Juan Pino
Juan Pino
Verified email at cam.ac.uk
Cited by
Cited by
The flores evaluation datasets for low-resource machine translation: Nepali-english and sinhala-english
F Guzmán, PJ Chen, M Ott, J Pino, G Lample, P Koehn, V Chaudhary, ...
arXiv preprint arXiv:1902.01382, 2019
Deep learning inference in facebook data centers: Characterization, performance optimizations and hardware implications
J Park, M Naumov, P Basu, S Deng, A Kalaiah, D Khudia, J Law, P Malani, ...
arXiv preprint arXiv:1811.09886, 2018
Findings of the IWSLT 2020 Evaluation Campaign
E Ansari, A Axelrod, N Bach, O Bojar, R Cattoni, F Dalvi, N Durrani, ...
Proceedings of the 17th International Conference on Spoken Language …, 2020
On evaluation of adversarial perturbations for sequence-to-sequence models
P Michel, X Li, G Neubig, JM Pino
arXiv preprint arXiv:1903.06620, 2019
A selection strategy to improve cloze question quality
J Pino, M Heilman, M Eskenazi
Proceedings of the Workshop on Intelligent Tutoring Systems for Ill-Defined …, 2008
Retrieval of reading materials for vocabulary and reading practice
M Heilman, L Zhao, J Pino, M Eskenazi
Proceedings of the Third Workshop on Innovative Use of NLP for Building …, 2008
Monotonic multihead attention
X Ma, J Pino, J Cross, L Puzon, J Gu
arXiv preprint arXiv:1909.12406, 2019
Findings of the first shared task on machine translation robustness
X Li, P Michel, A Anastasopoulos, Y Belinkov, N Durrani, O Firat, P Koehn, ...
arXiv preprint arXiv:1906.11943, 2019
Findings of the WMT 2019 shared task on parallel corpus filtering for low-resource conditions
P Koehn, F Guzmán, V Chaudhary, J Pino
Proceedings of the Fourth Conference on Machine Translation (Volume 3 …, 2019
Fairseq S2T: Fast speech-to-text modeling with fairseq
C Wang, Y Tang, X Ma, A Wu, D Okhonko, J Pino
arXiv preprint arXiv:2010.05171, 2020
Semi-automatic generation of cloze question distractors effect of students’ l1
J Pino, M Eskenazi
International Workshop on Speech and Language Technology in Education, 2009
Language model personalization
JM Pino, Y Zhang, MG Eck
US Patent 10,002,125, 2018
Harnessing Indirect Training Data for End-to-End Automatic Speech Translation: Tricks of the Trade
J Pino, L Puzon, J Gu, X Ma, AD McCarthy, D Gopinath
arXiv preprint arXiv:1909.06515, 2019
Porting reap to european portuguese
L Marujo, J Lopes, N Mamede, I Trancoso, J Pino, M Eskenazi, J Baptista, ...
International Workshop on Speech and Language Technology in Education, 2009
Self-training for end-to-end speech translation
J Pino, Q Xu, X Ma, MJ Dousti, Y Tang
arXiv preprint arXiv:2006.02490, 2020
Voxpopuli: A large-scale multilingual speech corpus for representation learning, semi-supervised learning and interpretation
C Wang, M Rivičre, A Lee, A Wu, C Talnikar, D Haziza, M Williamson, ...
arXiv preprint arXiv:2101.00390, 2021
Covost 2 and massively multilingual speech-to-text translation
C Wang, A Wu, J Pino
arXiv preprint arXiv:2007.10310, 2020
Covost: A diverse multilingual speech-to-text translation corpus
C Wang, J Pino, A Wu, J Gu
arXiv preprint arXiv:2002.01320, 2020
Simulmt to simulst: Adapting simultaneous text translation to end-to-end simultaneous speech translation
X Ma, J Pino, P Koehn
arXiv preprint arXiv:2011.02048, 2020
Multilingual speech translation with efficient finetuning of pretrained models
X Li, C Wang, Y Tang, C Tran, Y Tang, J Pino, A Baevski, A Conneau, ...
arXiv preprint arXiv:2010.12829, 2020
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