Barry Haddow
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Neural machine translation of rare words with subword units
R Sennrich, B Haddow, A Birch
arXiv preprint arXiv:1508.07909, 2015
26042015
Improving neural machine translation models with monolingual data
R Sennrich, B Haddow, A Birch
arXiv preprint arXiv:1511.06709, 2015
8902015
Findings of the 2014 workshop on statistical machine translation
O Bojar, C Buck, C Federmann, B Haddow, P Koehn, J Leveling, C Monz, ...
Proceedings of the ninth workshop on statistical machine translation, 12-58, 2014
6832014
Findings of the 2017 conference on machine translation (wmt17)
B Ondrej, R Chatterjee, F Christian, G Yvette, H Barry, H Matthias, ...
Second Conference onMachine Translation, 169-214, 2017
3932017
Findings of the 2016 conference on machine translation
O Bojar, R Chatterjee, C Federmann, Y Graham, B Haddow, M Huck, ...
Proceedings of the First Conference on Machine Translation: Volume 2, Shared …, 2016
3622016
Edinburgh neural machine translation systems for wmt 16
R Sennrich, B Haddow, A Birch
arXiv preprint arXiv:1606.02891, 2016
3492016
Overview of BioCreative II gene mention recognition
L Smith, LK Tanabe, RJ nee Ando, CJ Kuo, IF Chung, CN Hsu, YS Lin, ...
Genome biology 9 (S2), S2, 2008
3272008
Nematus: a toolkit for neural machine translation
R Sennrich, O Firat, K Cho, A Birch, B Haddow, J Hitschler, ...
arXiv preprint arXiv:1703.04357, 2017
3142017
Linguistic input features improve neural machine translation
R Sennrich, B Haddow
arXiv preprint arXiv:1606.02892, 2016
2652016
Interactive assistance to human translators using statistical machine translation methods
P Koehn, B Haddow
Proceedings of MT Summit 12, 73-80, 2009
2002009
Controlling politeness in neural machine translation via side constraints
R Sennrich, B Haddow, A Birch
Proceedings of the 2016 Conference of the North American Chapter of the …, 2016
1482016
The university of edinburgh's neural MT systems for WMT17
R Sennrich, A Birch, A Currey, U Germann, B Haddow, K Heafield, ...
arXiv preprint arXiv:1708.00726, 2017
1392017
Assisted curation: does text mining really help
B Alex, C Grover, B Haddow, M Kabadjov, E Klein, M Matthews, ...
Pac Symp Biocomput 5, 56-67, 2008
1192008
Recognising nested named entities in biomedical text
B Alex, B Haddow, C Grover
Biological, translational, and clinical language processing, 65-72, 2007
1002007
Findings of the 2019 conference on machine translation (wmt19)
L Barrault, O Bojar, MR Costa-Jussà, C Federmann, M Fishel, Y Graham, ...
Proceedings of the Fourth Conference on Machine Translation (Volume 2 …, 2019
942019
Evaluating discourse phenomena in neural machine translation
R Bawden, R Sennrich, A Birch, B Haddow
arXiv preprint arXiv:1711.00513, 2017
922017
Introducing meta-services for biomedical information extraction
F Leitner, M Krallinger, C Rodriguez-Penagos, J Hakenberg, C Plake, ...
Genome biology 9 (Suppl 2), S6, 2008
862008
Improved minimum error rate training in Moses
N Bertoldi, B Haddow, JB Fouet
The Prague Bulletin of Mathematical Linguistics 91 (-1), 7-16, 2009
812009
Analysing the effect of out-of-domain data on smt systems
B Haddow, P Koehn
Proceedings of the Seventh Workshop on Statistical Machine Translation, 422-432, 2012
662012
Deep architectures for neural machine translation
AVM Barone, J Helcl, R Sennrich, B Haddow, A Birch
arXiv preprint arXiv:1707.07631, 2017
632017
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