Reciprocal Enrichment Between Basque Wikipedia and Machine Translation

  • Iñaki Alegria
  • Unai Cabezon
  • Unai Fernandez de Betoño
  • Gorka Labaka
  • Aingeru Mayor
  • Kepa Sarasola
  • Arkaitz Zubiaga
Part of the Theory and Applications of Natural Language Processing book series (NLP)


In this chapter, we define a collaboration framework that enables Wikipedia editors to generate new articles while they help development of Machine Translation (MT) systems by providing post-edition logs. This collaboration framework was tested with editors of Basque Wikipedia. Their post-editing of Computer Science articles has been used to improve the output of a Spanish to Basque MT system called Matxin. For the collaboration between editors and researchers, we selected a set of 100 articles from the Spanish Wikipedia. These articles would then be used as the source texts to be translated into Basque using the MT engine. A group of volunteers from Basque Wikipedia reviewed and corrected the raw MT translations. This collaboration ultimately produced two main benefits: (i) the change logs that would potentially help improve the MT engine by using an automated statistical post-editing system, and (ii) the growth of Basque Wikipedia. The results show that this process can improve the accuracy of an Rule Based MT (RBMT) system in nearly 10 % benefiting from the post-edition of 50,000 words in the Computer Science domain. We believe that our conclusions can be extended to MT engines involving other less-resourced languages lacking large parallel corpora or frequently updated lexical knowledge, as well as to other domains.


Machine Translation Object Constraint Language Statistical Machine Translation Sentence Pair Parallel Corpus 
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.



This research was supported in part by the Spanish Ministry of Education and Science (OpenMT2, TIN2009-14675-C03-01) and by the Basque Government (Berbatek project, IE09–262). We are indebted to all the collaborators in the project and especially to the editors of the Basque Wikipedia. Elhuyar and Julen Ruiz helped us to collect resources for the customization of the RBMT engine to the domain of Computer Science.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Iñaki Alegria
    • 1
  • Unai Cabezon
    • 2
  • Unai Fernandez de Betoño
    • 3
  • Gorka Labaka
    • 2
  • Aingeru Mayor
    • 2
  • Kepa Sarasola
    • 2
  • Arkaitz Zubiaga
    • 4
  1. 1.Ixa GroupUniversity of the Basque Country UPV/EHUSan SebastiánSpain
  2. 2.Ixa GroupUniversity of the Basque CountrySan SebastiánSpain
  3. 3.Basque Wikipedia and University of the Basque CountrySan SebastiánSpain
  4. 4.CS Department, Blender LabBasque Wikipedia and Queens College, CUNYNew YorkUSA

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