--- title: "Yemen — research institutions, scientists and papers" description: "Yemen: 2 institutions with papers in our library in 2 agglomerations, 1 people with a page, 6 works, 7 citations." canonical: "https://research.elamur.ai/free/en/countries/yemen/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/countries/yemen/) [home](https://md.research.elamur.ai/free/en/) / [countries](https://md.research.elamur.ai/free/en/countries/) / Yemen # Yemen Country 2 institutions in 2 agglomerations · [all countries](https://md.research.elamur.ai/free/en/countries/) [**2** institutions with a page](https://md.research.elamur.ai/free/en/countries/yemen/#institutions) · [**2** agglomerations](https://md.research.elamur.ai/free/en/countries/yemen/#agglomerations) · [**1** person with a page](https://md.research.elamur.ai/free/en/countries/yemen/#authors) · [**6** works in our library](https://md.research.elamur.ai/free/en/countries/yemen/#works) · [**7** citations of their works](https://md.research.elamur.ai/free/en/countries/yemen/#works) ## About ### Profile Yemen appears on this site through the work of its universities, [Ibb University](https://md.research.elamur.ai/free/en/universities/ibb-university/) in the city of [Ibb](https://md.research.elamur.ai/free/en/agglomerations/ibb/) and [Taiz University](https://md.research.elamur.ai/free/en/universities/taiz-university/) in [Ta‘izz](https://md.research.elamur.ai/free/en/agglomerations/ta-izz/). Both institutions are universities, and no research institutes, hospitals or companies from the country are represented here. Seen through these works, Yemen's research is a compact body of writing devoted to one subject: the Arabic language. It is studied in its spoken dialects, in its religious and classical registers, and in its digital forms on social media. More and more of it is approached with the tools of machine learning and large language models. All of the country's works here belong to the field of [Linguistics & languages](https://md.research.elamur.ai/free/en/shelves/linguistics/), and every one of them is tagged with [Semitic languages](https://md.research.elamur.ai/free/en/topics/semitic-languages/). Within that common ground, individual papers branch into [discourse analysis](https://md.research.elamur.ai/free/en/topics/discourse-analysis/), [speech and spoken language](https://md.research.elamur.ai/free/en/topics/speech/), and [syntax and grammar formalisms](https://md.research.elamur.ai/free/en/topics/syntax-grammar/). Ibb accounts for the larger and more cited share of this output. Taiz University adds two papers of a different kind: a speech-recognition resource and a comparative study of Qur'anic readings. ### History Among the works here, Yemen's research begins in 2024 with a study from Ibb University on whether ChatGPT can translate Arabic oaths into English. That paper set a direction that later work from the same university followed. Its material was Arabic that carries cultural, religious or interpersonal meaning, and it tested that material against the abilities of current language technology. The remaining works all date from 2026, which marks a clear widening. At Ibb, the research on machines and Arabic meaning continued with two papers on emoji in Arabic social media, both built on the MARBERT model. In the same year Ibb also produced a formal syntactic description of the local Arabic dialect. Taiz University enters the collection in 2026 with a dataset for recognising dialectal Arabic speech and with a descriptive comparison of Qur'anic readings and modern Arabic dialects. Between 2024 and 2026, then, a strand of computational pragmatics grows alongside newer strands in dialect syntax, speech technology and historical-comparative linguistics. ### Research profile The most visible theme is the meeting of Arabic pragmatics with artificial intelligence. The 2024 paper [Can ChatGPT capture swearing nuances?](https://md.research.elamur.ai/free/en/papers/shormani-2024-chatgpt-capture-swearing-nuances-evidence/) examines how a large language model handles Arabic oaths when it renders them in English. The central concern is whether their religious framing and social force survive the transfer. The question is less about word-for-word accuracy than about whether the weight of an oath is preserved when a machine translates it. Two later papers move from translation to classification. [Machine learning and emoji prediction](https://md.research.elamur.ai/free/en/papers/shormani-2026-machine-learning-emoji-prediction-much/) treats the choice of emoji in Arabic tweets as something a model might infer from the wording of the post alone. It reports a high level of precision for MARBERT, a pretrained Transformer for Arabic. The companion study, [Does Machine "know" interpersonal pragmatics?](https://md.research.elamur.ai/free/en/papers/shormani-2026-machine-know-interpersonal-pragmatics-evidence/), goes further. It asks whether such a model can identify the social functions emojis serve in online exchanges, such as softening, bonding or signalling stance. This paper carries the discourse-analysis topic and also reports strong accuracy. A second theme is the description of Yemeni Arabic dialects in their own right. [The syntax of wh-agreement in Yemeni Ibbi