--- title: "Who cites Semi-Supervised Learning for — 76 citing papers" description: "76 papers of the Elamur Research library cite «Semi-Supervised Learning for Neural Machine Translation», found in their bibliographies; the…" canonical: "https://research.elamur.ai/free/en/papers/cheng-2016-semi-supervised-learning-neural-machine/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/cheng-2016-semi-supervised-learning-neural-machine/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Semi-Supervised Learning for Neural Machine…](https://md.research.elamur.ai/free/en/papers/cheng-2016-semi-supervised-learning-neural-machine/) / cited by # Who cites «Semi-Supervised Learning for Neural Machine Translation» 76 papers of our library cite it (of the 141,840 whose bibliographies we read) · 14 with a page here, the most cited first · [← back to «Semi-Supervised Learning for Neural Machine Translation»](https://md.research.elamur.ai/free/en/papers/cheng-2016-semi-supervised-learning-neural-machine/) 1. [**Unsupervised Machine Translation Using Monolingual Corpora Only arXiv:1711.00043**Guillaume Lample, Alexis Conneau, Ludovic Denoyer, et al.*2017 · 653 citations*](https://md.research.elamur.ai/free/en/papers/lample-2017-unsupervised-machine-translation-using-monolingual/) **[When and Why Are Pre-Trained Word Embeddings Useful for Neural Machine Translation?](https://md.research.elamur.ai/free/en/papers/qi-2018-when-why-are-pre-trained/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Ye Qi, Devendra Sachan, Matthieu Felix, et al.*2018 · 468 citations* **[Exploiting Source-side Monolingual Data in Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/zhang-2016-exploiting-source-side-monolingual-data/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jiajun Zhang, Chengqing Zong*2016 · 409 citations* **[Robust Neural Machine Translation with Doubly Adversarial Inputs](https://md.research.elamur.ai/free/en/papers/cheng-2019-robust-neural-machine-translation-doubly/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yong Cheng, Lu Jiang, Wolfgang Macherey*2019 · 324 citations* **[Unsupervised Pretraining for Sequence to Sequence Learning](https://md.research.elamur.ai/free/en/papers/ramachandran-2017-unsupervised-pretraining-sequence-sequence-learning/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Prajit Ramachandran, Peter Liu, Quoc Le*2017 · 318 citations* **[A Survey of Domain Adaptation for Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/chu-2018-survey-domain-adaptation-neural-machine/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Chenhui Chu, Rui Wang*2018 · 306 citations* **[Copied Monolingual Data Improves Low-Resource Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/currey-2017-copied-monolingual-data-improves-low/) [Conference on Machine Translation (WMT)](https://md.research.elamur.ai/free/en/venues/wmt/)**Anna Currey, Antonio Valerio Miceli Barone, Kenneth Heafield*2017 · 297 citations* **[An Empirical Survey of Data Augmentation for Limited Data Learning in NLP](https://md.research.elamur.ai/free/en/papers/chen-2023-empirical-survey-data-augmentation-limited/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Jiaao Chen, Derek Tam, Colin Raffel, et al.*2023 · 253 citations* **[Survey of Low-Resource Machine Translation](https://md.research.elamur.ai/free/en/papers/haddow-2022-survey-low-resource-machine-translation/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Barry Haddow, Rachel Bawden, Antonio Valerio Miceli Barone, et al.*2022 · 251 citations* **[Towards Robust Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/cheng-2018-robust-neural-machine-translation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yong Cheng, Zhaopeng Tu, Fandong Meng, et al.*2018 · 237 citations* **[A Study of Reinforcement Learning for Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/wu-2018-study-reinforcement-learning-neural-machine/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Lijun Wu, Fei Tian, Tao Qin, et al.*2018 · 234 citations* **[Soft Contextual Data Augmentation for Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/gao-2019-soft-contextual-data-augmentation-neural/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Fei Gao, Jinhua Zhu, Lijun Wu, et al.*2019 · 172 citations* **[Exploiting Monolingual Data at Scale for Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/wu-2019-exploiting-monolingual-data-scale-neural/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Lijun Wu, Yiren Wang, Yingce Xia, et al.*2019 · 102 citations* [**Handling Syntactic Divergence in Low-resource Machine Translation**Chunting Zhou, Xuezhe Ma, Junjie Hu, et al.*2019 · 33 citations*](https://md.research.elamur.ai/free/en/papers/zhou-2019-handling-syntactic-divergence-low-resource/) 62 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/cheng-2016-semi-supervised-learning-neural-machine/) — Semi-Supervised Learning for Neural Machine Translation