@inproceedings{stasimioti-etal-2020-machine,
title = "Machine Translation Quality: A comparative evaluation of {SMT}, {NMT} and tailored-{NMT} outputs",
author = "Stasimioti, Maria and
Sosoni, Vilelmini and
Kermanidis, Katia and
Mouratidis, Despoina",
booktitle = "Proceedings of the 22nd Annual Conference of the European Association for Machine Translation",
month = nov,
year = "2020",
address = "Lisboa, Portugal",
publisher = "European Association for Machine Translation",
url = "https://aclanthology.org/2020.eamt-1.47",
pages = "441--450",
abstract = "The present study aims to compare three systems: a generic statistical machine translation (SMT), a generic neural machine translation (NMT) and a tailored-NMT system focusing on the English to Greek language pair. The comparison is carried out following a mixed-methods approach, i.e. automatic metrics, as well as side-by-side ranking, adequacy and fluency rating, measurement of actual post editing (PE) effort and human error analysis performed by 16 postgraduate Translation students. The findings reveal a higher score for both the generic NMT and the tailored-NMT outputs as regards automatic metrics and human evaluation metrics, with the tailored-NMT output faring even better than the generic NMT output.",
}
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%0 Conference Proceedings
%T Machine Translation Quality: A comparative evaluation of SMT, NMT and tailored-NMT outputs
%A Stasimioti, Maria
%A Sosoni, Vilelmini
%A Kermanidis, Katia
%A Mouratidis, Despoina
%S Proceedings of the 22nd Annual Conference of the European Association for Machine Translation
%D 2020
%8 nov
%I European Association for Machine Translation
%C Lisboa, Portugal
%F stasimioti-etal-2020-machine
%X The present study aims to compare three systems: a generic statistical machine translation (SMT), a generic neural machine translation (NMT) and a tailored-NMT system focusing on the English to Greek language pair. The comparison is carried out following a mixed-methods approach, i.e. automatic metrics, as well as side-by-side ranking, adequacy and fluency rating, measurement of actual post editing (PE) effort and human error analysis performed by 16 postgraduate Translation students. The findings reveal a higher score for both the generic NMT and the tailored-NMT outputs as regards automatic metrics and human evaluation metrics, with the tailored-NMT output faring even better than the generic NMT output.
%U https://aclanthology.org/2020.eamt-1.47
%P 441-450
Markdown (Informal)
[Machine Translation Quality: A comparative evaluation of SMT, NMT and tailored-NMT outputs](https://aclanthology.org/2020.eamt-1.47) (Stasimioti et al., EAMT 2020)
ACL