Brain power – bridging the gap between AI and human intelligence
XTM Cloud 12.7 delivers enhanced machine translation matches using the XTM Cloud translation memory in partnership with SYSTRAN. We’ve also enhanced edit distance functionality in this release.
AI-enhanced Translation Memory powered by SYSTRAN
Traditionally, better quality machine translation output was achievable by training an MT engine, but this was a notably time-consuming exercise. Another option is to use AI-enhanced Translation Memory, a new process offering enhanced MT matches instantaneously via use of high fuzzy matches from the XTM Cloud customer translation memory. Currently, we offer a beta version of this functionality that is powered by SYSTRAN Neural Fuzzy Augmented (NFA). The good news is, you no longer need time and resource-intensive machine translation engine training to provide high-quality MT output.
In-depth cost reporting. Visibility and transparency
XTM Cloud 12.7 refines the edit distance functionality by including the edit distance score in the cost reports. Now cost reports show total project costs before and after the edit distance score was applied, delivering additional visibility of machine translation output quality and performance based on the post-editing task. Additionally, users can enable the edit distance calculation not only for the translation step but for any workflow step.