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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]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) - [c55]Elena Voita, Pavel Serdyukov, Rico Sennrich, Ivan Titov:
Context-Aware Neural Machine Translation Learns Anaphora Resolution. ACL (1) 2018: 1264-1274 - [c54]Jonathan Mallinson, Rico Sennrich, Mirella Lapata:
Sentence Compression for Arbitrary Languages via Multilingual Pivoting. EMNLP 2018: 2453-2464 - [c53]Gongbo Tang, Mathias Müller, Annette Rios, Rico Sennrich:
Why Self-Attention? A Targeted Evaluation of Neural Machine Translation Architectures. EMNLP 2018: 4263-4272 - [c52]Samuel Läubli, Rico Sennrich, Martin Volk:
Has Machine Translation Achieved Human Parity? A Case for Document-level Evaluation. EMNLP 2018: 4791-4796 - [c51]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 - [c50]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 - [c49]Yutong Shao, Rico Sennrich, Bonnie L. Webber, Federico Fancellu:
Evaluating Machine Translation Performance on Chinese Idioms with a Blacklist Method. LREC 2018 - [c48]Rachel Bawden, Rico Sennrich, Alexandra Birch, Barry Haddow:
Evaluating Discourse Phenomena in Neural Machine Translation. NAACL-HLT 2018: 1304-1313 - [c47]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 - [c46]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 - [c45]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 - [c44]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) - [c43]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 - [c42]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 - [c41]Rico Sennrich:
How Grammatical is Character-level Neural Machine Translation? Assessing MT Quality with Contrastive Translation Pairs. EACL (2) 2017: 376-382 - [c40]Jonathan Mallinson, Rico Sennrich, Mirella Lapata:
Paraphrasing Revisited with Neural Machine Translation. EACL (1) 2017: 881-893 - [c39]Antonio Valerio Miceli Barone, Barry Haddow, Ulrich Germann, Rico Sennrich:
Regularization techniques for fine-tuning in neural machine translation. EMNLP 2017: 1489-1494 - [c38]Spandana Gella, Rico Sennrich, Frank Keller, Mirella Lapata:
Image Pivoting for Learning Multilingual Multimodal Representations. EMNLP 2017: 2839-2845 - [c37]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 - [c36]Pawel Przybysz, Marcin Chochowski, Rico Sennrich, Barry Haddow, Alexandra Birch:
The Samsung and University of Edinburgh's submission to IWSLT17. IWSLT 2017: 23-28 - [c35]Sheila Castilho, Joss Moorkens, Federico Gaspari, Rico Sennrich, Vilelmini Sosoni, Panayota Georgakopoulou, Pintu Lohar, Andy Way, Antonio Valerio Miceli Barone, Maria Gialama:
A Comparative Quality Evaluation of PBSMT and NMT using Professional Translators. MTSummit (1) 2017: 116-131 - [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]Antonio Valerio Miceli Barone, Jindrich Helcl, Rico Sennrich, Barry Haddow, Alexandra Birch:
Deep Architectures for Neural Machine Translation. CoRR abs/1707.07631 (2017) - [i10]Antonio Valerio Miceli Barone, Barry Haddow, Ulrich Germann, Rico Sennrich:
Regularization techniques for fine-tuning in neural machine translation. CoRR abs/1707.09920 (2017) - [i9]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. CoRR abs/1708.00726 (2017) - [i8]Rachel Bawden, Rico Sennrich, Alexandra Birch, Barry Haddow:
Evaluating Discourse Phenomena in Neural Machine Translation. CoRR abs/1711.00513 (2017) - [i7]Yutong Shao, Rico Sennrich, Bonnie L. Webber, Federico Fancellu:
