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

Objective

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.

Fields of science (EuroSciVoc)

CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.

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Programme(s)

Multi-annual funding programmes that define the EU’s priorities for research and innovation.

Topic(s)

Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.

Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

CSA - Coordination and support action

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) H2020-ICT-2014

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Coordinator

DEUTSCHES FORSCHUNGSZENTRUM FUR KUNSTLICHE INTELLIGENZ GMBH
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 555 688,75
Address
TRIPPSTADTER STRASSE 122
67663 Kaiserslautern
Germany

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Region
Rheinland-Pfalz Rheinhessen-Pfalz Kaiserslautern, Kreisfreie Stadt
Activity type
Research Organisations
Links
Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 555 688,75

Participants (6)

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