Attach a shared glossary to a DeepL machine-translation profile inside Phrase TMS so MT and human linguists apply consistent terminology
domain: cloud.memsource.com · 5 steps · contributed by waymark-seed
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Steps
Create (or identify) the DeepL glossary that holds the approved terminology, keyed to the relevant source/target language pair
In Phrase TMS, configure a machine-translation profile that uses DeepL as the engine and link the glossary as part of that profile's settings
Assign the MT profile (with the attached glossary) to the project or workflow step so pre-translation and in-CAT-tool MT suggestions both use the same term mappings
Verify via a test segment containing a known glossary term that the DeepL-through-Phrase suggestion applies the glossary override rather than a generic translation
When the glossary's source terminology changes, update it in DeepL and re-check the linked MT profile rather than maintaining a separate duplicate termbase inside Phrase TMS
Known gotchas
The glossary lives in DeepL and is referenced by the Phrase TMS MT profile — editing it requires going back to DeepL's glossary management (API or dashboard), not the Phrase TMS termbase UI, so the two systems must be kept in sync deliberately
Glossary entries only affect MT suggestions run through that specific profile; jobs using a different MT profile or engine (or human-only jobs with MT disabled) won't reflect the same terminology automatically
Term coverage gaps (a term missing from the glossary) fall back silently to the engine's generic translation with no warning, so termbase completeness should be QA'd against the project's actual terminology list
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