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  1. Varieties of crossing dependencies: structure dependence and mild context sensitivity.Edward P. Stabler - 2004 - Cognitive Science 28 (5):699-720.
    Four different kinds of grammars that can define crossing dependencies in human language are compared here: (i) context sensitive rewrite grammars with rules that depend on context, (ii) matching grammars with constraints that filter the generative structure of the language, (iii) copying grammars which can copy structures of unbounded size, and (iv) generating grammars in which crossing dependencies are generated from a finite lexical basis. Context sensitive rewrite grammars are syntactically, semantically and computationally unattractive. Generating grammars have a collection of (...)
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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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  • Statistical learning of tone sequences by human infants and adults.Jenny R. Saffran, Elizabeth K. Johnson, Richard N. Aslin & Elissa L. Newport - 1999 - Cognition 70 (1):27-52.
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  • Dog is a dog is a dog: Infant rule learning is not specific to language.Jenny R. Saffran, Seth D. Pollak, Rebecca L. Seibel & Anna Shkolnik - 2007 - Cognition 105 (3):669-680.
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  • More than one way to see it: Individual heuristics in avian visual computation.Andrea Ravignani, Gesche Westphal-Fitch, Ulrike Aust, Martin M. Schlumpp & W. Tecumseh Fitch - 2015 - Cognition 143 (C):13-24.
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  • The nature of the memory buffer in implicit learning: Learning Chinese tonal symmetries.Feifei Li, Shan Jiang, Xiuyan Guo, Zhiliang Yang & Zoltan Dienes - 2013 - Consciousness and Cognition 22 (3):920-930.
    Previous research has established that people can implicitly learn chunks, which do not require a memory buffer to process. The present study explores the implicit learning of nonlocal dependencies generated by higher than finite-state grammars, specifically, Chinese tonal retrogrades and inversions , which do require buffers . People were asked to listen to and memorize artificial poetry instantiating one of the two grammars; after this training phase, people were informed of the existence of rules and asked to classify new poems, (...)
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  • Dog is a dog is a dog: Infant rule learning is not specific to language.Anna Shkolnik Jenny R. Saffran, Seth D. Pollak, Rebecca L. Seibel - 2007 - Cognition 105 (3):669.
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  • What Complexity Differences Reveal About Domains in Language.Jeffrey Heinz & William Idsardi - 2013 - Topics in Cognitive Science 5 (1):111-131.
    An important distinction between phonology and syntax has been overlooked. All phonological patterns belong to the regular region of the Chomsky Hierarchy, but not all syntactic patterns do. We argue that the hypothesis that humans employ distinct learning mechanisms for phonology and syntax currently offers the best explanation for this difference.
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  • How grammar can cope with limited short-term memory: Simultaneity and seriality in sign languages.Carlo Geraci, Marta Gozzi, Costanza Papagno & Carlo Cecchetto - 2008 - Cognition 106 (2):780-804.
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  • Review on "Three Models for the Description of Language" by Noam Chomsky. [REVIEW]Lars Svenonius - 1956 - Journal of Symbolic Logic 23 (1):71-72.
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  • Implicit Acquisition of Grammars With Crossed and Nested Non-Adjacent Dependencies: Investigating the Push-Down Stack Model.Julia Uddén, Martin Ingvar, Peter Hagoort & Karl M. Petersson - 2012 - Cognitive Science 36 (6):1078-1101.
    A recent hypothesis in empirical brain research on language is that the fundamental difference between animal and human communication systems is captured by the distinction between finite-state and more complex phrase-structure grammars, such as context-free and context-sensitive grammars. However, the relevance of this distinction for the study of language as a neurobiological system has been questioned and it has been suggested that a more relevant and partly analogous distinction is that between non-adjacent and adjacent dependencies. Online memory resources are central (...)
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  • Three Models for the Description of Language.N. Chomsky - 1956 - IRE Transactions on Information Theory 2:113-124.
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  • Implicit learning of artificial grammars.Arthur S. Reber - 1967 - Journal of Verbal Learning and Verbal Behavior 6:855-863.
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