Moving to AI Translation: What Breaks, What Works, and Why Humans are Still Essential
- Use Case
- Terminologie, Übersetzung & Sprachtechnologien
- 10. November
- 11:30 AM (MEZ) - 12:15 PM (MEZ)
- C5.2/3
-
Julia Faltenbacher
- SUSE Software Solutions Germany GmbH
-
Aneta Sapeta
- Vistatec Limited
Inhalt
Moving from traditional human translation to an AI-driven workflow promises immense speed, yet the "fully automated" dream often collides with technical reality. In this joint session, SUSE and Vistatec share their experience integrating Phrase AI with GitHub to localize user documentation.
We dive into why terminology is king, especially when "Rancher," "Longhorn," or "Cattle" aren't just nouns, but real product names, and why the "hands-off" approach fails without constant human-in-the-loop intervention. Beyond automating file pushes and pulls, we address the complexity of a hybrid ecosystem: maintaining seamless synchronization between professional AI pipelines in Phrase and community-driven translations in Weblate.
Join us to learn how to move beyond AI hype toward a sustainable localization strategy in which human expertise, community passion, and machine efficiency coexist without sacrificing quality.
Das lernen Sie
Attendees will leave with concrete lessons on terminology governance, Git-based localization workflows, hybrid platform synchronization, and the operational realities of deploying AI translation in production environments.
Vorkenntnisse
The audience should have a foundational understanding of localization workflows and the role of Translation Management Systems. Familiarity with the general concept of Machine Translation or AI in translation is helpful. While the talk covers GitHub and Weblate integration, deep coding knowledge is not required; a basic understanding of how software documentation and UI strings are managed in repositories is sufficient.