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A Reflective Architecture for Robust Language Processing and Learning

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Computational Issues in Fluid Construction Grammar

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7249))

Abstract

Becoming a proficient speaker of a language requires more than just learning a set of words and grammar rules, it also implies mastering the ways in which speakers of that language typically innovate: stretching the meaning of words, introducing new grammatical constructions, introducing a new category, and so on. This paper demonstrates that such meta-knowledge can be represented and applied by reusing similar representations and processing techniques as needed for routine linguistic processing, which makes it possible that language processing makes use of computational reflection.

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Author information

Authors and Affiliations

  1. Sony Computer Science Laboratory Paris, France

    Remi van Trijp

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  1. Remi van Trijp
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Editors and Affiliations

  1. ICREA - Institute for Evolutionary Biology, Universitat Pompeu Fabra - CSIC, PRBB Building, Dr. Aiguader 88, 08003, Barcelona, Spain

    Luc Steels

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van Trijp, R. (2012). A Reflective Architecture for Robust Language Processing and Learning. In: Steels, L. (eds) Computational Issues in Fluid Construction Grammar. Lecture Notes in Computer Science(), vol 7249. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34120-5_3

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  • DOI: https://doi.org/10.1007/978-3-642-34120-5_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-34119-9

  • Online ISBN: 978-3-642-34120-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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