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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
William Waites
William Waites

William Waites has been focusing on communications infrastructure and enabling technologies since the mid-1990s. He is a research engineer at the University of Edinburgh School of Informatics working to mine translated text from within petabytes of web data. He has recently successfully defended his PhD thesis treating applications of graph structures in anatomy and molecular biology at the Laboratory for Foundations of Computer Science. He worked on practical architectures to address Internet access in remote parts of the Scottish Highlands winning the European Broadband Award for future-proof infrastructure. Previously, in addition to holding staff engineer positions on academic research network and private sector telecommunications operators in Canada, he pioneered audio streaming of cultural events and operated server infrastructure for the arts communities in Montreal, Toronto, and Berlin.

Mt-energy-use-blog
20/12/2019
How much attention should the MT community using machine learning tech pay to their energy consumption? Is there a danger that in the long run, our language processing agenda will have a negative impact on our ecology? To answer this, we need to look at the facts.