Arabic](https://md.research.elamur.ai/free/en/papers/naji-2026-syntax-wh-agreement-yemeni-ibbi/) gives both a description and a formal account of wh-agreement in the Arabic of Ibb Governorate. The paper treats this local variety as little studied and places its description within formal syntactic theory. Its reference list is the longest among the country's works here, which shows how much earlier scholarship on agreement and question formation it engages. The paper also ties Ibb's research to its own linguistic surroundings, because the dialect it studies is the one spoken where the university stands. A third theme, centred on Taiz University, concerns spoken and historical Arabic. [Bulbul: A Dataset for Dialectal Arabic Speech Recognition](https://md.research.elamur.ai/free/en/papers/ashraf-2026-bulbul-dataset-dialectal-arabic-speech/) starts from a practical problem. Automatic recognition of Arabic speech is held back by a shortage of spoken-language material, and the material that does exist leans heavily toward Modern Standard Arabic and a few other varieties. The paper responds by assembling a dataset that covers dialectal speech, and it carries the speech topic. [Qur'anic Readings and Modern Arabic Dialects](https://md.research.elamur.ai/free/en/papers/sabahi-2026-qur-anic-readings-modern-arabic/) turns to the classical tradition. It compares the recognised readings of the Qur'an with features found in present-day dialects. Its design is qualitative, descriptive and comparative, and it works without statistics or corpus counts. Together these lines cover a wide span of Arabic for a small body of work. They range from sacred text and its reading traditions to the syntax of a local dialect, and from oaths in translation to emoji on social media. Several of them apply modern machine-learning methods. ### Leading scientists The scientist shown first for Yemen is [Mohammed Q. Shormani](https://md.research.elamur.ai/free/en/authors/mohammed-q-shormani/) of Ibb University, whose name runs through most of Ibb's output here. Shormani is the sole author of the 2024 ChatGPT study on Arabic oaths and of the 2026 paper on MARBERT and interpersonal pragmatics. Shormani is also first author of the emoji-prediction study and co-author of the paper on wh-agreement in Yemeni Ibbi Arabic. This work joins two interests that are often kept apart. One is the pragmatics of Arabic: how oaths, emojis and relational signals carry social meaning. The other is a formal account of dialect grammar. Running through both is a steady interest in testing how far current language models actually grasp such meaning. Shormani's papers in our library also include work beyond the country's institutions. Among the works here, they form the most cited part of Yemen's research. Ibb University also counts [Eiad Almekhlafi](https://md.research.elamur.ai/free/en/authors/eiad-almekhlafi/) among its people with a page on this site. None of the country's works described here carries Almekhlafi's name, so the subject of that research cannot be set out from this collection. No scientist from Taiz University has a page of their own on this site, and its papers are known through their author teams. ### Landmark works The most cited of the country's works here is the 2024 study on ChatGPT and Arabic oaths. It brought a pragmatically demanding kind of expression, the oath with its religious framing, into the evaluation of a widely used language model, and other papers in our library cite it. Next in citations comes the emoji-prediction paper with MARBERT. It turned a question about digital communication into a measurable prediction task on Arabic tweets and showed what a dialect-aware Arabic model could achieve on that task. The Bulbul dataset from Taiz University is also cited within the library. That fits a resource paper, since datasets often serve as building blocks for later work on dialectal speech recognition. The study of interpersonal pragmatics in MARBERT is likewise cited, and it extends the emoji line toward relational meaning. The two remaining 2026 papers, on wh-agreement in Ibbi Arabic and on Qur'anic readings and modern dialects, have not yet drawn citations here. Both are substantial descriptive studies, and the syntax paper is the most heavily referenced of the set. ### Labs and units The country's research on this site is organised around its universities rather than around named departments or laboratories. Ibb University, in Ibb, holds most of the works and most of their citations, and its work centres on Arabic pragmatics, computational models of Arabic and the syntax of the local dialect. Taiz University, in Ta‘izz, contributes the speech dataset and the study of Qur'anic readings. No smaller units within either university are shown. ### Collaborations Several of the works are team efforts, although the affiliations of most co-authors are not stated. The emoji-prediction paper joins Shormani with Ibrahim Abdulmalik Hassan and Muneef Y. Alshawsh. The study of wh-agreement has Ashraf Naji as first author with Shormani, linking dialect description and formal syntax at Ibb. At Taiz University, the Bulbul dataset was produced by a larger team that includes Ahmed Ashraf, Aisha Alansari and Fadel Al Abbas, among others. The Qur'anic readings study was written by Rushdi Al Sabahi, Mariam Elbanna and Ainur Rhain. No joint paper between Ibb