This work analyzes the speech of 4 schizophrenic patients (Dovetto, Gemelli 2013) according to L-AcT (Cresti 2000; Cresti, Moneglia 2005; Moneglia, Raso 2014) and investigates their atypia compared to non-pathological speech. Through the text-sound alignment and the utterances identification, specific linguistic measures (MLU, Informational complexity and disfluency phenomena such as retracing and pauses) has been derived, revealing common features of schizophrenic patients. Results provide some insights on the monotony of pathological speech, such as scarce information structure and fluency reduction.

Segmentazione in enunciati del parlato schizofrenico e correlati della patologia nel parlato spontaneo / Massimo Moneglia; Emanuela Cresti; Lorenzo Gregori; Valentina Saccone; Simona Trillocco. - STAMPA. - 8:(2023), pp. 351-375.

Segmentazione in enunciati del parlato schizofrenico e correlati della patologia nel parlato spontaneo.

Massimo Moneglia
;
Emanuela Cresti;Lorenzo Gregori;Valentina Saccone;Simona Trillocco
2023

Abstract

This work analyzes the speech of 4 schizophrenic patients (Dovetto, Gemelli 2013) according to L-AcT (Cresti 2000; Cresti, Moneglia 2005; Moneglia, Raso 2014) and investigates their atypia compared to non-pathological speech. Through the text-sound alignment and the utterances identification, specific linguistic measures (MLU, Informational complexity and disfluency phenomena such as retracing and pauses) has been derived, revealing common features of schizophrenic patients. Results provide some insights on the monotony of pathological speech, such as scarce information structure and fluency reduction.
2023
979-12-218-1165-0
Lingua e patologia. Parole dentro parole fuori
351
375
Massimo Moneglia; Emanuela Cresti; Lorenzo Gregori; Valentina Saccone; Simona Trillocco
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1424274
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