Issue #74 – Transfer Learning for Neural Machine Translation
20 Mar20 Issue #74 – Transfer Learning for Neural Machine Translation Author: Dr. Chao-Hong Liu, Machine Translation Scientist @ Iconic Building machine translation (MT) for low-resource languages is a challenging task. This is especially true when training using neural MT (NMT) methods that require a comparatively larger corpus of parallel data. In this post, we review the work done by Zoph et al. (2016) on training NMT systems for low-resource languages using transfer learning. Transfer Learning The idea of transfer […]
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