AI Localisation with Glossary Enforcement
Translating and adapting content at scale while locking the brand's untranslatable terms and the market's actual search vocabulary, with native review at the end.
Analogy Mental model
Handing the interpreter a note before they start: do not translate the brand name literally, and translate this product category as the word people there actually search for rather than the academic equivalent.
In practice What you actually do
Two lists must be enforced in the system instruction: terms that must never be translated, covering brand and model names and code paths, and a mapping that fixes each core keyword to the specific local term you researched for that market. Then have a native speaker read the result.
Where people get burned Pitfalls
Left unconstrained, the model varies its choice between synonyms across a single article, or settles on formal vocabulary nobody searches. Either outcome halves the return on the localisation.
This entry was written in English from the Chinese original, not machine-translated. Read the Chinese version →