Summary
A 2026 arXiv paper (2607.11808) by Antonio San Martin and Catherine Trekker proposes a human-centered artificial intelligence (HCAI) framework for AI-assisted lexicography. While generative AI offers significant opportunities to enhance lexicographic work, it also raises concerns about the future role of lexicographers and the preservation of linguistic and cultural diversity. Drawing on HCAI principles and prior applications in other language professions, the authors identify four interrelated dimensions for understanding and critically examining AI integration in lexicography: the augmented lexicographer, the sociotechnical context of AI integration, bias, and the design of AI-powered lexicographic tools. The framework argues that AI should augment rather than replace lexicographers, combining high levels of automation with meaningful human control. It further emphasizes preserving professional agency, mitigating AI-generated bias, and designing tools around lexicographers' needs, providing a foundation for future research and for beneficially integrating AI into lexicographic workflows.
Paper Overview
- Field: NLP
- Authors: Antonio San Martin, Catherine Trekker
- Published: 2026-07-13
- arXiv: 2607.11808
English Abstract
This paper proposes a human-centered artificial intelligence (HCAI) framework for AI-assisted lexicography. While generative AI offers significant opportunities to enhance lexicographic work, it also raises concerns regarding the future role of lexicographers and the preservation of linguistic and cultural diversity. Drawing on HCAI principles and previous applications in other language professions, the paper identifies four interrelated dimensions through which AI integration in lexicography can be understood and critically examined:
1. The augmented lexicographer
2. The sociotechnical context of AI integration
3. Bias
4. The design of AI-powered lexicographic tools
The framework argues that AI should augment rather than replace lexicographers, combining high levels of automation with meaningful human control. It further emphasizes the importance of preserving professional agency, mitigating AI-generated bias, and designing tools around lexicographers' needs. This provides a foundation for future research and for the beneficial integration of AI into lexicographic workflows.
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