Automated Evaluation of Machine Translation – An Overview

Evaluating machine translation output is no easy feat. In order to quantify the quality of machine translation, the first thought that comes to mind is a human evaluation: allowing linguists or translators to offer their professional opinion on what constitutes a good or a bad translation. However, a human evaluation requires a lot of time […]

Human Evaluation of Machine Translation Quality – A Quick Guide

A couple of years ago, neural machine translation stepped into the limelight. Using deep learning, the quality of machine translation has increased substantially and will keep increasing in the future. Yet, how do we measure actual ‘improvement’ in the quality of machine translation outputs? How can we ensure that the output from a machine translation […]