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Memorias de investigación
Ponencias en congresos:
Leveraging RDF Graphs for Crossing Multiple Bilingual Dictionaries
Áreas de investigación
  • Ciencias de la computación y tecnología informática
The experiments presented here exploit the properties of the Apertium RDF Graph, principally cycle density and nodes' degree, to automatically generate new translation relations between words, and therefore to enrich existing bilingual dictionaries with new entries. Currently, the Apertium RDF Graph includes data from 22 Apertium bilingual dictionaries and constitutes a large unified array of linked lexical entries and translations that are available and accessible on the Web (http://linguistic.linkeddata.es/apertium/). In particular, its graph structure allows for interesting exploitation opportunities, some of which are addressed in this paper. Two experiments are reported: in the first one, the original EN-ES translation set was removed from the Apertium RDF Graph and a new EN-ES version was generated. The results were compared against the previously removed EN-ES data and against the Concise Oxford Spanish Dictionary. In the second experiment, a new non-existent EN-FR translation set was generated. In this case the results were compared against a converted wiktionary English-French file. The results we got are really good and perform well for the extreme case of correlated polysemy. This led us to address the possibility to use cycles and nodes degree to identify potential oddities in the source data. If cycle density proves efficient when considering potential targets, we can assume that in dense graphs nodes with low degree may indicate potential errors.
Nombre congreso
10th Language Resources and Evaluation Conference (LREC'16)
Tipo de participación
Lugar del congreso
Portoro? (Slovenia)
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Título de las actas
Proc. of 10th Language Resources and Evaluation Conference (LREC'16)
Esta actividad pertenece a memorias de investigación
  • Autor: Marta Villegas (Universitat Pompeu Fabra)
  • Autor: Maite Melero (Universitat Pompeu Fabra)
  • Autor: Jorge Gracia Del Rio (UPM)
  • Autor: Nuria Bel (Universitat Pompeu Fabra)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Ontology Engineering Group
  • Departamento: Inteligencia Artificial
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