| 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 which 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 (also including relevant FP7 actions such as QTLeap, LIDER and MLI), to be coordinated and supported by CRACKER (ICT-17c). In order to achieve its challenging goals efficiently, CRACKER will build upon and consolidate developments toward massively collaborative MT research initiated through previous EU-funded research activities. These include evaluation and benchmarking 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, training, as well as open-source tool building (MT Marathons). Coordination, communication and outreach in CRACKER will build upon existing networks and communication infrastructures such as the META-FORUM event series and the close collaboration with industrial associations like GALA and TAUS. |
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