An HPSG-based generator for German: an experiment in the reusability of linguistic resources

  • Authors:
  • Johannes Matiasek;Harald Trost

  • Affiliations:
  • Austrian Research Institute for Artificial Intelligence, Vienna, Austria;Austrian Research Institute for Artificial Intelligence, Vienna, Austria

  • Venue:
  • COLING '96 Proceedings of the 16th conference on Computational linguistics - Volume 2
  • Year:
  • 1996

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Abstract

We describe the development of a generator for German built by reusing and adapting existing linguistic data and software. Reusability is crucial for the successful application of NLP techniques to real-life problems since it helps to cut down on both development and adaptation effort. However, combining resources not designed to work together is not trivial. We describe the problems arising when integrating three preexisting resources (FUF, a unification-based generator, an HPSG Grammar for German, and X2MorF, a two-level morphology component) and the adaptations necessary to come up with a wide coverage tactical generator for German.