| KenLM: Faster and smaller language model queries K Heafield Proceedings of the sixth workshop on statistical machine translation, 187-197, 2011 | 1047 | 2011 |
| Scalable modified Kneser-Ney language model estimation K Heafield, I Pouzyrevsky, JH Clark, P Koehn Proceedings of the 51st Annual Meeting of the Association for Computational …, 2013 | 503 | 2013 |
| Marian: Fast neural machine translation in C++ M Junczys-Dowmunt, R Grundkiewicz, T Dwojak, H Hoang, K Heafield, ... Proceedings of ACL 2018, System Demonstrations, 2018 | 248 | 2018 |
| Sparse communication for distributed gradient descent AF Aji, K Heafield Proceedings of the 2017 Conference on Empirical Methods in Natural Language …, 2017 | 235 | 2017 |
| Mining business topics in source code using latent dirichlet allocation G Maskeri, S Sarkar, K Heafield Proceedings of the 1st India software engineering conference, 113-120, 2008 | 219 | 2008 |
| The university of edinburgh's neural MT systems for WMT17 R Sennrich, A Birch, A Currey, U Germann, B Haddow, K Heafield, ... Proceedings of the Second Conference on Machine Translation, 2017 | 159 | 2017 |
| N-gram Counts and Language Models from the Common Crawl. C Buck, K Heafield, B Van Ooyen LREC 2, 4, 2014 | 134 | 2014 |
| Copied monolingual data improves low-resource neural machine translation A Currey, AV Miceli-Barone, K Heafield Proceedings of the Second Conference on Machine Translation, 148-156, 2017 | 114 | 2017 |
| Approaching neural grammatical error correction as a low-resource machine translation task M Junczys-Dowmunt, R Grundkiewicz, S Guha, K Heafield Proceedings of the 2018 Conference of the North American Chapter of the …, 2018 | 84 | 2018 |
| Edinburgh’s phrase-based machine translation systems for WMT-14 N Durrani, B Haddow, P Koehn, K Heafield Proceedings of the Ninth Workshop on Statistical Machine Translation, 97-104, 2014 | 62 | 2014 |
| Findings of the wmt 2018 shared task on parallel corpus filtering P Koehn, H Khayrallah, K Heafield, ML Forcada Proceedings of the Third Conference on Machine Translation: Shared Task …, 2018 | 60 | 2018 |
| Combining machine translation output with open source: The Carnegie Mellon multi-engine machine translation scheme K Heafield, A Lavie The Prague Bulletin of Mathematical Linguistics 93 (2010), 27-36, 2010 | 56 | 2010 |
| Edinburgh’s machine translation systems for European language pairs N Durrani, B Haddow, K Heafield, P Koehn Proceedings of the Eighth Workshop on Statistical Machine Translation, 114-121, 2013 | 46 | 2013 |
| Neural grammatical error correction systems with unsupervised pre-training on synthetic data R Grundkiewicz, M Junczys-Dowmunt, K Heafield Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building …, 2019 | 45 | 2019 |
| Machine translation system combination with flexible word ordering K Heafield, G Hanneman, A Lavie Proceedings of the Fourth Workshop on Statistical Machine Translation, 56-60, 2009 | 31 | 2009 |
| Grouping language model boundary words to speed k–best extraction from hypergraphs K Heafield, P Koehn, A Lavie Proceedings of the 2013 Conference of the North American Chapter of the …, 2013 | 29 | 2013 |
| The GALEX ultraviolet variability catalog BY Welsh, JM Wheatley, K Heafield, M Seibert, SE Browne, S Salim, ... The Astronomical Journal 130 (2), 825, 2005 | 23 | 2005 |
| Multi-source syntactic neural machine translation A Currey, K Heafield Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018 | 22 | 2018 |
| Identification of topics in source code GM Rama, K Heafield, S Sarkar US Patent 8,209,665, 2012 | 22 | 2012 |
| Marian: Cost-effective high-quality neural machine translation in C++ M Junczys-Dowmunt, K Heafield, H Hoang, R Grundkiewicz, A Aue arXiv preprint arXiv:1805.12096, 2018 | 21 | 2018 |
Alham Fikri AjiUniversity of Edinburgh; Kata.aiVerified email at ed.ac.uk
