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2020 – today
- 2022
[c97]Jannis Vamvas, Rico Sennrich:
As Little as Possible, as Much as Necessary: Detecting Over- and Undertranslations with Contrastive Conditioning. ACL (2) 2022: 490-500- [c96]Noëmi Aepli, Rico Sennrich:
Improving Zero-Shot Cross-lingual Transfer Between Closely Related Languages by Injecting Character-Level Noise. ACL (Findings) 2022: 4074-4083 - [i59]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) - [i58]Jannis Vamvas, Rico Sennrich:
As Little as Possible, as Much as Necessary: Detecting Over- and Undertranslations with Contrastive Conditioning. CoRR abs/2203.01927 (2022) - [i57]Jannis Vamvas, Rico Sennrich:
NMTScore: A Multilingual Analysis of Translation-based Text Similarity Measures. CoRR abs/2204.13692 (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) - [c95]Mathias Müller, Rico Sennrich:
Understanding the Properties of Minimum Bayes Risk Decoding in Neural Machine Translation. ACL/IJCNLP (1) 2021: 259-272 - [c94]Elena Voita, Rico Sennrich, Ivan Titov:
Analyzing the Source and Target Contributions to Predictions in Neural Machine Translation. ACL/IJCNLP (1) 2021: 1126-1140 - [c93]Biao Zhang, Ivan Titov, Barry Haddow, Rico Sennrich:
Beyond Sentence-Level End-to-End Speech Translation: Context Helps. ACL/IJCNLP (1) 2021: 2566-2578 - [c92]Biao Zhang, Ivan Titov, Rico Sennrich:
On Sparsifying Encoder Outputs in Sequence-to-Sequence Models. ACL/IJCNLP (Findings) 2021: 2888-2900 - [c91]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 - [c90]Chantal Amrhein, Rico Sennrich:
How Suitable Are Subword Segmentation Strategies for Translating Non-Concatenative Morphology? EMNLP (Findings) 2021: 689-705 - [c89]Biao Zhang, Ivan Titov, Rico Sennrich:
Sparse Attention with Linear Units. EMNLP (1) 2021: 6507-6520 - [c88]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 - [c87]Denis Emelin, Rico Sennrich:
Wino-X: Multilingual Winograd Schemas for Commonsense Reasoning and Coreference Resolution. EMNLP (1) 2021: 8517-8532 - [c86]Jiaoda Li, Duygu Ataman, Rico Sennrich:
Vision Matters When It Should: Sanity Checking Multimodal Machine Translation Models. EMNLP (1) 2021: 8556-8562 - [c85]Jannis Vamvas, Rico Sennrich:
Contrastive Conditioning for Assessing Disambiguation in MT: A Case Study of Distilled Bias. EMNLP (1) 2021: 10246-10265 - [c84]Biao Zhang, Ankur Bapna, Rico Sennrich
, Orhan Firat:
Share or Not? Learning to Schedule Language-Specific Capacity for Multilingual Translation. ICLR 2021 - [c83]Biao Zhang, Rico Sennrich:
Edinburgh's End-to-End Multilingual Speech Translation System for IWSLT 2021. IWSLT 2021: 160-168 - [c82]Annette Rios, Chantal Amrhein, Noëmi Aepli, Rico Sennrich:
On Biasing Transformer Attention Towards Monotonicity. NAACL-HLT 2021: 4474-4488 - [c81]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 - [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) - [c80]Biao Zhang, Philip Williams, Ivan Titov, Rico Sennrich:
Improving Massively Multilingual Neural Machine Translation and Zero-Shot Translation. ACL 2020: 1628-1639 - [c79]Chaojun Wang, Rico Sennrich:
