The quality of content significantly influences the support experience of Uber’s customers. For instance consider an Eater who requests help canceling a severely delayed order. The same resolution, such as a refund, can be accompanied by either a robotic-sounding machine-translated message, or a message with a style and tone that expresses genuine empathy and acknowledges the user’s disappointing experience on our platform.
Quality Estimation
Speech Data
Machine Translation
NLP Services
Quality estimation
Boosting TM Quality: Achieving Excellence with TAUS OPTMIZE
How a global industrial technology leader transformed their multilingual content strategy with TAUS OPTMIZE. With AI-driven technology, TAUS helped them improve translation quality, enhance MT customization, and streamline their global content operations - all in just two weeks.
Quality estimation
How BLEND Leveraged up to 80% of Cost Savings with TAUS EPIC API
Quality Estimation helped BLEND confidently identify high-quality segments and remove them from the scope, dramatically reducing the cost for their clients.
Quality estimation
Milengo turned quality estimation into an efficiency powerhouse-driving down post-editing and unlocking new value in their translation services.
Quality estimation
Uber uses EPIC API to measure and improve the quality of its global customer care platform
Uber, a global mobility service corporation, partnered with TAUS to utilize the EPIC API as a strategic tool to enhance their customer experience.
Quality estimation
Unlocking Efficiency: Leveraging EPIC API to Optimize MT Workflows
MotionPoint, a global technology solutions company, partnered with TAUS to determine whether Machine Translation Quality Estimation (MTQE) models could be used to remove the human post-editing (PE) from certain machine translation (MT) workflows.
Quality Estimation
EPIC API enables saving up to 76% in lead time and costs
Yamagata Europe, a leading language service provider, partnered with TAUS to streamline their translation process for a major automotive client. By implementing a customized Machine Translation Quality Estimation (MTQE) model, they achieved remarkable results, reducing post-editing (PE) efforts by up to 76% and gaining valuable insights into translation quality, saving time and costs.
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