We participated in the WMT 2016 shared news translation task by building neural translation
systems for four language pairs, each trained in both directions: English<-> Czech, English< …

Neural machine translation has recently achieved impressive results, while using little in the
way of external linguistic information. In this paper we show that the strong learning …

While recent changes in Machine Translation state-of-the-art brought translation quality a
step further, it is regularly acknowledged that the standard automatic metrics do not provide …

Attention distributions of the generated translations are a useful bi-product of attention-
based recurrent neural network translation models and can be treated as soft alignments …

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 …

Techniques are disclosed for training and/or utilizing an automatic post-editing model in
correcting translation error (s) introduced by a neural machine translation model. The …

This paper describes the hierarchical phrase-based machine translation system built jointly
by the University of Edinburgh and the University of Munich (LMU) for the shared translation …

This paper describes the joint submission of the QT21 projects for the English→ Latvian
translation task of the EMNLP 2017 Second Conference on Machine Translation (WMT …

After more than a decade of phrase-based systems dominating the scene of machine
translation, neural machine translation has emerged as the new machine translation …

We evaluate two common conjectures in error analysis of NLP models:(i) Morphology is
predictive of errors; and (ii) the importance of morphology increases with the morphological …