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2020 – today
- 2024
[c120]Zifan Jiang, Anne Göhring, Amit Moryossef, Rico Sennrich, Sarah Ebling:
SwissSLi: The Multi-parallel Sign Language Corpus for Switzerland. LREC/COLING 2024: 15448-15456- [c119]Rico Sennrich, Jannis Vamvas, Alireza Mohammadshahi:
Mitigating Hallucinations and Off-target Machine Translation with Source-Contrastive and Language-Contrastive Decoding. EACL (2) 2024: 21-33 - [c118]Guojun Wu, Shay B. Cohen, Rico Sennrich:
Evaluating Automatic Metrics with Incremental Machine Translation Systems. EMNLP (Findings) 2024: 2994-3005 - [c117]Zifan Jiang, Gerard Sant, Amit Moryossef, Mathias Müller, Rico Sennrich, Sarah Ebling:
SignCLIP: Connecting Text and Sign Language by Contrastive Learning. EMNLP 2024: 9171-9193 - [c116]Tannon Kew, Florian Schottmann, Rico Sennrich:
Turning English-centric LLMs Into Polyglots: How Much Multilinguality Is Needed? EMNLP (Findings) 2024: 13097-13124 - [i82]Michelle Wastl, Jannis Vamvas, Rico Sennrich:
Machine Translation Models are Zero-Shot Detectors of Translation Direction. CoRR abs/2401.06769 (2024) - [i81]Jannis Vamvas, Noëmi Aepli, Rico Sennrich:
Modular Adaptation of Multilingual Encoders to Written Swiss German Dialect. CoRR abs/2401.14400 (2024) - [i80]Nikita Moghe, Arnisa Fazla, Chantal Amrhein, Tom Kocmi, Mark Steedman, Alexandra Birch, Rico Sennrich, Liane Guillou:
Machine Translation Meta Evaluation through Translation Accuracy Challenge Sets. CoRR abs/2401.16313 (2024) - [i79]Jannis Vamvas, Rico Sennrich:
Linear-time Minimum Bayes Risk Decoding with Reference Aggregation. CoRR abs/2402.04251 (2024) - [i78]Marco Cognetta, Tatsuya Hiraoka, Naoaki Okazaki, Rico Sennrich, Yuval Pinter:
An Analysis of BPE Vocabulary Trimming in Neural Machine Translation. CoRR abs/2404.00397 (2024) - [i77]Zifan Jiang, Gerard Sant, Amit Moryossef, Mathias Müller, Rico Sennrich, Sarah Ebling:
SignCLIP: Connecting Text and Sign Language by Contrastive Learning. CoRR abs/2407.01264 (2024) - [i76]Guojun Wu, Shay B. Cohen, Rico Sennrich:
Evaluating Automatic Metrics with Incremental Machine Translation Systems. CoRR abs/2407.03277 (2024) - 2023
- [c115]Farhad Nooralahzadeh, Rico Sennrich
:
Improving the Cross-Lingual Generalisation in Visual Question Answering. AAAI 2023: 13419-13427 - [c114]Chantal Amrhein, Florian Schottmann, Rico Sennrich, Samuel Läubli:
Exploiting Biased Models to De-bias Text: A Gender-Fair Rewriting Model. ACL (1) 2023: 4486-4506 - [c113]Tannon Kew, Rico Sennrich:
Uncovering Hidden Consequences of Pre-training Objectives in Sequence-to-Sequence Models. ACL (Findings) 2023: 7010-7022 - [c112]Simone Tedeschi, Johan Bos, Thierry Declerck, Jan Hajic, Daniel Hershcovich, Eduard H. Hovy, Alexander Koller, Simon Krek, Steven Schockaert, Rico Sennrich, Ekaterina Shutova, Roberto Navigli:
What's the Meaning of Superhuman Performance in Today's NLU? ACL (1) 2023: 12471-12491 - [c111]Biao Zhang, Barry Haddow, Rico Sennrich:
Efficient CTC Regularization via Coarse Labels for End-to-End Speech Translation. EACL 2023: 2256-2268 - [c110]Sukanta Sen, Rico Sennrich, Biao Zhang, Barry Haddow:
Self-training Reduces Flicker in Retranslation-based Simultaneous Translation. EACL 2023: 3716-3726 - [c109]Jannis Vamvas, Rico Sennrich:
Towards Unsupervised Recognition of Token-level Semantic Differences in Related Documents. EMNLP 2023: 13543-13552 - [c108]Biao Zhang, Mathias Müller, Rico Sennrich:
