| Neural machine translation decoding with terminology constraints E Hasler, A De Gispert, G Iglesias, B Byrne arXiv preprint arXiv:1805.03750, 2018 | 129 | 2018 |
| Multilingual image description with neural sequence models D Elliott, S Frank, E Hasler arXiv preprint arXiv:1510.04709, 2015 | 114 | 2015 |
| Syntactically guided neural machine translation F Stahlberg, E Hasler, A Waite, B Byrne arXiv preprint arXiv:1605.04569, 2016 | 86 | 2016 |
| Source Sentence Simplification for Statistical Machine Translation E Hasler, A de Gispert, F Stahlberg, A Waite, B Byrne Computer Speech & Language 45, 221-235, 2017 | 60 | 2017 |
| Margin Infused Relaxed Algorithm for Moses. E Hasler, B Haddow, P Koehn Prague Bull. Math. Linguistics 96, 69-78, 2011 | 56 | 2011 |
| Dynamic topic adaptation for phrase-based mt E Hasler, P Blunsom, P Koehn, B Haddow 14th Conference of the European Chapter of the Association for Computational …, 2014 | 51 | 2014 |
| Neural Machine Translation by Minimising the Bayes-risk with Respect to Syntactic Translation Lattices F Stahlberg, A de Gispert, E Hasler, B Byrne Proceedings of the 15th Conference of the European Chapter of the …, 2017 | 44 | 2017 |
| Automatic evaluation and analysis of idioms in neural machine translation C Baziotis, P Mathur, E Hasler Proceedings of the 17th Conference of the European Chapter of the …, 2023 | 41 | 2023 |
| Multi-engine machine translation with an open-source SMT decoder Y Chen, A Eisele, C Federmann, E Hasler, M Jellinghaus, S Theison Proceedings of the Second Workshop on Statistical Machine Translation, 193-196, 2007 | 40 | 2007 |
| Sparse lexicalised features and topic adaptation for SMT E Hasler, B Haddow, P Koehn Proceedings of the 9th International Workshop on Spoken Language Translation …, 2012 | 37 | 2012 |
| Controlling Japanese honorifics in English-to-Japanese neural machine translation W Feely, E Hasler, A de Gispert Proceedings of the 6th Workshop on Asian Translation, 45-53, 2019 | 34 | 2019 |
| Hallucinated n-best lists for discriminative language modeling K Sagae, M Lehr, E Prud'hommeaux, P Xu, N Glenn, D Karakos, ... 2012 IEEE International Conference on Acoustics, Speech and Signal …, 2012 | 31 | 2012 |
| SGNMT--A Flexible NMT Decoding Platform for Quick Prototyping of New Models and Search Strategies F Stahlberg, E Hasler, D Saunders, B Byrne arXiv preprint arXiv:1707.06885, 2017 | 24 | 2017 |
| Dynamic topic adaptation for SMT using distributional profiles E Hasler, B Haddow, P Koehn Ninth Workshop on Statistical Machine Translation, 445-456, 2014 | 21 | 2014 |
| The fine-tuning paradox: Boosting translation quality without sacrificing LLM abilities D Stap, E Hasler, B Byrne, C Monz, KM Tran Proceedings of the 62nd Annual Meeting of the Association for Computational …, 2024 | 20 | 2024 |
| The UEDIN system for the IWSLT 2012 evaluation E Hasler, P Bell, A Ghoshal, B Haddow, P Koehn, F McInnes, S Renals, ... Proc. International Workshop on Spoken Language Translation, 46-53, 2012 | 19 | 2012 |
| Semi-supervised discriminative language modeling for Turkish ASR A Celebi, H Sak, E Dikici, M Saraçlar, M Lehr, E Prud'hommeaux, P Xu, ... 2012 IEEE International Conference on Acoustics, Speech and Signal …, 2012 | 17 | 2012 |
| A preference-driven paradigm for enhanced translation with large language models D Zhu, S Trenous, X Shen, D Klakow, B Byrne, E Hasler arXiv preprint arXiv:2404.11288, 2024 | 16 | 2024 |
| A Comparison of Neural Models for Word Ordering E Hasler, F Stahlberg, M Tomalin, A de Gispert, B Byrne Proceedings of INLG, 2017 | 16 | 2017 |
| Analyzing the use of influence functions for instance-specific data filtering in neural machine translation TK Lam, E Hasler, F Hieber arXiv preprint arXiv:2210.13281, 2022 | 13 | 2022 |
