Project description DEENESFRITPL Improving neural machine translation for low-resource language In a world where accurate and timely information has become imperative, journalists are in constant need of the appropriate tools of fast and accurate translation for languages with very few resources. Although neural machine translation technology advances rapidly, it has not managed yet to deliver usable translations for most language pairs in the world due to the lack of data and parallel corpora. The EU-funded GoURMET aims at improving the robustness and applicability of neural machine translation for low-resource language pairs and domains. The project will focus on global content creation by providing machine translations for correction by humans and on international news media monitoring for low-resource language pairs. Show the project objective Hide the project objective Objective Machine translation (MT) is an increasingly important technology for supporting communication in a globalised world. MT technology has gradually increased over the last ten years, but recent advances in neural machine translation (NMT), have resulted in significant interest in industry and have lead to very rapid adoption of the new paradigm (eg. Google, Facebook, UN, World International Patent Office). Although these models have shown significant advances in state-of-the-art performance they are data intensive and require parallel corpora of many millions of human translated sentences for training. Neural Machine translation is currently not able to deliver usable translations for the vast majority of language pairs in the world. This is especially problematic for our user partners, the BBC and DW who need access to fast and accurate translation for languages with very few resources. The aim of GoURMET is to significantly improve the robustness and applicability of neural machine translation for low-resource language pairs and domains. GoURMET has five objectives:- Development of a high-quality machine translation for under-resourced language pairs and domains;- Adaptable to new and emerging languages and domains;- Development of tools for analysts and journalists;- Sustainable, maintainable platform and services;- Dissemination and communication of project results to stakeholders and user group.The project will focus on two use cases:- Global content creation - managing content creation in several languages efficiently by providing machine translations for correction by humans;- Media monitoring for low resource language pairs - tools to address the challenge of international news monitoring problem.The outputs of the project will be field-tested at partners BBC and DW, and the platform will be further validated through innovation intensives such as the BBC NewsHack. Fields of science social sciencesmedia and communicationsjournalism Keywords low-resource AI language diversity under-resourced languages Programme(s) H2020-EU.2.1.1. - INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT) Main Programme Topic(s) ICT-29-2018 - A multilingual Next Generation Internet Call for proposal H2020-ICT-2018-20 See other projects for this call Sub call H2020-ICT-2018-2 Funding Scheme RIA - Research and Innovation action Coordinator THE UNIVERSITY OF EDINBURGH Net EU contribution € 948 047,50 Address OLD COLLEGE, SOUTH BRIDGE EH8 9YL Edinburgh United Kingdom See on map Region Scotland Eastern Scotland Edinburgh Activity type Higher or Secondary Education Establishments Links Contact the organisation Opens in new window Website Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Total cost € 948 047,50 Participants (4) Sort alphabetically Sort by Net EU contribution Expand all Collapse all UNIVERSIDAD DE ALICANTE Spain Net EU contribution € 385 521,25 Address CAMPUS DE SAN VICENTE RASPEIG 03690 Alicante See on map Region Este Comunitat Valenciana Alicante/Alacant Activity type Higher or Secondary Education Establishments Links Contact the organisation Opens in new window Website Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Total cost € 385 521,25 UNIVERSITEIT VAN AMSTERDAM Netherlands Net EU contribution € 490 567,50 Address SPUI 21 1012WX Amsterdam See on map Region West-Nederland Noord-Holland Groot-Amsterdam Activity type Higher or Secondary Education Establishments Links Contact the organisation Opens in new window Website Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Total cost € 490 567,50 BRITISH BROADCASTING CORPORATION United Kingdom Net EU contribution € 549 462,50 Address PORTLAND PLACE BROADCASTING HOUSE W1A 1AA London See on map Region London Inner London — West Westminster Activity type Public bodies (excluding Research Organisations and Secondary or Higher Education Establishments) Links Contact the organisation Opens in new window Website Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Total cost € 549 462,50 DEUTSCHE WELLE Germany Net EU contribution € 532 500,00 Address KURT SCHUMACHER STRASSE 3 53113 Bonn See on map Region Nordrhein-Westfalen Köln Bonn, Kreisfreie Stadt Activity type Public bodies (excluding Research Organisations and Secondary or Higher Education Establishments) Links Contact the organisation Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Total cost € 532 500,00
