Summary
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.
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.
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More information & hyperlinks
| Web resources: | https://cordis.europa.eu/project/id/645357 |
| Start date: | 01-01-2015 |
| End date: | 31-12-2017 |
| Total budget - Public funding: | 999 995,00 Euro - 999 995,00 Euro |
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Original description
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.
Status
CLOSEDCall topic
ICT-17-2014Update Date
26-10-2022
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H2020-EU.2.1.1. INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT)
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Organisations
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| Deutsches Forschungszentrum für Künstliche Intelligenz (DFKI) (Coördinator)
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| ATHINA-EREVNITIKO KENTRO KAINOTOMIAS STIS TECHNOLOGIES TIS PLIROFORIAS, TON EPIKOINONION KAI TIS GNO...
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| EVALUATIONS AND LANGUAGE RESOURCES DISTRIBUTION AGENCY
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| FONDAZIONE BRUNO KESSLER
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| THE UNIVERSITY OF EDINBURGH
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| THE UNIVERSITY OF SHEFFIELD
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| UNIVERZITA KARLOVA (CUNI)