MT Report

Machine translation (MT) performance depends on a number of factors: your chosen engine, language pair, and content type.

We’ve analyzed over 24M unique data segments to answer some fundamental questions about MT.

In this report you will find out:

How MT performs for different language pair combinations
How much MT performance has improved over the past quarter (or not)
Spotlight: How different engines handle English-Russian translation
Spotlight: How different engines performs for Legal and Finance content
Whether MT performs better with shorter segments

Excerpt

“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