Silences and disfluencies in a corpus of spoken Italian produced by patients with Alzheimer's Disease (CIPP-ma)

• Dovetto, Francesca ^[1] ; Coppola, Cinzia ^[2] ; Guida, Alessia ^[1] ; Pagliaro, Anna Chiara ^[1] ; Guarasci, Raffaele ^[3]
  1. [1] University of Naples Federico II

     University of Naples Federico II

     Nápoles, Italia

     
  2. [2] Second University of Naples

     Second University of Naples

     Caserta, Italia

     
  3. [3] ICAR-CNR, Naples

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• Localización: CHIMERA: Romance Corpora and Linguistic Studies, ISSN-e 2386-2629, Nº. 11, 2024, págs. 31-65
• Idioma: inglés
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• Resumen

  • The corpus of semi-spontaneous speech (CIPP-ma) produced by Italian subjects with Cognitive Impairment evolved in AD (divided on the basis of the MMSE score) had been analyzed to test the recurrence of disfluency phenomena in the patients' dialogues. Speech samples are based on two different tasks: picture description and semi-structured interview. The disfluencies annotated are word-related phenomena, verbal and non-verbal vocal phenomena, and silent pauses. The unit of analysis is identified by the XML tag "pause", a threshold was set to include pauses less than or greater than one second. Furthermore, an analysis focused on disfluency 'chains' (a cluster of several disfluent phenomena occurring in a sequence that constitutes a coherent unit within a turn) had been carried out, identifying all possible disfluency permutations. Our data confirmed the importance of silent pauses and disfluency chains as the discriminating cue between neurotypical and pathological, with particular differences related to tasks.