5 citations · 19 across the 15 of their papers we have counts for
18 papers
A generative-informed neuro-symbolic framework for syntactic ambiguity resolution: Evidence from Arabic DPs
Mohammed Damom, Muneef Y. Alshawsh, Ashraf A. Naji +5
Syntactic ambiguity poses a persistent challenge for Arabic NLP, particularly in morphologically rich nominal constructions where multiple structu6ral interpretations may be compat…
Digital diglossia: Arabic between X and Facebook
Fahad Al Hussen, Mohammed Q. Shormani
This study highlights the distribution of Standard Arabic (SA; H(igh) variety) and Colloquial Arabic (CA; L(ow) variety) across X and Facebook. 16754 public posts were collected vi…
Domain-specific Pretraining Profile and Transformer Performance: Evidence from Modeling Digital Pragmatics in Arabic-English Code-switching
Fahad Al Hussen, King Saud University, Riyadh +5
This study highlights the role of domain-specific pretraining profile (DSPP) in Transformer performance for modeling digital pragmatics in Arabic-English code-switched discourse. I…
Machine learning and digital pragmatics: Which word category influences emoji use most?
Mohammed Q. Shormani, Yehia A. AlSohbani
This study examines the performance of the state-of-the-art MARBERT model in identifying the lexical/pragmatic category associated with emoji use on X within a digital pragmatics a…
Does Machine "know" interpersonal pragmatics? Evidence from MARBERT's learning of emoji pragmatics in Arabic digital discourse
Mohammed Q. Shormani
This study examines Transformer-based models' ability to learn emoji pragmatics in Arabic digital discourse (ADD), providing evidence from MARBERT's behavior with interpersonal pra…
The syntax of wh-agreement in Yemeni Ibbi Arabic
Ashraf Naji, Mohammed Q. Shormani
This article tackles an important phenomenon in the syntax of Yemeni Ibbi Arabic (YIA), viz., wh-agreement, a phenomenon common to several languages including Greek, Indonesian, Lu…
AI tools in Arab University English classrooms: Looking back and forward
Mohammed Q. Shormani, Muneef Yehia Alshawsh
This paper aims to synthesize empirical research on AI tools used to support English as a second/foreign language (EL2) learners in Arab University classrooms (AUCs) between Jan 1s…
Revisiting the syntax of imperatives in Yemeni Arabic: An Agree across phases approach
Mohammed Q. Shormani
This article revisits the syntax of imperatives in Yemeni Arabic proposing an Agree acros phases (AAP) approach. I argue that the AAP approach successfully accounts for both simple…
Machine learning and emoji prediction: How much accuracy can MARBERT achieve?
Mohammed Q. Shormani, Ibrahim Abdulmalik Hassan Muneef Y. Alshawsh
This study investigates Machine Learning (ML) in the prediction of emojis in Arabic tweets employing the (state-of-the-art) MARBERT model. A corpus of 11379 CA tweets representing…
The impact of postediting on AI generative translation in Yemeni context: Translating literary prose by ChatGPT
Nasim Al-wagieh, Mohammed Q. Shormani
This study examines the role of artificial intelligence in translation, focusing on ChatGPT, specifically ChatGPT-4, and the extent to which human postediting is required in litera…
Current LLMs still cannot 'talk much' about grammar modules: Evidence from syntax
Mohammed Q. Shormani, Yehia A. AlSohbani
We aim to examine the extent to which Large Language Models (LLMs) can 'talk much' about grammar modules, providing evidence from syntax core properties translated by ChatGPT into…
The acquisition of English irregular inflections by Yemeni L1 Arabic learners: A Universal Grammar approach
Muneef Y. Alsawsh, Mohammed Q. Shormani
This study examines the acquisition of English irregular inflections by Yemeni learners of English as a second language (L2), utilizing a Universal Grammar (UG) approach. Within th…
The Syntax of qulk-clauses in Yemeni Ibbi Arabic: A Minimalist Approach
Zubaida Mohammed Albadani, Mohammed Q. Shormani
This study investigates the syntax of qulk-clauses in Yemeni Ibbi Arabic (YIA) within the Minimalist Program. The construction qulk-clause, a morphologically fused form meaning 'I…
Can ChatGPT capture swearing nuances? Evidence from translating Arabic oaths
Mohammed Q. Shormani
This study sets out to answer one major question: Can ChatGPT capture swearing nuances? It presents an empirical study on the ability of ChatGPT to translate Arabic oath expression…
Non-native speakers of English or ChatGPT: Who thinks better?
Mohammed Q. Shormani
This study sets out to answer one major question: Who thinks better, non-native speakers of English or ChatGPT?, providing evidence from processing and interpreting center-embeddin…
Generative linguistics contribution to artificial intelligence: Where this contribution lies?
Mohammed Q. Shormani
This article aims to characterize Generative linguistics (GL) contribution to artificial intelligence (AI), alluding to the debate among linguists and AI scientists on whether ling…
What fifty-one years of Linguistics and Artificial Intelligence research tell us about their correlation: A scientometric analysis
Mohammed Q. Shormani
There is a strong correlation between linguistics and artificial intelligence (AI), best manifested by deep learning language models. This study provides a thorough scientometric a…
Artificial intelligence contribution to translation industry: looking back and forward
Mohammed Q. Shormani, Yehia A. Al-Sohbani
This study provides a comprehensive analysis of artificial intelligence (AI) contribution to research in the translation industry (ACTI), synthesizing it over forty-five years from…