Publication at Faculty of Mathematics and Physics |
2019
Abstract
As the quality of machine translation rises and neural machine translation (NMT) is moving from sentence to document level translations, it is becoming increasingly difficult to evaluate the output of translation systems. We provide a test suite for WMT19 aimed at assessing discourse phenomena of MT systems participating in the News Translation Task.
We have manually checked the outputs and identified types of translation errors that are relevant to document-level translation.
