On Dispersed and Choice Iteration in Incrementally Learnable Dependency Types

  • Denis Béchet
  • Alexandre Dikovsky
  • Annie Foret
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6736)


We study learnability of Categorial Dependency Grammars (CDG), a family of categorial grammars expressing all kinds of projective, discontinuous and repeatable dependencies. For these grammars, it is known that they are not learnable from dependency structures.

We propose two different ways of modelling the repeatable dependencies through iterated types and the two corresponding families of CDG which cannot distinguish between the dependencies repeatable at least K times and those repeatable any number of times. For both we show that they are incrementally learnable in the limit from dependency structures.


Grammatical inference Categorial grammar Dependency grammar Incremental learning Iterated types 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Denis Béchet
    • 1
  • Alexandre Dikovsky
    • 1
  • Annie Foret
    • 2
  1. 1.LINA UMR CNRS 6241Université de NantesFrance
  2. 2.IRISA, Université de Rennes 1France

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