SProUT – A General-Purpose NLP Framework Integrating Finite-State and Unification-Based Grammar Formalisms

  • Witold Drożdżyński
  • Hans-Ulrich Krieger
  • Jakub Piskorski
  • Ulrich Schäfer
Conference paper

DOI: 10.1007/11780885_35

Part of the Lecture Notes in Computer Science book series (LNCS, volume 4002)
Cite this paper as:
Drożdżyński W., Krieger HU., Piskorski J., Schäfer U. (2006) SProUT – A General-Purpose NLP Framework Integrating Finite-State and Unification-Based Grammar Formalisms. In: Yli-Jyrä A., Karttunen L., Karhumäki J. (eds) Finite-State Methods and Natural Language Processing. FSMNLP 2005. Lecture Notes in Computer Science, vol 4002. Springer, Berlin, Heidelberg

Abstract

In these days, we are witnessing a growing trend of exploiting lightweight linguistic analysis for converting of the vast amount of raw textual data into structured knowledge. Although a considerable number of monolingual and task-oriented NLP systems have been presented, relatively few general-purpose architectures exist, e.g., GATE [1] or ELLOGON [2].

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Witold Drożdżyński
    • 1
  • Hans-Ulrich Krieger
    • 1
  • Jakub Piskorski
    • 1
  • Ulrich Schäfer
    • 1
  1. 1.German Research Center for Artificial Intelligence (DFKI)Language Technology LabSaarbrückenGermany

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