Issue #105 – Improving Non-autoregressive Neural Machine Translation with Monolingual Data
30 Oct20 Issue #105 – Improving Non-autoregressive Neural Machine Translation with Monolingual Data Author: Dr. Chao-Hong Liu, Machine Translation Scientist @ Iconic Introduction In the training of neural machine translation (NMT) systems, determining how to take advantage of monolingual data and improve the performance of the resulting trained models is a challenge. In this post, we review an approach proposed by Zhou and Keung (2020), under the framework of non-autoregressive (NAR) NMT. The results confirm that NAR models achieve better […]
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