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QT21: Quality Translation 21

Objective

A European Digital Single Market free of barriers, including language barriers, is a stated EU objective to be achieved by 2020. The findings of the META-NET Language White Papers show that currently only 3 of the EU-27 languages enjoy moderate to good support by our machine translation technologies, with either weak (at best fragmentary) or no support for the vast majority of the EU-27 languages. This lack is a key obstacle impeding the free flow of people, information and trade in the European Digital Single Market. Many of the languages not supported by our current technologies show common traits: they are morphologically complex, with free and diverse word order. Often there are not enough training resources and/or processing tools. Together this results in drastic drops in translation quality. The combined challenges of linguistic phenomena and resource scenarios have created a large and under-explored grey area in the language technology map of European languages. Combining support from key stakeholders, QT21 addresses this grey area developing (1) substantially improved statistical and machine-learning based translation models for challenging languages and resource scenarios, (2) improved evaluation and continuous learning from mistakes, guided by a systematic analysis of quality barriers, informed by human translators, (3) all with a strong focus on scalability, to ensure that learning and decoding with these models is efficient and that reliance on data (annotated or not) is minimised. To continuously measure progress, and to provide a platform for sharing and collaboration (QT21 internally and beyond), the project revolves around a series of Shared Tasks, for maximum impact co-organised with WMT. To support early technology transfer, QT21 proposes a Technology Bridge linking ICT-17(a) and (b) projects and opening up the possibility of showing technical feasibility of early research outputs in near to operational environments.

Call for proposal

H2020-ICT-2014

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Sub call

H2020-ICT-2014-1

Coordinator

DEUTSCHES FORSCHUNGSZENTRUM FUR KUNSTLICHE INTELLIGENZ GMBH
Net EU contribution
€ 932 625,00
Address
Trippstadter Strasse 122
67663 Kaiserslautern
Germany

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Region
Rheinland-Pfalz Rheinhessen-Pfalz Kaiserslautern, Kreisfreie Stadt
Activity type
Research Organisations
Other funding
€ 0,00

Participants (13)

RHEINISCH-WESTFAELISCHE TECHNISCHE HOCHSCHULE AACHEN
Germany
Net EU contribution
€ 314 679,00
Address
Templergraben 55
52062 Aachen

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Region
Nordrhein-Westfalen Köln Städteregion Aachen
Activity type
Higher or Secondary Education Establishments
Other funding
€ 0,00
UNIVERSITEIT VAN AMSTERDAM
Netherlands
Net EU contribution
€ 274 089,00
Address
Spui 21
1012WX Amsterdam

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Region
West-Nederland Noord-Holland Groot-Amsterdam
Activity type
Higher or Secondary Education Establishments
Other funding
€ 0,00
DUBLIN CITY UNIVERSITY
Ireland
Net EU contribution
€ 253 503,00
Address
Glasnevin
9 Dublin

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Region
Ireland Eastern and Midland Dublin
Activity type
Higher or Secondary Education Establishments
Other funding
€ 0,00
THE UNIVERSITY OF EDINBURGH
United Kingdom
Net EU contribution
€ 358 215,00
Address
Old College, South Bridge
EH8 9YL Edinburgh

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Region
Eastern Scotland Edinburgh
Activity type
Higher or Secondary Education Establishments
Other funding
€ 0,00
KARLSRUHER INSTITUT FUER TECHNOLOGIE
Germany
Net EU contribution
€ 359 061,00
Address
Kaiserstrasse 12
76131 Karlsruhe

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Region
Baden-Württemberg Karlsruhe Karlsruhe, Stadtkreis
Activity type
Higher or Secondary Education Establishments
Other funding
€ 0,00
CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS
France
Net EU contribution
€ 256 318,00
Address
Rue Michel Ange 3
75794 Paris

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Region
Ile-de-France Ile-de-France Paris
Activity type
Research Organisations
Other funding
€ 0,00
UNIVERZITA KARLOVA
Czechia
Net EU contribution
€ 283 063,00
Address
Ovocny Trh 560/5
116 36 Praha 1

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Region
Praha Hlavní město Praha
Activity type
Higher or Secondary Education Establishments
Other funding
€ 0,00
FONDAZIONE BRUNO KESSLER
Italy
Net EU contribution
€ 322 500,00
Address
Via Santa Croce 77
38122 Trento

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Region
Nord-Est Provincia Autonoma di Trento Trento
Activity type
Research Organisations
Other funding
€ 0,00
THE UNIVERSITY OF SHEFFIELD
United Kingdom
Net EU contribution
€ 290 625,00
Address
Firth Court Western Bank
S10 2TN Sheffield

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Region
Yorkshire and the Humber South Yorkshire Sheffield
Activity type
Higher or Secondary Education Establishments
Other funding
€ 0,00
TAUS BV
Netherlands
Net EU contribution
€ 108 750,00
Address
Oosteinde 9
1483 AB De Rijp

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SME

The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.

Yes
Region
West-Nederland Noord-Holland Alkmaar en omgeving
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Other funding
€ 0,00
TEXT & FORM GMBH
Germany
Net EU contribution
€ 107 500,00
Address
Neue Grunstrasse 25
10719 Berlin

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SME

The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.

Yes
Region
Berlin Berlin Berlin
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Other funding
€ 0,00
TILDE SIA
Latvia
Net EU contribution
€ 116 500,00
Address
Vienibas Gatve 75 A
LV-1004 Riga

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SME

The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.

Yes
Region
Latvija Latvija Rīga
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Other funding
€ 0,00
HONG KONG UNIVERSITY OF SCIENCE AND TECHNOLOGY
Hong Kong
Net EU contribution
€ 0,00
Address
Clear Water Bay Kowloon
999077 Hong Kong

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Activity type
Higher or Secondary Education Establishments
Other funding
€ 20 000,00