--- title: "Areej Alhothali — author profile and papers" description: "Areej Alhothali, King Abdulaziz University: 7 papers on Elamur Research (2023–2025), h-index 19 — affiliations, topics, co-authors and who cites them in…" canonical: "https://research.elamur.ai/free/en/authors/areej-alhothali/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/areej-alhothali/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Areej Alhothali # Areej Alhothali 7 papers on this site · 2023–2025 current affiliation [King Abdulaziz University](https://md.research.elamur.ai/free/en/universities/king-abdulaziz-university/), Jeddah, Saudi Arabia Areej Alhothali has 7 papers on this site, in 2023–2025, 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/), [Speech act theory](https://md.research.elamur.ai/free/en/topics/speech-act-theory/); often with [Ahlam Alrehili](https://md.research.elamur.ai/free/en/authors/ahlam-alrehili/). [OpenAlex](https://openalex.org/A5064394288) · [ORCID](https://orcid.org/0000-0001-9727-0178) · [**h-index 19**](https://openalex.org/authors/A5064394288) · [85 works](https://openalex.org/works?filter=author.id:A5064394288) · [1 186 citations](https://openalex.org/works?filter=author.id:A5064394288&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [7 works on this site](https://md.research.elamur.ai/free/en/authors/areej-alhothali/#papers) · [10 citations in our library](https://md.research.elamur.ai/free/en/authors/areej-alhothali/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=Areej+Alhothali) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Areej+Alhothali) · [dblp](https://dblp.org/search?q=Areej+Alhothali) · [ACL Anthology](https://aclanthology.org/search/?q=Areej+Alhothali) ## Affiliations - [King Abdulaziz University](https://md.research.elamur.ai/free/en/universities/king-abdulaziz-university/) · Jeddah, Saudi Arabia —current · 2019–2026 on 67 papers - [University of Waterloo](https://md.research.elamur.ai/free/en/universities/university-of-waterloo/) · Waterloo, Canada —2013–2021 on 5 papers From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed. ## Topics [Semitic languages 7](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/) · [Speech act theory 1](https://md.research.elamur.ai/free/en/topics/speech-act-theory/) · [Language models & pretraining 1](https://md.research.elamur.ai/free/en/topics/language-models/) · [Sentiment & emotion 1](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/) · [Legal AI 1](https://md.research.elamur.ai/free/en/topics/legal-ai/) ## Works by year ### 2020s [**2025** 3 papers](https://md.research.elamur.ai/free/en/authors/areej-alhothali/year/2025/) · [**2024** 2 papers](https://md.research.elamur.ai/free/en/authors/areej-alhothali/year/2024/) · [**2023** 2 papers](https://md.research.elamur.ai/free/en/authors/areej-alhothali/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[Detecting Suicidality in Arabic Tweets Using Machine Learning and Deep Learning Techniques](https://md.research.elamur.ai/free/en/papers/abdulsalam-2023-detecting-suicidality-arabic-tweets-using/)** *(2023 · 29 citations)* Automatic screening of social media for suicidal ideation has mostly been studied for English and Chinese. 2. **[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… 3. **[ALJP: An Arabic Legal Judgment Prediction in Personal Status Cases Using Machine Learning Models](https://md.research.elamur.ai/free/en/papers/abbara-2023-aljp-arabic-legal-judgment-prediction/)** *(2023 · 4 citations)* The paper addresses Legal Judgment Prediction (LJP) for Arabic, a language the authors say had no prior LJP work. 4. **[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. 5. **[Arabic Tweet Act: A Weighted Ensemble Pre-Trained Transformer Model for Classifying Arabic Speech Acts on Twitter](https://md.research.elamur.ai/free/en/papers/alshehri-2024-arabic-tweet-act-weighted-ensemble/)** *(2024 · 1 citation)* Most speech act work targets English or Modern Standard Arabic, while Arabic social media is mostly dialectal and has no fixed spelling or grammar. 6. **[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. 7. **[Domain-Adaptive Pre-Training for Arabic Aspect-Based Sentiment Analysis: A Comparative Study of Domain Adaptation and Fine-Tuning Strategies](https://md.research.elamur.ai/free/en/papers/alyami-2025-domain-adaptive-pre-training-arabic/)** *(2025)* The paper looks at Arabic aspect-based sentiment analysis (ABSA), where labelled data is scarce. Arabic BERT-style models are mostly pre-trained on factual text such as Wikipedia, which may not suit opinion-heavy review language. The authors present what they describe as the first systematic study of domain-adaptive… ## Co-authors here 1 co-author with a page, the most papers together first. - [Ahlam Alrehili](https://md.research.elamur.ai/free/en/authors/ahlam-alrehili/) ×3 ## Cited by Papers of our library cite their works 10 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/areej-alhothali/cited-by/).