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Document-level machine translation incorporates inter-sentential dependencies into the translation of a source sentence.
Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu, ‘BLEU: a method for automatic evaluation of machine translation’, in Proceedings of the 40th annual meeting on association for computational linguistics
2002
Earlier work this paper cites.
Philipp Koehn, ‘Statistical significance tests for machine translation evaluation’, in Proceedings of Empirical Methods in Natural Language Processing
2004
Earlier work this paper cites.
Zhengxian Gong, Zhang Min, and Guodong Zhou, ‘Cache-based document-level statistical machine translation’, in Conference on Empirical Methods in Natural Language Processing
2011
Earlier work this paper cites.
Thomas Meyer and Andrei Popescu-Belis, ‘Using sense-labeled discourse connectives for statistical machine translation’, in Joint Workshop on Exploiting Synergies Between Information Retrieval & Machine Translation
2012
Earlier work this paper cites.
Tomas Mikolov, Kai Chen, Greg Corrado, and Jeffrey Dean, ‘Efficient estimation of word representations in vector space’, in Proceedings of the International Conference on Learning Representations
2013
Earlier work this paper cites.
D. Xiong, G. Ben, M. Zhang, Y. Liu, and Q. Liu, ‘Modeling lexical cohesion for document-level machine translation’, in International Joint Conference on Artificial Intelligence
2013
Earlier work this paper cites.
Ilya Sutskever, Oriol Vinyals, and Quoc V Le, ‘Sequence to sequence learning with neural networks’, in Advances in Neural Information Processing Systems
2014
Earlier work this paper cites.
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio, ‘Neural machine translation by jointly learning to align and translate’, in Proceedings of the International Conference on Learning Representations
2015
Earlier work this paper cites.
Diederik Kingma and Jimmy Ba, ‘Adam: A method for stochastic optimization’, in CoRR abs/1412.6980
2015
Earlier work this paper cites.
Ryan Kiros, Yukun Zhu, Ruslan Salakhutdinov, Richard S. Zemel, Antonio Torralba, Raquel Urtasun, and Sanja Fidler, ‘Skip-thought vectors’, in International Conference on Neural Information Processing Systems
2015
Earlier work this paper cites.
Rico Sennrich, Barry Haddow, and Alexandra Birch, ‘Neural machine translation of rare words with subword units’, in Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics
2015
Earlier work this paper cites.
2016
Earlier work this paper cites.
Mihail Eric, Lakshmi Krishnan, Francois Charette, and Christopher D. Manning, ‘Key-value retrieval networks for task-oriented dialogue’, in n Proceedings of the 18th Annual SIGdial Meeting on Discourse and Dialogue
2017
Cited alongside, same era.
Eva Martinez Garcia, Creus Carles, Cristina Espana-Bonet, and Lluis Marquez, ‘Using word embeddings to enforce document-level lexical consistency in machine translation’, in The Prague Bulletin of Mathematical Linguistics
2017
Cited alongside, same era.
Jonas Gehring, Michael Auli, David Grangier, Denis Yarats, and Yann N Dauphin, ‘Convolutional sequence to sequence learning’, in Proceedings of the 34th International Conference on Machine Learning-Volume 70
2017
Cited alongside, same era.
Edouard Grave, Armand Joulin, and Nicolas Usunier, ‘Improving neural language models with a continuous cache’, in Proceedings of the International Conference on Learning Representations
2017
Cited alongside, same era.
Shaohui Kuang, Deyi Xiong, Weihua Luo, and Guodong Zhou, ‘Cache-based document-level neural machine translation’, in International Conference on Computational Linguistics
2018
Later among the works it cites.
Samuel LÃaubli, Rico Sennrich, and Martin Volk, ‘Has machine translation achieved human parity? a case for document-level evaluation’, in Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
2018
Later among the works it cites.
Sameen Maruf and Gholamreza Haffari, ‘Document context neural machine translation with memory networks’, in In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics
2018
Later among the works it cites.
Lesly Miculicich, Dhananjay Ram, Nikolaos Pappas, and James Henderson, ‘Document-level neural machine translation with hierarchical attention networks’, in Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
2018
Later among the works it cites.
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Robert Ostling, Yves Scherrer, Jörg Tiedemann, Gongbo Tang, and Tommi Nieminen, ‘The helsinki neural machine translation system’, in Proceedings of the Second Conference on Machine Translation
2017
Cited alongside, same era.
Jörg Tiedemann and Yves Scherrer, ‘Neural machine translation with extended context’, in Proceedings of the Third Workshop on Discourse in Machine Translation,
2017
Cited alongside, same era.
Zhaopeng Tu, Liu Yang, Shuming Shi, and Zhang Tong, ‘Learning to remember translation history with a continuous cache’, in Transactions of the Association for Computational Linguistics
2017
Cited alongside, same era.
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, and Illia Polosukhin, ‘Attention is all you need’, in Advances in Neural Information Processing Systems
2017
Cited alongside, same era.
Xia Yingce, Tian Fei, Wu Lijun, Lin Jianxin, Qin Tao, Yu Nenghai, , and Liu Tie-Yan, ‘Deliberation networks: Sequence generation beyond one-pass decoding’, in In Advances in Neural Information Processing Systems
2017
Cited alongside, same era.
2017
Cited alongside, same era.
2018
Cited alongside, same era.
2018
Later among the works it cites.
Alec Radford, Karthik Narasimhan, Tim Salimans, and Ilya Sutskever, ‘Improving language understanding with unsupervised learning.’, Technical report, OpenAI
2018
Later among the works it cites.
Elena Voita, Pavel Serdyukov, Rico Sennrich, and Ivan Titov, ‘Context-aware neural machine translation learns anaphora resolution’, in Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics
2018
Later among the works it cites.
Longyue Wang, Zhaopeng Tu, Andy Way, and Qun Liu, ‘Exploiting cross-sentence context for neural machine translation’, in Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence
2018
Later among the works it cites.
Hao Xiong, Zhongjun He, Hua Wu, and Haifeng Wang, ‘Modeling coherence for discourse neural machine translation’, in Proceedings of the AAAI Conference on Artificial Intelligence
2018
Later among the works it cites.
Jiacheng Zhang, Huanbo Luan, Maosong Sun, Fei Fei Zhai, and Yang Liu, ‘Improving the transformer translation model with document-level context’, in Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
2018
Later among the works it cites.
Yue Zhao, Xiaolong Jin, Yuanzhuo Wang, and Xueqi Cheng, ‘Document embedding enhanced event detection with hierarchical and supervised attention’, in Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics
2018
Later among the works it cites.