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 that 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 COST Action "European Network of e-Lexicography", which ended in 2017.
Current lexicographic resources, both modern and historical, have different levels of structuring and are not equally suitable for application in other fields, such as, for instance, Natural Language Processing. The project will develop strategies, tools and standards for extracting, structuring and linking lexicographic resources in order 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, the ELEXIS consortium 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.
This project is funded from the European Union’s Horizon 2020 Research and Innovation Programme under the Grant Agreement No. 731015.