@inproceedings{beltrami-etal-2016-automatic,
title = "Automatic identification of Mild Cognitive Impairment through the analysis of {I}talian spontaneous speech productions",
author = "Beltrami, Daniela and
Calz{\`a}, Laura and
Gagliardi, Gloria and
Ghidoni, Enrico and
Marcello, Norina and
Favretti, Rema Rossini and
Tamburini, Fabio",
booktitle = "Proceedings of the Tenth International Conference on Language Resources and Evaluation ({LREC}'16)",
month = may,
year = "2016",
address = "Portoro{\v{z}}, Slovenia",
publisher = "European Language Resources Association (ELRA)",
url = "https://aclanthology.org/L16-1331",
pages = "2086--2093",
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.",
}
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<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.</abstract>
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%0 Conference Proceedings
%T Automatic identification of Mild Cognitive Impairment through the analysis of Italian spontaneous speech productions
%A Beltrami, Daniela
%A Calzà, Laura
%A Gagliardi, Gloria
%A Ghidoni, Enrico
%A Marcello, Norina
%A Favretti, Rema Rossini
%A Tamburini, Fabio
%S Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC’16)
%D 2016
%8 may
%I European Language Resources Association (ELRA)
%C Portorož, Slovenia
%F beltrami-etal-2016-automatic
%X 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.
%U https://aclanthology.org/L16-1331
%P 2086-2093
Markdown (Informal)
[Automatic identification of Mild Cognitive Impairment through the analysis of Italian spontaneous speech productions](https://aclanthology.org/L16-1331) (Beltrami et al., LREC 2016)
ACL