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Towards General Algorithms for Grammatical Inference

  • Alexander Clark
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6331)

Abstract

Many algorithms for grammatical inference can be viewed as instances of a more general algorithm which maintains a set of primitive elements, which distributionally define sets of strings, and a set of features or tests that constrain various inference rules. Using this general framework, which we cast as a process of logical inference, we re-analyse Angluin’s famous lstar algorithm and several recent algorithms for the inference of context-free grammars and multiple context-free grammars. Finally, to illustrate the advantages of this approach, we extend it to the inference of functional transductions from positive data only, and we present a new algorithm for the inference of finite state transducers.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Alexander Clark
    • 1
  1. 1.Department of Computer ScienceRoyal Holloway, University of London 

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