How AI is changing the future of translation management

Rob Vandenberg
MultiLingual November/December 2018
Core Focus

Translation technology companies are now using AI-based rules engines to change the future of translation management by increasing the automation of workflows, vendor management and quality evaluation....

Translation technology can use AI in a few different ways to overcome the many challenges to translation workflows. Projects that take too long to get started, have too many manual processes and use multiple vendors all add complexity to the situation.

In theory, a workflow prediction engine can predict the appropriate workflow for newly-imported content. AI-enabled workflows can determine which combination of machine and human resources is best to optimize quality and accuracy. These intelligent workflows include phase automation, dynamic scheduling and active monitoring. Specifically, it is possible to do the following:...


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