System Description: The Submission of FOKUS to the WMT 19 Robustness Task

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F19%3A10427147" target="_blank" >RIV/00216208:11320/19:10427147 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.aclweb.org/anthology/W19-5363" target="_blank" >https://www.aclweb.org/anthology/W19-5363</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

System Description: The Submission of FOKUS to the WMT 19 Robustness Task

Popis výsledku v původním jazyce

This paper describes the systems of Fraunhofer 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.

Název v anglickém jazyce

System Description: The Submission of FOKUS to the WMT 19 Robustness Task

Popis výsledku anglicky

This paper describes the systems of Fraunhofer 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.

Druh

O - Ostatní výsledky

CEP obor

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OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

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Návaznosti

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Rok uplatnění

2019

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů