Andy Way

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Josef van GenabithDFKI German Research Center for Artificial IntelligenceVerified email at dfki.de
Jinhua DuInvestments AI, American International Group (AIG)Verified email at aig.com
Antonio ToralAssistant Professor, University of GroningenVerified email at rug.nl
Qun LiuNoah's Ark Lab, HuaweiVerified email at huawei.com
Rejwanul HaqueADAPT Centre, School of Computing, National College of IrelandVerified email at adaptcentre.ie
Aoife CahillDirector, AI Research at DataminrVerified email at dataminr.com
Declan GrovesSenior Program Manager, MicrosoftVerified email at microsoft.com
Sudip Kumar NaskarAssociate Professor, Computer Science & Engineering, Jadavpur University, IndiaVerified email at cse.jdvu.ac.in
Yanjun MaResearcher at BaiduVerified email at baidu.com
Joss MoorkensAssociate Professor, Dublin City UniversityVerified email at dcu.ie
Sheila CastilhoADAPT Centre - Dublin City UniversityVerified email at mail.dcu.ie
Alberto PoncelasDCUVerified email at mail.dcu.ie
Yifan HeAlibaba GroupVerified email at yifanhe.org
Nicolas StroppaGoogleVerified email at google.com
Haithem AFLILecturer, Munster Technological UniversityVerified email at adaptcentre.ie
Hany Hassan AwadallaMicrosoft ResearchVerified email at microsoft.com
Longyue WangTencent AI LabVerified email at tencent.com
Mikel L. ForcadaProfessor of Computer Languages and Systems, Universitat d'AlacantVerified email at ua.es
Louisa SadlerProfessor of Linguistics, University of EssexVerified email at essex.ac.uk
Tsuyoshi OkitaKyushu Institute of TechnologyVerified email at ces.kyutech.ac.jp

Andy Way

ADAPT Centre, Dublin City University

Verified email at adaptcentre.ie - Homepage

machine translation statistical machine translation language technology


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Is neural machine translation the new state of the art? S Castilho, J Moorkens, F Gaspari, I Calixto, J Tinsley, A Way The Prague Bulletin of Mathematical Linguistics, 2017	158	2017
Long-distance dependency resolution in automatically acquired wide-coverage PCFG-based LFG approximations A Cahill, M Burke, R O’Donovan, J Van Genabith, A Way Proceedings of the 42nd Annual Meeting of the Association for Computational …, 2004	147	2004
Exploiting cross-sentence context for neural machine translation L Wang, Z Tu, A Way, Q Liu arXiv preprint arXiv:1704.04347, 2017	146	2017
Getting gender right in neural machine translation E Vanmassenhove, C Hardmeier, A Way arXiv preprint arXiv:1909.05088, 2019	109	2019
Attaining the unattainable? reassessing claims of human parity in neural machine translation A Toral, S Castilho, K Hu, A Way arXiv preprint arXiv:1808.10432, 2018	106	2018
Bridging SMT and TM with translation recommendation Y He, Y Ma, J van Genabith, A Way Proceedings of the 48th Annual Meeting of the Association for Computational …, 2010	97	2010
An example-based approach to translating sign language S Morrissey, A Way	91	2005
Supertagged phrase-based statistical machine translation H Hassan, K Sima’an, A Way Proceedings of the 45th Annual Meeting of the Association of Computational …, 2007	89	2007
Gaijin: A template-driven bootstrapping approach to example-based machine translation T Veale, A Way Proceedings of the NeMNLP’97, New Methods in Natural Language Processessing, 1997	78	1997
Recent advances in example-based machine translation M Carl, A Way Springer Science & Business Media, 2003	76	2003
Quality expectations of machine translation A Way Translation quality assessment, 159-178, 2018	74	2018
Exploiting source similarity for smt using context-informed features N Stroppa, A Van den Bosch, A Way	70	2007
Labelled dependencies in machine translation evaluation K Owczarzak, J van Genabith, A Way Proceedings of the second workshop on statistical machine translation, 104-111, 2007	67	2007
What level of quality can neural machine translation attain on literary text? A Toral, A Way Translation Quality Assessment, 263-287, 2018	65	2018
The ATIS sign language corpus J Bungeroth, D Stein, P Dreuw, H Ney, S Morrissey, A Way, L van Zijl	65	2008
Automatic annotation of the Penn-Treebank with LFG F-structure information A Cahill, M McCarthy, J Van Genabith, A Way	65	2002
A comparative quality evaluation of PBSMT and NMT using professional translators S Castilho, J Moorkens, F Gaspari, R Sennrich, V Sosoni, ... AAMT, 2017	64	2017
Statistical machine translation: a guide for linguists and translators M Hearne, A Way Language and Linguistics Compass 5 (5), 205-226, 2011	64	2011
MATREX: DCU machine translation system for IWSLT 2006. N Stroppa, A Way Proceedings of the Third International Workshop on Spoken Language …, 2006	64	2006
Hybrid example-based SMT: the best of both worlds? D Groves, A Way Proceedings of the ACL Workshop on Building and Using Parallel Texts, 183-190, 2005	64	2005

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