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We introduce a Multi-modal Neural Machine Translation model in which a doubly-attentive decoder naturally incorporates spatial visual features obtained using pre-trained convolutional neural networks, bridging the gap between image description and translation.
Improved backing-off for m-gram language modeling
Reinhard Kneser and Hermann Ney. 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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A Neural Probabilistic Language Model
Yoshua Bengio, Réjean Ducharme, Pascal Vincent, and Christian Janvin. 2003 · 2003
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Statistical Phrase-based Translation
Philipp Koehn, Franz Josef Och, and Daniel Marcu. 2003 · 2003
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Minimum Error Rate Training in Statistical Machine Translation
Franz Josef Och. 2003 · 2003
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Europarl: A Parallel Corpus for Statistical Machine Translation
Philipp Koehn. 2005 · 2005
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A study of translation edit rate with targeted human annotation
Matthew Snover, Bonnie Dorr, Richard Schwartz, Linnea Micciulla, and John Makhoul. 2006 · 2006
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Moses: Open Source Toolkit for Statistical Machine Translation
Philipp Koehn, Hieu Hoang, Alexandra Birch, Chris Callison-Burch, Marcello Federico, Nicola Bertoldi, Brooke Cowan, Wade Shen, Christine Moran, Richard Zens, Chris Dyer, Ondřej Bojar, Alexandra Constantin, and Evan Herbst. 2007 · 2007
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Better Hypothesis Testing for Statistical Machine Translation: Controlling for Optimizer Instability
Jonathan H. Clark, Chris Dyer, Alon Lavie, and Noah A. Smith. 2011 · 2011
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ADADELTA: An Adaptive Learning Rate Method
Matthew D. Zeiler. 2012 · 2012
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Recurrent Continuous Translation Models
Nal Kalchbrenner and Phil Blunsom. 2013 · 2013
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Learning phrase representations using rnn encoder–decoder for statistical machine translation
Kyunghyun Cho, Bart van Merrienboer, Caglar Gulcehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, and Yoshua Bengio. 2014b · 2014
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Meteor Universal: Language Specific Translation Evaluation for Any Target Language
Michael Denkowski and Alon Lavie. 2014 · 2014
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Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
Ross Girshick, Jeff Donahue, Trevor Darrell, and Jitendra Malik. 2014 · 2014
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Explain Images with Multimodal Recurrent Neural Networks
Junhua Mao, Wei Xu, Yi Yang, Jiang Wang, and Alan L. Yuille. 2014 · 2014
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Sequence to Sequence Learning with Neural Networks
Ilya Sutskever, Oriol Vinyals, and Quoc V Le. 2014 · 2014
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From image descriptions to visual denotations: New similarity metrics for semantic inference over event descriptions
Peter Young, Alice Lai, Micah Hodosh, and Julia Hockenmaier. 2014 · 2014
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Neural Machine Translation by Jointly Learning to Align and Translate
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2015 · 2015
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Findings of the 2015 workshop on statistical machine translation
Ondřej Bojar, Rajen Chatterjee, Christian Federmann, Barry Haddow, Matthias Huck, Chris Hokamp, Philipp Koehn, Varvara Logacheva, Christof Monz, Matteo Negri, Matt Post, Carolina Scarton, Lucia Specia, and Marco Turchi. 2015 · 2015
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Does multimodality help human and machine for translation and image captioning?
Ozan Caglayan, Walid Aransa, Yaxing Wang, Marc Masana, Mercedes García-Martínez, Fethi Bougares, Loïc Barrault, and Joost van de Weijer. 2016 · 2016
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Dcu-uva multimodal mt system report
Iacer Calixto, Desmond Elliott, and Stella Frank. 2016 · 2016
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Multi30K: Multilingual English-German Image Descriptions
Desmond Elliott, Stella Frank, Khalil Sima’an, and Lucia Specia. 2016 · 2016
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Multi-Way, Multilingual Neural Machine Translation with a Shared Attention Mechanism
Orhan Firat, Kyunghyun Cho, and Yoshua Bengio. 2016 · 2016
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A Theoretically Grounded Application of Dropout in Recurrent Neural Networks
Yarin Gal and Zoubin Ghahramani. 2016 · 2016
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Multimodal Pivots for Image Caption Translation
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Multi-Task Learning for Multiple Language Translation
Daxiang Dong, Hua Wu, Wei He, Dianhai Yu, and Haifeng Wang. 2015 · 2015
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Multi-Language Image Description with Neural Sequence Models
Desmond Elliott, Stella Frank, and Eva Hasler. 2015 · 2015
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun. 2015 · 2015
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On Using Very Large Target Vocabulary for Neural Machine Translation
Sébastien Jean, Kyunghyun Cho, Roland Memisevic, and Yoshua Bengio. 2015 · 2015
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Effective Approaches to Attention-based Neural Machine Translation
Thang Luong, Hieu Pham, and Christopher D. Manning. 2015 · 2015
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chrf: character n-gram f-score for automatic mt evaluation
Maja Popović. 2015 · 2015
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Very deep convolutional networks for large-scale image recognition
K. Simonyan and A. Zisserman. 2015 · 2015
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Julian Hitschler, Shigehiko Schamoni, and Stefan Riezler. 2016 · 2016
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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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CUNI System for WMT16 Automatic Post-Editing and Multimodal Translation Tasks
Jindřich Libovický, Jindřich Helcl, Marek Tlustý, Ondřej Bojar, and Pavel Pecina. 2016 · 2016
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Multi-Task Sequence to Sequence Learning
Minh-Thang Luong, Quoc V. Le, Ilya Sutskever, Oriol Vinyals, and Lukasz Kaiser. 2016 · 2016
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SHEF-Multimodal: Grounding Machine Translation on Images
Kashif Shah, Josiah Wang, and Lucia Specia. 2016 · 2016
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A Shared Task on Multimodal Machine Translation and Crosslingual Image Description
Lucia Specia, Stella Frank, Khalil Sima’an, and Desmond Elliott. 2016 · 2016
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Modeling Coverage for Neural Machine Translation
Zhaopeng Tu, Zhengdong Lu, Yang Liu, Xiaohua Liu, and Hang Li. 2016 · 2016
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Show, attend and tell: Neural image caption generation with visual attention
Kelvin Xu, Jimmy Ba, Ryan Kiros, Kyunghyun Cho, Aaron Courville, Ruslan Salakhudinov, Rich Zemel, and Yoshua Bengio. 2015 · 2057
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