  This 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.
