| Nematus: a toolkit for neural machine translation R Sennrich, O Firat, K Cho, A Birch, B Haddow, J Hitschler, ... Proceedings of the EACL 2017 Software Demonstrations, 65–68, 2017 | 401 | 2017 |
| Has Machine Translation Achieved Human Parity? A Case for Document-level Evaluation S Läubli, R Sennrich, M Volk Proceedings of EMNLP 2018, 4791–4796, 2018 | 202 | 2018 |
| Assessing Post-Editing Efficiency in a Realistic Translation Environment S Läubli, M Fishel, G Massey, M Ehrensberger-Dow, M Volk Proceedings of MT Summit XIV Workshop on Post-editing Technology and …, 2013 | 90 | 2013 |
| A Set of Recommendations for Assessing Human–Machine Parity in Language Translation S Läubli, S Castilho, G Neubig, R Sennrich, Q Shen, A Toral Journal of Artificial Intelligence Research 67, 653–672, 2020 | 71 | 2020 |
| When Google Translate is better than some human colleagues, those people are no longer colleagues S Läubli, D Orrego-Carmona Proceedings of Translating and the Computer 39, 59–69, 2017 | 48 | 2017 |
| 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 Proceedings of MT Summit, 267–272, 2019 | 19 | 2019 |
| Combining Statistical Machine Translation and Translation Memories with Domain Adaptation S Läubli, M Fishel, M Volk, M Weibel Proceedings of the 19th Nordic Conference of Computational Linguistics …, 2013 | 9 | 2013 |
| Statistical modelling and automatic tagging of human translation processes S Läubli, U Germann New Directions in Empirical Translation Process Research, 155-181, 2016 | 8 | 2016 |
| Translation technology research and human–computer interaction (HCI) S Läubli, S Green The Routledge Handbook of Translation and Technology, 2019 | 7 | 2019 |
| Towards mapping of alpine route descriptions M Piotrowski, S Läubli, M Volk Proceedings of the 6th Workshop on Geographic Information Retrieval, 1-2, 2010 | 7 | 2010 |
| What's the Difference Between Professional Human and Machine Translation? A Blind Multi-language Study on Domain-specific MT L Fischer, S Läubli Proceedings of EAMT 2020, 215–224, 2020 | 4 | 2020 |
| mtrain: A Convenience Tool for Machine Translation S Läubli, M Müller, B Horat, M Volk Proceedings of EAMT 2018, 357, 2018 | 4 | 2018 |
| Statistical Machine Translation for Automobile Marketing Texts S Läubli, M Fishel, M Weibel, M Volk Proceedings of MT Summit XIV, 2013 | 4 | 2013 |
| Automatic TM Cleaning through MT and POS Tagging: Autodesk's Submission to the NLP4TM 2016 Shared Task A Zwahlen, O Carnal, S Läubli arXiv preprint arXiv:1605.05906, 2016 | 2 | 2016 |
| Sentiment Analysis for Media Reputation Research S Läubli, M Schranz, U Christen, M Klenner Proceedings of KONVENS 2012 (PATHOS 2012 workshop), 274-281, 2012 | 2 | 2012 |
| The Impact of Text Presentation on Translator Performance S Läubli, P Simianer, J Wuebker, G Kovacs, R Sennrich, S Green Target: International Journal of Translation Studies 34 (2), 309–342, 2021 | 1 | 2021 |
| Machine Translation for Professional Translators S Läubli University of Zurich, 2020 | | 2020 |
Martin VolkProfessor of Computational Linguistics, University of ZurichVerified email at cl.uzh.ch
