Objective
The project proposes to integrate, extend and harmonise national and regional efforts in the field of lexicography, both modern and historical, with the goal of creating a sustainable infrastructure which will (1) enable efficient access to high quality lexical data in the digital age, and (2) bridge the gap between more advanced and lesser-resourced scholarly communities working on lexicographic resources. The need for such an infrastructure has clearly emerged out of the lexicographic community within the European Network of e-Lexicography COST Action which will end in 2017.
Current lexicographic resources, both modern and historical, have different levels of structuring and are not equally suitable for application in other fields, e.g. Natural Language Processing. The project will develop strategies, tools and standards for extracting, structuring and linking lexicographic resources to unlock their full potential for Linked Open Data and the Semantic Web, as well as in the context of digital humanities.
The project will help researchers create, access, share, link, analyse, and interpret heterogeneous lexicographic data across national borders, paving the way for ambitious, transnational, data-driven advancements in the field, while significantly reducing a duplication of effort across disciplinary boundaries.
ELEXIS will be carried out by a balanced consortium with distributed geographical origins. It is composed of content-holding institutions and researchers with complementary backgrounds - lexicography, digital humanities, language technology and standardisation - a crucial feature required to address the multi-disciplinary objectives of the project. In cooperation with CLARIN and DARIAH, it will focus on defining and providing common interoperability standards, workflows, conceptual models and data services as well as training and education activities focusing on user needs and cross-disciplinary fertilisations.
Fields of science
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
Keywords
Programme(s)
Funding Scheme
RIA - Research and Innovation actionCoordinator
1000 Ljubljana
Slovenia
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Participants (18)
Legal entity other than a subcontractor which is affiliated or legally linked to a participant. The entity carries out work under the conditions laid down in the Grant Agreement, supplies goods or provides services for the action, but did not sign the Grant Agreement. A third party abides by the rules applicable to its related participant under the Grant Agreement with regard to eligibility of costs and control of expenditure.
1000 LJUBLJANA
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
602 00 Brno
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
2311 GJ Leiden
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00185 Roma
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H91 Galway
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1010 Wien
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11000 Beograd
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
1068 Budapest
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1113 Sofia
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1099 085 Lisboa
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6350310 Tel Aviv
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
00185 Roma
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1219 Kobenhavn
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1165 Kobenhavn
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54296 Trier
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10119 Tallinn
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28014 Madrid
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Legal entity other than a subcontractor which is affiliated or legally linked to a participant. The entity carries out work under the conditions laid down in the Grant Agreement, supplies goods or provides services for the action, but did not sign the Grant Agreement. A third party abides by the rules applicable to its related participant under the Grant Agreement with regard to eligibility of costs and control of expenditure.
Participation ended
28014 Madrid
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