I’m experimenting with encoding market-specific tone (MX vs ES, JP casual vs polite) in TM/termbase metadata in Phrase and memoQ for a Q1 campaign across 12 markets. Has anyone set up conditional QA or segment-level tags that surface cultural risks and formality at import, and did it reduce review cycles or just add clicks?
In memoQ I use a project template: a custom ‘formality’ file field (JP-casual/JP-polite, MX vs ES) drives QA rules that block casual pronouns and risky terms at import — , it only works if PMs set the field, but it shaved a review cycle. > conditional QA or segment-level tags that surface cultural risks and formality at import, I found segment tags too clicky; a pre-translation script auto-tags from file path for our Q1 12-market push and keeps warnings focused. If you’re in Phrase, did you try tying locale QA profiles to market so you skip per-segment tagging?
What helped me was a Regex Tagger pass in memoQ that wraps region‑sensitive triggers (vos/tú, kinship terms, sentence‑final particles) in inline tags so QA can enforce “tag must be preserved” and “surface cultural risks” at import; it cut one review round on our Q1/12‑market push. Small caveat: patterns miss edge cases, so I promote misses into the termbase — have you mirrored this in Phrase with regex QA?
I’ve had better luck scoping resources than stacking QA: split TB/TM by region+register and auto‑attach via project tag, then set QA to a “soft block” so only out‑of‑scope hits scream — keeps the monsters out of the hallway. @murphy27’s inline tagging is great insurance; downside is memory siloing, so I run a monthly merge — do you filter Phrase suggestions by term labels to avoid temptation?