It would be much easier if WENT were GOED

  • Authors:
  • Dan Tufis

  • Affiliations:
  • Institute for Computer Technique and Informatics, Bucharest, Romania

  • Venue:
  • EACL '89 Proceedings of the fourth conference on European chapter of the Association for Computational Linguistics
  • Year:
  • 1989

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Abstract

The paper proposes a paradigmatic approach to morphological knowledge acquisition. It addresses the problem of learning from examples rules for word-forms analysis and synthesis. These rules, established by generalizing the training data sets, are effectively used by a built-in interpreter which acts consequently as a morphological processor within the architecture of a natural language question-answering system. The PARADIGM system has no a prior knowledge which should restrict it to a particular natural language, but instead builds up the morphological rules based only on the examples provided, be they in Romanian, English, French, Russian, Slovak and the like.