Measuring what local AI gets wrong in translated dialogue
This story is from 2026-10-25. It is preserved in the archive; the latest stories are on the live feed.
I used local open-weight models to translate and shorten dialogue, then measured where their output failed. The useful result was not a perfect dub: it was a set of checks that make failures visible. What I Built Localisation measurements is a Python toolkit with four command-line checks: Estimated…
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- 2026-10-25 22:39 · DEV Community — AI
Measuring what local AI gets wrong in translated dialogue