These sentences not only describe the visual appearance of the product, but also the product usage.
capturing the connection between English → German English → French Method BLEU METEOR BLEU METEOR Imagination (Elliott and Kádár, 2017) 30.2 51.2 N/A N/A LIUMCVC (Caglayan et al., 2017) 31.1 ± 0.7 52.2 ± 0.4 52.7 ± 0.9 69.5 ± 0.7 Text-Only NMT 31.6 ± 0.5 52.2 ± 0.3 53.5 ± 0.7 70.0 ± 0.7 VAG-NMT 31.6 ± 0.3 52.2 ± 0.3 53.8 ± 0.3 70.3 ± 0.5  (Caglayan et al., 2017) 27.1 ± 0.9 47.2 ± 0.6 43.5 ± 1.2 63.2 ± 0.9 Text-Only NMT 27.9 ± 0.6 47.8 ± 0.6 44.6 ± 0.6 64.2 ± 0.5 VAG-NMT 28.3 ± 0.6 48.0 ± 0.5 45.0 ± 0.4 64.7 ± 0.4 5 Experiments and Results We evaluate our proposed model on three datasets: Multi30K (Elliott et al., 2016), Ambiguous COCO , and our newly-collected IKEA dataset.