AI can translate a text, but can it tell whether the translation is accurate? The challenge of evaluating quality

A translation can sound natural, be well written and appear completely correct. Yet it may still contain errors that go unnoticed at first glance.

Artificial intelligence has made considerable progress in machine translation, but producing fluent text does not necessarily mean conveying the original message accurately. Fluency is not always a sign of accuracy.

Sounding good does not mean being well translated

Machine translation systems can produce texts that appear to have been written by a native speaker. Even so, they may lose nuances, misinterpret expressions, use incorrect terminology or unintentionally change the meaning of the original.

In certain contexts, these errors can be particularly difficult to detect. A translation may be grammatically flawless while containing a significant inaccuracy in a contract, medical document or business communication.

That is why evaluating a translation requires more than checking whether the text sounds natural.

How do we measure translation quality?

Automated tools can compare translations with reference texts or analyse specific aspects of the output. AI systems can also review texts and flag potential issues.

These technologies can help identify errors, compare versions and streamline quality control processes. However, their assessments are not infallible: they depend on context, the criteria applied and the limitations of the system itself.

Different texts also require different evaluation criteria. Terminological accuracy may be the priority in a technical document, while an advertising campaign also depends on tone, creativity and the ability to connect with its audience.

Human judgement remains essential

Translation professionals bring much more than grammatical accuracy to the process: linguistic knowledge, contextual understanding, specialist expertise and the ability to assess whether a message achieves its intended purpose.

AI can support the review and evaluation of translations, but its output requires human supervision, review and judgement. A text should not be considered definitive simply because a machine declares it correct.

Quality means conveying the message

Evaluating a translation is not just about checking whether the words fit together. It means verifying that the original meaning, intention and nuances have been preserved.

At Aadimatiq, we combine technology, linguistic expertise and professional review to deliver high-quality translations tailored to the needs of each project.

Because a good translation is not just one that sounds right, but one that conveys exactly what it needs to convey.