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The MLLP-UPV Supervised Machine Translation Systems for WMT19 News Translation Task

2019-08-01 · WS 2019 8 · Javier Iranzo-S{\'a}nchez, Gon{\c{c}}al Garc{\'e}s D{\'\i}az-Mun{\'\i}o, Jorge Civera, Alfons Juan

This paper describes the participation of the MLLP research group of the Universitat Polit{\e}cnica de Val{\e}ncia in the WMT 2019 News Translation Shared Task. In this edition, we have submitted systems for the German ↔ English and German ↔ French language pairs, participating in both directions of each pair. Our submitted systems, based on the Transformer architecture, make ample use of data filtering, synthetic data and domain adaptation through fine-tuning.

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Domain AdaptationMachine TranslationTranslation

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