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Spanish Language Technologies Plan

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Future and Emerging Trends in Language Technology. Machine Learning and Big Data (FETLT 2016)

Abstract

The paper aims at introducing the Language Technologies Plan launched by the Spanish State Secretariat for Information Society and Digital Agenda. Since its launch in October 2015, several steps have been taken to integrate Human Language Technologies (HLT) in a number of initiatives targeting different sectors in Public Administration, considered as a driving force to promote HLT industry. The paper outlines the rationale behind the Plan, its objectives and its structure. The paper is divided into three sections: An introduction explaining the rationale behind the adoption of the Plan and its scope of action. The second section outlines the HLT ecosystem in Spain through a SWOT analysis. The third section gives a detailed explanation of the objectives and the adopted structure for the implementation of the Plan. Finally, conclusions are included in the fourth section.

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References

  1. SESIAD: Plan for the Advancement of Language Technology. Spanish State Secretariat for Information Society and Digital Agenda (2015). http://www.agendadigital.gob.es/tecnologias-lenguaje/Bibliotecaimpulsotecnologiaslenguaje/Detalle%20del%20Plan/Plan-Impulso-Tecnologias-Lenguaje.pdf

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  7. BoletĂ­n Oficial de Estado BOE: Norma TĂ©cnica de Interoperabilidad de reutilizaciĂłn de recursos de la informaciĂłn (2013). https://www.boe.es/boe/dias/2013/03/04/pdfs/BOE-A-2013-2380.pdf

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Acknowledgments

The English version of the Spanish Language Technologies Plan has been translated thanks to the team of the Language Interpretation Office (Oficina de InterpretaciĂłn de Lenguas OIL), Spanish Ministry of Foreign Affairs.

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Correspondence to David PĂ©rez Fernandez .

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Fernandez, D.P., Samy, D., Llorens Gonzalez, J.d.D. (2017). Spanish Language Technologies Plan. In: Quesada, J., MartĂ­n Mateos , FJ., LĂłpez Soto, T. (eds) Future and Emerging Trends in Language Technology. Machine Learning and Big Data. FETLT 2016. Lecture Notes in Computer Science(), vol 10341. Springer, Cham. https://doi.org/10.1007/978-3-319-69365-1_4

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  • DOI: https://doi.org/10.1007/978-3-319-69365-1_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-69364-4

  • Online ISBN: 978-3-319-69365-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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