--- title: "Ahlam Alrehili — author profile and papers" description: "Ahlam Alrehili, Saudi Electronic University: 3 papers on Elamur Research (2024–2025), h-index 3 — affiliations, topics, co-authors and who cites them in…" canonical: "https://research.elamur.ai/free/en/authors/ahlam-alrehili/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/ahlam-alrehili/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Ahlam Alrehili # Ahlam Alrehili 3 papers on this site · 2024–2025 current affiliation [Saudi Electronic University](https://md.research.elamur.ai/free/en/universities/saudi-electronic-university/), Riyadh, Saudi Arabia Ahlam Alrehili has 3 papers on this site, in 2024–2025, most of them on [Semitic languages](https://md.research.elamur.ai/free/en/topics/semitic-languages/), [Grammatical error correction & learner language](https://md.research.elamur.ai/free/en/topics/grammatical-error-correction/); often with [Areej Alhothali](https://md.research.elamur.ai/free/en/authors/areej-alhothali/). [OpenAlex](https://openalex.org/A5091404845) · [ORCID](https://orcid.org/0000-0002-4218-4659) · [**h-index 3**](https://openalex.org/authors/A5091404845) · [9 works](https://openalex.org/works?filter=author.id:A5091404845) · [115 citations](https://openalex.org/works?filter=author.id:A5091404845&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [3 works on this site](https://md.research.elamur.ai/free/en/authors/ahlam-alrehili/#papers) · [6 citations in our library](https://md.research.elamur.ai/free/en/authors/ahlam-alrehili/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=Ahlam+Alrehili) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Ahlam+Alrehili) · [dblp](https://dblp.org/search?q=Ahlam+Alrehili) · [ACL Anthology](https://aclanthology.org/search/?q=Ahlam+Alrehili) ## Affiliations - [Saudi Electronic University](https://md.research.elamur.ai/free/en/universities/saudi-electronic-university/) · Riyadh, Saudi Arabia —current · 2025–2026 on 3 papers - [King Abdulaziz University](https://md.research.elamur.ai/free/en/universities/king-abdulaziz-university/) · Jeddah, Saudi Arabia —2025 on 4 papers - [Taibah University](https://md.research.elamur.ai/free/en/universities/taibah-university/) · Medina, Saudi Arabia —2019–2020 on 3 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/) · [Grammatical error correction & learner language 3](https://md.research.elamur.ai/free/en/topics/grammatical-error-correction/) ## Papers The most cited first (OpenAlex and our library). 1. **[Tibyan Corpus: Balanced and Comprehensive Error Coverage Corpus Using ChatGPT for Arabic Grammatical Error Correction](https://md.research.elamur.ai/free/en/papers/alrehili-2024-tibyan-corpus-balanced-comprehensive-error/)** *(2024 · 9 citations)* Arabic grammatical error correction (GEC) has very little training data. Most work depends on QALB-14 and QALB-15, which together hold roughly 20.5K parallel examples. Those corpora also cover error types unevenly and correct punctuation inconsistently. The authors build Tibyan, a new parallel GEC corpus, by using… 2. **[Towards the Development of Balanced Synthetic Data for Correcting Grammatical Errors in Arabic: An Approach Based on Error Tagging Model and Synthetic Data Generating Model](https://md.research.elamur.ai/free/en/papers/alrehili-2025-towards-development-balanced-synthetic-data/)** *(2025 · 3 citations)* Arabic grammatical error correction (GEC) has little training data. The only parallel corpora are QALB-14 and QALB-15, which are small and dominated by punctuation fixes. Earlier synthetic-data methods were mostly rule-based or random noise, so they covered a narrow range of error types. 3. **[ArbESC+: Arabic Enhanced Edit Selection System Combination for Grammatical Error Correction Resolving conflict and improving system combination in Arabic GEC](https://md.research.elamur.ai/free/en/papers/alrehili-2025-arbesc-arabic-enhanced-edit-selection/)** *(2025)* Arabic grammatical error correction (GEC) is difficult because of rich inflection, inconsistent spelling conventions, complex syntax and scarce annotated data. ## Co-authors here 1 co-author with a page, the most papers together first. - [Areej Alhothali](https://md.research.elamur.ai/free/en/authors/areej-alhothali/) ×3 ## Cited by Papers of our library cite their works 6 times (of the 140 884 papers whose bibliographies we read); [4 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/ahlam-alrehili/cited-by/).