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:
- 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)
- PDF:
- http://www.lrec-conf.org/proceedings/lrec2014/pdf/665_Paper.pdf