Institut für Computerlinguistik

Hi! I'm a PhD student supervised by Rico Sennrich and Martin Volk. I'm working in the SNF project Multi-Task Learning with Multilingual Resources for Better Natural Language Understanding.

• Since September 2019: PhD Student at the Department of Computational Linguistics
• 2018 - 2019: MSc in Artificial Intelligence at the University of Edinburgh
• 2014 - 2018: BA in Computational Linguistics and Language Technology (90), Computer Science (60) and English Studies (30) from the University of Zurich

• Autumn 2022: PhD Research Internship at TextShuttle
• Spring 2022: Research stay with the Natural Language Processing Group at the University of Edinburgh
• 2018: NLP Software Engineer at TextShuttle
• 2015–2017: Student Assistant for the project bulletin4corpus at the Department of Computational Linguistics

Chantal Amrhein, Nikita Moghe, Liane Guillou. 2022.ACES: Translation Accuracy Challenge Sets for Evaluating Machine Translation Metrics. In Seventh Conference on Machine Translation (WMT22). Abu Dhabi, United Arab Emirates

Chantal Amrhein, Barry Haddow. 2022.Don’t Discard Fixed-Window Audio Segmentation in Speech-to-Text Translation. In Seventh Conference on Machine Translation (WMT22). Abu Dhabi, United Arab Emirates

Chantal Amrhein, Rico Sennrich. 2022. Identifying Weaknesses in Machine Translation Metrics Through Minimum Bayes Risk Decoding: A Case Study for COMET. In 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing. Online

Chantal Amrhein, Rico Sennrich. 2021. How Suitable Are Subword Segmentation Strategies for Translating Non-Concatenative Morphology?. In Findings of the Association for Computational Linguistics: EMNLP 2021. Punta Cana, Dominican Republic, pp. 689-705.

Annette Rios, Chantal Amrhein, Noëmi Aepli, Rico Sennrich. 2021. On Biasing Transformer Attention Towards Monotonicity. In Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. Online, pp. 4474-4488.

Chantal Amrhein, Rico Sennrich. 2020. On Romanization for Model Transfer Between Scripts in Neural Machine Translation. In Findings of the Association for Computational Linguistics: EMNLP 2020. Online, pp. 2461-2469.

Samuel Läubli, Chantal Amrhein, Patrick Düggelin, Beatriz Gonzalez, Alena Zwahlen, Martin Volk. 2019. Post-editing Productivity with Neural Machine Translation: An Empirical Assessment of Speed and Quality in the Banking and Finance Domain. In Proceedings of Machine Translation Summit XVII Volume 1: Research Track, pages 267--272, Dublin, Ireland.

Chantal Amrhein and Simon Clematide. 2018. Supervised OCR Error Detection and Correction Using Statistical and Neural Machine Translation Methods. In Journal for Language Technology and Computational Linguistics (JLCL), Volume 33.1, pages 49-76.

Matīss Rikters, Chantal Amrhein, Maksym Del and Mark Fishel. 2017. C-3MA: Tartu-Riga-Zurich Translation Systems for WMT17. In Proceedings of the Second Conference on Machine Translation, pages 382-388, Copenhagen, Denmark.

Martin Volk, Chantal Amrhein, Noëmi Aepli, Mathias Müller and Phillip Ströbel. 2016. Building a Parallel Corpus on the World’s Oldest Banking Magazine. In Proceedings of the 13th Conference on Natural Language Processing (KONVENS 2016), pages 288-296, Bochum, Germany.

13. June 2022: Invited talk at MT meetup in Zurich about low-resource settings in MT, together with Noëmi Aepli.

15. March 2022: Invited talk at Microsoft's MT Reading Group about identifying weaknesses in machine translation metrics through minimum bayes risk decoding.

07. March 2022: Invited talk at IST & Unbabel Seminars about identifying weaknesses in machine translation metrics through minimum bayes risk decoding.