Resources
EPIC Guide
Your go-to resource for all things EPIC, QE and APE covering the most frequently asked questions to help you streamline your translation workflows.
Introduction to EPIC
What is EPIC and what problems does it solve?
How does EPIC differ from other automated translation quality approaches?
Understanding Quality Estimation (QE)
What is Quality Estimation?
How does QE work?
What are the main use cases for QE?
How does QE help in cost savings and efficiency?
What are common misconceptions about QE?
Understanding Automatic Post-Editing (APE)
What is Automatic Post-Editing?
How does APE work?
How do you ensure APE output quality?
How do you ensure that the APE suggestion is of better quality than the original translation?
Can the post-edited content contain LLM hallucinations?
Do I need to verify the APE output?
Can I use APE "out-of-the-box" or does it require a set-up time?
Quality Estimation Metrics Explained
What are the different QE scores, and what do they mean?
How should you interpret QE scores?
What factors influence QE scores?
How do QE scores compare to traditional quality assessment methods?
Integration & API Usage
How can I integrate EPIC into my workflow?
What API endpoints are available?
How do I test the EPIC API?
Privacy & Security
What data is used for QE & APE?
How does EPIC ensure data privacy for QE and APE?
What security measures are in place?
Pricing & Subscription Models
How is EPIC priced?
What plans do you have available for QE?
Are there custom enterprise solutions?
Success Stories
See how global enterprises and language service providers are transforming their translation workflows with TAUS. Our success stories highlight real-world results: faster turnaround times, reduced costs, and improved translation quality.
BLEND achieved savings of almost $7,000 a week
Success Stories
See how global enterprises and language service providers are transforming their translation workflows with TAUS. Our success stories highlight real-world results: faster turnaround times, reduced costs, and improved translation quality.
BLEND achieved savings of almost $7,000 a week