Machine Translation

, Volume 25, Issue 2, pp 127–144

Apertium: a free/open-source platform for rule-based machine translation

  • Mikel L. Forcada
  • Mireia Ginestí-Rosell
  • Jacob Nordfalk
  • Jim O’Regan
  • Sergio Ortiz-Rojas
  • Juan Antonio Pérez-Ortiz
  • Felipe Sánchez-Martínez
  • Gema Ramírez-Sánchez
  • Francis M. Tyers
Article

DOI: 10.1007/s10590-011-9090-0

Cite this article as:
Forcada, M.L., Ginestí-Rosell, M., Nordfalk, J. et al. Machine Translation (2011) 25: 127. doi:10.1007/s10590-011-9090-0

Abstract

Apertium is a free/open-source platform for rule-based machine translation. It is being widely used to build machine translation systems for a variety of language pairs, especially in those cases (mainly with related-language pairs) where shallow transfer suffices to produce good quality translations, although it has also proven useful in assimilation scenarios with more distant pairs involved. This article summarises the Apertium platform: the translation engine, the encoding of linguistic data, and the tools developed around the platform. The present limitations of the platform and the challenges posed for the coming years are also discussed. Finally, evaluation results for some of the most active language pairs are presented. An appendix describes Apertium as a free/open-source project.

Keywords

Free/open-source machine translation Rule-based machine translation Apertium Shallow transfer Finite-state transducers 

Copyright information

© Springer Science+Business Media B.V. 2011

Authors and Affiliations

  • Mikel L. Forcada
    • 1
  • Mireia Ginestí-Rosell
    • 1
  • Jacob Nordfalk
    • 2
  • Jim O’Regan
    • 3
  • Sergio Ortiz-Rojas
    • 4
  • Juan Antonio Pérez-Ortiz
    • 1
  • Felipe Sánchez-Martínez
    • 1
  • Gema Ramírez-Sánchez
    • 4
  • Francis M. Tyers
    • 1
  1. 1.Grup Transducens, Departament de Llenguatges i Sistemes InformàticsUniversitat d’AlacantAlacantSpain
  2. 2.Copenhagen University College of EngineeringCopenhagenDenmark
  3. 3.Eolaistriu TechnologiesThurlesIreland
  4. 4.Prompsit Language EngineeringElcheSpain

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