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Bootstrapping mechanisms in first language acquisition

Bibliographic Data

ID3988866
AuthorsBarbara Höhle (0000-0002-9240-6117, University of Potsdam, corresponding author)
Year2009
Volume47
Issue2
Publication date2009-01-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueLinguistics (JOURNAL)
Journal identifiersISSN: 0024-3949 • E-ISSN: 1613-396X
PublisherWalter de Gruyter GmbH (PUBLISHER • DE)
DOI10.1515/ling.2009.013
OpenAlexW2039025401
LanguageEN
Citations received8
References cited80

In the field of language acquisition the term bootstrapping stands for the assumption that the child is genetically equipped with a specific program to get the process of language acquisition started. Originally set within the principles and parameters framework bootstrapping mechanism are considered as a linkage between properties of the specific language the child is exposed to and pre-existing linguistic knowledge provided by universal grammar. In a different view — primarily developed within the so-called prosodic bootstrapping account — bootstrapping mechanism direct the child's processing of the input thereby constraining the child's learning in a linguistically relevant way. Thus, the attendance to specific input cues provides the child with information to segment the input in linguistically relevant units which constitute restricted domains for more general learning mechanism like e.g., distributional learning. The paper will present a review of empirical findings that show that children are in fact equipped with highly sensitive and efficient mechanism to process their speech input which initially seem to be biased to prosodic information. It will be argued that further research within this framework has to deal with the reliability of the proposed relevant input cues despite crosslinguistic variation and with children's ability to overcome an initial reliance on single cues in favor of an integration of different sources of information

Bootstrapping (finance) · Grammar · Language acquisition · Linguistics · Mechanism (biology) · Natural language processing · Process (computing) · Programming language · Rule-based machine translation · Set (abstract data type) · Variation (astronomy) · Artificial Intelligence · Computer Science · Language Development and Disorders · Mathematics · Phonetics and Phonology Research · Speech and dialogue systems

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Unique citing works8
Citations per year0,53
Citation span2011 - 2025 (15)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 7

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