---
title: "Who cites Neural Machine Translation of Rare Words with…"
description: "3,409 papers of the Elamur Research library cite «Neural Machine Translation of Rare Words with Subword Units», found in their bibliographies · page 2 of…"
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# Who cites «Neural Machine Translation of Rare Words with Subword Units»

3,409 papers of our library cite it (of the 140,884 whose bibliographies we read) · 304 with a page here, the most cited first · page 2 of 4 · 101–200 · [← the paper](https://md.research.elamur.ai/free/en/papers/sennrich-2016-neural-machine-translation-rare-words/)

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104. [**Universal Neural Machine Translation for Extremely Low Resource Languages**Jiatao Gu, Hany Hassan, Jacob Devlin, et al.*2018 · 356 citations*](https://md.research.elamur.ai/free/en/papers/gu-2018-universal-neural-machine-translation-extremely/)
105. [**Edinburgh Neural Machine Translation Systems for WMT 16**Rico Sennrich, Barry Haddow, Alexandra Birch*2016 · 355 citations*](https://md.research.elamur.ai/free/en/papers/sennrich-2016-edinburgh-neural-machine-translation-systems/)
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115. [**Paraphrasing Revisited with Neural Machine Translation**Jonathan Mallinson, Rico Sennrich, Mirella Lapata*2017 · 319 citations*](https://md.research.elamur.ai/free/en/papers/mallinson-2017-paraphrasing-revisited-neural-machine-translation/)
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123. [**Bridging the Gap between Training and Inference for Neural Machine Translation**Wen Zhang, Yang Feng, Fandong Meng, et al.*2019 · 298 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2019-bridging-gap-between-training-inference/)
124. [**Copied Monolingual Data Improves Low-Resource Neural Machine Translation**Anna Currey, Antonio Valerio Miceli Barone, Kenneth Heafield*2017 · 296 citations*](https://md.research.elamur.ai/free/en/papers/currey-2017-copied-monolingual-data-improves-low/)
125. [**Learning Joint Multilingual Sentence Representations with Neural Machine Translation**Holger Schwenk, Matthijs Douze*2017 · 295 citations*](https://md.research.elamur.ai/free/en/papers/schwenk-2017-learning-joint-multilingual-sentence-representations/)
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128. [**Transfer Learning across Low-Resource, Related Languages for Neural Machine Translation**Toan Q. Nguyen, David Chiang*2017 · 285 citations*](https://md.research.elamur.ai/free/en/papers/nguyen-2017-transfer-learning-across-low-resource/)
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132. [**Attention is Not Only a Weight: Analyzing Transformers with Vector Norms**Goro Kobayashi, Tatsuki Kuribayashi, Sho Yokoi, et al.*2020 · 268 citations*](https://md.research.elamur.ai/free/en/papers/kobayashi-2020-attention-is-not-only-weight/)
133. [**Selective Attention for Context-aware Neural Machine Translation**Sameen Maruf, André F. T. Martins, Gholamreza Haffari*2019 · 263 citations*](https://md.research.elamur.ai/free/en/papers/maruf-2019-selective-attention-context-aware-neural/)
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136. [**Monotonic Infinite Lookback Attention for Simultaneous Machine Translation**Naveen Arivazhagan, Colin Cherry, Wolfgang Macherey, et al.*2019 · 259 citations*](https://md.research.elamur.ai/free/en/papers/arivazhagan-2019-monotonic-infinite-lookback-attention-simultaneous/)
137. [**MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies**Shengding Hu, Yuge Tu, Xu Han, et al.*2024 · 258 citations*](https://md.research.elamur.ai/free/en/papers/hu-2024-minicpm-unveiling-potential-small-language/)
138. [**Contrastive Learning for Many-to-many Multilingual Neural Machine Translation**Xiao Pan, Mingxuan Wang, Liwei Wu, et al.*2021 · 256 citations*](https://md.research.elamur.ai/free/en/papers/pan-2021-contrastive-learning-many-many-multilingual/)
139. [**Multilingual is not enough: BERT for Finnish**Antti Virtanen, Jenna Kanerva, Rami Ilo, et al.*2019 · 256 citations*](https://md.research.elamur.ai/free/en/papers/virtanen-2019-multilingual-enough-bert-finnish/)
140. [**BPEmb: Tokenization-free Pre-trained Subword Embeddings in 275 Languages**Benjamin Heinzerling, Michael Strube*2018 · 256 citations*](https://md.research.elamur.ai/free/en/papers/heinzerling-2018-bpemb-tokenization-free-pre-trained/)
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142. [**Tied Multitask Learning for Neural Speech Translation**Antonios Anastasopoulos, David Chiang*2018 · 250 citations*](https://md.research.elamur.ai/free/en/papers/anastasopoulos-2018-tied-multitask-learning-neural-speech/)
143. [**Perturbed Masking: Parameter-free Probing for Analyzing and Interpreting BERT**Zhiyong Wu, Yun Chen, Ben Kao, et al.*2020 · 244 citations*](https://md.research.elamur.ai/free/en/papers/wu-2020-perturbed-masking-parameter-free-probing/)
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145. [**Pretrained Language Models for Biomedical and Clinical Tasks: Understanding and Extending the State-of-the-Art**Patrick Lewis, Myle Ott, Jingfei Du, et al.*2020 · 240 citations*](https://md.research.elamur.ai/free/en/papers/lewis-2020-pretrained-language-models-biomedical-clinical/)
