| Neural machine translation decoding with terminology constraints E Hasler, A De Gispert, G Iglesias, B Byrne arXiv preprint arXiv:1805.03750, 2018 | 121 | 2018 |
| Multilingual image description with neural sequence models D Elliott, S Frank, E Hasler arXiv preprint arXiv:1510.04709, 2015 | 111 | 2015 |
| Syntactically guided neural machine translation F Stahlberg, E Hasler, A Waite, B Byrne arXiv preprint arXiv:1605.04569, 2016 | 87 | 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 | 55 | 2017 |
| Margin Infused Relaxed Algorithm for Moses. E Hasler, B Haddow, P Koehn Prague Bull. Math. Linguistics 96, 69-78, 2011 | 53 | 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 | 49 | 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 | 40 | 2017 |
| 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 | 39 | 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 | 38 | 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 | 32 | 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 | 23 | 2017 |
| A Comparison of Neural Models for Word Ordering E Hasler, F Stahlberg, M Tomalin, A de Gispert, B Byrne Proceedings of INLG, 2017 | 21 | 2017 |
| Dynamic topic adaptation for smt using distributional profiles E Hasler, B Haddow, P Koehn Proceedings of the Ninth Workshop on Statistical Machine Translation, 445-456, 2014 | 21 | 2014 |
| 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 | 16 | 2012 |
| Automatic evaluation and analysis of idioms in neural machine translation C Baziotis, P Mathur, E Hasler arXiv preprint arXiv:2210.04545, 2022 | 13 | 2022 |
| Combining domain and topic adaptation for SMT E Hasler, B Haddow, P Koehn Proceedings of AMTA 2014, 139-151, 2014 | 11 | 2014 |
| The edit distance transducer in action: The University of Cambridge English-German system at WMT16 F Stahlberg, E Hasler, B Byrne arXiv preprint arXiv:1606.04963, 2016 | 10 | 2016 |
| The devil is in the details: on the pitfalls of vocabulary selection in neural machine translation T Domhan, E Hasler, K Tran, S Trenous, B Byrne, F Hieber arXiv preprint arXiv:2205.06618, 2022 | 9 | 2022 |
