Multimodal Attention for Neural Machine Translation

Understand

The attention mechanism is an important part of the neural machine translation (NMT) where it was reported to produce richer source representation compared to fixed-length encoding sequence-to-sequence models.

• Recently, the effectiveness of attention has also been explored in the context of image captioning.
• In this work, we assess the feasibility of a multimodal attention mechanism that simultaneously focus over an image and its natural language description for generating a description in another language.
• We train several variants of our proposed attention mechanism on the Multi30k multilingual image captioning dataset.