A Year of Nouns From English-learning Infants’ Daily Lives: the SEEDLingS-Nouns

This paper describes a dataset consisting of manually annotated nouns from a corpus of longitudinal day-long audio and hour-long video recordings collected monthly from 44 babies from age 6 months to age 17 months. This dataset was created as part of a larger project, called SEEDLingS, that examines the development of iinfants’ language comprehension before and after their first birthday, from earliest comprehension to the early days of word produc tion. This paper provides an overviewof the corpus, describes how and why the nouns from the corpus were annotated, and discusses considerations for reuse of this dataset for future work. The described annotations and relevant metadata are publicly available alongside this manuscript.

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Publication Details

Published
2025-08-31
DOI
https://doi.org/10.31234/osf.io/3a487_v1
Primary Topic
Linguistic Studies and Language Acquisition
Type
article
Field-Weighted Citation Impact
0.00

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article

A Year of Nouns From English-learning Infants’ Daily Lives: the SEEDLingS-Nouns

Andrei Amatuni, Hallie Garrison, Elika Bergelson, Federica Bulgarelli et al.
Linguistic Studies and Language Acquisition
article

A Year of Nouns From English-learning Infants’ Daily Lives: the SEEDLingS-Nouns

Andrei Amatuni, Hallie Garrison, Elika Bergelson, Federica Bulgarelli, Evgenii Kalenkovich, Catherine Laing, Gladys Baudet, Sharath Koorathota, Shaelise Tor, Charlotte E. Moore, Sarp Uner, Lillianna Righter, Shannon Egan-Dailey
article en

Abstract

This paper describes a dataset consisting of manually annotated nouns from a corpus of longitudinal day-long audio and hour-long video recordings collected monthly from 44 babies from age 6 months to age 17 months. This dataset was created as part of a larger project, called SEEDLingS, that examines the development of iinfants’ language comprehension before and after their first birthday, from earliest comprehension to the early days of word produc tion. This paper provides an overviewof the corpus, describes how and why the nouns from the corpus were annotated, and discusses considerations for reuse of this dataset for future work. The described annotations and relevant metadata are publicly available alongside this manuscript.

Duke University (US), Harvard University Press (US)
National Institutes of Health
Openalex Percentile: Top 88%
Linguistic Studies and Language Acquisition
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A Year of Nouns From English-learning Infants’ Daily Lives: the SEEDLingS-Nouns — Andrei Amatuni, Hallie Garrison, et al. · (2025) | TGRS Research Map | TGRS