HuMenDisCo: A Hungarian Speech Corpus of Schizophrenia, Schizoaffective and Bipolar Disorders-Reference-Cited by-同舟云学术

HuMenDisCo: A Hungarian Speech Corpus of Schizophrenia, Schizoaffective and Bipolar Disorders

Published:2023-02-27 Issue: Volume: Page:
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Author:

Szabó Martina Katalin¹,Vincze Veronika²,Guba Csenge³,Dam Bernadett⁴,Solymos Adrienn⁵,Bagi Anita⁵,Szendi István⁶

Affiliation:

1. Institute of Global Studies, Tokyo University of Foreign Studies

2. ELKH-SZTE Research Group on Artificial Intelligence

3. Doctoral School of Linguistics, University of Szeged

4. Department of General Linguistics, University of Szeged

5. Department of Hungarian Linguistics, University of Szeged

6. Psychiatry Unit, Kiskunhalas Semmelweis Hospital, University Teaching Hospital

Abstract

AbstractHere we present a Hungarian corpus of spontaneous speech texts produced by patients with schizophrenia, schizoaffective or bipolar disorder, as well as those of healthy controls. Recordings which were later transcribed were produced in three different directed spontaneous speech tasks in a clinical environment. The survey was carried out involving 90 subjects and 526 texts were produced. Then, the collected recordings were manually transcribed by our research group. The written corpus texts were processed with a set of Natural Language Processing methods and tools. The final corpus consists of 158,386 tokens all together, without punctuation. During the data processing procedure, we also applied specific lexicons to enable us to examine linguistic intensification in the case of mental disorders. The dataset can be utilized in several related research tasks, like semantic-pragmatic analyses and in the automatic discrimination of the patients and the controls using our linguistic features.

Publisher

Research Square Platform LLC

Reference57 articles.

1. On the subjectivity of intensifiers;Athanasiadou A;Language sciences,2007

2. Bagi, A., Gosztolya, G., Szalóki, S., Szendi, I., & Hoffmann, I. (2019). Szkizofrénia azonosítása spontán beszéd temporális paraméterei alapján – egy pilot kutatás eredményei [Identifying schizophrenia based on temporal parameters in spontaneous speech – Results of a pilot study]. In B. Gábor, G. Gábor, & V. Veronika (Eds.), XV. Magyar Számítógépes Nyelvészeti Konferencia, pp. 189–201. Szegedi Tudományegyetem, Informatikai Intézet.

3. The etiology of schizophrenia and the origin of language: overview of a theory;Berlim MT;Comprehensive psychiatry,2003

4. Bickerton, D. (1990). Language and Species. Chicago, IL: University of Chicago.

5. Bickerton, D. (1995). Language and Human Behaviour. Seattle, WA: University of Washington.