Andy Way
Andy Way
ADAPT Centre, Dublin City University
Verified email at - Homepage
Cited by
Cited by
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
Exploiting cross-sentence context for neural machine translation
L Wang, Z Tu, A Way, Q Liu
arXiv preprint arXiv:1704.04347, 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
Getting gender right in neural machine translation
E Vanmassenhove, C Hardmeier, A Way
arXiv preprint arXiv:1909.05088, 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
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
An example-based approach to translating sign language
S Morrissey, A Way
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
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
Recent advances in example-based machine translation
M Carl, A Way
Springer Science & Business Media, 2003
Quality expectations of machine translation
A Way
Translation quality assessment, 159-178, 2018
Exploiting source similarity for smt using context-informed features
N Stroppa, A Van den Bosch, A Way
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
The ATIS sign language corpus
J Bungeroth, D Stein, P Dreuw, H Ney, S Morrissey, A Way, L van Zijl
Automatic annotation of the Penn-Treebank with LFG F-structure information
A Cahill, M McCarthy, J Van Genabith, A Way
What level of quality can neural machine translation attain on literary text?
A Toral, A Way
Translation Quality Assessment, 263-287, 2018
A comparative quality evaluation of PBSMT and NMT using professional translators
S Castilho, J Moorkens, F Gaspari, R Sennrich, V Sosoni, ...
AAMT, 2017
Statistical machine translation: a guide for linguists and translators
M Hearne, A Way
Language and Linguistics Compass 5 (5), 205-226, 2011
MATREX: DCU machine translation system for IWSLT 2006.
N Stroppa, A Way
Proceedings of the Third International Workshop on Spoken Language …, 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
The system can't perform the operation now. Try again later.
Articles 1–20