NMT-Keras
Table 1: Results of translation quality for all tasks in terms of TER [%] and BLEU [%]. Results that are statistically significantly better for each task and metric are boldfaced. Extended results can be found in Peris and Casacuberta (2018a).
['[EMPTY]', '[EMPTY]', 'TER (↓) PB-SMT', 'TER (↓) NMT', 'BLEU (↑) PB-SMT', 'BLEU (↑) NMT']
NMT-Keras outperformed Moses, obtaining significant TER and BLEU improvements almost every language pair. Only in one case Moses obtained better TER than NMT-Keras.