SYSTRAN’s Pure Neural Machine Translation Systems
Table 8: BLEU scores of pruned models on an internal test set.
['Model', 'BLEU']
Pruning the parameters of a neural network is a common technique to reduce its memory footprint. This approach has been proven efficient for the NMT tasks in \newcitesee2016compression. Inspired by this work, we introduced similar pruning techniques in seq2seq-attn.