taus-logo-normal
menu-icon
EPIC

OVERVIEW

What is EPIC?

The platform in a nutshell

Choosing a QE Model

Match model to content & risk

EPIC FEATURES

Quality Estimation

Score translations automatically

Automated Post-Editing

Clean up MT output at scale

Retrieval-Augmented Generation

Feed context with glossaries

Specialized Models

Language specific models

USE EPIC

Integrations

Connect with your TMS & Tools

API Docs

Technical docs & API references

EPIC APP

Interactive playground & sandbox
Resources

Blogs

Perspectives from our team

Reports

In-depth industry research

Webinars

Live and on-demand sessions

Case Studies

Real results from real teams
icon epic arrow
icon epic arrow
A Real-World Guide to QE Scoring
Best Practices and Examples, December 2024

With an overwhelming amount of content that’s waiting to be translated in the many languages around the world, efficiency and accuracy are essential. Quality Estimation is the latest innovation in the global language industry that can help businesses save up to 70% in time and costs. This practical guide shares concrete insights on how to use quality estimation scores, what influences QE scores, how to read the scores, and overall: how to reduce human effort and maintain quality at scale.

icon epic arrow

Contents of the Report

Understanding QE Scores

What Content Works Best for QE

QE Scoring in Action

Getting Started with QE

icon epic arrow
Authors
David Koot
ML Engineer | TAUS
icons-social-media-linked-in-circle
Anne-Maj van der Meer
Head of Sales & Marketing | TAUS
icons-social-media-linked-in-circle
Martina Brkic
Marketing Coordinator | TAUS
icons-social-media-linked-in-circle