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Segmentability Differences Between Child-Directed and Adult-Directed Speech: A Systematic Test With an Ecologically Valid Corpus
by
Soderstrom, Melanie
, Cristia, Alejandrina
, Dupoux, Emmanuel
, Ratner, Nan Bernstein
in
Algorithms
/ Caregivers
/ Children & youth
/ Cognitive science
/ Computation and Language
/ computational modeling
/ Computer Science
/ Families & family life
/ infant word segmentation
/ Laboratories
/ learnability
/ lexicon
/ Linguistics
/ Speech
/ statistical learning
2019
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Segmentability Differences Between Child-Directed and Adult-Directed Speech: A Systematic Test With an Ecologically Valid Corpus
by
Soderstrom, Melanie
, Cristia, Alejandrina
, Dupoux, Emmanuel
, Ratner, Nan Bernstein
in
Algorithms
/ Caregivers
/ Children & youth
/ Cognitive science
/ Computation and Language
/ computational modeling
/ Computer Science
/ Families & family life
/ infant word segmentation
/ Laboratories
/ learnability
/ lexicon
/ Linguistics
/ Speech
/ statistical learning
2019
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Do you wish to request the book?
Segmentability Differences Between Child-Directed and Adult-Directed Speech: A Systematic Test With an Ecologically Valid Corpus
by
Soderstrom, Melanie
, Cristia, Alejandrina
, Dupoux, Emmanuel
, Ratner, Nan Bernstein
in
Algorithms
/ Caregivers
/ Children & youth
/ Cognitive science
/ Computation and Language
/ computational modeling
/ Computer Science
/ Families & family life
/ infant word segmentation
/ Laboratories
/ learnability
/ lexicon
/ Linguistics
/ Speech
/ statistical learning
2019
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Segmentability Differences Between Child-Directed and Adult-Directed Speech: A Systematic Test With an Ecologically Valid Corpus
Journal Article
Segmentability Differences Between Child-Directed and Adult-Directed Speech: A Systematic Test With an Ecologically Valid Corpus
2019
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Overview
Previous computational modeling suggests it is much easier to segment words from child-directed speech (CDS) than adult-directed speech (ADS). However, this conclusion is based on data collected in the laboratory, with CDS from play sessions and ADS between a parent and an experimenter, which may not be representative of ecologically collected CDS and ADS. Fully naturalistic ADS and CDS collected with a nonintrusive recording device as the child went about her day were analyzed with a diverse set of algorithms. The difference between registers was small compared to differences between algorithms; it reduced when corpora were matched, and it even reversed under some conditions. These results highlight the interest of studying learnability using naturalistic corpora and diverse algorithmic definitions.
Publisher
MIT Press,MIT Press Journals, The,The MIT Press
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