Nordic NuanceEnglish and German into Danish
AI & linguistic quality in Danish
A fluent sentence can still change the meaning. Reviewing AI or machine translation calls for comparison with the source, an understanding of the domain and a clear view of what the reader needs.
I review Danish language quality for agencies and localisation teams, across human translation, machine translation and AI-generated output.
Choose the scope of the review
- Bilingual revision: compare meaning, omissions, conditions and terminology with the source.
- Post-editing: bring machine-translated Danish to the agreed quality level and brief.
- Linguistic QA: check terminology, consistency, numbers, placeholders and in-context presentation where product access is available.
- Quality evaluation: document linguistic issues and their impact using the client’s assessment criteria.
Useful feedback, not more alternatives
I distinguish necessary corrections from preferences. Where the source is ambiguous or the context is insufficient, I raise a question rather than present a guess as the answer.
Feedback can include corrected wording, an explanation of the issue, severity under the agreed criteria and recurring patterns worth addressing. The format follows your workflow and the purpose of the assessment.
Beyond individual sentences
For conversational products, clarity also depends on how a response fits the exchange: whether it answers the question, preserves context and sets appropriate expectations. Human–AI communication review offers a defined scope for this work.
A focused Danish localisation check
If you need to understand the quality of an existing Danish text or interface before deciding on wider revision, we can scope a review of a defined sample.
The output identifies the issues found, corrections within scope, unresolved source questions and priorities for further work. A sample review describes that sample; it does not establish an error rate for the whole product.
Send the source and Danish, audience, terminology, style requirements and any evaluation rubric. Screens or product access help when the issue depends on where the text appears.