EXPERT COURSE

Terminology Management
and Generative AI

Terminology in a Data-Driven World

Terminology management is a proven driver of quality, consistency, and efficiency in multilingual content.

Studies and industry reports consistently show that structured terminology reduces ambiguity, improves translation quality, and increases customer trust, particularly in technical, legal, and regulated domains.

From a business perspective, consistent terminology directly impacts brand perception and operational efficiency. Organizations with mature terminology practices report faster content production cycles and fewer revision loops due to misunderstandings caused by inconsistent language.

AI, Productivity, and Reliability

AI models do not understand meaning, they predict language. As a result, Large Language Models are prone to hallucinations, producing fluent but incorrect output. Independent benchmarks show hallucination rates that can exceed 15–20% depending on task complexity and domain specificity.

Without authoritative linguistic data, AI systems cannot reliably maintain terminology consistency, factual accuracy, or brand voice at scale.

Terminology as the Foundation for Trustworthy AI

Terminology assets, when properly structured and validated, act as grounding mechanisms for AI systems.

Glossaries, termbases, and concept models can be integrated into AI workflows through approaches such as Retrieval-Augmented Generation (RAG), significantly reducing hallucinations and improving domain accuracy.

This is why terminology is increasingly viewed not as a linguistic afterthought, but as core infrastructure for AI-driven localization and content generation.

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  • This course includes:
  •  Expert coach: Celeste Martins, Terminologist and UX Specialist at Booking.COM
  •  Real useful activities
  •  Life access to contents
  • Downloadable course program
  •  Completion certificate
  •  Money back guarantee
  •  When: 23 March - 16.00 CET
  •  Duration: 2 h
  •  Live sessions get recorded so you do not miss anything
Session 1 - Terminology for AI and AI for Terminology
SESSION 1

Terminology for AI &
AI for Terminology

Session 1

1. Foundations
1.1 Why terminology still matters
1.2 Quick AI refresher + prompt basics
1.3 Live poll & quiz

2. Terminology as AI Infrastructure
2.1 From glossaries to knowledge graphs
2.2 RAG & TAG explained
2.3 Practical examples for AI grounding

3. AI Supporting Terminology Work
3.1 AI tasks: term extraction, definition drafting, clustering
3.2 Human-in-the-Loop essentials
3.3 Future roles of terminologists

4. Q&A

Course description

This course shows how terminology evolves from a traditional linguistic discipline into a strategic AI enabler. Participants will learn how terminology supports AI, how AI accelerates terminology work, and why human expertise remains essential to ensure quality, accountability, and trust in AI-powered localization workflows.

By the end of this course, participants will be able to:
  • Understand why terminology remains business-critical in AI-powered localization environments
  • Explain the relationship between terms, concepts, and knowledge structures
  • Identify the limitations of AI regarding accuracy, consistency, and hallucinations
  • Understand how terminology assets can be used to ground Large Language Models (LLMs)
  • Apply AI responsibly to support and scale terminology work, while preserving quality through Human-in-the-Loop processes

Who is this course for?
This course is ideal for:
  • Localization professionals and project managers
  • Terminologists and linguists
  • Language technologists and AI practitioners
  • Anyone working with AI-driven content generation who needs accuracy, consistency, and control

Celeste Martins

| UX Writer & Terminologist at Booking.com
About CELESTE
Celeste is a linguist with over 15 years of experience in translation, localization, terminology management, and content optimization.
She has spent the last nine years on Booking.com where she works as UX Writer and Terminologist, where she developed a comprehensive terminology program, led multiple localization projects, and collaborated with UX and product teams to ensure linguistic quality and user-centered content.
Celeste is passionate about continuous learning and cultural exchange, bringing both technical skill and human-centered communication to every project.
She loves talking about terminology management, particularly its growing importance with the expansion of automated translations, the implementation of AI solutions for terminology and the strategic value it adds to content creation and localization.
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