SLTUNET: A Simple Unified Model for Sign Language Translation. ICLR 2023 - [c107]Jason Armitage, Leonardo Impett, Rico Sennrich:
A Priority Map for Vision-and-Language Navigation with Trajectory Plans and Feature-Location Cues. WACV 2023: 1094-1103 - [c106]Jannis Vamvas, Tobias Domhan, Sony Trenous, Rico Sennrich, Eva Hasler:
Trained MT Metrics Learn to Cope with Machine-translated References. WMT 2023: 983-995 - [c105]Noëmi Aepli, Chantal Amrhein, Florian Schottmann, Rico Sennrich:
A Benchmark for Evaluating Machine Translation Metrics on Dialects without Standard Orthography. WMT 2023: 1045-1065 - [i75]Biao Zhang, Barry Haddow, Rico Sennrich:
Efficient CTC Regularization via Coarse Labels for End-to-End Speech Translation. CoRR abs/2302.10871 (2023) - [i74]Jannis Vamvas, Johannes Graën, Rico Sennrich:
SwissBERT: The Multilingual Language Model for Switzerland. CoRR abs/2303.13310 (2023) - [i73]Biao Zhang, Mathias Müller, Rico Sennrich:
SLTUNET: A Simple Unified Model for Sign Language Translation. CoRR abs/2305.01778 (2023) - [i72]Simone Tedeschi, Johan Bos, Thierry Declerck, Jan Hajic, Daniel Hershcovich, Eduard H. Hovy, Alexander Koller, Simon Krek, Steven Schockaert, Rico Sennrich, Ekaterina Shutova, Roberto Navigli:
What's the Meaning of Superhuman Performance in Today's NLU? CoRR abs/2305.08414 (2023) - [i71]Chantal Amrhein, Florian Schottmann, Rico Sennrich, Samuel Läubli:
Exploiting Biased Models to De-bias Text: A Gender-Fair Rewriting Model. CoRR abs/2305.11140 (2023) - [i70]Jannis Vamvas, Rico Sennrich:
Towards Unsupervised Recognition of Semantic Differences in Related Documents. CoRR abs/2305.13303 (2023) - [i69]Joris Baan, Nico Daheim, Evgenia Ilia, Dennis Ulmer, Haau-Sing Li, Raquel Fernández, Barbara Plank, Rico Sennrich, Chrysoula Zerva, Wilker Aziz:
Uncertainty in Natural Language Generation: From Theory to Applications. CoRR abs/2307.15703 (2023) - [i68]Rico Sennrich, Jannis Vamvas, Alireza Mohammadshahi:
Mitigating Hallucinations and Off-target Machine Translation with Source-Contrastive and Language-Contrastive Decoding. CoRR abs/2309.07098 (2023) - [i67]Alireza Mohammadshahi, Jannis Vamvas, Rico Sennrich:
Investigating Multi-Pivot Ensembling with Massively Multilingual Machine Translation Models. CoRR abs/2311.07439 (2023) - [i66]Noëmi Aepli, Chantal Amrhein, Florian Schottmann, Rico Sennrich:
A Benchmark for Evaluating Machine Translation Metrics on Dialects Without Standard Orthography. CoRR abs/2311.16865 (2023) - [i65]Jannis Vamvas, Tobias Domhan, Sony Trenous, Rico Sennrich, Eva Hasler:
Trained MT Metrics Learn to Cope with Machine-translated References. CoRR abs/2312.00536 (2023) - [i64]Tannon Kew, Florian Schottmann, Rico Sennrich:
Turning English-centric LLMs Into Polyglots: How Much Multilinguality Is Needed? CoRR abs/2312.12683 (2023) - 2022
- [c104]Jannis Vamvas, Rico Sennrich:
As Little as Possible, as Much as Necessary: Detecting Over- and Undertranslations with Contrastive Conditioning. ACL (2) 2022: 490-500 - [c103]Noëmi Aepli, Rico Sennrich:
Improving Zero-Shot Cross-lingual Transfer Between Closely Related Languages by Injecting Character-Level Noise. ACL (Findings) 2022: 4074-4083 - [c102]Jannis Vamvas, Rico Sennrich:
NMTScore: A Multilingual Analysis of Translation-based Text Similarity Measures. EMNLP (Findings) 2022: 198-213 - [c101]Biao Zhang, Barry Haddow, Rico Sennrich:
