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A Reflective Architecture for Robust Language Processing and Learning

  • Remi van Trijp
Part of the Lecture Notes in Computer Science book series (LNCS, 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.

Keywords

Design Pattern John Benjamin Routine Processing Unknown Word Transient Structure 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Remi van Trijp
    • 1
  1. 1.Sony Computer Science Laboratory ParisFrance

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