Fine-tuning prompts, enriching RAG, expanding terminology or testing different MT and LLM systems – there are countless ways to improve AI translation. But how can you tell which changes actually make a difference?
translate5 helps you move beyond assumptions by providing objective performance data throughout the translation process – with full data sovereignty and optional on-premises deployment. By combining Translation Quality Estimation (TQE), Levenshtein distance and post-editing time, the system shows where translation quality improves, which content requires little or no human intervention, and where further optimisation will have the greatest impact.
Whether you want to compare language resources, reduce post-editing effort or continuously refine your AI workflows, data-driven analysis provides the insights needed to make informed decisions and maximise the value of your MT and LLM investments.
