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Ewan Dunbar

Biographic Data

ID3592411
NAMEEwan Dunbar
GIVEN NAMESEwan
FAMILY NAMEDunbar
SIGNATUREDUNBAR E
AFFILIATIONSCentre National de la Recherche Scientifique
ORCID0000-0001-9603-953X
VERIFIEDYes
TOTAL WORKS6
TOTAL CITATIONS1
WORKS AS AUTHOR6
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2016
LATEST PUBLICATION YEAR2019
H-INDEX1
  • Generative Grammar, Neural Networks, and the Implementational Mapping Problem

    Open Access•Ewan Dunbar•ARTICLE•Language•2019

    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

    Open Access•Margarita Maldonado, Mora Maldonado et al.•ARTICLE•Behavior Research Methods•2019

  • Generative Grammar, Neural Networks, and the Implementational Mapping Problem

    Ewan Dunbar•ARTICLE•Language•2019•Cited by: 1

    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

    Ewan Dunbar, William Idsardi et al.•BOOK•Oxford Handbook of Developmental…•2016

    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

    Open Access•Ewan Dunbar, Emmanuel Dupoux•ARTICLE•Frontiers in Psychology•2016

    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

    Bronwyn M Bjorkman, Bronwyn Bjorkman et al.•ARTICLE•Linguistic Inquiry•2016•References: 13

    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

    Ewan Dunbar•ARTICLE•Language•2019•Cited by: 1

    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

    Ewan Dunbar, William Idsardi et al.•BOOK•Oxford Handbook of Developmental…•2016

    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

    Open Access•Ewan Dunbar, Emmanuel Dupoux•ARTICLE•Frontiers in Psychology•2016

    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

    Bronwyn M Bjorkman, Bronwyn Bjorkman et al.•ARTICLE•Linguistic Inquiry•2016•References: 13

    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

    Open Access•Ewan Dunbar•ARTICLE•Language•2019

    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

    Open Access•Margarita Maldonado, Mora Maldonado et al.•ARTICLE•Behavior Research Methods•2019

  • Generative Grammar, Neural Networks, and the Implementational Mapping Problem

    Ewan Dunbar•ARTICLE•Language•2019•Cited by: 1

    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)

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