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

Authors:
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
Affiliations:
Grup Transducens, Departament de Llenguatges i Sistemes Informàtics, Universitat d'Alacant, Alacant, Spain;Grup Transducens, Departament de Llenguatges i Sistemes Informàtics, Universitat d'Alacant, Alacant, Spain;Copenhagen University College of Engineering, Copenhagen, Denmark;Eolaistriu Technologies, Thurles, Ireland;Prompsit Language Engineering, Elche, Spain;Grup Transducens, Departament de Llenguatges i Sistemes Informàtics, Universitat d'Alacant, Alacant, Spain;Grup Transducens, Departament de Llenguatges i Sistemes Informàtics, Universitat d'Alacant, Alacant, Spain;Prompsit Language Engineering, Elche, Spain;Grup Transducens, Departament de Llenguatges i Sistemes Informàtics, Universitat d'Alacant, Alacant, Spain
Venue:
Machine Translation
Year:
2011

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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.