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
- Faculty of Arts
- 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: 33
2026
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Are We There Yet? A Thorough Evaluation of POS Tagging on Czech
Text, Speech, and Dialogue, 28th International Conference, TSD 2025, year: 2026, DOI
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Can large language models recognize complex language errors such as zeugma?
Engineering Applications of Artificial Intelligence, year: 2026, volume: 181, edition: 5, DOI
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Can LLMs Translate Italy’s Language Varieties?
Proceedings for the Ninth Workshop on Technologies for Machine Translation of Low Resource Languages (LoResMT 2026), year: 2026, DOI
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Evaluating Prompt-Based and Fine-Tuned Approaches to Czech Anaphora Resolution
Text, Speech, and Dialogue, TSD 2025, year: 2026, DOI
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Improving Machine Understanding of Czech Medical Text Using Self-Supervised and Rule-Based Data Augmentation
Modeling Decisions for Artificial Intelligence, 22nd International Conference, MDAI 2025, year: 2026, DOI
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LombardoGraphia: Automatic Classification of Lombard Orthography Variants
Proceedings of the Fifteenth Language Resources and Evaluation Conference (LREC 2026), year: 2026, DOI
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Rebelòt: Datasets and Token-Level Language Identification for Lombard-Italian-English Code-Mixing
Proceedings of the SIGUL 2026 Joint Workshop with ELE, EURALI, and DCLRL "Towards Inclusivity and Equality: Language Resources and Technologies for Under-Resourced and Endangered Languages, year: 2026, DOI
2025
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BenCzechMark : A Czech-Centric Multitask and Multimetric Benchmark for Large Language Models with Duel Scoring Mechanism
TRANSACTIONS OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, year: 2025, volume: 13, edition: 1, DOI
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Efficient Architectures For Low-Resource Machine Translation
Proceedings of the First Workshop on Advancing NLP for Low-Resource Languages associated with the International Conference RANLP 2025, year: 2025
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Evaluating Training Data Construction Strategies for Token-Level Language Identification
Recent Advances in Slavonic Natural Language Processing, RASLAN 2025, year: 2025