Follow
Vivien Macketanz
Vivien Macketanz
Verified email at dfki.de
Title
Cited by
Cited by
Year
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
5002018
Universal Dependencies 1.2
J Nivre, Ž Agić, MJ Aranzabe, M Asahara, A Atutxa, M Ballesteros, J Bauer, ...
Universal Dependencies Consortium, 2015
2372015
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
692017
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
222017
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
182019
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
182019
Can out-of-the-box NMT Beat a Domain-trained Moses on Technical Data
AM Beyer, V Macketanz, A Burchardt, P Williams
Proceedings of EAMT user studies and project/product descriptions, 41-46, 2017
112017
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
102016
Fine-grained linguistic evaluation for state-of-the-art machine translation
E Avramidis, V Macketanz, U Strohriegel, A Burchardt, S Möller
arXiv preprint arXiv:2010.06359, 2020
92020
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
92016
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
82018
Train, sort, explain: Learning to diagnose translation models
R Schwarzenberg, D Harbecke, V Macketanz, E Avramidis, S Möller
arXiv preprint arXiv:1903.12017, 2019
72019
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
62018
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
6
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
42021
A new deal for translation quality
A Burchardt, A Lommel, V Macketanz
Universal Access in the Information Society 20 (4), 701-715, 2021
32021
TQ-AUTOTEST: Novel analytical quality measure confirms that DeepL is better than Google Translate
V Macketanz, A Burchardt, H Uszkoreit
Technical report. The Globalization and Localization Association. https …, 2020
32020
Towards Deeper MT: Parallel Treebanks, Entity Linking, and Linguistic Evaluation
A Srivastava, V Macketanz, A Burchardt, E Avramidis
Proceedings of the Workshop on Deep Language Processing for Quality Machine …, 2016
22016
A Test Suite for the Evaluation of Portuguese-English Machine Translation
M Avelino, V Macketanz, E Avramidis, S Möller
International Conference on Computational Processing of the Portuguese …, 2022
12022
Observing the Learning Curve of NMT Systems With Regard to Linguistic Phenomena
P Stadler, V Macketanz, E Avramidis
Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021
12021
The system can't perform the operation now. Try again later.
Articles 1–20