This dissertation seeks to understand the underlying mechanism(s) of statistical learning (SL), defined as the capacity to extract structure from a perceptual stream by relying on the statistical properties of that stream (e.g., Aslin, 2017). I approach this question in two ways: by examining (1) the output representations of statistical learning (i.e., the quality of representations that emerge from a SL experience), and (2) the effect of input representations on SL (i.e., whether and how an individual’s prior knowledge filters and shapes SL). I hypothesized that (i) learners’ prior knowledge would impact the accessibility of units to SL, and thereby modify the process of learning; (ii) that SL is composed of more than veridical tracking o...
Learners segment potential lexical units from syllable streams when statistically variable transitio...
In this thesis, I investigated the process of statistical word segmentation using a combination of b...
Humans are capable of rapidly extracting regularities from environmental input, a process known as s...
This dissertation seeks to understand the underlying mechanism(s) of statistical learning (SL), defi...
Statistical learning (SL) is the ability to implicitly extract regularities in the environment, and ...
Statistical Learning (SL) is typically considered to be a domain-general mechanism by which cognitiv...
Humans have the ability to learn surprisingly complicated statistical information in a variety of mo...
Infants, children and adults are capable of implicitly extracting regularities from their environmen...
Acquiring language is notoriously complex, yet for the majority of children this feat is accomplishe...
Humans’ high sensitivity to the structure in their environment is explained as statistical learning....
A growing body of research investigates individual differences in the learning of statistical struct...
Infants, children and adults are capable of extracting recurring patterns from their environment thr...
First published: 09 December 2019In order to extract the regularities underlying a continuous sensor...
Statistical learning (SL) is assumed to lead to long-term memory representations. However, the way t...
Our ability to learn language is accomplished by using structural patterns found in everyday languag...
Learners segment potential lexical units from syllable streams when statistically variable transitio...
In this thesis, I investigated the process of statistical word segmentation using a combination of b...
Humans are capable of rapidly extracting regularities from environmental input, a process known as s...
This dissertation seeks to understand the underlying mechanism(s) of statistical learning (SL), defi...
Statistical learning (SL) is the ability to implicitly extract regularities in the environment, and ...
Statistical Learning (SL) is typically considered to be a domain-general mechanism by which cognitiv...
Humans have the ability to learn surprisingly complicated statistical information in a variety of mo...
Infants, children and adults are capable of implicitly extracting regularities from their environmen...
Acquiring language is notoriously complex, yet for the majority of children this feat is accomplishe...
Humans’ high sensitivity to the structure in their environment is explained as statistical learning....
A growing body of research investigates individual differences in the learning of statistical struct...
Infants, children and adults are capable of extracting recurring patterns from their environment thr...
First published: 09 December 2019In order to extract the regularities underlying a continuous sensor...
Statistical learning (SL) is assumed to lead to long-term memory representations. However, the way t...
Our ability to learn language is accomplished by using structural patterns found in everyday languag...
Learners segment potential lexical units from syllable streams when statistically variable transitio...
In this thesis, I investigated the process of statistical word segmentation using a combination of b...
Humans are capable of rapidly extracting regularities from environmental input, a process known as s...