| KenLM: Faster and smaller language model queries K Heafield Proceedings of the sixth workshop on statistical machine translation, 187-197, 2011 | 1331 | 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 | 609 | 2013 |
| Sparse communication for distributed gradient descent AF Aji, K Heafield Proceedings of the 2017 Conference on Empirical Methods in Natural Language …, 2017 | 479 | 2017 |
| 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 | 425 | 2018 |
| 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 | 244 | 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 | 181 | 2017 |
| 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 | 175 | 2017 |
| N-gram counts and language models from the common crawl C Buck, K Heafield, B Van Ooyen Proceedings of the Ninth International Conference on Language Resources and …, 2014 | 175 | 2014 |
| 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 | 135 | 2018 |
| 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 | 111 | 2019 |
| 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 | 90 | 2018 |
| ParaCrawl: Web-scale acquisition of parallel corpora M Bañón, P Chen, B Haddow, K Heafield, H Hoang, M Esplà-Gomis, ... Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020 | 85 | 2020 |
| 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 | 66 | 2014 |
| Combining machine translation output with open source K Heafield, A Lavie The carnegie mellon multi-engine machine translation scheme. The Prague …, 2010 | 63 | 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 | 50 | 2013 |
| From research to production and back: Ludicrously fast neural machine translation YJ Kim, M Junczys-Dowmunt, H Hassan, AF Aji, K Heafield, ... Proceedings of the 3rd Workshop on Neural Generation and Translation, 280-288, 2019 | 40 | 2019 |
| Incorporating source syntax into transformer-based neural machine translation A Currey, K Heafield Proceedings of the Fourth Conference on Machine Translation (Volume 1 …, 2019 | 40 | 2019 |
| In neural machine translation, what does transfer learning transfer? AF Aji, N Bogoychev, K Heafield, R Sennrich Association for Computational Linguistics, 2020 | 39 | 2020 |
| 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 | 38 | 2018 |
| 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 | 33 | 2009 |
Alham Fikri AjiAmazon確認したメール アドレス: ed.ac.uk
