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Decoding with large-scale neural language models improves translation

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Fast and robust neural network joint models for statistical machine translation

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Layer normalization

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Jimmy Lei Ba, Jamie Ryan Kiros, and Geoffrey E Hinton. 2016 · 2016

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From softmax to sparsemax: A sparse model of attention and multi-label classification

André F. T. Martins and Ramón Fernandez Astudillo. 2016 · 2016

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Neural machine translation of rare words with subword units

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

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OpenNMT: Open-source toolkit for neural machine translation

Guillaume Klein, Yoon Kim, Yuntian Deng, Jean Senellart, and Alexander Rush. 2017 · 2017

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Attention is all you need

Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, and Illia Polosukhin. 2017 · 2017

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Hierarchical neural story generation

Machine translation of restaurant reviews: New corpus for domain adaptation and robustness

Alexandre Berard, Ioan Calapodescu, Marc Dymetman, Claude Roux, Jean-Luc Meunier, and Vassilina Nikoulina. 2019 · 2019

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Adaptively sparse transformers

Gonçalo M. Correia, Vlad Niculae, and André F. T. Martins. 2019 · 2019

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Sparse sequence-to-sequence models

Ben Peters, Vlad Niculae, and André F. T. Martins. 2019 · 2019

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On NMT search errors and model errors: Cat got your tongue?

Felix Stahlberg and Bill Byrne. 2019 · 2019

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Attention with sparsity regularization for neural machine translation and summarization

Jiajun Zhang, Yang Zhao, Haoran Li, and Chengqing Zong. 2019 · 2019

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The curious case of neural text degeneration

Ari Holtzman, Jan Buys, Li Du, Maxwell Forbes, and Yejin Choi. 2020 · 2020