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The European Language Technology Landscape in 2020: Language-Centric and Human-Centric AI for Cross-Cultural Communication in Multilingual Europe

Authors: Rehm, Georg; Marheinecke, Katrin; Hegele, Stefanie; Piperidis, Stelios; Bontcheva, Kalina; Hajic, Jan; Choukri, Khalid; +40 Authors

The European Language Technology Landscape in 2020: Language-Centric and Human-Centric AI for Cross-Cultural Communication in Multilingual Europe

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.

Comment: Proceedings of the 12th Language Resources and Evaluation Conference (LREC 2020). To appear

Countries
Finland, Netherlands, Denmark, Croatia, Belgium, France
Keywords

Computer. Automation, 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), national and international projects ; infrastructural issues ; policy issues ; infrastructures ; multilingualism, 6121 Languages, Digital Libraries (cs.DL), infrastructures, Computation and Language (cs.CL), National and international projects

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This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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impulse
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