YerevaNN’s Systems for WMT20 Biomedical Translation Task: The Effect of Fixing Misaligned Sentence Pairs
Karen Hambardzumyan, Hovhannes Tamoyan, Hrant Khachatrian · 2020
This report describes YerevaNN's neural machine translation systems and data processing pipelines developed for WMT20 biomedical translation task.We provide systems for English-Russian and English-German language pairs.For the English-Russian pair, our submissions achieve the best BLEU scores, with en→ru direction outperforming the other systems by a significant margin.We explain most of the improvements by our heavy data preprocessing pipeline which attempts to fix poorly aligned sentences in the parallel data.