In this session, Konstantin Savenkov, CEO of Intento, Inc. describes their approach to analyzing post-editing efforts across the enterprise localization activities. It operates several objectively identifiable reviewer activities (review, correction, re-translation, post-editing) and enables comparing amounts of those activities across different types of translation automation (TM matches, dynamic repetitions, MT). 

Intento sees it invaluable in helping enterprise and LSP come to an agreement on the MTPE pricing. Also, it brings lots of value beyond the MTPE, indicating the health of the overall enterprise localization setup (TMS configuration, TM quality, resource matching).

Attendees of this session will learn both about Intento’s approach to evaluating the localization stack of the enterprise, as well as what typical issues one may discover after such assessments.