Learners are exquisitely attuned to statistical information in their language input. We tested how prior experience impacts such sensitivity, particularly whether prior experience serves as a bootstrap by enabling acquisition of more complex structure. Experiments 1 and 2 tested whether giving adult learners experience with adjacent category-dependencies in an artificial language facilitates subsequent learning of a novel language containing more complex nonadjacent dependencies. Prior experience had a facilitating effect, both when it preceded exposure to the nonadjacent language by just a few minutes (Experiment 1), and also by 24 hours (Experiment 2). Prior experience with the vocabulary and prosodic characteristics of the language did n...
This dissertation explores the human ability for non-adjacent dependency-learning, which allows adul...
Statistical learning (SL) is assumed to lead to long-term memory representations. However, the way t...
Adults’ linguistic background influences their sequential statistical learning of an artificial lang...
Lexical categories like noun and verb are foundational to language acquisition, but these categories...
Infants are adept at learning statistical regularities in artificial language materials, suggesting ...
We investigated the developmental trajectory of nonadjacent dependency learning in an artificial lan...
What are the effects of experience on subsequent learning? We explored the effects of language-speci...
What are the effects of experience on subsequent learning? We explored the effects of language-speci...
Characterizing the nature of linguistic representations and how they emerge during early development...
To acquire language, infants must learn how to identify words and linguistic structure in speech. St...
To acquire language, infants must learn how to identify words and linguistic structure in speech. St...
Adults’ linguistic backgrounds influence their sequential statistical learning in an artificial lang...
Recent research has highlighted the ability of adults as well as infants to learn word-to-world mapp...
Children learn their first language simply by listening to the linguistic utterances provided by the...
Children’s language closely reflects their recent and long-term experiences of language. Within conv...
This dissertation explores the human ability for non-adjacent dependency-learning, which allows adul...
Statistical learning (SL) is assumed to lead to long-term memory representations. However, the way t...
Adults’ linguistic background influences their sequential statistical learning of an artificial lang...
Lexical categories like noun and verb are foundational to language acquisition, but these categories...
Infants are adept at learning statistical regularities in artificial language materials, suggesting ...
We investigated the developmental trajectory of nonadjacent dependency learning in an artificial lan...
What are the effects of experience on subsequent learning? We explored the effects of language-speci...
What are the effects of experience on subsequent learning? We explored the effects of language-speci...
Characterizing the nature of linguistic representations and how they emerge during early development...
To acquire language, infants must learn how to identify words and linguistic structure in speech. St...
To acquire language, infants must learn how to identify words and linguistic structure in speech. St...
Adults’ linguistic backgrounds influence their sequential statistical learning in an artificial lang...
Recent research has highlighted the ability of adults as well as infants to learn word-to-world mapp...
Children learn their first language simply by listening to the linguistic utterances provided by the...
Children’s language closely reflects their recent and long-term experiences of language. Within conv...
This dissertation explores the human ability for non-adjacent dependency-learning, which allows adul...
Statistical learning (SL) is assumed to lead to long-term memory representations. However, the way t...
Adults’ linguistic background influences their sequential statistical learning of an artificial lang...