Czech-Sign speech corpus for semantic based machine translation

  • Authors:
  • Jakub Kanis;Jiří Zahradil;Filip Jurčíček;Luděk Müller

  • Affiliations:
  • Department of Cybernetics, University of West Bohemia, Pilsen, Czech Republic;SpeechTech s r o, Pilsen, Czech Republic;Department of Cybernetics, University of West Bohemia, Pilsen, Czech Republic;Department of Cybernetics, University of West Bohemia, Pilsen, Czech Republic

  • Venue:
  • TSD'06 Proceedings of the 9th international conference on Text, Speech and Dialogue
  • Year:
  • 2006

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Abstract

This paper describes progress in a development of the human-human dialogue corpus for machine translation of spoken language We have chosen a semantically annotated corpus of phone calls to a train timetable information center The phone calls consist of inquiries regarding their train traveler plans Corpus dialogue act tags incorporate abstract semantic meaning We have enriched a part of the corpus with Sign Speech translation and we have proposed methods how to do automatic machine translation from Czech to Sign Speech using semantic annotation contained in the corpus.