Issue #122 – Can annotations help to get terminology right in MT?

18 Mar21

Issue #122 – Can annotations help to get terminology right in MT?

Author: Dr. Carla Parra Escartín, Global Program Manager @ Iconic

Introduction

Getting terminology translated properly is a well known challenge for Machine Translation (MT) and an important element when measuring translation quality (both human and machine). In fact, forcing terminology, or getting terminology right is a frequent request from our customers. But getting it right is not a trivial task, and as researchers quest the best approach to do so, we follow their advances in this blog series. As we saw in issue #100, around 13% of our blog posts have been devoted to it.

Today we look at a recent paper by Bergmanis and Pinnis (2021), in which they explore

 

 

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