Predicting the birth of a spoken word
Author(s)
Frank, Michael C.; Roy, Brandon Cain; DeCamp, Philip J; Miller, Matthew Adam; Roy, Deb K
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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.
Date issued
2015-09Department
Massachusetts Institute of Technology. Media LaboratoryJournal
Proceedings of the National Academy of Sciences
Publisher
National Academy of Sciences (U.S.)
Citation
Roy, Brandon C.; Frank, Michael C.; DeCamp, Philip; Miller, Matthew and Roy, Deb. “Predicting the Birth of a Spoken Word.” Proceedings of the National Academy of Sciences 112, 41 (September 2015): 12663–12668 © 2015 Roy et al.
Version: Final published version
ISSN
0027-8424
1091-6490