the Lexical Data Masterclass is back!

Co-organized by DARIAH-EU, the Berlin Brandenburg Academy of Sciences (BBAW), Inria and the Belgrade Center for Digital Humanities, with the support of the French Ministry of Higher Education and Research (MESRI), CLARIN and the European Lexicographic Infrastructure (ELEXIS), the 2018 edition of the Lexical Data Masterclass will take place in Berlin at the BBAW from 3 to 7 December.

LexMC2018 will bring together 20 advanced trainees together with experts to share experiences, methods and techniques for the creation, management and use of lexical data.

The masterclass will cover a number of topics ranging from general models for lexical content and TEI-based representation of lexical data to working efficiently with XML editors. The participants will have a chance to attend different sessions, consult with experts on their own dictionary projects and get to know and test TEI Lex-0, a newly proposed baseline encoding for lexicographic data.

The masterclass will also feature keynotes by Karlheinz Moerth, Director of the Austrian Centre for Digital Humanities at the Austrian Academy of Sciences and Benoit Sagot, head of the ALMAnaCH research team at Inria.

Potential applicants should submit a short proposal presenting their background and interest in the field together with a description of a concrete project involving lexical data that they would like to pursue during the masterclass.

Participation is free of charge. Travel costs and accommodation will be covered for all participants up to a maximum of 600€.

Applications should be made via the Lexical Master Class website: https://lexmc18.sciencesconf.org

Application deadline: 26th October 2018
Notification of acceptance: 5th November 2018

Further inquiries can be made to: lexmc18@sciencesconf.org

For an overview of the last year’s masterclass, see https://digilex.hypotheses.org/386.


Published by

Laurent Romary

Directeur de Recherche at Inria ISO TC 37, chair data models for digital humanities, standards, TEI, XML, open access

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