Case Study: National Weather Service achieves faster, more accurate weather alerts with Lilt

LILT's Contextual AI Engine drives improved NWS translation performance for life-saving weather alerts

The National Weather Service (NWS) needed a faster, more accurate way to translate emergency weather alerts into multiple languages, including languages it had not previously supported. It partnered with Lilt and used Lilt’s adaptive AI-powered translation software and CAT tool to improve translation efficiency without sacrificing the accuracy required for life-saving communications.

Lilt implemented a contextual neural translation engine that learns in real time from NWS forecaster and linguist feedback, helping translators approve or edit suggestions and continuously improve future output. As a result, NWS can produce highly accurate translations in minutes rather than days, speeding publication of critical weather reports while lowering the risk of mistranslations.

National Weather Service

Monica Bozeman

Automated Language Translation Lead