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John Bunce

Biographic Data

ID6893701
NAMEJohn Bunce
GIVEN NAMESJohn
FAMILY NAMEBunce
SIGNATUREBUNCE J
AFFILIATIONSUniversity of California, Merced
ORCID0000-0002-1654-1384
VERIFIEDYes
TOTAL WORKS7
TOTAL CITATIONS1
AUTHOR COUNT7
EDITOR COUNT0
FIRST PUBLICATION YEAR2017
LATEST PUBLICATION YEAR2026
H-INDEX1
  • Cross-Linguistic and Socioeconomic Differences in the Use of Variation Sets in Children’s Communicative Environments

    Open Access•Celia Renata Rosemberg, Florencia Alam et al.•ARTICLE•Journal of Child Language•2026

    This study examines variation sets (VS) – structured repetitions of words in different morphosyntactic contexts – in child-directed speech (CDS) compared to adult-directed speech (ADS) across two communities (Argentinian Spanish and North American English) and socioeconomic groups. Drawing on naturalistic recordings from 101 families, results show that VS are more frequent in CDS than in ADS. In Argentinian Spanish, they are more prevalent in mid…

  • A cross-linguistic examination of young children’s everyday language experiences

    Open Access•John Bunce, Melanie Soderstrom et al.•ARTICLE•Journal of Child Language•2025

    We present an exploratory cross-linguistic analysis of the quantity of target-child-directed speech and adult-directed speech in North American English (US & Canadian), United Kingdom English, Argentinian Spanish, Tseltal (Tenejapa, Mayan), and Yélî Dnye (Rossel Island, Papuan), using annotations from 69 children aged 2–36 months. Using a novel methodological approach, our cross-linguistic and cross-cultural findings support prior work suggesting…

  • A thorough evaluation of the Language Environment Analysis (Lena) system

    Open Access•Alejandrina Cristia, Marvin Lavechin et al.•ARTICLE•Behavior Research Methods•2020

  • Automatic word count estimation from daylong child-centered recordings in various language environments using language-independent syllabification of speech

    Okko Räsänen, Shreyas Seshadri et al.•PREPRINT•2019

    Automatic word count estimation (WCE) from audio recordings can be used to quantify the amount of verbal communication in a recording environment. One key application of WCE is to measure language input heard by infants and toddlers in their natural environments, as captured by daylong recordings from microphones worn by the infants. Although WCE is nearly trivial for high-quality signals in high-resource languages, daylong recordings are substan…

  • A thorough evaluation of the Language Environment Analysis (Lenatm) system

    Alejandrina Cristia, Marvin Lavechin et al.•PREPRINT•2019

    In the previous decade, dozens of studies involving thousands of children across several research disciplines have made use of a combined daylong audio-recorder and automated algorithmic analysis called the LENA^®^ system, which aims to assess children's language environment. While the system's prevalence in the language acquisition domain is steadily growing, there are only scattered validation efforts, on only some of its key characteristics. H…

  • Finding meaning in a noisy world: Exploring the effects of referential ambiguity and competition on 2·5-year-olds’ cross-situational word learning

    Open Access•John Bunce, JOHN P BUNCE et al.•ARTICLE•Journal of Child Language•2017

    While recent studies suggest children can use cross-situational information to learn words, these studies involved minimal referential ambiguity, and the cross-situational evidence overwhelmingly favored a single referent for each word. Here we asked whether 2·5-year-olds could identify a noun's referent when the scene and cross-situational evidence were more ambiguous. Children saw four trials in which a novel word occurred with four novel objec…

  • Connected: Facebook may facilitate face-to-face relationships for introverts

    Alexander Spradlin, Carrie Cuttler et al.•ARTICLE•Psychology of Popular Media Culture•2017•Cited by: 1

  • Connected: Facebook may facilitate face-to-face relationships for introverts

    Alexander Spradlin, Carrie Cuttler et al.•ARTICLE•Psychology of Popular Media Culture•2017•Cited by: 1

  • Finding meaning in a noisy world: Exploring the effects of referential ambiguity and competition on 2·5-year-olds’ cross-situational word learning

    Open Access•John Bunce, JOHN P BUNCE et al.•ARTICLE•Journal of Child Language•2017

    While recent studies suggest children can use cross-situational information to learn words, these studies involved minimal referential ambiguity, and the cross-situational evidence overwhelmingly favored a single referent for each word. Here we asked whether 2·5-year-olds could identify a noun's referent when the scene and cross-situational evidence were more ambiguous. Children saw four trials in which a novel word occurred with four novel objec…

  • Connected: Facebook may facilitate face-to-face relationships for introverts

    Alexander Spradlin, Carrie Cuttler et al.•ARTICLE•Psychology of Popular Media Culture•2017•Cited by: 1

  • Automatic word count estimation from daylong child-centered recordings in various language environments using language-independent syllabification of speech

    Okko Räsänen, Shreyas Seshadri et al.•PREPRINT•2019

    Automatic word count estimation (WCE) from audio recordings can be used to quantify the amount of verbal communication in a recording environment. One key application of WCE is to measure language input heard by infants and toddlers in their natural environments, as captured by daylong recordings from microphones worn by the infants. Although WCE is nearly trivial for high-quality signals in high-resource languages, daylong recordings are substan…

  • A thorough evaluation of the Language Environment Analysis (Lenatm) system

    Alejandrina Cristia, Marvin Lavechin et al.•PREPRINT•2019

    In the previous decade, dozens of studies involving thousands of children across several research disciplines have made use of a combined daylong audio-recorder and automated algorithmic analysis called the LENA^®^ system, which aims to assess children's language environment. While the system's prevalence in the language acquisition domain is steadily growing, there are only scattered validation efforts, on only some of its key characteristics. H…

  • A thorough evaluation of the Language Environment Analysis (Lena) system

    Open Access•Alejandrina Cristia, Marvin Lavechin et al.•ARTICLE•Behavior Research Methods•2020

  • A cross-linguistic examination of young children’s everyday language experiences

    Open Access•John Bunce, Melanie Soderstrom et al.•ARTICLE•Journal of Child Language•2025

    We present an exploratory cross-linguistic analysis of the quantity of target-child-directed speech and adult-directed speech in North American English (US & Canadian), United Kingdom English, Argentinian Spanish, Tseltal (Tenejapa, Mayan), and Yélî Dnye (Rossel Island, Papuan), using annotations from 69 children aged 2–36 months. Using a novel methodological approach, our cross-linguistic and cross-cultural findings support prior work suggesting…

  • Cross-Linguistic and Socioeconomic Differences in the Use of Variation Sets in Children’s Communicative Environments

    Open Access•Celia Renata Rosemberg, Florencia Alam et al.•ARTICLE•Journal of Child Language•2026

    This study examines variation sets (VS) – structured repetitions of words in different morphosyntactic contexts – in child-directed speech (CDS) compared to adult-directed speech (ADS) across two communities (Argentinian Spanish and North American English) and socioeconomic groups. Drawing on naturalistic recordings from 101 families, results show that VS are more frequent in CDS than in ADS. In Argentinian Spanish, they are more prevalent in mid…

Psychology (5 works) · Computer Science (4 works) · Language Development and Disorders (4 works) · Linguistics (4 works) · Developmental psychology (3 works) · Natural language processing (3 works) · Speech and dialogue systems (3 works) · Artificial Intelligence (2 works) · Cognitive psychology (2 works) · Language acquisition (2 works)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae