Investigating Backtranslation in Neural Machine Translation PP Alberto Poncelas, Dimitar Shterionov, Andy Way, Gideon Maillette de Buy ... | 213* | 2018 |
SMT versus NMT: Preliminary comparisons for Irish M Dowling, T Lynn, A Poncelas, A Way Association for Machine Translation in the Americas (AMTA), 2018 | 63 | 2018 |
Extracting in-domain training corpora for neural machine translation using data selection methods C Cruz Silva, CH Liu, A Poncelas, A Way Association for Computational Linguistics, 2018 | 33 | 2018 |
The impact of indirect machine translation on sentiment classification A Poncelas, P Lohar, A Way, J Hadley arXiv preprint arXiv:2008.11257, 2020 | 23 | 2020 |
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 | 22 | 2020 |
Combining SMT and NMT back-translated data for efficient NMT A Poncelas, M Popovic, D Shterionov, GMDB Wenniger, A Way arXiv preprint arXiv:1909.03750, 2019 | 21 | 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 | 20 | 2020 |
Feature decay algorithms for neural machine translation A Poncelas, G Maillette de Buy Wenniger, A Way European Association for Machine Translation, 2018 | 20 | 2018 |
Adaptation of machine translation models with back-translated data using transductive data selection methods A Poncelas, GMB Wenniger, A Way International Conference on Computational Linguistics and Intelligent Text …, 2019 | 18 | 2019 |
A tool for facilitating ocr postediting in historical documents A Poncelas, M Aboomar, J Buts, J Hadley, A Way arXiv preprint arXiv:2004.11471, 2020 | 17 | 2020 |
Data selection with feature decay algorithms using an approximated target side A Poncelas, GMB Wenniger, A Way arXiv preprint arXiv:1811.03039, 2018 | 16* | 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 | 14* | 2017 |
Applying n-gram alignment entropy to improve feature decay algorithms A Poncelas, G Maillette de Buy Wenniger, A Way The Prague Bulletin of Mathematical Linguistics, 245-256, 2017 | 14 | 2017 |
Extending feature decay algorithms using alignment entropy A Poncelas, A Way, A Toral Future and Emerging Trends in Language Technology. Machine Learning and Big …, 2017 | 14 | 2017 |
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 | 13 | 2018 |
Selecting artificially-generated sentences for fine-tuning neural machine translation A Poncelas, A Way arXiv preprint arXiv:1909.12016, 2019 | 12 | 2019 |
Neural machine translation for translating into Croatian and Serbian M Popović, A Poncelas, M Brkić Bakarić, A Way International Committee on Computational Linguistics (ICCL), 2020 | 11 | 2020 |
Transductive data-selection algorithms for fine-tuning neural machine translation A Poncelas, GMB Wenniger, A Way arXiv preprint arXiv:1908.09532, 2019 | 9 | 2019 |
Multiple segmentations of Thai sentences for neural machine translation A Poncelas, W Pidchamook, CH Liu, J Hadley, A Way arXiv preprint arXiv:2004.11472, 2020 | 7 | 2020 |
Understanding meanings in multilingual customer feedback CH Liu, D Groves, A Hayakawa, A Poncelas, Q Liu arXiv preprint arXiv:1806.01694, 2018 | 7 | 2018 |