Vocal development in a large-scale crosslinguistic corpus.
| dc.contributor.author | Cychosz, Margaret | |
| dc.contributor.author | Cristia, Alejandrina | |
| dc.contributor.author | Bergelson, Elika | |
| dc.contributor.author | Casillas, Marisa | |
| dc.contributor.author | Baudet, Gladys | |
| dc.contributor.author | Warlaumont, Anne S | |
| dc.contributor.author | Scaff, Camila | |
| dc.contributor.author | Yankowitz, Lisa | |
| dc.contributor.author | Seidl, Amanda | |
| dc.date.accessioned | 2021-02-01T14:23:59Z | |
| dc.date.available | 2021-02-01T14:23:59Z | |
| dc.date.issued | 2021-01-26 | |
| dc.date.updated | 2021-02-01T14:23:14Z | |
| dc.description.abstract | 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" versus "ee"). Results revealed that the proportion of clips reported to contain canonical transitions increased with age. Further, 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. | |
| dc.identifier.issn | 1363-755X | |
| dc.identifier.issn | 1467-7687 | |
| dc.identifier.uri | ||
| dc.language | eng | |
| dc.publisher | Wiley | |
| dc.relation.ispartof | Developmental science | |
| dc.relation.isversionof | 10.1111/desc.13090 | |
| dc.subject | babbling | |
| dc.subject | crosslinguistic | |
| dc.subject | crowdsourcing | |
| dc.subject | infants | |
| dc.subject | naturalistic recording | |
| dc.subject | speech | |
| dc.subject | vocal development | |
| dc.title | Vocal development in a large-scale crosslinguistic corpus. | |
| dc.type | Journal article | |
| duke.contributor.orcid | Bergelson, Elika|0000-0003-2742-4797 | |
| pubs.begin-page | e13090 | |
| pubs.organisational-group | Trinity College of Arts & Sciences | |
| pubs.organisational-group | Psychology and Neuroscience | |
| pubs.organisational-group | Duke Institute for Brain Sciences | |
| pubs.organisational-group | Head and Neck Surgery & Communication Sciences | |
| pubs.organisational-group | Duke | |
| pubs.organisational-group | University Institutes and Centers | |
| pubs.organisational-group | Institutes and Provost's Academic Units | |
| pubs.organisational-group | Clinical Science Departments | |
| pubs.organisational-group | School of Medicine | |
| pubs.publication-status | Published |
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