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Miguel Domingo
Miguel Domingo
Ph.D. researcher at PRHLT Research Center from Universidad Politécnica de Valencia
Verified email at prhlt.upv.es - Homepage
Title
Cited by
Cited by
Year
Interactive neural machine translation
Á Peris, M Domingo, F Casacuberta
Computer Speech & Language 45, 201-220, 2017
992017
How much does tokenization affect neural machine translation?
M Domingo, M Garcıa-Martınez, A Helle, F Casacuberta, M Herranz
arXiv preprint arXiv:1812.08621, 2018
462018
The CLIN27 shared task: Translating historical text to contemporary language for improving automatic linguistic annotation
ETK Sang, M Bollmann, R Boschker, F Casacuberta, F Dietz, S Dipper, ...
Computational Linguistics in the Netherlands Journal 7, 53-64, 2017
282017
Segment-based interactive-predictive machine translation
M Domingo, A Peris, F Casacuberta
Machine Translation 31, 163-185, 2017
272017
Spelling normalization of historical documents by using a machine translation approach
M Domingo, F Casacuberta
European Association for Machine Translation, 2018
142018
How much does tokenization affect neural machine translation?
M Domingo, M García-Martínez, A Helle, F Casacuberta, M Herranz
International Conference on Computational Linguistics and Intelligent Text …, 2019
122019
Historical documents modernization
M Domingo, M Chinea-Rios, F Casacuberta
The Prague Bulletin of Mathematical Linguistics 108 (1), 295, 2017
122017
Interactive-Predictive Translation based on Multiple Word-Segments
M DOMINGO, A PERIS, F CASACUBERTA
Annual Conference of the European Association for Machine Translation, 282--291, 2016
122016
Incremental adaptation of NMT for professional post-editors: A user study
M Domingo, M García-Martínez, A Peris, A Helle, A Estela, L Bié, ...
arXiv preprint arXiv:1906.08996, 2019
112019
A Machine Translation Approach for Modernizing Historical Documents Using Backtranslation
M Domingo, F Casacuberta
Proceedings of the 15th International Conference on Spoken Language …, 2018
112018
Modernizing historical documents: A user study
M Domingo, F Casacuberta
Pattern Recognition Letters 133, 151-157, 2020
82020
Demonstration of a neural machine translation system with online learning for translators
M Domingo, M García-Martínez, A Estela, L Bié, A Helle, A Peris, ...
arXiv preprint arXiv:1906.09000, 2019
62019
The Covid-19 MLIA@ Eval initiative: Overview of the machine translation task
F Casacuberta, A Ceausu, K Choukri, M Deligiannis, M Domingo, ...
52021
How much does tokenization affect neural machine translation? arXiv e-prints
M Domingo, M Garcıa-Martınez, A Helle, F Casacuberta, M Herranz
arXiv preprint arXiv:1812.08621, 2018
52018
PRHLT’s Submission to WLAC 2023
Á Navarro, M Domingo, F Casacuberta
Proceedings of the Eighth Conference on Machine Translation, 877-881, 2023
42023
A user study of the incremental learning in NMT
M Domingo, M García-Martínez, Á Peris, A Helle, A Estela, L Bié, ...
Proceedings of the 22nd Annual Conference of the European Association for …, 2020
42020
Enriching character-based neural machine translation with modern documents for achieving an orthography consistency in historical documents
M Domingo, F Casacuberta
New Trends in Image Analysis and Processing–ICIAP 2019: ICIAP International …, 2019
42019
An interactive machine translation framework for modernizing the language of historical documents
M Domingo, F Casacuberta
Iberian Conference on Pattern Recognition and Image Analysis, 41-53, 2022
22022
Interactive machine translation for the language modernization and spelling normalization of historical documents
M Domingo, F Casacuberta
Pattern Analysis and Applications 26 (4), 1601-1614, 2023
12023
Findings of the Covid-19 MLIA Machine Translation Task
F Casacuberta, A Ceausu, K Choukri, M Deligiannis, M Domingo, ...
arXiv preprint arXiv:2211.07465, 2022
12022
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