Probing the Need for Visual Context in Multimodal Machine Translation

Dropout: A simple way to prevent neural networks from overfitting

Nitish Srivastava, Geoffrey Hinton, Alex Krizhevsky, Ilya Sutskever, and Ruslan Salakhutdinov. 2014 · 1958

Earlier work this paper cites.

Human sensory dominance

Francis B. Colavita. 1974 · 1974

Earlier work this paper cites.

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

Earlier work this paper cites.

Imagenet: A large-scale hierarchical image database

J. Deng, W. Dong, R. Socher, L. Li, Kai Li, and Li Fei-Fei. 2009 · 2009

Earlier work this paper cites.

Better hypothesis testing for statistical machine translation: Controlling for optimizer instability

Jonathan H. Clark, Chris Dyer, Alon Lavie, and Noah A. Smith. 2011 · 2011

Earlier work this paper cites.

On the difficulty of training recurrent neural networks

Razvan Pascanu, Tomas Mikolov, and Yoshua Bengio. 2013 · 2013

Earlier work this paper cites.

Neural machine translation by jointly learning to align and translate

Original

Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2014 · 2014

Earlier work this paper cites.

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. 2014 · 2014

Earlier work this paper cites.

Meteor universal: Language specific translation evaluation for any target language

Michael Denkowski and Alon Lavie. 2014 · 2014

Earlier work this paper cites.

Adam: A method for stochastic optimization

Original

Diederik Kingma and Jimmy Ba. 2014 · 2014

Earlier work this paper cites.

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

Earlier work this paper cites.

Flickr30k entities: Collecting region-to-phrase correspondences for richer image-to-sentence models

B. A. Plummer, L. Wang, C. M. Cervantes, J. C. Caicedo, J. Hockenmaier, and S. Lazebnik. 2015 · 2015

Cited alongside, same era.

Multimodal attention for neural machine translation

Original

Ozan Caglayan, Loïc Barrault, and Fethi Bougares. 2016 · 2016

Cited alongside, same era.

DCU-UvA multimodal MT system report

Iacer Calixto, Desmond Elliott, and Stella Frank. 2016 · 2016

Cited alongside, same era.

Multi30K: Multilingual english-german image descriptions

Desmond Elliott, Stella Frank, Khalil Sima’an, and Lucia Specia. 2016 · 2016

Cited alongside, same era.

Deep residual learning for image recognition

K. He, X. Zhang, S. Ren, and J. Sun. 2016 · 2016

Cited alongside, same era.

Attention-based multimodal neural machine translation

Attention strategies for multi-source sequence-to-sequence learning

Jindřich Libovický and Jindřich Helcl. 2017 · 2017

Later among the works it cites.

OSU multimodal machine translation system report

Mingbo Ma, Dapeng Li, Kai Zhao, and Liang Huang. 2017 · 2017

Later among the works it cites.

Sheffield MultiMT: Using object posterior predictions for multimodal machine translation

Pranava Swaroop Madhyastha, Josiah Wang, and Lucia Specia. 2017 · 2017

Later among the works it cites.

Nematus: a toolkit for neural machine translation

Rico Sennrich, Orhan Firat, Kyunghyun Cho, Alexandra Birch, Barry Haddow, Julian Hitschler, Marcin Junczys-Dowmunt, Samuel Läubli, Antonio Valerio Miceli Barone, Jozef Mokry, and Maria Nadejde. 2017 · 2017

Later among the works it cites.

Findings of the third shared task on multimodal machine translation

Loïc Barrault, Fethi Bougares, Lucia Specia, Chiraag Lala, Desmond Elliott, and Stella Frank. 2018 · 2018

Later among the works it cites.