natural-language-processing-5
Multimodal Machine Translation
3260 papers • 126 benchmarks • 313 datasets
Multimodal machine translation is the task of doing machine translation with multiple data sources - for example, translating "a bird is flying over water" + an image of a bird over water to German text. ( Image credit: Findings of the Third Shared Task on Multimodal Machine Translation )
(Image credit: Papersgraph)
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These leaderboards are used to track progress in multimodal-machine-translation-5
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Multi30K
Multi30K
Hindi Visual Genome (Test Set)
Hindi Visual Genome (Test Set)
Libraries
iUse these libraries to find multimodal-machine-translation-5 models and implementations
2 papers 125
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Attention is All you Need
Noam Shazeer, Ashish Vaswani, Lukasz Kaiser, Jakob Uszkoreit, Niki Parmar, I. Polosukhin, Llion Jones, Aidan N. Gomez•Sun Jun 11 2017
A new simple network architecture, the Transformer, based solely on attention mechanisms, dispensing with recurrence and convolutions entirely is proposed, which generalizes well to other tasks by applying it successfully to English constituency parsing both with large and limited training data.
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