LSPs have always leaned on termbases and style guides for consistency. But hand-curating terminology is slow, expensive, and blind to the jargon clients actually use. Neural Terminology Extraction flips the model — deep learning surfaces the candidates, humans validate.
What's different now.
Transformer-powered surfacing
Multi-word expressions, domain jargon, product names — caught with high precision.
CAT-tool native
NTE slots into existing workflows. Linguists validate, not hunt.
Scales with content
Thousands of documents. Hours, not weeks. No headcount added.
Early adopters report 40% less time building termbases — and higher consistency scores in post-editing.
Where this lands.
By year-end, NTE will be a standard feature in every serious localization platform. The LSPs already using it set the benchmark. The ones that don't will pitch against it — and lose.
Terminology is the first place AI wins unambiguously. Start here.