Machine translation has recently achieved impressive performance thanks to recent advances in deep learning and the availability of large-scale parallel corpora. There have been numerous attempts to extend these successes to low-resource language pairs, yet requiring tens of thousands of parallel sentences. By learning to reconstruct in both languages from this shared feature space, the model effectively learns to translate without using any labeled data.
|Task||Dataset||Model||Metric name||Metric value||Global rank||Compare|
|Machine Translation||WMT2016 English-German||Unsupervised S2S with attention||BLEU score||9.64||# 5|
|Machine Translation||WMT2016 German-English||Unsupervised S2S with attention||BLEU score||13.33||# 5|