Case Study: American Meteorological Society expands accessibility with Lilt

A Lilt Case Study

Preview of the American Meteorological Society Case Study

Contextual AI and Human QA ensure top-quality, industry-specific translation for the Glossary of Meteorology

The American Meteorological Society (AMS), a nonprofit scientific organization, wanted to expand access to its Glossary of Meteorology by translating highly specialized meteorological terms and definitions into Spanish. To do this accurately at scale, AMS partnered with LILT and its AI-powered translation platform to handle the technical terminology, style, and nuanced language requirements of the glossary.

With LILT’s Contextual AI and human QA workflow, AMS translated the first phase of the Glossary of Meteorology into Spanish, starting with the 50 most viewed terms. The solution improved accessibility for Spanish-speaking audiences, especially in the U.S., and helped AMS deliver high-quality, fast-turnaround, and affordable translation for more than 12,000 terms and definitions.


View this case study…

American Meteorological Society

Rebecca Perriello

Senior Project Manager


Lilt

34 Case Studies