We present a new large-scale multilingual video description dataset, VATEX, which contains
over 41,250 videos and 825,000 captions in both English and Chinese. Among the captions …

We present the results from the second shared task on multimodal machine translation and
multilingual image description. Nine teams submitted 19 systems to two tasks. The …

Current work on multimodal machine translation (MMT) has suggested that the visual
modality is either unnecessary or only marginally beneficial. We posit that this is a …

OpenNMT is an open-source toolkit for neural machine translation (NMT). The system
prioritizes efficiency, modularity, and extensibility with the goal of supporting NMT research …

Multimodal machine translation involves drawing information from more than one modality,
based on the assumption that the additional modalities will contain useful alternative views …

We introduce a novel multimodal machine translation model that utilizes parallel visual and
textual information. Our model jointly optimizes the learning of a shared visual-language …

Interest in larger-context neural machine translation, including document-level and multi-
modal translation, has been growing. Multiple works have proposed new network …

Machine translation aims at automatically translating documents from one language to
another without human intervention. With the advent of deep neural networks (DNN), neural …

This paper describes multimodal machine translation systems developed jointly by Oregon
State University and Baidu Research for WMT 2018 Shared Task on multimodal translation …

As the machine learning research has developed, the field of translation and image analysis
such as optical character recognition has made great progress. However, video translation …