Objective
Despite the rapid advances and accessibility of digital technologies, computational research remains strikingly underdeveloped in the study of early Germanic cultural heritage – especially poetry. This is not due to a lack of interest or material, but to structural obstacles: annotated corpora are scarce, and building them is both time-consuming and undervalued in a field where publication pressure is high. On top of this, the technical complexity of digital methods – which involves, for example, learning Python-programming or XML-TEI markup – deters many scholars, discouraging the integration of computational approaches into mainstream philological research.
ADAPT addresses this bottleneck by harnessing AI technology – in particular large language models (LLMs). At their core, LLMs excel at identifying patterns, a capacity that mirrors a central task in philological inquiry: tracing correspondences and recurring features. On this basis, ADAPT will develop the first replicable workflow for AI-assisted textual analysis on pre-modern sources, drastically lowering the technical threshold for computational analysis and enabling scalable, rigorous exploration of historical texts without requiring advanced programming skills.
This workflow will then be tested on the only poetic translations from Latin into Old Norse to investigate how medieval translators retextualised Latin sources within the Norse poetic system. These unique case studies offer an exceptional opportunity to trace strategies of literary adaptation and cultural negotiation across traditions.
Hosted at the University of Bergen, with secondments at Ljubljana (AI4DH) and UC Berkeley, ADAPT combines philology, translation studies, and digital humanities. The project will promote the responsible integration of AI in the humanities, generating methodological innovation and insights into medieval translation practices, and providing a transferable model for future research on historical textual traditions.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA)
MAIN PROGRAMME
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships
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Call for proposal
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(opens in new window) HORIZON-MSCA-2025-PF
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
5020 Bergen
Norway
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.