@inproceedings{detrez-etal-2014-sharing,
title = "Sharing resources between free/open-source rule-based machine translation systems: Grammatical Framework and Apertium",
author = "D{\'e}trez, Gr{\'e}goire and
S{\'a}nchez-Cartagena, V{\'\i}ctor M. and
Ranta, Aarne",
editor = "Calzolari, Nicoletta and
Choukri, Khalid and
Declerck, Thierry and
Loftsson, Hrafn and
Maegaard, Bente and
Mariani, Joseph and
Moreno, Asuncion and
Odijk, Jan and
Piperidis, Stelios",
booktitle = "Proceedings of the Ninth International Conference on Language Resources and Evaluation ({LREC}'14)",
month = may,
year = "2014",
address = "Reykjavik, Iceland",
publisher = "European Language Resources Association (ELRA)",
url = "http://www.lrec-conf.org/proceedings/lrec2014/pdf/665_Paper.pdf",
pages = "4394--4400",
abstract = "In this paper, we describe two methods developed for sharing linguistic data between two free and open source rule based machine translation systems: Apertium, a shallow-transfer system; and Grammatical Framework (GF), which performs a deeper syntactic transfer. In the first method, we describe the conversion of lexical data from Apertium to GF, while in the second one we automatically extract Apertium shallow-transfer rules from a GF bilingual grammar. We evaluated the resulting systems in a English-Spanish translation context, and results showed the usefulness of the resource sharing and confirmed the a-priori strong and weak points of the systems involved.",
}
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%0 Conference Proceedings
%T Sharing resources between free/open-source rule-based machine translation systems: Grammatical Framework and Apertium
%A Détrez, Grégoire
%A Sánchez-Cartagena, Víctor M.
%A Ranta, Aarne
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Declerck, Thierry
%Y Loftsson, Hrafn
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Moreno, Asuncion
%Y Odijk, Jan
%Y Piperidis, Stelios
%S Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC’14)
%D 2014
%8 May
%I European Language Resources Association (ELRA)
%C Reykjavik, Iceland
%F detrez-etal-2014-sharing
%X In this paper, we describe two methods developed for sharing linguistic data between two free and open source rule based machine translation systems: Apertium, a shallow-transfer system; and Grammatical Framework (GF), which performs a deeper syntactic transfer. In the first method, we describe the conversion of lexical data from Apertium to GF, while in the second one we automatically extract Apertium shallow-transfer rules from a GF bilingual grammar. We evaluated the resulting systems in a English-Spanish translation context, and results showed the usefulness of the resource sharing and confirmed the a-priori strong and weak points of the systems involved.
%U http://www.lrec-conf.org/proceedings/lrec2014/pdf/665_Paper.pdf
%P 4394-4400
Markdown (Informal)
[Sharing resources between free/open-source rule-based machine translation systems: Grammatical Framework and Apertium](http://www.lrec-conf.org/proceedings/lrec2014/pdf/665_Paper.pdf) (Détrez et al., LREC 2014)
ACL