Learning Efficiency of Very Simple Grammars from Positive Data

  • Ryo Yoshinaka
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4754)

Abstract

The class of very simple grammars is known to be polynomial-time identifiable in the limit from positive data. This paper gives even more general discussion on the efficiency of identification of very simple grammars from positive data, which includes both positive and negative results. In particular, we present an alternative efficient inconsistent learning algorithm for very simple grammars.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Ryo Yoshinaka
    • 1
  1. 1.INRIA-LorraineFrance

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