Part-of-speech tagging with neural networks

  • Authors:
  • Helmut Schmid

  • Affiliations:
  • Institute for Computational Linguistics, Stuttgart, Germany

  • Venue:
  • COLING '94 Proceedings of the 15th conference on Computational linguistics - Volume 1
  • Year:
  • 1994

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Abstract

Text corpora which are tagged with part-of-speech information are useful in many areas of linguistic research. In this paper, a new part-of-speech tagging method based on neural networks (Net-Tagger) is presented and its performance is compared to that of a HMM-tagger (Cutting et al., 1992) and a trigram-based tagger (Kempe, 1993). It is shown that the Net-Tagger performs as well as the trigram-based tagger and better than the HMM-tagger.