Multimodal Machine Translation with Embedding Prediction

Doubly-attentive decoder for multi-modal neural machine translation

Iacer Calixto, Qun Liu, and Nick Campbell. 2017 · 1924

Earlier work this paper cites.

BLEU: a method for automatic evaluation of machine translation

Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu. 2002 · 2002

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.

Neural machine translation by jointly learning to align and translate

Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2015 · 2015

Earlier work this paper cites.

Hubness and pollution: Delving into cross-space mapping for zero-shot learning

Angeliki Lazaridou, Georgiana Dinu, and Marco Baroni. 2015 · 2015

Earlier work this paper cites.

Multi30k: Multilingual English-German image descriptions

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

Earlier work this paper cites.

Deep residual learning for image recognition

Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun. 2016 · 2016

Cited alongside, same era.

Neural machine translation of rare words with subword units

Rico Sennrich, Barry Haddow, and Alexandra Birch. 2016 · 2016

Cited alongside, same era.

Enriching word vectors with subword information

Piotr Bojanowski, Edouard Grave, Armand Joulin, and Tomas Mikolov. 2017 · 2017

Cited alongside, same era.

Imagination improves multimodal translation

Desmond Elliott and Àkos Kádár. 2017 · 2017

Cited alongside, same era.

Learning word vectors for 157 languages

Edouard Grave, Piotr Bojanowski, Prakhar Gupta, Armand Joulin, and Tomas Mikolov. 2018 · 2018

Cited alongside, same era.

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. 2017a

The MeMAD submission to the WMT18 multimodal translation task

Stig-Arne Grönroos, Benoit Huet, Mikko Kurimo, Jorma Laaksonen, Bernard Merialdo, Phu Pham, Mats Sjöberg, Umut Sulubacak, Jörg Tiedemann, Raphael Troncy, and Raúl Vázquez. 2018 · 2018

Later among the works it cites.

CUNI system for the WMT18 multimodal translation task

Jindřich Helcl, Jindřich Libovický, and Dusan Varis. 2018 · 2018

Later among the works it cites.

All-but-the-Top: Simple and effective postprocessing for word representations

Jiaqi Mu and Pramod Viswanath. 2018 · 2018

Later among the works it cites.

When and why are pre-trained word embeddings useful for neural machine translation?

Ye Qi, Devendra Sachan, Matthieu Felix, Sarguna Padmanabhan, and Graham Neubig. 2018 · 2018

Later among the works it cites.

Von Mises-Fisher loss for training sequence to sequence models with continuous outputs

Sachin Kumar and Yulia Tsvetkov. 2019 · 2019

Closest in time.