Sennrich, Rico

Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned

Voita, E., Talbot, D., Moiseev, F., Sennrich, R., & Titov, I. (2019) · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics

Topic ModelingNatural Language Processing Techniques

Cited by 1,146

Neural Machine Translation of Rare Words with Subword Units

Sennrich, R., Haddow, B., & Birch, A. (2016) · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Natural Language Processing TechniquesTopic Modeling

Cited by 974

Neural Machine Translation of Rare Words with Subword Units

Sennrich, R., Haddow, B., & Birch, A. (2015) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 950

Improving Neural Machine Translation Models with Monolingual Data

Sennrich, R., Haddow, B., & Birch, A. (2016) · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Natural Language Processing TechniquesTopic Modeling

Cited by 296

Controlling Politeness in Neural Machine Translation via Side Constraints

Sennrich, R., Haddow, B., & Birch, A. (2016) · Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Natural Language Processing TechniquesTranslation Studies and Practices

Cited by 273

Root Mean Square Layer Normalization

Zhang, B., & Sennrich, R. (2019) · arXiv

Neural Networks and ApplicationsAdvanced Neural Network Applications

Cited by 262

Root Mean Square Layer Normalization

Zhang, B., & Sennrich, R. (2019) · Curran Associates

Neural Networks and ApplicationsAdvanced Neural Network Applications

Cited by 203

On Exposure Bias, Hallucination and Domain Shift in Neural Machine Translation

Wang, C., & Sennrich, R. (2020) · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics

Natural Language Processing TechniquesTopic Modeling

Cited by 118

Domain Robustness in Neural Machine Translation

Müller, M., Rios, A., & Sennrich, R. (2019) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 68

The Bottom-up Evolution of Representations in the Transformer: A Study with Machine Translation and Language Modeling Objectives

Voita, E., Sennrich, R., & Titov, I. (2019) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 17

On Exposure Bias, Hallucination and Domain Shift in Neural Machine Translation

Wang, C., & Sennrich, R. (2020) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 12

Identifying Weaknesses in Machine Translation Metrics Through Minimum Bayes Risk Decoding: A Case Study for COMET

Amrhein, C., & Sennrich, R. (2022) · Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)

Natural Language Processing TechniquesTopic Modeling

Cited by 10

Uncertainty in Natural Language Generation: From Theory to Applications

Baan, J., Daheim, N., Ilia, E., Ulmer, D., Li, H.-S., Fernández, R., Plank, B., Sennrich, R., Zerva, C., & Aziz, W. (2023) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 6