@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",
editor = "Calzolari, Nicoletta and
Choukri, Khalid and
Declerck, Thierry and
Goggi, Sara and
Grobelnik, Marko and
Maegaard, Bente and
Mariani, Joseph and
Mazo, Helene and
Moreno, Asuncion and
Odijk, Jan and
Piperidis, Stelios",
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
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Declerck, Thierry
%Y Goggi, Sara
%Y Grobelnik, Marko
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Mazo, Helene
%Y Moreno, Asuncion
%Y Odijk, Jan
%Y Piperidis, Stelios
%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).