University and Taiz University appears among the works here. The two institutions follow separate but related paths within Arabic linguistics. ### Timeline In 2024, Yemen's research on this site opens with Shormani's study at Ibb University on how well ChatGPT conveys the nuances of Arabic oaths in English. It is the earliest and so far the most cited of the country's works here. It also establishes the theme of putting language models to the test on culturally loaded Arabic. In 2026, the body of work widens considerably. At Ibb, the work on machines and meaning continues in two MARBERT studies of emoji in Arabic social media, one on prediction and one on interpersonal pragmatics. Ibb also turns to its own dialect with a formal analysis of wh-agreement in Yemeni Ibbi Arabic. In the same year Taiz University joins with the Bulbul dataset for dialectal Arabic speech recognition and with a descriptive-comparative study relating Qur'anic readings to modern Arabic dialects. By the end of this period, Yemen's presence in the library spans computational pragmatics, dialect syntax, speech resources and the study of classical reading traditions, all within the study of Arabic as a Semitic language. ## Where ## Agglomerations (2) 1. [**Ibb**1 institution*6 citations*](https://md.research.elamur.ai/free/en/agglomerations/ibb/) 2. [**Ta'izz**1 institution*1 citation*](https://md.research.elamur.ai/free/en/agglomerations/ta-izz/) ## Institutions (2) ### 🎓 Universities (2) 1. **[Ibb University](https://md.research.elamur.ai/free/en/universities/ibb-university/)**University · [Ibb](https://md.research.elamur.ai/free/en/agglomerations/ibb/), Yemen*4 works · 6 citations* 2. **[Taiz University](https://md.research.elamur.ai/free/en/universities/taiz-university/)**University · [Ta‘izz](https://md.research.elamur.ai/free/en/agglomerations/ta-izz/), Yemen*2 works · 1 citation* ## People (1) Authors with a page confirmed at its institutions, the most cited first. 1. [**Mohammed Q. Shormani**Ibb University*7 papers here · 15 citations*](https://md.research.elamur.ai/free/en/authors/mohammed-q-shormani/) ## Works in our library (6) Works of its institutions, the most cited first. 1. [**Can ChatGPT capture swearing nuances? Evidence from translating Arabic oaths**Mohammed Q. Shormani*2024 · 3 citations*](https://md.research.elamur.ai/free/en/papers/shormani-2024-chatgpt-capture-swearing-nuances-evidence/) 2. [**Machine learning and emoji prediction: How much accuracy can MARBERT achieve?**Mohammed Q. Shormani, Ibrahim Abdulmalik Hassan Muneef Y. Alshawsh*2026 · 2 citations*](https://md.research.elamur.ai/free/en/papers/shormani-2026-machine-learning-emoji-prediction-much/) 3. [**Bulbul: A Dataset for Dialectal Arabic Speech Recognition**Ahmed Ashraf, Aisha Alansari, Fadel Al Abbas, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/ashraf-2026-bulbul-dataset-dialectal-arabic-speech/) 4. [**Does Machine "know" interpersonal pragmatics? Evidence from MARBERT's learning of emoji pragmatics in Arabic digital discourse**Mohammed Q. Shormani*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/shormani-2026-machine-know-interpersonal-pragmatics-evidence/) 5. [**The syntax of wh-agreement in Yemeni Ibbi Arabic**Ashraf Naji, Mohammed Q. Shormani*2026*](https://md.research.elamur.ai/free/en/papers/naji-2026-syntax-wh-agreement-yemeni-ibbi/) 6. [**Qur'anic Readings and Modern Arabic Dialects: A Descriptive-Comparative Linguistic Study**Rushdi Al Sabahi, Mariam Elbanna, Ainur Rhain*2026*](https://md.research.elamur.ai/free/en/papers/sabahi-2026-qur-anic-readings-modern-arabic/) ## Concepts, shelves and topics Of its works in our library: the number of works on each and its rating among them. 📚 Shelves 11[Arts and Humanities · 6 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 6 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Artificial Intelligence · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Human-Computer Interaction · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/human-computer-interaction/) · [Communication · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/communication/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Signal Processing · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/signal-processing/) · [Psychology · 2 works](https://md.research.elamur.ai/free/en/shelves/psychology/) · [Developmental and Educational Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/developmental-and-educational-psychology/) · [Experimental and Cognitive Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/experimental-and-cognitive-psychology/) 🧭 Topics 4[Semitic languages · 6 works](https://md.research.elamur.ai/free/en/topics/semitic-languages/) · [Discourse analysis · 1 work](https://md.research.elamur.ai/free/en/topics/discourse-analysis/) · [Speech & spoken language · 1 work](https://md.research.elamur.ai/free/en/topics/speech/) · [Syntax & grammar formalisms · 1 work](https://md.research.elamur.ai/free/en/topics/syntax-grammar/) ## Works by year ### 2020s [**2026** 5 works](https://md.research.elamur.ai/free/en/countries/yemen/year/2026/) · [**2024** 1 work](https://md.research.elamur.ai/free/en/papers/shormani-2024-chatgpt-capture-swearing-nuances-evidence/) - [← back to](https://md.research.elamur.ai/free/en/countries/) — countries Updated 23 October 2026