论文概要
研究领域: NLP 作者: Antonio San Martin, Catherine Trekker 发布时间: 2026-07-13 arXiv: 2607.11808
中文摘要
本文提出一种面向AI辅助词典编纂的人本AI（HCAI）框架。虽然生成式AI为增强词典工作提供了重大机会，但也引发了关于词典编纂者未来角色和语言文化多样性保护的担忧。借鉴HCAI原则和其他语言职业中的应用，本文识别了四个相互关联的维度，通过它们可以理解和批判性地审视词典编纂中AI的整合：增强型词典编纂者、AI整合的社会技术情境、偏见以及AI驱动词典工具的设计。该框架认为AI应增强而非取代词典编纂者，将高水平自动化与有意义的人类控制相结合。进一步强调保护专业能动性、缓解AI生成偏见、围绕词典编纂者需求设计工具的重要性。这为未来研究和AI有益地整合到词典编纂工作流中提供了基础。
原文摘要
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: 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 meaning…
— 自动采集于 2026-07-15
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