| Linguistically Motivated Evaluation of the 2023 State-of-the-art Machine Translation: Can ChatGPT Outperform NMT? S Manakhimova, E Avramidis, V Macketanz, E Lapshinova-Koltunski, ... Proceedings of the Eighth Conference on Machine Translation, 224-245, 2023 | 20 | 2023 |
| Linguistic evaluation for the 2021 state-of-the-art machine translation systems for German to English and English to German V Macketanz, E Avramidis, S Manakhimova, S Möller Proceedings of the Sixth Conference on Machine Translation, 1059-1073, 2021 | 16 | 2021 |
| Challenging the state-of-the-art machine translation metrics from a linguistic perspective E Avramidis, S Manakhimova, V Macketanz, S Möller Proceedings of the Eighth Conference on Machine Translation, 713-729, 2023 | 5 | 2023 |
| Linguistically motivated evaluation of the 2022 state-of-the-art machine translation systems for three language directions V Macketanz, S Manakhimova, E Avramidis, E Lapshinova-Koltunski, ... Proceedings of the Seventh Conference on Machine Translation (WMT), 432-449, 2022 | 5 | 2022 |
| Occiglot at WMT24: European Open-source Large Language Models evaluated on Translation E Avramidis, A Grützner-Zahn, M Brack, P Schramowski, PO Suarez, ... Proceedings of the Ninth Conference on Machine Translation, 292-298, 2024 | 2 | 2024 |
| Machine Translation Metrics are better in evaluating Linguistic Errors on LLMs than on Encoder-Decoder Systems E Avramidis, S Manakhimova, V Macketanz, S Möller Proceedings of the Ninth Conference on Machine Translation, 517-528, 2024 | 1 | 2024 |
| Investigating the linguistic performance of large language models in machine translation S Manakhimova, V Macketanz, E Avramidis, E Lapshinova-Koltunski, ... Proceedings of the Ninth Conference on Machine Translation, 355-371, 2024 | 1 | 2024 |
| A linguistically motivated test suite to semi-automatically evaluate German–English machine translation output V Macketanz, E Avramidis, A Burchardt, H Wang, R Ai, S Manakhimova, ... Proceedings of the Thirteenth Language Resources and Evaluation Conference …, 2022 | 1 | 2022 |
| Linguistically motivated evaluation of the 2023 state-of-the-art machine translation: can GPT-4 outperform NMT S Manakhimova, E Avramidis, V Macketanz, E Lapshinova-Koltunski, ... Proceedings of the Eighth Conference on Machine Translation, Singapore, 224-245, 0 | 1 | |
