Previous research on cross‐situational word learning has demonstrated that learners are
able to reduce ambiguity in mapping words to referents by tracking co‐occurrence …

Recent research has demonstrated that word learners can determine word‐referent
mappings by tracking co‐occurrences across multiple ambiguous naming events. The …

Previous research in cross-situational statistical learning has established that people can
track statistical information across streams in order to map nonce words to their referent …

Three experiments investigated competition between word–object pairings in a cross-
situational word-learning paradigm. Adults were presented with One-Word pairings, where a …

There are an infinite number of possible word-to-word pairings in naturalistic learning
environments. Previous proposals to solve this mapping problem have focused on linguistic …

Prior research has shown that people can use the cooccurrence statistics of words and
referents in ambiguous situations to learn word meanings during a brief training period. The …

We report three eyetracking experiments that examine the learning procedure used by
adults as they pair novel words and visually presented referents over a sequence of …

Upon hearing a novel word, language learners must identify its correct meaning from a
diverse set of situationally relevant options. Such referential ambiguity could be reduced …

It is increasingly understood that people may learn new word/object mappings in part via a
form of statistical learning in which they track co-occurrences between words and objects …

Cross‐situational learning is a mechanism for learning the meaning of words across multiple
exposures, despite exposure‐by‐exposure uncertainty as to the word's true meaning. We …