There is an active debate within the field of phonology concerning the cognitive status of substantive phonetic factors such as ease of articulation and perceptual distinctiveness. A new framework is proposed in which substance functions as a bias, or prior, on phonological learning. Two experiments tested this framework with a method in which participants are provided highly impoverished evidence of a new phonological pattern, and then tested on how they extend this pattern to novel contexts and novel sounds. Participants were found to generalize velar palatalization (e.g., the change from �� � as in cap to ��� � as in cheap) in a way that accords with linguistic typology, and that is predicted by a cognitive bias in favor of changes that ...
Although extensive research has been done into the acquisition of non-linguistic feature combination...
Speakers judge novel strings to be better potential words of their language if those strings consist...
A fundamental debate in the machine learning of language has been the role of prior knowledge in the...
An ongoing debate in phonology concerns the extent to which the phonological typology is shaped by s...
An ongoing debate in phonology concerns the extent to which the phonological typology is shaped by s...
Understanding how people learn the phonological patterns of their language is a major challenge faci...
The role of inductive biases has been actively examined in work on phonological learning. While prev...
This dissertation investigates the relation between the complexity of phonological patterns, their l...
The phonotactics of a language concerns the well-formedness of strings of sounds as potential words ...
The most straightforward theory of how phonologization interacts with Universal Grammar to determine...
This dissertation investigates how knowledge of phonological generalizations influences speech perce...
This dissertation investigates how knowledge of phonological generalizations influences speech perce...
The present paper provides evidence from an artificial grammar learning task that supports abstract ...
Phonotactics are the restrictions on sound sequences within a word or syllable. They are an importan...
This thesis investigates why some phonological processes are typologically common, while others are ...
Although extensive research has been done into the acquisition of non-linguistic feature combination...
Speakers judge novel strings to be better potential words of their language if those strings consist...
A fundamental debate in the machine learning of language has been the role of prior knowledge in the...
An ongoing debate in phonology concerns the extent to which the phonological typology is shaped by s...
An ongoing debate in phonology concerns the extent to which the phonological typology is shaped by s...
Understanding how people learn the phonological patterns of their language is a major challenge faci...
The role of inductive biases has been actively examined in work on phonological learning. While prev...
This dissertation investigates the relation between the complexity of phonological patterns, their l...
The phonotactics of a language concerns the well-formedness of strings of sounds as potential words ...
The most straightforward theory of how phonologization interacts with Universal Grammar to determine...
This dissertation investigates how knowledge of phonological generalizations influences speech perce...
This dissertation investigates how knowledge of phonological generalizations influences speech perce...
The present paper provides evidence from an artificial grammar learning task that supports abstract ...
Phonotactics are the restrictions on sound sequences within a word or syllable. They are an importan...
This thesis investigates why some phonological processes are typologically common, while others are ...
Although extensive research has been done into the acquisition of non-linguistic feature combination...
Speakers judge novel strings to be better potential words of their language if those strings consist...
A fundamental debate in the machine learning of language has been the role of prior knowledge in the...