@inproceedings{dove-etal-2012-whats,
title = "What{'}s Your Pick: {R}b{MT}, {SMT} or Hybrid?",
author = "Dove, Catherine and
Loskutova, Olga and
de la Fuente, Ruben",
booktitle = "Proceedings of the 10th Conference of the Association for Machine Translation in the Americas: Commercial MT User Program",
month = oct # " 28-" # nov # " 1",
year = "2012",
address = "San Diego, California, USA",
publisher = "Association for Machine Translation in the Americas",
url = "https://aclanthology.org/2012.amta-commercial.5",
abstract = "All types of Machine Translation technologies have pros and cons. At PayPal, we have been working with MT for 3 years (2 of them in a production environment). The aim of this paper is to share our experience and discuss strengths and weaknesses for Rule-based Machine Translation, Statistical Machine Translation and Hybrid Machine Translation. We will also share pointers for successful implementation of any of these technologies.",
}
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<abstract>All types of Machine Translation technologies have pros and cons. At PayPal, we have been working with MT for 3 years (2 of them in a production environment). The aim of this paper is to share our experience and discuss strengths and weaknesses for Rule-based Machine Translation, Statistical Machine Translation and Hybrid Machine Translation. We will also share pointers for successful implementation of any of these technologies.</abstract>
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%0 Conference Proceedings
%T What’s Your Pick: RbMT, SMT or Hybrid?
%A Dove, Catherine
%A Loskutova, Olga
%A de la Fuente, Ruben
%S Proceedings of the 10th Conference of the Association for Machine Translation in the Americas: Commercial MT User Program
%D 2012
%8 oct 28 nov 1
%I Association for Machine Translation in the Americas
%C San Diego, California, USA
%F dove-etal-2012-whats
%X All types of Machine Translation technologies have pros and cons. At PayPal, we have been working with MT for 3 years (2 of them in a production environment). The aim of this paper is to share our experience and discuss strengths and weaknesses for Rule-based Machine Translation, Statistical Machine Translation and Hybrid Machine Translation. We will also share pointers for successful implementation of any of these technologies.
%U https://aclanthology.org/2012.amta-commercial.5
Markdown (Informal)
[What’s Your Pick: RbMT, SMT or Hybrid?](https://aclanthology.org/2012.amta-commercial.5) (Dove et al., AMTA 2012)
ACL
- Catherine Dove, Olga Loskutova, and Ruben de la Fuente. 2012. What’s Your Pick: RbMT, SMT or Hybrid?. In Proceedings of the 10th Conference of the Association for Machine Translation in the Americas: Commercial MT User Program, San Diego, California, USA. Association for Machine Translation in the Americas.