On Exposure Bias, Hallucination and Domain Shift in Neural Machine Translation. ACL 2020: 3544-3552 - [c78]Alham Fikri Aji, Nikolay Bogoychev, Kenneth Heafield, Rico Sennrich:
In Neural Machine Translation, What Does Transfer Learning Transfer? ACL 2020: 7701-7710 - [c77]Mathias Müller, Annette Rios, Rico Sennrich:
Domain Robustness in Neural Machine Translation. AMTA 2020: 151-164 - [c76]Gongbo Tang, Rico Sennrich, Joakim Nivre:
Understanding Pure Character-Based Neural Machine Translation: The Case of Translating Finnish into English. COLING 2020: 4251-4262 - [c75]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 - [c74]Chantal Amrhein, Rico Sennrich:
On Romanization for Model Transfer Between Scripts in Neural Machine Translation. EMNLP (Findings) 2020: 2461-2469 - [c73]Biao Zhang, Ivan Titov, Barry Haddow, Rico Sennrich:
Adaptive Feature Selection for End-to-End Speech Translation. EMNLP (Findings) 2020: 2533-2544 - [c72]Jonathan Mallinson, Rico Sennrich, Mirella Lapata:
Zero-Shot Crosslingual Sentence Simplification. EMNLP (1) 2020: 5109-5126 - [c71]Denis Emelin, Ivan Titov, Rico Sennrich:
Detecting Word Sense Disambiguation Biases in Machine Translation for Model-Agnostic Adversarial Attacks. EMNLP (1) 2020: 7635-7653 - [c70]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 - [c69]Jannis Vamvas, Rico Sennrich:
X -stance: A Multilingual Multi-Target Dataset for Stance Detection. SwissText/KONVENS 2020 - [c68]Biao Zhang, Ivan Titov, Rico Sennrich:
Fast Interleaved Bidirectional Sequence Generation. WMT@EMNLP 2020: 503-515 - [c67]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
- [c66]Rico Sennrich, Biao Zhang:
Revisiting Low-Resource Neural Machine Translation: A Case Study. ACL (1) 2019: 211-221 - [c65]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 - [c64]Biao Zhang, Rico Sennrich:
A Lightweight Recurrent Network for Sequence Modeling. ACL (1) 2019: 1538-1548 - [c63]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 - [c62]Elena Voita, Rico Sennrich, Ivan Titov:
Context-Aware Monolingual Repair for Neural Machine Translation. EMNLP/IJCNLP (1) 2019: 877-886 - [c61]Biao Zhang, Ivan Titov, Rico Sennrich:
Improving Deep Transformer with Depth-Scaled Initialization and Merged Attention. EMNLP/IJCNLP (1) 2019: 898-909 - [c60]Gongbo Tang, Rico Sennrich, Joakim Nivre:
Encoders Help You Disambiguate Word Senses in Neural Machine Translation. EMNLP/IJCNLP (1) 2019: 1429-1435 - [c59]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 - [c58]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 - [c57]Biao Zhang, Rico Sennrich:
Root Mean Square Layer Normalization. NeurIPS 2019: 12360-12371 - [c56]Gongbo Tang, Rico Sennrich, Joakim Nivre:
Understanding Neural Machine Translation by Simplification: The Case of Encoder-free Models. RANLP 2019: 1186-1193 - [c55]Denis Emelin, Ivan Titov, Rico Sennrich:
Widening the Representation Bottleneck in Neural Machine Translation with Lexical Shortcuts. WMT (1) 2019: 102-115 - [e1]Mikel L. Forcada, Andy Way, Barry Haddow, Rico Sennrich:
