JUCBNMT at WMT2018 News Translation Task: Character Based Neural Machine Translation of Finnish to English
Table 2: Evaluation Metrics
['[BOLD] Metrics', '[BOLD] Score']
Our system was a constrained system, which means that we only used data given by the organizers to train our system. The output was converted to an SGML format, the code for which was provided by the organizers. The results were submitted to http://matrix.statmt.org/ for evaluation. The organizers calculated the BLEU score, BLEU-cased score, TER score, BEER 2.0 score, and Character TER score for our submission. As for the human ranking scores, the system fetched a standardized Average Z score of -0.404 and a non-standardized Average % score of 58.9 Bojar et al.