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

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• 作者：Mikel L. Forcada (1)
  Mireia Ginest铆-Rosell (1)
  Jacob Nordfalk (2)
  Jim O鈥橰egan (3)
  Sergio Ortiz-Rojas (4)
  Juan Antonio P茅rez-Ortiz (1)
  Felipe S谩nchez-Mart铆nez (1) fsanchez@dlsi.ua.es
  Gema Ram铆rez-S谩nchez (4)
  Francis M. Tyers (1)
• 关键词：Free/open ; source machine translation &#8211 ; Rule ; based machine translation &#8211 ; Apertium &#8211 ; Shallow transfer &#8211 ; Finite ; state transducers
• 刊名：Machine Translation
• 出版时间：June 2011
• 出版年：2011
• 期刊代码：36_09226567
• 类别：cp
• 卷：25
• 期：2
• 页码：127-144
• 数据来源：sp

摘要

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.