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Vocal development in a large‐scale crosslinguistic corpus
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In: ISSN: 1363-755X ; EISSN: 1467-7687 ; Developmental Science ; https://hal.archives-ouvertes.fr/hal-03498978 ; Developmental Science, Wiley, 2021, 24 (5), ⟨10.1111/desc.13090⟩ (2021)
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Listeners can use coarticulation cues to predict an upcoming novel word
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In: Proceedings of the Annual Meeting of the Cognitive Science Society, vol 43, iss 43 (2021)
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Child-directed Listening: How Caregiver Inference Enables Children's Early Verbal Communication
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In: Proceedings of the Annual Meeting of the Cognitive Science Society, vol 43, iss 43 (2021)
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Child-directed Listening: How Caregiver Inference Enables Children's Early Verbal Communication ...
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Child-directed Listening: How Caregiver Inference Enables Children's Early Verbal Communication.
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Vocal development in a large-scale crosslinguistic corpus.
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Cychosz, Margaret; Scaff, Camila; Warlaumont, Anne S; Casillas, Marisa; Seidl, Amanda; Bergelson, Elika; Baudet, Gladys; Cristia, Alejandrina; Yankowitz, Lisa. - : Wiley, 2021
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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.
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Keyword:
babbling; crosslinguistic; crowdsourcing; infants; naturalistic recording; speech; vocal development
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URL: https://hdl.handle.net/10161/22274
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Developing a Cross-Cultural Annotation System and MetaCorpus for Studying Infants’ Real World Language Experience
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Quantifying Sources of Variability in Infancy Research Using the Infant-Directed-Speech Preference
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Listeners can use coarticulation cues to predict an upcoming novel word ...
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A thorough evaluation of the Language Environment Analysis (LENA) system
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In: Behav Res Methods (2021)
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Quantifying Sources of Variability in Infancy Research Using the Infant-Directed-Speech Preference
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In: ISSN: 2515-2459 ; EISSN: 2515-2467 ; Advances in Methods and Practices in Psychological Science ; https://hal-univ-rennes1.archives-ouvertes.fr/hal-02509817 ; Advances in Methods and Practices in Psychological Science, [Thousand Oaks]: [SAGE Publications], 2020, 3 (1), pp.24-52. ⟨10.1177/2515245919900809⟩ (2020)
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A thorough evaluation of the Language Environment Analysis (LENATM) system
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In: ISSN: 1554-351X ; EISSN: 1554-3528 ; Behavior Research Methods ; https://hal.archives-ouvertes.fr/hal-02989519 ; Behavior Research Methods, Psychonomic Society, Inc, 2020, ⟨10.31219/osf.io/mxr8s⟩ (2020)
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A thorough evaluation of the Language Environment Analysis (LENA) system
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In: ISSN: 1554-351X ; EISSN: 1554-3528 ; Behavior Research Methods ; https://hal.archives-ouvertes.fr/hal-03095997 ; Behavior Research Methods, Psychonomic Society, Inc, 2020, 53 (2), pp.467-486. ⟨10.3758/s13428-020-01393-5⟩ (2020)
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Quantifying Sources of Variability in Infancy Research Using the Infant-Directed-Speech Preference
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In: ADVANCES IN METHODS AND PRACTICES IN PSYCHOLOGICAL SCIENCE, vol 3, iss 1 (2020)
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Day by day, hour by hour: Naturalistic language input to infants.
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Mothers' Work Status and 17-month-olds' Productive Vocabulary.
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Accuracy of the Language Environment Analysis System Segmentation and Metrics: A Systematic Review.
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Point, walk, talk: Links between three early milestones, from observation and parental report.
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Look who's talking: A comparison of automated and human-generated speaker tags in naturalistic day-long recordings.
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