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Talk2Me: Automated linguistic data collection for personal assessment

Authors :
Majid Komeili
Frank Rudzicz
Daniyal Liaqat
Kathleen C. Fraser
Chloe Pou-Prom
Maria Yancheva
Greatorex Riches, Nicholas
Source :
PLoS ONE, PLoS ONE, Vol 14, Iss 3, p e0212342 (2019)
Publication Year :
2019
Publisher :
Public Library of Science, 2019.

Abstract

Language is one the earliest capacities affected by cognitive change. To monitor that change longitudinally, we have developed a web portal for remote linguistic data acquisition, called Talk2Me, consisting of a variety of tasks. In order to facilitate research in different aspects of language, we provide baselines including the relations between different scoring functions within and across tasks. These data can be used to augment studies that require a normative model; for example, we provide baseline classification results in identifying dementia. These data are released publicly along with a comprehensive open-source package for extracting approximately two thousand lexico-syntactic, acoustic, and semantic features. This package can be applied arbitrarily to studies that include linguistic data. To our knowledge, this is the most comprehensive publicly available software for extracting linguistic features. The software includes scoring functions for different tasks.

Details

Language :
English
ISSN :
19326203
Volume :
14
Issue :
3
Database :
OpenAIRE
Journal :
PLoS ONE
Accession number :
edsair.doi.dedup.....4a79e5b82e027bbd7f1045bbe5195731