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The European Language Technology Landscape in 2020: Language-Centric and Human-Centric AI for Cross-Cultural Communication in Multilingual Europe
The European Language Technology Landscape in 2020: Language-Centric and Human-Centric AI for Cross-Cultural Communication in Multilingual Europe
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.
Comment: Proceedings of the 12th Language Resources and Evaluation Conference (LREC 2020). To appear
- Utrecht University Netherlands
- Université Paris Diderot France
- French Institute for Research in Computer Science and Automation France
- University of Copenhagen Denmark
FOS: Computer and information sciences, Computer Science - Computation and Language, infrastructural issues, Computer Science - Artificial Intelligence, multilingualism, [INFO.INFO-TT] Computer Science [cs]/Document and Text Processing, Computer Science - Digital Libraries, policy issues, [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing, Artificial Intelligence (cs.AI), Digital Libraries (cs.DL), infrastructures, Computation and Language (cs.CL), National and international projects
FOS: Computer and information sciences, Computer Science - Computation and Language, infrastructural issues, Computer Science - Artificial Intelligence, multilingualism, [INFO.INFO-TT] Computer Science [cs]/Document and Text Processing, Computer Science - Digital Libraries, policy issues, [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing, Artificial Intelligence (cs.AI), Digital Libraries (cs.DL), infrastructures, Computation and Language (cs.CL), National and international projects
6 Research products, page 1 of 1
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average Powered byBIP!

- Funder: European Commission (EC)
- Project Code: 825619
- Funding stream: H2020 | RIA
- Funder: European Commission (EC)
- Project Code: 732630
- Funding stream: H2020 | CSA
- Funder: European Commission (EC)
- Project Code: 761758
- Funding stream: H2020 | IA
- Funder: European Commission (EC)
- Project Code: 825627
- Funding stream: H2020 | IA
- Utrecht University Netherlands
- Université Paris Diderot France
- French Institute for Research in Computer Science and Automation France
- University of Copenhagen Denmark
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.
Comment: Proceedings of the 12th Language Resources and Evaluation Conference (LREC 2020). To appear