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Context-aware neural machine translation involves leveraging information beyond sentence-level context to resolve inter-sentential discourse dependencies and improve document-level translation quality, and has given rise to a number of recent techniques.
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One translation per discourse
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PROTEST: A test suite for evaluating pronouns in machine translation
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Neural machine translation of rare words with subword units
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Findings of the 2017 conference on machine translation (wmt17)
Ond rej Bojar, Rajen Chatterjee, Christian Federmann, Yvette Graham, Barry Haddow, Shujian Huang, Matthias Huck, Philipp Koehn, Qun Liu, Varvara Logacheva, Christof Monz, Matteo Negri, Matt Post, Raphael Rubino, Lucia Specia, and Marco Turchi. 2017 · 2017
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Improving word sense disambiguation in neural machine translation with sense embeddings
Annette Rios Gonzales, Laura Mascarell, and Rico Sennrich. 2017 · 2017
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On integrating discourse in machine translation
Karin Sim Smith. 2017 · 2017
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Neural machine translation with extended context
Jörg Tiedemann and Yves Scherrer. 2017 · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Łukasz Kaiser, and Illia Polosukhin. 2017 · 2017
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Evaluating discourse phenomena in neural machine translation
Rachel Bawden, Rico Sennrich, Alexandra Birch, and Barry Haddow. 2018 · 2018
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Encoding gated translation memory into neural machine translation
Qian Cao and Deyi Xiong. 2018 · 2018
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Achieving human parity on automatic chinese to english news translation
Hany Hassan, Anthony Aue, Chang Chen, Vishal Chowdhary, Jonathan Clark, Christian Federmann, Xuedong Huang, Marcin Junczys-Dowmunt, William Lewis, Mu Li, Shujie Liu, Tie-Yan Liu, Renqian Luo, Arul Menezes, Tao Qin, Frank Seide, Xu Tan, Fei Tian, Lijun Wu, Shuangzhi Wu, Yingce Xia, Dongdong Zhang, Zhirui Zhang, and Ming Zhou. 2018 · 2018
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Fusing recency into neural machine translation with an inter-sentence gate model
Shaohui Kuang and Deyi Xiong. 2018 · 2018
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SentencePiece: A simple and language independent subword tokenizer and detokenizer for neural text processing
Taku Kudo and John Richardson. 2018 · 2018
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Has machine translation achieved human parity? a case for document-level evaluation
Samuel Läubli, Rico Sennrich, and Martin Volk. 2018 · 2018
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OpenSubtitles2018: Statistical rescoring of sentence alignments in large, noisy parallel corpora
Pierre Lison, Jörg Tiedemann, and Milen Kouylekov. 2018 · 2018
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Document context neural machine translation with memory networks
Sameen Maruf and Gholamreza Haffari. 2018 · 2018
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Document-level neural machine translation with hierarchical attention networks
Lesly Miculicich, Dhananjay Ram, Nikolaos Pappas, and James Henderson. 2018 · 2018
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Incorporating external annotation to improve named entity translation in NMT
Maciej Modrzejewski, Miriam Exel, Bianka Buschbeck, Thanh-Le Ha, and Alexander Waibel. 2020 · 2020
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COMET: A neural framework for MT evaluation
Ricardo Rei, Craig Stewart, Ana C Farinha, and Alon Lavie. 2020 · 2020
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A survey of deep learning techniques for neural machine translation
Shuoheng Yang, Yuxin Wang, and Xiaowen Chu. 2020 · 2020
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Paragraph-parallel based neural machine translation model with hierarchical attention
Yuqi Zhang and Gongshen Liu. 2020 · 2020
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Measuring and increasing context usage in context-aware machine translation
Patrick Fernandes, Kayo Yin, Graham Neubig, and André F. T. Martins. 2021 · 2021
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A large-scale test set for the evaluation of context-aware pronoun translation in neural machine translation
Mathias Müller, Annette Rios, Elena Voita, and Rico Sennrich. 2018 · 2018
Cited alongside, same era.
