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Four Decades of Open Language Science: The CHILDES Project

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Title: Four Decades of Open Language Science: The CHILDES Project
Language: English
Authors: Vera Kempe (ORCID 0000-0001-5649-4351), Patricia J. Brooks (ORCID 0000-0001-8030-8811), Steven Gillis (ORCID 0000-0002-2067-0576)
Source: Language Teaching Research Quarterly. 2024 44:15-30.
Availability: European Knowledge Development (EUROKD). e-mail: editorial@eurokd.com; Web site: https://www.eurokd.com/journal/jd/1
Peer Reviewed: Y
Page Count: 16
Publication Date: 2024
Document Type: Journal Articles
Reports - Descriptive
Descriptors: Databases, Child Language, Language Acquisition, Language Research, Developmental Psychology, Program Descriptions, Contrastive Linguistics, Computational Linguistics, Computer Software, Artificial Intelligence, Audio Equipment, Video Technology, Transcripts (Written Records)
ISSN: 2667-6753
Abstract: The Child Language Data Exchange System (CHILDES), created by Brain MacWhinney and Catherine Snow in 1984, is one of the earliest Open Science and data sharing initiatives in child language development research, and probably in developmental psychology and the behavioral sciences more generally. It is the cornerstone of TalkBank--a repository of transcripts, audio, and video files of natural language samples. Here we highlight how the CHILDES Project served as a trailblazer for the language development research community by being the first initiative to introduce a Big Data approach, encouraging and facilitating crosslinguistic data collection and championing science collaboration through open access to data and analysis tools. We conclude with an outlook on the future of CHILDES and suggestions for where child language development researchers might turn their attention when collecting and donating observational data. Understanding the many paths to language will require expanding CHILDES to increase representation of culturally and neurally diverse populations, finding solutions to the challenge of promoting Open Science practices while safeguarding participant agency and privacy, and leveraging AI tools for automated transcription and data analysis.
Abstractor: As Provided
Entry Date: 2025
Accession Number: EJ1457358
Database: ERIC
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  Data: Four Decades of Open Language Science: The CHILDES Project
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  Data: <searchLink fieldCode="AR" term="%22Vera+Kempe%22">Vera Kempe</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0001-5649-4351">0000-0001-5649-4351</externalLink>)<br /><searchLink fieldCode="AR" term="%22Patricia+J%2E+Brooks%22">Patricia J. Brooks</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0001-8030-8811">0000-0001-8030-8811</externalLink>)<br /><searchLink fieldCode="AR" term="%22Steven+Gillis%22">Steven Gillis</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0002-2067-0576">0000-0002-2067-0576</externalLink>)
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  Data: <searchLink fieldCode="SO" term="%22Language+Teaching+Research+Quarterly%22"><i>Language Teaching Research Quarterly</i></searchLink>. 2024 44:15-30.
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  Data: European Knowledge Development (EUROKD). e-mail: editorial@eurokd.com; Web site: https://www.eurokd.com/journal/jd/1
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  Data: 16
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  Data: The Child Language Data Exchange System (CHILDES), created by Brain MacWhinney and Catherine Snow in 1984, is one of the earliest Open Science and data sharing initiatives in child language development research, and probably in developmental psychology and the behavioral sciences more generally. It is the cornerstone of TalkBank--a repository of transcripts, audio, and video files of natural language samples. Here we highlight how the CHILDES Project served as a trailblazer for the language development research community by being the first initiative to introduce a Big Data approach, encouraging and facilitating crosslinguistic data collection and championing science collaboration through open access to data and analysis tools. We conclude with an outlook on the future of CHILDES and suggestions for where child language development researchers might turn their attention when collecting and donating observational data. Understanding the many paths to language will require expanding CHILDES to increase representation of culturally and neurally diverse populations, finding solutions to the challenge of promoting Open Science practices while safeguarding participant agency and privacy, and leveraging AI tools for automated transcription and data analysis.
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  Data: 2025
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      – Text: English
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        PageCount: 16
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      – SubjectFull: Databases
        Type: general
      – SubjectFull: Child Language
        Type: general
      – SubjectFull: Language Acquisition
        Type: general
      – SubjectFull: Language Research
        Type: general
      – SubjectFull: Developmental Psychology
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      – SubjectFull: Program Descriptions
        Type: general
      – SubjectFull: Contrastive Linguistics
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      – SubjectFull: Computational Linguistics
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      – SubjectFull: Computer Software
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      – SubjectFull: Artificial Intelligence
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      – SubjectFull: Audio Equipment
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      – SubjectFull: Transcripts (Written Records)
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      – TitleFull: Four Decades of Open Language Science: The CHILDES Project
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              Y: 2024
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