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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

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  1. Training Tips for the Transformer ModelMartin Popel, Ondřej Bojar2018 · 369 citations
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  17. An Empirical Comparison of Domain Adaptation Methods for Neural Machine TranslationChenhui Chu, Raj Dabre, Sadao Kurohashi2017 · 316 citations
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  23. Bridging the Gap between Training and Inference for Neural Machine TranslationWen Zhang, Yang Feng, Fandong Meng, et al.2019 · 298 citations
  24. Copied Monolingual Data Improves Low-Resource Neural Machine TranslationAnna Currey, Antonio Valerio Miceli Barone, Kenneth Heafield2017 · 296 citations
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  26. FlauBERT: Unsupervised Language Model Pre-training for FrenchHang Le, Loïc Vial, Jibril Frej, et al.2019 · 293 citations
  27. Learning to Translate in Real-time with Neural Machine TranslationJiatao Gu, Graham Neubig, Kyunghyun Cho, et al.2017 · 286 citations
  28. Transfer Learning across Low-Resource, Related Languages for Neural Machine TranslationToan Q. Nguyen, David Chiang2017 · 285 citations
  29. BAM! Born-Again Multi-Task Networks for Natural Language UnderstandingKevin Clark, Minh-Thang Luong, Urvashi Khandelwal, et al.2019 · 279 citations
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  36. Monotonic Infinite Lookback Attention for Simultaneous Machine TranslationNaveen Arivazhagan, Colin Cherry, Wolfgang Macherey, et al.2019 · 259 citations
  37. MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training StrategiesShengding Hu, Yuge Tu, Xu Han, et al.2024 · 258 citations
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  41. Evaluating Discourse Phenomena in Neural Machine TranslationRachel Bawden, Rico Sennrich, Alexandra Birch, et al.2017 · 252 citations
  42. Tied Multitask Learning for Neural Speech TranslationAntonios Anastasopoulos, David Chiang2018 · 250 citations
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  45. Pretrained Language Models for Biomedical and Clinical Tasks: Understanding and Extending the State-of-the-ArtPatrick Lewis, Myle Ott, Jingfei Du, et al.2020 · 240 citations
  46. Document Context Neural Machine Translation with Memory NetworksSameen Maruf, Gholamreza Haffari2018 · 236 citations
  47. OpenSubtitles2018: Statistical Rescoring of Sentence Alignments in Large, Noisy Parallel CorporaPierre Lison, Jörg Tiedemann, Milen Kouylekov2018 · 235 citations
  48. Politeness Transfer: A Tag and Generate ApproachAman Madaan, Amrith Setlur, Tanmay Parekh, et al.2020 · 234 citations
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  50. Classical Structured Prediction Losses for Sequence to Sequence LearningSergey Edunov, Myle Ott, Michael Auli, et al.2018 · 232 citations
  51. Detecting Hallucinated Content in Conditional Neural Sequence GenerationChunting Zhou, Graham Neubig, Jiatao Gu, et al.2021 · 229 citations
  52. The University of Edinburgh's Neural MT Systems for WMT17Rico Sennrich, Alexandra Birch, Anna Currey, et al.2017 · 227 citations
  53. The Bottom-up Evolution of Representations in the Transformer: A Study with Machine Translation and Language Modeling ObjectivesElena Voita, Rico Sennrich, Ivan Titov2019 · 222 citations
  54. Beyond BLEU: Training Neural Machine Translation with Semantic SimilarityJohn Wieting, Taylor Berg-Kirkpatrick, Kevin Gimpel, et al.2019 · 220 citations
  55. Towards String-To-Tree Neural Machine TranslationRoee Aharoni, Yoav Goldberg2017 · 220 citations
