Alexandra Birch - Google Scholar

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	Toutes	Depuis 2015
Citations	11658	8085
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Coauteurs

Philipp KoehnProfessor, Johns Hopkins UniversityAdresse e-mail validée de jhu.edu
Rico SennrichUniversity of Zurich; University of EdinburghAdresse e-mail validée de cl.uzh.ch
Ondřej BojarCharles University, Faculty of Mathematics and Physics, Institute of Formal and Applied LinguisticsAdresse e-mail validée de ufal.mff.cuni.cz
Chris Callison-BurchAssociate Professor, University of PennsylvaniaAdresse e-mail validée de upenn.edu
Hieu HoangUniversity of EdinburghAdresse e-mail validée de inf.ed.ac.uk
Marcello FedericoAmazon Web Services AIAdresse e-mail validée de amazon.com
Miles OsborneBloomberg, EdinburghAdresse e-mail validée de bloomberg.net
Nicola BertoldiFondazione Bruno KesslerAdresse e-mail validée de fbk.eu
Marcin Junczys-DowmuntMicrosoftAdresse e-mail validée de microsoft.com
Antonio Valerio Miceli Baronethe University of EdinburghAdresse e-mail validée de inf.ed.ac.uk
Ulrich GermannSchool of Informatics, University of EdinburghAdresse e-mail validée de inf.ed.ac.uk
Orhan FiratGoogle AIAdresse e-mail validée de google.com
Matthias HuckSAP SEAdresse e-mail validée de sap.com
amittai axelrodDiDi AI LabsAdresse e-mail validée de didichuxing.com
Kyunghyun ChoNew York UniversityAdresse e-mail validée de nyu.edu
Steve RenalsProfessor of Speech Technology, University of EdinburghAdresse e-mail validée de ed.ac.uk
Phil BlunsomDeepMind and Oxford UniversityAdresse e-mail validée de cs.ox.ac.uk
Mark SinclairUniversity of EdinburghAdresse e-mail validée de ed.ac.uk
Nadir DurraniQatar Computing Research Institute (QCRI), HBKUAdresse e-mail validée de hbku.edu.qa
Mark SteedmanProfessor of Cognitive Science, School of Informatics, University of EdinburghAdresse e-mail validée de inf.ed.ac.uk

Alexandra Birch

University of Edinburgh

Adresse e-mail validée de ed.ac.uk

Artificial Intelligence Computational Linguistics Machine Learning


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Moses: Open source toolkit for statistical machine translation P Koehn, H Hoang, A Birch, C Callison-Burch, M Federico, N Bertoldi, ... Proceedings of the 45th annual meeting of the ACL on interactive poster and …, 2007	5641	2007
Neural machine translation of rare words with subword units R Sennrich, B Haddow, A Birch arXiv preprint arXiv:1508.07909, 2015	2604	2015
Improving neural machine translation models with monolingual data R Sennrich, B Haddow, A Birch arXiv preprint arXiv:1511.06709, 2015	890	2015
Edinburgh system description for the 2005 IWSLT speech translation evaluation P Koehn, A Axelrod, AB Mayne, C Callison-Burch, M Osborne, D Talbot International Workshop on Spoken Language Translation (IWSLT) 2005, 2005	375	2005
Edinburgh neural machine translation systems for wmt 16 R Sennrich, B Haddow, A Birch arXiv preprint arXiv:1606.02891, 2016	349	2016
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	314	2017
Marian: Fast neural machine translation in C++ M Junczys-Dowmunt, R Grundkiewicz, T Dwojak, H Hoang, K Heafield, ... arXiv preprint arXiv:1804.00344, 2018	172	2018
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	148	2016
CCG supertags in factored statistical machine translation A Birch, M Osborne, P Koehn Proceedings of the second workshop on Statistical Machine Translation, 9-16, 2007	140	2007
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	139	2017
Evaluating discourse phenomena in neural machine translation R Bawden, R Sennrich, A Birch, B Haddow arXiv preprint arXiv:1711.00513, 2017	92	2017
Predicting success in machine translation A Birch, M Osborne, P Koehn Proceedings of the 2008 Conference on Empirical Methods in Natural Language …, 2008	67	2008
Deep architectures for neural machine translation AVM Barone, J Helcl, R Sennrich, B Haddow, A Birch arXiv preprint arXiv:1707.07631, 2017	63	2017
Predicting target language CCG supertags improves neural machine translation M Nadejde, S Reddy, R Sennrich, T Dwojak, M Junczys-Dowmunt, ... arXiv preprint arXiv:1702.01147, 2017	58*	2017
Metrics for MT evaluation: evaluating reordering A Birch, M Osborne, P Blunsom Machine Translation 24 (1), 15-26, 2010	57	2010
Constraining the phrase-based, joint probability statistical translation model A Birch, C Callison-Burch, M Osborne, P Koehn Proceedings on the Workshop on Statistical Machine Translation, 154-157, 2006	56	2006
LRscore for evaluating lexical and reordering quality in MT A Birch, M Osborne Proceedings of the Joint Fifth Workshop on Statistical Machine Translation …, 2010	46	2010
Reordering metrics for MT A Birch, M Osborne Proceedings of the 49th Annual Meeting of the Association for Computational …, 2011	40	2011
Edinburgh SLT and MT system description for the IWSLT 2013 evaluation A Birch, N Durrani, P Koehn Proceedings of the 10th International Workshop on Spoken Language …, 2013	37	2013
A quantitative analysis of reordering phenomena A Birch, P Blunsom, M Osborne Proceedings of the Fourth Workshop on Statistical Machine Translation, 197-205, 2009	37	2009

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