Contextual Parameter Generation for Neural Machine Translation

[s.arman]

Machine translation is the problem of translating sentences from some source language to a target language. Neural machine translation (NMT) directly models the mapping of a source language to a target language without any need for training or tuning any component of the system separately. This has led to a rapid progress in NMT and its successful adoption in many large-scale settings.

for more visit : https://blog.ml.cmu.edu/2019/01/14/contextual-parameter-generation-for-universal-neural-machine-translation/