Unsupervised Neural Machine Translation

Mikel ArtetxeGorka LabakaEneko AgirreKyunghyun Cho

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In spite of the recent success of neural machine translation (NMT) in standard benchmarks, the lack of large parallel corpora poses a major practical problem for many language pairs. There have been several proposals to alleviate this issue with, for instance, triangulation and semi-supervised learning techniques, but they still require a strong cross-lingual signal... (read more)

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