Development of Infants' Segmentation of Words from Native Speech: A Meta-Analytic Approach

Autor/inn/en	Bergmann, Christina; Cristia, Alejandrina
Titel	Development of Infants' Segmentation of Words from Native Speech: A Meta-Analytic Approach
Quelle	In: Developmental Science, 19 (2016) 6, S.901-917 (17 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1363-755X
DOI	10.1111/desc.12341
Schlagwörter	Infants; Meta Analysis; Native Language; Stimuli; Language Acquisition; Developmental Stages; Child Language; Infant Behavior; Familiarity + Suchen Sie Ihr Suchwort? Infant; Toddler; Toddlers; Kleinkind; Meta-analysis; Metaanalyse; Anreizsystem; Sprachaneignung; Spracherwerb; 'Children''s language'; Kindersprache
Abstract	Infants start learning words, the building blocks of language, at least by 6 months. To do so, they must be able to extract the phonological form of words from running speech. A rich literature has investigated this process, termed word segmentation. We addressed the fundamental question of how infants of different ages segment words from their native language using a meta-analytic approach. Based on previous popular theoretical and experimental work, we expected infants to display familiarity preferences early on, with a switch to novelty preferences as infants become more proficient at processing and segmenting native speech. We also considered the possibility that this switch may occur at different points in time as a function of infants' native language and took into account the impact of various task- and stimulus-related factors that might affect difficulty. The combined results from 168 experiments reporting on data gathered from 3,774 infants revealed a persistent familiarity preference across all ages. There was no significant effect of additional factors, including native language and experiment design. Further analyses revealed no sign of selective data collection or reporting. We conclude that models of infant information processing that are frequently cited in this domain may not, in fact, apply in the case of segmenting words from native speech. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01