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Gabe Dupre
Keele University
  1. Linguistics and the Explanatory Economy.Gabe Dupre - 2019 - Synthese 199 (Suppl 1):177-219.
    I present a novel, collaborative, methodology for linguistics: what I call the ‘explanatory economy’. According to this picture, multiple models/theories are evaluated based on the extent to which they complement one another with respect to data coverage. I show how this model can resolve a long-standing worry about the methodology of generative linguistics: that by creating too much distance between data and theory, the empirical credentials of this research program are tarnished. I provide justifications of such methodologically central distinctions as (...)
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    What Would It Mean for Natural Language to Be the Language of Thought?Gabe Dupre - 2021 - Linguistics and Philosophy 44 (4):773-812.
    Traditional arguments against the identification of the language of thought with natural language assume a picture of natural language which is largely inconsistent with that suggested by contemporary linguistic theory. This has led certain philosophers and linguists to suggest that this identification is not as implausible as it once seemed. In this paper, I discuss the prospects for such an identification in light of these developments in linguistic theory. I raise a new challenge against the identification thesis: the existence of (...)
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  3.  18
    (What) Can Deep Learning Contribute to Theoretical Linguistics?Gabe Dupre - 2021 - Minds and Machines 31 (4):617-635.
    Deep learning techniques have revolutionised artificial systems’ performance on myriad tasks, from playing Go to medical diagnosis. Recent developments have extended such successes to natural language processing, an area once deemed beyond such systems’ reach. Despite their different goals, these successes have suggested that such systems may be pertinent to theoretical linguistics. The competence/performance distinction presents a fundamental barrier to such inferences. While DL systems are trained on linguistic performance, linguistic theories are aimed at competence. Such a barrier has traditionally (...)
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  4.  19
    Reference and Morphology.Gabe Dupre - forthcoming - Philosophy and Phenomenological Research.
    Philosophy and Phenomenological Research, EarlyView.
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    Public Language, Private Language, and Subsymbolic Theories of Mind.Gabe Dupre - forthcoming - Mind and Language.
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    Realism and Observation: The View From Generative Grammar.Gabe Dupre - 2022 - Philosophy of Science 89 (3):565-584.
    Standard proposals of scientific anti-realism assume that the methodology of a scientific research program can be endorsed without accepting its metaphysical commitments. I argue that the distinction between competence, the rules governing one’s language faculty, and performance, or linguistic behavior, precludes this. Linguistic theories aim to describe competence, not performance, and so must be able to distinguish observations reflective of the former from those reflective of the latter. This classification of data makes sense only against the background of a psychologically (...)
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  7. Idealisation in Natural Language Semantics: Truth-Conditions for Radical Contextualists.Gabe Dupre - forthcoming - Inquiry: An Interdisciplinary Journal of Philosophy.
    In this paper, I shall provide a novel response to the argument from context-sensitivity against truth-conditional semantics. It is often argued that the contextual influences on truth-conditions outstrip the resources of standard truth-conditional accounts, and so truth-conditional semantics rests on a mistake. The argument assumes that truth-conditional semantics is legitimate if and only if natural language sentences have truth-conditions. I shall argue that this assumption is mistaken. Truth-conditional analyses should be viewed as idealised approximations of the complexities of natural language (...)
     
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    Modeling modeling: Stephen M. Downes: Models and modeling in the sciences: A philosophical introduction. New York and London: Routledge, 2020, 114 pp, £34.99 PB.Gabe Dupre - 2020 - Metascience 30 (1):95-98.
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    Empiricism, Syntax, and Ontogeny.Gabe Dupre - 2021 - Philosophical Psychology 34 (7):1011-1046.
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    Correction to: (What) Can Deep Learning Contribute to Theoretical Linguistics?Gabe Dupre - 2022 - Minds and Machines 32 (1):11-11.