15 papers
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…