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ZENODO
Report . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Report . 2025
License: CC BY
Data sources: Datacite
ZENODO
Report . 2025
License: CC BY
Data sources: Datacite
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CLARIN at Universities

Authors: Fišer, Darja; Krauwer, Steven;

CLARIN at Universities

Abstract

On 4 and 5 November 2019, the CLARIN Knowledge Sharing Infrastructure Committee organised a workshop on the experience of representatives from national consortia with the integration of CLARIN content into university programs. Twenty experts and national coordinators took part in the event organized at Utrecht University. The workshop was preceded by a survey that collected data on 55 courses taught at 31 universities across 20 European countries since 2008, reaching nearly 6,000 students per year. Most classes are taught at the master's level and fall under the discipline of Linguistics & Language. While rare, Digital Humanities, Culture Studies, and Media Studies are represented, as are Computational Linguistics, Information Science, and Computer Science. The two-day workshop uncovered the discrepancies between disciplines in the humanities concerning the integration of CLARIN in university courses; e.g. in computational and corpus linguistics CLARIN content is easily introduced, while in more traditional humanities subjects, e.g. literary, cultural and media studies, teachers find it a lot more difficult to introduce the tools and the repositories offered by CLARIN due to lacking technical skills by both lecturers and students. Read the full report below and browse the slides.

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Keywords

Teaching, research infrastructure, FOS: Languages and literature, Linguistics, Curriculum

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green