Revisiting End-to-End Speech-to-Text Translation From Scratch. ICML 2022: 26193-26205 - [c100]Chantal Amrhein, Rico Sennrich:
Identifying Weaknesses in Machine Translation Metrics Through Minimum Bayes Risk Decoding: A Case Study for COMET. AACL/IJCNLP (1) 2022: 1125-1141 - [c99]Yuchen Jiang, Tianyu Liu, Shuming Ma, Dongdong Zhang, Jian Yang, Haoyang Huang, Rico Sennrich, Ryan Cotterell, Mrinmaya Sachan, Ming Zhou:
BlonDe: An Automatic Evaluation Metric for Document-level Machine Translation. NAACL-HLT 2022: 1550-1565 - [c98]Antonio Valerio Miceli Barone, Alexandra Birch, Rico Sennrich:
Distributionally Robust Recurrent Decoders with Random Network Distillation. RepL4NLP@ACL 2022: 1-8 - [i63]Chantal Amrhein, Rico Sennrich:
Identifying Weaknesses in Machine Translation Metrics Through Minimum Bayes Risk Decoding: A Case Study for COMET. CoRR abs/2202.05148 (2022) - [i62]Jannis Vamvas, Rico Sennrich:
As Little as Possible, as Much as Necessary: Detecting Over- and Undertranslations with Contrastive Conditioning. CoRR abs/2203.01927 (2022) - [i61]Jannis Vamvas, Rico Sennrich:
NMTScore: A Multilingual Analysis of Translation-based Text Similarity Measures. CoRR abs/2204.13692 (2022) - [i60]Genta Indra Winata, Alham Fikri Aji, Samuel Cahyawijaya, Rahmad Mahendra, Fajri Koto, Ade Romadhony, Kemal Kurniawan, David Moeljadi, Radityo Eko Prasojo, Pascale Fung, Timothy Baldwin, Jey Han Lau, Rico Sennrich, Sebastian Ruder:
NusaX: Multilingual Parallel Sentiment Dataset for 10 Indonesian Local Languages. CoRR abs/2205.15960 (2022) - [i59]Biao Zhang, Barry Haddow, Rico Sennrich:
Revisiting End-to-End Speech-to-Text Translation From Scratch. CoRR abs/2206.04571 (2022) - [i58]Jason Armitage, Leonardo Impett, Rico Sennrich:
A Priority Map for Vision-and-Language Navigation with Trajectory Plans and Feature-Location Cues. CoRR abs/2207.11717 (2022) - [i57]Farhad Nooralahzadeh, Rico Sennrich:
Improving the Cross-Lingual Generalisation in Visual Question Answering. CoRR abs/2209.02982 (2022) - 2021
- [j6]Gongbo Tang, Philipp Rönchen, Rico Sennrich, Joakim Nivre:
Revisiting Negation in Neural Machine Translation. Trans. Assoc. Comput. Linguistics 9: 70-755 (2021) - [c97]Mathias Müller, Rico Sennrich:
Understanding the Properties of Minimum Bayes Risk Decoding in Neural Machine Translation. ACL/IJCNLP (1) 2021: 259-272 - [c96]Elena Voita, Rico Sennrich, Ivan Titov:
Analyzing the Source and Target Contributions to Predictions in Neural Machine Translation. ACL/IJCNLP (1) 2021: 1126-1140 - [c95]Biao Zhang, Ivan Titov, Barry Haddow, Rico Sennrich:
Beyond Sentence-Level End-to-End Speech Translation: Context Helps. ACL/IJCNLP (1) 2021: 2566-2578 - [c94]Biao Zhang, Ivan Titov, Rico Sennrich:
On Sparsifying Encoder Outputs in Sequence-to-Sequence Models. ACL/IJCNLP (Findings) 2021: 2888-2900 - [c93]Jannis Vamvas, Rico Sennrich:
On the Limits of Minimal Pairs in Contrastive Evaluation. BlackboxNLP@EMNLP 2021: 58-68 - [c92]Ondrej Bojar, Dominik Machácek, Sangeet Sagar, Otakar Smrz, Jonás Kratochvíl, Peter Polak, Ebrahim Ansari, Mohammad Mahmoudi, Rishu Kumar, Dario Franceschini, Chiara Canton, Ivan Simonini, Thai-Son Nguyen, Felix Schneider, Sebastian Stüker, Alex Waibel, Barry Haddow, Rico Sennrich, Philip Williams:
ELITR Multilingual Live Subtitling: Demo and Strategy. EACL (System Demonstrations) 2021: 271-277 - [c91]Chantal Amrhein, Rico Sennrich:
