@inproceedings{helcl-etal-2019-cuni,
title = "{CUNI} System for the {WMT}19 Robustness Task",
author = "Helcl, Jind{\v{r}}ich and
Libovick{\'y}, Jind{\v{r}}ich and
Popel, Martin",
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/W19-5364",
doi = "10.18653/v1/W19-5364",
pages = "539--543",
abstract = "We present our submission to the WMT19 Robustness Task. Our baseline system is the Charles University (CUNI) Transformer system trained for the WMT18 shared task on News Translation. Quantitative results show that the CUNI Transformer system is already far more robust to noisy input than the LSTM-based baseline provided by the task organizers. We further improved the performance of our model by fine-tuning on the in-domain noisy data without influencing the translation quality on the news domain.",
}
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%0 Conference Proceedings
%T CUNI System for the WMT19 Robustness Task
%A Helcl, Jindřich
%A Libovický, Jindřich
%A Popel, Martin
%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 helcl-etal-2019-cuni
%X We present our submission to the WMT19 Robustness Task. Our baseline system is the Charles University (CUNI) Transformer system trained for the WMT18 shared task on News Translation. Quantitative results show that the CUNI Transformer system is already far more robust to noisy input than the LSTM-based baseline provided by the task organizers. We further improved the performance of our model by fine-tuning on the in-domain noisy data without influencing the translation quality on the news domain.
%R 10.18653/v1/W19-5364
%U https://aclanthology.org/W19-5364
%U https://doi.org/10.18653/v1/W19-5364
%P 539-543
Markdown (Informal)
[CUNI System for the WMT19 Robustness Task](https://aclanthology.org/W19-5364) (Helcl et al., 2019)
ACL
- Jindřich Helcl, Jindřich Libovický, and Martin Popel. 2019. CUNI System for the WMT19 Robustness Task. In Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1), pages 539–543, Florence, Italy. Association for Computational Linguistics.