Author

Mohammed Q. Shormani

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Preprint Aug 2026

Does Machine"know"interpersonal pragmatics? Evidence from MARBERT's learning of emoji pragmatics in Arabic digital discourse

Transformer-based models learn patterns of face management and relational communication but remain challenged by highly implicit social meanings, contributing a novel computational approach to modeling emoji pragmatics and advances the integration of interpersonal pragmatics with NLP for digital communication research.

Mohammed Q. Shormani · 2 citations · ⚡1

#natural language process... Preprint Sep 2026

Domain-specific Pretraining Profile and Transformer Performance: Evidence from Modeling Digital Pragmatics in Arabic-English Code-switching

It is concluded that Transformer performance depends more on DSPP than multilingual coverage alone, as the latter does not guarantee optimal performance on a highly specialized pragmatic classification task.

Fahad Saud Al Hussen, King Saud University, Riyadh et al. · 0 citations

Preprint Aug 2026

Machine learning and digital pragmatics: Which word category influences emoji use most?

In digital pragmatics of CA on X, emoji use association with lexical/pragmatic category can be explained by a hybrid approach of computational, statistical, and pragmatic methods, reflecting the interaction among machine learning, linguistic/lexical features, contextual representation, and pragmatic communication.

Mohammed Q. Shormani, Yehia A. AlSohbani · 0 citations