| Ensemble Learning for Multi-Source Neural Machine Translation E Garmash, C Monz Coling, 2016 | 95 | 2016 |
| Dependency-based bilingual language models for reordering in statistical machine translation E Garmash, C Monz Proceedings of the 2014 Conference on Empirical Methods in Natural Language …, 2014 | 20 | 2014 |
| Bilingual structured language models for statistical machine translation E Garmash, C Monz Proceedings of the 2015 Conference on Empirical Methods in Natural Language …, 2015 | 7 | 2015 |
| Exploring the Effect of NULL Usage in Source Code E Garmash, A Cheshkov International Conference on Code Quality, 2021 | 1 | 2021 |
| Connecting degree and polarity: An artificial language learning study L Bylinina, A Tikhonov, E Garmash The 2023 Conference on Empirical Methods in Natural Language Processing, 2023 | | 2023 |
| Cem Mil Podcasts: A Spoken Portuguese Document Corpus for Multi-modal, Multi-lingual and Multi-dialect Information Access Research E Garmash, E Tanaka, A Clifton, J Correia, S Jat, W Zhu, R Jones, ... International Conference of the Cross-Language Evaluation Forum for European …, 2023 | | 2023 |
| Old BERT, New Tricks: Artificial Language Learning for Pre-Trained Language Models L Bylinina, A Tikhonov, E Garmash arXiv preprint arXiv:2109.06333, 2021 | | 2021 |
| Message from program committee SV Zykov 2021 International Conference on Code Quality, ICCQ 2021, 5-5, 2021 | | 2021 |
| Exploring the correspondence between languages for machine translation E Garmash | | 2017 |
| Antal, Gábor, 14 Bodden, Eric, 39 Cheshkov, Anton, 54 Dechev, Damian, 26 M Fadhel, R Ferenc, E Garmash, TE Gasiba, P Hegedus, S Hodzic, ... | | |
Christof MonzProfessor of Computer Science, University of AmsterdamVerified email at uva.nl