  56. Jais and Jais-chat: Arabic-Centric Foundation and Instruction-Tuned Open Generative Large Language ModelsNeha Sengupta, Sunil Kumar Sahu, Bokang Jia, et al.2023 · 217 citations
  57. Learning to Parse and Translate Improves Neural Machine TranslationAkiko Eriguchi, Yoshimasa Tsuruoka, Kyunghyun Cho2017 · 214 citations
  58. Why Does Surprisal From Larger Transformer-Based Language Models Provide a Poorer Fit to Human Reading Times?Byung-Doh Oh, William Schuler2023 · 211 citations
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  60. On Exposure Bias, Hallucination and Domain Shift in Neural Machine TranslationChaojun Wang, Rico Sennrich2020 · 204 citations
  61. Aya Dataset: An Open-Access Collection for Multilingual Instruction TuningShivalika Singh, Freddie Vargus, Daniel D'souza, et al.2024 · 202 citations
  62. AraT5: Text-to-Text Transformers for Arabic Language GenerationEl Moatez Billah Nagoudi, AbdelRahim Elmadany, Muhammad Abdul-Mageed2022 · 201 citations
  63. IndicTrans2: Towards High-Quality and Accessible Machine Translation Models for all 22 Scheduled Indian LanguagesJay Gala, Pranjal A. Chitale, Raghavan AK, et al.2023 · 200 citations
  64. Jointly Learning to Align and Translate with Transformer ModelsSarthak Garg, Stephan Peitz, Udhyakumar Nallasamy, et al.2019 · 199 citations
  65. On NMT Search Errors and Model Errors: Cat Got Your Tongue?Felix Stahlberg, Bill Byrne2019 · 197 citations
  66. COCO-LM: Correcting and Contrasting Text Sequences for Language Model PretrainingYu Meng, Chenyan Xiong, Payal Bajaj, et al.2021 · 196 citations
  67. Reducing Gender Bias in Neural Machine Translation as a Domain Adaptation ProblemDanielle Saunders, Bill Byrne2020 · 196 citations
  68. Analyzing Uncertainty in Neural Machine TranslationMyle Ott, Michael Auli, David Grangier, et al.2018 · 190 citations
  69. Graph Convolutional Encoders for Syntax-aware Neural Machine TranslationJasmijn Bastings, Ivan Titov, Wilker Aziz, et al.2017 · 190 citations
  70. On the Impact of Various Types of Noise on Neural Machine TranslationHuda Khayrallah, Philipp Koehn2018 · 188 citations
  71. Improving Word Sense Disambiguation in Neural Machine Translation with Sense EmbeddingsAnnette Rios Gonzales, Laura Mascarell, Rico Sennrich2017 · 185 citations
  72. Investigating Backtranslation in Neural Machine TranslationAlberto Poncelas, Dimitar Shterionov, Andy Way, et al.2018 · 184 citations
  73. SeamlessM4T: Massively Multilingual & Multimodal Machine TranslationSeamless Communication, Loic Barrault, Yu-An Chung, et al.2023 · 183 citations
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  93. Effective Domain Mixing for Neural Machine TranslationDenny Britz, Quoc Le, Reid Pryzant2017 · 155 citations
  94. Pre-Training BERT on Arabic Tweets: Practical ConsiderationsAhmed Abdelali, Sabit Hassan, Hamdy Mubarak, et al.2021 · 150 citations
  95. Language Model Tokenizers Introduce Unfairness Between LanguagesAleksandar Petrov, Emanuele La Malfa, Philip H. S. Torr, et al.2023 · 149 citations
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  97. Looking for a Needle in a Haystack: A Comprehensive Study of Hallucinations in Neural Machine TranslationNuno M. Guerreiro, Elena Voita, André Martins2023 · 147 citations
  98. How Grammatical is Character-level Neural Machine Translation? Assessing MT Quality with Contrastive Translation PairsRico Sennrich2017 · 147 citations
  99. How does GPT-2 compute greater-than?: Interpreting mathematical abilities in a pre-trained language modelMichael Hanna, Ollie Liu, Alexandre Variengien2023 · 140 citations
  100. On The Evaluation of Machine Translation Systems Trained With Back-TranslationSergey Edunov, Myle Ott, Marc'Aurelio Ranzato, et al.2020 · 139 citations

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