ZORA Publikationsliste

Publikationen

• Nickl, R., Stöcklin, D. U., Glock, H. J., Bubenhofer, N., & Sennrich, R. (2023). Interview : Wir und ChatGPT «Wie ein Schweizer Taschenmesser». UZH Magazin: die Zeitschrift der Universität Zürich : die Wissenschaftszeitschrift, 60–65. https://www.news.uzh.ch/dam/jcr:2fc9d6d4-160c-4138-ae7f-d737f956c889/UZH_Magazin_2_23.pdf
• Vamvas, J., & Sennrich, R. (2022). NMTScore: A Multilingual Analysis of Translation-based Text Similarity Measures (No. 2022). 198–213. https://perma.cc/4KW7-7BNN
• Amrhein, C., & Sennrich, R. (2022, November). Identifying Weaknesses in Machine Translation Metrics Through Minimum Bayes Risk Decoding: A Case Study for COMET 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, Online. https://doi.org/10.48550/arXiv.2202.05148
• Jiang, Y. E., Liu, T., Ma, S., Zhang, D., Yang, J., Huang, H., Sennrich, R., Cotterell, R., Sachan, M., & Zhou, M. (2022). BlonDe: An Automatic Evaluation Metric for Document-level Machine Translation 1550–1565. https://aclanthology.org/2022.naacl-main.111
• Aepli, N., & Sennrich, R. (2022). Improving Zero-Shot Cross-lingual Transfer Between Closely Related Languages by Injecting Character-Level Noise 4074–4083. https://aclanthology.org/2022.findings-acl.321
• Vamvas, J., & Sennrich, R. (2022). As Little as Possible, as Much as Necessary: Detecting Over- and Undertranslations with Contrastive Conditioning 490–500. https://aclanthology.org/2022.acl-short.53/
• Miceli Barone, A. V., Birch, A., & Sennrich, R. (2022, May). Distributionally Robust Recurrent Decoders with Random Network Distillation Proceedings of the 7th Workshop on Representation Learning for NLP, Dublin. https://aclanthology.org/2022.repl4nlp-1.1
• Zhang, B., Haddow, B., & Sennrich, R. (2022). Revisiting End-to-End Speech-to-Text Translation From Scratch 162, 26193–26205. https://proceedings.mlr.press/v162/zhang22i.html
• Vamvas, J., & Sennrich, R. (2021, November 11). Contrastive Conditioning for Assessing Disambiguation in MT: A Case Study of Distilled Bias 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP), Online and in Punta Cana. https://aclanthology.org/2021.emnlp-main.803/
• Vamvas, J., & Sennrich, R. (2021, November 11). On the Limits of Minimal Pairs in Contrastive Evaluation Fourth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, Online and in Punta Cana. https://aclanthology.org/2021.blackboxnlp-1.5/
• Emelin, D., & Sennrich, R. (2021). Wino-X: Multilingual Winograd Schemas for Commonsense Reasoning and Coreference Resolution 8517–8532. https://aclanthology.org/2021.emnlp-main.670
• Voita, E., Sennrich, R., & Titov, I. (2021). Language Modeling, Lexical Translation, Reordering: The Training Process of NMT through the Lens of Classical SMT 8478–8491. https://aclanthology.org/2021.emnlp-main.667
• Li, J., Ataman, D., & Sennrich, R. (2021). Vision Matters When It Should: Sanity Checking Multimodal Machine Translation Models 8556–8562. https://aclanthology.org/2021.emnlp-main.673
• Amrhein, C., & Sennrich, R. (2021). How Suitable Are Subword Segmentation Strategies for Translating Non-Concatenative Morphology? 689–705. https://aclanthology.org/2021.findings-emnlp.60
• Zhang, B., Titov, I., & Sennrich, R. (2021). Sparse Attention with Linear Units 6507–6520. https://aclanthology.org/2021.emnlp-main.523
• Tang, G., Rönchen, P., Sennrich, R., & Nivre, J. (2021). Revisiting Negation in Neural Machine Translation Transactions of the Association for Computational Linguistics, 9, 740–755. https://doi.org/10.1162/tacl_a_00395
• Rios, A., Amrhein, C., Aepli, N., & Sennrich, R. (2021). On Biasing Transformer Attention Towards Monotonicity Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 4474–4488. https://www.aclweb.org/anthology/2021.naacl-main.354
• Wang, C., Hardmeier, C., & Sennrich, R. (2021). Exploring the Importance of Source Text in Automatic Post-Editing for Context-Aware Machine Translation 326–335. https://www.aclweb.org/anthology/2021.nodalida-main.34
• Bojar, O., Macháček, D., Sagar, S., Smrž, O., Kratochvíl, J., Polák, P., Ansari, E., Mahmoudi, M., Kumar, R., Franceschini, D., Canton, C., Simonini, I., Nguyen, T.-S., Schneider, F., Stüker, S., Waibel, A., Haddow, B., Sennrich, R., & Williams, P. (2021, January 1). ELITR Multilingual Live Subtitling: Demo and Strategy Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, Online. https://doi.org/10.18653/v1/2021.eacl-demos.32
• Zhang, B., Bapna, A., Sennrich, R., & Firat, O. (2021). Share or Not? Learning to Schedule Language-Specific Capacity for Multilingual Translation International Conference on Learning Representations, Virtual. https://openreview.net/forum?id=Wj4ODo0uyCF

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