Reformulating NLP tasks to Capture Longitudinal Manifestation of Language Disorders in People with Dementia

Dementia is a neuro-degenerative disease affecting Early work in NLP for dementia relied on manual millions worldwide and is associated with cognitive engineered features based on specific lexical, decline, including language impairment (Forbes-acoustic and syntactic features stemming from description McKay and Venneri, 2005). Language dysfunction tasks (such as CTP), to detect linguistic may be difficult to detect in the early stages of dementia signs of cognitive decline (Fraser et al., 2016; Beltrami (Nestor et al., 2004); however, as the disease et al., 2018; Yeung et al., 2021). Recent progresses, a gradual decline of semantic knowledge work uses naive neural approaches to classify and ensues, and eventually, all linguistic functions analyse linguistic and acoustic characteristics so can be lost (Tang-Wai and Graham, 2008; Klimova as to either predict cognitive scores or achieve binary et al., 2015). Recognizing language disorders as classification of participants (Alzheimer's Disease prodromal symptoms in people with dementia may (AD) vs non-AD) (Karlekar et al., 2018; Balagopalan help with earlier diagnosis and improve disease et al., 2020; Nasreen et al., 2021b; Rohanian management.