16 found
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  1.  12
    How Are Grammers Represented?Edward P. Stabler - 1983 - Behavioral and Brain Sciences 6 (3):391.
  2.  57
    Two Models of Minimalist, Incremental Syntactic Analysis.Edward P. Stabler - 2013 - Topics in Cognitive Science 5 (3):611-633.
    Minimalist grammars (MGs) and multiple context-free grammars (MCFGs) are weakly equivalent in the sense that they define the same languages, a large mildly context-sensitive class that properly includes context-free languages. But in addition, for each MG, there is an MCFG which is strongly equivalent in the sense that it defines the same language with isomorphic derivations. However, the structure-building rules of MGs but not MCFGs are defined in a way that generalizes across categories. Consequently, MGs can be exponentially more succinct (...)
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  3. The Logical Approach to Syntax Foundations, Specifications, and Implementations of Theories of Government and Binding.Edward P. Stabler - 1992
     
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  4. Kripke on Functionalism and Automata.Edward P. Stabler - 1987 - Synthese 70 (January):1-22.
    Saul Kripke has proposed an argument to show that there is a serious problem with many computational accounts of physical systems and with functionalist theories in the philosophy of mind. The problem with computational accounts is roughly that they provide no noncircular way to maintain that any particular function with an infinite domain is realized by any physical system, and functionalism has the similar problem because of the character of the functional systems that are supposed to be realized by organisms. (...)
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  5.  6
    Varieties of Crossing Dependencies: Structure Dependence and Mild Context Sensitivity.Edward P. Stabler - 2004 - Cognitive Science 28 (5):699-720.
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  6.  13
    Linguistic Invariants and Language Variation.Edward L. Keenan & Edward P. Stabler - unknown
    We illustrate a novel conception of linguistic invariant which applies to grammars of different natural languages even though they may use different categories and have difl'erent rules. We illustrate formally how semantically defined notions, such as "is an anaphor" may be invariant in all linguistically motivated grammars, and we show that individual morphemes, such as case markers, may be invariant in grammars that have them in exactly the same sense in which properties, such as "is a Verb Phrase" or relations (...)
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  7.  22
    Stmctural Similarity Within and Among Languages.Edward P. Stabler & Edward L. Keenan - unknown
    Linguists rely on intuitive conceptions of structure when comparing expressions and languages. In an algebraic presentation of a language, some natural notions of similarity can be rigorously defined (e.g. among elements of a language, equivalence w.r.t. isomorphisms of the language; and among languages, equivalence w.r.t. isomorphisms of symmetry groups), but it tums out that slightly more complex and nonstandard notions are needed to capture the kinds of comparisons linguists want to make. This paper identihes some of the important notions of (...)
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  8.  12
    Computing Quantifier Scope.Edward P. Stabler - 1997 - In Anna Szabolcsi (ed.), Ways of Scope Taking. Kluwer Academic Publishers. pp. 155--182.
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  9.  5
    Berwick and Weinberg on Linguistics and Computational Psychology.Edward P. Stabler - 1984 - Cognition 17 (2):155-179.
  10.  4
    Computational Theories and Mental Representation.Edward P. Stabler - 1983 - Behavioral and Brain Sciences 6 (3):416.
  11.  1
    Thought and Object: Essays on Intentionality.Edward P. Stabler & Andrew Woodfield - 1984 - Philosophical Review 93 (4):632.
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  12.  7
    Interactive Instructional Systems and Models of Human Problem Solving.Edward P. Stabler - 1987 - Behavioral and Brain Sciences 10 (3):493.
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  13.  3
    Computational Models of Language Processing.Edward P. Stabler - 1986 - Behavioral and Brain Sciences 9 (3):550.
  14.  4
    Learning Simple Things: A Connectionist Learning Problem From Various Perspectives.Edward P. Stabler - 1988 - PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association 1988:424 - 441.
    The performance of a connectionist learning system on a simple problem has been described by Hinton and is briefly reviewed here: a finite set is learned from a finite collection of finite sets, and the system generalizes correctly from partial information by finding simple "features" of the environment. For comparison, a very similar problem is formulated in the Gold paradigm of discrete learning functions. To get generalization similar to the connectionist system, a non-conservative learning strategy is required. We define a (...)
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  15.  4
    Rule-Governed Behavior in Computational Psychology.Edward P. Stabler - 1984 - Behavioral and Brain Sciences 7 (4):604.
  16.  2
    What's a Trigger?Edward P. Stabler - 1989 - Behavioral and Brain Sciences 12 (2):358.