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  1.  46
    Children's Grammars Grow More Abstract with Age—Evidence From an Automatic Procedure for Identifying the Productive Units of Language.Gideon Borensztajn, Willem Zuidema & Rens Bod - 2009 - Topics in Cognitive Science 1 (1):175-188.
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  2.  19
    Thomas' Theorem Meets Bayes' Rule: A Model of the Iterated Learning of Language.Vanessa Ferdinand & Willem Zuidema - 2009 - In N. A. Taatgen & H. van Rijn (eds.), Proceedings of the 31st Annual Conference of the Cognitive Science Society. pp. 1786--1791.
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  3.  25
    The Importance of Social Learning in the Evolution of Cooperation and Communication.Willem Zuidema - 2002 - Behavioral and Brain Sciences 25 (2):283-284.
    The new emphasis that Rachlin gives to social learning is welcome, because its role in the emergence of altruism and communication is often underestimated. However, Rachlin's account is underspecified and therefore not satisfactory. I argue that recent computational models of the evolution of language show an alternative approach and present an appealing perspective on the evolution and acquisition of a complex, altruistic behavior like syntactic language.
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  4.  28
    How Did We Get From There to Here in the Evolution of Language?Willem Zuidema & Bart de Boer - 2003 - Behavioral and Brain Sciences 26 (6):694-695.
    Jackendoff's scenario of the evolution of language is a major contribution towards a more rigorous theory of the origins of language, because it is theoretically constrained by a testable theory of modern language. However, the theoretical constraints from evolutionary theory are not really recognized in his work. We hope that Jackendoff's lead will be followed by intensive cooperation between linguistic theorists and evolutionary modellers.
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  5.  12
    On the Structural Ambiguity in Natural Language That the Neural Architecture Cannot Deal With.Rens Bod, Hartmut Fitz & Willem Zuidema - 2006 - Behavioral and Brain Sciences 29 (1):71-72.
    We argue that van der Velde's & de Kamps's model does not solve the binding problem but merely shifts the burden of constructing appropriate neural representations of sentence structure to unexplained preprocessing of the linguistic input. As a consequence, their model is not able to explain how various neural representations can be assigned to sentences that are structurally ambiguous.
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