Ewan Dunbar
Biographic Data
| ID | 3592411 |
|---|---|
| NAME | Ewan Dunbar |
| GIVEN NAMES | Ewan |
| FAMILY NAME | Dunbar |
| SIGNATURE | DUNBAR E |
| AFFILIATIONS | Centre National de la Recherche Scientifique |
| ORCID | 0000-0001-9603-953X |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 1 |
| WORKS AS AUTHOR | 6 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2016 |
| LATEST PUBLICATION YEAR | 2019 |
| H-INDEX | 1 |
Generative Grammar, Neural Networks, and the Implementational Mapping Problem
The target article (Pater 2019) proposes to use neural networks to model learning within existing grammatical frameworks. This is easier said than done. There is a fundamental gap to be bridged that does not receive attention in the article: how can we use neural networks to examine whether it is possible to learn some linguistic representation (a tree, for example) when, after learning is finished, we cannot even tell if this is the type of repr…
Mouse tracking as a window into decision making
Generative Grammar, Neural Networks, and the Implementational Mapping Problem
The target article (Pater 2019) proposes to use neural networks to model learning within existing grammatical frameworks. This is easier said than done. There is a fundamental gap to be bridged that does not receive attention in the article: how can we use neural networks to examine whether it is possible to learn some linguistic representation (a tree, for example) when, after learning is finished, we cannot even tell if this is the type of repr…
The Acquisition of Phonological Inventories
This chapter gives a unified overview of the research on how phonological inventories are acquired in a first language. It surveys the main highlights of the literature from both a perception and a production standpoint, from both linguistics and psychology, with an eye to how we might start to square the various disagreeing sets of facts
Geometric Constraints on Human Speech Sound Inventories
We investigate the idea that the languages of the world have developed coherent sound systems in which having one sound increases or decreases the chances of having certain other sounds, depending on shared properties of those sounds. We investigate the geometries of sound systems that are defined by the inherent properties of sounds. We document three typological tendencies in sound system geometries: economy, a tendency for the differences betw…
Finite-State Phonology Predicts a Typological Gap in Cyclic Stress Assignment
In this squib, we start from the empirical generalization that phonological grammars are all within the computational power of finite-state devices, a position nearly universally accepted in computational phonology. We show that this rules out certain patterns of morphologically sensitive stress assignment that are predicted by the phonological cycle hypothesis.Given that morphological structure is hierarchical in complex words, the phonological …
Generative Grammar, Neural Networks, and the Implementational Mapping Problem
The target article (Pater 2019) proposes to use neural networks to model learning within existing grammatical frameworks. This is easier said than done. There is a fundamental gap to be bridged that does not receive attention in the article: how can we use neural networks to examine whether it is possible to learn some linguistic representation (a tree, for example) when, after learning is finished, we cannot even tell if this is the type of repr…
The Acquisition of Phonological Inventories
This chapter gives a unified overview of the research on how phonological inventories are acquired in a first language. It surveys the main highlights of the literature from both a perception and a production standpoint, from both linguistics and psychology, with an eye to how we might start to square the various disagreeing sets of facts
Geometric Constraints on Human Speech Sound Inventories
We investigate the idea that the languages of the world have developed coherent sound systems in which having one sound increases or decreases the chances of having certain other sounds, depending on shared properties of those sounds. We investigate the geometries of sound systems that are defined by the inherent properties of sounds. We document three typological tendencies in sound system geometries: economy, a tendency for the differences betw…
Finite-State Phonology Predicts a Typological Gap in Cyclic Stress Assignment
In this squib, we start from the empirical generalization that phonological grammars are all within the computational power of finite-state devices, a position nearly universally accepted in computational phonology. We show that this rules out certain patterns of morphologically sensitive stress assignment that are predicted by the phonological cycle hypothesis.Given that morphological structure is hierarchical in complex words, the phonological …
Generative Grammar, Neural Networks, and the Implementational Mapping Problem
The target article (Pater 2019) proposes to use neural networks to model learning within existing grammatical frameworks. This is easier said than done. There is a fundamental gap to be bridged that does not receive attention in the article: how can we use neural networks to examine whether it is possible to learn some linguistic representation (a tree, for example) when, after learning is finished, we cannot even tell if this is the type of repr…
Mouse tracking as a window into decision making
Generative Grammar, Neural Networks, and the Implementational Mapping Problem
The target article (Pater 2019) proposes to use neural networks to model learning within existing grammatical frameworks. This is easier said than done. There is a fundamental gap to be bridged that does not receive attention in the article: how can we use neural networks to examine whether it is possible to learn some linguistic representation (a tree, for example) when, after learning is finished, we cannot even tell if this is the type of repr…
Computer Science (5 works) · Linguistics (5 works) · Mathematics (3 works) · Phonetics and Phonology Research (3 works) · Psychology (3 works) · Artificial Intelligence (2 works) · Artificial Intelligence (2 works) · Artificial neural network (2 works) · Cognitive psychology (2 works) · Generative grammar (2 works)