Follow
Marina Fomicheva
Marina Fomicheva
University of Sheffield, Department of Computer Science
Verified email at sheffield.ac.uk
Title
Cited by
Cited by
Year
Unsupervised quality estimation for neural machine translation
M Fomicheva, S Sun, L Yankovskaya, F Blain, F Guzmán, M Fishel, ...
Transactions of the Association for Computational Linguistics 8, 539-555, 2020
1582020
Findings of the WMT 2020 Shared Task on Quality Estimation
L Specia, F Blain, M Fomicheva, E Fonseca, V Chaudhary, F Guzmán, ...
Proceedings of the Fifth Conference on Machine Translation, 743–764, 2020
1462020
Findings of the WMT 2022 shared task on quality estimation
C Zerva, F Blain, R Rei, P Lertvittayakumjorn, JGC De Souza, S Eger, ...
Proceedings of the Seventh Conference on Machine Translation (WMT), 69-99, 2022
692022
MLQE-PE: A multilingual quality estimation and post-editing dataset
M Fomicheva, S Sun, E Fonseca, C Zerva, F Blain, V Chaudhary, ...
arXiv preprint arXiv:2010.04480, 2020
632020
Reference bias in monolingual machine translation evaluation
M Fomicheva, L Specia
54th Annual Meeting of the Association for Computational Linguistics, ACL …, 2016
392016
The Eval4NLP shared task on explainable quality estimation: Overview and results
M Fomicheva, P Lertvittayakumjorn, W Zhao, S Eger, Y Gao
arXiv preprint arXiv:2110.04392, 2021
362021
Taking MT evaluation metrics to extremes: Beyond correlation with human judgments
M Fomicheva, L Specia
Computational Linguistics 45 (3), 515-558, 2019
362019
BERGAMOT-LATTE submissions for the WMT20 quality estimation shared task
M Fomicheva, S Sun, L Yankovskaya, F Blain, V Chaudhary, M Fishel, ...
Association for Computational Linguistics, 2020
262020
Towards explainable evaluation metrics for natural language generation
C Leiter, P Lertvittayakumjorn, M Fomicheva, W Zhao, Y Gao, S Eger
arXiv preprint arXiv:2203.11131, 2022
182022
Bias mitigation in machine translation quality estimation
H Behnke, M Fomicheva, L Specia
Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022
172022
Multi-hypothesis machine translation evaluation
M Fomicheva, L Specia, F Guzmán
Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020
172020
Translation error detection as rationale extraction
M Fomicheva, L Specia, N Aletras
arXiv preprint arXiv:2108.12197, 2021
152021
CobaltF: a fluent metric for MT evaluation
M Fomicheva, N Bel Rafecas, L Specia, I da Cunha Fanego, ...
The 54th Annual Meeting of the Association for Computational Linguistics …, 2016
102016
Neutralizing the effect of translation shifts on automatic machine translation evaluation
M Fomicheva, N Bel, I da Cunha
Computational Linguistics and Intelligent Text Processing: 16th …, 2015
92015
Towards explainable evaluation metrics for machine translation
C Leiter, P Lertvittayakumjorn, M Fomicheva, W Zhao, Y Gao, S Eger
Journal of Machine Learning Research 25 (75), 1-49, 2024
82024
Using contextual information for machine translation evaluation
M Fomicheva, N Bel
Proceedings of the Tenth International Conference on Language Resources and …, 2016
62016
UPF-cobalt submission to WMT15 metrics task
M Fomicheva, N Bel Rafecas, I da Cunha Fanego, A Malinovskiy
Bojar O, Chatterjee R, Federmann C, Haddow B, Hokamp C, Huck M, Logacheva V …, 2015
62015
Boosting the creation of a treebank.
B Arias, N Bel, M Lorente, M Marimón, A Mila, J Vivaldi, M Padró, ...
LREC, 775-781, 2014
62014
An exploratory study on multilingual quality estimation
S Sun, M Fomicheva, F Blain, V Chaudhary, A El-Kishky, A Renduchintala, ...
Association for Computational Linguistics, 2020
52020
Pushing the right buttons: Adversarial evaluation of quality estimation
D Kanojia, M Fomicheva, T Ranasinghe, F Blain, C Orăsan, L Specia
arXiv preprint arXiv:2109.10859, 2021
42021
The system can't perform the operation now. Try again later.
Articles 1–20