Back translation and forward translation for leveraging monolingual data for Low-Resource NMT
In back translation, pseudo parallel sentence pairs are generated by translating the target-side monolingual sentences to the source language via a translation system in the reverse direction, while in forward translation, pseudo parallel sentence pairs are generated by translating the source-side monolingual sentences to the target language via a translation system in the same direction. Following that, the pseudo parallel data of either kind is used to train the NMT model. Back and forward translation have been shown to provide promising performance improvement on NMT systems.
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Deep Learning (in Machine learning)
Data Science
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