Automated extraction of quantitative linguistic features has the potential to predict objectively
the onset and progression of psychosis. These linguistic variables are often considered to …

Schizophrenia provides a quintessential disease model of how disturbances in the
molecular mechanisms of neurodevelopment lead to disruptions in the emergence of …

Computerized natural language processing (NLP) allows for objective and sensitive
detection of speech disturbance, a hallmark of schizophrenia spectrum disorders (SSD). We …

Abstract Language abnormalities are a core symptom of schizophrenia-spectrum disorders
and could serve as a potential diagnostic marker. Natural language processing enables …

Background Clinicians routinely use impressions of speech as an element of mental status
examination. In schizophrenia-spectrum disorders, descriptions of speech are used to …

Computational semantics, a branch of computational linguistics, involves automated
meaning analysis that relies on how words occur together in natural language. This offers a …

Abstract Language deficits are prevalent in psychotic illness, including its risk states, and are
related to marked impairment in functioning. It is therefore important to characterize …

In the clinical linguistics of schizophrenia, syntactic complexity has received much attention.
In this study, we address whether syntactic complexity deteriorates within the six months …

Automated language analysis of speech has been shown to distinguish healthy control (HC)
vs chronic schizophrenia (SZ) groups, yet the predictive power on first-episode psychosis …

Abstract Syntax, the grammatical structure of sentences, is a fundamental aspect of
language. It remains debated whether reduced syntactic complexity is unique to …