Exploring the Robustness of Cross-Situational Learning Under Zipfian Distributions

  title={Exploring the Robustness of Cross-Situational Learning Under Zipfian Distributions},
  author={Paul Vogt},
  journal={Cognitive science},
  volume={36 4},
  • P. Vogt
  • Published 1 May 2012
  • Psychology
  • Cognitive science
Cross-situational learning has recently gained attention as a plausible candidate for the mechanism that underlies the learning of word-meaning mappings. In a recent study, Blythe and colleagues have studied how many trials are theoretically required to learn a human-sized lexicon using cross-situational learning. They show that the level of referential uncertainty exposed to learners could be relatively large. However, one of the assumptions they made in designing their mathematical model is… 

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