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Learning deterministic regular grammars from stochastic samples in polynomial time

Published online by Cambridge University Press:  15 August 2002

Rafael C. Carrasco  and
Jose Oncina
Rafael C. Carrasco
Affiliation:
Departamento de Lenguajes y Sistemas Informáticos, Universidad de Alicante, 03071 Alicante, Spain; (carrasco@dlsi.ua.es)
Jose Oncina
Affiliation:
Departamento de Lenguajes y Sistemas Informáticos, Universidad de Alicante, 03071 Alicante, Spain; (oncina@dlsi.ua.es)
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Abstract

In this paper, the identification of stochastic regular languages is addressed. For this purpose, we propose a class of algorithms which allow for the identification of the structure of the minimal stochastic automaton generating the language. It is shown that the time needed grows only linearly with the size of the sample set and a measure of the complexity of the task is provided. Experimentally, our implementation proves very fast for application purposes.

Information

Type
Research Article
Information
RAIRO - Theoretical Informatics and Applications , Volume 33 , Issue 1 , January 1999 , pp. 1 - 19
Copyright
© EDP Sciences, 1999

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