For the purpose of “providing solutions to make European digital services multilingual”, the European Union has earmarked EUR 4 million for Automated Translation in the latest CEF call for proposals.
The Automated Post-editing and Quality Estimation (APE-QUEST) project funded by the EC’s CEF Telecom programme provides a first quality gate and crowdsourcing workflow for the CEF eTranslation machine translation (MT) system.
The NEC TM Data project, which ran from September 2018 to February 2020, aimed to increase the amount of parallel language data within the EU, to promote the flow of translation data, and to lower translation costs.
An excellent example of how EU Council Presidency staff members and public administration translators can utilize AI-powered neural machine translation to facilitate and speed up multilingual communication is demonstrated by Finland. During its 2019 Presidency of the EU Council, Finland set a record for the EU Presidency Translator usage: more than 740 thousand translations containing over 12.7 million words.
