In:
Open Mind, MIT Press, Vol. 3 ( 2019-10), p. 13-22
Abstract:
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.
Type of Medium:
Online Resource
ISSN:
2470-2986
DOI:
10.1162/opmi_a_00022
Language:
English
Publisher:
MIT Press
Publication Date:
2019
detail.hit.zdb_id:
2900477-9