Advertisement

Current Trends in Grammatical Inference

  • Colin De La Higuera
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1876)

Abstract

Grammatical inference has historically found it’s first theoretical results in the field of inductive inference, but it’s first applications in the one of Syntactic and Structural Pattern Recognition. In the mid nineties, the field emancipated and researchers from a variety of communities moved in: Computational Linguistics, Natural Language Processing, Algorithmics, Speech Recognition, Bio-Informatics, Computational Learning Theory, Machine Learning. We claim that this interaction has been fruitful and allowed in a few years the appearance of formal theoretical results establishing the quality or not of the Grammatical Inference techniques, and probably more importantly the discovery of new algorithms that can infer a variety of types of grammars and automata from heterogeneous data.

References

  1. 1.
    Angluin, D: On the Complexity of Minimum Inference of Regular Sets. Information and Control 39 (1978) 337–350.zbMATHCrossRefMathSciNetGoogle Scholar
  2. 2.
    Bunke, H., Sanfeliu, A. (eds): Syntactic and Structural Pattern Recognition, Theory and Applications. Series in Computer Science 7, World Scientific, Singapore New Jersey London Hong Kong (1990).Google Scholar
  3. 3.
    Gold, M.E.: Language Identification in the Limit. Information and Control 10-5 (1967) 447–474.CrossRefGoogle Scholar
  4. 4.
    de la Higuera, C., Parekh, R. The grammatical inference homepage: http://www.univ-stetienne.fr/eurise/gi/gi.html and http://www.cs.iastate.edu/~honavar/gi/gi.html.
  5. 5.
    Honavar, V., Slutzki, G. (eds.): Grammatical Inference, Proceedings of ICGI’ 98. Lecture Notes in Artificial Intelligence Vol. 1433, Springer Verlag, Berlin Heidelberg New York (1998).Google Scholar
  6. 6.
    Miclet, L, de la Higuera, C. (eds.): Grammatical Inference: Learning Syntax from Sentences, Proceedings of ICGI’ 96. Lecture Notes in Artificial Intelligence Vol. 1147, Springer Verlag, Berlin Heidelberg New York (1996).Google Scholar
  7. 7.
    Lang, K., Pearlmutter, B.: the Abbadingo competition. http://abbadingo.cs.unm.edu/ (1997).
  8. 8.
    Lang, K., Pearlmutter, B., Coste, F.: the Gowachin Learning Competition http://www.irisa.fr/Gowachin/ (1998).
  9. 9.
    Oncina J., Carrasco, R. (eds): Grammatical Inference and Applications, Proceedings of ICGI’ 94. Lecture Notes in Artificial Intelligence Vol. 862, Springer Verlag, Berlin Heidelberg New York (1994).Google Scholar
  10. 10.
    Pitt, L.: Inductive Inference, DFA’s, and Computational Complexity. In: Jantke, K. (ed): Analogical and Inductive Inference. Lecture Notes in Artificial Intelligence Vol. 397, Springer-Verlag, Berlin Heidelberg New York (1989) 18–44.Google Scholar
  11. 11.
    Sakakibara, Y.: Recent Advances of Grammatical Inference. Theoretical Computer Science 185 (1997) 15–45.zbMATHCrossRefMathSciNetGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2000

Authors and Affiliations

  • Colin De La Higuera
    • 1
  1. 1.EURISEUniversitée Saint-EtienneFrance

Personalised recommendations