Project description
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.
Fields of science
Programme(s)
Funding Scheme
RIA - Research and Innovation action
Coordinator
EH8 9YL Edinburgh
United Kingdom
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Participants (4)
03690 Alicante
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1012WX Amsterdam
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W1A 1AA London
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53113 Bonn
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