Using ontologies to interlink linguistic annotations and improve their accuracy

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© 2016 Antonio Pareja-Lora.

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For the new approaches to language e-learning (e.g. language blended learning, language autonomous learning or mobile-assisted language learning) to succeed, some automatic functions for error correction (for instance, in exercises) will have to be included in the long run in the corresponding environments and/or applications. A possible way to achieve this is to use some Natural Language Processing (NLP) functions within language e-learning applications. These functions should be based on some truly reliable and wide-coverage linguistic annotation tools (e.g. a Part-Of-Speech (POS) tagger, a syntactic parser and/or a semantic tagger). However, linguistic annotation tools usually introduce a not insignificant rate of errors and ambiguities when tagging, which prevents them from being used ‘as is’ for this purpose. In this paper, we present an annotation architecture and methodology that has helped reduce the rate of errors in POS tagging, by making several POS taggers interoperate and supplement each other. We also introduce briefly the set of ontologies that have helped all these tools intercommunicate and collaborate in order to produce a more accurate joint POS tagging, and how these ontologies were used towards this end. The resulting POS tagging error rate is around 6%, which should allow this function to be included in language e-learning applications for the purpose aforementioned.

Keywords: ontology, interoperability, POS tagging, accuracy, linguistic annotation, tools.


Borst, W. N. (1997). Construction of engineering ontologies. PhD thesis. Enschede. Netherlands: University of Twente.

Gruber, T. R. (1993). A translation approach to portable ontologies. Journal on Knowledge Acquisition, 5(2), 199-220. Retrieved from

Pareja-Lora, A. (2012a). Providing linked linguistic and semantic web annotations – The OntoTag hybrid annotation model. Saarbrücken: LAP – LAMBERT Academic Publishing.

Pareja-Lora, A. (2012b). OntoTag: a linguistic and ontological annotation model suitable for the semantic web. PhD thesis. Madrid: Universidad Politécnica De Madrid. Retrieved from

Pareja-Lora, A., & Aguado de Cea, G. (2010). Ontology-based interoperation of linguistic tools for an improved lemma annotation in Spanish. In Proceedings of the 7th Conference on Language Resources and Evaluation (LREC 2010) (pp. 1476-1482). Valletta, Malta: ELDA.

Urbano-Mendaña, M., Corpas-Pastor, G., & Mitkov, R. (2013). NLP-enhanced self-study learning materials for quality healthcare in Europe. In Proceedings of the “Workshop on optimizing understanding in multilingual hospital encounters”. 10th International Conference on Terminology and Artificial Intelligence (TIA’2013) (pp. 29-32). Paris, France: Laboratoire d’Informatique de Paris Nord (LIPN).

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Pareja-Lora, Antonio. (2016). Using ontologies to interlink linguistic annotations and improve their accuracy. In Antonio Pareja-Lora, Cristina Calle-Martínez, Pilar Rodríguez-Arancón (Eds), New perspectives on teaching and working with languages in the digital era (pp. 351-362).

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