Summary of the paper

Title Automatic identification of Mild Cognitive Impairment through the analysis of Italian spontaneous speech productions
Authors Daniela Beltrami, Laura Calzà, Gloria Gagliardi, Enrico Ghidoni, Norina Marcello, Rema Rossini Favretti and Fabio Tamburini
Abstract This paper presents some preliminary results of the OPLON project. It aimed at identifying early linguistic symptoms of cognitive decline in the elderly. This pilot study was conducted on a corpus composed of spontaneous speech sample collected from 39 subjects, who underwent a neuropsychological screening for visuo-spatial abilities, memory, language, executive functions and attention. A rich set of linguistic features was extracted from the digitalised utterances (at phonetic, suprasegmental, lexical, morphological and syntactic levels) and the statistical significance in pinpointing the pathological process was measured. Our results show remarkable trends for what concerns both the linguistic traits selection and the automatic classifiers building.
Topics Corpus (Creation, Annotation, etc.), Statistical and Machine Learning Methods, Other
Full paper Automatic identification of Mild Cognitive Impairment through the analysis of Italian spontaneous speech productions
Bibtex @InProceedings{BELTRAMI16.400,
  author = {Daniela Beltrami and Laura Calzà and Gloria Gagliardi and Enrico Ghidoni and Norina Marcello and Rema Rossini Favretti and Fabio Tamburini},
  title = {Automatic identification of Mild Cognitive Impairment through the analysis of Italian spontaneous speech productions},
  booktitle = {Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016)},
  year = {2016},
  month = {may},
  date = {23-28},
  location = {Portoro┼ż, Slovenia},
  editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Sara Goggi and Marko Grobelnik and Bente Maegaard and Joseph Mariani and Helene Mazo and Asuncion Moreno and Jan Odijk and Stelios Piperidis},
  publisher = {European Language Resources Association (ELRA)},
  address = {Paris, France},
  isbn = {978-2-9517408-9-1},
  language = {english}
 }
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