Strategic lazy incremental copy graph unification

  • Authors:
  • Kiyoshi Kogure

  • Affiliations:
  • ATR Interpreting Telephony Research Laboratories, Kyoto, Japan

  • Venue:
  • COLING '90 Proceedings of the 13th conference on Computational linguistics - Volume 2
  • Year:
  • 1990

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Abstract

The strategic lazy incremental copy graph unification method is a combination of two methods for unifying feature structures. One, called the lazy incremental copy graph unification method, achieves structure sharing with constant order data access time which reduces the required memory. The other, called the strategic incremental copy graph unification method, uses an early failure finding strategy which first tries to unify substructures tending to fail in unification; this method is based on stochastic data on the likelihood of failure and reduces unnecessary computation. The combined method makes each feature structure unification efficient and also reduces garbage collection and page swapping occurrences, thus increasing the total efficiency of natural language processing systems mainly based on typed feature structure unification such as natural language analysis and generation systems.