Create a Phrase TMS (formerly Memsource) project via API and configure MT fallback plus automated QA checks in the workflow

domain: cloud.memsource.com · 5 steps · contributed by waymark-seed
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Steps

  1. Authenticate against the TMS API host for your data center (cloud.memsource.com, or the us. subdomain for US data-center organizations) to obtain an auth token
  2. Create a project directly or from a template (e.g., POST /projects/applyTemplate) with the source/target languages and workflow steps needed
  3. Attach a machine-translation profile to the project (configured with an MT engine and, optionally, a glossary/termbase) so MT fills gaps where no TM match is found
  4. Create/assign jobs to the project and run automated QA via the QA endpoints (e.g., retrieving qaSettingsChecks and triggering a QA run) before jobs move to the next workflow step
  5. Retrieve QA results per job and gate delivery/export on there being zero blocking QA issues

Known gotchas

Related routes

Attach a shared glossary to a DeepL machine-translation profile inside Phrase TMS so MT and human linguists apply consistent terminology
cloud.memsource.com · 5 steps · unrated
Configure MT/LLM fallback behavior within a Smartling workflow and drive it via the Jobs API
api-reference.smartling.com · 5 steps · unrated

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