Aivars Bērziņš
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 4
- Ēriks Ajausks 2
- Kaspars Kauliņš 2
- Jūlija Meļņika 2
- Inguna Skadiņa 2
- Indra Sāmīte 2
- Victoria Arranz 1
- Khalid Choukri 1
- Miltos Deligiannis 1
- Dimitrios Galanis 1
- Maria Giagkou 1
- Katerina Gkirtzou 1
- Dimitris Gkoumas 1
- Annika Grützner-Zahn 1
- Rihards Kalniņš 1
- Athanasia Kolovou 1
- Penny Labropoulou 1
- Andis Lagzdiņš 1
- Elena Leitner 1
- Valérie Mapelli 1
- Katrin Marheinecke 1
- Hélène Mazo 1
- Simon Ostermann 1
- Stelios Piperidis 1
- Stefania Racioppa 1
- Georg Rehm 1
- Mickaël Rigault 1
- Roberts Rozis 1
- Leon Voukoutis 1