Methods for Amharic part-of-speech tagging

  • Authors:
  • Björn Gambäck;Fredrik Olsson;Atelach Alemu Argaw;Lars Asker

  • Affiliations:
  • Swedish Institute of Computer Science, Kista, Sweden and Norwegian University of Science & Technology, Trondheim, Norway;Swedish Institute of Computer Science, Kista, Sweden;Stockholm University, Kista, Sweden;Stockholm University, Kista, Sweden

  • Venue:
  • AfLaT '09 Proceedings of the First Workshop on Language Technologies for African Languages
  • Year:
  • 2009

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Abstract

The paper describes a set of experiments involving the application of three state-of-the-art part-of-speech taggers to Ethiopian Amharic, using three different tagsets. The taggers showed worse performance than previously reported results for English, in particular having problems with unknown words. The best results were obtained using a Maximum Entropy approach, while HMM-based and SVM-based taggers got comparable results.