An efficient parsing algorithm for Tree Adjoining Grammars

  • Authors:
  • Karin Harbusch

  • Affiliations:
  • DFKI - Deutsches Forschungszentrum für Künstliche Intelligenz, Saarbrücken, F.R.G.

  • Venue:
  • ACL '90 Proceedings of the 28th annual meeting on Association for Computational Linguistics
  • Year:
  • 1990

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Abstract

In the literature, Tree Adjoining Grammars (TAGs) are propagated to be adequate for natural language description --- analysis as well as generation. In this paper we concentrate on the direction of analysis. Especially important for an implementation of that task is how efficiently this can be done, i.e., how readily the word problem can be solved for TAGs. Up to now, a parser with O(n6) steps in the worst case was known where n is the length of the input string. In this paper, the result is improved to O(n4 log n) as a new lowest upper bound. The paper demonstrates how local interpretion of TAG trees allows this reduction.