The exploration shows token inflation in Arabic models, suggesting root pattern tensor subspaces improve structural integrity.
In our paper, we explore the limitations of byte pair encoding (BPE) in Arabic language models, revealing significant token inflation and a failure to preserve morphological relationships. We introduce root pattern tensor subspaces (RPTS) as a more efficient and linguistically informed alternative, achieving a remarkable reduction in embedding parameters while maintaining structural integrity.
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Salhi arselen (2026) studied this question.
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