Descrizione del progetto
International cooperation
MEDAR addresses International Cooperation with the Arabic region on Speech and Language Technologies. MEDAR is structured around 3 pillars, 4 main objectives, and a number of instruments.
The 3 pillars are 1) producing a knowledge base on Human Language Technology (HLT) players, existing language resources (LRs) and processing tools, activities and products for Arabic, 2) designing a strong cooperation roadmap between EU and Arabic countries, within the Arabic countries, and between academia and industry and 3) focusing on Machine Translation (MT) and Multilingual Information Retrieval (MLIR) for which required technology components, LRs, benchmarking methodologies will be identified.
The 4 objectives are 1) consolidating a network of players in all areas of HLT, 2) developing the Cooperation Roadmap based on a clear picture of the foreseeable technological trends, market potentials, and cooperation possibilities, 3) Updating the Basic Language Resource Kit: the minimum set of resources and tools necessary for carrying out research and training on LRs and HLT, with a focus on MT and MLIR and 4) Supporting the development of tools and resources, in particular MT and MLIR on the basis of partners technologies and open source code (e.g. Statistical MT, MLIR, and speech recognition) and the framework for their benchmarking.
A variety of instruments will be used to achieve the objectives: Surveys will be conducted as well as market analysis. Partners' background will be exploited to identify the best multilingual open-source tools to customize to Arabic. Expertise on evaluation within the consortium will create the right benchmarking framework. Key achievements will be highlighted for each strategic partnership in addition to the actions to be taken. Human resources will be at the heart of our recommendations. Information will be disseminated through e.g. website and e-newsletter, and a major conference on LRs, tools, and Evaluation for Arabic.
Campo scientifico
CORDIS classifica i progetti con EuroSciVoc, una tassonomia multilingue dei campi scientifici, attraverso un processo semi-automatico basato su tecniche NLP.
CORDIS classifica i progetti con EuroSciVoc, una tassonomia multilingue dei campi scientifici, attraverso un processo semi-automatico basato su tecniche NLP.
Argomento(i)
Invito a presentare proposte
FP7-ICT-2007-1
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Meccanismo di finanziamento
CSA - Coordination and support actionCoordinatore
1165 Kobenhavn
Danimarca
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Partecipanti (14)
-11771 CAIRO
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- EL-HARAL,GIZA
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12567 GIZA
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75794 Paris
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75013 Paris
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75015 PARIS 15
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69365 Lyon
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151 25 Maroussi
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19328 AMMAN
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Tripoli
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10100 RABAT
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3584 CS Utrecht
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627 BIRZEIT
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MK7 6AA Milton Keynes
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