Children learn their first language simply by listening to the linguistic utterances provided by their caregivers and other speakers around them. In order to extract meaning and grammatical rules from these utterances, children must track regularities in the input, which are omnipresent in language. The ability to discover and adapt to these statistical regularities in the input is termed statistical learning and has been suggested to be one of the key mechanisms underlying language acquisition. In this thesis, I investigated a special case of statistical learning, non-adjacent dependency (NAD) learning. NADs are grammatical dependencies between distant elements in an utterance, such as is and -ing in the sentence Mary is walking. I examine...
This study investigated the relationship between phonological short-term memory capacity and non-adj...
To acquire language, infants must learn how to identify words and linguistic structure in speech. St...
Miniature language learning can serve to model real language learning as high proficiency can be rea...
Children learn their first language simply by listening to the linguistic utterances provided by the...
In order to become proficient native speakers, children have to learn the morpho-syntactic relations...
Becoming a successful speaker depends on acquiring and learning grammatical dependencies between nei...
Characterizing the nature of linguistic representations and how they emerge during early development...
When learning a new language, grammar—although difficult—is very important, as grammatical rules det...
We investigated the developmental trajectory of nonadjacent dependency learning in an artificial lan...
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...
When children learn their native language, they have to deal with a confusing array of dependencies ...
Learning and processing natural language requires the ability to track syntactic relationships betwe...
Infants show impressive speech decoding abilities and detect acoustic regularities that highlight th...
Learning and processing natural language requires the ability to track syntactic relationships betwe...
This study investigated the relationship between phonological short-term memory capacity and non-adj...
To acquire language, infants must learn how to identify words and linguistic structure in speech. St...
Miniature language learning can serve to model real language learning as high proficiency can be rea...
Children learn their first language simply by listening to the linguistic utterances provided by the...
In order to become proficient native speakers, children have to learn the morpho-syntactic relations...
Becoming a successful speaker depends on acquiring and learning grammatical dependencies between nei...
Characterizing the nature of linguistic representations and how they emerge during early development...
When learning a new language, grammar—although difficult—is very important, as grammatical rules det...
We investigated the developmental trajectory of nonadjacent dependency learning in an artificial lan...
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...
When children learn their native language, they have to deal with a confusing array of dependencies ...
Learning and processing natural language requires the ability to track syntactic relationships betwe...
Infants show impressive speech decoding abilities and detect acoustic regularities that highlight th...
Learning and processing natural language requires the ability to track syntactic relationships betwe...
This study investigated the relationship between phonological short-term memory capacity and non-adj...
To acquire language, infants must learn how to identify words and linguistic structure in speech. St...
Miniature language learning can serve to model real language learning as high proficiency can be rea...