期刊
MACHINE TRANSLATION
卷 25, 期 2, 页码 127-144出版社
SPRINGER
DOI: 10.1007/s10590-011-9090-0
关键词
Free/open-source machine translation; Rule-based machine translation; Apertium; Shallow transfer; Finite-state transducers
资金
- Spanish Ministry of Science and Innovation [TIN2009-14009-C02-01]
- Ministry of Industry, Tourism and Commerce of Spain
- Ministry of Education and Science of Spain
- Ministry of Science and Technology of Spain
- Government of Catalonia
- Ministry of Foreign Affairs of Romania
- Universitat d'Alacant
- Universidade de Vigo
- Ofis ar Brezhoneg
- Google Summer of Code
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.
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