Modeling inflection and word-formation in SMT

  • Authors:
  • Alexander Fraser;Marion Weller;Aoife Cahill;Fabienne Cap

  • Affiliations:
  • Institut für Maschinelle Sprachverarbeitung Universität Stuttgart, Stuttgart, Germany;Institut für Maschinelle Sprachverarbeitung Universität Stuttgart, Stuttgart, Germany;Educational Testing Service Princeton, NJ;Institut für Maschinelle Sprachverarbeitung Universität Stuttgart, Stuttgart, Germany

  • Venue:
  • EACL '12 Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics
  • Year:
  • 2012

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Abstract

The current state-of-the-art in statistical machine translation (SMT) suffers from issues of sparsity and inadequate modeling power when translating into morphologically rich languages. We model both inflection and word-formation for the task of translating into German. We translate from English words to an underspecified German representation and then use linear-chain CRFs to predict the fully specified German representation. We show that improved modeling of inflection and wordformation leads to improved SMT.