Increase Productivity with Predictive Typing
Translators work at superhuman speeds because of predictive translation suggestions right in the CAT Tool. Each suggestion is powered by our adaptive neural machine translation engine and is custom-tailored to your company's content, translation history, and linguistic assets. Best of all, the predictions get smarter and more accurate over time, increasing translator productivity.
Save Time with Translation Memory & Auto-Propagation
Our powerful Translation Memory feature saves time by automatically adding in previously translated segments right in the CAT Tool. Once a match is confirmed, our Auto-Propagation feature searches the rest of the document for that same segment and automatically adds the confirmed translation. As your Translation Memory grows, it automates more of translations workflow - saving time and money.
Ensure Consistency with Termbase and Lexicon
Our Termbase feature ensures translators are using the right terminology in the right context to talk about your business. Our Lexicon feature shows translators a range of possible translations of a certain word, enabling them to complete their work without leaving the CAT Tool.
Reimagine translation with AI and automation at the core
- The Lilt CAT Tool is packed with automation - making translators more efficient, reducing project turnaround times, and augmenting human ingenuity with machine efficiency to bring the joy back to translation.
- Our translation suggestions are powered by our Adaptive Neural Machine Translation engine, which learns and gets smarter with each word that gets translated on our platform.
- Clean, modern interface that's simple to learn, incredibly powerful when mastered, and based in the cloud - so it's easy to access from anywhere and new features are added all the time.
- In the enterprise, translation is a team sport. That's why we've built collaboration features right into the platform - so translators can pose questions about certain translations and ask for clarification around context.