System Description - the submission of FOKUS to the WMT 19 robustness task -

FOURTH CONFERENCE ON MACHINE TRANSLATION (WMT 2019)(2019)

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摘要
This paper describes the systems of Fraun-hofer FOKUS for the WMT 2019 machine translation robustness task. We have made submissions to the EN-FR, FR-EN, and JA-EN language pairs. The first two were made with a baseline translator, trained on clean data for the WMT 2019 biomedical translation task. These baselines improved over the baselines from the MTNT paper by 2 to 4 BLEU points, but where not trained on the same data. The last one used the same model class and training procedure, with induced typos in the training data to increase the model robustness.
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