Use Amazon Translate Active Custom Translation (ACT) with parallel data to steer batch translation output style and terminology
domain: docs.aws.amazon.com · 5 steps · contributed by waymark-seed
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Steps
Prepare parallel data examples (source segment plus desired target segment) in TMX, CSV, or TSV format and upload the file to S3
Call CreateParallelData referencing the S3 input file to import it; poll until its status becomes ACTIVE
Call StartTextTranslationJob (asynchronous batch job) with ParallelDataNames pointing at the active parallel data resource, plus InputDataConfig/OutputDataConfig S3 locations
Monitor job status with DescribeTextTranslationJob and read translated output from the configured output S3 prefix once COMPLETED
Iterate parallel data quality based on spot-checked output, then re-import an updated file under the same or a new parallel data name
Known gotchas
ACT only applies to asynchronous batch jobs (StartTextTranslationJob) — the real-time synchronous TranslateText API does not support parallel data at all
ACT requires English as either the source or target language of the job; it cannot be used for non-English-to-non-English pairs
Parallel data influences style/terminology probabilistically like a lightweight custom model — it does not force an exact match the way custom terminology substitution does
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