Stochastic Inference of Regular Tree Languages

  • Authors:
  • Rafael C. Carrasco;Jose Oncina;Jorge Calera-Rubio

  • Affiliations:
  • Departamento de Lenguajes y Sistemas Informáticos, Universidad de Alicante, E-03071 Alicante. carrasco@dlsi.ua.es;Departamento de Lenguajes y Sistemas Informáticos, Universidad de Alicante, E-03071 Alicante. oncina@dlsi.ua.es;Departamento de Lenguajes y Sistemas Informáticos, Universidad de Alicante, E-03071 Alicante. calera@dlsi.ua.es

  • Venue:
  • Machine Learning
  • Year:
  • 2001

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Abstract

We generalize a former algorithm for regular language identification from stochastic samples to the case of tree languages. It can also be used to identify context-free languages when structural information about the strings is available. The procedure identifies equivalent subtrees in the sample and outputs the hypothesis in linear time with the number of examples. The results are evaluated with a method that computes efficiently the relative entropy between the target grammar and the inferred one.