Observatory for Language Resources and Machine Translation in Europe – LT_Observatory

Bente Maegaard; Claus Povlsen; Sussi Olsen; Lina Henriksen; Margaretha Mazura; Vesna Lusicky; Gerhard Budin; Blanca Rodríguez; Luz  Esparza

Observatory for Language Resources and Machine Translation in Europe – LT_Observatory

Bente Maegaard, Claus Povlsen, Sussi Olsen, Lina Henriksen, Margaretha Mazura, Vesna Lusicky, Gerhard Budin, Blanca Rodríguez, Luz Esparza

Institut for Nordiske Studier og Sprogvidenskab

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).

Originalsprog	Engelsk
Titel	Future and Emerging Trends in Language Technology : Machine Learning and Big Data
Redaktører	José F. Quesada, Teresa López-Soto, Francisco J. Martín Mateos
Antal sider	17
Forlag	Springer
Publikationsdato	2017
Sider	20-37
ISBN (Trykt)	ISBN 978-3-319-69364-4
ISBN (Elektronisk)	ISBN 978-3-319-69365-1
Status	Udgivet - 2017

Navn	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Vol/bind	10341
ISSN	0302-9743

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Det Humanistiske Fakultet

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https://link.springer.com/book/10.1007%2F978-3-319-69365-1Licens: Ikke-specificeret
https://link.springer.com/content/pdf/10.1007%2F978-3-319-69365-1.pdf

Citationsformater

Maegaard, B., Povlsen, C., Olsen, S., Henriksen, L., Mazura, M., Lusicky, V., Budin, G., Rodríguez, B., & Esparza, L. (2017). Observatory for Language Resources and Machine Translation in Europe – LT_Observatory. I J. F. Quesada, T. López-Soto, & F. J. Martín Mateos (red.), Future and Emerging Trends in Language Technology: Machine Learning and Big Data (s. 20-37). Springer. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Bind 10341 https://link.springer.com/book/10.1007%2F978-3-319-69365-1

Observatory for Language Resources and Machine Translation in Europe – LT_Observatory. / Maegaard, Bente; Povlsen, Claus; Olsen, Sussi et al.

Future and Emerging Trends in Language Technology: Machine Learning and Big Data. red. / José F. Quesada; Teresa López-Soto; Francisco J. Martín Mateos. Springer, 2017. s. 20-37 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 10341).

Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review

Maegaard, B, Povlsen, C, Olsen, S , Henriksen, L, Mazura, M, Lusicky, V, Budin, G, Rodríguez, B & Esparza, L 2017, Observatory for Language Resources and Machine Translation in Europe – LT_Observatory. i JF Quesada, T López-Soto & FJ Martín Mateos (red), Future and Emerging Trends in Language Technology: Machine Learning and Big Data. Springer, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), bind 10341, s. 20-37. <https://link.springer.com/book/10.1007%2F978-3-319-69365-1>

Maegaard B, Povlsen C, Olsen S , Henriksen L, Mazura M, Lusicky V et al. Observatory for Language Resources and Machine Translation in Europe – LT_Observatory. I Quesada JF, López-Soto T, Martín Mateos FJ, red., Future and Emerging Trends in Language Technology: Machine Learning and Big Data. Springer. 2017. s. 20-37. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 10341).

Maegaard, Bente ; Povlsen, Claus ; Olsen, Sussi et al. / Observatory for Language Resources and Machine Translation in Europe – LT_Observatory. Future and Emerging Trends in Language Technology: Machine Learning and Big Data. red. / José F. Quesada ; Teresa López-Soto ; Francisco J. Martín Mateos. Springer, 2017. s. 20-37 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 10341).

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Observatory for Language Resources and Machine Translation in Europe – LT_Observatory

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