Analysing sentences with networks of evolutionary processors

  • Authors:
  • Gemma Bel Enguix;M. Dolores Jimenez Lopez

  • Affiliations:
  • ,Department of Computer Science, University of Milan-Bicocca, Milan, Italy;Research Group on Mathematical Linguistics, Universitat Rovira i Virgili, Tarragona, Spain

  • Venue:
  • IWINAC'05 Proceedings of the First international work-conference on the Interplay Between Natural and Artificial Computation conference on Artificial Intelligence and Knowledge Engineering Applications: a bioinspired approach - Volume Part II
  • Year:
  • 2005

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Abstract

A very simple implementation of NEPs is introduced to accept and analyze linguistic structures with the shape NPVNP. The formalization takes advantage of NEPs' features -modularity, specialization and parallelism- to develop a syntactic recognizer that is able to distinguish correct sentences working with lineal strings as input and lineal labeled structures as output.