Transfer Learning for Low-Resource Neural Machine Translation

EMNLP 2016 Barret ZophDeniz YuretJonathan MayKevin Knight

The encoder-decoder framework for neural machine translation (NMT) has been shown effective in large data scenarios, but is much less effective for low-resource languages. We present a transfer learning method that significantly improves Bleu scores across a range of low-resource languages... (read more)

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