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  1. Seven principles of surface structure parsing in natural language.John Kimball - 1973 - Cognition 2 (1):15-47.
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  • Distributional Information: A Powerful Cue for Acquiring Syntactic Categories.Martin Redington, Nick Chater & Steven Finch - 1998 - Cognitive Science 22 (4):425-469.
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  • Grammar‐based Connectionist Approaches to Language.Paul Smolensky - 1999 - Cognitive Science 23 (4):589-613.
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  • Review of V erbal Behavior. [REVIEW]Noam Chomsky - 1959 - Language 35 (1):26--58.
    I had intended this review not specifically as a criticism of Skinner's speculations regarding language, but rather as a more general critique of behaviorist (I would now prefer to say "empiricist") speculation as to the nature of higher mental processes. My reason for discussing Skinner's book in such detail was that it was the most careful and thoroughgoing presentation of such speculations, an evaluation that I feel is still accurate. Therefore, if the conclusions I attempted to substantiate in the review (...)
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  • Finite state automata and simple recurrent networks.Axel Cleeremans & David Servan-Schreiber - unknown
    We explore a network architecture introduced by Elman (1988) for predicting successive elements of a sequence. The network uses the pattern of activation over a set of hidden units from time-step 25-1, together with element t, to predict element t + 1. When the network is trained with strings from a particular finite-state grammar, it can learn to be a perfect finite-state recognizer for the grammar. When the network has a minimal number of hidden units, patterns on the hidden units (...)
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  • Aspects of the Theory of Syntax.Noam Chomsky - 1965 - Cambridge, MA, USA: MIT Press.
    Chomsky proposes a reformulation of the theory of transformational generative grammar that takes recent developments in the descriptive analysis of particular ...
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  • Syntactic Structures.Noam Chomsky - 1957 - Mouton.
    Noam Chomsky's book on syntactic structures is a serious attempts on the part of a linguist to construct within the tradition of scientific theory-construction ...
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  • Evidence against the context-freeness of natural language.Stuart M. Shieber - 1985 - Linguistics and Philosophy 8 (3):333 - 343.
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  • Systematicity in connectionist language learning.Robert F. Hadley - 1994 - Mind and Language 9 (3):247-72.
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  • Recursive distributed representations.Jordan B. Pollack - 1990 - Artificial Intelligence 46 (1-2):77-105.
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  • Computer Science as Empirical Inquiry: Symbols and Search.Allen Newell & H. A. Simon - 1976 - Communications of the Acm 19:113-126.
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  • The sausage machine: A new two-stage parsing model.Lyn Frazier & Janet Dean Fodor - 1978 - Cognition 6 (4):291-325.
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  • The ATN and the sausage machine: Which one is baloney?E. Wanner - 1980 - Cognition 8 (2):209-225.
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  • Finding Structure in Time.Jeffrey L. Elman - 1990 - Cognitive Science 14 (2):179-211.
    Time underlies many interesting human behaviors. Thus, the question of how to represent time in connectionist models is very important. One approach is to represent time implicitly by its effects on processing rather than explicitly (as in a spatial representation). The current report develops a proposal along these lines first described by Jordan (1986) which involves the use of recurrent links in order to provide networks with a dynamic memory. In this approach, hidden unit patterns are fed back to themselves: (...)
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  • Syntactic transformations on distributed representations.David J. Chalmers - 1990 - Connection Science 2:53-62.
    There has been much interest in the possibility of connectionist models whose representations can be endowed with compositional structure, and a variety of such models have been proposed. These models typically use distributed representations that arise from the functional composition of constituent parts. Functional composition and decomposition alone, however, yield only an implementation of classical symbolic theories. This paper explores the possibility of moving beyond implementation by exploiting holistic structure-sensitive operations on distributed representations. An experiment is performed using Pollack’s Recursive (...)
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  • Learning and development in neural networks: the importance of starting small.Jeffrey L. Elman - 1993 - Cognition 48 (1):71-99.
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  • Generalization and connectionist language learning.Morten H. Christiansen & Nick Chater - 1994 - Mind and Language 9 (3):273-87.
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  • {Finding structure in time}.J. Elman - 1993 - {Cognitive Science} 48:71-99.
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  • Natural languages and context-free languages.Geoffrey K. Pullum & Gerald Gazdar - 1980 - Linguistics and Philosophy 4 (4):471 - 504.
    Notice that this paper has not claimed that all natural languages are CFL's. What it has shown is that every published argument purporting to demonstrate the non-context-freeness of some natural language is invalid, either formally or empirically or both.18 Whether non-context-free characteristics can be found in the stringset of some natural language remains an open question, just as it was a quarter century ago.Whether the question is ultimately answered in the negative or the affirmative, there will be interesting further questions (...)
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  • On being systematically connectionist.Lars F. Niklasson & Tim van Gelder - 1994 - Mind and Language 9 (3):288-30.
    In 1988 Fodor and Pylyshyn issued a challenge to the newly-popular connectionism: explain the systematicity of cognition without merely implementing a so-called classical architecture. Since that time quite a number of connectionist models have been put forward, either by their designers or by others, as in some measure demonstrating that the challenge can be met (e.g., Pollack, 1988, 1990; Smolensky, 1990; Chalmers, 1990; Niklasson and Sharkey, 1992; Brousse, 1993). Unfortu- nately, it has generally been unclear whether these models actually do (...)
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  • A capacity theory of comprehension: Individual differences in working memory.Marcel A. Just & Patricia A. Carpenter - 1992 - Psychological Review 99 (1):122-149.
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  • Linguistic complexity: locality of syntactic dependencies.Edward Gibson - 1998 - Cognition 68 (1):1-76.
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  • Short-term memory limitations on decoding self-embedded sentences.Maija S. Blaubergs & Martin D. Braine - 1974 - Journal of Experimental Psychology 102 (4):745.
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  • Connectionist Models of Language Production: Lexical Access and Grammatical Encoding.Gary S. Dell, Franklin Chang & Zenzi M. Griffin - 1999 - Cognitive Science 23 (4):517-542.
    Theories of language production have long been expressed as connectionist models. We outline the issues and challenges that must be addressed by connectionist models of lexical access and grammatical encoding, and review three recent models. The models illustrate the value of an interactive activation approach to lexical access in production, the need for sequential output in both phonological and grammatical encoding, and the potential for accounting for structural effects on errors and structural priming from learning.
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  • Autonomy, implementation and cognitive architecture: A reply to Fodor and Pylyshyn.Nick Chater & Mike Oaksford - 1990 - Cognition 34 (1):93-107.
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  • Parallel Distributed Processing.P. de RumelhartSmolensky, Jl Mcclelland & Ge Hinton - 1987 - In J. L. McClelland & D. E. Rumelhart (eds.). MIT Press.
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  • On Being Systematically Connectionist.Lars F. Niklasson & Tim Gelder - 1994 - Mind and Language 9 (3):288-302.
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  • Internal representations of a connectionist model of reading aloud.John A. Bullinaria - 1994 - In Ashwin Ram & Kurt Eiselt (eds.), Proceedings of the Sixteenth Annual Conference of the Cognitive Science Society: August 13 to 16, 1994, Georgia Institute of Technology. Erlbaum. pp. 84--89.
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  • A language learning model for finite parameter spaces.Partha Niyogi & Robert C. Berwick - 1996 - Cognition 61 (1-2):161-193.
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