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
342020
Reference bias in monolingual machine translation evaluation
M Fomicheva, L Specia
54th Annual Meeting of the Association for Computational Linguistics, ACL …, 2016
262016
CobaltF: a fluent metric for MT evaluation
M Fomicheva, N Bel Rafecas, L Specia, I da Cunha Fanego, A Malinovsiy
The 54th Annual Meeting of the Association for Computational Linguistics …, 2016
102016
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
82020
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
82020
Multi-hypothesis machine translation evaluation
M Fomicheva, L Specia, F Guzmán
Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020
82020
Neutralizing the effect of translation shifts on automatic machine translation evaluation
M Fomicheva, N Bel, I da Cunha
International Conference on Intelligent Text Processing and Computational …, 2015
72015
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
Taking MT evaluation metrics to extremes: Beyond correlation with human judgments
M Fomicheva, L Specia
Computational Linguistics 45 (3), 515-558, 2019
52019
Using contextual information for machine translation evaluation
M Fomicheva, N Bel
Proceedings of the Tenth International Conference on Language Resources and …, 2016
52016
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
52015
La estructura discursiva como criterio de evaluación de traducciones automáticas: una primera aproximación
M Fomicheva, I da Cunha, G Sierra
Empiricism and analytical tools for 21 century applied linguistics: selected …, 2012
32012
Translation error detection as rationale extraction
M Fomicheva, L Specia, N Aletras
arXiv preprint arXiv:2108.12197, 2021
22021
The Role of human reference translation in machine translation evaluation
M Fomicheva
Universitat Pompeu Fabra, 2017
22017
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
12021
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
12020
MAJE submission to the WMT2018 shared task on parallel corpus filtering
M Fomicheva, J González-Rubio
Proceedings of the Third Conference on Machine Translation: Shared Task …, 2018
12018
USFD at SemEval-2016 Task 1: Putting different State-of-the-Arts into a Box
A Aker, F Blain, A Duque, M Fomicheva, J Seva, K Shah, D Beck
Proceedings of the 10th International Workshop on Semantic Evaluation …, 2016
12016
Análisis lingüístico de la traducción automática para su evaluación
MV Fomicheva
MX, 2012
12012
deepQuest-py: large and distilled models for quality estimation
F Alva-Manchego, A Obamuyide, A Gajbhiye, F Blain, M Fomicheva, ...
Association for Computational Linguistics, 2021
2021
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Articles 1–20