The Lexical Data Master Class aims at bringing together 20 trainees together with experts to share experiences, methods and techniques for the creation, management and use of digital lexical data.
Co-organized by DARIAH, the Berlin Brandenburg Academy of Sciences (BBAW), Inria and the Belgrade Center for Digital Humanities, with the support of the German Ministry of Education and Research (BMBF), Clarin and DARIAH-DE, the Lexical Data Master Class will take place in Berlin at the BBAW from 4 to 8 December 2017.
This Master Class is part of a joint French-German program supported by the BMBF and MESRI (French Ministry for Higher Education, Research and Innovation).
The masterclass will cover a wide range of topics ranging from general models for lexical content and TEI-based representation of lexical data to managing digital lexica as online resources and working efficiently with XML editors. The participants will have a chance to attend different sessions and to consult with experts on their own dictionary projects.
The main goals of the master class are to:
- organize a series of hands-on workshops on modeling, managing and disseminating lexical data using standards-compliant tools and methods
- build upon momentum created by DARIAH WG “Lexical Resources”, PARTHENOS and ENeL at a crucial moment when ENeL itself is coming to an end (Sept. 2017)
- give a community of diverse users (advanced PhD students, early stage or established scholars, lexicographers) a chance to work directly with experts in the field
- to produce a wealth of documentation and training materials that can be shared with wider audiences via #dariahTeach and other channels identifying particular challenges and proposing solutions modeling and enriching lexical resources
Potential applicants should submit a short proposal presenting their background and interest in the field together with a description of a particular project involving lexical data that they would like to pursue during the master class.
Participation is free of charge. Travel costs and accommodation will be covered for all participants up to a maximum of 600€.
Application deadline: 20th October 2017
Notification of acceptance: 27th October 2017
