| Dynet: The dynamic neural network toolkit G Neubig, C Dyer, Y Goldberg, A Matthews, W Ammar, A Anastasopoulos, ... arXiv preprint arXiv:1701.03980, 2017 | 398* | 2017 |
| Tied multitask learning for neural speech translation A Anastasopoulos, D Chiang arXiv preprint arXiv:1802.06655, 2018 | 130 | 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 | 125 | 2016 |
| 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 | 113 | 2019 |
| Investigating meta-learning algorithms for low-resource natural language understanding tasks ZY Dou, K Yu, A Anastasopoulos arXiv preprint arXiv:1908.10423, 2019 | 71 | 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 | 60 | 2020 |
| Generalized data augmentation for low-resource translation M Xia, X Kong, A Anastasopoulos, G Neubig arXiv preprint arXiv:1906.03785, 2019 | 54 | 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 | 53 | 2019 |
| Pushing the limits of low-resource morphological inflection A Anastasopoulos, G Neubig arXiv preprint arXiv:1908.05838, 2019 | 46 | 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 | 43 | 2020 |
| X-FACTR: Multilingual factual knowledge retrieval from pretrained language models Z Jiang, A Anastasopoulos, J Araki, H Ding, G Neubig arXiv preprint arXiv:2010.06189, 2020 | 40 | 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 | 38 | 2018 |
| 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 | 31 | 2022 |
| An unsupervised probability model for speech-to-translation alignment of low-resource languages A Anastasopoulos, D Chiang, L Duong arXiv preprint arXiv:1609.08139, 2016 | 30 | 2016 |
| 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 | 29 | 2020 |
| Tico-19: the translation initiative for covid-19 A Anastasopoulos, A Cattelan, ZY Dou, M Federico, C Federman, ... arXiv preprint arXiv:2007.01788, 2020 | 27 | 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 | 26 | 2020 |
| Dynamic data selection and weighting for iterative back-translation ZY Dou, A Anastasopoulos, G Neubig arXiv preprint arXiv:2004.03672, 2020 | 26 | 2020 |
| Adaptive quality estimation for machine translation M Turchi, A Anastasopoulos, JGC de Souza, M Negri Proceedings of the 52nd Annual Meeting of the Association for Computational …, 2014 | 25 | 2014 |
| Neural machine translation of text from non-native speakers A Anastasopoulos, A Lui, T Nguyen, D Chiang arXiv preprint arXiv:1808.06267, 2018 | 23 | 2018 |
Graham NeubigAssociate Professor of Computer Science, Carnegie Mellon UniversityVerified email at cs.cmu.edu
