Advancing arabic dialect detection with hybrid stacked transformer models
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DOI: 10.3389/fnhum.2025.1498297
Abstract: The rapid expansion of dialectally unique Arabic material on social media and the internet highlights how important it is to categorize dialects accurately to maximize a variety of Natural Language Processing (NLP) applications. The improvement… read more here.
Keywords: stacking model; nlp applications; transformer models; performance ... See more keywords