Transformer Language Models Reveal Distinct Patterns in Aphasia Subtypes and Recovery Trajectories
This study demonstrates that transformer-based language models, specifically GPT-2, can effectively distinguish between aphasia subtypes and track recovery trajectories by analyzing activation patterns in narrative speech, offering a scalable computational tool to complement clinical diagnostics.