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Ensemble of Translators with Automatic Selection of the Best Translation - the submission of FOKUS to the WMT 18 biomedical translation task -

: Grozea, Cristian

Volltext (PDF; )

Bojar, O. ; Association for Computational Linguistics -ACL-:
WMT 2018, Third Conference on Machine Translation. Proceedings of the conference : October 31-November 1, 2018, Brussels, Belgium
San Francisco, Calif.: ACL, 2018
ISBN: 978-1-948087-81-0
Conference on Machine Translation (WMT) <3, 2018, Brussels>
Conference on Empirical Methods in Natural Language Processing (EMNLP) <2018, Brussels>
Konferenzbeitrag, Elektronische Publikation
Fraunhofer FOKUS ()
machine translation; English; Romanian; medical; NLP; NMT; MT

This paper describes the system of Fraunhofer FOKUS for the WMT 2018 biomedical translation task. Our approach, described here, was to automatically select the most promising translation from a set of candidates produced with NMT (Transformer) models. We selected the highest fidelity translation of each sentence by using a dictionary, stemming and a set of heuristics. Our method is simple, can use any machine translators, and requires no further training in addition to that already employed to build the NMT models. The downside is that the score did not increase over the best in ensemble, but was quite close to it (difference about 0.5 BLEU).