The RWTH Aachen Machine Translation System for IWSLT 2016

no code implementations • IWSLT 2016 • Jan-Thorsten Peter, Andreas Guta, Nick Rossenbach, Miguel Graça, Hermann Ney

This work describes the statistical machine translation (SMT) systems of RWTH Aachen University developed for the evaluation campaign of International Workshop on Spoken Language Translation (IWSLT) 2016.

Machine Translation Translation

When and Why is Unsupervised Neural Machine Translation Useless?

no code implementations • EAMT 2020 • Yunsu Kim, Miguel Graça, Hermann Ney

This paper studies the practicality of the current state-of-the-art unsupervised methods in neural machine translation (NMT).

Machine Translation NMT +2

Generalizing Back-Translation in Neural Machine Translation

no code implementations • WS 2019 • Miguel Graça, Yunsu Kim, Julian Schamper, Shahram Khadivi, Hermann Ney

Back-translation - data augmentation by translating target monolingual data - is a crucial component in modern neural machine translation (NMT).

Data Augmentation Machine Translation +3