Cross-situational learning in a Zipfian environment
Shows that cross-situational word learning is improved when words and meanings are distributed in a Zipfian manner.
Modeling individual performance in cross-situational word learning
Learning word meaning with little means: An investigation into the inferential capacity of paradigmatic information
The helpfulness of category labels in semi-supervised learning depends on category structure
Bayesian inference in word learning
The relevance of labels in semi-supervised learning depends on category structure
Learning individual words and learning about words simultaneously
How does the presence of a label affect attention to other features?
Phonetic training makes word learning easier
Social context effects on the impact of category labels