Dual Learning: Theoretical Study and an Algorithmic Extension
Table 6: Experimental Results on MultiUN (0.2M bilingual data)
['[EMPTY]', 'Vanilla', 'Dual', 'Multi-step']
We propose the multi-step dual learning framework by extending dual learning. This framework uses dual learning as the basic building block and leverages a third, a fourth, or more languages to help boost the translator qualities between the original two languages. We prove that under mild conditions, this framework outperforms dual learning We have the following observations: