ArticlePloS one2019
Talk2Me: Automated linguistic data collection for personal assessment.
Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 10 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
10 citing papers in PubMed.
- Feasibility of computerized motor, cognitive and speech tests in the home: Analysis of TAS Test in 2,300 older adults.The journal of prevention of Alzheimer's disease · 2025Article
- A speech-based prognostic model for dysarthria progression in ALS.Amyotrophic lateral sclerosis & frontotemporal degeneration · 2023Article
- Performance of machine learning algorithms for dementia assessment: impacts of language tasks, recording media, and modalities.BMC medical informatics and decision making · 2023Article
- Exploring the Use of Natural Language Processing for Objective Assessment of Disorganized Speech in Schizophrenia.Psychiatric research and clinical practice · 2023Article
- Island Study Linking Aging and Neurodegenerative Disease (ISLAND) Targeting Dementia Risk Reduction: Protocol for a Prospective Web-Based Cohort Study.JMIR research protocols · 2022Article
- Automated semantic relevance as an indicator of cognitive decline: Out-of-sample validation on a large-scale longitudinal dataset.Alzheimer's & dementia (Amsterdam, Netherlands) · 2022Article
- Words describing feelings about death: A comparison of sentiment for self and others and changes over time.PloS one · 2021Article
- Detection of Mild Cognitive Impairment Through Natural Language and Touchscreen Typing Processing.Frontiers in digital health · 2020Article
- Article
- Repeatability of Commonly Used Speech and Language Features for Clinical Applications.Digital biomarkersArticle
Corrections and comments
- Erratum issued
Authors and funding
6 authors.
Funding
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.