Issue #97 – Target Conditioned Sampling: Optimising Data Selection for Multilingual Neural Machine Translation

03 Sep20 Issue #97 – Target Conditioned Sampling: Optimising Data Selection for Multilingual Neural Machine Translation Author: Dr. Chao-Hong Liu, Machine Translation Scientist @ Iconic Introduction It is known that neural machine translation (NMT) is particularly tricky in the case of low-resource languages. Thus, it is not surprising that researchers are actively investigating how to improve the performance on NMT systems for low-resource languages and many approaches are currently being explored. In issue #88 of our blog we reviewed a […]

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