Zero-Shot Language Transfer vs Iterative Back Translation for Unsupervised Machine Translation

Aviral Joshi; Chengzhi Huang; Har Simrat Singh

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arxiv 2104.00106 v1 pith:UWKQANOR submitted 2021-03-31 cs.CL cs.AIcs.LG

Zero-Shot Language Transfer vs Iterative Back Translation for Unsupervised Machine Translation

Aviral Joshi , Chengzhi Huang , Har Simrat Singh This is my paper

classification cs.CL cs.AIcs.LG

keywords translationunsupervisedmachinetransferaffectsdatalanguagelearning

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This work focuses on comparing different solutions for machine translation on low resource language pairs, namely, with zero-shot transfer learning and unsupervised machine translation. We discuss how the data size affects the performance of both unsupervised MT and transfer learning. Additionally we also look at how the domain of the data affects the result of unsupervised MT. The code to all the experiments performed in this project are accessible on Github.

Zero-Shot Language Transfer vs Iterative Back Translation for Unsupervised Machine Translation

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