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Cited by 655

The DOI matches its Crossref record; 24 of the 24 references it cites were found in a registry or an index.

Rapid Word Learning Under Uncertainty via Cross-Situational Statistics

Yu, Chen, Smith, Linda B.·2007·Psychological Science

Abstract

There are an infinite number of possible word-to-word pairings in naturalistic learning environments. Previous proposals to solve this mapping problem have focused on linguistic, social, representational, and attentional constraints at a single moment. This article discusses a cross-situational learning strategy based on computing distributional statistics across words, across referents, and, most important, across the co-occurrences of words and referents at multiple moments. We briefly exposed adults to a set of trials that each contained multiple spoken words and multiple pictures of individual objects; no information about word-picture correspondences was given within a trial. Nonetheless, over trials, subjects learned the word-picture mappings through cross-trial statistical relations. Different learning conditions varied the degree of within-trial reference uncertainty, the number of trials, and the length of trials. Overall, the remarkable performance of learners in various learning conditions suggests that they calculate cross-trial statistics with sufficient fidelity and by doing so rapidly learn word-referent pairs even in highly ambiguous learning contexts.

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Metadata

Authors
Yu, C., & Smith, L. B.
Venue
Psychological Science
Published
2007-05
Volume
18
Issue
5
Pages
414-420
ISSN
  • 0956-7976 (ISSN-L)
  • 1467-9280
OpenAlex
W2166571083
Cited by
655
References
24
FWCI
37.10
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Rapid Word Learning Under Uncertainty via Cross-Situational Statistics. https://app.cochat.ai/papers/10.1111/j.1467-9280.2007.01915.x
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Yu, C., & Smith, L. B. (2007). Rapid Word Learning Under Uncertainty via Cross-Situational Statistics. Psychological Science. https://doi.org/10.1111/j.1467-9280.2007.01915.x

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