Proceedings of Machine Translation Summit XVII Volume 1: Research Track, MTSummit 2019, Dublin, Ireland, August 19-23, 2019. European Association for Machine Translation 2019 [contents] - [i33]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. CoRR abs/1905.05979 (2019) - [i32]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. CoRR abs/1905.09418 (2019) - [i31]Rico Sennrich, Biao Zhang:
Revisiting Low-Resource Neural Machine Translation: A Case Study. CoRR abs/1905.11901 (2019) - [i30]Biao Zhang, Rico Sennrich:
A Lightweight Recurrent Network for Sequence Modeling. CoRR abs/1905.13324 (2019) - [i29]Denis Emelin, Ivan Titov, Rico Sennrich:
Widening the Representation Bottleneck in Neural Machine Translation with Lexical Shortcuts. CoRR abs/1906.12284 (2019) - [i28]Gongbo Tang, Rico Sennrich, Joakim Nivre:
Understanding Neural Machine Translation by Simplification: The Case of Encoder-free Models. CoRR abs/1907.08158 (2019) - [i27]Biao Zhang, Ivan Titov, Rico Sennrich:
Improving Deep Transformer with Depth-Scaled Initialization and Merged Attention. CoRR abs/1908.11365 (2019) - [i26]Gongbo Tang, Rico Sennrich, Joakim Nivre:
Encoders Help You Disambiguate Word Senses in Neural Machine Translation. CoRR abs/1908.11771 (2019) - [i25]Elena Voita, Rico Sennrich, Ivan Titov:
The Bottom-up Evolution of Representations in the Transformer: A Study with Machine Translation and Language Modeling Objectives. CoRR abs/1909.01380 (2019) - [i24]Elena Voita, Rico Sennrich, Ivan Titov:
Context-Aware Monolingual Repair for Neural Machine Translation. CoRR abs/1909.01383 (2019) - [i23]Biao Zhang, Rico Sennrich:
Root Mean Square Layer Normalization. CoRR abs/1910.07467 (2019) - [i22]Mathias Müller, Annette Rios, Rico Sennrich:
Domain Robustness in Neural Machine Translation. CoRR abs/1911.03109 (2019) - [i21]Nikolay Bogoychev, Rico Sennrich:
Domain, Translationese and Noise in Synthetic Data for Neural Machine Translation. CoRR abs/1911.03362 (2019) - 2018
- [j4]Sheila Castilho, Joss Moorkens, Federico Gaspari, Rico Sennrich, Andy Way, Panayota Georgakopoulou:
Evaluating MT for massive open online courses - A multifaceted comparison between PBSMT and NMT systems. Mach. Transl. 32(3): 255-278 (2018) - [c54]Elena Voita, Pavel Serdyukov, Rico Sennrich, Ivan Titov:
Context-Aware Neural Machine Translation Learns Anaphora Resolution. ACL (1) 2018: 1264-1274 - [c53]Jonathan Mallinson, Rico Sennrich, Mirella Lapata:
Sentence Compression for Arbitrary Languages via Multilingual Pivoting. EMNLP 2018: 2453-2464 - [c52]Gongbo Tang, Mathias Müller, Annette Rios, Rico Sennrich:
Why Self-Attention? A Targeted Evaluation of Neural Machine Translation Architectures. EMNLP 2018: 4263-4272 - [c51]Samuel Läubli, Rico Sennrich, Martin Volk:
Has Machine Translation Achieved Human Parity? A Case for Document-level Evaluation. EMNLP 2018: 4791-4796 - [c50]Philip Williams, Marcin Chochowski, Pawel Przybysz, Rico Sennrich, Barry Haddow, Alexandra Birch:
Samsung and University of Edinburgh's System for the IWSLT 2018 Low Resource MT Task. IWSLT 2018: 118-123 - [c49]Maximiliana Behnke, Antonio Valerio Miceli Barone, Rico Sennrich, Vilelmini Sosoni, Thanasis Naskos, Eirini Takoulidou, Maria Stasimioti, Menno van Zaanen, Sheila Castilho, Federico Gaspari, Panayota Georgakopoulou, Valia Kordoni, Markus Egg, Katia Lida Kermanidis:
