Project description
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.
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.
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.
- humanities languages and literature general language studies
- social sciences economics and business business and management commerce
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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.
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.
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
FP7-ICT-2007-1
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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.
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.
Coordinator
1165 KOBENHAVN
Denmark
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Participants (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
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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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