Summary of the paper

Title Sharing Resources Between Free/Open-Source Rule-based Machine Translation Systems: Grammatical Framework and Apertium
Authors Grégoire Détrez, Víctor M. Sánchez-Cartagena and 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. \\
Topics Tools, Systems, Applications, Lexicon, Lexical Database
Full paper Sharing Resources Between Free/Open-Source Rule-based Machine Translation Systems: Grammatical Framework and Apertium
Bibtex @InProceedings{DTREZ14.665,
  author = {Grégoire Détrez and Víctor M. Sánchez-Cartagena and Aarne Ranta},
  title = {Sharing Resources Between Free/Open-Source Rule-based Machine Translation Systems: Grammatical Framework and Apertium},
  booktitle = {Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)},
  year = {2014},
  month = {may},
  date = {26-31},
  address = {Reykjavik, Iceland},
  editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Hrafn Loftsson and Bente Maegaard and Joseph Mariani and Asuncion Moreno and Jan Odijk and Stelios Piperidis},
  publisher = {European Language Resources Association (ELRA)},
  isbn = {978-2-9517408-8-4},
  language = {english}
 }
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