Efficiently Reusing Old Models Across Languages via Transfer Learning

24 Sep 2019Tom KocmiOndřej Bojar

Recent progress in neural machine translation is directed towards larger neural networks trained on an increasing amount of hardware resources. As a result, NMT models are costly to train, both financially, due to the electricity and hardware cost, and environmentally, due to the carbon footprint... (read more)

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