Jul 7, 2020 | News, Projects
Great news from the world of HLT (that’s Human Language Technology): In the scope of the GoURMET project, our partners at the BBC have completed a very useful tool called GoURMET translate. It helps non-expert users translate text from and into a number of low-resource languages – currently Amharic, Bulgarian, Gujarati, Kyrgyz, Serbian, Swahili and Turkish. (more…)
Mar 26, 2020 | Playground, Projects

Last month, DW participated in the swihack in Bern/Switzerland, hosted by SWI swissinfo.ch. Kay Macquarrie (of DW Innovation) and Elisabetta Tollardo (DW’s Head of Infographics) joined journalists, designers, developers and linguists, from the BBC, SWI, and NZZ to tackle some of the challenges faced by multilingual newsrooms. Participants spent two days developing solutions and better tools – ideally with an open source concept. In this post, we’re documenting the great work done by Kay’s and Elisabetta’s teams. (more…)
Sep 10, 2019 | Meet us @

When: September 13-17
Where: Amsterdam, Netherlands
What is it?
The IBC (International Broadcasting Convention) is an international trade show and conference catering to broadcasters, content creators and distributors, media hardware manufacturers, professional associations, and many other stakeholders in the media industry. (more…)
Apr 17, 2019 | Meet us @

When: April 18th
Where: Cologne, Germany
What is it?
ECIR is short for European Conference on Information Retrieval, a major get-together of IT and media professionals that actually started on April 14th. ECIR Industry Day is the fifth and final day of the event, focusing on applied information retrieval technology and featuring various sessions, demos, and a social program. (more…)
Apr 2, 2019 | News, Projects

The name sounds very haute cuisine, but the only pot the GoURMET consortium will be stirring is that of Global Under-Resourced Media Translation: Started in January 2019 and funded by the EU’s Horizon 2020 program, our latest human language technology (HLT) effort is all about improving the robustness and applicability of neural machine translation (NMT) to low resource languages and domains. (more…)