qarah, Taibah University: 3 papers on Elamur Research (2024), h-index 4 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/faisal-qarah/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/faisal-qarah/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Faisal Qarah # Faisal Qarah 3 papers on this site · 2024 current affiliation [Taibah University](https://md.research.elamur.ai/free/en/universities/taibah-university/), Medina, Saudi Arabia Faisal Qarah has 3 papers on this site, in 2024, most of them on [Semitic languages](https://md.research.elamur.ai/free/en/topics/semitic-languages/), [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/). [OpenAlex](https://openalex.org/A5094208281) · [ORCID](https://orcid.org/0000-0003-4126-4689) · [**h-index 4**](https://openalex.org/authors/A5094208281) · [11 works](https://openalex.org/works?filter=author.id:A5094208281) · [46 citations](https://openalex.org/works?filter=author.id:A5094208281&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [3 works on this site](https://md.research.elamur.ai/free/en/authors/faisal-qarah/#papers) · [21 citations in our library](https://md.research.elamur.ai/free/en/authors/faisal-qarah/cited-by/) · [⭐ Paper Star rank #4490](https://md.research.elamur.ai/free/en/paper-stars/page/45/#star-4490) 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=Faisal+Qarah) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Faisal+Qarah) · [dblp](https://dblp.org/search?q=Faisal+Qarah) · [ACL Anthology](https://aclanthology.org/search/?q=Faisal+Qarah) ## Affiliations - [Taibah University](https://md.research.elamur.ai/free/en/universities/taibah-university/) · Medina, Saudi Arabia —current · 2023–2026 on 7 papers - [University of South Florida](https://md.research.elamur.ai/free/en/universities/university-of-south-florida/) · Tampa, United States —2019–2020 on 2 papers From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. ## Topics [Semitic languages 3](https://md.research.elamur.ai/free/en/topics/semitic-languages/) · [Language models & pretraining 2](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2024** 3 papers](https://md.research.elamur.ai/free/en/authors/faisal-qarah/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[SaudiBERT: A Large Language Model Pretrained on Saudi Dialect Corpora](https://md.research.elamur.ai/free/en/papers/qarah-2024-saudibert-large-language-model-pretrained/)** *(2024 · 14 citations)* Saudi dialect is hard to process. Its spelling is not standardized, it is full of slang and regional expressions, and it differs from Modern Standard Arabic (MSA). Earlier Arabic language models were trained on MSA or on mixed-dialect data, and existing Saudi corpora were too small or mostly MSA to support… 2. **[AraPoemBERT: A Pretrained Language Model for Arabic Poetry Analysis](https://md.research.elamur.ai/free/en/papers/qarah-2024-arapoembert-pretrained-language-model-arabic/)** *(2024 · 11 citations)* Arabic poetry is difficult for NLP. Verses follow strict prosodic meters and their variants, a whole poem keeps one rhyme, and the language differs from everyday prose. Earlier computational work mostly addressed only meter detection and sentiment, using rule systems or recurrent networks. Faisal Qarah introduces… 3. **[EgyBERT: A Large Language Model Pretrained on Egyptian Dialect Corpora](https://md.research.elamur.ai/free/en/papers/qarah-2024-egybert-large-language-model-pretrained/)** *(2024 · 10 citations)* Egyptian Arabic is one of the most widely used Arabic varieties. Existing Arabic language models, however, are trained mostly on Modern Standard Arabic (MSA) or on mixtures of many dialects, and earlier Egyptian corpora are too small to pretrain a BERT-style model. Qarah addresses this gap by building two new… ## Cited by Papers of our library cite their works 21 times (of the 140 884 papers whose bibliographies we read); [3 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/faisal-qarah/cited-by/).