@inproceedings{a9b763fd9b2e4c3da90dda0568110950,
title = "Tilde at WMT 2020: News Task Systems",
abstract = "This paper describes Tilde's submission to the WMT2020 shared task on news translation for both directions of the English↔Polish language pair in both the constrained and the unconstrained tracks. We follow our submissions form the previous years and build our baseline systems to be morphologically motivated sub-word unit-based Transformer base models that we train using the Marian machine translation toolkit. Additionally, we experiment with different parallel and monolingual data selection schemes, as well as sampled backtranslation. Our final models are ensembles of Transformer base and Transformer big models which feature right-to-left re-ranking.",
author = "Rihards Kri{\v s}lauks and Mārcis Pinnis",
note = "Publisher Copyright: {\textcopyright} 2020 Association for Computational Linguistics",
year = "2020",
language = "English",
isbn = "9781948087810",
series = "5th Conference on Machine Translation, WMT 2020 - Proceedings",
publisher = "Association for Computational Linguistics",
pages = "175--180",
editor = "Loic Barrault and Ondrej Bojar and Fethi Bougares and Rajen Chatterjee and Costa-Jussa, \{Marta R.\} and Christian Federmann and Mark Fishel and Alexander Fraser and Yvette Graham and Paco Guzman and Barry Haddow and Matthias Huck and Yepes, \{Antonio Jimeno\} and Philipp Koehn and Andre Martins and Makoto Morishita and Christof Monz and Masaaki Nagata and Toshiaki Nakazawa and Matteo Negri",
booktitle = "5th Conference on Machine Translation Wmt 2020 Proceedings",
address = "United States",
}