Sharing resources between free/open-source rule-based machine translation systems: Grammatical Framework and Apertium

Grégoire Détrez, Víctor M. Sánchez-Cartagena, Aarne Ranta


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.
Anthology ID:
L14-1525
Volume:
Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)
Month:
May
Year:
2014
Address:
Reykjavik, Iceland
Editors:
Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Hrafn Loftsson, Bente Maegaard, Joseph Mariani, Asuncion Moreno, Jan Odijk, Stelios Piperidis
Venue:
LREC
SIG:
Publisher:
European Language Resources Association (ELRA)
Note:
Pages:
4394–4400
Language:
URL:
http://www.lrec-conf.org/proceedings/lrec2014/pdf/665_Paper.pdf
DOI:
Bibkey:
Cite (ACL):
Grégoire Détrez, Víctor M. Sánchez-Cartagena, and Aarne Ranta. 2014. Sharing resources between free/open-source rule-based machine translation systems: Grammatical Framework and Apertium. In Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), pages 4394–4400, Reykjavik, Iceland. European Language Resources Association (ELRA).
Cite (Informal):
Sharing resources between free/open-source rule-based machine translation systems: Grammatical Framework and Apertium (Détrez et al., LREC 2014)
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PDF:
http://www.lrec-conf.org/proceedings/lrec2014/pdf/665_Paper.pdf