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Multi-modal machine translation (MMT) improves translation quality by introducing visual information.
Doubly-attentive decoder for multi-modal neural machine translation
Iacer Calixto, Qun Liu, and Nick Campbell. 2017 · 1924
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Training with noise is equivalent to tikhonov regularization
Christopher M. Bishop. 1995 · 1995
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Bleu: a method for automatic evaluation of machine translation
Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu. 2002 · 2002
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Meteor 1.3: Automatic metric for reliable optimization and evaluation of machine translation systems
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Multi30k: Multilingual english-german image descriptions
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Attention-based multimodal neural machine translation
Po-Yao Huang, Frederick Liu, Sz-Rung Shiang, Jean Oh, and Chris Dyer. 2016 · 2016
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LIUM-CVC submissions for WMT17 multimodal translation task
Ozan Caglayan, Walid Aransa, Adrien Bardet, Mercedes García-Martínez, Fethi Bougares, Loïc Barrault, Marc Masana, Luis Herranz, and Joost van de Weijer. 2017 · 2017
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Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, and Illia Polosukhin. 2017 · 2017
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Mingyang Zhou, Runxiang Cheng, Yong Jae Lee, and Zhou Yu. 2018 · 2018
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Latent variable model for multi-modal translation
Distilling translations with visual awareness
Julia Ive, Pranava Madhyastha, and Lucia Specia. 2019 · 2019
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How does selective mechanism improve self-attention networks?
Xinwei Geng, Longyue Wang, Xing Wang, Bing Qin, Ting Liu, and Zhaopeng Tu. 2020 · 2020
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Multimodal transformer for multimodal machine translation
Shaowei Yao and Xiaojun Wan. 2020 · 2020
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Neural machine translation with universal visual representation
Zhuosheng Zhang, Kehai Chen, Rui Wang, Masao Utiyama, Eiichiro Sumita, Zuchao Li, and Hai Zhao. 2020 · 2020
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Hierarchical gumbel attention network for text-based person search
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Iacer Calixto, Miguel Rios, and Wilker Aziz. 2019 · 2019
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