Localization Today Terminology in the Age of AI
Mar 7, 2025
Kara Warburton, a pioneering terminologist and author of The Corporate Terminologist, joins to discuss the evolving role of terminology in the era of AI. She emphasizes the need to shift from traditional terminology for translators to creating microcontent suitable for applications. The conversation dives into how effective terminology management enhances natural language processing and generative AI, tackling the challenges organizations face in maximizing their terminology resources.
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Microcontent Beyond Terminology
- Microcontent includes not only domain-specific terms but also general words, phrases, and symbols digitally structured for applications.
- Terminology resources must evolve into microcontent to better serve AI and NLP technologies.
Challenges of LLM Training Data
- Large language models are trained on vast, unvetted internet content, leading to inaccuracies.
- Cleaning these models is impractical, making their outputs sometimes incorrect or irrelevant.
Produce Clean Content for AI
- To enhance custom AI with corporate data, produce consistent and accurate content.
- Having a well-maintained term base is essential for deploying effective AI solutions.