  This paper describes Oregon State University's submissions to the shared
WMT'17 task "multimodal translation task I". In this task, all the sentence
pairs are image captions in different languages. The key difference between
this task and conventional machine translation is that we have corresponding
images as additional information for each sentence pair. In this paper, we
introduce a simple but effective system which takes an image shared between
different languages, feeding it into the both encoding and decoding side. We
report our system's performance for English-French and English-German with
Flickr30K (in-domain) and MSCOCO (out-of-domain) datasets. Our system achieves
the best performance in TER for English-German for MSCOCO dataset.
