Aivars Bērziņš
2026
Common European Language Data Space: Development, Current Status, and Future Perspectives
Stelios Piperidis | Penny Labropoulou | Dimitrios Galanis | Khalid Choukri | Andrejs Vasiļjevs | Mitos Deligiannis | Katerina Gkirtzou | Dimitris Gkoumas | Athanasia Kolovou | Leon Voukoutis | Kanella Pouli | Maria Giagkou | Maria Gavriilidou | Katrin Marheinecke | Elena Leitner | Simon Ostermann | Stefania Raccioppa | Kossay Talmoudi | Victoria Arranz | Valérie Mapelli | Helene Mazo | Fernanda González Campo | Shi Yu | Aivars Bērziņš | Andis Lagzdiņš | Georg Rehm
Proceedings of the Fifteenth Language Resources and Evaluation Conference
Stelios Piperidis | Penny Labropoulou | Dimitrios Galanis | Khalid Choukri | Andrejs Vasiļjevs | Mitos Deligiannis | Katerina Gkirtzou | Dimitris Gkoumas | Athanasia Kolovou | Leon Voukoutis | Kanella Pouli | Maria Giagkou | Maria Gavriilidou | Katrin Marheinecke | Elena Leitner | Simon Ostermann | Stefania Raccioppa | Kossay Talmoudi | Victoria Arranz | Valérie Mapelli | Helene Mazo | Fernanda González Campo | Shi Yu | Aivars Bērziņš | Andis Lagzdiņš | Georg Rehm
Proceedings of the Fifteenth Language Resources and Evaluation Conference
Common European Data Spaces (CEDS) are aimed at creating a single market for data across the EU that will power AI innovation. CEDS cover 14 sectors/domains and will allow secure, trustworthy data/AI models exchange between companies, public administrations etc. The Common European Language Data Space (LDS) is part of CEDS and is already made available in beta phase. The paper presents its technical design and implementation, its governance framework as well as use cases that demonstrate its value. LDS aspires to become part of the future European Language Technology ecosystem.
2024
Common European Language Data Space
Georg Rehm | Stelios Piperidis | Khalid Choukri | Andrejs Vasiļjevs | Katrin Marheinecke | Victoria Arranz | Aivars Bērziņš | Miltos Deligiannis | Dimitris Galanis | Maria Giagkou | Katerina Gkirtzou | Dimitris Gkoumas | Annika Grützner-Zahn | Athanasia Kolovou | Penny Labropoulou | Andis Lagzdiņš | Elena Leitner | Valérie Mapelli | Hélène Mazo | Simon Ostermann | Stefania Racioppa | Mickaël Rigault | Leon Voukoutis
Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
Georg Rehm | Stelios Piperidis | Khalid Choukri | Andrejs Vasiļjevs | Katrin Marheinecke | Victoria Arranz | Aivars Bērziņš | Miltos Deligiannis | Dimitris Galanis | Maria Giagkou | Katerina Gkirtzou | Dimitris Gkoumas | Annika Grützner-Zahn | Athanasia Kolovou | Penny Labropoulou | Andis Lagzdiņš | Elena Leitner | Valérie Mapelli | Hélène Mazo | Simon Ostermann | Stefania Racioppa | Mickaël Rigault | Leon Voukoutis
Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
The Common European Language Data Space (LDS) is an integral part of the EU data strategy, which aims at developing a single market for data. Its decentralised technical infrastructure and governance scheme are currently being developed by the LDS project, which also has dedicated tasks for proof-of-concept prototypes, handling legal aspects, raising awareness and promoting the LDS through events and social media channels. The LDS is part of a broader vision for establishing all necessary components to develop European large language models.
2020
The Competitiveness Analysis of the European Language Technology Market
Andrejs Vasiļjevs | Inguna Skadiņa | Indra Samite | Kaspars Kauliņš | Ēriks Ajausks | Jūlija Meļņika | Aivars Bērziņš
Proceedings of the Twelfth Language Resources and Evaluation Conference
Andrejs Vasiļjevs | Inguna Skadiņa | Indra Samite | Kaspars Kauliņš | Ēriks Ajausks | Jūlija Meļņika | Aivars Bērziņš
Proceedings of the Twelfth Language Resources and Evaluation Conference
This paper presents the key results of a study on the global competitiveness of the European Language Technology market for three areas – Machine Translation, speech technology, and cross-lingual search. EU competitiveness is analyzed in comparison to North America and Asia. The study focuses on seven dimensions (research, innovations, investments, market dominance, industry, infrastructure, and Open Data) that have been selected to characterize the language technology market. The study concludes that while Europe still has strong positions in Research and Innovation, it lags behind North America and Asia in scaling innovations and conquering market share.
2019
Competitiveness Analysis of the European Machine Translation Market
Andrejs Vasiļjevs | Inguna Skadiņa | Indra Sāmīte | Kaspars Kauliņš | Ēriks Ajausks | Jūlija Meļņika | Aivars Bērziņš
Proceedings of Machine Translation Summit XVII: Translator, Project and User Tracks
Andrejs Vasiļjevs | Inguna Skadiņa | Indra Sāmīte | Kaspars Kauliņš | Ēriks Ajausks | Jūlija Meļņika | Aivars Bērziņš
Proceedings of Machine Translation Summit XVII: Translator, Project and User Tracks
2018
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- Andrejs Vasiļjevs 5
- Ēriks Ajausks 2
- Victoria Arranz 2
- Dimitrios Galanis 2
- Maria Giagkou 2
- Katerina Gkirtzou 2
- Dimitris Gkoumas 2
- Kaspars Kauliņš 2
- Athanasia Kolovou 2
- Andis Lagzdiņš 2
- Elena Leitner 2
- Valérie Mapelli 2
- Katrin Marheinecke 2
- Hélène Mazo 2
- Jūlija Meļņika 2
- Simon Ostermann 2
- Georg Rehm 2
- Inguna Skadiņa 2
- Indra Sāmīte 2
- Leon Voukoutis 2
- Khalid Choukri 1
- Khalid Choukri 1
- Mitos Deligiannis 1
- Miltos Deligiannis 1
- Maria Gavriilidou 1
- Fernanda González Campo 1
- Annika Grützner-Zahn 1
- Rihards Kalniņš 1
- Penny Labropoulou 1
- Penny Labropoulou 1
- Stelios Piperidis 1
- Stelios Piperidis 1
- Kanella Pouli 1
- Stefania Raccioppa 1
- Stefania Racioppa 1
- Mickaël Rigault 1
- Roberts Rozis 1
- Kossay Talmoudi 1
- Shi Yu (于是) 1