AI terminology management extracts candidate terms from a client’s source files and reference material, proposes translations with evidence from existing translations, and keeps the termbase current, while a terminologist or senior linguist approves every entry.
All Translation & Localisation →
Every LSP knows a good termbase is the cheapest quality control there is, and most termbases are thin, out of date or inconsistent across clients. Building one is slow: reading the client’s documentation, spotting the terms that matter, researching approved translations, writing definitions and usage notes. So it gets done at onboarding, partially, and decays as the client’s products and vocabulary move on.
That research is where AI helps. Term extraction tools have existed for years and produced long, noisy lists. Language models are much better at telling a domain term from a common phrase, and at finding how a term has already been translated in the client’s own memories and published material. The terminologist’s job shifts from finding candidates to judging them, which is the part that needs expertise.
source files, docs, client sites
domain terms, not common phrases
existing translations and usage
approve, edit or reject
synced to the CAT tool
Terminology management is the work of identifying the key terms in a client’s content, deciding how each should be translated in every target language, and recording those decisions with definitions and usage notes in a termbase. Translators and QA checks then apply the termbase so the same concept is always rendered the same way.
It can produce good candidate lists, considerably cleaner than older statistical extractors, and gather evidence on how each term has been translated before. It cannot decide which translation the client wants, or resolve a conflict between two departments’ preferences. Extraction is automated; approval is not.
TBX for exchange, and the native termbases of Trados MultiTerm, memoQ, Phrase and XTM through their APIs or exports. The CAT tool’s termbase stays the record; our system proposes entries into it rather than keeping a separate copy that can drift.
What we built, what stage it is at, and a link to the live thing wherever there is one.
yourOS is an operating system with an AI at its heart. You talk to it like a person, out loud or typed. It makes your calls, plans your days and works on your projects with a crew of agents, on your own private server. Our own product, built from the first commit; the waitlist is open.
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We start with one client’s documentation and their existing translation memory.
30-minute technical call · no deck