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Talk2Me: Automated linguistic data collection for personal assessment
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 p...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6436678/ https://www.ncbi.nlm.nih.gov/pubmed/30917120 http://dx.doi.org/10.1371/journal.pone.0212342 |
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author | Komeili, Majid Pou-Prom, Chloé Liaqat, Daniyal Fraser, Kathleen C. Yancheva, Maria Rudzicz, Frank |
author_facet | Komeili, Majid Pou-Prom, Chloé Liaqat, Daniyal Fraser, Kathleen C. Yancheva, Maria Rudzicz, Frank |
author_sort | Komeili, Majid |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6436678 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-64366782019-04-12 Talk2Me: Automated linguistic data collection for personal assessment Komeili, Majid Pou-Prom, Chloé Liaqat, Daniyal Fraser, Kathleen C. Yancheva, Maria Rudzicz, Frank PLoS One Research Article 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. Public Library of Science 2019-03-27 /pmc/articles/PMC6436678/ /pubmed/30917120 http://dx.doi.org/10.1371/journal.pone.0212342 Text en © 2019 Komeili et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Komeili, Majid Pou-Prom, Chloé Liaqat, Daniyal Fraser, Kathleen C. Yancheva, Maria Rudzicz, Frank Talk2Me: Automated linguistic data collection for personal assessment |
title | Talk2Me: Automated linguistic data collection for personal assessment |
title_full | Talk2Me: Automated linguistic data collection for personal assessment |
title_fullStr | Talk2Me: Automated linguistic data collection for personal assessment |
title_full_unstemmed | Talk2Me: Automated linguistic data collection for personal assessment |
title_short | Talk2Me: Automated linguistic data collection for personal assessment |
title_sort | talk2me: automated linguistic data collection for personal assessment |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6436678/ https://www.ncbi.nlm.nih.gov/pubmed/30917120 http://dx.doi.org/10.1371/journal.pone.0212342 |
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