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International Workshop on Future and Emerging Trends in Language Technology

FETLT 2016: Future and Emerging Trends in Language Technology. Machine Learning and Big Data pp 20–37Cite as

Observatory for Language Resources and Machine Translation in Europe – LT_Observatory

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10341))

Abstract

The European Digital Single Market, one of the main goals of Europe 2020, is still fragmented due to language barriers. Language technologies (LT), like Machine Translation (MT) solutions, are key elements for solving this fragmentation. Nevertheless, it is necessary to compile, benchmark the quality and facilitate the access to Language Resources to build successful MT solutions. With these aims, the LT_Observatory project has been developed (2014–2016). The project was funded by the European Commission through the H2020 programme. This article describes the main outputs:

  • An on-line catalogue of language resources in existing pools and other national resources based on pre-identified user needs.

  • Methodologies for improving the quality and usability of language resources.

  • National and regional language strategies, policies and funding sources to support language technologies.

  • An EcoGuide that aims to adapt the findings of the LT_Observatory project for various stakeholder groups providing practical information for operational usability of LRs and tools for MT application, funding opportunities, and recommendations geared at European, national and regional policy and decision makers.

This project has been carried out by a team of five EU partners with complementary expertise: ZABALA (EU project management and community engagement), EMF (European Multimedia Forum with experience in outreach/social media, and funding, e.g. ESIF and combined funding), LT Innovate (the Language Technology Industry Association), CLARIN ERIC (LT resources and infrastructure, including a Virtual Language Observatory), and University of Vienna/InfoTerm (international information centre for terminology).

All the authors contributed equally to this work.

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Notes

  1. 1.

    http://www.cracking-the-language-barrier.eu/wp-content/uploads/SRIA-V0.9-final-online.pdf.

  2. 2.

    http://www.lt-innovate.org/lt-observe/language-resources-observatory.

  3. 3.

    E.g. in the Introduction to the 2014/15 work programmes, p. 10, http://ec.europa.eu/research/participants/data/ref/h2020/wp/2014_2015/main/h2020-wp1415-intro_en.pdf.

  4. 4.

    http://ec.europa.eu/regional_policy/sources/docgener/guides/synergy/synergies_en.pdf.

  5. 5.

    https://hbr.org/2014/09/whats-your-language-strategy.

  6. 6.

    https://ec.europa.eu/cefdigital/wiki/display/CEFDIGITAL/eTranslation.

  7. 7.

    https://ec.europa.eu/digital-single-market/en/news/language-technologies-round-table.

  8. 8.

    http://www.agendadigital.gob.es/tecnologias-lenguaje/Paginas/plan-impulso-tecnologias-lenguaje.aspx.

  9. 9.

    http://www.ahg.gov.ie/app/uploads/2015/07/20-Year-Strategy-English-version.pdf.

  10. 10.

    Information was gathered through direct contacts with Managing Authorities and agencies in the Member States.

  11. 11.

    For more details, see: How does ESIF work? http://www.lt-innovate.org/lt-observe/how-does-esif-work.

  12. 12.

    Information was gathered in a first round through desk research, and in a second through direct contact with the respective agencies. EUREKA and Eurostars information was collected from the EUREKA (http://www.eurekanetwork.org/eureka-countries) and Eurostars (https://www.eurostars-eureka.eu/eurostars-countries/europe) contacts pages.

  13. 13.

    http://www.lt-innovate.org/lt-observe/mt-ecoguide.

  14. 14.

    http://www.lt-innovate.org/directory/lt-vendors.

  15. 15.

    http://statmt.org/moses/.

  16. 16.

    http://ltinnovate.blogspot.co.at/.

  17. 17.

    https://ec.europa.eu/digital-single-market/en/automated-translation.

  18. 18.

    https://ec.europa.eu/digital-single-market/en/news/connecting-europe-facility-cef-digital-service-infrastructures.

  19. 19.

    http://lr-coordination.eu/.

  20. 20.

    http://www.lt-innovate.org.

  21. 21.

    https://www.clarin.eu/.

  22. 22.

    http://www.meta-net.eu/.

  23. 23.

    http://www.elra.info/.

  24. 24.

    http://www.flarenet.eu/.

  25. 25.

    http://www.taus.net/.

  26. 26.

    http://www.cracking-the-language-barrier.eu.

  27. 27.

    http://www.euromatrix.net.

  28. 28.

    http://www.euromatrixplus.net/.

  29. 29.

    https://www.letsmt.eu.

  30. 30.

    http://www.qt21.eu/launchpad/.

  31. 31.

    https://ec.europa.eu/info/resources-partners/european-masters-translation-emt_en.

  32. 32.

    http://www.iso.org/iso/catalogue_detail.htm?csnumber=59149.

  33. 33.

    https://ec.europa.eu/digital-single-market/en/rolling-plan-ict-standardisation.

  34. 34.

    http://cracker-project.eu/.

  35. 35.

    The LT_Observatory project contributed to the Strategic Research and Innovation Agenda for the Multilingual Digital Single Market, see http://www.cracking-the-language-barrier.eu/wp-content/uploads/SRIA-V0.9-final-online.pdf.

  36. 36.

    Bilingual corpora are “true translation corpora”, whereas two language versions of a multilingual corpus are not necessarily translations of each other.

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Author information

Authors and Affiliations

  1. University of Copenhagen, Copenhagen, Denmark

    Bente Maegaard, Claus Povlsen, Sussi Olsen & Lina Henriksen

  2. EMF, Brussels, Belgium

    Margaretha Mazura & Vesna Lusicky

  3. University of Vienna, Vienna, Austria

    Gerhard Budin

  4. ZABALA Innovation Consulting, S.A., Mutilva, Spain

    Blanca Rodríguez & Ma Luz Esparza

Authors
  1. Bente Maegaard
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  2. Claus Povlsen
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  3. Sussi Olsen
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  4. Lina Henriksen
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  5. Margaretha Mazura
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  6. Vesna Lusicky
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  7. Gerhard Budin
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  8. Blanca Rodríguez
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  9. Ma Luz Esparza
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Corresponding author

Correspondence to Blanca Rodríguez .

Editor information

Editors and Affiliations

  1. University of Seville , Sevilla, Spain

    José F Quesada

  2. University of Seville , Seville, Spain

    Francisco-Jesús Martín Mateos

  3. University of Seville , Seville, Spain

    Teresa López Soto

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Maegaard, B. et al. (2017). Observatory for Language Resources and Machine Translation in Europe – LT_Observatory. In: Quesada, J., Martín Mateos , FJ., López 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_2

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  • DOI: https://doi.org/10.1007/978-3-319-69365-1_2

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