@inproceedings{stojanovski-etal-2019-lmu,
title = "The {LMU} {M}unich Unsupervised Machine Translation System for {WMT}19",
author = "Stojanovski, Dario and
Hangya, Viktor and
Huck, Matthias and
Fraser, Alexander",
booktitle = "Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1)",
month = aug,
year = "2019",
address = "Florence, Italy",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/W19-5344",
doi = "10.18653/v1/W19-5344",
pages = "393--399",
abstract = "We describe LMU Munich{'}s machine translation system for German→Czech translation which was used to participate in the WMT19 shared task on unsupervised news translation. We train our model using monolingual data only from both languages. The final model is an unsupervised neural model using established techniques for unsupervised translation such as denoising autoencoding and online back-translation. We bootstrap the model with masked language model pretraining and enhance it with back-translations from an unsupervised phrase-based system which is itself bootstrapped using unsupervised bilingual word embeddings.",
}
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%0 Conference Proceedings
%T The LMU Munich Unsupervised Machine Translation System for WMT19
%A Stojanovski, Dario
%A Hangya, Viktor
%A Huck, Matthias
%A Fraser, Alexander
%S Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1)
%D 2019
%8 aug
%I Association for Computational Linguistics
%C Florence, Italy
%F stojanovski-etal-2019-lmu
%X We describe LMU Munich’s machine translation system for German→Czech translation which was used to participate in the WMT19 shared task on unsupervised news translation. We train our model using monolingual data only from both languages. The final model is an unsupervised neural model using established techniques for unsupervised translation such as denoising autoencoding and online back-translation. We bootstrap the model with masked language model pretraining and enhance it with back-translations from an unsupervised phrase-based system which is itself bootstrapped using unsupervised bilingual word embeddings.
%R 10.18653/v1/W19-5344
%U https://aclanthology.org/W19-5344
%U https://doi.org/10.18653/v1/W19-5344
%P 393-399
Markdown (Informal)
[The LMU Munich Unsupervised Machine Translation System for WMT19](https://aclanthology.org/W19-5344) (Stojanovski et al., 2019)
ACL