Optimal ambiguity packing in context-free parsers with interleaved unification

  • Authors:
  • Alon Lavie;Carolyn Penstein Rosé

  • Affiliations:
  • Language Technologies Institute, Carnegie Mellon University, Pittsburgh, PA;Learning Research and Development Center, University of Pittsburgh, Pittsburgh, PA

  • Venue:
  • New developments in parsing technology
  • Year:
  • 2004

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Abstract

Ambiguity packing is a well known technique for enhancing the efficiency of context-free parsers. However, in the case of unification-augmented context-free parsers where parsing is interleaved with feature unification, the propagation of feature structures imposes difficulties on the ability of the parser to effectively perform ambiguity packing. We demonstrate that a clever heuristic for prioritizing the execution order of grammar rules and parsing actions can achieve a high level of ambiguity packing that is provably optimal. We present empirical evaluations of the proposed technique, performed with both a Generalized LR parser and a chart parser, that demonstrate its effectiveness.