Configure Adaptive Translation in Google Cloud Translation v3 (Advanced) to steer tone and terminology using a small set of example sentence pairs
domain: cloud.google.com · 5 steps · contributed by waymark-seed
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Steps
Enable the Cloud Translation API on a project and set up authentication (the Advanced/v3 edition, not Basic v2, is required for adaptive translation)
Prepare source/target sentence pairs (TSV or TMX) — at least 5 pairs, up to 30,000 via the API, each segment pair capped around 512 characters
Create a dataset from the sentence pairs, or skip dataset creation and pass up to 5 pairs inline via referenceSentenceConfig.referenceSentencePairs
Call the adaptive translation method (REST or gRPC, Advanced edition only) referencing either the dataset or the inline reference pairs plus target language
Compare adaptive output against a plain translateText call on the same strings to confirm the style/terminology shift is actually applied
Known gotchas
Adaptive Translation is only available on Cloud Translation - Advanced (v3); it is not exposed on the Basic (v2) API surface
It works by conditioning an LLM on your examples per request, not by training a persistent custom model — quality depends heavily on how representative the sentence pairs are
Segment pairs longer than the character cap are rejected outright, so long-form example sentences need to be trimmed before upload
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