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Cracking the Language Barrier: Coordination, Evaluation and Resources for European MT Research

Obiettivo

The European machine translation (MT) research community is experiencing increased pressure for rapid success – from the legal and political frameworks and schedules of the EU, such as the Digital Single Market, but also from the globalising business world. At the same time, the research community has to cope with a striking disproportion between the scope of the challenges and the available resources, especially for translation to and from languages that have only fragmentary or no technological support at all.
CRACKER pushes towards an improvement of MT research in terms of efficiency and effectiveness by implementing the successful example of other disciplines where massively collaborative research on shared resources – guided by interoperability, standardisation, agreed major challenges and comprehensive success metrics – has led to breakthroughs that would have been impossible otherwise. The nucleus of this new research, development, and innovation strategy towards high-quality MT is the group of projects funded through H2020-ICT-17a/b (partly extending to relevant FP7 actions such as QTLeap, LIDER and MLi), that will be supported by CRACKER (ICT-17c) in coordination, evaluation and resources.
In order to achieve its challenging goals efficiently, CRACKER will build upon, consolidate and extend initiatives for collaborative MT research supported by earlier EU-funded actions. These include evaluation campaigns such as the Workshop on Statistical Machine Translation (WMT) and the International Workshop on Spoken Language Translation (IWSLT), the META-SHARE open infrastructure for sharing language resources and technologies with extensions for MT assembled by QTLaunchPad, and open-source tool building and training (MT Marathons). Coordination, communication and outreach to user communities will build upon existing networks and communication infrastructures such as the META-FORUM event series and strong involvement of industrial associations such as GALA and TAUS.

Campo scientifico

Programma(i)

Argomento(i)

Invito a presentare proposte

H2020-ICT-2014

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Bando secondario

H2020-ICT-2014-1

Meccanismo di finanziamento

CSA - Coordination and support action

Coordinatore

DEUTSCHES FORSCHUNGSZENTRUM FUR KUNSTLICHE INTELLIGENZ GMBH
Contribution nette de l'UE
€ 555 688,75
Indirizzo
Trippstadter strasse 122
67663 Kaiserslautern
Germania

Mostra sulla mappa
Regione
Rheinland-Pfalz Rheinhessen-Pfalz Kaiserslautern, Kreisfreie Stadt
Tipo di attività
Research Organisations
Collegamenti
Altri finanziamenti
€ 0,00

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Data della firma CE 8 Dicembre 2014
Ultimo aggiornamento: 16 Agosto 2022

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Permalink: https://cordis.europa.eu/project/id/645357/it

European Union, 2023