Improving Machine Translation of Educational Content via Crowdsourcing. LREC 2018 - [c48]Yutong Shao, Rico Sennrich, Bonnie L. Webber, Federico Fancellu:
Evaluating Machine Translation Performance on Chinese Idioms with a Blacklist Method. LREC 2018 - [c47]Rachel Bawden, Rico Sennrich, Alexandra Birch, Barry Haddow:
Evaluating Discourse Phenomena in Neural Machine Translation. NAACL-HLT 2018: 1304-1313 - [c46]Gongbo Tang, Rico Sennrich, Joakim Nivre:
An Analysis of Attention Mechanisms: The Case of Word Sense Disambiguation in Neural Machine Translation. WMT 2018: 26-35 - [c45]Mathias Müller, Annette Rios, Elena Voita, Rico Sennrich:
A Large-Scale Test Set for the Evaluation of Context-Aware Pronoun Translation in Neural Machine Translation. WMT 2018: 61-72 - [c44]Barry Haddow, Nikolay Bogoychev, Denis Emelin, Ulrich Germann, Roman Grundkiewicz, Kenneth Heafield, Antonio Valerio Miceli Barone, Rico Sennrich:
The University of Edinburgh's Submissions to the WMT18 News Translation Task. WMT (shared task) 2018: 399-409 - [c43]Annette Rios, Mathias Müller, Rico Sennrich:
The Word Sense Disambiguation Test Suite at WMT18. WMT (shared task) 2018: 588-596 - [i20]Elena Voita, Pavel Serdyukov, Rico Sennrich, Ivan Titov:
Context-Aware Neural Machine Translation Learns Anaphora Resolution. CoRR abs/1805.10163 (2018) - [i19]Samuel Läubli, Rico Sennrich, Martin Volk:
Has Machine Translation Achieved Human Parity? A Case for Document-level Evaluation. CoRR abs/1808.07048 (2018) - [i18]Gongbo Tang, Mathias Müller, Annette Rios, Rico Sennrich:
Why Self-Attention? A Targeted Evaluation of Neural Machine Translation Architectures. CoRR abs/1808.08946 (2018) - [i17]Mathias Müller, Annette Rios, Elena Voita, Rico Sennrich:
A Large-Scale Test Set for the Evaluation of Context-Aware Pronoun Translation in Neural Machine Translation. CoRR abs/1810.02268 (2018) - [i16]Gongbo Tang, Rico Sennrich, Joakim Nivre:
An Analysis of Attention Mechanisms: The Case of Word Sense Disambiguation in Neural Machine Translation. CoRR abs/1810.07595 (2018) - 2017
- [j3]Philip Williams, Rico Sennrich, Matt Post, Philipp Koehn, Graeme Hirst, Christian Hadiwinoto:
Syntax-Based Statistical Machine Translation Philip Williams, Rico Sennrich, Matt Post, Philipp Koehn (University of Edinburgh, University of Edinburgh, Johns Hopkins University, Johns Hopkins University), edited by Graeme Hirst, volume 33), 2016, xvii+190 pp; paperback, ISBN 978-1-62705-900-8; ebook, ISBN 978-1-62705-502-4; doi: 10.2200/S00716ED1V04Y201604HLT033, $70. Comput. Linguistics 43(4) (2017) - [c42]Rico Sennrich, Orhan Firat, Kyunghyun Cho, Alexandra Birch, Barry Haddow, Julian Hitschler, Marcin Junczys-Dowmunt, Samuel Läubli, Antonio Valerio Miceli Barone, Jozef Mokry, Maria Nadejde:
