This article discusses the increasing importance of computational methods for language assessment in clinical populations with neurocognitive disorders. It highlights the use of artificial intelligence, machine learning, natural language processing, and signal processing in providing objective and reliable indicators of speech and language functioning. The article also calls for submissions for a Special Issue on this topic, aiming to advance research in computational neurocognitive and neurolinguistic assessment.
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