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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
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MT Post-editing Guidelines
An agreed set of PE best practices

Machine translation (MT) with post-editing (PE) is fast becoming standard practice in our industry. This means that organizations need to be able to easily identify, qualify, train, and evaluate post-editors’ performances.

An agreed set of best practices will help the industry fairly and efficiently select the most suitable talent for post-editing work and identify the training opportunities that will help translators and new players, such as crowdsourcing resources, become highly skilled and qualified post-editors.

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Which MT post-editing guidelines are included?

Evaluating Post-editor performance

Machine Translation Post-editing

Pricing Machine Translation Post-editing