This workshop summary on natural language processing (NLP) markers for psychosis and
other psychiatric disorders presents some of the clinical and research issues that NLP …

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 …

Background Although clozapine is an effective option for treatment-resistant schizophrenia
(TRS), there are still 1/3 to 1/2 of TRS patients who do not respond to clozapine. The main …

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

Schizophrenia (SZ) detection enables effective treatment to improve the clinical outcome,
but objective and reliable SZ diagnostics are still limited. An ideal diagnosis of SZ suited for …

Introduction Language disorders–disorganized and incoherent speech in particular-are
distinctive features of schizophrenia. Natural language processing (NLP) offers automated …

Abstract Language deviations are a core symptom of schizophrenia. With the advances in
computational linguistics, language can be easily assessed in exact and reproducible …

Abstract Language disturbances are key aberrations in schizophrenia. Little is known about
the influence of antipsychotic medication on these symptoms. Using computational …

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

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 …