Artūrs Vasiļevskis


2021

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Neural Translation for European Union (NTEU)
Mercedes García-Martínez | Laurent Bié | Aleix Cerdà | Amando Estela | Manuel Herranz | Rihards Krišlauks | Maite Melero | Tony O’Dowd | Sinead O’Gorman | Marcis Pinnis | Artūrs Stafanovič | Riccardo Superbo | Artūrs Vasiļevskis
Proceedings of Machine Translation Summit XVIII: Users and Providers Track

The Neural Translation for the European Union (NTEU) engine farm enables direct machine translation for all 24 official languages of the European Union without the necessity to use a high-resourced language as a pivot. This amounts to a total of 552 translation engines for all combinations of the 24 languages. We have collected parallel data for all the language combinations publickly shared in elrc-share.eu. The translation engines have been customized to domain,for the use of the European public administrations. The delivered engines will be published in the European Language Grid. In addition to the usual automatic metrics, all the engines have been evaluated by humans based on the direct assessment methodology. For this purpose, we built an open-source platform called MTET The evaluation shows that most of the engines reach high quality and get better scores compared to an external machine translation service in a blind evaluation setup.

2020

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Customized Neural Machine Translation Systems for the Swiss Legal Domain
Rubén Martínez-Domínguez | Matīss Rikters | Artūrs Vasiļevskis | Mārcis Pinnis | Paula Reichenberg
Proceedings of the 14th Conference of the Association for Machine Translation in the Americas (Volume 2: User Track)

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A Tale of Eight Countries or the EU Council Presidency Translator in Retrospect
Mārcis Pinnis | Toms Bergmanis | Kristīne Metuzāle | Valters Šics | Artūrs Vasiļevskis | Andrejs Vasiļjevs
Proceedings of the 14th Conference of the Association for Machine Translation in the Americas (Volume 2: User Track)

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The Multilingual Anonymisation Toolkit for Public Administrations (MAPA) Project
Ēriks Ajausks | Victoria Arranz | Laurent Bié | Aleix Cerdà-i-Cucó | Khalid Choukri | Montse Cuadros | Hans Degroote | Amando Estela | Thierry Etchegoyhen | Mercedes García-Martínez | Aitor García-Pablos | Manuel Herranz | Alejandro Kohan | Maite Melero | Mike Rosner | Roberts Rozis | Patrick Paroubek | Artūrs Vasiļevskis | Pierre Zweigenbaum
Proceedings of the 22nd Annual Conference of the European Association for Machine Translation

We describe the MAPA project, funded under the Connecting Europe Facility programme, whose goal is the development of an open-source de-identification toolkit for all official European Union languages. It will be developed since January 2020 until December 2021.

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Neural Translation for the European Union (NTEU) Project
Laurent Bié | Aleix Cerdà-i-Cucó | Hans Degroote | Amando Estela | Mercedes García-Martínez | Manuel Herranz | Alejandro Kohan | Maite Melero | Tony O’Dowd | Sinéad O’Gorman | Mārcis Pinnis | Roberts Rozis | Riccardo Superbo | Artūrs Vasiļevskis
Proceedings of the 22nd Annual Conference of the European Association for Machine Translation

The Neural Translation for the European Union (NTEU) project aims to build a neural engine farm with all European official language combinations for eTranslation, without the necessity to use a high-resourced language as a pivot. NTEU started in September 2019 and will run until August 2021.

2019

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MICE
Joachim Van den Bogaert | Heidi Depraetere | Tom Vanallemeersch | Frederic Everaert | Koen Van Winckel | Katri Tammsaar | Ingmar Vali | Tambet Artma | Piret Saartee | Laura Katariina Teder | Artūrs Vasiļevskis | Valters Sics | Johan Haelterman | David Bienfait
Proceedings of Machine Translation Summit XVII: Translator, Project and User Tracks