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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
András Aponyi
András Aponyi

NLP Research Analyst at TAUS with a background in linguistics and natural language processing. My mission is to follow the latest trends in NLP and use them to enrich the TAUS data toolkit.

NLP-driven Word Clouds in Data Marketplace
03/01/2022
What can word clouds driven by NLP tell you about your training datasets? Here is how we create word clouds on TAUS Data Marketplace.
Domain Classification with Natural Language Processing
19/08/2021
A tutorial on automatic domain classification with NLP: from data preprocessing to the training and evaluation of an artificial neural network.
What are Sentence Embeddings and Their Applications?
10/02/2021
Key ideas behind the sentence embedding technique, its possible applications, and an overview of some of the state-of-the-art sentence embedding approaches commonly used in NLP-research and the language industry.
Quality Estimation for Machine Translation
07/09/2020
Quality estimation for machine translation is an active field of research in the NLP community. As a method that does not require access to reference translations, it may very well become a standard evaluation tool for translation and language data providers in the future.