Manually creating a glossary is time-consuming and prone to errors. Modern AI systems can now automatically extract relevant technical terms from existing company data, significantly accelerating the development of a corporate glossary.
Typical data sources for terminology extraction include:
- Company websites and landing pages
- Technical documentation and operating instructions
- Existing Translation Memories (translation repositories)
- Product catalogues as well as ERP and PIM data
- Existing Excel lists or incomplete glossaries
How AI supports this process:
The AI analyses large volumes of text, recognises recurring technical terms and company-specific formulations, identifies their meaning in the relevant context, and suggests suitable translations for additional target languages. The suggestions can then be reviewed by subject-matter experts and added to a central corporate glossary.
In short:
AI automates the time-consuming search for relevant technical terms and helps companies build high-quality glossaries significantly faster and more efficiently.
Further reading
How does AI-powered terminology extraction work?
Find out how AI automatically recognises technical terms and uses them to create professional corporate glossaries.