Before revision:  Our proposed end-to-end imagination-based machine translation model (ImagiT ) first learns to generate semantic-consistent visual representation from  source sentence, and then generate target sentence based on both text representation and imagined visual representation.
After revision:  Our proposed end-to-end imagination-based machine translation model (ImagiT ) first learns to generate semantic-consistent visual representation from source sentence, and then utilizes both source sentence and the "imagined representation" to produce a target translation. Unlike previous methods, it only needs the source sentence at the inference time.