Corporate knowledge improves translation quality by providing the AI system with the necessary subject-specific, linguistic and contextual information. This includes terminology, style guides, translation memories, product information and technical documentation, for example. The better these knowledge sources are integrated and maintained, the more consistent and accurate the translation results can be.
Without corporate knowledge, an AI has general language knowledge but does not know a company’s individual requirements. Only by integrating internal knowledge sources can it use technical terms correctly, take the desired tone of voice into account and apply company-specific wording consistently.
The key benefits of corporate knowledge
- Higher terminology consistency: Approved technical terms are used consistently across different documents and languages.
- Consistent corporate language: Tone of voice, writing style and brand messages remain consistent across different content and communication channels.
- Better context processing: Product information, technical documentation and reference texts help the AI classify content more accurately from a subject-specific perspective.
- Less post-editing: Company requirements are taken into account during translation, which can reduce the effort required for subsequent quality checks.
- Sustainable knowledge development: Well-maintained knowledge sources improve the foundation for future translations and ensure more consistent results in the long term.
✅ Example from practice
A mechanical engineering company translates technical manuals into eight languages. In addition to the corporate glossary, translation memories, style guides and technical product documentation are integrated into the translation process. This enables the AI to apply technical terms and the desired writing style more consistently. The subsequent quality check becomes more efficient because many company requirements have already been taken into account during translation.
✅ Good to know
Corporate knowledge encompasses much more than glossaries. Style guides, translation memories, product catalogues, technical documentation, training materials and approved reference translations also help to sustainably improve the quality of AI translations. The more systematically and up to date these knowledge sources are maintained, the more reliably the AI can use them during the translation process.