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20182026
most citedTraining Neural Machine Translation using Word Embedding-based Loss

13 citations · 24 across the 11 of their papers we have counts for

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Showing 2021Show all

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cs.CL2021

Input Augmentation Improves Constrained Beam Search for Neural Machine Translation: NTT at WAT 2021

Katsuki Chousa, Makoto Morishita

This paper describes our systems that were submitted to the restricted translation task at WAT 2021. In this task, the systems are required to output translated sentences that cont…