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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
Amir Kamran
Amir Kamran

Amir Kamran joined TAUS as Senior Data Engineer in September 2017, and now works as a Solution Architect. His primary duties include collaborating with engineering and machine learning teams to develop new solutions, NLP tools, and trends that improve TAUS' offerings. He also supports the sales team by designing and implementing proof of concepts for TAUS products and services. Amir holds a master’s degree in Language and Communication Technologies, graduating as an Erasmus Mundus scholar from Charles University in Prague and the University of Malta. He previously worked as a Research Developer on machine translation projects at the University of Amsterdam and Charles University in Prague.

Quality Estimation: A Smart Filter for Cost-Effective Translation Workflows
17/09/2024
Unlock cost-effective translation workflows using Quality Estimation and Large Language Models for faster, high-quality results and discover how to optimize your translation process.
Three Facts about Machine Translation Quality Estimation
27/11/2023
Unlock the secrets of Machine Translation Quality Estimation (MTQE) with three key facts that demystify its distinctiveness, data-driven automation, and broader applications beyond cost reduction.