Literature DB >> 26392523

Predicting the birth of a spoken word.

Brandon C Roy1, Michael C Frank2, Philip DeCamp3, Matthew Miller3, Deb Roy3.   

Abstract

Children learn words through an accumulation of interactions grounded in context. Although many factors in the learning environment have been shown to contribute to word learning in individual studies, no empirical synthesis connects across factors. We introduce a new ultradense corpus of audio and video recordings of a single child's life that allows us to measure the child's experience of each word in his vocabulary. This corpus provides the first direct comparison, to our knowledge, between different predictors of the child's production of individual words. We develop a series of new measures of the distinctiveness of the spatial, temporal, and linguistic contexts in which a word appears, and show that these measures are stronger predictors of learning than frequency of use and that, unlike frequency, they play a consistent role across different syntactic categories. Our findings provide a concrete instantiation of classic ideas about the role of coherent activities in word learning and demonstrate the value of multimodal data in understanding children's language acquisition.

Entities:  

Keywords:  diary study; language acquisition; multimodal corpus analysis; word learning

Mesh:

Year:  2015        PMID: 26392523      PMCID: PMC4611597          DOI: 10.1073/pnas.1419773112

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  17 in total

1.  Learning new words: phonotactic probability in language development.

Authors:  H L Storkel
Journal:  J Speech Lang Hear Res       Date:  2001-12       Impact factor: 2.297

2.  Object name learning provides on-the-job training for attention.

Authors:  Linda B Smith; Susan S Jones; Barbara Landau; Lisa Gershkoff-Stowe; Larissa Samuelson
Journal:  Psychol Sci       Date:  2002-01

3.  Automated vocal analysis of naturalistic recordings from children with autism, language delay, and typical development.

Authors:  D K Oller; P Niyogi; S Gray; J A Richards; J Gilkerson; D Xu; U Yapanel; S F Warren
Journal:  Proc Natl Acad Sci U S A       Date:  2010-07-19       Impact factor: 11.205

4.  Defusing the childhood vocabulary explosion.

Authors:  Bob McMurray
Journal:  Science       Date:  2007-08-03       Impact factor: 47.728

5.  Rapid word learning under uncertainty via cross-situational statistics.

Authors:  Chen Yu; Linda B Smith
Journal:  Psychol Sci       Date:  2007-05

6.  Using speakers' referential intentions to model early cross-situational word learning.

Authors:  Michael C Frank; Noah D Goodman; Joshua B Tenenbaum
Journal:  Psychol Sci       Date:  2009-04-05

7.  Does frequency count? Parental input and the acquisition of vocabulary.

Authors:  Judith C Goodman; Philip S Dale; Ping Li
Journal:  J Child Lang       Date:  2008-08

8.  Word lengths are optimized for efficient communication.

Authors:  Steven T Piantadosi; Harry Tily; Edward Gibson
Journal:  Proc Natl Acad Sci U S A       Date:  2011-01-28       Impact factor: 11.205

9.  Quality of early parent input predicts child vocabulary 3 years later.

Authors:  Erica A Cartmill; Benjamin F Armstrong; Lila R Gleitman; Susan Goldin-Meadow; Tamara N Medina; John C Trueswell
Journal:  Proc Natl Acad Sci U S A       Date:  2013-06-24       Impact factor: 11.205

10.  Reliability and validity of the computerized comprehension task (CCT): data from American English and Mexican Spanish infants.

Authors:  Margaret Friend; Melanie Keplinger
Journal:  J Child Lang       Date:  2008-02
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  29 in total

1.  Quantitative Linguistic Predictors of Infants' Learning of Specific English Words.

Authors:  Daniel Swingley; Colman Humphrey
Journal:  Child Dev       Date:  2017-02-01

2.  The Signal in the Noise: The Visual Ecology of Parents' Object Naming.

Authors:  Sumarga H Suanda; Meagan Barnhart; Linda B Smith; Chen Yu
Journal:  Infancy       Date:  2018-12-25

3.  Social behaviour as an emergent property of embodied curiosity: a robotics perspective.

Authors:  Goren Gordon
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2019-04-29       Impact factor: 6.237

4.  Day by day, hour by hour: Naturalistic language input to infants.

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Journal:  Dev Sci       Date:  2018-08-10

Review 5.  Direct Fit to Nature: An Evolutionary Perspective on Biological and Artificial Neural Networks.

Authors:  Uri Hasson; Samuel A Nastase; Ariel Goldstein
Journal:  Neuron       Date:  2020-02-05       Impact factor: 17.173

6.  Look who's talking: A comparison of automated and human-generated speaker tags in naturalistic day-long recordings.

Authors:  Federica Bulgarelli; Elika Bergelson
Journal:  Behav Res Methods       Date:  2020-04

7.  The company objects keep: Linking referents together during cross-situational word learning.

Authors:  Martin Zettersten; Erica Wojcik; Viridiana L Benitez; Jenny Saffran
Journal:  J Mem Lang       Date:  2017-11-20       Impact factor: 3.059

Review 8.  What does it take to learn a word?

Authors:  Larissa K Samuelson; Bob McMurray
Journal:  Wiley Interdiscip Rev Cogn Sci       Date:  2016-12-01

9.  Infant exuberant object play at home: Immense amounts of time-distributed, variable practice.

Authors:  Orit Herzberg; Katelyn K Fletcher; Jacob L Schatz; Karen E Adolph; Catherine S Tamis-LeMonda
Journal:  Child Dev       Date:  2021-09-13

10.  HomeBank: An Online Repository of Daylong Child-Centered Audio Recordings.

Authors:  Mark VanDam; Anne S Warlaumont; Elika Bergelson; Alejandrina Cristia; Melanie Soderstrom; Paul De Palma; Brian MacWhinney
Journal:  Semin Speech Lang       Date:  2016-04-25       Impact factor: 1.761

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