ALTRALANG Journal
Volume 8, Numéro 1, Pages 199-217
2026-06-05
Beyond The Mainstream Of Ai: Empowering Nlp Models To Decipher Non-canonical Morphological Processes In Cmc Discourse At Algeria
Authors : Berrabah Ali . Doulate Serouri Hamida . Hamidi Mustafa .
Abstract
The proliferation of Computer-Mediated Communication (CMC) and the advent of social networking sites since the late 1980s and beyond have ignited a captivating realm where technology, communication, and culture intertwine, offering a fertile ground for Natural Language Processing (NLP) to delve into linguistic data. Due to the linguistic mosaic and/or the complex linguistic melting pot in the Algerian Speech Repertoire, new informal-written styles, non-standardised syntactic patterns, and non-normative morphological processes have appeared in CMC discourse. The paper explores the challenges posed by current AI-driven NLP models to decode the non-canonical morphological processes in CMC discourse in Algeria. The ultimate objectives are to assess the in/effectiveness of current AI-driven NLP models in analysing such linguistic practices and mainly to suggest potential improvements or viable solutions to overcome any obstacles or limitations encountered during the analysis. In a mixed-method research paradigm, 6 interviews were conducted with MA2 linguistic-dissertations supervisors together with a questionnaire directed to 24 MA2 students of linguistics in the Department of English at Ibn Khaldoun University of Tiaret, was employed to gather comprehensive insights from both informants and respondents regarding their experiences, perceptions, and suggestions related to the analysis of the non-canonical morphological processes in CMC in Algeria via current AI-driven NLP models. Besides, the study incorporated the Content Analysis Approach (CAA) to analyse such processes in the examples provided by the informants. Our findings demonstrate sparsity in current AI-driven NLP models, which still create suffering for researchers who have dared to deconstruct those non-canonical morphological processes. Therefore, it is recommended that researchers in the linguistic sphere collaborate with those in the computing sciences fieldwork to create non-canonical-text-based software packages to effectively analyse the non-standardized morphological processes in CMC discourse in the Algerian context.
Keywords
Artificial Intelligence (AI) ; Computer-Mediated Communication Discourse (CMCD) ; the Algerian Speech Repertoire ; Natural Language Processing (NLP) ; Non-Canonical Morphological Processes
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