| 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 | 69 | 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 | 54 | 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 | 48 | 2022 |
| On Romanization for model transfer between scripts in neural machine translation C Amrhein, R Sennrich arXiv preprint arXiv:2009.14824, 2020 | 26 | 2020 |
| 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 | 21 | 2023 |
| ACES: Translation accuracy challenge sets for evaluating machine translation metrics C Amrhein, N Moghe, L Guillou arXiv preprint arXiv:2210.15615, 2022 | 21 | 2022 |
| How suitable are subword segmentation strategies for translating non-concatenative morphology? C Amrhein, R Sennrich arXiv preprint arXiv:2109.01100, 2021 | 17 | 2021 |
| 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 | 16 | 2016 |
| On biasing transformer attention towards monotonicity A Rios, C Amrhein, N Aepli, R Sennrich arXiv preprint arXiv:2104.03945, 2021 | 8 | 2021 |
| A benchmark for evaluating machine translation metrics on dialects without standard orthography N Aepli, C Amrhein, F Schottmann, R Sennrich arXiv preprint arXiv:2311.16865, 2023 | 7 | 2023 |
| 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 | 6 | 2023 |
| 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 |
| Machine Translation Meta Evaluation through Translation Accuracy Challenge Sets N Moghe, A Fazla, C Amrhein, T Kocmi, M Steedman, A Birch, R Sennrich, ... arXiv preprint arXiv:2401.16313, 2024 | 5 | 2024 |
| ACES: Translation accuracy challenge sets at WMT 2023 C Amrhein, N Moghe, L Guillou arXiv preprint arXiv:2311.01153, 2023 | 4 | 2023 |
| Don't Discard Fixed-Window Audio Segmentation in Speech-to-Text Translation C Amrhein, B Haddow arXiv preprint arXiv:2210.13363, 2022 | 4 | 2022 |
| Post-correcting OCR errors using neural machine translation C Amrhein Ph. D. thesis, Universität Zürich, 2017 | 2 | 2017 |
| A comparison of translation performance between DeepL and Supertext A Flückiger, C Amrhein, T Graf, P Schläpfer, F Schottmann, S Läubli arXiv preprint arXiv:2502.02577, 2025 | | 2025 |
| Manipulating Data Representations for Neural Machine Translation C Amrhein University of Zurich, 2023 | | 2023 |
| Learning What to Share in Multi-Task Learning C Amrhein | | |
