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Jul, 2017
通过丰富视觉特征和视觉驱动的词向量提升多模态神经机器翻译
Visually Grounded Word Embeddings and Richer Visual Features for Improving Multimodal Neural Machine Translation
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Jean-Benoit Delbrouck, Stéphane Dupont, Omar Seddati
TL;DR
本文探讨了在多模态神经机器翻译(MNMT)中使用密集标注模型进行视觉特征提取和词嵌入，以提高图像描述翻译模型的效果。
Abstract
In
multimodal neural machine translation
(MNMT), a neural model generates a translated sentence that describes an image, given the image itself and one source descriptions in English. This is considered as the multimodal
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