Publications

View By Topic:
All Topics
F Foundations
P Perception
E Education
CI Causal Induction
CD Cognitive Development
PR Probabilistic Reasoning
RPM Rational Process Models
S&C Similarity and Categorization
SML Statistical Models of Language
NBM Nonparametric Bayesian Models
CEIL Cultural Evolution and Iterated Learning
DMRL Decision Making and Reinforcement Learning

(Click on an author's name to view all papers by that author.)


Filter publications

By Meylan, S.
SML
Meylan, S., & Griffiths, T. (preprint). The challenges of large-scale, web-based language datasets: Word length and predictability revisited. (link)
SML
Meylan, S. C., & Griffiths, T. L. (preprint). Word forms - not just their lengths - are optimized for efficient communication. (link)
SML
Meylan, S. C., Nair, S., & Griffiths, T. L. (2021). Evaluating models of robust word recognition with serial reproduction. Cognition, 210, 104553. (pdf)
SML
Nematzadeh, A., Meylan, S. C., & Griffiths, T. L. (2017). Evaluating vector-space models of word representation, or the unreasonable effectiveness of counting words near other words. Proceedings of the 39th Annual Conference of the Cognitive Science Society. (pdf)
CD
SML
Meylan, S. C., & Griffiths, T. L. (2015). A Bayesian framework for learning words from multiword utterances. Proceedings of the 37th Annual Conference of the Cognitive Science Society. (pdf)

© 2021 Computational Cognitive Science Lab  |  Department of Psychology  |  Princeton University