| Supervised OCR error detection and correction using statistical and neural machine translation methods C Amrhein, S Clematide Journal for Language Technology and Computational Linguistics (JLCL) 33 (1 …, 2018 | 45 | 2018 |
| Post-editing productivity with neural machine translation: An empirical assessment of speed and quality in the banking and finance domain S Läubli, C Amrhein, P Düggelin, B Gonzalez, A Zwahlen, M Volk arXiv preprint arXiv:1906.01685, 2019 | 34 | 2019 |
| Identifying weaknesses in machine translation metrics through minimum bayes risk decoding: A case study for comet C Amrhein, R Sennrich arXiv preprint arXiv:2202.05148, 2022 | 17 | 2022 |
| Building a parallel corpus on the world’s oldest banking magazine M Volk, C Amrhein, N Aepli, M Müller, P Ströbel Proceedings of the 13th Conference on Natural Language Processing (KONVENS …, 2016 | 15 | 2016 |
| On romanization for model transfer between scripts in neural machine translation C Amrhein, R Sennrich arXiv preprint arXiv:2009.14824, 2020 | 13 | 2020 |
| How Suitable Are Subword Segmentation Strategies for Translating Non-Concatenative Morphology? C Amrhein, R Sennrich arXiv preprint arXiv:2109.01100, 2021 | 11 | 2021 |
| C-3MA: Tartu-Riga-Zurich translation systems for WMT17 M Rikters, C Amrhein, M Del, M Fishel Proceedings of the Second Conference on Machine Translation, 382-388, 2017 | 6 | 2017 |
| ACES: Translation accuracy challenge sets for evaluating machine translation metrics C Amrhein, N Moghe, L Guillou arXiv preprint arXiv:2210.15615, 2022 | 5 | 2022 |
| On biasing transformer attention towards monotonicity A Rios, C Amrhein, N Aepli, R Sennrich arXiv preprint arXiv:2104.03945, 2021 | 4 | 2021 |
| Exploiting Biased Models to De-bias Text: A Gender-Fair Rewriting Model C Amrhein, F Schottmann, R Sennrich, S Läubli arXiv preprint arXiv:2305.11140, 2023 | 2 | 2023 |
| Don't Discard Fixed-Window Audio Segmentation in Speech-to-Text Translation C Amrhein, B Haddow arXiv preprint arXiv:2210.13363, 2022 | 1 | 2022 |
| Evaluating the Effectiveness of Natural Language Inference for Hate Speech Detection in Languages with Limited Labeled Data J Goldzycher, M Preisig, C Amrhein, G Schneider arXiv preprint arXiv:2306.03722, 2023 | | 2023 |
| Learning What to Share in Multi-Task Learning C Amrhein | | |
| Post-Correcting OCR Errors Using Neural Machine Translation C Amrhein | | |
