Nothing Special   »   [go: up one dir, main page]
Skip to main content
Springer Nature Link
Log in

Using rough sets theory to predict German word stress

  • Posters
  • Conference paper
  • First Online:
KI-94: Advances in Artificial Intelligence (KI 1994)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 861))

Included in the following conference series:

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Institutional subscriptions

Author information

Authors and Affiliations

  1. Institut für Maschinelle Sprachverarbeitung, Universität Stuttgart, Germany

    Stefan Rapp, Michael Jessen & Grzegorz Dogil

Authors
  1. Stefan Rapp
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Michael Jessen
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Grzegorz Dogil
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Bernhard Nebel Leonie Dreschler-Fischer

Rights and permissions

Reprints and permissions

Copyright information

© 1994 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Rapp, S., Jessen, M., Dogil, G. (1994). Using rough sets theory to predict German word stress. In: Nebel, B., Dreschler-Fischer, L. (eds) KI-94: Advances in Artificial Intelligence. KI 1994. Lecture Notes in Computer Science, vol 861. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-58467-6_41

Download citation

  • DOI: https://doi.org/10.1007/3-540-58467-6_41

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-58467-4

  • Online ISBN: 978-3-540-48979-5

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation