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Vocal development in a large-scale crosslinguistic corpus.

Publication ,  Journal Article
Cychosz, M; Cristia, A; Bergelson, E; Casillas, M; Baudet, G; Warlaumont, AS; Scaff, C; Yankowitz, L; Seidl, A
Published in: Developmental science
September 2021

This study evaluates whether early vocalizations develop in similar ways in children across diverse cultural contexts. We analyze data from daylong audio recordings of 49 children (1-36 months) from five different language/cultural backgrounds. Citizen scientists annotated these recordings to determine if child vocalizations contained canonical transitions or not (e.g., "ba" vs. "ee"). Results revealed that the proportion of clips reported to contain canonical transitions increased with age. Furthermore, this proportion exceeded 0.15 by around 7 months, replicating and extending previous findings on canonical vocalization development but using data from the natural environments of a culturally and linguistically diverse sample. This work explores how crowdsourcing can be used to annotate corpora, helping establish developmental milestones relevant to multiple languages and cultures. Lower inter-annotator reliability on the crowdsourcing platform, relative to more traditional in-lab expert annotators, means that a larger number of unique annotators and/or annotations are required, and that crowdsourcing may not be a suitable method for more fine-grained annotation decisions. Audio clips used for this project are compiled into a large-scale infant vocalization corpus that is available for other researchers to use in future work.

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Published In

Developmental science

DOI

EISSN

1467-7687

ISSN

1363-755X

Publication Date

September 2021

Volume

24

Issue

5

Start / End Page

e13090

Related Subject Headings

  • Reproducibility of Results
  • Language Development
  • Language
  • Infant
  • Humans
  • Developmental & Child Psychology
  • Child
  • 5204 Cognitive and computational psychology
  • 5202 Biological psychology
  • 5201 Applied and developmental psychology
 

Citation

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Cychosz, M., Cristia, A., Bergelson, E., Casillas, M., Baudet, G., Warlaumont, A. S., … Seidl, A. (2021). Vocal development in a large-scale crosslinguistic corpus. Developmental Science, 24(5), e13090. https://doi.org/10.1111/desc.13090
Cychosz, Margaret, Alejandrina Cristia, Elika Bergelson, Marisa Casillas, Gladys Baudet, Anne S. Warlaumont, Camila Scaff, Lisa Yankowitz, and Amanda Seidl. “Vocal development in a large-scale crosslinguistic corpus.Developmental Science 24, no. 5 (September 2021): e13090. https://doi.org/10.1111/desc.13090.
Cychosz M, Cristia A, Bergelson E, Casillas M, Baudet G, Warlaumont AS, et al. Vocal development in a large-scale crosslinguistic corpus. Developmental science. 2021 Sep;24(5):e13090.
Cychosz, Margaret, et al. “Vocal development in a large-scale crosslinguistic corpus.Developmental Science, vol. 24, no. 5, Sept. 2021, p. e13090. Epmc, doi:10.1111/desc.13090.
Cychosz M, Cristia A, Bergelson E, Casillas M, Baudet G, Warlaumont AS, Scaff C, Yankowitz L, Seidl A. Vocal development in a large-scale crosslinguistic corpus. Developmental science. 2021 Sep;24(5):e13090.
Journal cover image

Published In

Developmental science

DOI

EISSN

1467-7687

ISSN

1363-755X

Publication Date

September 2021

Volume

24

Issue

5

Start / End Page

e13090

Related Subject Headings

  • Reproducibility of Results
  • Language Development
  • Language
  • Infant
  • Humans
  • Developmental & Child Psychology
  • Child
  • 5204 Cognitive and computational psychology
  • 5202 Biological psychology
  • 5201 Applied and developmental psychology