Alberto Poncelas
Alberto Poncelas
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Zitiert von
Zitiert von
Investigating Backtranslation in Neural Machine Translation
PP Alberto Poncelas, Dimitar Shterionov, Andy Way, Gideon Maillette de Buy ...
SMT versus NMT: Preliminary comparisons for Irish
M Dowling, T Lynn, A Poncelas, A Way
Association for Machine Translation in the Americas (AMTA), 2018
Applying n-gram alignment entropy to improve feature decay algorithms
A Poncelas, GM de Buy Wenniger, A Way
The Prague Bulletin of Mathematical Linguistics 108 (1), 245-256, 2017
Extracting in-domain training corpora for neural machine translation using data selection methods
CC Silva, CH Liu, A Poncelas, A Way
Proceedings of the Third Conference on Machine Translation: Research Papers …, 2018
Feature decay algorithms for neural machine translation
A Poncelas, G Maillette de Buy Wenniger, A Way
European Association for Machine Translation, 2018
Extending feature decay algorithms using alignment entropy
A Poncelas, A Way, A Toral
International Workshop on Future and Emerging Trends in Language Technology …, 2016
The adapt system description for the iwslt 2018 basque to english translation task
A Poncelas, A Way, K Sarasola
arXiv preprint arXiv:1811.05909, 2018
IJCNLP-2017 task 4: customer feedback analysis
CH Liu, Y Moriya, A Poncelas, D Groves
Proceedings of the IJCNLP 2017, Shared Tasks, 26-33, 2017
Adaptation of machine translation models with back-translated data using transductive data selection methods
A Poncelas, GMB Wenniger, A Way
arXiv preprint arXiv:1906.07808, 2019
Data selection with feature decay algorithms using an approximated target side
A Poncelas, GMB Wenniger, A Way
arXiv preprint arXiv:1811.03039, 2018
Combining SMT and NMT back-translated data for efficient NMT
A Poncelas, M Popovic, D Shterionov, GMB Wenniger, A Way
arXiv preprint arXiv:1909.03750, 2019
Selecting Artificially-Generated Sentences for Fine-Tuning Neural Machine Translation
A Poncelas, A Way
arXiv preprint arXiv:1909.12016, 2019
Understanding meanings in multilingual customer feedback
CH Liu, D Groves, A Hayakawa, A Poncelas, Q Liu
arXiv preprint arXiv:1806.01694, 2018
Transductive data-selection algorithms for fine-tuning neural machine translation
A Poncelas, GMB Wenniger, A Way
arXiv preprint arXiv:1908.09532, 2019
Adapting NMT to caption translation in Wikimedia Commons for low-resource languages
A Poncelas, K Sarasola Gabiola, M Dowling, A Way, G Labaka Intxauspe, ...
Sociedad Española para el Procesamiento del Lenguaje Natural, 2019
Rapid development of competitive translation engines for access to multilingual covid-19 information
A Way, R Haque, G Xie, F Gaspari, M Popović, A Poncelas
Informatics 7 (2), 19, 2020
Facilitating Access to Multilingual COVID-19 Information via Neural Machine Translation
A Way, R Haque, G Xie, F Gaspari, M Popovic, A Poncelas
arXiv preprint arXiv:2005.00283, 2020
ABI Neural Ensemble Model for Gender Prediction Adapt Bar-Ilan Submission for the CLIN29 Shared Task on Gender Prediction
E Vanmassenhove, A Moryossef, A Poncelas, A Way, D Shterionov
arXiv preprint arXiv:1902.08856, 2019
Improving Transductive Data Selection Algorithms for Machine Translation
A Poncelas
PhD Thesis, Dublin City University, 2019
Selecting Backtranslated Data from Multiple Sources for Improved Neural Machine Translation
X Soto, D Shterionov, A Poncelas, A Way
arXiv preprint arXiv:2005.00308, 2020
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