Lilt is a platform that equips businesses to optimize among speed, quality, and cost for large-scale localization projects.
The core technology is an interactive, adaptive machine translation system that learns in real-time from human feedback and/or existing translation memory data. Adaptation allows the system to progressively provide better suggestions to human translators, and higher quality for fully automatic translation.
Lilt is based on machine translation and translator productivity research at Stanford University and Google. Co-founders John DeNero and Spence Green met while working on Google Translate in 2011, and started Lilt in early 2015 to bring the technology to modern businesses and translators.