Vector Cloud: Use Brand Context for Better AI Translations • 5 min read
In localization, context is king. But what if your most valuable brand context – the nuances, the terminology, the single creative phrases – was locked away? For too long, your AI models couldn't fully use that data.
Previously, we've relied on traditional Translation Memory (TM) fuzzy matches, often overlooking anything below 50% or even 10% similarity. Those “tiny matches” contain critical stylistic and terminological clues, but they rarely get displayed or used in our workflows.
Crowdin's new Vector Cloud app is here to change that, transforming AI translations, by enabling ai to use the most of available context.
In the fourth episode of Crowdin Power Up, host Stefan Huyghe and AI localization expert Dorota Pawlak dived into Vector Cloud. They demonstrated exactly what this is, how to set it up, and how to work with it to transform your AI translation workflows.
