Rehm, G., Marheinecke, K., Hegele, S. et al. (44 more authors) (2020) The European language technology landscape in 2020 : language-centric and human-centric AI for cross-cultural communication in multilingual Europe. In: Calzolari, N., Béchet, F., Blache, P., Choukri, K., Cieri, C., Declerck, T., Goggi, S., Isahara, H., Maegaard, B., Mariani, J., Mazo, H., Moreno, A., Odijk, J. and Piperidis, S., (eds.) Proceedings of the 12th Language Resources and Evaluation Conference. 12th International Conference on Language Resources and Evaluation, 11-16 May 2020, Marseille, France. Association for Computational Linguistics (ACL) , pp. 3322-3332. ISBN 9791095546344
Abstract
Multilingualism is a cultural cornerstone of Europe and firmly anchored in the European treaties including full language equality. However, language barriers impacting business, cross-lingual and cross-cultural communication are still omnipresent. Language Technologies (LTs) are a powerful means to break down these barriers. While the last decade has seen various initiatives that created a multitude of approaches and technologies tailored to Europe’s specific needs, there is still an immense level of fragmentation. At the same time, AI has become an increasingly important concept in the European Information and Communication Technology area. For a few years now, AI – including many opportunities, synergies but also misconceptions – has been overshadowing every other topic. We present an overview of the European LT landscape, describing funding programmes, activities, actions and challenges in the different countries with regard to LT, including the current state of play in industry and the LT market. We present a brief overview of the main LT-related activities on the EU level in the last ten years and develop strategic guidance with regard to four key dimensions.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Editors: |
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Copyright, Publisher and Additional Information: | © 2020 European Language Resources Association (ELRA), licensed under a Creative Commons Attribution Non-Commercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/). |
Keywords: | National and international projects; infrastructural issues; policy issues; infrastructures; multilingualism |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 08 Sep 2021 13:19 |
Last Modified: | 08 Sep 2021 13:19 |
Published Version: | https://aclanthology.org/2020.lrec-1.407 |
Status: | Published |
Publisher: | Association for Computational Linguistics (ACL) |
Refereed: | Yes |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:177513 |