Achieve 74–86% error detection accuracy to automate your quality gates and reach a 35–52% reduction in resource costs.
Head of Growth at TAUS
Senior Localization Consultant at Custom.MT
60 minutes
Set up your full automation workflow by connecting TAUS as your primary QE provider. Within the Сonsole, you define your quality threshold
(e.g., 80%): segments scoring above this limit are automatically “Confirmed” or “Locked” to prevent unnecessary editing. This infrastructure allows you to manage high-volume projects without increasing your headcount.
The TAUS engine analyzes every segment to predict the required workload before a linguist even opens the file. In Trados, these segments appear as either “Locked” or “Confirmed” based on your pre-set scores. This automated filtering identifies “safe” content, allowing you to reduce manual LQA costs.
Use the free Custom.MT plugin to view live TAUS QE scores directly inside your Trados environment. This integration provides immediate visual proof of which segments meet your quality standards and which require human attention.
You implement a standardized workflow that uses benchmarking data to define quality thresholds for your team.
Learn to implement Quality Estimation (QE) within your existing Trados environment. Understand how to automate your localization tasks using the Custom.MT and TAUS ecosystem.
Achieve 35–52% in resource savings on post-editing and LQA. Use benchmarking data to set thresholds that allocate your budget strictly to high-priority content.
Deploy automated quality filters with 74–86% error detection accuracy. Process high volumes effectively by filtering out "safe" segments with a 80% target quality threshold.
Get Participant-only access to the QE testing environment within both Custom.MT and TAUS. Validate the 10% quality boost for European languages using your own data and workflows.
What is Quality Estimation and why is it required for localization? We discuss its current development and whether the technology is ready for full trust in production.
A concise review of the Custom.MT study. Learn how optimized thresholds catch up to 86% of errors and identify which segments can safely skip human review
Step-by-step integration of the Custom.MT and TAUS infrastructure. See how easy it is to integrate QE directly into your Trados environment and start seeing results in real-time.
Get direct advice from the teams at Custom.MT and TAUS. Discuss how we already help companies successfully integrate QE into their daily localization workflows.
Anne-Maj van der Meer
Head of Growth, TAUS
Anne-Maj focuses on the linguistic data infrastructure behind automation. She will explain how the TAUS EPIC engine utilizes large-scale datasets to generate quality signals, enabling AI output to be used as a verified production metric.
Elena Murgolo
Senior Localization Consultant, Custom.MT
Elena specializes in the functional implementation of Language AI. She will demonstrate the exact parameters for configuring quality thresholds and how to operationalize QE within Trados to transition from manual LQA to automated quality management.
Focusing on cost reduction and optimizing resource allocation.
Exploring Trados QE integration and seeking implementation methods.
Aiming for zero-step localization and full-scale workflow automation.
Participant-only Trial Access
All registered participants will receive a limited-usage trial to test Quality Estimation (QE) infrastructure. Explore the integrated workflow within both the Custom.MT Console and TAUS EPIC environment to validate automation results on your own data.
