Vocal Development in a Large-Scale Crosslinguistic Corpus

Autor/inn/en	Cychosz, Margaret; Cristia, Alejandrina; Bergelson, Elika; Casillas, Marisa; Baudet, Gladys; Warlaumont, Anne S.; Scaff, Camila; Yankowitz, Lisa; Seidl, Amanda
Titel	Vocal Development in a Large-Scale Crosslinguistic Corpus
Quelle	In: Developmental Science, 24 (2021) 5, (22 Seiten) PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Cychosz, Margaret) ORCID (Cristia, Alejandrina) ORCID (Bergelson, Elika) ORCID (Casillas, Marisa) ORCID (Warlaumont, Anne S.) ORCID (Scaff, Camila) ORCID (Yankowitz, Lisa)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1467-7687
DOI	10.1111/desc.13090
Schlagwörter	Cultural Context; Contrastive Linguistics; Audio Equipment; Cultural Differences; Child Language; Age Differences; Computational Linguistics; Interrater Reliability; Computer Software; Second Languages; Developmental Stages; Language Acquisition; Decision Making + Suchen Sie Ihr Suchwort? Linguistics; Kontrastive Linguistik; Audio-CD; Kultureller Unterschied; 'Children''s language'; Kindersprache; Age; Difference; Age difference; Altersunterschied; Computerlinguistik; Interrater-Reliabilität; Second language; Zweitsprache; Sprachaneignung; Spracherwerb; Decision-making; Entscheidungsfindung
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" 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. (As Provided).
Anmerkungen	Wiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: cs-journals@wiley.com; Web site: https://www.wiley.com/en-us
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01