| Dynet: The dynamic neural network toolkit G Neubig, C Dyer, Y Goldberg, A Matthews, W Ammar, A Anastasopoulos, ... arXiv preprint arXiv:1701.03980, 2017 | 358* | 2017 |
| 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 | 96 | 2016 |
| Tied multitask learning for neural speech translation A Anastasopoulos, D Chiang arXiv preprint arXiv:1802.06655, 2018 | 83 | 2018 |
| 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 | 38 | 2019 |
| Investigating meta-learning algorithms for low-resource natural language understanding tasks ZY Dou, K Yu, A Anastasopoulos arXiv preprint arXiv:1908.10423, 2019 | 35 | 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 | 33 | 2019 |
| 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 | 29 | 2018 |
| Pushing the limits of low-resource morphological inflection A Anastasopoulos, G Neubig arXiv preprint arXiv:1908.05838, 2019 | 28 | 2019 |
| Generalized data augmentation for low-resource translation M Xia, X Kong, A Anastasopoulos, G Neubig arXiv preprint arXiv:1906.03785, 2019 | 22 | 2019 |
| 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 | 22 | 2016 |
| 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 | 20 | 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 | 20 | 2014 |
| 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 | 16 | 2020 |
| Leveraging translations for speech transcription in low-resource settings A Anastasopoulos, D Chiang arXiv preprint arXiv:1803.08991, 2018 | 16 | 2018 |
| A case study on using speech-to-translation alignments for language documentation A Anastasopoulos, D Chiang arXiv preprint arXiv:1702.04372, 2017 | 15 | 2017 |
| Improving robustness of neural machine translation with multi-task learning S Zhou, X Zeng, Y Zhou, A Anastasopoulos, G Neubig Proceedings of the Fourth Conference on Machine Translation (Volume 2 …, 2019 | 14 | 2019 |
| 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 | 12 | 2020 |
| Neural machine translation of text from non-native speakers A Anastasopoulos, A Lui, T Nguyen, D Chiang arXiv preprint arXiv:1808.06267, 2018 | 12 | 2018 |
| Documentation and analysis of an endangered language: aspects of the grammar of Griko M Lekakou, V Baldiserra, A Anastasopoulos University of Ioannina (v. sito web http://griko. project. uoi. gr/, ultimo …, 2013 | 12 | 2013 |
| Unsupervised domain adaptation for neural machine translation with domain-aware feature embeddings ZY Dou, J Hu, A Anastasopoulos, G Neubig arXiv preprint arXiv:1908.10430, 2019 | 11 | 2019 |
Graham NeubigAssociate Professor of Computer Science, Carnegie Mellon UniversityVerified email at cs.cmu.edu
