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Chantal Amrhein
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2020 – today
- 2022
- [c9]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 - [c8]Chantal Amrhein, Barry Haddow:
Don't Discard Fixed-Window Audio Segmentation in Speech-to-Text Translation. WMT 2022: 203-219 - [c7]Chantal Amrhein, Nikita Moghe, Liane Guillou:
ACES: Translation Accuracy Challenge Sets for Evaluating Machine Translation Metrics. WMT 2022: 479-513 - [i7]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) - [i6]Chantal Amrhein, Barry Haddow:
Don't Discard Fixed-Window Audio Segmentation in Speech-to-Text Translation. CoRR abs/2210.13363 (2022) - [i5]Chantal Amrhein, Nikita Moghe, Liane Guillou:
ACES: Translation Accuracy Challenge Sets for Evaluating Machine Translation Metrics. CoRR abs/2210.15615 (2022) - 2021
- [c6]Chantal Amrhein, Rico Sennrich:
How Suitable Are Subword Segmentation Strategies for Translating Non-Concatenative Morphology? EMNLP (Findings) 2021: 689-705 - [c5]Annette Rios, Chantal Amrhein, Noëmi Aepli, Rico Sennrich
:
On Biasing Transformer Attention Towards Monotonicity. NAACL-HLT 2021: 4474-4488 - [i4]Annette Rios, Chantal Amrhein, Noëmi Aepli, Rico Sennrich:
On Biasing Transformer Attention Towards Monotonicity. CoRR abs/2104.03945 (2021) - [i3]Chantal Amrhein, Rico Sennrich:
How Suitable Are Subword Segmentation Strategies for Translating Non-Concatenative Morphology? CoRR abs/2109.01100 (2021) - 2020
- [c4]Chantal Amrhein, Rico Sennrich
:
On Romanization for Model Transfer Between Scripts in Neural Machine Translation. EMNLP (Findings) 2020: 2461-2469 - [i2]Chantal Amrhein, Rico Sennrich:
On Romanization for Model Transfer Between Scripts in Neural Machine Translation. CoRR abs/2009.14824 (2020)
2010 – 2019
- 2019
- [c3]Samuel Läubli, Chantal Amrhein, Patrick Düggelin, Beatriz Gonzalez, Alena Zwahlen, Martin Volk:
Post-editing Productivity with Neural Machine Translation: An Empirical Assessment of Speed and Quality in the Banking and Finance Domain. MTSummit (1) 2019: 267-272 - [i1]Samuel Läubli, Chantal Amrhein, Patrick Düggelin, Beatriz Gonzalez, Alena Zwahlen, Martin Volk:
Post-editing Productivity with Neural Machine Translation: An Empirical Assessment of Speed and Quality in the Banking and Finance Domain. CoRR abs/1906.01685 (2019) - 2018
- [j1]Chantal Amrhein, Simon Clematide:
Supervised OCR Error Detection and Correction Using Statistical and Neural Machine Translation Methods. J. Lang. Technol. Comput. Linguistics 33(1): 49-76 (2018) - 2017
- [c2]Matiss Rikters, Chantal Amrhein, Maksym Del, Mark Fishel:
C-3MA: Tartu-Riga-Zurich Translation Systems for WMT17. WMT 2017: 382-388 - 2016
- [c1]Martin Volk, Chantal Amrhein, Noëmi Aepli, Mathias Müller, Phillip Ströbel:
Building a Parallel Corpus on the World's Oldest Banking Magazine. KONVENS 2016
Coauthor Index

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