| Lexical and Syntactic Diversity: Still Lost in Machine Translation? | Proceedings of the First Workshop on Style in GenAI-Translated Content (StyGenAI) |  | | 2026 | 14 | 121 |
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| Proceedings of Machine Translation Summit XX: Volume 1 | | | | 2025 | 51 | 159 |
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| Proceedings of Machine Translation Summit XX: Volume 2 | | | | 2025 | 65 | 3,175 |
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| Post-editors as Gatekeepers of Lexical and Syntactic Diversity: Comparative Analysis of Human Translation and Post-editing in Professional Settings | Proceedings of the 25th Annual Conference of the European Association for Machine Translation : Volume 1: Research And Implementations & Case Studies | | | 2024 | 242 | 416 |
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| Are post-editese features really universal? | HiT-IT 2023 | | | 2023 | 213 | 83 |
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| Studying Post-Editese in a Professional Context: A Pilot Study | Proceedings of the 23rd Annual Conference of the European Association for Machine Translation | | | 2022 | 360 | 474 |
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| Integrating Speech in Post-Editing (PE)-Comparison of two PE Interfaces | New Trends in Translation and Technology (NeTTT) | | | 2022 | 378 | 137 |
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| Source or target first? Comparison of two post-editing strategies with translation students | Journal of data mining and digital humanities | | | 2022 | 337 | 197 |
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| Advanced machine translation post-editing training for in-house professional translators | Colloque #AFFUMT : Former aux métiers de la traduction aujourd'hui et demain | | | 2021 | 318 | 64 |
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| Re-design of the Machine Translation Training Tool MT3 | 22nd Annual Conference of the European Association for Machine Translation (EAMT) | | | 2020 | 625 | 278 |
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| Differences between SMT and NMT Output - a Translators' Point of View | The Second Workshop on Human-Informed Translation and Interpreting Technology (HiT-IT 2019) | | | 2019 | 868 | 462 |
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| Statistical vs. Neural Machine Translation: A Comparison of MTH and DeepL at Swiss Post's Language Service | Proceedings of the 40th Conference Translating and the Computer | | | 2018 | 2,607 | 1,182 |
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| Traduction automatique statistique vs. neuronale : Comparaison de MTH et DeepL à La Poste Suisse | | | | 2018 | 2,210 | 3,141 |
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