Project information
LINDAT/CLARIAH-CZ - Digitální výzkumná infrastruktura pro jazykové technologie, umění a humanitní vědy
(LINDAT/CLARIAH-CZ)
- Project Identification
- LM2023062
- Project Period
- 1/2023 - 12/2026
- Investor / Pogramme / Project type
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Ministry of Education, Youth and Sports of the CR
- Large Infrastructures for Research, Development and Innovation
- MU Faculty or unit
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Faculty of Arts
- PhDr. Michal Lorenz, Ph.D.
- Mgr. Jan Adler
- Mgr. Michal Konečný
- Mgr. Marta Kopáčková
- Mgr. Vlastimil Krejčíř
- Mgr. Hana Kubelková
- Mgr. Daniel Mikšík
- RNDr. Adam Rambousek, Ph.D.
- Mgr. Josef Schwarz
- Mgr. Alžbeta Strakošová
- Bc. Kateřina Šlápotová
- Mgr. Veronika Wölfelová
- Other MU Faculty/Unit
- Faculty of Informatics
- Project Website
- https://digitalia.phil.muni.cz/en
- Keywords
- digital humanities
- Cooperating Organization
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Institute of Philosophy of the ASCR, v. v. i.
Institute of History of the ASCR, v. v. i.
Library of the ASCR, v. v. i.
Masaryk Institute and Archives of the ASCR, v. v. i.
Institute of the Czech Language of the ASCR, v. v. i.
The Moravian Library Brno
National Gallery Prague
National Library of the CR
Charles University
- Responsible person prof. RNDr. Jan Hajič, Dr.
National Cinematographic Archive
National Archives
Terezín Memorial
Terezín Initiative Institute
LINDAT/CLARIAH-CZ is a Digital Research Infrastructure for Language Technologies, Arts and Humanities. It enables the archiving, processing, administration and making available of data, resources and tools from the fields of arts, humanities and social sciences. The goal of the project is to strengthen and expand research enriched with digital resources and tools and to support the teaching of digital humanities across the traditional humanities disciplines of the Faculty of Philosophy.
The goal of the project is to strengthen and promote approaches to research using digital resources and computing capacities that allow solving traditional problems of the humanities with new methods and from a new point of view. CLARIAH is a pan-European network connecting people with information, knowledge, content, methods, tools and technologies provided by Member States. The project seeks to make digital and infrastructure products and systems, as well as scientific articles created using them, visible on a global level. This will be helped by the creation of a local node of the CLARIAH infrastructure and the provision of metadata and links to unique digital resources created by scientists at the FF MU.
Sustainable Development Goals
Masaryk University is committed to the UN Sustainable Development Goals, which aim to improve the conditions and quality of life on our planet by 2030.
Publications
Total number of publications: 10
2024
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Better Low-Resource Machine Translation with Smaller Vocabularies
Text, Speech, and Dialogue, year: 2024
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CzeGPT-2 – Training New Model for Czech Generative Text Processing Evaluated with the Summarization Task
IEEE ACCESS, year: 2024, volume: 2024, edition: 12, DOI
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New Human-Annotated Dataset of Czech Health Records for Training Medical Concept Recognition Models
Text, Speech, and Dialogue, year: 2024
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Recognition of Propaganda Techniques in Newspaper Texts: Fusion of Content and Style Analysis
Expert Systems with Applications, year: 2024, volume: 2024, edition: 251, DOI
2023
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Augmenting Stylometric Features to Improve Detection of Propaganda and Manipulation
Proceedings of the Seventeenth Workshop on Recent Advances in Slavonic Natural Languages Processing, RASLAN 2023, year: 2023
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Clash of data cultures : barriers and opportunities in building Digitalia MUNI ARTS infrastructure
Year: 2023, type: Appeared in Conference without Proceedings
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Five Years of Language Services
Proceedings of the Seventeenth Workshop on Recent Advances in Slavonic Natural Languages Processing, RASLAN 2023, year: 2023
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From DSpace to Islandora: Why and How
code{4}lib journal, year: 2023, edition: 57
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Reproducibility and Robustness of Authorship Identification Approaches
Proceedings of the Seventeenth Workshop on Recent Advances in Slavonic Natural Languages Processing, RASLAN 2023, year: 2023
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Towards Perfection of Machine Learning of Competing Patterns: The Use Case of Czechoslovak Patterns Development
Recent Advances in Slavonic Natural Language Processing (RASLAN 2023), year: 2023