Evaluating Machine Translation Performance on Chinese Idioms with a Blacklist Method. CoRR abs/1711.07646 (2017) - 2016
- [b1]Philip Williams, Rico Sennrich, Matt Post, Philipp Koehn:
Syntax-based Statistical Machine Translation. Synthesis Lectures on Human Language Technologies, Morgan & Claypool Publishers 2016, ISBN 978-3-031-01036-1 - [c30]Rico Sennrich, Barry Haddow, Alexandra Birch:
Improving Neural Machine Translation Models with Monolingual Data. ACL (1) 2016 - [c29]Rico Sennrich, Barry Haddow, Alexandra Birch:
Neural Machine Translation of Rare Words with Subword Units. ACL (1) 2016 - [c28]Valia Kordoni, Lexi Birch, Ioana Buliga, Kostadin Cholakov, Markus Egg, Federico Gaspari, Yota Georgakopoulou, Maria Gialama, Iris Hendrickx, Mitja Jermol, Katia Kermanidis, Joss Moorkens, Davor Orlic, Michael Papadopoulos, Maja Popovic, Rico Sennrich, Vilelmini Sosoni, Dimitrios Tsoumakos, Antal van den Bosch, Menno van Zaanen, Andy Way:
TraMOOC (Translation for Massive Open Online Courses): providing reliable MT for MOOCs. EAMT (Projects/Products) 2016 - [c27]Rico Sennrich, Barry Haddow, Alexandra Birch:
Controlling Politeness in Neural Machine Translation via Side Constraints. HLT-NAACL 2016: 35-40 - [c26]Rico Sennrich, Barry Haddow:
Linguistic Input Features Improve Neural Machine Translation. WMT 2016: 83-91 - [c25]Marcin Junczys-Dowmunt, Tomasz Dwojak, Rico Sennrich:
The AMU-UEDIN Submission to the WMT16 News Translation Task: Attention-based NMT Models as Feature Functions in Phrase-based SMT. WMT 2016: 319-325 - [c24]Jan-Thorsten Peter, Tamer Alkhouli, Hermann Ney, Matthias Huck, Fabienne Braune, Alexander M. Fraser, Ales Tamchyna, Ondrej Bojar, Barry Haddow, Rico Sennrich, Frédéric Blain, Lucia Specia, Jan Niehues, Alex Waibel, Alexandre Allauzen, Lauriane Aufrant, Franck Burlot, Elena Knyazeva, Thomas Lavergne, François Yvon, Marcis Pinnis, Stella Frank:
The QT21/HimL Combined Machine Translation System. WMT 2016: 344-355 - [c23]Rico Sennrich, Barry Haddow, Alexandra Birch:
Edinburgh Neural Machine Translation Systems for WMT 16. WMT 2016: 371-376 - [c22]Philip Williams, Rico Sennrich, Maria Nadejde, Matthias Huck, Barry Haddow, Ondrej Bojar:
Edinburgh's Statistical Machine Translation Systems for WMT16. WMT 2016: 399-410 - [i6]Marcin Junczys-Dowmunt, Tomasz Dwojak, Rico Sennrich:
The AMU-UEDIN Submission to the WMT16 News Translation Task: Attention-based NMT Models as Feature Functions in Phrase-based SMT. CoRR abs/1605.04809 (2016) - [i5]Rico Sennrich, Barry Haddow, Alexandra Birch:
Edinburgh Neural Machine Translation Systems for WMT 16. CoRR abs/1606.02891 (2016) - [i4]Rico Sennrich, Barry Haddow:
Linguistic Input Features Improve Neural Machine Translation. CoRR abs/1606.02892 (2016) - [i3]Rico Sennrich:
How Grammatical is Character-level Neural Machine Translation? Assessing MT Quality with Contrastive Translation Pairs. CoRR abs/1612.04629 (2016) - 2015
- [j2]Rico Sennrich, Philip Williams, Matthias Huck:
A tree does not make a well-formed sentence: Improving syntactic string-to-tree statistical machine translation with more linguistic knowledge. Comput. Speech Lang. 32(1): 27-45 (2015) - [j1]Rico Sennrich:
Modelling and Optimizing on Syntactic N-Grams for Statistical Machine Translation. Trans. Assoc. Comput. Linguistics 3: 169-182 (2015) - [c21]Rico Sennrich, Barry Haddow:
