We observe that translation systems trained on 1,000,000 sentence pairs have better BLEU scores than the reference systems trained on 2,000,000 parallel sentences from Europarl, showing that parallel sentence extraction allows translation systems to 9 https://dumps.wikimedia.org/ 10 http://www.statmt.org/moses/giza/GIZA++.html 11 https://github.com/kpu/kenlm 12 https://github.com/OpenNMT/OpenNMT-py 13 We could have trained NMT systems for more epochs to obtain better BLEU scores, but our objective is not to compare SMT with NMT systems.
14 the two first systems for each approach and not from the total of 28 machine translation systems.