Nematus: a Toolkit for Neural Machine Translation. EACL (Software Demonstrations) 2017: 65-68 - [c41]Renars Liepins, Ulrich Germann, Guntis Barzdins, Alexandra Birch, Steve Renals, Susanne Weber, Peggy van der Kreeft, Hervé Bourlard, João Prieto, Ondrej Klejch, Peter Bell, Alexandros Lazaridis, Afonso Mendes, Sebastian Riedel, Mariana S. C. Almeida, Pedro Balage, Shay B. Cohen, Tomasz Dwojak, Philip N. Garner, Andreas Giefer, Marcin Junczys-Dowmunt, Hina Imran, David Nogueira, Ahmed M. Ali, Sebastião Miranda, Andrei Popescu-Belis, Lesly Miculicich Werlen, Nikos Papasarantopoulos, Abiola Obamuyide, Clive Jones, Fahim Dalvi, Andreas Vlachos, Yang Wang, Sibo Tong, Rico Sennrich, Nikolaos Pappas, Shashi Narayan, Marco Damonte, Nadir Durrani, Sameer Khurana, Ahmed Abdelali, Hassan Sajjad, Stephan Vogel, David Sheppey, Chris Hernon, Jeff Mitchell:
The SUMMA Platform Prototype. EACL (Software Demonstrations) 2017: 116-119 - [c40]Rico Sennrich:
How Grammatical is Character-level Neural Machine Translation? Assessing MT Quality with Contrastive Translation Pairs. EACL (2) 2017: 376-382 - [c39]Jonathan Mallinson, Rico Sennrich, Mirella Lapata:
Paraphrasing Revisited with Neural Machine Translation. EACL (1) 2017: 881-893 - [c38]Antonio Valerio Miceli Barone, Barry Haddow, Ulrich Germann, Rico Sennrich:
Regularization techniques for fine-tuning in neural machine translation. EMNLP 2017: 1489-1494 - [c37]Spandana Gella, Rico Sennrich, Frank Keller, Mirella Lapata:
Image Pivoting for Learning Multilingual Multimodal Representations. EMNLP 2017: 2839-2845 - [c36]Antonio Valerio Miceli Barone, Rico Sennrich:
A Parallel Corpus of Python Functions and Documentation Strings for Automated Code Documentation and Code Generation. IJCNLP(2) 2017: 314-319 - [c35]Pawel Przybysz, Marcin Chochowski, Rico Sennrich, Barry Haddow, Alexandra Birch:
The Samsung and University of Edinburgh's submission to IWSLT17. IWSLT 2017: 23-28 - [c34]Annette Rios Gonzales, Laura Mascarell, Rico Sennrich:
Improving Word Sense Disambiguation in Neural Machine Translation with Sense Embeddings. WMT 2017: 11-19 - [c33]Maria Nadejde, Siva Reddy, Rico Sennrich, Tomasz Dwojak, Marcin Junczys-Dowmunt, Philipp Koehn, Alexandra Birch:
Predicting Target Language CCG Supertags Improves Neural Machine Translation. WMT 2017: 68-79 - [c32]Antonio Valerio Miceli Barone, Jindrich Helcl, Rico Sennrich, Barry Haddow, Alexandra Birch:
Deep architectures for Neural Machine Translation. WMT 2017: 99-107 - [c31]Rico Sennrich, Alexandra Birch, Anna Currey, Ulrich Germann, Barry Haddow, Kenneth Heafield, Antonio Valerio Miceli Barone, Philip Williams:
The University of Edinburgh's Neural MT Systems for WMT17. WMT 2017: 389-399 - [i15]Maria Nadejde, Siva Reddy, Rico Sennrich, Tomasz Dwojak, Marcin Junczys-Dowmunt, Philipp Koehn, Alexandra Birch:
Syntax-aware Neural Machine Translation Using CCG. CoRR abs/1702.01147 (2017) - [i14]Rico Sennrich, Orhan Firat, Kyunghyun Cho, Alexandra Birch, Barry Haddow, Julian Hitschler, Marcin Junczys-Dowmunt, Samuel Läubli, Antonio Valerio Miceli Barone, Jozef Mokry, Maria Nadejde:
Nematus: a Toolkit for Neural Machine Translation. CoRR abs/1703.04357 (2017) - [i13]Antonio Valerio Miceli Barone, Rico Sennrich:
A parallel corpus of Python functions and documentation strings for automated code documentation and code generation. CoRR abs/1707.02275 (2017) - [i12]Spandana Gella, Rico Sennrich, Frank Keller, Mirella Lapata:
Image Pivoting for Learning Multilingual Multimodal Representations. CoRR abs/1707.07601 (2017) - [i11]