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GoURMET SIGNED

Global Under-Resourced MEedia Translation

Total Cost €

EC-Contrib. €

Partnership

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GoURMET project word cloud

Explore the words cloud of the GoURMET project. It provides you a very rough idea of what is the project "GoURMET" about.

industry journalists translations last tools applicability ed few nmt parallel intensive fast mt eg stakeholders global neural supporting correction dw corpora newshack sustainable globalised pairs humans usable gourmet training un millions adoption translation tested facebook intensives maintainable majority monitoring shown communication sentences google domains data performance language machine platform outputs accurate creation office group resource gradually quality ten international media patent translated content rapid significantly resourced languages world vast adaptable human innovation news services models robustness paradigm validated bbc

Project "GoURMET" data sheet

The following table provides information about the project.

Coordinator	THE UNIVERSITY OF EDINBURGH Organization address address: OLD COLLEGE, SOUTH BRIDGE city: EDINBURGH postcode: EH8 9YL website: www.ed.ac.uk contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.
Coordinator Country	United Kingdom [UK]
Total cost	2˙906˙098 €
EC max contribution	2˙906˙098 € (100%)
Programme	1. H2020-EU.2.1.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT))
Code Call	H2020-ICT-2018-2
Funding Scheme	RIA
Starting year	2019
Duration (year-month-day)	from 2019-01-01 to 2021-12-31

Partnership

Take a look of project's partnership.

#	participants	country	role	EC contrib. [€]
1	THE UNIVERSITY OF EDINBURGH THE UNIVERSITY OF EDINBURGH Organization address address: OLD COLLEGE, SOUTH BRIDGE city: EDINBURGH postcode: EH8 9YL website: www.ed.ac.uk contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	UK (EDINBURGH)	coordinator	948˙047.00
2	BRITISH BROADCASTING CORPORATION BRITISH BROADCASTING CORPORATION Organization address address: PORTLAND PLACE BROADCASTING HOUSE city: LONDON postcode: W1A 1AA website: www.bbc.co.uk contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	UK (LONDON)	participant	549˙462.00
3	DEUTSCHE WELLE DEUTSCHE WELLE Organization address address: KURT SCHUMACHER STRASSE 3 city: BONN postcode: 53113 website: n.a. contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	DE (BONN)	participant	532˙500.00
4	UNIVERSITEIT VAN AMSTERDAM UNIVERSITEIT VAN AMSTERDAM Organization address address: SPUI 21 city: AMSTERDAM postcode: 1012WX website: www.uva.nl contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	NL (AMSTERDAM)	participant	490˙567.00
5	UNIVERSIDAD DE ALICANTE UNIVERSIDAD DE ALICANTE Organization address address: CAMPUS DE SAN VICENTE RASPEIG city: ALICANTE postcode: 3690 website: www.ua.es contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	ES (ALICANTE)	participant	385˙521.00

Map

Project 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.

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "GOURMET" project.

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Send me an email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

The information about "GOURMET" are provided by the European Opendata Portal: CORDIS opendata.