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Elika Bergelson Psychology Harvard University elika_bergelson@fas.harvard.edu |
| Participants: | 44 |
| Recordings: | 4443 |
| Type of Study: | naturalistic |
| Location: | USA |
| Media type: | audio |
| DOI: | doi:10.21415/T5PK6D |
Bergelson E, Amatuni A, Dailey S, Koorathota S, Tor S. (2018). Day by day, hour by hour: Naturalistic language input to infants. Developmental Science, e12715. doi: 10.1111/desc.12715
Bergelson, Elika & N. Aslin, Richard. (2017). Nature and origins of the lexicon in 6-mo-olds. Proceedings of the National Academy of Sciences, 114, 201712966. doi: 10.1073/pnas.1712966114
Kalenkovich, E., Koorathota, S., Tor, S., Amatuni, A., Egan-Dailey, S., Moore, C., Laing, C., Garrison, H., Baudet, G., Bulgarelli, F., Uner, S., Righter, L., & Bergelson, E. (2025). A year of nouns from English-learning infants’ daily lives: The SEEDLingS-Nouns dataset. Behavior Research Methods, 57(11), 298. doi:10.3758/s13428-025-02826-9
Bergelson, Elika (2017). Bergelson Seedlings HomeBank Corpus. doi:10.21415/T5PK6D
In accordance with TalkBank rules, any use of data from this corpus must be accompanied by at least one of the above references. Where enough space is available, please cite both a paper and the corpus, to direct audiences both to the publication and to where they can locate the dataset. Where space is limited, please prioritize citation of one of the journal articles.
These were recordings generated in the home every month for a set of 44 infants, from 6-18 months of age (and some pilots). This corpus includes day-long home audio recordings, hour-long home video recordings, and in-lab eyetracking data. The audio recordings are shared here. Videos and audios are also available to Databrary members:
Infants in this sample are from the Rochester, New York area. The sample is generally middle class, with a range of income and an above-average maternal education level. The sample is predominantly Caucasian. All infants heard majority English at home (>75%) and had no known vision or hearing issues at birth. These data were collected at the University of Rochester, analyzed at Duke University starting summer 2016, and will continue to live and be analyzed at Harvard Universty starting July 2023.
Further details of the project are available on our website, wiki, and github repo. Please contact Elika Bergelson directly to discuss further aspects of the sample design, annotation, and analysis (elika_bergelson@fas.harvard.edu).
This corpus was collected by Elika Bergelson with the unflagging help of Sharath Koorathota, Shaelise Tor, Shannon Dailey, Josh Schneider, and Andrei Amatuni. We would also like to acknowledge help and guidance from Richard Aslin and Holly Palmeri. Finally, the wonderful RAs who helped annotate the first pass through this data in Rochester are Bella Clemente, Tessa Eagle, Jayde Homer, Valerie Langlois, Dustyn Levenson, Ashwini Manjunatha, Sarah Markowitz, Leah Nason, Adina Poras, Alexandra Rickwood, Haley Weaver, and Sophie Werk.