A Joint Dependency Model of Morphological and Syntactic Structure for Statistical Machine Translation. EMNLP 2015: 2081-2087 - [c20]Philip Williams, Rico Sennrich, Maria Nadejde, Matthias Huck, Philipp Koehn:
Edinburgh's Syntax-Based Systems at WMT 2015. WMT@EMNLP 2015: 199-209 - [i2]Rico Sennrich, Barry Haddow, Alexandra Birch:
Neural Machine Translation of Rare Words with Subword Units. CoRR abs/1508.07909 (2015) - [i1]Rico Sennrich, Barry Haddow, Alexandra Birch:
Improving Neural Machine Translation Models with Monolingual Data. CoRR abs/1511.06709 (2015) - 2014
- [c19]Mark Fishel, Rico Sennrich:
Handling technical OOVs in SMT. EAMT 2014: 159-162 - [c18]Rico Sennrich, Beat Kunz:
Zmorge: A German Morphological Lexicon Extracted from Wiktionary. LREC 2014: 1063-1067 - [c17]Rico Sennrich:
A CYK+ Variant for SCFG Decoding Without a Dot Chart. SSST@EMNLP 2014: 94-102 - [c16]Markus Freitag, Stephan Peitz, Joern Wuebker, Hermann Ney, Matthias Huck, Rico Sennrich, Nadir Durrani, Maria Nadejde, Philip Williams, Philipp Koehn, Teresa Herrmann, Eunah Cho, Alex Waibel:
EU-BRIDGE MT: Combined Machine Translation. WMT@ACL 2014: 105-113 - [c15]Philip Williams, Rico Sennrich, Maria Nadejde, Matthias Huck, Eva Hasler, Philipp Koehn:
Edinburgh's Syntax-Based Systems at WMT 2014. WMT@ACL 2014: 207-214 - 2013
- [c14]Rico Sennrich, Holger Schwenk, Walid Aransa:
A Multi-Domain Translation Model Framework for Statistical Machine Translation. ACL (1) 2013: 832-840 - [c13]Rico Sennrich:
Promoting Flexible Translations in Statistical Machine Translation. MTSummit (Posters) 2013 - [c12]Rico Sennrich, Martin Volk, Gerold Schneider:
Exploiting Synergies Between Open Resources for German Dependency Parsing, POS-tagging, and Morphological Analysis. RANLP 2013: 601-609 - 2012
- [c11]Rico Sennrich:
Perplexity Minimization for Translation Model Domain Adaptation in Statistical Machine Translation. EACL 2012: 539-549 - [c10]Rico Sennrich:
Mixture-Modeling with Unsupervised Clusters for Domain Adaptation in Statistical Machine Translation. EAMT 2012: 185-192 - [c9]Mark Fishel, Rico Sennrich, Maja Popovic, Ondrej Bojar:
TerrorCat: a Translation Error Categorization-based MT Quality Metric. WMT@NAACL-HLT 2012: 64-70 - 2011
- [c8]Rico Sennrich:
Combining Multi-Engine Machine Translation and Online Learning through Dynamic Phrase Tables. EAMT 2011 - [c7]Sarah Ebling, Rico Sennrich, David Klaper:
Digging for Names in the Mountains: Combined Person Name Recognition and Reference Resolution for German Alpine Texts. LTC 2011: 189-200 - [c6]Rico Sennrich, Martin Volk:
Iterative, MT-based Sentence Alignment of Parallel Texts. NODALIDA 2011: 175-182 - [c5]Martin Volk, Rico Sennrich:
Disambiguation of English Contractions for Machine Translation of TV Subtitles. NODALIDA 2011: 238-245 - [c4]Rico Sennrich:
The UZH System Combination System for WMT 2011. WMT@EMNLP 2011: 166-170 - [p1]Martin Volk, Lenz Furrer, Rico Sennrich:
Strategies for Reducing and Correcting OCR Errors. Language Technology for Cultural Heritage 2011: 3-22 - 2010
- [c3]Rico Sennrich, Martin Volk:
MT-based Sentence Alignment for OCR-generated Parallel Texts. AMTA 2010 - [c2]Manfred Klenner, Don Tuggener, Angela Fahrni, Rico Sennrich:
Anaphora Resolution with Real Preprocessing. IceTAL 2010: 215-225 - [c1]Manfred Klenner, Angela Fahrni, Rico Sennrich:
Real Anaphora Resolution Is Hard - The Case of German. TSD 2010: 109-116
Coauthor Index
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