most citedGood for Misconceived Reasons: An Empirical Revisiting on the Need for Visual Context in Multimodal Machine Translation

3 citations · 3 across the 1 of their papers we have counts for

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1 paper

cs.CL2021★ 3 cited

Good for Misconceived Reasons: An Empirical Revisiting on the Need for Visual Context in Multimodal Machine Translation

Zhiyong Wu, Lingpeng Kong, Wei Bi +2

A neural multimodal machine translation (MMT) system is one that aims to perform better translation by extending conventional text-only translation models with multimodal informati…