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EMU – A European Multilingual Text Prediction Software

  • Christian Beck
  • Gottfried Seisenbacher
  • Georg Edelmayer
  • Wolfgang Zagler
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4061)

Abstract

EMU is a program that supports disabled people to write text faster and/or with less physical load. The program was developed based on knowledge of the outcome of the R&D project IST-2000-25420 FASTY. This paper shows how the commercially available program EMU was developed with special attention to the test results with the final prototype coming from the EC project.

Keywords

Prediction Engine Language Component Final Prototype Prediction Window Wrong Word 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Edited Final Report for IST-2000-25420 FASTY Faster Typing for Disabled Persons, http://www.fortec.tuwien.ac.at/fasty
  2. 2.
    Zagler, W.L., Seisenbacher, G.: German Language Predictive Typing – Results from a Feasibility Study. In: Vollmar, R., Wagner, R. (eds.) Proceedings of the 7th International Conference on Computers Helping People with Special Needs (ICCHP 2000), Karlsruhe, Germany, pp. 771–779 (2000)Google Scholar
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    Gustavii, E., Pettersson, E.: A Swedish Grammar for Word Prediction, Master’s thesis, Uppsala University, Department of Linguistics (2003)Google Scholar
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    Baroni, M., Matiasek, J., Trost, H.: Wordform- and class-based prediction of the components of German nominal compounds in an AAC system. In: Proceedings of the 19th International Conference on Computational Linguistics (COLING 2002), Taipei, Taiwan (2002)Google Scholar
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    Baroni, M., Matiasek, J.: Exploiting long distance collocational relations in predictive typing. In: Proceedings of the EACL Workshop on Language Modeling for Text Entry Methods (EACL 2003), Budapest, Hungary, pp. 1–8 (2003)Google Scholar
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    3rd Edited Annual Report for Publication (IST-2000-25420 FASTY Faster Typing for Disabled Persons), http://www.fortec.tuwien.ac.at/fasty

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Christian Beck
    • 1
  • Gottfried Seisenbacher
    • 1
  • Georg Edelmayer
    • 1
  • Wolfgang Zagler
    • 1
  1. 1.Institute integrated study’Vienna University of TechnologyViennaAustria

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