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MT techniques in a retrieval system of semantically enriched patents

Author
Gonzalez, M.; Mateva, M.; Enache, R.; España-Bonet, C.; Marquez, L.; Popov, B.; Ranta, A.
Type of activity
Presentation of work at congresses
Name of edition
Machine Translation Summit XIV
Date of publication
2013
Presentation's date
2013-09-04
Book of congress proceedings
Machine Translation Summit XIV
First page
1
Last page
8
Repository
http://hdl.handle.net/2117/20464 Open in new window
URL
http://www.ontotext.com/sites/default/files/publications/mtsummit2013_submission_74.pdf Open in new window
Abstract
This paper focuses on how automatic translation techniques integrated in a patent retrieval system increase its capabilities and make possible extended features and functionalities. We describe 1) a novel methodology for natural language to SPARQL translation based on a grammar– ontology interoperability automation and a query grammar for the patents domain; 2) a devised strategy for statisticalbased translation of patents that allows to transfer semantic annotations to the target language; 3)...
Citation
Gonzalez, M. [et al.]. MT techniques in a retrieval system of semantically enriched patents. A: Machine Translation Summit. "Machine Translation Summit XIV". Nice: 2013, p. 1-8.
Group of research
GPLN - Natural Language Processing Group

Participants

  • Gonzalez Bermudez, Meritxell  (author and speaker )
  • Mateva, Maria  (author and speaker )
  • Enache, Ramona  (author and speaker )
  • España Bonet, Cristina  (author and speaker )
  • Màrquez Villodre, Lluís  (author and speaker )
  • Popov, Borislav  (author and speaker )
  • Ranta, Aarne  (author and speaker )

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