| Syntactically guided neural machine translation F Stahlberg, E Hasler, A Waite, B Byrne The 54th Annual Meeting of the Association for Computational Linguistics, 299, 2016 | 65 | 2016 |
| Simple fusion: Return of the language model F Stahlberg, J Cross, V Stoyanov arXiv preprint arXiv:1809.00125, 2018 | 28 | 2018 |
| Word segmentation through cross-lingual word-to-phoneme alignment F Stahlberg, T Schlippe, S Vogel, T Schultz Spoken Language Technology Workshop (SLT), 85-90, 2012 | 28 | 2012 |
| The qcri recognition system for handwritten arabic F Stahlberg, S Vogel International Conference on Image Analysis and Processing, 276-286, 2015 | 25 | 2015 |
| Neural models of text normalization for speech applications H Zhang, R Sproat, AH Ng, F Stahlberg, X Peng, K Gorman, B Roark Computational Linguistics 45 (2), 293-337, 2019 | 23 | 2019 |
| Neural machine translation by minimising the Bayes-risk with respect to syntactic translation lattices F Stahlberg, A de Gispert, E Hasler, B Byrne arXiv preprint arXiv:1612.03791, 2016 | 23 | 2016 |
| On NMT Search Errors and Model Errors: Cat Got Your Tongue? F Stahlberg, B Byrne arXiv preprint arXiv:1908.10090, 2019 | 22 | 2019 |
| Multi-representation ensembles and delayed SGD updates improve syntax-based NMT D Saunders, F Stahlberg, A De Gispert, B Byrne arXiv preprint arXiv:1805.00456, 2018 | 19 | 2018 |
| 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 | 18 | 2017 |
| 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 | 18 | 2017 |
| The University of Cambridge's Machine Translation Systems for WMT18 F Stahlberg, A de Gispert, B Byrne arXiv preprint arXiv:1808.09465, 2018 | 17 | 2018 |
| Neural grammatical error correction with finite state transducers F Stahlberg, C Bryant, B Byrne arXiv preprint arXiv:1903.10625, 2019 | 14 | 2019 |
| Towards automatic speech recognition without pronunciation dictionary, transcribed speech and text resources in the target language using cross-lingual word-to-phoneme alignment F Stahlberg, T Schlippe, S Vogel, T Schultz Spoken Language Technologies for Under-Resourced Languages, 2014 | 14 | 2014 |
| An operation sequence model for explainable neural machine translation F Stahlberg, D Saunders, B Byrne arXiv preprint arXiv:1808.09688, 2018 | 13 | 2018 |
| Domain adaptive inference for neural machine translation D Saunders, F Stahlberg, A de Gispert, B Byrne arXiv preprint arXiv:1906.00408, 2019 | 12* | 2019 |
| Detecting dense foreground stripes in Arabic handwriting for accurate baseline positioning F Stahlberg, S Vogel 2015 13th International Conference on Document Analysis and Recognition …, 2015 | 12 | 2015 |
| Pronunciation extraction from phoneme sequences through cross-lingual word-to-phoneme alignment F Stahlberg, T Schlippe, S Vogel, T Schultz International Conference on Statistical Language and Speech Processing, 260-272, 2013 | 12 | 2013 |
| A comparison of neural models for word ordering E Hasler, F Stahlberg, M Tomalin, A de Gispert, B Byrne arXiv preprint arXiv:1708.01809, 2017 | 11* | 2017 |
| Unfolding and shrinking neural machine translation ensembles F Stahlberg, B Byrne arXiv preprint arXiv:1704.03279, 2017 | 10 | 2017 |
| UCAM Biomedical translation at WMT19: Transfer learning multi-domain ensembles D Saunders, F Stahlberg, B Byrne arXiv preprint arXiv:1906.05786, 2019 | 9 | 2019 |
Bill ByrneProfessor in Information Engineering, Cambridge UniversityVerified email at eng.cam.ac.uk
