This paper presents the results of the WMT17 shared tasks, which included three machine
translation (MT) tasks (news, biomedical, and multimodal), two evaluation tasks (metrics and …

Neural machine translation (NMT) heavily relies on context vectors generated by an
attention network to predict target words. In practice, we observe that the context vectors for …

Although future context is widely regarded useful for word prediction in machine translation,
it is quite difficult in practice to incorporate it into neural machine translation. In this paper …

The paper describes the development process of the Tilde's NMT systems that were
submitted for the WMT 2018 shared task on news translation. We describe the data filtering …

Although attention-based Neural Machine Translation (NMT) has achieved remarkable
progress in recent years, it still suffers from issues of repeating and dropping translations. To …

This thesis aims to research methods and develop tools that allow to successfully combine
output from various machine translation (MT) systems so that the overall translation quality of …