- Innovative AI for Ancient Languages: Oksana Dereza develops AI tools to aid research on ancient and minority languages, making advanced linguistic analysis accessible without technical expertise.
- Cardamom Project’s Achievements: The project introduces a workbench offering NLP tools like tokenization and POS-tagging for under-resourced languages, focusing on Irish and Indian languages.
- Breaking Barriers in Linguistic Research: Dereza’s work in transfer learning and embedding evaluation techniques aims to overcome data scarcity in studying historical languages, with potential applications across any language.
Industry Impact:
- Enhanced Research Capabilities: Dereza’s AI tools significantly reduce the time and technical barriers for scholars in humanities, streamlining the analysis of ancient texts.
- Broadened Linguistic Understanding: By facilitating access to lesser-studied languages, this technology can deepen our understanding of human culture and linguistic diversity.
- Promoting Cultural Heritage Preservation: Making historical texts easily searchable and explorable encourages public interest and engagement with cultural heritage, supporting preservation efforts.
- Stimulating Interdisciplinary Collaboration: The project exemplifies the potential for collaboration between computer science and humanities, paving the way for more interdisciplinary research initiatives.
- Attracting Investment and Funding: The success of such innovative projects could attract further investment into research combining AI with cultural and linguistic studies, benefiting both technological development and cultural preservation.
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