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AFRL-Ohio State extends its usage of visual domain-driven machine translation for use as a peer with traditional machine translation systems. As a peer, it is enveloped into a system combination of neural and statistical MT systems to present a composite translation.

The AFRL-Ohio State WMT18 Multimodal System: Combining Visual with Traditional