@inproceedings{rodrigues-etal-2016-bootstrapping,
title = "Bootstrapping a Hybrid {MT} System to a New Language Pair",
author = "Rodrigues, Jo{\~a}o Ant{\'o}nio and
Rendeiro, Nuno and
Querido, Andreia and
{\v{S}}tajner, Sanja and
Branco, Ant{\'o}nio",
booktitle = "Proceedings of the Tenth International Conference on Language Resources and Evaluation ({LREC}'16)",
month = may,
year = "2016",
address = "Portoro{\v{z}}, Slovenia",
publisher = "European Language Resources Association (ELRA)",
url = "https://aclanthology.org/L16-1438",
pages = "2762--2765",
abstract = "The usual concern when opting for a rule-based or a hybrid machine translation (MT) system is how much effort is required to adapt the system to a different language pair or a new domain. In this paper, we describe a way of adapting an existing hybrid MT system to a new language pair, and show that such a system can outperform a standard phrase-based statistical machine translation system with an average of 10 persons/month of work. This is specifically important in the case of domain-specific MT for which there is not enough parallel data for training a statistical machine translation system.",
}
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%0 Conference Proceedings
%T Bootstrapping a Hybrid MT System to a New Language Pair
%A Rodrigues, João António
%A Rendeiro, Nuno
%A Querido, Andreia
%A Štajner, Sanja
%A Branco, António
%S Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC’16)
%D 2016
%8 may
%I European Language Resources Association (ELRA)
%C Portorož, Slovenia
%F rodrigues-etal-2016-bootstrapping
%X The usual concern when opting for a rule-based or a hybrid machine translation (MT) system is how much effort is required to adapt the system to a different language pair or a new domain. In this paper, we describe a way of adapting an existing hybrid MT system to a new language pair, and show that such a system can outperform a standard phrase-based statistical machine translation system with an average of 10 persons/month of work. This is specifically important in the case of domain-specific MT for which there is not enough parallel data for training a statistical machine translation system.
%U https://aclanthology.org/L16-1438
%P 2762-2765
Markdown (Informal)
[Bootstrapping a Hybrid MT System to a New Language Pair](https://aclanthology.org/L16-1438) (Rodrigues et al., LREC 2016)
ACL
- João António Rodrigues, Nuno Rendeiro, Andreia Querido, Sanja Štajner, and António Branco. 2016. Bootstrapping a Hybrid MT System to a New Language Pair. In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16), pages 2762–2765, Portorož, Slovenia. European Language Resources Association (ELRA).