ZORA Publikationsliste

Publikationen

• 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
• Müller, M., & Sennrich, R. (2021, January 1). Understanding the Properties of Minimum Bayes Risk Decoding in Neural Machine Translation Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), Online. https://doi.org/10.18653/v1/2021.acl-long.22
• Zhang, B., & Sennrich, R. (2021, January 1). Edinburgh’s End-to-End Multilingual Speech Translation System for IWSLT 2021 Proceedings of the 18th International Conference on Spoken Language Translation (IWSLT 2021), Bangkok. https://doi.org/10.18653/v1/2021.iwslt-1.19
• Zhang, B., Titov, I., & Sennrich, R. (2021, January 1). On Sparsifying Encoder Outputs in Sequence-to-Sequence Models Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, Online. https://doi.org/10.18653/v1/2021.findings-acl.255
• Tang, G., Sennrich, R., & Nivre, J. (2020). Understanding Pure Character-Based Neural Machine Translation: The Case of Translating Finnish into English 4251–4262. https://www.aclweb.org/anthology/2020.coling-main.375
• Zhang, B., Titov, I., & Sennrich, R. (2020). Fast Interleaved Bidirectional Sequence Generation 501–513.
• Rios, A., Müller, M., & Sennrich, R. (2020). Subword segmentation and a single bridge language affect zero-shot neural machine translation 526–535. http://www.statmt.org/wmt20/pdf/2020.wmt-1.64.pdf
• Emelin, D., Titov, I., & Sennrich, R. (2020). Detecting Word Sense Disambiguation Biases in Machine Translation for Model-Agnostic Adversarial Attacks 7635–7653. https://www.aclweb.org/anthology/2020.emnlp-main.616
• Mallinson, J., Sennrich, R., & Lapata, M. (2020). Zero-Shot Crosslingual Sentence Simplification 5109–5126. https://www.aclweb.org/anthology/2020.emnlp-main.415
• Amrhein, C., & Sennrich, R. (2020). On Romanization for Model Transfer Between Scripts in Neural Machine Translation 2461–2469. https://www.aclweb.org/anthology/2020.findings-emnlp.223
• Zhang, B., Titov, I., Haddow, B., & Sennrich, R. (2020). Adaptive Feature Selection for End-to-End Speech Translation 2533–2544. https://www.aclweb.org/anthology/2020.findings-emnlp.230
• Müller, M., Rios, A., & Sennrich, R. (2020). Domain robustness in neural machine translation Proceedings of the 14th Conference of the Association for Machine Translation in the Americas, 151–164. https://www.aclweb.org/anthology/2020.amta-research.14
• Aji, A. F., Bogoychev, N., Heafield, K., & Sennrich, R. (2020). In Neural Machine Translation, What Does Transfer Learning Transfer? 7701–7710. https://www.aclweb.org/anthology/2020.acl-main.688
• Wang, C., & Sennrich, R. (2020). On Exposure Bias, Hallucination and Domain Shift in Neural Machine Translation 3544–3552. https://www.aclweb.org/anthology/2020.acl-main.326
• Zhang, B., Williams, P., Titov, I., & Sennrich, R. (2020). Improving Massively Multilingual Neural Machine Translation and Zero-Shot Translation 1628–1639. https://www.aclweb.org/anthology/2020.acl-main.148
• Vamvas, J., & Sennrich, R. (2020, June 25). X-Stance: A Multilingual Multi-Target Dataset for Stance Detection 5th Swiss Text Analytics Conference (SwissText) & 16th Conference on Natural Language Processing (KONVENS), Zurich. http://ceur-ws.org/Vol-2624/paper9.pdf
• Läubli, S., Castilho, S., Neubig, G., Sennrich, R., Shen, Q., & Toral, A. (2020). A Set of Recommendations for Assessing Human–Machine Parity in Language Translation Journal of Artificial Intelligence Research, 67, 653–672. https://doi.org/10.1613/jair.1.11371
• Zhang, B., & Sennrich, R. (2019, December 14). Root Mean Square Layer Normalization Advances in Neural Information Processing Systems 32. Advances in Neural Information Processing Systems 32, Vancouver. http://papers.nips.cc/paper/9403-root-mean-square-layer-normalization.pdf
• Voita, E., Sennrich, R., & Titov, I. (2019). The Bottom-up Evolution of Representations in the Transformer: A Study with Machine Translation and Language Modeling Objectives 4387–4397. https://www.aclweb.org/anthology/D19-1448.pdf
• Tang, G., Sennrich, R., & Nivre, J. (2019). Encoders Help You Disambiguate Word Senses in Neural Machine Translation 1429–1435. https://doi.org/10.18653/v1/D19-1149

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