Larissa K. Samuelson
University of East Anglia
78 Papers
437 Citations
Larissa K. Samuelson is an academic researcher from University of East Anglia. The author has contributed to research in topics: Vocabulary & Noun. The author has an hindex of 26, co-authored 75 publications. Previous affiliations of Larissa K. Samuelson include Indiana University & University of Iowa.
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Papers
Object name Learning Provides On-the-Job Training for Attention
TL;DR: Two experiments tested the proposal that experience in learning object names tunes children's attention to the properties relevant for naming—in the present case, to the property of shape—and thus facilitates the learning of more object names.
685
Word learning emerges from the interaction of online referent selection and slow associative learning.
TL;DR: An alternative in which referent selection is an online process and independent of long-term learning is presented, which suggests that association learning buttressed by dynamic competition can account for much of the literature and suggests more sophisticated ways of describing the interaction between situation- and developmental-time processes.
Early noun vocabularies: do ontology, category structure and syntax correspond?
TL;DR: It is found that children between 17 and 33 months of age do not systematically generalize names for solid things by shape similarity until they already know many nouns, and do not dismantle names for non-solid substances by material similarity.
430
Fast Mapping but Poor Retention by 24-Month-Old Infants
TL;DR: The results suggest that fast mapping is robust for reference selection but might be more transient than previously reported for lexical retention, and competitive processes on 2 timescales: competition among objects on individual referent selection trials and competition among multiple novel name-object mappings made across an experimental session.
402
Learn Locally, Think Globally Exemplar Variability Supports Higher-Order Generalization and Word Learning
TL;DR: It is demonstrated that object variability leads to better abstraction of individual and global category organization, which increases learning outside the laboratory.