Objective
The ultimate goal of CLARIN is the construction and operation of a shared distributed infrastructure that aims at making language resources and technology available to the humanities and social sciences research communities at large. The preparatory phase will pave the way for implementation along 4 dimensions: Funding and governance: The aim is to bring together the funding agencies and to work out a ready-to-sign draft agreement between the funding agencies in the participating countries about governance, financing, construction and operation of the infrastructure. Technical: The technical objective is to provide a detailed specification of the infrastructure, agreement on data and interoperability standards to be adopted, and a running, validated prototype based on these specifications. The validation should cover technical, linguistic and user aspects. Language: For the validation the prototype will be populated with a selection of language resources and technologies for all participating languages. The objective is to deliver a sufficiently populated, and thoroughly tested prototype that demonstrates the adequacy of the approach for all participating languages. User: In order to fully exploit the potential of what language resources and technology have to offer to the humanities and social sciences communities we will: (i) make an analysis of current practice in the use of language technology in the humanities in order to establish the needs; (ii) launch and monitor typical humanities projects in order to validate the prototype and its specifications; (iii) create awareness in the humanities and social sciences communities of the potential of the use of language resources and technology to improve or innovate their research; (iv) bring together the humanities and language technology communities in order to ensure lasting synergies.
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: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
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-INFRASTRUCTURES-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
3584 CS Utrecht
Netherlands
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Participants (35)
80539 MUNCHEN
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1068 Budapest
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OX1 2JD Oxford
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050711 Bucuresti
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1749 016 Lisboa
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08002 Barcelona
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1113 SOFIA
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75794 Paris
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10000 Zagreb
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1165 Kobenhavn
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5020 Bergen
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72074 Tuebingen
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MSD 2080 MSIDA
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116 36 Praha 1
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2311 GJ Leiden
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22100 LUND
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00014 HELSINGIN YLIOPISTO
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700506 Iasi
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151 25 MAROUSSI
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00185 Roma
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50-370 Wroclaw
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100 44 Stockholm
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67663 Kaiserslautern
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S10 2TN SHEFFIELD
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01-248 WARSZAWA
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75013 Paris
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LA1 4YW LANCASTER
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1010 WIEN
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51005 TARTU
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02101 Espoo
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3000 Leuven
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1459 Riga
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34469 Maslak, Istanbul
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101 Reykjavik
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LT-44248 KAUNAS
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