How Suitable Are Subword Segmentation Strategies for Translating Non-Concatenative Morphology? EMNLP (Findings) 2021: 689-705 - [c90]Biao Zhang, Ivan Titov, Rico Sennrich:
Sparse Attention with Linear Units. EMNLP (1) 2021: 6507-6520 - [c89]Elena Voita, Rico Sennrich, Ivan Titov:
Language Modeling, Lexical Translation, Reordering: The Training Process of NMT through the Lens of Classical SMT. EMNLP (1) 2021: 8478-8491 - [c88]Denis Emelin, Rico Sennrich:
Wino-X: Multilingual Winograd Schemas for Commonsense Reasoning and Coreference Resolution. EMNLP (1) 2021: 8517-8532 - [c87]Jiaoda Li, Duygu Ataman, Rico Sennrich:
Vision Matters When It Should: Sanity Checking Multimodal Machine Translation Models. EMNLP (1) 2021: 8556-8562 - [c86]Jannis Vamvas, Rico Sennrich:
Contrastive Conditioning for Assessing Disambiguation in MT: A Case Study of Distilled Bias. EMNLP (1) 2021: 10246-10265 - [c85]Biao Zhang, Ankur Bapna, Rico Sennrich, Orhan Firat:
Share or Not? Learning to Schedule Language-Specific Capacity for Multilingual Translation. ICLR 2021 - [c84]Biao Zhang, Rico Sennrich:
Edinburgh's End-to-End Multilingual Speech Translation System for IWSLT 2021. IWSLT 2021: 160-168 - [c83]Annette Rios, Chantal Amrhein, Noëmi Aepli, Rico Sennrich:
On Biasing Transformer Attention Towards Monotonicity. NAACL-HLT 2021: 4474-4488 - [c82]Chaojun Wang, Christian Hardmeier, Rico Sennrich:
Exploring the Importance of Source Text in Automatic Post-Editing for Context-Aware Machine Translation. NoDaLiDa 2021: 326-335 - [e2]Jinsong Su, Rico Sennrich:
Machine Translation - 17th China Conference, CCMT 2021, Xining, China, October 8-10, 2021, Revised Selected Papers. Communications in Computer and Information Science 1464, Springer 2021, ISBN 978-981-16-7511-9 [contents] - [i56]Annette Rios, Chantal Amrhein, Noëmi Aepli, Rico Sennrich:
On Biasing Transformer Attention Towards Monotonicity. CoRR abs/2104.03945 (2021) - [i55]Biao Zhang, Ivan Titov, Rico Sennrich:
Sparse Attention with Linear Units. CoRR abs/2104.07012 (2021) - [i54]Mathias Müller, Rico Sennrich:
Understanding the Properties of Minimum Bayes Risk Decoding in Neural Machine Translation. CoRR abs/2105.08504 (2021) - [i53]Gongbo Tang, Philipp Rönchen, Rico Sennrich, Joakim Nivre:
Revisiting Negation in Neural Machine Translation. CoRR abs/2107.12203 (2021) - [i52]Chantal Amrhein, Rico Sennrich:
How Suitable Are Subword Segmentation Strategies for Translating Non-Concatenative Morphology? CoRR abs/2109.01100 (2021) - [i51]Elena Voita, Rico Sennrich, Ivan Titov:
Language Modeling, Lexical Translation, Reordering: The Training Process of NMT through the Lens of Classical SMT. CoRR abs/2109.01396 (2021) - [i50]Jiaoda Li, Duygu Ataman, Rico Sennrich:
Vision Matters When It Should: Sanity Checking Multimodal Machine Translation Models. CoRR abs/2109.03415 (2021) - [i49]Noëmi Aepli, Rico Sennrich:
Improving Zero-shot Cross-lingual Transfer between Closely Related Languages by injecting Character-level Noise. CoRR abs/2109.06772 (2021) - [i48]Jannis Vamvas, Rico Sennrich:
On the Limits of Minimal Pairs in Contrastive Evaluation. CoRR abs/2109.07465 (2021) - [i47]Antonio Valerio Miceli Barone, Alexandra Birch, Rico Sennrich:
Distributionally Robust Recurrent Decoders with Random Network Distillation. CoRR abs/2110.13229 (2021) - 2020