A call for clarity in reporting BLEU scores
Matt Post. 2018 · 2018
Cited alongside, same era.
Coreference and coherence in neural machine translation: A study using oracle experiments
Dario Stojanovski and Alexander Fraser. 2018 · 2018
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Learning to remember translation history with a continuous cache
Zhaopeng Tu, Yang Liu, Shuming Shi, and Tong Zhang. 2018 · 2018
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Context-aware neural machine translation learns anaphora resolution
Elena Voita, Pavel Serdyukov, Rico Sennrich, and Ivan Titov. 2018 · 2018
Cited alongside, same era.
Improving the transformer translation model with document-level context
Jiacheng Zhang, Huanbo Luan, Maosong Sun, Feifei Zhai, Jingfang Xu, Min Zhang, and Yang Liu. 2018 · 2018
Cited alongside, same era.
When and why is document-level context useful in neural machine translation?
Yunsu Kim, Duc Thanh Tran, and Hermann Ney. 2019 · 2019
Cited alongside, same era.
Contrastive learning for context-aware neural machine translation using coreference information
Yongkeun Hwang, Hyeongu Yun, and Kyomin Jung. 2021 · 2021
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A comparison of approaches to document-level machine translation
Zhiyi Ma, Sergey Edunov, and Michael Auli. 2021 · 2021
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BlonDe: An automatic evaluation metric for document-level machine translation
Yuchen Eleanor Jiang, Tianyu Liu, Shuming Ma, Dongdong Zhang, Jian Yang, Haoyang Huang, Rico Sennrich, Ryan Cotterell, Mrinmaya Sachan, and Ming Zhou. 2022 · 2022
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ChatGPT: A large-scale conversational model
OpenAI. 2022 · 2022
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Rethinking document-level neural machine translation
Zewei Sun, Mingxuan Wang, Hao Zhou, Chengqi Zhao, Shujian Huang, Jiajun Chen, and Lei Li. 2022 · 2022
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Efficient transformers: A survey
Yi Tay, Mostafa Dehghani, Dara Bahri, and Donald Metzler. 2022 · 2022
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Exploring document-level literary machine translation with parallel paragraphs from world literature
Katherine Thai, Marzena Karpinska, Kalpesh Krishna, Bill Ray, Moira Inghilleri, John Wieting, and Mohit Iyyer. 2022 · 2022
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Embarrassingly easy document-level mt metrics: How to convert any pretrained metric into a document-level metric
Giorgos Vernikos, Brian Thompson, Prashant Mathur, and Marcello Federico. 2022 · 2022
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Modeling context with linear attention for scalable document-level translation
Zhaofeng Wu, Hao Peng, Nikolaos Pappas, and Noah A. Smith. 2022 · 2022
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Exploring paracrawl for document-level neural machine translation
Yusser Al Ghussin, Jingyi Zhang, and Josef van Genabith. 2023 · 2023
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Discourse-centric evaluation of document-level machine translation with a new densely annotated parallel corpus of novels
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Large language models effectively leverage document-level context for literary translation, but critical errors persist
Marzena Karpinska and Mohit Iyyer. 2023 · 2023
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Mega: Moving average equipped gated attention
Xuezhe Ma, Chunting Zhou, Xiang Kong, Junxian He, Liangke Gui, Graham Neubig, Jonathan May, and Luke Zettlemoyer. 2023 · 2023
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Escaping the sentence-level paradigm in machine translation
Matt Post and Marcin Junczys-Dowmunt. 2023 · 2023
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Document-level machine translation with large language models
Longyue Wang, Chenyang Lyu, Tianbo Ji, Zhirui Zhang, Dian Yu, Shuming Shi, and Zhaopeng Tu. 2023 · 2023
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Document flattening: Beyond concatenating context for document-level neural machine translation
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