AI Translation Capabilities

AI translation capabilities is a fascinating subject!

Technologies: The newest technologies use very large models and neural machine translation, which focus on interpreting context rather than simply putting words or sentences together. This leads to the conclusion that the best approach is always to submit longer content to be translated, even if you only need one or two sentences.

Tasks involved: Although using AI translation for interfaces has some serious drawbacks, the general processes of AI localization, multilingual SEO and brand voice continuity are very promising. However, general AI translation has numerous flaws and should usually be avoided.

Implementation: automated glossaries and AI prompted translation memories (TMs) improve quality and consistency. They help human professional linguists to work faster and more efficiently. However, they must be designed correctly and managed on an ongoing basis. As with all the areas affected by AI, it is a revolution as some jobs disappear while others are created.