Back to Search
Start Over
Talk2Me: Automated linguistic data collection for personal assessment
- 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.
- Subjects :
- Computer science
Science
Cognitive Neuroscience
Social Sciences
Semantics
Alzheimer's Disease
030507 speech-language pathology & audiology
03 medical and health sciences
0302 clinical medicine
Text mining
Elderly
Mental Health and Psychiatry
Medicine and Health Sciences
Psychology
Speech
Syntax
Language
Cognitive Impairment
Grammar
Multidisciplinary
Data collection
Syntax (programming languages)
business.industry
Cognitive Neurology
Cognitive Psychology
Biology and Life Sciences
Neurodegenerative Diseases
Linguistics
Variety (linguistics)
Neurology
Age Groups
People and Places
Medicine
Cognitive Science
Dementia
Population Groupings
0305 other medical science
business
030217 neurology & neurosurgery
Research Article
Neuroscience
Subjects
Details
- Language :
- English
- ISSN :
- 19326203
- Volume :
- 14
- Issue :
- 3
- Database :
- OpenAIRE
- Journal :
- PLoS ONE
- Accession number :
- edsair.doi.dedup.....4a79e5b82e027bbd7f1045bbe5195731