Unsupervised Statistical Machine Translation

Mikel ArtetxeGorka LabakaEneko Agirre

   Papers with code   Abstract  PDF

While modern machine translation has relied on large parallel corpora, a recent line of work has managed to train Neural Machine Translation (NMT) systems from monolingual corpora only (Artetxe et al., 2018c; Lample et al., 2018). Despite the potential of this approach for low-resource settings, existing systems are far behind their supervised counterparts, limiting their practical interest... (read more)

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