Review of AI-generated and machine-translated Dutch.
Evaluation, review and improvement of Dutch produced through AI, machine translation and automated language workflows.
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What an AI review covers.
Machine translation post-editing, or MTPE, means a linguist corrects the output of a translation engine until it is fit for its purpose. Reviewing AI-written Dutch is close to it but broader: the text may come from a chatbot, a writing assistant or an automated workflow, and the question is often whether it can be trusted at all. I do both, and I'll tell you honestly which texts are worth editing and which are quicker to redo.
Sometimes AI is clearly the best tool for part of a process. Sometimes an impressive first result becomes less convincing when you look more closely. And sometimes the strongest result comes from combining the technology with somebody who understands the language, context and wider purpose of the work.
Working closely with these tools gives me a good sense of that boundary. I can evaluate what a system produces in Dutch, improve it where it falls short, and help work out what role AI should play in a particular project.
- Review and post-editing of machine translation (MTPE)
- Evaluation of AI-generated Dutch
- Improving output from automated language workflows
- Working out where AI helps in a workflow and where it does not
How it works.
You send the output and the source
And, if you know it, how the Dutch was produced.
I assess a sample
Enough to see what kind of errors it makes and how much editing it needs.
I post-edit or review
Lightly, to make it accurate and readable, or fully, to bring it to the standard of a human translation.
You get the Dutch and a verdict
The corrected text, with what the system did well and where it keeps going wrong.
You work with me directly throughout. How I like to work
Where AI Dutch goes wrong.
Machine-written Dutch is usually grammatical. Its faults are subtler: English word order under Dutch words, expressions translated literally, formal and informal address mixed in one text, and the same term translated three different ways.
None of these stops a reader understanding the text. All of them tell a Dutch reader it was not written for them.
What helps me start
- The Dutch output
- The source text, or the prompt it came from
- What the text is for and how polished it needs to be
- Which engine or tool produced it, if you know
Questions people ask.
Can you check Dutch written by AI or a translation engine?
Yes. I evaluate, review and improve Dutch produced through AI, machine translation and automated language workflows.
Is AI output ever good enough on its own?
Sometimes. AI is clearly the best tool for part of some processes. At other times an impressive first result becomes less convincing when you look more closely. Telling those cases apart is the point of a review.
What is the difference between light and full post-editing?
Light post-editing fixes what is wrong or unclear and leaves the rest, which suits internal or short-lived content. Full post-editing also works on style, tone and consistency until the text reads like a careful human translation, which is what published content needs.
Can you help us decide where to use AI for Dutch?
Yes. I can evaluate what a system produces for your kind of content, show where it is reliable and where it is not, and help you work out which texts can go through it and which should not.
Tell me what you're working on.
A file, a link, a video, a rough explanation or an idea that is still taking shape: send me what you have and tell me what you want to achieve.
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