This paper introduces the AFRL-OSU Multimodal Machine Translation Task 1 system for submission to the Conference on Machine Translation 2017 (WMT17). This is an atypical MT system in that the image is the catalyst for the MT results, and not the textual content.

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.

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