A Modular Chain of NLP Tools for Basque

  • Arantxa Otegi
  • Nerea Ezeiza
  • Iakes Goenaga
  • Gorka Labaka
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9924)


This work describes the initial stage of designing and implementing a modular chain of Natural Language Processing tools for Basque. The main characteristic of this chain is the deep morphosyntactic analysis carried out by the first tool of the chain and the use of these morphologically rich annotations by the following linguistic processing tools of the chain. It is designed following a modular approach, showing high ease of use of its processors. Two tools have been adapted and integrated to the chain so far, and are ready to use and freely available, namely the morphosyntactic analyzer and PoS tagger, and the dependency parser. We have evaluated these tools and obtained competitive results. Furthermore, we have tested the robustness of the tools on an extensive processing of Basque documents in various research projects.


Machine Translation Linguistic Processing Coreference Resolution Dependency Parser Semantic Role Label 
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 work has received support by the EC’s FP7 (FP7/2007-2013) under grant agreement number 610516: “QTLeap: Quality Translation by Deep Language Engineering Approaches”.


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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Arantxa Otegi
    • 1
  • Nerea Ezeiza
    • 1
  • Iakes Goenaga
    • 1
  • Gorka Labaka
    • 1
  1. 1.IXA GroupUniversity of the Basque Country, UPV/EHUSan SebastianSpain

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