Mapping Multilingual Hierarchies Using Relaxation Labeling

dc.creatorDaude, J.
dc.creatorPadro, L.
dc.creatorRigau, G.
dc.date1999-06-24
dc.date.accessioned2026-07-07T03:24:11Z
dc.date.available2026-07-07T03:24:11Z
dc.descriptionThis paper explores the automatic construction of a multilingual Lexical Knowledge Base from pre-existing lexical resources. We present a new and robust approach for linking already existing lexical/semantic hierarchies. We used a constraint satisfaction algorithm (relaxation labeling) to select --among all the candidate translations proposed by a bilingual dictionary-- the right English WordNet synset for each sense in a taxonomy automatically derived from a Spanish monolingual dictionary. Although on average, there are 15 possible WordNet connections for each sense in the taxonomy, the method achieves an accuracy over 80%. Finally, we also propose several ways in which this technique could be applied to enrich and improve existing lexical databases.
dc.description8 pages. 1 eps figure
dc.identifierhttps://arxiv.org/abs/cs/9906025
dc.identifierhttp://arxiv.org/abs/cs/9906025
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/33225
dc.subjectComputation and Language
dc.subjectI.2.7
dc.titleMapping Multilingual Hierarchies Using Relaxation Labeling
dc.typetext

Files

Collections