146. [**Document Context Neural Machine Translation with Memory Networks**Sameen Maruf, Gholamreza Haffari*2018 · 236 citations*](https://md.research.elamur.ai/free/en/papers/maruf-2018-document-context-neural-machine-translation/)
147. [**OpenSubtitles2018: Statistical Rescoring of Sentence Alignments in Large, Noisy Parallel Corpora**Pierre Lison, Jörg Tiedemann, Milen Kouylekov*2018 · 235 citations*](https://md.research.elamur.ai/free/en/papers/lison-2018-opensubtitles2018-statistical-rescoring-sentence-alignments/)
148. [**Politeness Transfer: A Tag and Generate Approach**Aman Madaan, Amrith Setlur, Tanmay Parekh, et al.*2020 · 234 citations*](https://md.research.elamur.ai/free/en/papers/madaan-2020-politeness-transfer-tag-generate-approach/)
149. [**A Study of Reinforcement Learning for Neural Machine Translation**Lijun Wu, Fei Tian, Tao Qin, et al.*2018 · 232 citations*](https://md.research.elamur.ai/free/en/papers/wu-2018-study-reinforcement-learning-neural-machine/)
150. [**Classical Structured Prediction Losses for Sequence to Sequence Learning**Sergey Edunov, Myle Ott, Michael Auli, et al.*2018 · 232 citations*](https://md.research.elamur.ai/free/en/papers/edunov-2018-classical-structured-prediction-losses-sequence/)
151. [**Detecting Hallucinated Content in Conditional Neural Sequence Generation**Chunting Zhou, Graham Neubig, Jiatao Gu, et al.*2021 · 229 citations*](https://md.research.elamur.ai/free/en/papers/zhou-2021-detecting-hallucinated-content-conditional-neural/)
152. [**The University of Edinburgh's Neural MT Systems for WMT17**Rico Sennrich, Alexandra Birch, Anna Currey, et al.*2017 · 227 citations*](https://md.research.elamur.ai/free/en/papers/sennrich-2017-university-edinburgh-s-neural-mt/)
153. [**The Bottom-up Evolution of Representations in the Transformer: A Study with Machine Translation and Language Modeling Objectives**Elena Voita, Rico Sennrich, Ivan Titov*2019 · 222 citations*](https://md.research.elamur.ai/free/en/papers/voita-2019-bottom-up-evolution-representations-transformer/)
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155. [**Towards String-To-Tree Neural Machine Translation**Roee Aharoni, Yoav Goldberg*2017 · 220 citations*](https://md.research.elamur.ai/free/en/papers/aharoni-2017-string-tree-neural-machine-translation/)
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160. [**On Exposure Bias, Hallucination and Domain Shift in Neural Machine Translation**Chaojun Wang, Rico Sennrich*2020 · 204 citations*](https://md.research.elamur.ai/free/en/papers/wang-2020-exposure-bias-hallucination-domain-shift/)
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165. [**On NMT Search Errors and Model Errors: Cat Got Your Tongue?**Felix Stahlberg, Bill Byrne*2019 · 197 citations*](https://md.research.elamur.ai/free/en/papers/stahlberg-2019-nmt-search-errors-model-errors/)
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167. [**Reducing Gender Bias in Neural Machine Translation as a Domain Adaptation Problem**Danielle Saunders, Bill Byrne*2020 · 196 citations*](https://md.research.elamur.ai/free/en/papers/saunders-2020-reducing-gender-bias-neural-machine/)
168. [**Analyzing Uncertainty in Neural Machine Translation**Myle Ott, Michael Auli, David Grangier, et al.*2018 · 190 citations*](https://md.research.elamur.ai/free/en/papers/ott-2018-analyzing-uncertainty-neural-machine-translation/)
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171. [**Improving Word Sense Disambiguation in Neural Machine Translation with Sense Embeddings**Annette Rios Gonzales, Laura Mascarell, Rico Sennrich*2017 · 185 citations*](https://md.research.elamur.ai/free/en/papers/gonzales-2017-improving-word-sense-disambiguation-neural/)
172. [**Investigating Backtranslation in Neural Machine Translation**Alberto Poncelas, Dimitar Shterionov, Andy Way, et al.*2018 · 184 citations*](https://md.research.elamur.ai/free/en/papers/poncelas-2018-investigating-backtranslation-neural-machine-translation/)
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177. [**A neural interlingua for multilingual machine translation**Yichao Lu, Phillip Keung, Faisal Ladhak, et al.*2018 · 178 citations*](https://md.research.elamur.ai/free/en/papers/lu-2018-neural-interlingua-multilingual-machine-translation/)
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190. [**Semantic Neural Machine Translation Using AMR**Linfeng Song, Daniel Gildea, Yue Zhang, et al.*2019 · 159 citations*](https://md.research.elamur.ai/free/en/papers/song-2019-semantic-neural-machine-translation-amr/)
191. [**Canine: Pre-training an Efficient Tokenization-Free Encoder for Language Representation**Jonathan H. Clark, Dan Garrette, Iulia Turc, et al.*2022 · 156 citations*](https://md.research.elamur.ai/free/en/papers/clark-2022-canine-pre-training-efficient-tokenization/)
192. [**Unsupervised Translation of Programming Languages**Marie-Anne Lachaux, Baptiste Roziere, Lowik Chanussot, et al.*2020 · 156 citations*](https://md.research.elamur.ai/free/en/papers/lachaux-2020-unsupervised-translation-programming-languages/)
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