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A Syntactic Pattern Recognition Approach to Computer Assisted Translation

  • Jorge Civera
  • Juan M. Vilar
  • Elsa Cubel
  • Antonio L. Lagarda
  • Sergio Barrachina
  • Francisco Casacuberta
  • Enrique Vidal
  • David Picó
  • Jorge González
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3138)

Abstract

It is a fact that current methodologies for automatic translation cannot be expected to produce high quality translations. An alternative approach is to use them as an aid to manual translation. We focus on a possible way to help human translators: to interactively provide completions for the parts of the sentences already translated. We explain how finite state transducers can be used for this task and show experiments in which the keystrokes needed to translate printer manuals were reduced to nearly 25% of the original.

Keywords

Machine Translation Target Sentence Posteriori Probability Edition Operation Statistical Machine Translation 
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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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Jorge Civera
    • 1
  • Juan M. Vilar
    • 2
  • Elsa Cubel
    • 1
  • Antonio L. Lagarda
    • 1
  • Sergio Barrachina
    • 2
  • Francisco Casacuberta
    • 1
  • Enrique Vidal
    • 1
  • David Picó
    • 1
  • Jorge González
    • 1
  1. 1.Departamento de Sistemas Informáticos y ComputaciónUniversitat Politècnica de València, Instituto Tecnológico de InformáticaValènciaSpain
  2. 2.Departamento de Lenguajes y Sistemas InformáticosUniversitat Jaume ICastellón de la PlanaSpain

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