--- title: "Who cites Does Neural Machine Translation — 87 citing papers" description: "87 papers of the Elamur Research library cite «Does Neural Machine Translation Benefit from Larger Context?», found in their bibliographies…" canonical: "https://research.elamur.ai/free/en/papers/jean-2017-neural-machine-translation-benefit-larger/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/jean-2017-neural-machine-translation-benefit-larger/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Does Neural Machine Translation Benefit from…](https://md.research.elamur.ai/free/en/papers/jean-2017-neural-machine-translation-benefit-larger/) / cited by # Who cites «Does Neural Machine Translation Benefit from Larger Context?» 87 papers of our library cite it (of the 149,439 whose bibliographies we read) · 18 with a page here, the most cited first · [← back to «Does Neural Machine Translation Benefit from Larger Context?»](https://md.research.elamur.ai/free/en/papers/jean-2017-neural-machine-translation-benefit-larger/) 1. **[Context-Aware Neural Machine Translation Learns Anaphora Resolution](https://md.research.elamur.ai/free/en/papers/voita-2018-context-aware-neural-machine-translation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Elena Voita, Pavel Serdyukov, Rico Sennrich, et al.*2018 · 449 citations* 2. **[Document-Level Neural Machine Translation with Hierarchical Attention Networks](https://md.research.elamur.ai/free/en/papers/miculicich-2018-document-level-neural-machine-translation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Lesly Miculicich, Dhananjay Ram, Nikolaos Pappas, et al.*2018 · 415 citations* 3. **[When a Good Translation is Wrong in Context: Context-Aware Machine Translation Improves on Deixis, Ellipsis, and Lexical Cohesion](https://md.research.elamur.ai/free/en/papers/voita-2019-when-good-translation-is-wrong/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Elena Voita, Rico Sennrich, Ivan Titov*2019 · 323 citations* 4. **[Paraphrasing evades detectors of AI-generated text, but retrieval is an effective defense](https://md.research.elamur.ai/free/en/papers/krishna-2023-paraphrasing-evades-detectors-ai-generated/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Kalpesh Krishna, Yixiao Song, Marzena Karpinska, et al.*2023 · 310 citations* 5. **[Exploiting Cross-Sentence Context for Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/wang-2017-exploiting-cross-sentence-context-neural/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Longyue Wang, Zhaopeng Tu, Andy Way, et al.*2017 · 293 citations* 6. **[Selective Attention for Context-aware Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/maruf-2019-selective-attention-context-aware-neural/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Sameen Maruf, André F. T. Martins, Gholamreza Haffari*2019 · 263 citations* 7. [**Evaluating Discourse Phenomena in Neural Machine Translation arXiv:1711.00513**Rachel Bawden, Rico Sennrich, Alexandra Birch, et al.*2017 · 253 citations*](https://md.research.elamur.ai/free/en/papers/bawden-2017-evaluating-discourse-phenomena-neural-machine/) 8. **[Document Context Neural Machine Translation with Memory Networks](https://md.research.elamur.ai/free/en/papers/maruf-2018-document-context-neural-machine-translation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Sameen Maruf, Gholamreza Haffari*2018 · 238 citations* 9. **[Large Language Models Effectively Leverage Document-level Context for Literary Translation, but Critical Errors Persist](https://md.research.elamur.ai/free/en/papers/karpinska-2023-large-language-models-effectively-leverage/) [Conference on Machine Translation (WMT)](https://md.research.elamur.ai/free/en/venues/wmt/)**Marzena Karpinska, Mohit Iyyer*2023 · 156 citations* 10. **[A Simple and Effective Unified Encoder for Document-Level Machine Translation](https://md.research.elamur.ai/free/en/papers/ma-2020-simple-effective-unified-encoder-document/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shuming Ma, Dongdong Zhang, Ming Zhou*2020 · 136 citations* 11. **[When and Why is Document-level Context Useful in Neural Machine Translation?](https://md.research.elamur.ai/free/en/papers/kim-2019-when-why-is-document-level/) [Workshop on Discourse in Machine Translation](https://md.research.elamur.ai/free/en/venues/workshop-on-discourse-in-machine-translation/)**Yunsu Kim, Duc Thanh Tran, Hermann Ney*2019 · 124 citations* 12. **[Better Document-Level Machine Translation with Bayes' Rule](https://md.research.elamur.ai/free/en/papers/yu-2020-better-document-level-machine-translation/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Lei Yu, Laurent Sartran, Wojciech Stokowiec, et al.*2020 · 72 citations* 13. **[Coreference and Coherence in Neural Machine Translation: A Study Using Oracle Experiments](https://md.research.elamur.ai/free/en/papers/stojanovski-2018-coreference-coherence-neural-machine-translation/) [Conference on Machine Translation: Research Papers](https://md.research.elamur.ai/free/en/venues/conference-on-machine-translation-research-papers/)**Dario Stojanovski, Alexander Fraser*2018 · 46 citations* 14. **[One Model to Learn Both: Zero Pronoun Prediction and Translation](https://md.research.elamur.ai/free/en/papers/wang-2019-one-model-learn-both-zero/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Longyue Wang, Zhaopeng Tu, Xing Wang, et al.*2019 · 41 citations* 15. **[Findings of the WMT 2020 Shared Task on Chat Translation](https://md.research.elamur.ai/free/en/papers/farajian-2020-findings-wmt-2020-shared-task/) [Conference on Machine Translation (WMT)](https://md.research.elamur.ai/free/en/venues/wmt/)**M. Amin Farajian, António V. Lopes, André F. T. Martins, et al.*2020 · 29 citations* 16. **[Assessing the Role of Context in Chat Translation Evaluation: Is Context Helpful and Under What Conditions?](https://md.research.elamur.ai/free/en/papers/agrawal-2024-assessing-role-context-chat-translation/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Sweta Agrawal, Amin Farajian, Patrick Fernandes, et al.*2024 · 8 citations* 17. **[Context-8: A Data Set for Evaluating Context Sensitivity in Machine Translation](https://md.research.elamur.ai/free/en/papers/wang-2026-context-8-data-set-evaluating/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Dongyue Wang, Kyo Kageura*2026* 18. **[Survey on Document-level Neural Machine Translation (文档级神经机器翻译综述)](https://md.research.elamur.ai/free/en/papers/lv-2024-document-level-neural/) [Journal of Software](https://md.research.elamur.ai/free/en/venues/journal-of-software/)**Xinglin Lv (吕星林), Junhui Li (李军辉), Shimin Tao (陶仕敏), et al.*2024* 69 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/jean-2017-neural-machine-translation-benefit-larger/) — Does Neural Machine Translation Benefit from Larger Context?