Dynet: The dynamic neural network toolkit G Neubig, C Dyer, Y Goldberg, A Matthews, W Ammar, A Anastasopoulos, ... arXiv preprint arXiv:1701.03980, 2017 | 443* | 2017 |
Choosing transfer languages for cross-lingual learning YH Lin, CY Chen, J Lee, Z Li, Y Zhang, M Xia, S Rijhwani, J He, Z Zhang, ... arXiv preprint arXiv:1905.12688, 2019 | 221 | 2019 |
Tied multitask learning for neural speech translation A Anastasopoulos, D Chiang arXiv preprint arXiv:1802.06655, 2018 | 180 | 2018 |
An attentional model for speech translation without transcription L Duong, A Anastasopoulos, D Chiang, S Bird, T Cohn Proceedings of the 2016 conference of the North American chapter of the …, 2016 | 171 | 2016 |
Generalized data augmentation for low-resource translation M Xia, X Kong, A Anastasopoulos, G Neubig arXiv preprint arXiv:1906.03785, 2019 | 127 | 2019 |
Universal phone recognition with a multilingual allophone system X Li, S Dalmia, J Li, M Lee, P Littell, J Yao, A Anastasopoulos, ... ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 123 | 2020 |
When being unseen from mBERT is just the beginning: Handling new languages with multilingual language models B Muller, A Anastasopoulos, B Sagot, D Seddah arXiv preprint arXiv:2010.12858, 2020 | 122 | 2020 |
X-FACTR: Multilingual factual knowledge retrieval from pretrained language models Z Jiang, A Anastasopoulos, J Araki, H Ding, G Neubig Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 114 | 2020 |
Investigating meta-learning algorithms for low-resource natural language understanding tasks ZY Dou, K Yu, A Anastasopoulos arXiv preprint arXiv:1908.10423, 2019 | 114 | 2019 |
Systematic Inequalities in Language Technology Performance across the World's Languages D Blasi, A Anastasopoulos, G Neubig arXiv preprint arXiv:2110.06733, 2021 | 102 | 2021 |
Findings of the IWSLT 2022 Evaluation Campaign. A Anastasopoulos, L Barrault, L Bentivogli, MZ Boito, O Bojar, R Cattoni, ... Proceedings of the 19th International Conference on Spoken Language …, 2022 | 97 | 2022 |
TICO-19: the translation initiative for COvid-19 A Anastasopoulos, A Cattelan, ZY Dou, M Federico, C Federman, ... arXiv preprint arXiv:2007.01788, 2020 | 78 | 2020 |
Pushing the limits of low-resource morphological inflection A Anastasopoulos, G Neubig arXiv preprint arXiv:1908.05838, 2019 | 72 | 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 | 67 | 2019 |
SIGMORPHON 2020 shared task 0: Typologically diverse morphological inflection E Vylomova, J White, E Salesky, SJ Mielke, S Wu, E Ponti, RH Maudslay, ... arXiv preprint arXiv:2006.11572, 2020 | 58 | 2020 |
Optimizing data usage via differentiable rewards X Wang, H Pham, P Michel, A Anastasopoulos, J Carbonell, G Neubig International Conference on Machine Learning, 9983-9995, 2020 | 57 | 2020 |
Dynamic data selection and weighting for iterative back-translation ZY Dou, A Anastasopoulos, G Neubig arXiv preprint arXiv:2004.03672, 2020 | 55 | 2020 |
Freezing subnetworks to analyze domain adaptation in neural machine translation B Thompson, H Khayrallah, A Anastasopoulos, AD McCarthy, K Duh, ... arXiv preprint arXiv:1809.05218, 2018 | 52 | 2018 |
Language generation models can cause harm: So what can we do about it? an actionable survey S Kumar, V Balachandran, L Njoo, A Anastasopoulos, Y Tsvetkov arXiv preprint arXiv:2210.07700, 2022 | 49 | 2022 |
OCR post correction for endangered language texts S Rijhwani, A Anastasopoulos, G Neubig arXiv preprint arXiv:2011.05402, 2020 | 44 | 2020 |