MT Report

Machine translation (MT) performance depends on a number of factors: your chosen engine, language pair, and content type. In the rapidly evolving world of MT it can be hard to find your footing.

To help you make the most of MT, we have analyzed over 21M unique data segments from 2020 to answer some fundamental questions about MT.

In this report you will find out:

How MT performs for different language pairs
How much MT performance has improved over the last quarter (or not)
Spotlight: How different engines handle English-French translation
Spotlight: How different engines perform for Medical content

From the CTO

“Machine translation technology was once thought to be the future of localization. Today, after significant technological advances, it is a reality. MT technology has been embraced by many, and more and more businesses are looking to implement it in order to speed up their workflows, improve their output quality, and reduce translation costs.”

Dalibor Frivaldsky

Chief Technology Officer