Exploring the Robustness of Cross-Situational Learning Under Zipfian Distributions

@article{Vogt2012ExploringTR,
  title={Exploring the Robustness of Cross-Situational Learning Under Zipfian Distributions},
  author={P. Vogt},
  journal={Cognitive science},
  year={2012},
  volume={36 4},
  pages={
          726-39
        }
}
  • P. Vogt
  • Published 2012
  • Computer Science, Medicine
  • 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… Expand
29 Citations
Cross-situational learning in a Zipfian environment
Cross-situational learning of large lexicons with finite memory
Reinforcement and inference in cross-situational word learning
Mechanisms of Cross-situational Learning: Behavioral and Computational Evidence.
A Bootstrapping Model of Frequency and Context Effects in Word Learning
Modeling individual performance in cross-situational word learning
Lingodroids: Cross-Situational Learning for Episodic Elements
The role of partial knowledge in statistical word learning
Adults Use Cross-Situational Statistics for Word Learning in a Conservative Way
...
1
2
3
...

References

SHOWING 1-10 OF 48 REFERENCES
Learning Times for Large Lexicons Through Cross-Situational Learning
A computational study of cross-situational techniques for learning word-to-meaning mappings
A Bayesian Framework for Cross-Situational Word-Learning
Integrating Syntactic Knowledge into a Model of Cross-situational Word Learning
Infants rapidly learn word-referent mappings via cross-situational statistics
A unified model of early word learning: Integrating statistical and social cues
The child as word learner
...
1
2
3
4
5
...