- [j5]Samuel Läubli, Sheila Castilho, Graham Neubig, Rico Sennrich, Qinlan Shen, Antonio Toral:
A Set of Recommendations for Assessing Human-Machine Parity in Language Translation. J. Artif. Intell. Res. 67: 653-672 (2020) - [c81]Biao Zhang, Philip Williams, Ivan Titov, Rico Sennrich:
Improving Massively Multilingual Neural Machine Translation and Zero-Shot Translation. ACL 2020: 1628-1639 - [c80]Chaojun Wang, Rico Sennrich:
On Exposure Bias, Hallucination and Domain Shift in Neural Machine Translation. ACL 2020: 3544-3552 - [c79]Alham Fikri Aji, Nikolay Bogoychev, Kenneth Heafield, Rico Sennrich:
In Neural Machine Translation, What Does Transfer Learning Transfer? ACL 2020: 7701-7710 - [c78]Mathias Müller, Annette Rios, Rico Sennrich:
Domain Robustness in Neural Machine Translation. AMTA 2020: 151-164 - [c77]Gongbo Tang, Rico Sennrich, Joakim Nivre:
Understanding Pure Character-Based Neural Machine Translation: The Case of Translating Finnish into English. COLING 2020: 4251-4262 - [c76]Ondrej Bojar, Dominik Machácek, Sangeet Sagar, Otakar Smrz, Jonás Kratochvíl, Ebrahim Ansari, Dario Franceschini, Chiara Canton, Ivan Simonini, Thai-Son Nguyen, Felix Schneider, Sebastian Stüker, Alex Waibel, Barry Haddow, Rico Sennrich, Philip Williams:
ELITR: European Live Translator. EAMT 2020: 463-464 - [c75]Chantal Amrhein, Rico Sennrich:
On Romanization for Model Transfer Between Scripts in Neural Machine Translation. EMNLP (Findings) 2020: 2461-2469 - [c74]Biao Zhang, Ivan Titov, Barry Haddow, Rico Sennrich:
Adaptive Feature Selection for End-to-End Speech Translation. EMNLP (Findings) 2020: 2533-2544 - [c73]Jonathan Mallinson, Rico Sennrich, Mirella Lapata:
Zero-Shot Crosslingual Sentence Simplification. EMNLP (1) 2020: 5109-5126 - [c72]Denis Emelin, Ivan Titov, Rico Sennrich:
Detecting Word Sense Disambiguation Biases in Machine Translation for Model-Agnostic Adversarial Attacks. EMNLP (1) 2020: 7635-7653 - [c71]Dario Franceschini, Chiara Canton, Ivan Simonini, Armin Schweinfurth, Adelheid Glott, Sebastian Stüker, Thai-Son Nguyen, Felix Schneider, Thanh-Le Ha, Alex Waibel, Barry Haddow, Philip Williams, Rico Sennrich, Ondrej Bojar, Sangeet Sagar, Dominik Machácek, Otakar Smrz:
Removing European Language Barriers with Innovative Machine Translation Technology. IWLTP@LREC 2020: 44-49 - [c70]Jannis Vamvas, Rico Sennrich:
X -stance: A Multilingual Multi-Target Dataset for Stance Detection. SwissText/KONVENS 2020 - [c69]Biao Zhang, Ivan Titov, Rico Sennrich:
Fast Interleaved Bidirectional Sequence Generation. WMT@EMNLP 2020: 503-515 - [c68]Annette Rios, Mathias Müller, Rico Sennrich:
Subword Segmentation and a Single Bridge Language Affect Zero-Shot Neural Machine Translation. WMT@EMNLP 2020: 528-537 - [i46]Jannis Vamvas, Rico Sennrich:
X-Stance: A Multilingual Multi-Target Dataset for Stance Detection. CoRR abs/2003.08385 (2020) - [i45]Samuel Läubli, Sheila Castilho, Graham Neubig, Rico Sennrich, Qinlan Shen, Antonio Toral:
A Set of Recommendations for Assessing Human-Machine Parity in Language Translation. CoRR abs/2004.01694 (2020) - [i44]Biao Zhang, Ivan Titov, Rico Sennrich:
On Sparsifying Encoder Outputs in Sequence-to-Sequence Models. CoRR abs/2004.11854 (2020) - [i43]Biao Zhang, Philip Williams, Ivan Titov, Rico Sennrich:
Improving Massively Multilingual Neural Machine Translation and Zero-Shot Translation. CoRR abs/2004.11867 (2020) - [i42]Chaojun Wang, Rico Sennrich:
On Exposure Bias, Hallucination and Domain Shift in Neural Machine Translation. CoRR abs/2005.03642 (2020) - [i41]Chantal Amrhein, Rico Sennrich:
On Romanization for Model Transfer Between Scripts in Neural Machine Translation. CoRR abs/2009.14824 (2020) - [i40]Biao Zhang, Ivan Titov, Barry Haddow, Rico Sennrich:
Adaptive Feature Selection for End-to-End Speech Translation. CoRR abs/2010.08518 (2020) - [i39]Elena Voita, Rico Sennrich, Ivan Titov:
Analyzing the Source and Target Contributions to Predictions in Neural Machine Translation. CoRR abs/2010.10907 (2020) - [i38]Biao Zhang, Ivan Titov, Rico Sennrich:
Fast Interleaved Bidirectional Sequence Generation. CoRR abs/2010.14481 (2020) - [i37]Annette Rios, Mathias Müller, Rico Sennrich:
Subword Segmentation and a Single Bridge Language Affect Zero-Shot Neural Machine Translation. CoRR abs/2011.01703 (2020) - [i36]Denis Emelin, Ivan Titov, Rico Sennrich:
Detecting Word Sense Disambiguation Biases in Machine Translation for Model-Agnostic Adversarial Attacks. CoRR abs/2011.01846 (2020) - [i35]Gongbo Tang, Rico Sennrich, Joakim Nivre:
Understanding Pure Character-Based Neural Machine Translation: The Case of Translating Finnish into English. CoRR abs/2011.03469 (2020) - [i34]Samuel Läubli, Patrick Simianer, Joern Wuebker, Geza Kovacs, Rico Sennrich, Spence Green:
The Impact of Text Presentation on Translator Performance. CoRR abs/2011.05978 (2020)
2010 – 2019
- 2019
- [c67]Rico Sennrich, Biao Zhang:
Revisiting Low-Resource Neural Machine Translation: A Case Study. ACL (1) 2019: 211-221 - [c66]Elena Voita, Rico Sennrich, Ivan Titov:
When a Good Translation is Wrong in Context: Context-Aware Machine Translation Improves on Deixis, Ellipsis, and Lexical Cohesion. ACL (1) 2019: 1198-1212 - [c65]Biao Zhang, Rico Sennrich:
A Lightweight Recurrent Network for Sequence Modeling. ACL (1) 2019: 1538-1548 - [c64]Elena Voita, David Talbot, Fedor Moiseev, Rico Sennrich, Ivan Titov:
Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned. ACL (1) 2019: 5797-5808 - [c63]Elena Voita, Rico Sennrich, Ivan Titov:
Context-Aware Monolingual Repair for Neural Machine Translation. EMNLP/IJCNLP (1) 2019: 877-886 - [c62]Biao Zhang, Ivan Titov, Rico Sennrich:
Improving Deep Transformer with Depth-Scaled Initialization and Merged Attention. EMNLP/IJCNLP (1) 2019: 898-909 - [c61]Gongbo Tang, Rico Sennrich, Joakim Nivre:
Encoders Help You Disambiguate Word Senses in Neural Machine Translation. EMNLP/IJCNLP (1) 2019: 1429-1435 - [c60]Elena Voita, Rico Sennrich, Ivan Titov:
The Bottom-up Evolution of Representations in the Transformer: A Study with Machine Translation and Language Modeling Objectives. EMNLP/IJCNLP (1) 2019: 4395-4405 - [c59]Joanna Wetesko, Marcin Chochowski, Pawel Przybysz, Philip Williams, Roman Grundkiewicz, Rico Sennrich, Barry Haddow, Antonio Valerio Miceli Barone, Alexandra Birch:
Samsung and University of Edinburgh's System for the IWSLT 2019. IWSLT 2019 - [c58]Biao Zhang, Rico Sennrich:
Root Mean Square Layer Normalization. NeurIPS 2019: 12360-12371 - [c57]Gongbo Tang, Rico Sennrich, Joakim Nivre:
Understanding Neural Machine Translation by Simplification: The Case of Encoder-free Models. RANLP 2019: 1186-1193 - [c56]Denis Emelin, Ivan Titov, Rico Sennrich:
Widening the Representation Bottleneck in Neural Machine Translation with Lexical Shortcuts. WMT (1) 2019: 102-115 - [e1]