Speech in psychosis has long been ascribed as involving 'loosening of associations'. We
pursued the aim to elucidate its underlying cognitive mechanisms by analysing picture …

Natural language processing (NLP) tools are increasingly used to quantify semantic
anomalies in schizophrenia. Automatic speech recognition (ASR) technology, if robust …

Natural language processing (NLP) provides fast and accurate extraction of features related
to the language of schizophrenia. We utilized NLP methods to test the hypothesis that …

Schizophrenia is a common mental disease worldwide. To assist doctors in diagnosing
schizophrenia through objective biological indicators, an automatic detection method for …

The extraction of linguistic markers from social media posts, which are indicative of the onset
and course of mental disorders, offers great potential for mental healthcare. In the present …

Schizophrenia is characterised by a variety of symptoms, many of which are expressed
verbally. However, privacy concerns limit the possibility of collecting and sharing large …

We show how acoustic prosodic features, such as pitch and gaps, can be used
computationally for detecting symptoms of schizophrenia from a single spoken response …

Discourse abnormalities are a prominent feature in schizophrenia spectrum disorders,
including poor lexical diversity, and have been found to differentiate patients from healthy …

We present a study of the linguistic output of the German-speaking writer Robert Walser
using NLP. We curated a corpus comprising texts written by Walser during periods of sound …

The study aimed to define language-related phenotypes in schizophrenia and analyze
language in schizophrenia patients (SZ) and their unaffected siblings (SIB) as a possible …