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The Automatic Extraction of Linguistic Biomarkers as a Viable Solution for the Early Diagnosis of Mental Disorders
Digital Linguistic Biomarkers extracted from spontaneous language productions proved to be very useful for the early detection of various mental disorders.
Extraction and Classification of Acoustic Features from Italian Speaking Children with Autism Spectrum Disorders.
Autism Spectrum Disorders (ASD) are a group of complex developmental conditions whose effects and severity show high intraindividual variability.
Automatic identification of Mild Cognitive Impairment through the analysis of Italian spontaneous speech productions
This paper presents some preliminary results of the OPLON project.
The IMAGACT Visual Ontology. An Extendable Multilingual Infrastructure for the representation of lexical encoding of Action
IMAGACT makes explicit the variation of meaning of action verbs within one language and allows comparisons of verb variations within and across languages.
The IMAGACT Cross-linguistic Ontology of Action. A new infrastructure for natural language disambiguation
This is a consequence of the peculiar way each natural language categorizes Action i. e. it is a consequence of semantic factors.
A topologic view of Topic and Focus marking in Italian
Regularities in position and level of prosodic prominences associated to patterns of Information Structure are identified for some Italian varieties.
