CoNLL 2018 shared task: Multilingual parsing from raw text to universal dependencies D Zeman, J Hajic, M Popel, M Potthast, M Straka, F Ginter, J Nivre, ... Proceedings of the CoNLL 2018 Shared Task: Multilingual parsing from raw …, 2018 | 681 | 2018 |
Universal Dependencies 1.2 J Nivre, ® Agiæ, MJ Aranzabe, M Asahara, A Atutxa, M Ballesteros, J Bauer, ... Universal Dependencies Consortium, 2015 | 227 | 2015 |
A linguistic evaluation of rule-based, phrase-based, and neural MT engines A Burchardt, V Macketanz, J Dehdari, G Heigold, P Jan-Thorsten, ... The Prague bulletin of mathematical linguistics 108 (1), 159, 2017 | 111 | 2017 |
Machine translation: Phrase-based, rule-based and neural approaches with linguistic evaluation V Macketanz, E Avramidis, A Burchardt, J Helcl, A Srivastava Cybernetics and Information Technologies 17 (2), 28-43, 2017 | 43 | 2017 |
Fine-grained evaluation of German-English machine translation based on a test suite V Macketanz, E Avramidis, A Burchardt, H Uszkoreit arXiv preprint arXiv:1910.07460, 2019 | 36 | 2019 |
Linguistic evaluation of German-English machine translation using a test suite E Avramidis, V Macketanz, U Strohriegel, H Uszkoreit arXiv preprint arXiv:1910.07457, 2019 | 34 | 2019 |
Fine-grained evaluation of quality estimation for machine translation based on a linguistically motivated test suite E Avramidis, V Macketanz, A Lommel, H Uszkoreit Proceedings of the AMTA 2018 Workshop on Translation Quality Estimation and …, 2018 | 21 | 2018 |
Fine-grained linguistic evaluation for state-of-the-art machine translation E Avramidis, V Macketanz, U Strohriegel, A Burchardt, S Möller Proceedings of the Fifth Conference on Machine Translation, 346-356, 2020 | 20 | 2020 |
Can out-of-the-box NMT Beat a Domain-trained Moses on Technical Data A Beyer, V Macketanz, A Burchardt, P Williams 20th Annual Conference of the European Association for Machine Translation, 2017 | 19 | 2017 |
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 | 16 | 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 | 15 | 2021 |
Linguistically motivated evaluation of machine translation metrics based on a challenge set E Avramidis, V Macketanz Proceedings of the Seventh Conference on Machine Translation (WMT), 514-529, 2022 | 14 | 2022 |
Deeper machine translation and evaluation for German E Avramidis, V Macketanz, A Burchardt, J Helcl, H Uszkoreit Proceedings of the 2nd Deep Machine Translation Workshop, 29-38, 2016 | 11 | 2016 |
DFKI’s system for WMT16 IT-domain task, including analysis of systematic errors E Avramidis, A Burchardt, V Macketanz, A Srivastava Proceedings of the First Conference on Machine Translation: Volume 2, Shared …, 2016 | 11 | 2016 |
Renlong Ai, Shushen Manakhimova, Ursula Strohriegel, Sebastian Möller, and Hans Uszkoreit. 2022. A linguistically motivated test suite to semi-automatically evaluate German … V Macketanz, E Avramidis, A Burchardt, H Wang Proceedings of the Language Resources and Evaluation Conference, 936-947, 0 | 10 | |
Train, sort, explain: Learning to diagnose translation models R Schwarzenberg, D Harbecke, V Macketanz, E Avramidis, S Möller arXiv preprint arXiv:1903.12017, 2019 | 9 | 2019 |
Renlong Ai, Aljoscha Burchardt, and Hans Uszkoreit. 2018a. TQ-AutoTest–an automated test suite for (machine) translation quality V Macketanz Proceedings of the Eleventh International Conference on Language Resources …, 0 | 9 | |
A new deal for translation quality A Burchardt, A Lommel, V Macketanz Universal access in the information society 20, 701-715, 2021 | 8 | 2021 |
TQ-AutoTest–An Automated Test Suite for (Machine) Translation Quality V Macketanz, R Ai, A Burchardt, H Uszkoreit Proceedings of the Eleventh International Conference on Language Resources …, 2018 | 8 | 2018 |
TQ-AUTOTEST: Novel analytical quality measure confirms that DeepL is better than Google Translate V Macketanz, A Burchardt, H Uszkoreit Tech. rep. The Globalization and Localization Association (GALA). url: https …, 2018 | 8 | 2018 |