Tiburon: a weighted tree automata toolkit

  • Authors:
  • Jonathan May;Kevin Knight

  • Affiliations:
  • Information Sciences Institute, University of Southern California, Marina Del Rey, CA;Information Sciences Institute, University of Southern California, Marina Del Rey, CA

  • Venue:
  • CIAA'06 Proceedings of the 11th international conference on Implementation and Application of Automata
  • Year:
  • 2006

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Abstract

The availability of weighted finite-state string automata toolkits made possible great advances in natural language processing. However, recent advances in syntax-based NLP model design are unsuitable for these toolkits. To combat this problem, we introduce a weighted finite-state tree automata toolkit, which incorporates recent developments in weighted tree automata theory and is useful for natural language applications such as machine translation, sentence compression, question answering, and many more.