Rule learning by seven-month-old infants.

By Gary F. Marcus, S. Vijayan, S. Rao, P. Vishton. 1999

Subfields: Cognitive Science & Psychology

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Citations in the corpus

The Next Decade in AI: Four Steps Towards Robust Artificial Intelligence (2020, background): “Some of the most compelling evidence for this came from a 1999 study (Marcus et al., 1999) in which my colleagues and I showed that 7-month old infants could recognize simple abstract patterns such as the ABB pattern in la ta ta and extrapolate them beyond a set of training examples to novel…”
Bayesian learning of visual chunks by human observers (2008, background): “In contrast, rule learning has been postulated as a qualitatively different mechanism that can capture abstract structural properties of the input that are inaccessible to any statistical learning mechanism (10, 19).”
Early language acquisition: cracking the speech code (2004, background): “Similarly, Marcus showed that 7-month-olds can learn sequences of either an ABB ('de-li-li') or ABA ('we-di-we') form, and that they can extend this pattern learning to new sequences, a skill that was argued to require learning of algebraic rule”
Social Feedback to Infants' Babbling Facilitates Rapid Phonological Learning (2008, background): “In another study, infants exposed to variable input acquired a rule that governed an underlying pattern in the utterances, rather than the surface features ( Marcus, Vijayan, Bandi Rao, & Vishton, 1999 ).”
Investigating the distribution of some (but not all ) implicatures using corpora and web-based methods (2015, methodology): “I used TGrep2 (Rohde 2005) to extract all 1748 occurrences of some-NPs that were not part of a disfluency from the Penn Treebank (release 3, Marcus et al. 1999) subset of the Switchboard corpus of telephone dialogues (Godfrey & McDaniel 1992).”